From f4ccbbff6f3aa88f706a407168963d663de0fc7c Mon Sep 17 00:00:00 2001
From: Oli <olifer97@gmail.com>
Date: Wed, 12 Jan 2022 18:01:27 -0300
Subject: [PATCH] add more conclusions

---
 fftma_module/gen/analysis.ipynb | 10274 +++++++++++++++++++++++++-----
 fftma_module/gen/save_logs.sh   |     2 +-
 2 files changed, 8754 insertions(+), 1522 deletions(-)

diff --git a/fftma_module/gen/analysis.ipynb b/fftma_module/gen/analysis.ipynb
index e3f1051..2024b4f 100644
--- a/fftma_module/gen/analysis.ipynb
+++ b/fftma_module/gen/analysis.ipynb
@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -35,7 +35,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -45,7 +45,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -62,7 +62,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -106,7 +106,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -118,7 +118,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -129,7 +129,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -165,7 +165,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -184,7 +184,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -243,7 +243,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -262,7 +262,7 @@
     "def plot_treemap(df, column, name, title):\n",
     "    df[\"parent\"] = [parents.get(item, \"\") for item in df.index]\n",
     "    df2 = df.reset_index()\n",
-    "    df2[name] = df2[[column]]\n",
+    "    df2[name] = abs(df2[[column]])\n",
     "    df2 = df2[[\"function\", \"parent\", name]]\n",
     "    fig3 = px.treemap(df2, names='function', parents='parent',values=name, color=\"parent\", title=title)\n",
     "    fig3.show()"
@@ -284,14 +284,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 100,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[32.388401, 20.1, 100.1, 5.228205, 5.363158, 5.1, 12.295122, 100.1]\n"
+      "[25.531034, 7.507407, 13.893103, 13.893103, 16.229032, 100.1, 10.814286, 20.1]\n"
      ]
     },
     {
@@ -319,23 +319,23 @@
        "  <thead>\n",
        "    <tr>\n",
        "      <th></th>\n",
+       "      <th colspan=\"5\" halign=\"left\">time</th>\n",
        "      <th colspan=\"3\" halign=\"left\">memory</th>\n",
        "      <th colspan=\"3\" halign=\"left\">cpu</th>\n",
-       "      <th colspan=\"5\" halign=\"left\">time</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th></th>\n",
        "      <th>min</th>\n",
        "      <th>max</th>\n",
-       "      <th>median</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>sum</th>\n",
+       "      <th>count</th>\n",
        "      <th>min</th>\n",
        "      <th>max</th>\n",
-       "      <th>mean</th>\n",
+       "      <th>median</th>\n",
        "      <th>min</th>\n",
        "      <th>max</th>\n",
        "      <th>mean</th>\n",
-       "      <th>sum</th>\n",
-       "      <th>count</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>function</th>\n",
@@ -355,243 +355,243 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>Py_kgeneration</th>\n",
-       "      <td>1.2</td>\n",
-       "      <td>1.2</td>\n",
-       "      <td>1.2</td>\n",
-       "      <td>34.560105</td>\n",
-       "      <td>34.560105</td>\n",
-       "      <td>34.560105</td>\n",
-       "      <td>0.633546</td>\n",
-       "      <td>0.633546</td>\n",
-       "      <td>0.633546</td>\n",
-       "      <td>0.633546</td>\n",
+       "      <td>0.595284</td>\n",
+       "      <td>0.595284</td>\n",
+       "      <td>0.595284</td>\n",
+       "      <td>0.595284</td>\n",
        "      <td>1</td>\n",
+       "      <td>0.1</td>\n",
+       "      <td>0.1</td>\n",
+       "      <td>0.1</td>\n",
+       "      <td>25.329470</td>\n",
+       "      <td>25.329470</td>\n",
+       "      <td>25.329470</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>generate</th>\n",
-       "      <td>1.3</td>\n",
-       "      <td>1.3</td>\n",
-       "      <td>1.3</td>\n",
-       "      <td>35.084361</td>\n",
-       "      <td>35.084361</td>\n",
-       "      <td>35.084361</td>\n",
-       "      <td>0.397899</td>\n",
-       "      <td>0.397899</td>\n",
-       "      <td>0.397899</td>\n",
-       "      <td>0.397899</td>\n",
+       "      <td>0.432435</td>\n",
+       "      <td>0.432435</td>\n",
+       "      <td>0.432435</td>\n",
+       "      <td>0.432435</td>\n",
        "      <td>1</td>\n",
+       "      <td>-0.2</td>\n",
+       "      <td>-0.2</td>\n",
+       "      <td>-0.2</td>\n",
+       "      <td>26.008496</td>\n",
+       "      <td>26.008496</td>\n",
+       "      <td>26.008496</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>gasdev</th>\n",
+       "      <td>0.000086</td>\n",
+       "      <td>0.024420</td>\n",
+       "      <td>0.000613</td>\n",
+       "      <td>0.313931</td>\n",
+       "      <td>512</td>\n",
        "      <td>-0.2</td>\n",
        "      <td>0.2</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.000000</td>\n",
-       "      <td>62.562500</td>\n",
-       "      <td>2.701072</td>\n",
-       "      <td>0.000106</td>\n",
-       "      <td>0.007636</td>\n",
-       "      <td>0.000579</td>\n",
-       "      <td>0.296354</td>\n",
-       "      <td>512</td>\n",
+       "      <td>50.050000</td>\n",
+       "      <td>1.325659</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>fftma2</th>\n",
-       "      <td>-0.1</td>\n",
-       "      <td>-0.1</td>\n",
-       "      <td>-0.1</td>\n",
-       "      <td>32.746141</td>\n",
-       "      <td>32.746141</td>\n",
-       "      <td>32.746141</td>\n",
-       "      <td>0.234361</td>\n",
-       "      <td>0.234361</td>\n",
-       "      <td>0.234361</td>\n",
-       "      <td>0.234361</td>\n",
+       "      <td>0.160294</td>\n",
+       "      <td>0.160294</td>\n",
+       "      <td>0.160294</td>\n",
+       "      <td>0.160294</td>\n",
        "      <td>1</td>\n",
+       "      <td>0.3</td>\n",
+       "      <td>0.3</td>\n",
+       "      <td>0.3</td>\n",
+       "      <td>24.091533</td>\n",
+       "      <td>24.091533</td>\n",
+       "      <td>24.091533</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>covariance</th>\n",
-       "      <td>-0.1</td>\n",
-       "      <td>-0.1</td>\n",
-       "      <td>-0.1</td>\n",
-       "      <td>33.296729</td>\n",
-       "      <td>33.296729</td>\n",
-       "      <td>33.296729</td>\n",
-       "      <td>0.224350</td>\n",
-       "      <td>0.224350</td>\n",
-       "      <td>0.224350</td>\n",
-       "      <td>0.224350</td>\n",
+       "      <td>0.157064</td>\n",
+       "      <td>0.157064</td>\n",
+       "      <td>0.157064</td>\n",
+       "      <td>0.157064</td>\n",
        "      <td>1</td>\n",
+       "      <td>0.3</td>\n",
+       "      <td>0.3</td>\n",
+       "      <td>0.3</td>\n",
+       "      <td>23.405370</td>\n",
+       "      <td>23.405370</td>\n",
+       "      <td>23.405370</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>cov_value</th>\n",
+       "      <th>ran2</th>\n",
+       "      <td>0.000085</td>\n",
+       "      <td>0.001395</td>\n",
+       "      <td>0.000124</td>\n",
+       "      <td>0.086921</td>\n",
+       "      <td>702</td>\n",
        "      <td>-0.2</td>\n",
        "      <td>0.2</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>37.537500</td>\n",
-       "      <td>0.925280</td>\n",
-       "      <td>0.000103</td>\n",
-       "      <td>0.000966</td>\n",
-       "      <td>0.000134</td>\n",
-       "      <td>0.093502</td>\n",
-       "      <td>700</td>\n",
+       "      <td>0.375748</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>ran2</th>\n",
+       "      <th>cov_value</th>\n",
+       "      <td>0.000086</td>\n",
+       "      <td>0.000170</td>\n",
+       "      <td>0.000099</td>\n",
+       "      <td>0.069126</td>\n",
+       "      <td>700</td>\n",
        "      <td>-0.2</td>\n",
        "      <td>0.2</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.000000</td>\n",
-       "      <td>25.037500</td>\n",
-       "      <td>0.699745</td>\n",
-       "      <td>0.000101</td>\n",
-       "      <td>0.000583</td>\n",
-       "      <td>0.000133</td>\n",
-       "      <td>0.093435</td>\n",
-       "      <td>702</td>\n",
+       "      <td>25.025000</td>\n",
+       "      <td>0.290690</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>fourt</th>\n",
+       "      <th>cgrid</th>\n",
+       "      <td>0.001410</td>\n",
+       "      <td>0.001410</td>\n",
+       "      <td>0.001410</td>\n",
+       "      <td>0.001410</td>\n",
+       "      <td>1</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.012500</td>\n",
-       "      <td>0.004167</td>\n",
-       "      <td>0.000553</td>\n",
-       "      <td>0.000795</td>\n",
-       "      <td>0.000664</td>\n",
-       "      <td>0.001993</td>\n",
-       "      <td>3</td>\n",
+       "      <td>18.775000</td>\n",
+       "      <td>18.775000</td>\n",
+       "      <td>18.775000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>cgrid</th>\n",
+       "      <th>length</th>\n",
+       "      <td>0.000292</td>\n",
+       "      <td>0.000330</td>\n",
+       "      <td>0.000311</td>\n",
+       "      <td>0.000934</td>\n",
+       "      <td>3</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.001623</td>\n",
-       "      <td>0.001623</td>\n",
-       "      <td>0.001623</td>\n",
-       "      <td>0.001623</td>\n",
-       "      <td>1</td>\n",
+       "      <td>18.775000</td>\n",
+       "      <td>6.258333</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>length</th>\n",
+       "      <th>fourt</th>\n",
+       "      <td>0.000131</td>\n",
+       "      <td>0.000149</td>\n",
+       "      <td>0.000140</td>\n",
+       "      <td>0.000420</td>\n",
+       "      <td>3</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000355</td>\n",
-       "      <td>0.000359</td>\n",
-       "      <td>0.000358</td>\n",
-       "      <td>0.001073</td>\n",
-       "      <td>3</td>\n",
+       "      <td>0.012500</td>\n",
+       "      <td>0.004167</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>clean_real</th>\n",
+       "      <th>maxfactor</th>\n",
+       "      <td>0.000087</td>\n",
+       "      <td>0.000117</td>\n",
+       "      <td>0.000097</td>\n",
+       "      <td>0.000291</td>\n",
+       "      <td>3</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000463</td>\n",
-       "      <td>0.000463</td>\n",
-       "      <td>0.000463</td>\n",
-       "      <td>0.000463</td>\n",
-       "      <td>1</td>\n",
+       "      <td>6.262500</td>\n",
+       "      <td>2.087500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>prebuild_gwn</th>\n",
+       "      <th>build_real</th>\n",
+       "      <td>0.000100</td>\n",
+       "      <td>0.000100</td>\n",
+       "      <td>0.000100</td>\n",
+       "      <td>0.000100</td>\n",
+       "      <td>1</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>25.025000</td>\n",
-       "      <td>25.025000</td>\n",
-       "      <td>25.025000</td>\n",
-       "      <td>0.000454</td>\n",
-       "      <td>0.000454</td>\n",
-       "      <td>0.000454</td>\n",
-       "      <td>0.000454</td>\n",
-       "      <td>1</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>build_real</th>\n",
+       "      <th>prebuild_gwn</th>\n",
+       "      <td>0.000094</td>\n",
+       "      <td>0.000094</td>\n",
+       "      <td>0.000094</td>\n",
+       "      <td>0.000094</td>\n",
+       "      <td>1</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>0.000000</td>\n",
-       "      <td>0.000410</td>\n",
-       "      <td>0.000410</td>\n",
-       "      <td>0.000410</td>\n",
-       "      <td>0.000410</td>\n",
-       "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>maxfactor</th>\n",
+       "      <th>clean_real</th>\n",
+       "      <td>0.000093</td>\n",
+       "      <td>0.000093</td>\n",
+       "      <td>0.000093</td>\n",
+       "      <td>0.000093</td>\n",
+       "      <td>1</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>0.000000</td>\n",
-       "      <td>0.000105</td>\n",
-       "      <td>0.000106</td>\n",
-       "      <td>0.000105</td>\n",
-       "      <td>0.000316</td>\n",
-       "      <td>3</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "               memory                    cpu                            time  \\\n",
-       "                  min  max median        min        max       mean       min   \n",
-       "function                                                                       \n",
-       "Py_kgeneration    1.2  1.2    1.2  34.560105  34.560105  34.560105  0.633546   \n",
-       "generate          1.3  1.3    1.3  35.084361  35.084361  35.084361  0.397899   \n",
-       "gasdev           -0.2  0.2    0.0   0.000000  62.562500   2.701072  0.000106   \n",
-       "fftma2           -0.1 -0.1   -0.1  32.746141  32.746141  32.746141  0.234361   \n",
-       "covariance       -0.1 -0.1   -0.1  33.296729  33.296729  33.296729  0.224350   \n",
-       "cov_value        -0.2  0.2    0.0   0.000000  37.537500   0.925280  0.000103   \n",
-       "ran2             -0.2  0.2    0.0   0.000000  25.037500   0.699745  0.000101   \n",
-       "fourt             0.0  0.0    0.0   0.000000   0.012500   0.004167  0.000553   \n",
-       "cgrid             0.0  0.0    0.0   0.000000   0.000000   0.000000  0.001623   \n",
-       "length            0.0  0.0    0.0   0.000000   0.000000   0.000000  0.000355   \n",
-       "clean_real        0.0  0.0    0.0   0.000000   0.000000   0.000000  0.000463   \n",
-       "prebuild_gwn      0.0  0.0    0.0  25.025000  25.025000  25.025000  0.000454   \n",
-       "build_real        0.0  0.0    0.0   0.000000   0.000000   0.000000  0.000410   \n",
-       "maxfactor         0.0  0.0    0.0   0.000000   0.000000   0.000000  0.000105   \n",
+       "                    time                                     memory       \\\n",
+       "                     min       max      mean       sum count    min  max   \n",
+       "function                                                                   \n",
+       "Py_kgeneration  0.595284  0.595284  0.595284  0.595284     1    0.1  0.1   \n",
+       "generate        0.432435  0.432435  0.432435  0.432435     1   -0.2 -0.2   \n",
+       "gasdev          0.000086  0.024420  0.000613  0.313931   512   -0.2  0.2   \n",
+       "fftma2          0.160294  0.160294  0.160294  0.160294     1    0.3  0.3   \n",
+       "covariance      0.157064  0.157064  0.157064  0.157064     1    0.3  0.3   \n",
+       "ran2            0.000085  0.001395  0.000124  0.086921   702   -0.2  0.2   \n",
+       "cov_value       0.000086  0.000170  0.000099  0.069126   700   -0.2  0.2   \n",
+       "cgrid           0.001410  0.001410  0.001410  0.001410     1    0.0  0.0   \n",
+       "length          0.000292  0.000330  0.000311  0.000934     3    0.0  0.0   \n",
+       "fourt           0.000131  0.000149  0.000140  0.000420     3    0.0  0.0   \n",
+       "maxfactor       0.000087  0.000117  0.000097  0.000291     3    0.0  0.0   \n",
+       "build_real      0.000100  0.000100  0.000100  0.000100     1    0.0  0.0   \n",
+       "prebuild_gwn    0.000094  0.000094  0.000094  0.000094     1    0.0  0.0   \n",
+       "clean_real      0.000093  0.000093  0.000093  0.000093     1    0.0  0.0   \n",
        "\n",
-       "                                                    \n",
-       "                     max      mean       sum count  \n",
-       "function                                            \n",
-       "Py_kgeneration  0.633546  0.633546  0.633546     1  \n",
-       "generate        0.397899  0.397899  0.397899     1  \n",
-       "gasdev          0.007636  0.000579  0.296354   512  \n",
-       "fftma2          0.234361  0.234361  0.234361     1  \n",
-       "covariance      0.224350  0.224350  0.224350     1  \n",
-       "cov_value       0.000966  0.000134  0.093502   700  \n",
-       "ran2            0.000583  0.000133  0.093435   702  \n",
-       "fourt           0.000795  0.000664  0.001993     3  \n",
-       "cgrid           0.001623  0.001623  0.001623     1  \n",
-       "length          0.000359  0.000358  0.001073     3  \n",
-       "clean_real      0.000463  0.000463  0.000463     1  \n",
-       "prebuild_gwn    0.000454  0.000454  0.000454     1  \n",
-       "build_real      0.000410  0.000410  0.000410     1  \n",
-       "maxfactor       0.000106  0.000105  0.000316     3  "
+       "                             cpu                        \n",
+       "               median        min        max       mean  \n",
+       "function                                                \n",
+       "Py_kgeneration    0.1  25.329470  25.329470  25.329470  \n",
+       "generate         -0.2  26.008496  26.008496  26.008496  \n",
+       "gasdev            0.0   0.000000  50.050000   1.325659  \n",
+       "fftma2            0.3  24.091533  24.091533  24.091533  \n",
+       "covariance        0.3  23.405370  23.405370  23.405370  \n",
+       "ran2              0.0   0.000000  37.537500   0.375748  \n",
+       "cov_value         0.0   0.000000  25.025000   0.290690  \n",
+       "cgrid             0.0  18.775000  18.775000  18.775000  \n",
+       "length            0.0   0.000000  18.775000   6.258333  \n",
+       "fourt             0.0   0.000000   0.012500   0.004167  \n",
+       "maxfactor         0.0   0.000000   6.262500   2.087500  \n",
+       "build_real        0.0   0.000000   0.000000   0.000000  \n",
+       "prebuild_gwn      0.0   0.000000   0.000000   0.000000  \n",
+       "clean_real        0.0   0.000000   0.000000   0.000000  "
       ]
      },
-     "execution_count": 100,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -614,12 +614,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 101,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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cXBuRV/4viFN6tCulWgLfYiTa+zBqPbKBwRhteBVRW1SccxXCF1gwEuSlFPx3m5rv98L+tlW+fW7AKH8F2Zvv94LKcV+MJoMfMR4vPYhxcXEjxs1NUXLK+RyMfj4F+bsY+xEFkIR+ZpZhJLMxGNXZEcDsUu7rF4zq4CUYHUyGaq3zJt/dGO1s+eVftsP7M0FrvaKUseS3A6OacLUu/eNnQzCu5i/XWu/JWaiUKqgJoDhX+mB8JmB0wstfI9Emz/tC+IoEjKa6osryDoxkvEtrvbWMjr0D6ITR1l3cMpbfcIz4B2mtczvkKqVuLGDdgo5xBKPTsLUMv5+El7ShnwFvwv0EoyfoWGCD1rrUV5feP/CrMe7UZ3t7peb4GuiplOqcs0ApVYtT75q/xqhWf1gpFZz/GEqpuqUIbR5GT9zH8r+hlApSStUoxj5y7iBy7xi87eYFfRGkYVTLFWUdxhfkbXkfu1FKXYpRtRhf2IZCmEFr7cbom3OlUqpRznKlVCuMu/Ecn2OUmce97c7kWVcppWqX4vDzMDr03pL/DaVUuFKqSjH24cZI1LmPeirjkdkrC1j3lHLsPf8FwHClVIcC4ijN95Pwkjv0M/chcBdGh5LJZ7ozrfUi79XuhxiJ+VbvWy9g9FL9Rin1Ov89trYHo7e79m6frIxnu2cDvyulPsW4Km6G0UlsNcbjZiWJaaVS6m3gIe8FxXKMarbWGB1t7sYYEep0lmNUsS/27qsqxhdLAtAw37rrgQlKqUcx2hUTtNan9AnQWjuVUpMxHltbqZT6hP8eW3Nw6iOFQvgCO3AxsFopNQ0jOU7EeLqjM4DWeof37/85IFIptQjjzrYFMBTjUbCXSnjc2Rg3H9O9NWOrvcdu610+COMi+XTiMarslymlPsZo774Do5yenW/d9cBApdR9GL3ad2mt1wKxGN+Xa5VS7wAbMb7DzsGoCaxVwvMSOczuZu+LL/57bO3cYq7/D8aVa+NSHCvSe6wH8i2f4F3+Yp5lnTHarjIx2rtiMZ5L1UD9fNv3w2gSSMRoC9uOkfi65llnFpBaQEx2vI/P5Ft+C0aBT8e42PgbeB5omGcdB7CkkHMdAvzljWcXMAnjDj33sTvvevUxmh6Sve/9kOecch9by7P+SIzHzzIxHuObk///oqTnKi95lecL4xnv3zHGkdgOjMNI0Bn51huG0YM81fvahPHsdlSedX4A/ingGLMAR75lwd5y94+3vBz3lukpQPU862ngjUJivwmjs3CmN56xBZUjjGavld7vC02eR9gwLgTewLghycZoi18B3GL2/40/v5T3wxVnQCn1B3Bcaz3AhGNPxbiLr6qN6iwhhB/y3oW311q3LmpdIQoibehnSCl1Lsad84cVcKzwfL/XxujNvkqSuRD+o4Cy3BrjiY8fTAlIBAS5Qy8lb4eOrhhDh9YBztJ5HjXzDiBRVAePVK11/sdPTnfMPzEK/CaMaulxQCNggNb6x5LEL4Qwj1LqIEaV+E6M8RQmYDwF0kVrXdiz50KclnSKK72rMNqdtgDX6FOfG29KIQMz5PEERttTcX3lPW7OsLO/A+MkmQvhd5YB1wANMNrRf8YYzlWSuSg1uUMvJ0qpnDnUT2en1npnRcQjhBAisElCF0IIIQKAdIoTQgghAoAkdCGEECIASEIXQgghAoAkdCGEECIASEIXQgghAoAkdCGEECIAlGhgmfXr11fFGJlMLgREaXmAA127di32CHnCXFLuRSGkLPuYYj+Hvn79+vMsFst0i8ViI8+c1kKUkPZ4PEkej+e2rl27/mJ2MOL0pNyL05Cy7GOKldDXr19f1WKxrKpRo0b9evXqHVdKyWg0fsbj0crl0UFura1uj7Z6PFhd2mPVHiwardAoS5DLrVWmFdA1tHIHaUApj1ZWD0p5sFhdWEOdWKye0sahtVYJCQm1EhMTD3s8nj5yde+7pNz7N601bq0tHg9BLo+2uj0eq0djdXu0VWuURitA1VRpniDcCpTG+D/WKKW1JdiJJdiJNdhVUJmXsux7ilvl3shisdjq1at3vEqVKhnlGpEoFa012S5PSKbLE5rlcodluzyh2S5PWLbbE+p061Ct9Wnuroy3IoLcqVme5KoA9d3aGeJ2Bhe8usWNNSQr9xUUkoU1NIugsCyCQrNRp7+Rq1ev3vHk5GSbx+NphDGvsvBNUu59nMejVabLHZrl9IRl5Snz2S5PmMvjKbj85jLKaePglEyrOzPs9KtaPFiCsrEEObEGZ2MNdmIJya5nC89KSUqs5TGaZKQsm6y4Cd0CKLlC9x1OtycoNctVJT3LXTXD6a6S6XRX8WhdZm2c6nQXANpjxZUZgSszoqB3sYZmElIlldCqKYRWS8Ea4jpp38bfkULaZH2dlHsforUmw+kOS89yV0nPNsp9tssdXiH/OdpjwZ0dhjs7DOd/i60uTXDGEVqtmfwNi3f9BPziff2FPclZyN5EOSn1bGuRsfFdyzKQvBxxMevLa9/+KtvlCUrOcNpSs1zVM5zuqk63J6Q8j3fahF7EprizwsnICifjuDF9rDUki+CIFCPBV08puyhFRSuvci9l/lRaa9Kz3RHJGU5bWra7qvei3Wp2XAWxaFczYIz3BZCB3fY7/yX4VdiTDpkVX2Uhd0jlZMmSJdU+++yz6qXdXmtNapYr4kBiRqOth1PabT6U3OlAUkbk0mXLag0d2Dtk5KC+jBzUl4Fd2zHq0gsASDh0kNvGDOfyC7px1UW9uW/89Rw/drTQY2zb9C/jRlzGlf17cGX/Hiz9YnHuBZ4FrbTWXDhiPDXanV/oPp565R3a97+K8y67nt37DuQuH3vP46z+7U/jF3d2KJmJdUja14KEjWerY9ujgrIT60T+ETcAu61cL0yEKK7ffvstrHHjxh0r6njXXXdds7Zt20bnvEJDQ8956qmn659Iy67xyrR3o9p1OPucTmd3bNe3xzmNpr0+tfrpkvncD97lyv49GD6wFyMu7kNWpjGbc0ZGOpPvGMdlfc5hyPnn8k38FwVuv2vPfnpcdj3t+1/Fs6+9l7t807adXD72ntKcXjjQG7gfmA8cwG5bhd12F3Zbo9LsUBRN5kMvJafTSXBw4U1U3333XbXExETrVVddlVyS/aZkOqueSHPWTsly1nB79Cn/P737DaB3vwG5v08cO4puPfsCYLVaGX/3A5zTvScA/3v6MV55egpPvfLWKcfJyEjn7pvH8PQr0zine0/cbjfZGQfdOe8r7VGvzPiIlpFN+f2fzQXGmpySypzPv2LjD5/x0edLeX3mXF6aci/f/PgLEeFh9O7WucDtlHYFW1yZwVUSN70BPIndNh+YA6zGniTVu6JSmD179h4At0dbNm7fVafb2e2b9okZ2XjviXRVq0ET3pr9GXXq1SclOYlrBvcn+uzOdOt56ozM33/9FV8tms/sL5ZTrbqN48eOEuT9bvrg7TcICQllyarf2bdnN9dePpBuvfpSo2atk/bx5qx53HHDSMYMu5Tofldx501XU7VKBPc8/hLT4x4pi9NVGAm+NzAVu201RqL/DHvSgdNuKYrNr+/Q58yZU+Oss85q36ZNm+gJEyY0rlmzZqctW7aEAGzYsCG0X79+rTp06NAuKioq+tlnn62bs51SqmtsbGyDjh07tmvcuHHHV199tXbOe0Vtd++99zbq0KFDu4kTJzb59ddfw7t27domOjq6XcuWLdtPmjSpIcCaNWvCP/zww7oLFy6s1bZt2+gHHnigIcCCBQuqd+3atU379u3bdezYsd3ixYurAWQ53SEHEzMabjqY3GHX0bQ2iRnZdQpK5vklHDrIr6t+5LLhowCoXbdebjIH6NjlXA7s21PgtksXfcbZXc7NXd9qtVK7bp3cZLpxyw616Ovvib1jbKHHt1qtuD1unE4XaekZhAQHkZ6RwVNT3yHu4TuLCj9HLeBW4CdgJ3bbM9htbYu7sahcTlfmx48f36RDhw7t2rZtG33uuee2+euvv0IBUlNTVUxMzFktW7Zs36ZNm+jevXu3ztnffffd16h58+Yd2rdv32727NknZbnCymuvXr1av//++zVz1luyZEm1du3aRZfkPLTWJGc4q+0+lha56WByp/dmfdi01wUXUrtePQXQpdt51KlXH4Bq1W1EtmrNgb0Fl+VZb7/GrfdMplp1GwC1atfBajVu5r9evJAR190IQJNmzenWsw/fLVtyyj6Cg4NIz8jE6XTh8XiwWCxM//AzLj6/Jy2aNS7JqRWHAvoArwL7sNt+wm67E7utYVkfqLLx2zv0/fv3B02cODHy+++/39ylS5fMV199tXZiYmIQgMvl4pprrjlr9uzZu7p06ZKZkpJi6dq1a9vevXunXXDBBekAoaGhesOGDZv++OOPsD59+rS7/fbbjymlitzOarXqf/75ZxPAiRMnLKtWrdoaHh6uU1NTVbdu3doNGjQoecCAAWnXX3/9kcTEROvMmTP3AmzcuDHkqaeeavTdd99trVWrlmfDhg1hF144oO0Pv29Md6ugaqX5DL6c/zF9LryI2nXqnvKe2+3m01nv0O/iwQVuu2PrFoJDQpk4dhQJBw/Qul17Hn36UVW1jsLlcnkmPPiU5b2Xp+R+MRSkSkQ4991yLecNuYEG9WrzwdQnmfLidO6/9TqqV6tamlOKBB4GHva2v80BPsKelFCanYnAcroyD2C32w81atRoH8CMGTNqTpw4sdlPP/207fPPP7clJSVZd+zY8S/A4cOHrQCffvqp7csvv6z5xx9/bKxRo4Zn6NChLXL2lb+8/vPPP6H9+/dvs2fPng3XX3/9sQ8//LD2jTfeeAJg5syZta+99trC27byyHK5g4+lZtdNynDWztsPZtHcj7jv0ScL3GbH1s38vf43HnvufwW+v3PrFjb+/QdvT32e7KxsLrvqasbcdCsAh/bvo2HjprnrNmrSlIP7952yj7tuupqx9z7O23MW8MBt15GUnMpn8StY/smptXtlLCe598G4c/8aeBV70tflfeBA5LcJ/YcffqjSpk2b9C5dumQCTJw48diDDz7YHOCvv/4K2759e/g111xzVs76aWlp1r///js8JzGPGzfuGECXLl0yrVar3rNnT3BiYqK1qO0mTJiQW3DT09MtN954Y9ONGzeGK6U4dOhQyPr16yMGDBiQlj/eL7/80rZ79+7QXr16tUVZgrBYg5Q1SO107K7WvEXLEp+/1ppFcz9i8pNxBb73zCP3U81WgzHjbitwe7fbxdpVPzD7i2+o16Ahrz3/JI/dPyn0lQ9e5K0X3lLDBl9Iu9Zn4dh7+tqw28eO5PaxIwFY//dG9h08zCX9enHHw8+RcPQEfXt04a5x15T4/IBzvK9nsds+BF7CnrStNDsSgeF0ZR7gyy+/rD59+vR6aWlpVo/HQ1JSUhDAueeemz558uSwa6+9ttkFF1yQctVVVyUBrFixotoVV1xxvFatWh6ACRMmHBk3blxV777+K69eSim2b98ecu2115546KGHmu7evTu4Ro0a7u+++67GW2+9tfd0sadlucKPpGQ1SMl01fQ+/53r97VrSE9Npe+FF5+y3eGD+7ln3Bgefe5/1G9Y8J2y2+1m/949zPzsK5KTErlpxGU0adacCwZeUrwPFmhYvy5ff/xf8h4xfhIvT7mP71evY9rs+YSGhPDcQxNp3qRcm78twKXApdhtG4HXgA+xJ8kjk8Xktwn9dLTWVK9e3bV58+aNha0TERGRW71stVq1y+VSxdnOZrPlDrBw3333Na5du7br33//3RgcHMzFF1/cMjMzs8De4W6PDup1fj/X82/NCj3d42U7tm7moTtvAaDzuT14+JmXClxv3S+rycrKotcFA055L27KZA4f2M/Udz/CYin4UA0bNaFbr77Ub2gU0JihI5lw7TArwLo161i27wBvvD8Xl8tNckoakT1i+O2rOdStXbPA/blcLh54ciqfvPUscz7/irq1a/Lmsw/R/6rxXDawL2c1b1LYKRclDBgP3Izdtgh4HnvSr6XdmQhM27ZtC5k8eXKzNWvWbGrfvn3W2rVrwwcOHNgGIDo6Onvz5s3/LlmypNo333xT/fHHH2/y119/nVLGVZ7xE7TW9OnTJ3nx4sW7Cjre4MGDT7zzzju16tat6+rZs2dygwYN3PnXefjhhxt8vnBRHZQl+O6Hn7Dk7fuS18JP5zBkxNWn1IYlHDrI+GuGcstdD3DxZVcWeu4NGjXmkiuGY7VaqVmrNn37D2TD7+u4YOAlNGjchIP791K3fgMADuzbS8/z+xe6L4AF8d/SMrIJnTu0od0Fw/g1fjbr/trIlBen88GrBdcilINoYDrwDHbb68Br2JNOVNTB/ZXftqH369cvbcuWLRE57WTTpk2r7XQ6FUCnTp0yq1at6s7bNv7PP/+E5lS1Faak2yUmJgY1adIkOzg4mL/++it09erVub3aq1ev7k5OTrZmON2hjqNpLTr3vaThz6tXhW3euCH3M9/wx6lP6rSMasu8r39i3tc/FZrMARZ+OpsrRlxzypdA3JTJ7HXs5JV35hAcUngH8ouHXMm/f/1BaorRZ2/V99/QJrqdB+Djrz5y7f71Kxxr41m1aCbVq1XBsTa+0GQO8PLbcxg99BIa1KtDWnpG7pejUpCWXiYX2BZgGLAWu20ZdluPstip8B+nK/MnTpywBgUF6WbNmjk9Hg9Tp06tl7Pdjh07gpVSjBkzJmn69On7tNbs3Lkz5KKLLkr58ssva504ccLi8XiYPn16nZxthgwZkrx69erqa9euDc9Z9v333+eOu3DzzTcf/fjjj+vMmTOnzo033nhKdfvxtOyaN9z1UK1536wJnbd8VaHJPDUlmW+++pIrR1170vIjhw8x/poruXHC3Vw+4vQ1XIOvvIo1P6wAIDMjg3U/ryYqugMAF8dcwfzZ7wOwb89ufvt5Ff0HxRS6r8SkFF5972Mev3c8AOkZmVgsFiwWC6np6aeNo5zUBuzAbuy2OOy2ekWsX6mV+g7d7OdGGzdu7HrttdccQ4cObRUSEqIvuOCC5IiICE/t2rXdwcHBLF68ePudd97Z9M0336zv8XhUzZo1XfPmzdsJnHIlnaOk202ZMuXA2LFjz/rkk09qN2/ePOu8887L7dE+fMSolLnzP2vQpXPn2hdeOoTb7plE3Ovv8FTsfWRmpON0OmnbviNxb7xb4nNPSU7i26VLWPDN6pOW//HbL3zy/gxatIri2ssHAtCoaXOmvjsHAPuDd9Hvokvod/FgGjZuyriJ93L9lYOwWCzUa9CQZ6e+kAlUUZRsIJEdjr388PM6vpr9OgDXDhvM0JvvZ/6SFfQ+txMd27UuYg8lNggYhN22FHgce9JvZX0AUTAzy/3pynybNm2yL7/88uNt27ZtX7NmTdfgwYMTc7Zbv359+JQpU5porXG73eqqq6463qNHj4wePXpkrF27tkrnzp2jq1at6h4wYEDSr78alT8dOnTImjlz5s5bb721eUZGhsXpdKr27dun9+/ffxdA//79061WK7t37w4dNmxYbrlPznBWPZSc2STT6a5SnHNa9uXnRHfsRP5mt7defo6D+/fx8czpfDxzOgCjb7qNK0eNIeHQQSbeMJJ5X/8EwHW33MFTD93L0AvPA6UYeOmQ3Dv6G267k8fvv5OY3l2wWK089NQL1KxVm8JMfuZV7PfdSni4MXDco3ffzLmXjiEkOJj3Xn68OKdUXqoBk4G7sNveAp7EnlSiJ4gqg+KO5d42KChoWevWrVMjIiIyKyCuYjlx4oSlZs2aHoDZs2fXePzxxxvv3LnzXzNjcnu05XByZv3jadkNynLktooQEZ6ZmqWPVQ2xBGe1zkwLLa/jZLo0u/YfocXq+wlLPW3TY3EtAO7BnnRqbx9Rar5Y7n2xzAOkZ7vCDiVlNknNctnMjqWk2gcfLHro10KUQ1kurkPAg9iT5lTkQX2dX7ehP//88/UWLlxYy+PxqKpVq7o//PDDAtu7KoLWmqOp2XWOpGQ2cnl0EWMo+zYF/vYs+HCMO/bHgNexJxVaCyP8my+VeTBGcDyYlNE4OcNZx98KjZ9rAMzGbhsPTMSe9LfZAfkCv75D9xVpWa7w/YkZkZlOd0Fjm/uNnDv0MGtIRsuM1PCityidcr6q/x24Tarhz5yU+8JprTmSmlU3ITmrsa8Ox1pcfnqHnpcbeBOYgj0pyawgfIFfVQn7Go9Hq30n0pvsPJIa7e/JPC8/n/T6HOAX7LbXsdtKPfSuEIXJyHaFbU9IbXsoKbOZvyfzAGEF7gK2YLeNxW7z86+w0pOEXkrJmc6qWw6ntD+ell0/0KraStopzgdZgInAJuy2EWYHIwKD1pqDSRkNtyekRWcUs9ObqFD1gfeBVdht7cwOxgyS0EvIo7XadyK9qeNoWhun21NuHcfM5Idt6IVpBMzDbovHbqtvdjDCf2U43aHbDqe2O5KS1Sj/wDDC5/QCfsNuu97sQCqaJPQSyHS6Q7YnpLY9npYd0M9CBuAfxWDgd+y2XmYHIvzPsdSsWjsSUqMzXYHTrFYJVAE+wG57D7ut3PoD+ZrS93K328ptPnTsST43N/LxtOyaBxIzmleGNrMAukPPqxHwA3bb/diTXjc7GL9VXuXeB8u8t49Ms8QMZ52i1xY+6iagO3bbCOxJBU8bGUD8+mYsZ+altm3bRv/666/h+X9/4YUXTp21pIQ8Wqu9x9Ob7TuRfpZHa2tJ5xwvTFZmJveMG8OQ889lxMV9uHX0UPbs2pn7vtaaaf+LY8j55zJ8YC/GjRxS6L5mTX+NYQN6MvTC87jn5mtJ9nb0TE9PY8yQgYy4uA8jLu7DhGuvYn8hMzYt/HQOg3r2jbiq/1X8/cd/o9lNeXEaHy9cWuLz81HBwGvYbR9ht0kbaADZsmVLSP7y3rhx445r1qwp1d1ZRrY7bFtCaruSJvNtm/7lxuGDuaJfd4YN6MmU+yeSmZGR+97IQX1zX5f2PJu+HVqcdn9aa24edTl92jc/afnKFcu4ol93hvTtyr23XJc74mN+b099kaEDenLt5RedNPPiY/fezh+//VKSU/NnHTCq4MeYHUh58+uEPmPGjLqTJ08+uHnz5o3du3fPyPt7QkJC0MyZM88ooWe53MHbD6e2PZGenbufnDnHv1z5G599s5omzZrzytNTSrX/4WNu4MuVvzF/+Sr6XXwpT0y6K/e9j2e+zdZN//L5ijUsWLGG5wsZUe7nH7/ni3kfM/uL5Sz87heiO3bmjReeAiAsLJwZnyxk/vJVzF++il4XXMgLj8cWuJ8Zr73IwhXL0mOfieWN/00LAfh3yw7+3rSN0UMvLdX5+bDRGD3hy3wIO2GObdu2hZ5pec9xPC275o4jqe2yXO5wl8tVom1DwsJ46OkX+OKHX5m/fBUZ6em8P+1VAFq3a587rPO8r3+i74BBDB56+j6bs995i6bNT0766Wmp2B+8i6nvzmHxT+upW78BM1598ZRtU1OSiV84j8+Wr2LU9eP45P13AOM7Iyw8nC7dzivRufm5qsAc7LYZ2G2lekTPH/htQh87dmzTdevWVX3yyScbd+nSpW3+3++8885mDocjrG3bttEXXnhhKzCu2O+6665GXbp0adugQYOzX3jhhbqvvvpq7c6dO7dt3LhxxxkzZuQOVj7kiitanXPOuR0v639exMQbRnI04TBQsjnHTyc0LIy+F16cO+b52V26nbSfWdNf5+6HHs8djz1nbuT8tm78hy7dzqNKVWMG1r4XXsSSz+cBYLFYcpdrrUlLTTlpAoq8rBYrmZlZZKRnEBwcjMfj4V77y7z65AMlPjc/0QFYh912pdmBiOJbsGBB9ejo6HZRUVHR3bp1a7N+/fowgILKO8C8efNq5pTvSZMm5c63vWfPnqDBgwef1bFjx3ZRUVHRd911VyOAQ0kZDTq2bXXWy89MsYy+bACP3TuhRPE1b9GSqHbGOOpWq5UOnboUOI95VmYmXy2az9Crryt0X9u3bOL7r+O56fZ7Tlq+6vsVtG1/Ni1aRQEw6vpxLP3i81O2t1iteNxuXE4nGelpBAcHk5GRzoxXX+Tuh0wdxtVMt2DMB1HyKS79gN8m9FmzZu3t0KFDelxc3N4//vhjc/7fX3/99T2RkZGZmzdv3vjdd99tz9kuLS3N+scff2xesWLFlilTpjTdv39/yJ9//rn5448/3jF58uRmAInp2bYHn/pftU+++l599s1qunTvybRXTp2mtKg5x0vio5nTc/eTmpLM8aMJ/LD8K8YMGciYIQNZ9uWpBRag3dmd+WXVDxxNOIzWmviF80lLTSHpxH8TE42/5kouPKcNy5cs4qGnT72SB7jnkScYO3xkxHuvvcf9k+/MfuuDecQM6FPe0yWarTrwOXbbs5X52VV/sX///qBx48adNWvWLMfWrVs33nTTTUdGjhzZ0uPxUFh5T0xMtP7555+b161bt2natGn1d+3aFQwwevToFnfccUfChg0bNv37778b//jjjyqvzXi/dUJKVmOApBMn+GjxCp57/Z1Sx5uensbnn84u8Pvh26WLadIskrbtOxa4rdPp5MnJd/NY3CtY8k3AdHD/Pho2+W/2wkZNm3E04RD5axMiIqpw3S23c90VF/H98qWMGXcbb730HNePn0jVapV6iIazgdXYbWebHUhZ8+uhX0tj9OjRx8GYfCEkJMRzzTXXnADo27dvenJyctCW3QfqZVsjmsYvnM+SBXPJysokOyuLGvkmNCjOnOPF9e7rL7PXsYvHPn0FALfLjcvlIjMzk48Wr2D/3j3ccOUgWrRqTZvok78Auvfqyw3jJ3Ln2KuxWK1ceIkxk5I16L8vgRmfLMLj8fDOay/z7usv88izL58Sw8BLh3D5sIvSs/SxqpkHjnq++Holyz56g4efe50du/fRKrIpz8ROPKPz9FEKeAiog912G/YkT1EbCHOsXLmySlRUVEb37t0zACZMmHB80qRJzXKSdEGuu+664wANGzZ0NWnSJHvr1q2htWvXdv/yyy/V77///uD7778fgPTMrNCt23ZY+nm3u3zENYXWZhWHMzubSbffRM/z+zPg0stOeX/h3DkMzTfDWl5vv/I8Ay4Zwlmt2xTa76U4Rt1wM6NuuBmAjX//yeGD++ndbwDPPvIAx48dpUv3njx76+Wl3r8fq4/RSTYGe9LPZgdTVvz2Dr20wsPDc7+wrVarjoiI8IAxF7JSikNJGU3X//ozH898mzc+nMfn3/7MA1OeJjvr5JEvc+Ycf/GtmYXOOX79lRczclBfxgwZWGg8H0x/nW+XLuHND+cTHm48FWOrWZOIKlW5bOhIABo3bUbnbj34968/CtzHqBtu5pOvvuejxSvo1rMP9Rs2OuUK3GKxMHz09bnV8afzSOxTYf97/D5+WLOOA4ePMnf68+w7mMD3qwN6NNVbMB5zCfinGCqT/OXd6XTmDnf9+++/b/rrn3+3ffHDbyxZ9Ydl/N3/NS9FVKla4P52bN2c26nt2UcKbo5yOp08ePtN1K3XgMlPnFqzt2/Pbv7+fR2XXll4+/m6X1bzyawZXNrzbMYOu5TUlBQu7Xk2x48dpWHjJhzc9988RAf27qFOvQYEBRV+f+ZyuXj56ceYZH+OJQvnUbN2HV6aPovvli1hh2NPZa2dqgl8g91W+Be0nwnYhF6jRg13SkpKsb6ctdbsPZ6e2400OSmRKlWrUqNmLZzZ2Xz20ayT1i/unOMfLlrOvK9/4qPFKwp+f8abLP1yAW9/vJDqtpMnabr0iuGs9s5xnHTiBP/8uZ7WbdsXuJ8jhw8BkJGRzpsvPcfYCXcDcDThMMmJibnrfb14IVHtoguNF2DpwqVEtW7p6diuNWkZmeTcpFgsitQ0U+ZDrkjXAp9it/n15DqBql+/fmlbt24N/+2338IAZsyYUbN+/frOFi1aOEtS3m02m6d79+7JDz/6aJOdR9LaZLnc4QmHDnL44P4it20Z1Ta3U9vDz7x0yvsul4vJd4zDVqMmU56fWuBd/qK5c7jwkphTynxesz5fyrJfNrD057+Z9flSqlarxtKf/6ZW7Tr07jeATf/8xa7tWwGY++F7XHL5sNPG/eGMNxh85VXUqVefjPT03LiUUqSlZxR53gGsCrAEu22o2YGUhTN4Dt33nhvNq0ePHulRUVEZrVu3bt+0adOsvO1qeeUk87yPp/TuN5D4z+dzxQXdsNWsxXl9LiDh0EGg6DnHi+vwwf28/NSjNGkWyc2jjEfSgkNCc5P/XbFTmHLfHcz98D0AbpxwNx27GI8Av/nSs9St34CR190EwG1jhuHRGld2NjHDR3HN2FsAo63tqYfuxeN2o7WmafMWPPPqjEJjSjxxgk9nfsqiBe9ngyvkkn69ePfjhZw9cCQtmjbmkv6VYlyWq4BQ73OrWWYH43NMLPeNGjVyvfvuuztvuOGGFi6XS9lsNvfcuXN3WCyWYpf3HB99Onffnffc33ZIvx4WpRThEVV4LO5/1G/Y+Ixi/Hrx53y7dDFR7doz6pLzAeh8bo/c5O/xePhy/sc8PXX6KdvaH7yLfhddUmSfnCpVq2F/4VXuufla3C4Xrdq046lX3ip0/b2OXaz7eRVvfjgfgMuGjuTeW65l+ZJFdO7Wg7Oj22jclXrunVBgPnbbOOxJH5gdzJmo1LOtFZTMK7Oc2dYaWkJSa2WmFlznWAZ8ZIamoiwHrsSeVGlvXwK13Ge53CE7j6S1cbo9hVevVSIBMNtaWdHAPdiTXjM7kNIK2Cr3okgyL5zfT81SNi4GlmK3lduFjah4WU5J5qJQCngVu+0RswMprUqb0Pcez5BkXgglk0/kuACj04wk9QCQ5XIH7zwqyVwU6WnsttvNDqI0KmVCP5CY0SgxI1uSeSFUMZphKpHzgLmVtPe7B9Ba+/8FnsvjsTiOpreWZF62cr8qAu8743V/7ChX6Z5DP5qaVftoalbDotesvCxG1ZP4z2DgDaBkw4b5vwMejycpISGhfr169Y4r5Z+NMVpr9idmNs90uivNrFslkYlHWT0l/6/VGo6kuVFZyQRnlnw+Cx9nAT7GbhuIPWm12cEUV6VK6MkZzmoHEzObF71m5SZ36AW6DbttF/akF8wOpKJ07do1df369bclJiZOT05OtuGnF3rJWZ7amS4tzSaFCLImWiweZ6m2VVnJNPnzZayB2Us+DPgSu60n9qStZgdTHKVO6B0/6Fhu06duuGFDmT8ak57tCttzPL2llvbhIkkbeqHisNt2YE9aYHYgFaVr166/rF+/vo/H42mEHzbRPfnj8duOprvvNjsOX/ZFmH13VZ3aqug189Ga4MyjgZrMc9QCFmO39cCelGh2MEUJyDv0LVu2hHzxxRe2SZMmHQHIdnmCWrc8q/0r735U6NjJ5WXlimX87+kpeNxuWrWN5qn/vXnacZSPHT3CVRf1ptM53Zj63kcAfLt0CdP+9xwWiwWn08mFg2KYOOnRUwatcDqdPHjbWPbv3U2T5i14cdr7BAUFkZWZyW1jhvHqex9TvUaNImNWfnonVgEUxmhyW7EnbTA7mIrStWvXVMAv7lDyioyNvwaQZF6EsOxd2WEqoJPymYoC5mG3XYo9yW12MKfjd1fcxZF3KkWtNXuOp59VFvst6VSKxZ3mMK+nYu/l/AGDTlp2Xt8L/pt2cdmP/PzTD3y3LP6Ubdes/JbqNWoyf/kqqlW35Y40N+PVF7l67C3FSuYAlgDoBFWOqgBfYLfVLnJNYZrI2PhooOA5h4UouYuAV8wOoih+ndCLNZXiRYM6pGe7qoExw9F1V1zMpb06MePV/4ZtPJpwmAcn3MjoywYwfGAv3njh6dz3Lu15Nq88+zilmUqxuNMc5vj809k0btr8pOlZwRgZKme8+KysTJzZWQUOKRkUFExmhjE8a2ZGOsHBIWzd9A+7dmxj0JDid9hUktCL0gLjij0ga7j8XWRsfBVgPhBhdiwioNyJ3Xaj2UGcjt8m9OJMpbj2jw17X501LzRnm5TkJGZ/sZyPl3zHB2+/xuGDBwB49N7bGXX9zXy85FvmLvuRf//+k+VLFuUeq7RTKRZ3mkMwJmz4bPb73Dnp0QL39ee6tQwf2Iv+XaLo3ut8+g86dXjInuf3p0rVaoy4uA9Vq1ene+/zeenJR5n8xHMlilva0IvlQuAps4MQBXoLOP2kBUKUzmvYbS3MDqIwfnuHUYypFNW+EydXtQ++8ioAataqTeNmkezfu5tqNhu/rl7J8aMJueulp6Xh2PHfUNBnOpViUbTWPP7ARGKffoGw8IKfrOl8bg8WrFjD8WNHuX/89fy+dg1dz+t90joWi4XHX3g19/c5706j/6DBuFxuYifeTHZ2NqNuuJkevc8/bTxyh15sD2K3fYE96RezAxGGyNj4G4HrzY5DBKyqGP1o+vniVMt+m9CLZAkKcXv0STUQIaH/DVdstVhxu925AyLM/uIbQsMKHs74dFMpPnSnMRFK3gkYcjRs3IRffvoh9/fCpjlMTUlm26Z/mXy7MdlKeloamRkZ3HL1Fbzz6RcnrVurdh36XHgRy+O/OCWh53Vg3x5++u4bps35jEfvncDwMWOJ7tiJa6+4mIXfnn76X0noxWYFZmG3dcaeJL2KTBYZG98eY7wAIcpTX+B+4PQdokzgt1Xup5tK0RJe3ZaSmlKsc4uoUpVuvfoy862pucvKairF4k5zWK26jR837GTpz3+z9Oe/ue/Rp+h5fv/cZL5r+1Y8HuNiMC01hZ++XU5Uu4KnUs3xwuMP8eDjz2CxWIzpElEoi4XM9LQiz8siVe4l0QZ4xuwgKrvI2Phg4COk3VxUjKew2zqYHUR+pb5DL49nxUuisKkUs906tGGr9vVaRrVl2ICeNGkWyWvvf3LafT372gxeevIRhg3oSVlOpVjUNIcjB/XljQ/mUa/B6Qeu+3rxQr5evJCgoCDcbjcXxVzBsGsKr1X8auF8oqI70KpNOwBuuv0enpx8N06nk1vufrDIuJX2SEIvmXuw2z73pxGlAtAkoJPZQYhKIxSYjd3WHXtS6UblKQcBNX2q1podR1LbpGe7ZVSoUsiZPrV9dna5HifAplzMsQ3ojD0p3exAKpvI2Pi2wJ8YX7KihP4JvWljVZUpnQhL5xnsSQX3ZDaB31a5F+RoanYdSeZnxl/H6/YBrYGSPU4gzlhkbLzCeN5ckrkwQyx2Ww+zg8gRMAk92+UJPpyc2aToNcXpKJTP9dz0I3dit53+EQJR1m4HCu8dKkT5smJUvftE343iJnQPGFXavmrfifRmHq0r4xSXZUpBuf8nB/CUiwp4H7ut4MclRJmKjI1vgtSKCPO1Bu4zOwgofkJP1Fq7srOzfXIu4aQMZ7XULFcNs+MIBBVR5Z7tATwurM6U8j6UGc4CJpodRCXxHFDN7CCEwBiToo7ZQRS3l/tRj8ez8vDhwzHBwcFOi8XiM7dWWmsOHM9oqt1SU3ym3NlOi0dpMl3l99/r0XAkKZOIhN8Jyk4ut+OY7CHstnewJyWZHUigioyN7wKMMTsOIbyqA48C95gZRLESeteuXT3r16+fkpGR0XHHjh118aHZuDJdukpylqfg4dVEiYQEZ1u1ylA4y7OXu8aScZxmW2ahyr923yy1gAeAx8wOJIC9iA99DwkBTMBum4o9yWFWAMV6bC3H+vXrQ4Bm+MgIc4fTXMFxqxKXubVuZHYsgaBKnZ/XVam+tuYn+/e1LLeDeNyEZCRg0SWbuc4PpQItsSclFLmmKJHI2PhLga/MjiNQyGNrZeoj7EnXmnXwEiXmrl27ZgPbi1yxgkTGxj8ISDIvIyFhxzJqB+8NDUvdZ3YogaAqRhXcXWYHEkgiY+MtwPNmxyFEIUZjt72EPelPMw7ut4+tRcbG1wQeNjuOQBOEdpsdQwC5Fbst0uwgAsz1QEezgxCiEAqIM+vgfpvQgTuBGmYHEWiCNJLQy04IYDc7iEARGRtvBR4xOw4hijAIu+1CMw7slwk9Mja+ClKVWS7kDr3MXYfddvqZdERxXQW0MjsIIYrBlGYhv0zowC1AbbODCETBWhJ6GbMAj5sdRICINTsAIYrpXOy2Cyr6oH6X0L3VbveaHUegCtHIA/1lbyh22+mn1BOnFRkbPxDobHYcQpTAhIo+oN8ldGA4xqNzohyEaC0JvewFATeZHYSf84mhNYUogaHYbfUq8oD+mNDl7rwchfjygP3+7WbsNn8sb6bzTo96idlxCFFCIcC4ijygX33BRMbGdwbOMzuOQBYqCb28RAIXmx2EnxqPjAon/NP4iryQ96uEDtxgdgCBThJ6uRpvdgD+JjI2PggZs134r0gqsHbJbxJ6ZGx8MFKwy12o5PPyNEQ6x5XYYKBC2yGFKGO3VdSB/CahYxTsumYHEejCJKGXJ+kcV3JjzQ5AiDMUg91WIR25/SmhjzU7gMog1KOlrbJ8See4YoqMja8DXGZ2HEKcIQvG2CkVciCf5y3YMWbHURmEyVNr5S0SuMjsIPzEaCDY7CCEKANjsdvK/WbJLxI6xpCPUrArQLjW/vI34c9GmB2An7ja7ACEKCNNgK7lfRB/+fIeYnYAlUWYlir3ChBTEVfr/iwyNr4u0MPsOIQoQ5eX9wF8PqFHxsaHA/3NjqOyCPfIHXoFaAB0MzsIHzcYP/h+EqIEJKEDA4Bws4OoLMKkyr2iSK3T6UmfGRFoOmG3NS/PA/jDl7cU7AoUpj1Ws2OoJKT3diG8Y07IqHoiEA0uz51LQhcnCfdoSegVoxN2m4yrULC+gM3sIIQoB+X6hItPJ/TI2PiOQFOz46hMwrQOMjuGSkIBF5odhI8q17sYIUzUH7ut3G6afDqhA+ebHUBlIwm9Qg00OwAf1dfsAIQoJzWAc8tr576e0GVmtQoWKgm9Ig0wOwBfExkbHwp0NjsOIcpRuVW7S0IXJwn1SEKvQC0qaoxnP9IVYx5pIQJVr/Lasc8m9MjY+NpAK7PjqGzCtJYR+SpWR7MD8DFyES8CXbmVeZ9N6EjBNkWoJPSK1sHsAHyMlHsR6Jpgt9Uojx1LQhcnCdVaqjsrliT0k/U0OwAhKkC5lHtfTujlPpC9OFWIJPSKJgndyzt+exOz4xCiAlS6hN7G7AAqoxCtQ82OoZJpW57PpfoZKfOisqg8Cd079GO5jnkrTqVQOlimqa1oYUBLs4PwEa3NDkCIClIuHeN8MqEDZwFy11LBgjxKmx1DJSXV7oYoswMQooJUnjt05ErdFCEaSejmaG92AD5Cyr2oLGphtzUq651KQhe5giWhm0Xu0A1yhy4qkzIv95LQRa4QLfncJJX+7z0yNl4hA0mJyuWsst6hryZ0mWHNBCFamR1CZVXL7AB8QA0g3OwghKhANct6h76a0OULzgShHrlFN0kNswPwAXXMDkCIClajrHfoqwm9ttkBVEZhks/NUh27zVfLYkWRMi8qm0pzhy6F2wShktDNooDqZgdhMinzorKpUdY79LmE7u0cU+ZXLqJo4ZLQzVTZ/+YloYvKpkZZ79DnEjrGScqgMiYI0x7pFWeeGmYHYDJJ6KKyqRRV7tIhziThHo/ZIVRmNcwOwGSVvYZCVD41ynqHvpjQZbYvk4RrSegmqmF2ACaTOQREZVMp7tCFSSK0W6rczVPZ71Dlb09UNray3qEvJnQp2CaJ0G5f/HuoLGRQFSEqlyDstjKtkQ4qy50J//aF+/wWNcn4sYPFQXN1uGpNUupb8TRSSi6yKkC62QGYTP7GTPKQ8+b0gdbff2ir9gQ3VkdrViGziVKV/jHKiuDGnpRdljuUhC5yOXTDpnbX2JOG3Q0jK6ON2revk2XHsc6W7Vnt1B5rY3WkRlUyGltUpa8mLktpZgdgMknoJlns6XXuYk+vk5bV53hCB8uuA+dYtqV0Ujs9LS0HImqTVC8YdxOl5CmkMlLmZd4XE7oUbB+SSWj4X7pl67/cLVt/6L74pPdqknyivWX3/s5qe2Jnyw53a7UvtJ5KrB1GdhOlpAq5hCp7Qhc+5DC16h321Kr3rafrScuDcWW3UvsdnS3bj3ZR2zLaW3YHNVFHbNXIaGxRWp5QKplKkdDdZgcgiucE1Wuu8nSsuYqO+f7XtG6qjhzoqHYd6mLZltrRsosW6mBELVLqBeFuLFf4BarsVe5S7v2Ak6CQTbp5y03u5i0/YcBJ79Uk+XgHi2P/OWpbUifLDldrtT+8rkqsE4qzqVLy9FIBUst6h76Y0JPMDkCcKaX26nqN9up6jb7y9DjpnTxX+Mc6qx0Z0Zbd1iYqoXp10htala5rUsC+oLLfoSeaHYA4MyeoXusnz9m1fuLsky7PLHjckerQ7k5qR8I5lm3pHSy7VHOVUN1GakOr0vXNi9h0leIO/bjZAYjyc7or/GqkJUWr3fs7W3YkdrLscEapvcEN1fGaEWQ1VYqqJoVcUSp7Qj9hdgCifHiwWHfqRs136kbNF3r6nvReVdKTo9XufV0s2090sWx3Rqm9oQ3U8VrhZDerBM12gZ/QHXExWZGx8RnIYzyVTgpVbGt1tG2tO/qUCtiGHDvc3rLrUBfLjuSzvZ106pBUJxhXE6UCYlASSeii0kklovqvul30r+52BTXb7T9b7Tx0jmVbakfLTlqoQ1VrktIggJ68CfyE7nUcaGx2EMJ3HKR2/YOe2vVXeM49abkVt6uFOrj7bLUzoYtle3oHi8PSTB2uVoO0BlblaWBSuKVR2dvQpWZO5KHUXl2v8V5dr3G857yT3gknK72N2ru3i2Xb8S6W7Vlt1Z7gRuqYPz5uJwldiLzcWIO26ybNt+smzT/3nH/SexFkprVRe/d1sWw/3smyPbut2hvUSB2rUZWMJkqV/ShNZ0ju0IUohgxCI/7Urdr86W7F+/lq8vzscbtKldCFOCPphFX5Q7du84e79SlV+LVJOtrBsutgF8v2pLPVTncrtT+snkqs7e2RG1rBoWYjd+hS5sUZ87PH7ZLLeoe+mtATzA5ABLZj2Oqs9HSus9LT+aTlCo+nuTq8r6PadbiLZXtaB8suItWhKrWMtruGSpXLcMm7sSdV9snoD5sdgAhcJXvcbl94PZVUJ6T8H7dzlPUOfTWh7zI7AFE5aSwWh27YxKEbNsk/elYo2Zmt1b59nSw7j3WxbM9op3Kv8htZlD6T+bwr/d+7Iy4mIzI2/jBQmR9jEiY43eN2LdTB3Z3VjoQulm3pHSwOS3N1uFp10hpZla5XBofeWQb7OIkkdCGKKYuQsH/0Wa3+cZ/V6iP3wJPes5GaGG3Zvb+L2p7YybLdFaX2h9RXx2uHG6PmRRSx6zIv2H5qF5LQhY/wYLHu0I2b79CNmy/I1z+njB63k4QuhC9KomqNnz3ta/xM+1Mev2nM0YMdLbsOdbFsT+2odnpaWA5G1Ca5XrAxal4Q8veeYydwXpFrCWGyMnrcrtIk9K1mByBE2VBqP3Ub7vfUbbjM0/2kd4JwOVupA7taqIMbp5kUnY+Rci/8XPEetzvHsu3EkKe+LvNRUX01oe8GMoEwswMRory4CArerJu12Kyb7TA7Fh+xxewAhCgvJz9ud+mqIeVwjPLosXvGHHExHuRqXVQOTmCb2UH4iM1mByBEBdlYHjv1yYTu9ZfZAQhRAbY54mJcZgfhIzYCWWYHIUQF+Lc8durLCf0XswMQogL8anYAvsIRF5MN/Gl2HEJUgPXlsVNfTuhrzQ5AiArws9kB+Bgp9yLQZQPrymPHvpzQ/8boGCdEIJOEfjJJ6CLQ/e6IiymXpiWfTeiOuBgn8LvZcQhRjpIpp7Y0PyYJXQS6NeW1Y59N6F7Sji4C2VrvEx3CyxEXswM4anYcQpSjSpvQpTpSBDL5+y6YfC4ikFXahP4tp0x8KUTA+NHsAHzU12YHIEQ52emIizlYXjv36YTuiIs5gVyti8CUjCT0wnxldgBClJP48ty5Tyd0r3L9AIQwydfejp8iH0dczC5k1DgRmL4sz51LQhfCHIvNDsDHSbkXgSYZWFmeB/D5hO6Ii9kA7DU7DiHKkAepVi6KfD4i0Cwr71o5n0/oXlK4RSD52REXc8zsIHzcT0CK2UEIUYbKvVbOXxL6Z2YHIEQZkur2InjvZBaZHYcQZcRNBdyY+ktC/w7YZ3YQQpQBD/Cx2UH4iQ/NDkCIMrLcERdzvLwP4hcJ3Tua1hyz4xCiDHzriIuRPiHFIxfyIlC8XxEH8YuE7vWB2QEIUQYqpGAHArmQFwHiGPBFRRzIbxK6Iy5mMzJ3tPBvicBCs4PwM3IhL/zdR464mOyKOJDfJHQvKdzCn33qiIuRKYFLQC7kRQB4r6IO5G8J/RMg3ewghCglqW4vnXfNDkCIUvrdERfzd0UdzK8Sunds91lmxyFEKaxzxMXInWbpzAYSzA5CiFKYXpEH86uE7vU/jEd/hPAnz5sdgL/yNlO8ZXYcQpTQISr40Uu/S+iOuJgdyIATwr9sBz43Owg/9yaQYXYQQpTAVEdcTFZFHtDvErrXi2YHIEQJvOR9BEuUkiMu5ijSKVb4j2QquLod/DShO+JifgHWmB2HEMVwGElEZUWa24S/mO6Ii0mq6IP6ZUL3ijM7ACGK4TV5VK1sOOJitiFNF8L3ZQFTzTiw3yZ0R1zMYuQuXfi2Yxhtv6LsPAq4zA5CiNOY6YiLOWjGgf02oXtNMjsAIU7jSTOq3QKZIy5mCxU4UIcQJZQC2M06uF8ndEdczGoqaIxcIUpoOzDN7CAClB1IMzsIIQrwvCMuxrQxE/w6oXs9hDHXrBC+5CHvnN6ijDniYg4Br5gdhxD57MPouGkav0/ojriYTciQmsK3rHHExXxmdhAB7gXgqNlBCJHHI464GFPHSvD7hO41BaPtQghf8KDZAQQ6R1xMCvCY2XEI4fUHxhDFpgqIhO7tUfiQ2XEIAXzoiIuRpy8qxtvIky7CfBq4yxEXo80OJCASutc0pHALcx0G7jU7iMrC+wV6C1Ahc00LUYi3HHExq8wOAgIooXuH1pTCLcx0pyMu5rjZQVQmjriYjcggU8I8u4FYs4PIETAJHaRwC1MtdMTFzDc7iErqWWCz2UGISmm8Iy4m1ewgcgRUQvd6BthkdhCiUkkEbjc7iMrKO6PVLRhtmUJUlFmOuJjlZgeRV8AldEdcTDZwAyDPAIuKcp/32WhhEm8b5stmxyEqjUPAfWYHkV/AJXQAR1zMb8Bks+MQlcInjrgYGQfBNzwMrDU7CBHwPMC1jriYE2YHkl9AJnQAR1zMK8Bis+MQAW0LMN7sIITBOzLf1RhNIEKUlycccTHfmh1EQQI2oXuNBfaYHYQISBnACF/qECPAERfjAMaZHYcIWMuBp80OojABndC9jxBdg0y3KMreREdczAazgxCncsTFfI5MWyvK3n6MqnaP2YEUJqATOoB31K6HzY5DBJQPHXExM80OQpzW/cBvZgchAoYLGOWIizlidiCnE/AJHcARF/Mi8KHZcYiAsA6YYHYQ4vS8j7JdiXFXJcSZut87XbdPqxQJ3esWwOf/Q4RP2wtc7oiLSTc7EFE0R1zMAeByQP6/xJl4wxEX85rZQRRHpUno3ufTrwS2mxyK8E8pwGXeiYCEn3DExfyO0Y/GbXYswi99BdxjdhDFVWkSOoAjLuYocCng0+0gwuc4gWGOuJi/zQ5ElJwjLuZL4C6z4xB+5zdgpCMuxm8uBitVQgdwxMVsBy4D0syORfgFDYx1xMWsMDsQUXqOuJi3kHkeRPFtA2IccTF+lScqXUIHcMTF/ArEIEldFO0uR1zMx2YHIc6cIy7mIeAVs+MQPm8vMMjXe7QXpFImdABHXMxKjKQuHWZEQTRwhyMu5g2zAxFlxxEXcx/wqtlxCJ+1G7jAERezy+xASqPSJnTITeqXIUldnEwDt3uraUWAccTF3AO8bnYcwufswo+TOYDSWmYcjIyNvxBYAoSbHYswnQZuc8TFzDA7EFG+ImPj30SmvRWGHcCFjrgYvx4qvFLfoedwxMV8h3GnnmJ2LMJUGhgvybzSmAhMNTsIYbptQD9/T+Ygd+gniYyN7wTEA43NjkVUuEzgekdczHyzAxEVKzI2/l7gJeQGpzJajzG+xCGzAykLktDziYyNb4IxmEBHs2MRFSYBuMIRF/OL2YEIc0TGxg8D5iDNbpXJImBMII38KFek+TjiYvYBfYBvzI5FVIhNwHmSzCs37wxtFwJHzY5FVIiXgOGBlMxB7tALFRkbHwy8Ddxodiyi3HwLXOWIi0k0OxDhGyJj41th1NC1NjsWUS5cGI+jBmQ/GUnoRYiMjZ8IvAyEmB2LKFNvAfc44mKcZgcifEtkbLwNmAkMMzsWUaaOAqMdcTEBW/sqCb0YImPjuwLzgLPMjkWcsSTgZkdczGdmByJ8W2Rs/N3Ai0Cw2bGIM7YSo708oKfTlTb0YnDExawHzgE+NzsWcUZ+A7pIMhfF4YiLeRWjP81us2MRpeYBngAGBHoyB7lDLzHvVfsLSBW8P9EYY3jHShW7KKnI2PiawAfAELNjESVyAOOu/AezA6koktBLwfu8+ntAV7NjEUU6gDFYTLzZgQj/FhkbfyPwP6CGyaGIoi0CbvFOmV1pSEIvpcjYeCtwH0Z1jjy76ns0MB3jrjzZ7GBEYIiMjW8IvAkMNTsWUaADwJ3exxArHUnoZ8j7mMs7QD+TQxH/2Yhxdb7G7EBEYIqMjb8KeAOob3YsAvjvAv4hR1xMktnBmEUSehmIjI1XwM1AHFDL5HAqs2zgGSDOEReTbXYwIrB529ZfxBirQjoYm0cu4L0koZehyNj4GsDDwF1AqLnRVCoamA884oiL2W52MKJyiYyNPxtj5LGLzI6lkjkKPA1Mkwt4gyT0chAZG98c405xNKBMDifQfQdMdsTFrDM7EFG5RcbGD8K4Y5d5IMpXGsZTKy9K/5iTSUIvR5Gx8edgFPALzY4lAP2F0eFtmdmBCJEjMjbeAowFnkRmbSxrLoz+Sk8GyuxoZU0SegWIjI3vA0zCmHNd7tjPzDqM6s15jrgY+eMVPikyNj4EuA54EGhjcjj+LguYDbzgiIvZZnYwvkwSegWKjI2Pxijgo5GBaUpCY8xT/5IjLmal2cEIUVzeDrNXAJOB80wOx98cxZhz4U1HXEyC2cH4A0noJoiMjW8M3AOMA2qaG41Py7kyf9kRF7PZ7GCEOBORsfF9gfuBGCDI5HB82VaMAXw+dMTFZJgdjD+RhG6iyNj4UIyr9xsxeshazY3IZ/wGfAh84oiLOWZ2MEKUpcjY+AbAtRjlPtrkcHxFGsZcGR8C30pzWulIQvcR3rv26zA61FTGNrd9wByMq/JNZgcjREWIjI3vDtwEXA3YTA6nonkwnlL5EPjcEReTZnI8fk8Sug+KjI3vBlzpfQXyFfw+YDHGlfl3jrgYj8nxCGGKyNj4MOBijDI/BKhjakDlxw2sBr4EPq0MM6BVJEnoPs47tOyl3lc//HvceBfwM7AciHfExfxhcjxC+Bzvo2/nAYMxyn0X/PvpmEPAN8DXwFJHXMxxk+MJWJLQ/Yj3Kr4b0BOjwPcEGpga1OklYbSHr/W+VspAEEKUTGRsfB3+K+89ge5AFVODKpwGtgC/YpT9n4C/pU28YkhC93PeUenOwyjkbYEoIJKK7UWrgYPADmADRvL+FdgiBVmIsuWd6bEjRnLvhFHmo4BGVOydfDpGmd+GMT7Er8C6yjw5itkkoQegyNj4YKAFRiFvjZHga+d71QGqF7ErDaQAx4ETeV5HMAryDmA7sMMRF5Ne1uchhCi+yNj4KhjlPQpohTETXB3vq3aefxd1d5/OyeU957WH/8r9DkdczMGyPwtxJiShV2LexJ8ziYzK9wJIccTFuM2ITQhRPrx3+BaMcp7/Z7ZMdOK/JKELIYQQAUDm8BVCCCECgCR0IYQQIgBIQhdCCCECgCR0IYQQIgBIQhdCCCECgCR0IYQQIgBIQhdCCCECgCR0IYQQIgBIQhdCCCECgCR0IYQQIgBIQhdCCCECgCR0IYQQIgBIQhdCCCECgCR0IYQQIgBIQhdCCCECgCR0IYQQIgBIQhdCCCECgCR0IYQQIgBIQhdCCCECgCR0IYQQIgBIQhdCCCECgCR0IYQQIgBIQhdCCCECgCR0IYQQIgBIQhdCCCECgCR0IYQQIgBIQhdCCCECgCR0USSlVKRSSiulxpodixCViVKqm1JqjVIqzVsGOyulLlFK/amUyvQuq2F2nMI3BJkdgBBCiFMppYKB+UAmcC+QDuwFfgT+Be4AsoA0pdTDwEat9SKTYq0N3AQMAdoBwcBm4BWt9VwzYqqMJKELIYRvagk0B27RWr8LoJS6BKgGPKa1XpGzojehfwYsMiFOgJ7AM8BXwNOACxgOfKqUitZaP25SXJWKJHQhhPBN9bw/E4tY5gv+BVprrXfnLFBKvQWsACYrpV7QWqeZFl0lIW3oPk4p1U8ptc7bXrZDKXWrUsqulNJ51rlRKfWdUipBKZWllNqolJpQwL7OVUp9rZQ6qpTKUErtUkrNzLdODaXULKVUklIqUSn1AVCjkNjaKqU+U0od98a3Til1eb7jaaXUDQVsO8j73mVn8vkIEYiUUrOAld5f53vLyg/AB95lv3mXzfJ+F1QBbvAu097tyfmuUEpFKaXmeMv1EaXUU8rQVCn1hVIqWSl1SCl1f744QpRSTyql1nu3TVNK/aSU6p93Pa31rrzJ3LtMY9QYhAJnlekHJAokd+g+TCnVBVgGHAQeB6zAFOBIvlUnYFwhf4lR1TUEeEspZdFav+ndVz1guXfbOIwr/EhgWJ7jKeALoA8wHdgEDOW/L5G8sbUHVgP7vftLA0YCi5RSw7XWC7XW65RSO73L8+9jFHAC+LqEH4sQlcHbGGXrYeA14DfgMLAFGI/xPbAL2IFxF/wu8Csww7v9jnz7m4tRnmOBGOBR4DhwK/AdMBkYA7yklPpNa/2jd7vqwM3AJ8A7GNX944CvlVLdtdZ/FnEeDbw/jxb/1EWpaa3l5aMvjASdBjTKs6wV4MR7AexdFl7AtsuAHXl+vxLQwLmnOd4V3nUezLPMitEJRwNj8yxfAfwNhOZZpjCS/NY8y54FsoGaeZaFYCTz98z+jOUlL199Af285e6qPMvGFlSOgVRgVgH7sHvXfzvPMitG5zoPMDnP8hoYHe9m5Vs3JN8+awCHiiq/QC2Mi5Afzf4sK8tLqtx9lFLKCgwEFmmtD+Qs11pvB5bmXVdrnZFnO5tSqg5Gdd1ZSimb961E78/LvL1nCzIY4w5/Wp59u4HX88VWC7gQmAdUU0rV8R6zNsYdd2ulVGPv6nMxerwOy7OLizG+FKT3qxAV492cf3jL9DqMC/D38ixPxKgBOCvvulrrbACllMVb9oO8259T2MGUUhbgI4xyfmcZnoc4DUnovqseEA5sL+C9k5YppXorpVYopdIwEvcRjDtjgJyEvhJYgFF1f9TbbnajUio0z66aAwe11qn5jrcl3++tML4MnvIeK+/riTzxo7X+C+PxlVF5th+FUQX3XYFnLoQoa3vy/Z4EZGqt81eFJwE18y5QSt2glPob4/G5YxjlPIb/vlsK8jpwCXCz9ztAVABpQ/dzSqmWwLcYSfM+jKq0bIy77XvxXrRpow7sKqXUeRht7IOAmcD9SqnzCkjip5NzIfgShbeB573omAs84r2LTwEuBz7RWrtKcEwhROm5i7kMjIt14x9KXQvMwujc9iKQ4N3uIYzH6k7dWKnHgduBWK317FJHLEpMErrvSsC4Im5VwHt5lw3B6EV6udY69yo8fy/UHFrrX4BfMBLsaIxqsasxquR2AwOUUlXzJfg2+Xaz0/vTqfM8C3saczFqBoZjtKlVBz4txnZCiOLRRa9SKldhlPdh3psCAJRSTxS0slLqDox2+6la6+fLKSZRCKly91Hedq4VwJVKqUY5y5VSrYBL86yac5Wd96raBtyYd39KqZreXux5/en9mVPt/hXGRd6EPNtZydcGprVOAH4AblVKNcwfu1Kqbr71NwEbMKraR2H02v8x/3ZCiFJLo5DHS89QQd8vPTAGkjmJUmoURo/8jzBqC0UFkzt032bH6EC2Wik1DaPH6UTgH6Czd53lGFXsi5VSbwNVgVsw7vDzJtsbgNuVUgsxHmmp5l0vGSORAyzG6KUep5SKBDZidGYrqK3sDmAVsEEp9Q7GVXx9jILeBOiUb/25wJMYtQ7vaa09JfokhBCnsx4YqJS6DzgA7NJary2D/S7B+A5YqJSKB1oAt2F8N1TNWUkp1R34EKON/VtgTL77hzVa652IciUJ3YdprdcrpS7FaKt+CqN9fArGWMltvetsUUpdhTHc4ksYj5NMw+i4knfQmJVAd4zq9foYnV9+BcZorXd59+XxDgwzFbgWoxrvS+B+4I98sW1USp2LUZU+FqOHe4J3vScLOJ253hgjkN7tQpS1+zCeQX8aozPtB0BZJPRZGM+S34rR72YjxnfDCIzH6nJEYzyOWpeTv3dy3Mh/TXWinKg8zSLCTyilFgHttdatzY5FCCGEb5A2dB+nlArP93trjB7sP5gSkBBCCJ8kd+g+Til1EKPaayfGc+ITMDqxddFabzMxNCGEED5E2tB93zLgGox2rCzgZ+BhSeZCCCHykjt0IYQQIgBIG7oQQggRACShCyGEEAFAEroQQggRACShCyGEEAFAEroQQggRACShCyGEEAFAEroQQggRAEo0sMz69eurAo2QC4HKwgMc6Nq1a2qRa4qAJeVe+AD5LiqGYg8ss379+vMsFst0i8ViI8/cuCKgaY/Hk+TxeG7r2rXrL2YHIyqelHvhI+S7qBiKldDXr19f1WKxrKpRo0b9evXqHVdKyfByfsajNS63DnZ5PMFOtw7yaKwaDRoFKLSmtkpWoDQKDUp7lMVz5ERqRNKJY0dbrH10ePWj6/cBSdiT5P+/EpBy759cHo/F5dZBLo8Odnt0kMutg9xaB7vc2upBB2mNAq20hqralV0tPSkEAKXAYnErlAerxaOUcmO1ugkKchEc5FQhVqfFEuzEYq3wvwOttUpISKiVmJh42OPx9JE79YIVt8q9kcVisdWrV+94lSpVMso1IlEqbo+2pGe7IrJdnpBstyfE5dYhTrcn2OXWIU6PJ8Tt0af9v7YqdBN1/JQ7MEuwJsOVUisk4/CGnENhtx0Etntf27wv43d7kvx9BA4p9z5Ka02m0xOWnu2KyHC6IzKdnohstyfU7dbBGl1ATYqioAoWpTyEOJ0RRR4wNCTDWj07SKmQ7K2u+qEhVktWSJAlMyTIkhkWZM2sEhqUGhJkcZXBqRWqXr16x5OTk20ej6cRsLU8j+WvipvQLYCSK3Tfkel0h6ZluaqkZburZmS7q2S7POEFF+Qzo1T+f2AFmnhf/fKt7sFu2wysBX7x/vwHe5K7rOMSFULKvQ/QWpPhdIenZ7sjMrLdEZlOd0SWyxPh0brC+jR4giyeMLczKDO4Spbbo4MyPO6gDKe7St51gq2W7PBga2pEiDW1SmhQakSINUOpsvtK8v4dKqQvR6FKP9ua3da1DOPIt++k9eW2bz/k9miLkbxdVTKy3VUznO4qRd1xm8QCRHtfN3qXpWG3rQNWAV8Bv2BP8pgUnzhDkbHx5VLuHXExUubzcLk91qQMpy0l02VLy3bZ3B5tNTMebVUeBSpbBxe6jtPtCXG6PbWSM521ACxKecKCrWkRIdbUqqFBKdXCglLKMsGLUwXklc6WLVtCXnjhhbp5lzVu3LjjmjVrwisyjgULFlRv27ZtdM6rXr16Z0dHR7cDcDgcwX369GkdGRnZISoqKnrQoEEtDxw4kJuk3R5tOZaaVWvnkdRWHy9e0bn7uedE9e/VvfFFfbrZHp90d1B2VhYA+/fuYdyIy+gd3YyRg/qeNp4nY+9h+MBe3DzqclKSkwDj6v/2665ij2NXeX0MVYALgEeA1UACdtsc7LbR2G21yuugQpS1tm3bRp84caLcvjMzst1hh5Iy629LSGmz6WBKp/2JGS2SM521SpLM//nzd24YOogRF/dh5KC+rF39Y+5799x8LSMH9c19dW5Wi2XLvipw38tXraL3qFF0HzaMC8aM4c+NGwHI1EFqwx/rufbyixh5yflc2b8H7097tcBY9ux2WIYO6letb49zGj5qfzJq48HkTnuOpTdfvXZ9nQsvvLBViT4cUSwBmdC3bdsWOnPmzLpFr1kyTqezROsPHz48efPmzRtzXu3bt08fMWLEcQCr1aofe+yxgw6H45+tW7dujIyMzLrzzjubHkvLqrnzSGrLjQeTO+9PzGiRmuWyRUW3Vx8t+Y55X//Egm9Wc/zoUeZ++B4AVatW444HH+G51985bSzbNm9kz66dLFixhnN79mHJ53MB+PyTD+nWqy/NIluU5iMpjdrAGOAjjOT+E3bb7ZLcha/KKfebN2/eWLNmzTKtXUrNckXsPZ7edNPB5A7bElLaJ6RkNsnIdlctTfOZ1pp7b7mOCfc9xPzlq3hh2vtMue92MjOM7g9T353DvK9/Yt7XP/H4C69hq1GTCy8ceEpz2ImkJG6KjeWdZ57h188/59n77uPmu+6tApCpg6xPxd7DzRPvZd6yH/ng82V88PYb7Ni6+ZR45n7wLlffcDOfLV/Fl599SnJyctCJ9Kw6D06a1HzyM69U2X0srXlSenZ1jy77psLKyq8T+oIFC6pHR0e3i4qKiu7WrVub9evXhwHceeedzRwOR1jbtm2j814Jzps3r2bnzp3bNm7cuOOkSZMa5izfs2dP0ODBg8/q2LFju6ioqOi77rqrUc57jRs37jhhwoTGHTt2bDd8+PBSZz2HwxH8888/Vx8/fvwxgKZNm7oGDRqU6vZoy/G07Jrtz+1ZZc+Bw7X2n8g4KzXLVUPn+SMPD48gONio6nJmZ5OVmUlO1ZWtZk3O6d6T8IgqBR02V3BwMM7sLDweDxnpaQQHh3Dk8CGWfrGA6265o7SndaasQB/gTeAgdttn2G1DsNt8sTlB+IAVK1ZU6dq1a5s2bdpER0VFRc+ZM6cGwI8//hjRpUuXtlFRUdEdO3Zst3z58ioAV199dfMpU6bUz9l+8+bNIXXq1OmUlZWlvvjii2qdO3du265du+hWrVq1f+WVV+rkrDd8+PDIESNGRJ577rltoqKi2gMopboePXrUCjB+/PgmHTp0aNe2bdvoc889t81ff/0VmrOtUqprbGxsg44dO7Zr3Lhxx1dffbV2znu///57WJ8+faOi2rY7O6pd9Dlx/3ut3Yn07HoHDx4MfXDCjYy+bADDB/bijReeLvFnk3jiOCeOH+W8vv0AiDyrFdWq21j1w4pT1l346Wxiho0kJCTklPd27ttHrRo1iG5lfHX27tqV/QcOWX7fsIl0tzUYpUhJTgYgI8P4LrHVqHnKfoKCg8jISMfldKI9HpTFwvzZM+l5fn8aNm0elJThrLP7eHrrTQeSO+0+lhaZkumsWuKTFifx24S+f//+oHHjxp01a9Ysx9atWzfedNNNR0aOHNnS4/Hw+uuv74mMjMzcvHnzxu+++257zjaJiYnWP//8c/O6des2TZs2rf6uXbuCAUaPHt3ijjvuSNiwYcOmf//9d+Mff/xRZebMmbl/ocePHw/666+/Nn355ZelrpeePn167QsuuCCpcePGLoC0LFf47mNpkZsOJnfafTTlrNkz363a7+LBhZ/v3j2MuLgPF3RqRdVq1Rl1/bgSHT+yZWu69ezL1ZdewP49u4kZNpIXn3iY+x55kqAgn8ifIcBw4EtgP3bbVOy2tibHJHzI4cOHraNGjWr1zDPP7N+yZcvGTZs2bbzoootSMjMz1ahRo1o++uijB7Zu3brxpZde2jt69OhWSUlJlnHjxh395JNPchP122+/XWfo0KHHQkNDda9evdLXrVu3edOmTRtXr169+cUXX2y4Y8eO3Ebiv//+O+Kbb77ZtmvXrn/zx2K32w/9888/mzZv3rxx/PjxCRMnTmyW9/3Q0FC9YcOGTUuWLNn28MMPN3M6nRxPSa8ydPhV7YZcPbbqZyt+Dv7smzXqopgrAHj03tsZdf3NfLzkW+Yu+5F///6T5UsWlejzqVmrNnXr1efrxQsBo/rdsXM7B/buOWm9zIwMln25gKGjri1wP62aNeN4YiK//PknAEu+/57UtDR27j3ocWplffLlN3nzpWcY1KMDl5/fjbsmP0adevVP2c/oG2/lu2XxXHflxVx/60RSk5P55qsvufbmCSet59bampThrL3raFqbrYdT2h1Lzaold+2l4xPf5KWxcuXKKlFRURndu3fPAJgwYcLxSZMmNctJ0gW57rrrjgM0bNjQ1aRJk+ytW7eG1q5d2/3LL79Uv//++4Pvv/9+ANLT0y2bN28Oy9nupptuOmaxlP7ax+Px8PHHH9d58cUX9yamZ9uOpmbXT892VQOjmuyZR+6nmq0GY8bdVug+Gjdtxvzlq0hPS+Xhu25lxdLFXHrF8BLFMXHSo0yc9CgA33/9FQ0aNaZR02Y8dt8dpKcmq5uH9GbUFYNKfZ5lqB5wN3AXdls88BL2pJUmxyRM9v3331dt0aJF5iWXXJIKYLVaqV+/vvvXX38Nt1gsDB8+PBlg0KBBqbVr13b+8ssvEYMGDUp1uVysXLkyom/fvunz5s2rvWjRom0Ahw8fDhozZkzkrl27wqxWq05MTAz6448/wlu2bOkEuOKKK04UVsX+5ZdfVp8+fXq9tLQ0q8fjISkp6aTv0nHjxh0D6NSpc5Y1KIjVf2+PPp6YGJ6dnc2lV/5XbmvWqk16ehq/rl7J8aMJucvT09Jw7NhOSU197yOmPvsE7735Ci2j2tKl23lY812wf/PVFzRr0YrW7doD2afsw1atGh/9739MmTqV1PR0enTqRFTrszyWoBAXEDLzzVe4a/IUBg8dwb7dDm4aEUP02Z1pGXXy9Xfd+g2Y/tGC3N8fuG0s9z/2NL+t+Yl5s2cSEhLCXbFTaNTkv2uhTKc7Yn9iRovDyVlNalUJTqhTNfRIkNUiT8kUk98m9NIIDw/PLZxWq1U7nc7cgXV+//33TREREQU+nlOtWrUC/6DWr18fNmbMmLMAunXrljp79uw9Ba0X/9VX1bKynUEdel/cdM/x9NC878VNmczhA/uZ+u5HFOeiIaJKVQZdPoyvFs0vcULPkZqSzAdvv860jxbw3huvcO55vbl8+Ag9+uLz1OUXX0B4eFjRO6kYCrgMuMzbU/5lYL48BieKkrc39ejRo4+98847dZKTk0/UrFnT1a1bt0yA8ePHN7/44ouTli1btsNisRAdHd0uIyMjtxBWrVq1wL+zbdu2hUyePLnZmjVrNrVv3z5r7dq14QMHDmyTd52w8HASkjPrHU3NamC1Blkysp2Fd8j1fgfN/uIbQsNOX/buv/UG9jp2AjDj0y+oUfPkridtojsybc5nub9f2b8HrfIl2kWfzmHo1QXfnee4oHt3LujeHYAsl9sVeUHfoLZt2rqOHD8W8t3X8bzw1kwAmjSP5OxzuvHnurWnJPS8Vnz1JU2aR9K2fUeu7N+Djxav4N+//+Stl5/j6VemnbK+y+MJTkjJanw0Nbth9fDgY3Wrhh4+bcAC8OMq9379+qVt3bo1/LfffgsDmDFjRs369es7W7Ro4axRo4Y7JSWlWD1DbTabp3v37smPPvpobpu6w+EIzlv1VpiuXbtm5nR4KyiZezxaJSRn1p3x/uxWV4wcY3WjTknmex07eeWdOQQX0JaVY8+unbkdc5zZ2Xy3LJ6otu2Lc3oFevW5J7j1nkmEh0eQkZ6OUgqlFE6ni+wSdvyrQOcCnwDbsdtulXb2ymfAgAGpu3fvDl22bFlVALfbzeHDh61nn312psfjYeHChdUBvvnmmypHjx4NPu+889IBbrnllmPx8fE1p0+fXve66647mrO/pKQka2RkZJbFYmHp0qVVt2zZUvQAK8CJEyesQUFBulmzZk6Px8PUqVPr5byXc4Ow61hGu0PJmU1dnv+e84ps2Zqw8AiWLvov4Z44foyIKlXp1qsvM9+amrs84dBBDh/cf8qxX377g9yObfmTOcCRw4dy/73g4w8ID4+ge+/zc5ft2bWTf//+s8ibgYNHjuT++9npb6l+fbrryJatPdVtNQgPj8jtPX/i+DE2/LGOVm3aFbqv5KQkPnpvOrfdMxmAzIx0lMWCRVlIT0s7bRwerS2J6dl1tyWkdNifmHHS5ylOdQbPoZv7rHijRo1c77777s4bbrihhcvlUjabzT137twdFouFHj16pEdFRWW0bt26fdOmTbPytqMXZP78+btuv/32pq1bt26vlNLh4eGe6dOn786peispj9bqSEpW3WOp2Q1OJJ4IXrF0CQu+WX3SOn/89gufvD+DFq2iuPbygcY5NW3O1HfnAGB/8C76XXQJ/S4ezK9rfuTjmW9jtVpxud306H0+4+9+EICMjHQuP78bzuwsUlKSuahbey4bPpK7Yx8vMLY/fvuFzMxMep7fH4Crb7iZyRNv5v1pU9XY4THYqlcrzSlXpEhgOnAvdtvD2JM+NzmeSsXM58Xr1q3r/vTTT3c8+OCDTe+66y6LxWJhypQp+0ePHp00d+7cHXfffXezyZMnNwkNDdUfffTRDpvN5gGIjIx0durUKe3bb7+t8cEHH+zO2d/TTz+9/5577mkWFxfXqH379ulnn3326bOLV/fu3TMuv/zy423btm1fs2ZN1+DBgxMBjqdl10xIzmwE4HTrkPy35EFBQbz63kc899hk3n3jf1gsFkZeP44R197Is6/N4KUnH2HYgJ4opQiPqMJjcf+jfsPGJfqMFnz8AfEL54PWtGgVxSvvzj6ptmLR3DkMHDyEqtWqn7Tdku+/J/6HH5j2xBMAPPXmm6xZvx6X203Xzp31zJemkE0wVquVF6e9zyvPTMHtcuFyuRgzbgKdunYvNKapzz3ObffFEhZufCK33PUAo2MuJDg4GPuLrxf73NKz3dVPZHiqv7j62DNb5sff7YiL2VeSz6YyKO5Y7m2DgoKWtW7dOjUiIiKzAuLyW8kZzmoHkjKaZbs8PlNvXRxWpXV75TilI0qmS7Nr/xFarL6fsNS9ZoRWlJ+BSdiTVpkdSKCRcl88ienZtsPJWY2zXO4KHeeiLNQmO71WYsJpayY81cJTqgQnVztkbZie4AwrVi1GedCubBIO7MP+fQL7U9yZwKvAM464mBSzYvI1flvl7muyXZ5gx9G0Fo5jaVH+lsz9XE/gJ+y2L7HboswORlQeGdnusG2HU9rsOZ7eyh+TeXFpizH0b4YnyNTR6vIJAyYDWyNj42+IjI2XXvFIQj9jWmsOJ2fW23o4pX3OkIfCFEOAv7HbHsduCy1ybSFKSWvNwaSMBtuPpEZnON2B/+y0FW9Ct/pi+3UDYBbwc2Rs/Lkmx2I6SehnICXTWWXr4dTow8mZTT3a3LGWBQChgB34C7vt/CLWFaLE0rJc4VsPp0YfSclqrCvJs9LaAlpZXS6tfDlf9MBI6k9ExsZX2g6zvvwf5LOcbk/Q7mNpkbuOprUN5Ko2P9YG+AG77U3stsC/gxLlzqO12n8io/HOI2ntKl2Zt2jlsQSX69SoZSQImAKsiYyNr5TNb5LQSyg5w1lt6+GU9kkZztpFry1MpIDbgX+w23qZHYzwXymZzipbD6VEH0vLalAeUxT7POW2uFWwP4390A34IzI23rQxrc0iCb2YvO1mDR3H0qJ8dOpSUbDmwErstsnYbZXvy1iUmtaa/ScyGu86mtY2211JO7oq5bHgsTpVsL9NeRwBvBEZG780Mja+YZFrB4hSJ6bymhcZfG9uZKfbY91zPL1FWpbLZnYsolSCgDigH3bb9diTjhS1gSjYprbtyqXct9u8yafKvMvtse4+ln5WWraretFrB7CgIFewx2lNU0H+dIee1yXAhsjY+NsccTGfFbm2n5M7dODLL7+s1rFjx3YtW7Zs36pVq/a33XZbE7fb+PtNzXRV2Z6QGl2cZL5t07/cOHwwV/TrzrABPZly/8TcqQu3bfr3pLmIL+15Nn07FD5527ZN/zJuxGVc2b8HV/bvwYqliwFjXPiXn3qMYQN6ckW/7jz+wJ04s08djxng7akvMnRAT669/CIO7PtvILvH7r2dP377pfgfUOC4BPgTu+0CswMRZWvLli0hL7zwwklTJjdu3LjjmjVrStzenZ7tCt+WkNquNMk8PS2V28YM54KzW9KnffMi11/x1ZcMH9iLYQN6MmxAT/Z7J1I5diSBe2+5jqsu6s2V/Xsw591Th0cFY2rXe8aNYcTFfbj3lutwuYym7qzMTG4cPpjkxMSSnsJJtNXiCnK7gjN1kD/nitrA/MjY+P9Fxsb783kUKWBOrqRzledVu3Zt19y5c3fs2LHj37///nvjb7/9VuXNN9+sfTg5s96uo2ltnG5P4eOy5hESFsZDT7/AFz/8yvzlq8hIT+f9aa8C0Lpd+9whG+d9/RN9Bwxi8NARBe4nIyOdu28ewx0PPsKi79eyYMUazuneEzCmPdz0z1/MXbqSRd+vxWKx8NHM6afsIzUlmfiF8/hs+SpGXT+OT9435kv/+cfvCQsPp0u380r1WQWARsC32G0PmB2IKDvbtm0LnTlzZt2i1zy9Y2lZNXceSWvrdHtCgdwEWVxBQcHcePvdvP3JoiLX3fTP37z+wtNMm7OAz7/9mdlfLKdWHWNiuJeefISWrdvw2Ter+Tj+O76c/zH//Pn7KftYs/Jbqteoyfzlq6hW3cZq71SpM159kavH3kL1GjVKFP+pJ2TxWNAqw2MNhGbGe4FFkbHxAdtR1q8TulKq67333tuoQ4cO7SZOnNjk119/De/atWub6Ojodi1btmyfd87z++67r1FMTMxZF154YauWLVu2P++886IOHz5sBejdu3dGdHR0NkBERIRu3759xhbHvgaHkzOblqQTTPMWLYlq1wEwZoLq0KnLKVMXgnH1/NWi+Qy9+roC97N00Wec3eXc3CRutVqpVdso6Fs2/sN5fS4gOCQEpRS9+w9kyYK5p+zDYrXicbtxOZ3e+c+DychIZ8arL3L3QwUPC1uJWIEXsdumy5jw/mXBggXVo6Oj20VFRUV369atzfr168MA7rzzzmYOhyOsbdu20RdeeGGrnPXnzZtXs3Pnzm0bN27cMe/3wZ49e4IGDx58VseOHdtFRUVF33nnnY32nUhvsv9ExlmDzutoeeXZxxl92QAeu3dCQWEUKiQ0lB69z6da9aJb5z6c8QbX3XI79RoYYVWpWo3wcGMgti0b/6HPhRcBEBFRhXN69GLJ56eW86CgYDIz0gFjjPTg4BC2bvqHXTu2MWjI0BLFXhBtUR6tId0T5IvPoJfGEOCnyNj4JmYHUh78OqGDMWvaP//8s+ntt9/e17p166xVq1Zt3bhx46a//vpr4+LFi2t+++23VXLW/fPPP6t8/PHHu3bs2PFvnTp1XFOnTj3lin7Hrt3hXy1dVrfPgEvPqBNMenoan386m4LmOP926WKaNDNmHirIjq1bCA4JZeLYUYwc1JdH7rmN48eMOSWiO3bmh2+WkZqSjNPpZPnihRzYd+qQrBERVbjultu57oqL+H75UsaMu423XnqO68dPPGUc50rsViAeu00+ED+wf//+oHHjxp01a9Ysx9atWzfedNNNR0aOHNnS4/Hw+uuv74mMjMzcvHnzxrxzNyQmJlr//PPPzevWrds0bdq0+jnTK48ePbrFHXfckbBhw4ZNf/69Ycvvf/9b99O583In9U46cYKPFq/gudffKbfz2bltC4f27+Omq2IYecn5vPHiM+Q09UWf3ZmvFn2Gx+Ph+LGjrFn5XYE3Bz3P70+VqtUYcXEfqlavTvfe5/PSk48y+YnnyiZIKxpLkNOjCaQOpZ2BteXZD8wsfp/QJ0yYkDt7Unp6uuWaa66JjIqKiu7atWu7AwcOhKxfvz537OELLrggqUGDBm6AHj16pO7cufOkEcUOJRwNu+LKK9uNnXA37Tt1KXVMzuxsJt1+Ez3P78+ASy875f2Fc+cwdFTh0xe63S7WrvqBx557hbnLfqReg4Y887AxV/sVI0fTu98AbhpxGeNGxND8rFZYrQWPaTPqhpuZ9/VPTJvzGYcPHuDwwf307jeAZx95gAduG8tHM98u9TkGkIuBVdhtTc0ORJzeypUrq0RFRWV07949A2DChAnHExISgnOSdEGuu+664wANGzZ0NWnSJHvr1q2hycnJll9++aX6/fff36xt23btz+l6bqe9ux1Beecfv3zENSdNalIe3C4Xm//9m7dmf8asz5fy1/pfmTf7PQDuf+xpMtLSGHXJ+Tx05y2c27P3KfOaA1gsFh5/4VXmL1/FlLipfDrrHfoPGozL5SZ24s3cN/763JnRSsUCfvIMekk1An6MjI0/82oMH+L3CT1nRiWA++67r3Ht2rVd//7778YtW7Zs7NGjR0pmZmZuqQwLC8udicZqtWqXy5X73qGEY+GXXDo4ut/FMer68QU/vrhj6+bcTm3PPlJwE6zT6eTB22+ibr0GTH4i7pT39+3Zzd+/r+PSKwtuPwdo2KgJ3Xr1pX7DRiiliBk6kr9/XwcY8zxPuC+Wect+5MNFyzmrdZvTzkMMRjvgy08/xiT7cyxZOI+atevw0vRZfLdsCft2O067bSXREViL3Vb6qzjhk8LDw3O/H6xWq3Y6nbkTUq1e+9vOz79fa5n39U9qyarfGX/3f2U6okrBzazF+Q4orgaNmzDg0ssJCw8nIqIKAy65LLec16xVm6deeYv5y1fx9scLUUoVWc4P7NvDT999w6jrb+bNl55h+JixPPW/N4mbMrnUMWqLVi7/ega9JCKABZGx8ZPMDqSs+H1CzysxMTGoSZMm2cHBwfz111+hq1evLlZV6qGjx6pcOnhwu179B6q8hTq/llFtczu1PfzMS6e873K5mHzHOGw1ajLl+akFXuEvmjuHCy+Jobqt8Da2i4dcyb9//UFqSjIAq77/hjbRxvznWZmZuT1XTxw/xvtvTWXshLtOe34fzniDwVdeRZ169XPnPwfj4iAjvVgzRlYGDYHvsNsq/XjQvqpfv35pW7duDf/tt9/CAGbMmFGzfv36zhYtWjhr1KjhTklJKdbwyzabzdO9R4+0R594up3L2+G1sPnH8yvqO6AkBl9xFT//+B0ejweXy8XPP35Pm2ijD07iieO5HX03/fM333/9FaOuH3fa/b3w+EM8+PgzWCwWo5yjUBYLmWdSxpXb4jyDWbb9gAKej4yNf9rsQMpCqf+nfO1ZcYApU6YcGDt27FmffPJJ7ebNm2edd955yUVtk5rlinj2hVei/vnrd5WRkc533sfDLoq5glvuKtkV+NeLP+fbpYuJateeUZcYQ4l3PrdHbsH3eDx8Of9jnp56aq/0vPOfN2zclHET7+X6KwdhsVio16AhU56fasSbksy4kUNQFgva42H0TbfS76JLC41pr2MX635exZsfzgfgsqEjufeWa1m+ZBGdu/Wgdbv2JTrHAFcDWIHddjH2pF/NDsYXmfm8eKNGjVzvvvvuzhtuuKGFy+VSNpvNPXfu3B0Wi4UePXqkR0VFZbRu3bp906ZNs/K2o+eXluWKiHvrg7Dnn3jYcqbzjxfkqot6c+L4MVJTUrioW3u69erDs68azVsjB/XljQ/mUa9BQy65Yjib/vmbYQN6YrFYOKd7T8bcdBsA//y5nuenxGINCiKiSlVefGsmdes3KPSYXy2cT1R0B1q1aQfATbffw5OT78bpdHLL3Q+W8kyUVspjzdIBe4ee1yORsfFZjriYp8wO5ExU6vnQkzOcVfccT2/t0TqgaipKw4/nQy8PScAg7ElrzQ7ETIFY7tOyXBG7jqZFyWRKhtPOh261Oi213PoY9VxHnSGmzYOeI9986OV1mEmOuJgXy2vn5a3SJrKk9OzquyWZi4LZgOXYbT3NDkSUHUnmJRRkdQe7XcEB8gx6cb0QGRt/+jZMH1Ypk1lShrP6nuMZrbQkc1G46sDX0qYeGNKzXWGSzEtGWy1uhVbpbp+cB708vRoZG3+r2UGURnETmgfQgTD/b1qWK3zv8fSWlXLWpFLIbZEpRtNMAKoGLMFuizQ7EFF62S5P0O5j6a0lmZeQVbmxBDk1AfUMenFNi4yNv9HsIEqquFUpBzweT1JCQkL9evXqHVdK+eW3e7bbE7TvROZZbo9H7szz8ShNZr7/Vq3hSJoblZVMcObRQrYMePWBpdhtvbAnnTA7GFEyHo9WjmNprYo7fLPIw6q0RwW7gMp2hw7GRcy7kbHxaY64mHlmB1NcxUroXbt2TV2/fv1tiYmJ05OTk2344RWb1lhOZLobuDyV8o+zSBalCeLUpK2ykmny58tY3QHRJ6q02gJfYLddhD0py+xgRPFordl9PL1FptNdpei1RX7aAgH8DHpxWIAPImPjdzniYn4zO5jiKHZnh65du/6yfv36Ph6PpxF+1vaelu2xPPHj8RmZLi2jgRUiBKdzaehDJ9/FaE1w5tHKnsxz9AVmYbeNxp7klzVUZcJuK5/hMu1JZf443IHEzMYpmc6aZb3fSsOiVbYKrrx/64YwjAldujniYg6YHUxRStR7sWvXrqnA1nKKpdxExsb/D+htdhy+LBSXDnNWmsfSSutqYAfwqNmBVFZz5sypMWXKlMYhISH6ww8/3JUzDGx+R1Ozah9Lyyr8we18fvt5FdmZmfTuP7BUcf39xzqemnwPmZmZ1G/YiGemTqd+w0anrLf0iwW8/9bU3Fncrhg5hhtunZj7/rZN/xI3ZTLHjh4BYOKkRxl46ZBT9vNk7D38te5XatauwyvvzKZadRtaa+64fgQPPfUiTSMLn5q5uJTyWLJ0ZergXqhGGEn9AkdcTIF/b77Cr+60SyMyNv56jGnzhCgLD2O3nTrjjqgQM2bMqDt58uSDmzdv3lhYMk/OcFY7mJhZ9GTkXi6Xi3U/r2L1ym9LFZPH4+HhO8fzoP05Fv+4jr79L+LFJx4ucN0GjRrz1uzP+Pzbn/lg4TLmz57Jbz+vAk4/bXJe2zZvZM+unSxYsYZze/bJnYXt808+pFuvvmWSzAGwuC2ZniDpSGjoBvj85BcBndAjY+O74wf/CcKvKGA2dlszswOpbMaOHdt03bp1VZ988snGXbp0aQunTqe69rd11faeSG/5688/qZGD+uZuu23zRi7teTYA+/fuoU/75rzy7OOMuvQCPp31DvPnvM9XC+czclBfpk99oURxbfz7T6xBQXTvZRzvqmvHsnLFMrIyT22q6tLtPOrUMyZ1q1bdRmSr1rmzqJ1u2uS8goODcWZn4fF4vFMjh3Dk8CGWfrGA624peB6KErNY3FaPKyjDU8CMMJXXdZGx8beZHcTpBGxCj4yNtwGfYbSBCFGWagFzsdukg2UFmjVr1t4OHTqkx8XF7f3jjz82FzSd6ujRY1q53J4i7ypTkpNpFdWOuUtXcu3NExhx7Y0MHjqCeV//xG33lGyujkMH9tGw8X/dc6pUrUaVqtU4cvjQabfbsXUzf6//jfP6XuD9vfBpk/OKbNmabj37cvWlF7B/z25iho3kxSce5r5HniSorPJvkNUV7HFbMz0W+Rs/2dTI2PhuZgdRmIBN6MCrgHSCE+XlPKBkt3KiTOWfTnXo6BuDjyQcsiQcKrrvUlBwMDHDRpZ7jIU5fHA/94wbw6PP/Td+/OmmTc5v4qRHmff1T7w0fRa//PgDDRo1plHTZjx23x3cN/56ln35+ZkFaLW4lLK6K3uPuAKEAp9FxsbXMjuQggRkQo+Mjb8MuMHsOETAuwe7LaDmU/ZX6dmu8CMpWbkzq1itVtzu/564ys46+WnD8PBwLJbiff0lJyXlTpl6z83XnvJ+g0ZNOLj/vw6laakppKYkFzqZSsKhg4y/Zii33PUAF192Ze7y002bXJjUlGQ+ePt1Jtz/EHPenca55/Xmhbdm8varL5KZUfr+W9pq8bgDcx70stAMmGp2EAUJuIQeGRtfE5hhdhyi0piB3XZqQ6codznTqa799dfwvcczWnz1xWeqboNG1GvQiCbNIjm4f19ulXVOx7HCVKlajZTkgidnrG6z5U6ZOvXdOae8H312Z1xOJ7+u+QmAz+bM4oKBlxAadmpr35HDhxh/zZXcOOFuLh9xzUnvnW7a5MK8+twT3HrPJMLDI3KnRlZK4XI6cTqzT7vt6Sir0i6CPUWvWWldFxkbX/g0lyYJxA4Pr2PMbS1ERagDvAaMNjuQClEOz4uXVs50qmNvHBfl9niCqttq8NK091FKUa9BQ8bedhdjhgygdp169CnicbQLL7mMJZ/PZeSgvlx46ZAStaNbLBaefe1tnoq9l6ysLOrVb8Azr/43RfId14/g9vsfpn2nLrz18nMc3L+Pj2dO5+OZxjqjb7qNK0eNOe20yQX547dfyMzMpOf5/QG4+oabmTzxZt6f9iqXDRtFteq2Yp9DftqCdsoz6EV5OzI2vr0jLibF7EByFGv6VH8RGRs/FDjDxqPKKZTsrC1hY0PNjsOPXY49abHZQZQlf5g+NTnDWc1xLC3K7Dj8VWHTp+raYclp1irWg9nhPjPKXgVNn1pS0x1xMRPMDiJHwFS5R8bG1wGmF7miEOVjOnZb6W+JRIm5PB7L/sSMSLPjCETKoi2ZnqCAyQ/l6NbI2PgLzA4iRyD9h70J1DM7CFFpNQJeMjuIyuRQUmZjmXSlvLgtGZ5KN21qaSjgvcjY+FNqOcwQEAk9Mjb+KsC8Z1CEMNyM3eYzV+uBLNPpDj2R5qxrdhwBSSmPRXksmR5LIPaxKg8tgafMDgICIKFHxsaHAC+aHYcQXi9jt/ndbIT+5kBiRhONls+5PFitLqt8tCV1T2RsfBezg/D7hA7cAkSaHYQQXl2BMWYHEciSM5xVU7NcNcyOI2AFWV0oqzyyVjIW4FlfCMJvedstZOYr4WuewW6TIYfLgdaaQ0mZMgJkebIqj1PJM+ilcElkbHzfolcrP/7eRnIXUOwpEoWoIM2Au4HnzQ6krHX8oGO5zIe+4YYNxXq+/Vhadu1Ml9snOiAFLKvyOLX0cC+lZwHTkrrf/qdFxsbXAEo2i4IQFechGUGubLk92pKQ/N/wrqKcWCCTIGlEL50+Zo4g57cJHXgQqGl2EEIUwgY8YnYQgeRwcmZ9l8dTJo9SjRtxGd8tiy/xdm++9CzxC+cBMO1/cbxgf6jA9VauWMa4EZedUYwV6auVK+k8ZAgdY2IYMe7WiCOJ6QXOWOfxeHjusUnE9O7CZX3O4ZNZJ4+yveKrLxk+sBfDBvRk2ICe7PdODZtXcmIi40YOYfjAXidNPnP82FHGjbgMp9NZxmdX4Z6OjI035YLILxN6ZGx8fYwqTSF82XjsNnm0qgy43B7r8bTs+sVe31U+84rc8cDDxAwNrCdkU9PTuX3KFOa++iob4uNp1KCefvl/rxT4fH/85/PYuW0LX/64jo8Wf8sH019n+5ZNAGz6529ef+Fpps1ZwOff/szsL5ZTq86plVTxi+bRrVdfFqxYw64d29i2eSMALz35CHc/9DjBwX7/+Ps5wFVmHNgvEzrGnY/PDEkoRCEigHvNDiIQHE3NruvR2tqpaU3eeOFpRl5yPkPOPzf3bhmgU9OavPXyc4yOuZDX4p4gLTWFJybdzejLBnDVRb15cvI9OLP/m7Bk7eqVjI65kMv6nMNLTz5KzjDY+e/e77/1Br6Y9zEAj917O3PenXZKfE6nk2cevp8hfbsy+rIB/LZmVZHndOTwIW4dPYyhF57HraOHMen2m5j2vzgABp4bTcKhgwA8OOFGrr/yYsCYNe78jmeRnZXFF/M+Zvw1VzL5jnEMH9iLawb3Z99uRwk/WVj+00+c3a4dbc46C4BbbxrtjP9iYYG54evFnzPsmuuxWq3YatZk0JChLPtiAQAfzniD6265nXoNjKk0qlStRnj4qd0dgoKCycxIx+Px4MzOIjgkhNXfr6C6rQZnn+OzU42X1JORsfEF1nKUJ79L6JGx8c2AW82OQ4hiugO7rbrZQfgzj9bqeFr2f6NAKsW8ZT8ybfZnxD02+aRqXYvVysfx33Hfo0/x8lOPcU73nny85FvmL1+Fx+Pho5n/jQ69c9sWPlj0NfO/WcX6X1azdNFnpY5xwUezcOzczuff/swHny9l0z9/FbnN84/H0qlrNxZ+9wvPTJ3Gul9W577Xo8/5rF21Eo/Hw5aN/5CSYkzJ+sdvv9CuY2dCQo1pF/7963funDyFBSvW0KPvBcycNrXEse89dIhmDf+bz6p5ZDPP0YRDBdZyHNy/j0ZN/nvIoFGTZhw8sA8wPs9D+/dx01UxjLzkfN548ZmTprDNETNsJHsduxh1yfn06NOPeg0a8s7rL3PnpIB6YKktJjy+6ncJHbgDkOEehb+ojjFWgiilY6nZtfO2nQ+75joAmjSPpGuPXvy+dk3uukP/396dh8lR1msf/1Zlsk6ShpCdkDRLMOyQQBI0LIKQYLOHE3BBED3K8voii9qKYoEgjb4ecAniCrigAipy6IPoUbYgayBsWYhJKhsJWacmyUxm7fePmoQAWSfd/avl/lzXXAnMTNU9MNV3V9VTz3P+O6+h/3y0yN13/oApE4/j/EnH89Lzz7DIn7/582dMvoCuXbvSs2cvcudO4dlpT3Q643NPPxlur1s3unbrxtnn7/i1/LlpT2z+uv4DB3H8yRM3f278hBN5dtrjzH79VT5w8KGM/eBxvPjMNJ6d9jjjJhy/+esOHz2WYcNHAHDE6LGdOkN/ly5dWlw6d/u3rbWV2W+8yh2/foC7//QIr0x/nvt+/Yv3fV2vXrV87yf3cP/fpnH5NV9l6ndu5tOXX8kifwHXXnox1156MXNmvrZ7P0c0fKHaO4xVoWfzxa7ARdY5RHbRlXiZuD8iamb1hqbt3zvfon969ur9zj+USnzvp7/avJb5Q0+8wPWF27e9GSfcUJeaGtrb3zmzbGra9YXmNm2rs98zbsIJPDftSZ556jHGTTiho+Cf4LmnnmDch96ZXbh793cWSHS7uLRt5ax63puzmTLxOKZMPI5vX3ft+z6/z+DBLFoWXt6npkvb/IVL3f4DB1NT8/5f2SF7D+OtJYs3//NbSxYxZOgwAAbvPYyTTzuTHj170qtXLSdPOp1XX3pxuz/zay9PZ83qlZzwkUncev1XuOq6G/ni127g1uvz2/2+mDg6my9W5DHPbYnbi8wZwE4PjBGJiH2AycAfrIPsrp19Xrxc6htb+jS3tr9rkp6/3Hcvl12dZ+niRbz0/DN8ybtlq9/74Yk57rrj+3yjcBs1NTXU19VRt3YNw/cN7xUX/3wfp519Hm2trfzPgw9w4WfDVTD3ye7Lay+/yEc+eiZLFi1kxgvPcspHz9puzvETTti8PUqlzffct2fsh47noft/x6VXfYXVK1fw5D8e5bxPXAzAwMFD6NO3Lw/85i5+9vuH2KNfP75749doWL+egw47Yofb3tL+B47ivkef2ubnT5kwgau+/W3mzJ/PqEMPbvvxL3/bbdKZ5279a3Nn86ff/YpTTz+b9fX1PPrff+aHd/0egI+edR6P//0Rzprycdrb23nmycc4auz4be63paWF22/x+M7U8Cy+sbEBxwnf2DQ0bNilnzHCLqWKV+jiVui6dClx9RkSUOjVtmp90/tWUGxra2PKpONpbGjgKzcW2Huf4Vv93i9982Zuv+UGpkw8Dtd16VJTw1Vfu2Fzoe97wIFcdM4k6uvWcuKpH2XSWZMB+PSlV/Llyy9h8kc+yP4HjuLQI4/eYc5zP34R/54zi3NPGk+fzB6MHnsss16bsd3v+bJ3C9+4+nLOOWk8AwYN5rAjx9Cn7zsr8I6bcAJP/uNRho3IAtB/wED6H3I4rlveC6t9amuZ6nmcf+WVtLS39Ro5alT79bfdtPnzUyYex4/uuY+Bg4dw+uTzeeOVlzjj+DE4OFz4n1cw8qBDAJh01mRmvf4q5558LK7rMnrssXzikku3ud977vwBZ0y+gL0GhP+LL7/mq1xx0fkAXH3dDWX9GQ19LJsvXuMXcvXV2JmzaWRn1HUMhltAzG4TxEV3mpvm9Li4+46/UjqpHdgXL3j/g7kRNX369FE1NTV/HTly5PpevXrt+nXn3dTU2tbtzeXrDtvyFeqIffbkqdd9+iZg6fmNjY3UdO1KTU0NdWvXcOGZp3DzD37C4Uft+A1EuexFc0O/uhWbh6I7mZ71y7tmute31kTutaDU2syKt5bgPbaCpeveP9guwv6PX8hNrcaO4nSGfgkqc4kvl3D8RySWWYyD1eub+8fjdKNzFvnz+PoXL6NUKtHS0sKUT32mqmW+NY4LjW1d4tQLcfB5QIW+STZfdAkLXSTOLsbL3IQXJLmnyqa+saXfe//dK4vXWkTptKf++Td+eOv738NdcsVVTDrz3O3e27ZQcqGlzan689MJd1g2X/yQX8g9veMv3T2xKHRgEuHAIpE42w84AXjcOMfOagdKpVL1F8duaG7t2dzWHrnLvrvquJNO5biTTrWOsdPaXQeiejW7VAJKtMfz7fClgAq9gwbDSVJ8mvgU+lvt7e3BihUrBg0cOHCN4zhVeyldub5pQKk19nN6R14rLU5T+zsrpba1tbul1ubtfIeRUonWhnrWbWxjbWMsV3adnM0XP+8Xcg2V3EnkB8Vl88X+wDLi8+YjljQormrqgAF4QWUmGy+z6dOnj3dd907XdTPQyRlHOmF1Y9vQtnZiP6l31NWWWpp7b1wfTtTlOO2tvbs1r27t1WMH32agxLqNbfz4xTrmrontG73JfiH3p0ruIA4leRrxyCmyM/YgXC/5MeMcO2XMmDHPTp8+fUJ7e/tQqjQo9YFZ60c+ubDxoWrsK+0mrJg551OvPnwYQGu3Lotnn3LwiqlNp0VuQvX2EqxtbGdjW7RPQHfgbCD1hZ6zDiBSZmcQk0IHGDNmzHrgzWrtb/L9xY9Va19pt3pF/Ua3Y5Y4t2f7ipfWHsXSrcy/LmVxejZfrPELuYpdnYv0Y2DZfLEGmLjDLxSJlzOsA0Tcf1gHSKUe7Q2z2ofvaR0jwfYkHBRbMZEudOCDhJcoRZLkALzMKOsQUZTNFw8BDrLOkUZu77bmBaUtll2TSjitkhuPeqFX9IcXMaSz9K3TMW+kubZLSwM9aq1zJNykSm486oV+knUAkQqp6IEdYx+yDpBW9b17xeLJi5g7JJsvDqvUxiNb6Nl8sQ8w2jqHSIWMxctoRq73O9Y6QFqt6tPXOkJaVOzNfGQLnfDRnjiMwhfpjN7A4dYhoiSbL+6Plkc283afPfTcf3V8sFIbjnKhn2gdQKTCKnZgx5QutxspQdPa7v17WudIiTGV2nCUC/046wAiFabLy++mNzhGSm7p7eVtQ3tb50iJg7P5YkVm5YxyoR9sHUCkwlRg76YzdCs1pTVvlobtZR0jJWqo0O22SBZ6Nl8cCmiEhiTdvngZ3TMGsvliBr2JN+N0L61fUBoy1DpHilRkwHckCx1NLCHpcah1gIgYT3RfjxKvqWdNQzNdtThT9ajQRRLoA9YBIkIj/g3V1dZGcM3UREtVoWtaTEkLFXpoX+sAabaqNhPLRcZj7LCOtUrKKqqFrjN0SQsVekiFbmhp370050d1dQcOKfdGo1roOkOXtFChh1Tohhb3HtjDOkMK7V/uDUau0LP5Yl9Aoy0lLYbjZVL9YprNFx0ga50jrUrQ/lbtQD1VVH1lX9kucoWOzs4lXVxgP+sQxoYQXoIUE6VVyxmixyerLxWFfqB1AJEqG2gdwFjWOkCq1bBqUWmg1kGvvlQUej/rACJV1t86gDHdPzfU1LUmaKOLBsVVXyoKvY91AJEqG2AdwJgK3VB9j9oN1hlSKhWFrgUCJG3SXui63GtoZW2m1TpDSpV98HcUC11n6JI2ab/krmPe0JLeAxzrDCk1oNyTy0Sx0HWGLmmT9jN0HfOGFvYenOrHJg05QFmfLohioevduqRN2n/nVeiGFvYelLHOkGJlPfajWOg6uCVtulgHMKZj3kjJcVhcOyjtV4gslfV2RxQLPe1nK5I+UTwOq0mTyhhp6lrDqq79NCgxIaL4QqJ365I2UTwOq0nPQBtZ3GdgvxJu2n//EiOKB5IKvUr2YN3a0e7cxePcWXXHuHMAjrfOlFJpv+QexdehVHir5wCtm2GrrJfco3gg6ZnIMqulcd2R7rxFY91Za45x5rSPdJf26Uf93l2c0iBgT+t8ojN06wBp1dKla0/rDFI+UTyQ6qwDxFV3mjce6izwx7uzVh/tzmkZ5S6qHUAwpAvteztO+dfelbJJe6GXrAOIJEEUCz2wDhB1NbS2jHIWLRznzl451p3ddLCzsOcgZ83grrTt4zharS6GGq0DGNMxL2mV+EvuOrg7uLS3HeAsXXSMO2fFOHfWxkOdBd2GOqsHdqdluONwAHCAdUYpizrrAMbWWgcQSYIoFnqddYDqK5VGOG8vPcads2ycM6vhcHd+zT7Oyv49aRrhOOyLFq9IujrrAMbqrAOIGGku58aiWOiJPkMfwurlY9w33xrvzlx3pDvPHeG83a83jSMch2HAMOt8YqLOOoAxnaFLWq0q58aiWOh11gHKoR/B6jHhI2H1o9257Ocs26MvG4a7DoOBwdb5JFIS/SZ2J9RZBxAx0EqZf/ejWOixenHrw4bgSHfeovHurLqj3TmlA5ylffZk/T6uU+oP7GWdT2KhzjqAMZ2hSxqt8Qu5sj7hoULfST1pajjcmeePc2evOdqd0/YBd3HvvagfWuO0DwEOs84nsbbGOoAxFbqk0cpybzCKhV5nufNutDQd7CxcODZ8JKz1IHdhz4HUDa4JHwk72DKbJNZi6wDG6qwDiBh4q9wbjGKhL6/GTrrQ1nqgs2TRMe7st8e5s5sPdRZ0H+ysGdiN1uGOw4HAgdXIIQIstA5grKwDg0RiYkm5NxjFQn+zvJsrlfZzli0+xp29fJw7u+FwZ363vZ1V/XvQPMJx2A/Yr7z7E9klLVTgnXrMlPmYF4mFsl+Zc0ql6M26mM0XVwC7vEbvMGflsqOdOUvHubM2HOHOqxnurOhXy8YRjkOvCsQUKYe5eEHqrwZl88UA6GudQ6SKPucXcj8r5wajeIYOMIftFPpA1q4c7c5dMt6due4o99/Ovs7yPfvQsI/jMATQ2r4SJ3OtA0TELGCcdQiRKlpQ7g1GudAnZFhfN9qdu2i8OysY7b5Z2t95K7MHG4a5TmkAnTiDF4kgFXpoJip0SZcZ5d5gJAv94W5fe/EgZ+HpHct77mGdR6SCZloHiIhZ1gFEqmiJX8iVfTBoJAv9UNefBwyyziFSBS9YB4gIvbGRNHmpEhuN6jrMr1gHEKmCjcBr1iEiQmfokiYpKnQvWAEss44hUmEz8IJW6xAR4aN14SU9Xq7ERqNZ6KFp1gFEKkyX2zv4hVw7uuwu6ZGiM/TQE9YBRCpMhf5uOuYlDVb6hVzZZ4mDaBf6k9YBRCpMhf5u/7AOIFIFFbncDtEu9NeB1dYhRCpkGV4w2zpExDxBOBWuSJI9X6kNR7fQvaAEPGUdQ6RC/modIGr8Qm4D8Jx1DpEKe6RSG45uoYd0T02SSoW+dbrsLkm2Cni2UhuPeqH/zTqASAW0AX+3DhFR/2sdQKSCHul4oqMiol3oXjCTcF53kSR5Di9Yax0iop4DNliHEKmQYiU3Hu1CD/3JOoBImely+zb4hVwLesJFkqmVCh/7KnSR6vtv6wAR96h1AJEKmOYXckEldxD9QveCF4FF1jFEymQmXjDDOkTE3Q9U7D6jiJGKXm6HOBR6SGfpkhS/sQ4QdX4h9xZ6wkWS5+FK7yAuhX6/dQCRMigBv7UOERP3WgcQKaM3/EKu4hNJxaPQveBfaHlFib8n8QLdPto5fwSarUOIlMlPqrGTeBR66KfWAUR2ky637yS/kFsL/MU6h0gZNAC/qsaO4lTo9wAbrUOIdFIjunW0q35hHUCkDP5Q6dHtm8Sn0MOJOPSCKHH1a7ygKgd1gvwdPeEi8VeVy+0Qp0IPVe0/jEgZlYDbrUPETccUmXdb5xDZDTP8Qq5qCw7Fq9C94GnCZVVF4uSveIEGdXbOT9HgOImvqp6ExqvQQ9+1DiCyi26zDhBXfiG3FJ2lSzytp8qPqcax0O8F5luHENlJr+EFWllt9xQI58EWiZN7/UJuXTV3GL9C94JWwgNcJA5utw4Qd34htwD4nXUOkV3QhsHV5PgVeugeYLF1CJEd+DdVev40Bb6N5neX+PiNX8j9u9o7jWehe0Ezupcu0Xd9xxUl2U0d02ZqTQeJgzbgJosdx7PQQz8DlluHENmGGcDvrUMkzM3WAUR2gsnZOcS50L1gI/AN6xgi23AdXlCyDpEkfiE3gyosQSmyG5qAb1rtPL6FHvol8JJ1CJH3eBIv+B/rEAn1TXQvXaLrDr+QW2i183gXuhe0A1daxxB5j69aB0gqv5CbDvzcOofIVgQY3xaKd6EDeME04D7rGCId7ulY7lcq56vAKusQIu9xq1/IrbYMEP9CD32JcDUrEUurgWutQySdX8itAb5inUNkC7OA/7IOkYxC94JFwK3WMST1rsULdOZYHXcBuhIiUdAOfNYv5JqsgySj0EO3AK9ah5DUehwvuNs6RFr4hVwJuIzwmV8RS1P9Qi4Sby6TU+jhZDOfAlqso0jqNAGXWodIG7+QexX4oXUOSTWfCA2CTU6hA3jBK8CN1jEkdb6FF8yxDpFS3wSWWYeQ1PqcX8htsA6xSbIKPVQAXrQOIanxBOHtHjHgF3L16OqI2LjbL+QitZJi8go9nDv7IsLLoCKVtBr4RMd8CGLEL+QeQqvaSXUtB662DvFeySt0AC+YCVxjHUMS7xK8YKl1CAHCx9hesA4hqXGZX8ittQ7xXsksdAAvmAr8xjqGJNaP8IKHrENIyC/kmoHzgTrjKJJ83/ULuQetQ2xNcgs99Hn0KJuU3ytoApnI8Qu5BcAl1jkk0f6XCI1qf69kF7oXNADnonftUj6rgXPwAo3RiCC/kPszepRNKsMHLvALucjOfZDsQgfwgnnAJwEtZSm7qxU4Dy9YYB1EtutaYLp1CEmURuAc67nadyT5hQ7gBUUM16iVxPgCXvC4dQjZvo776VOANdZZJDE+5xdyM6xD7Eg6Ch3AC75FuH66SGf8P7zgTusQsnP8Qm4+cBZ6fFV23/f9Qi4WA6zTU+ihzwOPWIeQ2Pkj8GXrELJr/EJuGrrdJrvncWI0ADZdhR5OOvMfwLPWUSQ2/gF8Ei9QKcSQX8g9gOakkM55ATjLL+RarYPsrHQVOoAXbABywOvWUSTyngDOxAs2WgeRzvMLudvQ8sqya14BJnZMLRwbTqmU0hMPLzOE8AV7pHUUiaR/ARPxgvXWQaQ8svninYS33US2ZyZwol/IrbQOsqvSd4a+iRcsA44H3rCOIpHzPHCayjxxLgd+Zx1CIm0ucHIcyxzSfIa+iZfZC/gbMNo6ikTCy8BJeEGddRApv2y+WENY6udZZ5HI8YHj/UJusXWQzkrvGfomXrAaOInwEquk22PAh1XmydUxwOl84MfWWSRSlgAnxbnMQWfo7/AytcBDhOUu6fN74CK8oNk6iFRHNl+8HrjBOoeY84FT/UJurnWQ3aUz9E3eGf2ue2zp81/Ax1Xm6eIXcjcClwJazz69pgPHJqHMQWfoW+dlrgO+BTjWUaSiSsA1eMFt1kHETjZfPBe4F+hunUWq6hFgil/IJWbwqwp9W7zM2YTrqdcaJ5HKWAd8Gi/4o3UQsZfNF08A/gJkrLNIVfwUuCJOk8bsDBX69niZIwjvqw+3jiJl9QYwGS+YYx1EoiObLx5OeLyPsM4iFdMKXOUXcj+yDlIJuoe+PV7wCnAM8E/rKFI29wLjVObyXn4h9ypwFOGZuiTPWuC0pJY56Ax953gZl3CC/puArsZppHOagavwgjusg0j0ZfPFK4HvAN2ss0hZvARckJTBb9uiQt8VXuZo4LfAgdZRZJe8CVyIFzxvHUTiI5svHg38AdjPOot0WhtQAG7wC7kW6zCVpkLfVeHz6t8HPmMdRXaoHbgd+Dpe0GicRWIomy9mgJ+jmeXiaD5woV/IpWbSMBV6Z3mZc4AfAntbR5GtmkM4iv0Z6yASf9l88XLC+Qr0aFs8/BL4ol/IrbMOUk0q9N3hZfoQzjT1f4Euxmkk1Eb4wnu9lj2Vcsrmi6OAqWg2yShbBfynX8g9aB3Eggq9HMLH234MHGsdJeWeIhz4Nt06iCRXNl+8gPBN4xDrLPIuDwKX+YXccusgVlTo5eJlHOCzhAMw+hmnSZv5wJc1SYxUSzZf3HR17gtAjXGctHsFuNov5FL/eLEKvdy8TAa4Bvgi0Mc2TOLVAzcD38cLmqzDSPp0TEYzFZhgnSWFlgNfB+7yCznNx48KvXK8TH8gD1wB9DBOkzSNhCOPb8ILVliHkXTL5osO8CngVmCQcZw02Eh4y+OWJM3DXg4q9ErzMkMJ30V+Fk1Ks7vqgTuA21TkEjXZfLEXcBnwJVTslVAiXOY47xdyi6zDRJEKvVq8zN7A5cDngP7GaeJmJeHz5FPxgsA4i8h2qdjLrgW4D/ieX8i9bB0mylTo1eZlegCfIHzU7XDjNFE3g3BVpLs1MYzETTZf7AFcRDimZqRxnDhaC/wE+JFfyC21DhMHKnRLXuZEwnvsZ6AJKzapJ1xA5ed6/EySIJsvusA5hMWuR1t3bC7hFbl7/EJug3GWWFGhR0E4Mv5c4OPAh0nfJDUl4GngF8B9eEGDcR6Risjmix8gHED3SbQs83s9BtwGPOwXciqmTlChR42XGQScD3wMGAc4toEqpo1wIpg/An/GC3RJTVKjY2T8iYTlPpn0PuL6BuEVuXv9Qs43zhJ7KvQoC8t9InAacAqwl22g3bYK+DvwMPAIXrDWOI+IuY5BdOcQlvvJJP8K3RuEs7rd17EGvZSJCj0uwpnojiA84E8AxgBDTTPt2HxgGuGZ+DS8YLZxHpFI61jd7UTC4/xk4GDTQOXRDDwPPAQ8mPQ1yS2p0OMsPIMfA4ze4k+L+3LNhGuOz+r4eA14Gi9YZpBFJDGy+eIQwsVgNhV8HO67rwL+RTgu5mngRb+Q00yOVaBCTxov0wsYAWQ7Pjb9fTiwJ9C346OWnbs/30r4HPjbW3ysIJx2cS5hgc/HC9rK90OIyNZk88UDgLHAQVt8jMRu0qpGYB7wHB0F7hdybxplST0VelqFl/D7dHz0JByk1tLx0brFn414gX5JRCIqmy/WAPsTXp7fVPJZYADhJFb96Pzg2jZgMbCg42P+Fn9fkOaVzaJIhS4ikmDZfLELYan3BXpv8dENaCI8y964rT+18El8qNBFREQSwLUOICIiIrtPhS4iIpIAKnQREZEEUKGLiIgkgApdREQkAVToIiIiCaBCFxERSQAVuoiISAKo0EVERBJAhS4iIpIAKnQREZEEUKGLiIgkgApdREQkAVToIiIiCaBCFxERSQAVuoiISAL8f+8mQ7xnnvWdAAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 600x600 with 4 Axes>"
       ]
@@ -634,9 +634,95 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 102,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "        <script type=\"text/javascript\">\n",
+       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
+       "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
+       "        if (typeof require !== 'undefined') {\n",
+       "        require.undef(\"plotly\");\n",
+       "        define('plotly', function(require, exports, module) {\n",
+       "            /**\n",
+       "* plotly.js v2.6.3\n",
+       "* Copyright 2012-2021, Plotly, Inc.\n",
+       "* All rights reserved.\n",
+       "* Licensed under the MIT license\n",
+       "*/\n",
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+       "/*!\n",
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r=L(8/(3*y)),i=e/r;return[t/(r*(1-n(i)/y)),i]},gt.invert=function(t,e){var r=2-n(e)/L(2*y/3);return[t*L(6*y)/(2*r),d(e)*S((4-r*r)/3)]},mt.invert=function(t,e){var r=L(y*(4+y))/2;return[t*r/(1+L(1-e*e*(4+y)/(4*y))),e*r/2]},vt.invert=function(t,e){var r=e*L((4+y)/y)/2,n=S(r),i=o(n);return[t/(2/L(y*(4+y))*(1+i)),S((n+r*(i+2))/(2+x))]},yt.invert=function(t,e){var r=L(2+y),n=e*r/2;return[r*t/(1+o(n)),n]},xt.invert=function(t,e){var r=1+x,n=L(r/2);return[2*t*n/(1+o(e*=n)),S((e+g(e))/r)]};var bt=3+2*w;function _t(t,e){var r=g(t/=2),n=o(t),a=L(o(e)),s=o(e/=2),l=g(e)/(s+w*n*a),u=L(2/(1+l*l)),f=L((w*s+(n+r)*a)/(w*s+(n-r)*a));return[bt*(u*(f-1/f)-2*c(f)),bt*(u*l*(f+1/f)-2*i(l))]}_t.invert=function(t,e){if(!(r=D.invert(t/1.2,1.065*e)))return null;var r,a=r[0],s=r[1],l=20;t/=bt,e/=bt;do{var 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a=V(s,i);return[r/n*(t+e/o(a)),a]},a}function Mt(t){return[t[0]/2,S(m(t[1]/2*M))*A]}function St(t){return[2*t[0],2*i(g(t[1]*M))*A]}function Et(t,r){var i=2*y/r,s=t*t;function l(r,l){var c=e.geoAzimuthalEquidistantRaw(r,l),u=c[0],f=c[1],h=u*u+f*f;if(h>s){var d=L(h),m=a(f,u),b=i*p(m/i),_=m-b,w=t*o(_),T=(t*g(_)-_*g(w))/(x-w),k=Lt(_,T),A=(y-t)/Ct(k,w,y);u=d;var M,S=50;do{u-=M=(t+Ct(k,w,u)*A-d)/(k(u)*A)}while(n(M)>v&&--S>0);f=_*g(u),u<x&&(f-=T*(u-x));var E=g(b),C=o(b);c[0]=u*C-f*E,c[1]=u*E+f*C}return c}return l.invert=function(r,l){var c=r*r+l*l;if(c>s){var u=L(c),f=a(l,r),h=i*p(f/i),d=f-h;r=u*o(d),l=u*g(d);for(var m=r-x,v=g(r),b=l/v,_=r<x?1/0:0,w=10;;){var T=t*g(b),k=t*o(b),A=g(k),M=x-k,S=(T-b*A)/M,E=Lt(b,S);if(n(_)<1e-12||!--w)break;b-=_=(b*v-S*m-l)/(v-2*m*(M*(k+b*T*o(k)-A)-T*(T-b*A))/(M*M))}r=(u=t+Ct(E,k,r)*(y-t)/Ct(E,k,y))*o(f=h+b),l=u*g(f)}return e.geoAzimuthalEquidistantRaw.invert(r,l)},l}function Lt(t,e){return function(r){var n=t*o(r);return r<x&&(n-=e),L(1+n*n)}}function 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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);m(t.kerning,g(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,O=0;I<this.counts.length;I++){for(var z=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(O),N=this.text.charAt(O-1);if(C[O]=R.ids[B],P[2*O]=D.width[B],F){var j=P[2*O-2],U=P[2*O],V=P[2*O-1]+.5*j+.5*U;if(this.kerning){var H=D.kerning[N+B];H&&(V+=.001*H)}P[2*O+1]=V}else P[2*O+1]=.5*P[2*O];O++}this.textWidth.push(P.length?.5*P[2*O-2]+P[2*O-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+=\"number\"==typeof t?t-n.baseline:-n[t],i*=-1}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var q;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;q=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)q.set(l(Y(W,W+4),\"uint8\"),W)}else{var X=t.color.length;q=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)q.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=q}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{\"bit-twiddle\":81,\"color-normalize\":89,\"css-font\":99,\"detect-kerning\":125,\"es6-weak-map\":183,\"flatten-vertex-data\":191,\"font-atlas\":192,\"font-measure\":193,\"gl-util/context\":226,\"is-plain-obj\":236,\"object-assign\":247,\"parse-rect\":249,\"parse-unit\":251,\"pick-by-alias\":253,regl:283,\"to-px\":314,\"typedarray-pool\":327}],226:[function(t,e,r){(function(r){(function(){\"use strict\";var n=t(\"pick-by-alias\");function i(t){if(t.container)if(t.container==document.body)document.body.style.width||(t.canvas.width=t.width||t.pixelRatio*r.innerWidth),document.body.style.height||(t.canvas.height=t.height||t.pixelRatio*r.innerHeight);else{var 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r=e.parse(t[1],1,Bt);if(!r)return null;var n=[],i=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(i=e.expectedType);for(var a=1;a<t.length;a+=2){var o=1===a?-1/0:t[a],s=t[a+1],l=a,c=a+1;if(\"number\"!=typeof o)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,i);if(!u)return null;i=i||u.type,n.push([o,u])}return new He(i,r,n)},He.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var i=e.length;return n>=e[i-1]?r[i-1].evaluate(t):r[Ve(e,n)].evaluate(t)},He.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},He.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},He.prototype.serialize=function(){for(var t=[\"step\",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var Ge=Object.freeze({__proto__:null,number:qe,color:function(t,e,r){return new te(qe(t.r,e.r,r),qe(t.g,e.g,r),qe(t.b,e.b,r),qe(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return qe(t,e[n],r)}))}}),Ye=6/29,We=3*Ye*Ye,Xe=Math.PI/180,Ze=180/Math.PI;function Je(t){return t>.008856451679035631?Math.pow(t,1/3):t/We+4/29}function Ke(t){return t>Ye?t*t*t:We*(t-4/29)}function Qe(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function $e(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function tr(t){var e=$e(t.r),r=$e(t.g),n=$e(t.b),i=Je((.4124564*e+.3575761*r+.1804375*n)/.95047),a=Je((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*a-16,a:500*(i-a),b:200*(a-Je((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function er(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*Ke(e),r=.95047*Ke(r),n=1.08883*Ke(n),new te(Qe(3.2404542*r-1.5371385*e-.4985314*n),Qe(-.969266*r+1.8760108*e+.041556*n),Qe(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function rr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var nr={forward:tr,reverse:er,interpolate:function(t,e,r){return{l:qe(t.l,e.l,r),a:qe(t.a,e.a,r),b:qe(t.b,e.b,r),alpha:qe(t.alpha,e.alpha,r)}}},ir={forward:function(t){var e=tr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*Ze;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*Xe,r=t.c;return er({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:rr(t.h,e.h,r),c:qe(t.c,e.c,r),l:qe(t.l,e.l,r),alpha:qe(t.alpha,e.alpha,r)}}},ar=Object.freeze({__proto__:null,lab:nr,hcl:ir}),or=function(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var a=0,o=i;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1];this.labels.push(l),this.outputs.push(c)}};function sr(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}or.interpolationFactor=function(t,e,n,i){var a=0;if(\"exponential\"===t.name)a=sr(e,t.base,n,i);else if(\"linear\"===t.name)a=sr(e,1,n,i);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;a=new r(o[0],o[1],o[2],o[3]).solve(sr(e,1,n,i))}return a},or.parse=function(t,e){var r=t[0],n=t[1],i=t[2],a=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error(\"Expected an interpolation type expression.\",1);if(\"linear\"===n[0])n={name:\"linear\"};else if(\"exponential\"===n[0]){var o=n[1];if(\"number\"!=typeof o)return e.error(\"Exponential interpolation requires a numeric base.\",1,1);n={name:\"exponential\",base:o}}else{if(\"cubic-bezier\"!==n[0])return e.error(\"Unknown interpolation type \"+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return\"number\"!=typeof t||t<0||t>1})))return e.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.\",1);n={name:\"cubic-bezier\",controlPoints:s}}if(t.length-1<4)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");if(!(i=e.parse(i,2,Bt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Ut:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<a.length;u+=2){var f=a[u],h=a[u+1],p=u+3,d=u+4;if(\"number\"!=typeof f)return e.error('Input/output pairs for 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a=Ve(e,n),o=e[a],s=e[a+1],l=or.interpolationFactor(this.interpolation,n,o,s),c=r[a].evaluate(t),u=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Ge[this.type.kind.toLowerCase()](c,u,l):\"interpolate-hcl\"===this.operator?ir.reverse(ir.interpolate(ir.forward(c),ir.forward(u),l)):nr.reverse(nr.interpolate(nr.forward(c),nr.forward(u),l))},or.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},or.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},or.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var lr=function(t,e){this.type=t,this.args=e};lr.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var c=n&&i.some((function(t){return Jt(n,t.type)}));return new lr(c?Ht:r,i)},lr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length;i+=1){if(n++,(r=a[i].evaluate(t))&&r instanceof ie&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null!==r)break}return r},lr.prototype.eachChild=function(t){this.args.forEach(t)},lr.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},lr.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var cr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};cr.prototype.evaluate=function(t){return this.result.evaluate(t)},cr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1){t(r[e][1])}t(this.result)},cr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new cr(r,o):null},cr.prototype.outputDefined=function(){return this.result.outputDefined()},cr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var ur=function(t,e,r){this.type=t,this.index=e,this.input=r};ur.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Bt),n=e.parse(t[2],2,Wt(e.expectedType||Ht));if(!r||!n)return null;var i=n.type;return new ur(i.itemType,r,n)},ur.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new ue(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new ue(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new ue(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},ur.prototype.eachChild=function(t){t(this.index),t(this.input)},ur.prototype.outputDefined=function(){return!1},ur.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var fr=function(t,e){this.type=jt,this.needle=t,this.haystack=e};fr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);return r&&n?Kt(r.type,[jt,Nt,Bt,Ft,Ht])?new fr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\"):null},fr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");return r.indexOf(e)>=0},fr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},fr.prototype.outputDefined=function(){return!0},fr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var hr=function(t,e,r){this.type=Bt,this.needle=t,this.haystack=e,this.fromIndex=r};hr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);if(!r||!n)return null;if(!Kt(r.type,[jt,Nt,Bt,Ft,Ht]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Bt);return i?new hr(r,n,i):null}return new hr(r,n)},hr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},hr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},hr.prototype.outputDefined=function(){return!1},hr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var pr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};pr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of 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g?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new pr(r,n,d,i,a,g):null},pr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(se(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},pr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},pr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},pr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},i=0,a=Object.keys(this.cases).sort();i<a.length;i+=1){var o=a[i];void 0===(f=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[f][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],f=u[0],h=u[1];1===h.length?e.push(s(h[0])):e.push(h.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var dr=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};dr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=0)return e.error(\"Expected an odd number of arguments.\");var r;e.expectedType&&\"value\"!==e.expectedType.kind&&(r=e.expectedType);for(var n=[],i=1;i<t.length-1;i+=2){var a=e.parse(t[i],i,jt);if(!a)return null;var o=e.parse(t[i+1],i+1,r);if(!o)return null;n.push([a,o]),r=r||o.type}var s=e.parse(t[t.length-1],t.length-1,r);return s?new dr(r,n,s):null},dr.prototype.evaluate=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];if(i.evaluate(t))return a.evaluate(t)}return this.otherwise.evaluate(t)},dr.prototype.eachChild=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t(i),t(a)}t(this.otherwise)},dr.prototype.outputDefined=function(){return this.branches.every((function(t){t[0];return 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or?a.interpolation:void 0;return Ir(new Zr(n?\"camera\":\"composite\",t.value,a.labels,o))}Zr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Zr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},Zr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?or.interpolationFactor(this.interpolationType,t,e,r):0};var Kr=function(t,e){this._parameters=t,this._specification=e,It(this,function t(e,r){var n,i,a,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||void 0!==e.property,c=s||!l,u=e.type||(Rr(r)?\"exponential\":\"interval\");if(o&&((e=It({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],te.parse(t[1])]}))),e.default?e.default=te.parse(e.default):e.default=te.parse(r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!ar[e.colorSpace])throw new Error(\"Unknown color space: 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n&&r<n.minimum?[new Ct(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Ct(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function en(t){var e,r,n,i=t.valueSpec,a=Ot(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,c=\"array\"===Fr(t.value.stops)&&\"array\"===Fr(t.value.stops[0])&&\"object\"===Fr(t.value.stops[0][0]),u=Qr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Ct(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;e=e.concat($r({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Fr(r)&&0===r.length&&e.push(new Ct(t.key,r,\"array must have at least one stop\"));return e},default:function(t){return kn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&u.push(new Ct(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||u.push(new Ct(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Rr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!zr(t.valueSpec)?u.push(new Ct(t.key,t.value,\"property functions not supported\")):s&&!Dr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!c||void 0!==t.value.property||u.push(new Ct(t.key,t.value,'\"property\" property is required')),u;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Fr(a))return[new Ct(s,a,\"array expected, \"+Fr(a)+\" found\")];if(2!==a.length)return[new Ct(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(c){if(\"object\"!==Fr(a[0]))return[new Ct(s,a,\"object expected, \"+Fr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Ct(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Ct(s,a,\"object stop key must have value\")];if(n&&n>Ot(a[0].zoom))return[new Ct(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ot(a[0].zoom)!==n&&(n=Ot(a[0].zoom),r=void 0,o={}),e=e.concat(Qr({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:tn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return Yr(zt(a[1]))?e.concat([new Ct(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(kn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Fr(t.value),l=Ot(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Ct(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Ct(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return zr(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Ct(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Ct(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Ct(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Ct(t.key,c,\"integer expected, found \"+l)]}}function rn(t){var e=(\"property\"===t.expressionContext?Jr:Wr)(zt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Ct(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Ct(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ne(r,[\"zoom\",\"feature-state\"]))return[new Ct(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Fe(r))return[new Ct(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function nn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ot(r))&&i.push(new Ct(e,r,\"expected one of [\"+n.values.join(\", \")+\"], 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on={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function sn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};an(t)||(t=cn(t));var e=Wr(t,on);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function ln(t,e){return t<e?-1:t>e?1:0}function cn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?un(t[1],t[2],\"==\"):\"!=\"===r?pn(un(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?un(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(cn))):\"all\"===r?[\"all\"].concat(t.slice(1).map(cn)):\"none\"===r?[\"all\"].concat(t.slice(1).map(cn).map(pn)):\"in\"===r?fn(t[1],t.slice(2)):\"!in\"===r?pn(fn(t[1],t.slice(2))):\"has\"===r?hn(t[1]):\"!has\"===r?pn(hn(t[1])):\"within\"!==r||t}function un(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function fn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(ln)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function hn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function pn(t){return[\"!\",t]}function dn(t){return an(zt(t.value))?rn(It({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==Fr(r))return[new Ct(n,r,\"array expected, \"+Fr(r)+\" found\")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new Ct(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat(nn({key:n+\"[0]\",value:r[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Ot(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Ot(r[1])&&o.push(new Ct(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new Ct(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(i=Fr(r[1]))&&o.push(new Ct(n+\"[1]\",r[1],\"string expected, \"+i+\" 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r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return kn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Ct(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Fr(a)&&zr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Ct(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Ct(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Br(zt(a))&&\"identity\"===Ot(a.type)&&f.push(new Ct(r,a,'\"text-font\" does not support identity 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Kr(t,e);if(Yr(t)){var r=Jr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=te.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var gi=function(t){this.property=t,this.value=new di(t,void 0)};gi.prototype.transitioned=function(t,e){return new vi(this.property,this.value,e,u({},t.transition,this.transition),t.now)},gi.prototype.untransitioned=function(){return new vi(this.property,this.value,null,{},0)};var mi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};mi.prototype.getValue=function(t){return x(this._values[t].value.value)},mi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new gi(this._values[t].property)),this._values[t].value=new di(this._values[t].property,null===e?void 0:x(e))},mi.prototype.getTransition=function(t){return x(this._values[t].transition)},mi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new gi(this._values[t].property)),this._values[t].transition=x(e)||void 0},mi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},mi.prototype.transitioned=function(t,e){for(var r=new yi(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},mi.prototype.untransitioned=function(){for(var t=new yi(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var vi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};vi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var yi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};yi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},yi.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var xi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};xi.prototype.getValue=function(t){return x(this._values[t].value)},xi.prototype.setValue=function(t,e){this._values[t]=new di(this._values[t].property,null===e?void 0:x(e))},xi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},xi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};bi.prototype.isConstant=function(){return\"constant\"===this.value.kind},bi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var _i=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};_i.prototype.get=function(t){return this._values[t]};var wi=function(t){this.specification=t};wi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},wi.prototype.interpolate=function(t,e,r){var n=Ge[this.specification.type];return n?n(t,e,r):t};var Ti=function(t,e){this.specification=t,this.overrides=e};Ti.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new bi(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new bi(this,t.expression,e)},Ti.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new bi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ge[this.specification.type];return n?new bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ti.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new bi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new bi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new bi(this,{kind:\"constant\",value:s},e)}return new bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Ai=function(t){this.specification=t};Ai.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new pi(Math.floor(e.zoom),e)),t.expression.evaluate(new pi(Math.floor(e.zoom+1),e)),e)}},Ai.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ai.prototype.interpolate=function(t){return t};var Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Mi.prototype.interpolate=function(){return!1};var Si=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new gi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn(\"DataDrivenProperty\",Ti),Nn(\"DataConstantProperty\",wi),Nn(\"CrossFadedDataDrivenProperty\",ki),Nn(\"CrossFadedProperty\",Ai),Nn(\"ColorRampProperty\",Mi);var Ei=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(e=e,this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new mi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new _i(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(In,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return m(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Pn,n,t,e,r))return!1}if(m(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||(!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&((\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=g,this.uint32[x+10]=m,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=g,this.uint16[L+15]=m,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Pi);Qi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2ui4\",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn(\"StructArrayLayout1ui2\",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2f8\",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn(\"StructArrayLayout4f16\",ea);var ra=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn(\"CollisionBoxArray\",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ci);ia.prototype.size=48;var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ia(this,t)},e}(Wi);Nn(\"PlacedSymbolArray\",aa);var oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+12]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},r.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},r.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},r.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(e.prototype,r),e}(Ci);oa.prototype.size=68;var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new oa(this,t)},e}(Xi);Nn(\"SymbolInstanceArray\",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getoffsetX=function(t){return this.float32[1*t+0]},e}(Zi);Nn(\"GlyphOffsetArray\",la);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e}(Ji);Nn(\"SymbolLineVertexArray\",ca);var ua=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.sourceLayerIndex.get=function(){return 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t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof bi&&zr(o.property.specification)){var s=Va(a,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,f=o.property.specification[\"property-type\"],h=\"cross-faded\"===f||\"cross-faded-data-driven\"===f;if(\"constant\"===l.kind)this.binders[a]=h?new Ra(l.value,s):new Da(l.value,s,c),i.push(\"/u_\"+a);else if(\"source\"===l.kind||h){var p=Ha(a,c,\"source\");this.binders[a]=h?new Na(l,c,u,e,p,t.id):new Fa(l,s,c,p),i.push(\"/a_\"+a)}else{var d=Ha(a,c,\"composite\");this.binders[a]=new Ba(l,s,c,u,e,d),i.push(\"/z_\"+a)}}}this.cacheKey=i.sort().join(\"\")};ja.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Fa||e instanceof Ba?e.maxValue:0},ja.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof Fa||o instanceof Ba||o instanceof Na)&&o.populatePaintArray(t,e,r,n,i)}},ja.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof Ra&&n.setConstantPatternPositions(t,e)}},ja.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof Fa||h instanceof Ba||h instanceof Na)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(c.start,c.end,u,t[o],i),a=!0}}}return a},ja.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof Da||r instanceof Ra)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},ja.prototype.getPaintVertexBuffers=function(){return this._buffers},ja.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof Da||i instanceof Ra||i instanceof Ba)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},ja.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,c=o.binding;this.binders[l].setUniform(c,n,r.get(l),s)}},ja.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof Na){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Fa||r instanceof Ba)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},ja.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Fa||r instanceof Ba||r instanceof Na)&&r.upload(t)}this.updatePaintBuffers()},ja.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Fa||e instanceof Ba||e instanceof Na)&&e.destroy()}};var Ua=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new ja(o,r,n,t)}this.needsUpload=!1,this._featureMap=new _a,this._bufferOffset=0};function Va(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function Ha(t,e,r){var n={color:{source:ta,composite:ea},number:{source:Zi,composite:ta}},i=function(t){return{\"line-pattern\":{source:Bi,composite:Bi},\"fill-pattern\":{source:Bi,composite:Bi},\"fill-extrusion-pattern\":{source:Bi,composite:Bi}}[t]}(t);return 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c=t.readVarint();n=7&c,a=c>>3}if(a--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new i(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];u(l=f);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=ks(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}r&&i.push(r);return i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var h={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var As=Ms;function Ms(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ss,this,e),this.length=this._features.length}function Ss(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){var e=null,r=t.readVarint()+t.pos;for(;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Es(t,e,r){if(3===t){var n=new As(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ms.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new _s(this._pbf,e,this.extent,this._keys,this._values)};var Ls={VectorTile:function(t,e){this.layers=t.readFields(Es,{},e)},VectorTileFeature:_s,VectorTileLayer:As},Cs=Ls.VectorTileFeature.types,Ps=Math.pow(2,13);function Is(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ps)+o,i*Ps*2,a*Ps*2,Math.round(s))}var Os=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ri,this.indexArray=new Yi,this.programConfigurations=new Ua(bs,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function zs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}function Ds(t){return t.every((function(t){return t.x<0}))||t.every((function(t){return t.x>8192}))||t.every((function(t){return t.y<0}))||t.every((function(t){return t.y>8192}))}Os.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ds(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Ya(o):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Ya(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(gs(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},Os.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Os.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,bs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Os.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Os.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=hs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1){l+=u[c].length}for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!Ds(d))for(var g=0,m=0;m<d.length;m++){var v=d[m];if(m>=1){var y=d[m-1];if(!zs(v,y)){f.vertexLength+4>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);g+b>32768&&(g=0),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,g),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,g),g+=b,Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,g),Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,g);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Cs[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Is(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Do(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn(\"FillExtrusionBucket\",Os,{omit:[\"layers\",\"features\"]});var Rs={paint:new Si({\"fill-extrusion-opacity\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ki(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},Fs=function(t){function e(e){t.call(this,e,Rs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return so(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=lo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];xo(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l,0,0),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,g=0,m=t;g<m.length;g+=1){for(var v=m[g],y=[],x=[],b=0,_=v;b<_.length;b+=1){var w=_[b],T=w.x,k=w.y,A=n[0]*T+n[4]*k+n[12],M=n[1]*T+n[5]*k+n[13],S=n[2]*T+n[6]*k+n[14],E=n[3]*T+n[7]*k+n[15],L=S+c,C=E+u,P=A+f,I=M+h,O=S+p,z=E+d,D=new i((A+s)/C,(M+l)/C);D.z=L/C,y.push(D);var R=new i(P/z,I/z);R.z=O/z,x.push(R)}a.push(y),o.push(x)}return[a,o]}(n,f,u,l);return function(t,e,r){var n=1/0;Ka(r,e)&&(n=Ns(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],f=o[s+1],h=[l,c,f,u,l];Za(r,h)&&(n=Math.min(n,Ns(r,h)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ei);function Bs(t,e){return t.x*e.x+t.y*e.y}function Ns(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Bs(s,s),f=Bs(s,l),h=Bs(l,l),p=Bs(c,s),d=Bs(c,l),g=u*h-f*f,m=(h*p-f*d)/g,v=(u*d-f*p)/g,y=1-m-v,x=i.z*y+r.z*m+a.z*v;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var js=Ii([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,Us=Ls.VectorTileFeature.types,Vs=Math.cos(Math.PI/180*37.5),Hs=Math.pow(2,14)/.5,qs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Fi,this.indexArray=new Yi,this.programConfigurations=new Ua(js,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};qs.prototype.populate=function(t,e,r){this.hasPattern=ds(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:h?Ya(l):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),p,r)){h||(p.geometry=Ya(l));var d=n?n.evaluate(p,{},r):void 0,g={id:c,properties:l.properties,type:l.type,sourceLayerIndex:f,index:u,geometry:p.geometry,patterns:{},sortKey:d};i.push(g)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var m=0,v=i;m<v.length;m+=1){var y=v[m],x=y,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=gs(\"line\",this.layers,y,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(y,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},qs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},qs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},qs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},qs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},qs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,js),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},qs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},qs.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\"),u=0,f=e;u<f.length;u+=1){var h=f[u];this.addLine(h,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},qs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===Us[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,g=void 0,m=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],m=t[c].sub(u)._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){m&&(g=m),u&&(p=u),u=t[v],m=d?d.sub(u)._unit()._perp():g;var y=(g=g||m).add(m);0===y.x&&0===y.y||y._unit();var x=g.x*m.x+g.y*m.y,b=y.x*m.x+y.y*m.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Vs&&p&&d,k=g.x*m.y-g.y*m.x>0;if(T&&v>c){var A=u.dist(p);if(A>2*f){var M=u.sub(u.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,g,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,h);else if(\"flipbevel\"===E){if(_>100)y=m.mult(-1);else{var L=_*g.add(m).mag()/g.sub(m).mag();y._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(u,y,0,0,h),this.addCurrentVertex(u,y.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,I=k?0:C;if(p&&this.addCurrentVertex(u,g,P,I,h),\"fakeround\"===E)for(var O=Math.round(180*w/Math.PI/20),z=1;z<O;z++){var D=z/O;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=m.sub(g)._mult(D)._add(g)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(u,m,-P,-I,h)}else if(\"butt\"===E)this.addCurrentVertex(u,y,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,g,0,0,h),this.addCurrentVertex(u,g,1,1,h,!0)),d&&(this.addCurrentVertex(u,m,-1,-1,h,!0),this.addCurrentVertex(u,m,0,0,h)));if(T&&v<l-1){var N=u.dist(d);if(N>2*f){var j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,m,0,0,h),u=j}}}}},qs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>Hs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},qs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},qs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Hs-1):this.distance},qs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn(\"LineBucket\",qs,{omit:[\"layers\",\"patternFeatures\"]});var Gs=new Si({\"line-cap\":new wi(Lt.layout_line[\"line-cap\"]),\"line-join\":new Ti(Lt.layout_line[\"line-join\"]),\"line-miter-limit\":new wi(Lt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new wi(Lt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Ti(Lt.layout_line[\"line-sort-key\"])}),Ys={paint:new Si({\"line-opacity\":new Ti(Lt.paint_line[\"line-opacity\"]),\"line-color\":new Ti(Lt.paint_line[\"line-color\"]),\"line-translate\":new wi(Lt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new wi(Lt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Ti(Lt.paint_line[\"line-width\"]),\"line-gap-width\":new Ti(Lt.paint_line[\"line-gap-width\"]),\"line-offset\":new Ti(Lt.paint_line[\"line-offset\"]),\"line-blur\":new Ti(Lt.paint_line[\"line-blur\"]),\"line-dasharray\":new Ai(Lt.paint_line[\"line-dasharray\"]),\"line-pattern\":new ki(Lt.paint_line[\"line-pattern\"]),\"line-gradient\":new Mi(Lt.paint_line[\"line-gradient\"])}),layout:Gs},Ws=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties[\"line-width\"].specification);Ws.useIntegerZoom=!0;var Xs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var 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o=t[a],s=[],l=0;l<o.length;l++){var c=o[l-1],u=o[l],f=o[l+1],h=0===l?n:u.sub(c)._unit()._perp(),p=l===o.length-1?n:f.sub(u)._unit()._perp(),d=h._add(p)._unit(),g=d.x*p.x+d.y*p.y;d._mult(1/g),s.push(d._mult(e)._add(u))}r.push(s)}return r}(n,u*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(io(t,i[a]))return!0;if(Qa(t,i,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(Ei);function Zs(t,e){return e>0?e+2*t:t}var 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nl=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},il=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,f=u>>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,g=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*g},al=ol;function ol(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new 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e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readSFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===ol.Varint)for(;this.buf[this.pos++]>127;);else if(e===ol.Bytes)this.pos=this.readVarint()+this.pos;else if(e===ol.Fixed32)this.pos+=4;else{if(e!==ol.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return 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r=(7&t)<<4;if(e.buf[e.pos++]|=r|((t>>>=3)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;e.buf[e.pos++]=127&t}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&ul(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),il(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),il(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&ul(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,ol.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,fl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,gl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,pl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,dl,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,ml,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,vl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,xl,e)},writeBytesField:function(t,e){this.writeTag(t,ol.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,ol.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,ol.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};function Tl(t,e,r){1===t&&r.readMessage(kl,e)}function kl(t,e,r){if(3===t){var n=r.readMessage(Al,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new So({width:o+6,height:s+6},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function Al(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}function Ml(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var f=u[c],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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Eo({width:o||1,height:s||1});for(var c in t){var u=t[c],f=r[c].paddedRect;Eo.copy(u.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},u.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,g=d.x+1,m=d.y+1,v=p.data.width,y=p.data.height;Eo.copy(p.data,l,{x:0,y:0},{x:g,y:m},p.data),Eo.copy(p.data,l,{x:0,y:y-1},{x:g,y:m-1},{width:v,height:1}),Eo.copy(p.data,l,{x:0,y:0},{x:g,y:m+y},{width:v,height:1}),Eo.copy(p.data,l,{x:v-1,y:0},{x:g-1,y:m},{width:1,height:y}),Eo.copy(p.data,l,{x:0,y:0},{x:g+v,y:m},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ll.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new Sl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ll.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},Ll.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},Nn(\"ImagePosition\",Sl),Nn(\"ImageAtlas\",Ll);var Cl={horizontal:1,vertical:2,horizontalOnly:3};var Pl=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};Pl.forText=function(t,e){var r=new Pl;return r.scale=t||1,r.fontStack=e,r},Pl.forImage=function(t){var e=new Pl;return e.imageName=t,e};var Il=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function Ol(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=Il.fromFeature(t,i);f===Cl.vertical&&v.verticalizePunctuation();var y=hi.processBidirectionalText,x=hi.processStyledBidirectionalText;if(y&&1===v.sections.length){m=[];for(var b=0,_=y(v.toString(),jl(v,c,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new Il;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);m.push(T)}}else if(x){m=[];for(var A=0,M=x(v.text,v.sectionIndex,jl(v,c,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new Il;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,m.push(E)}}else m=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(v,jl(v,c,a,e,n,p,d));var L=[],C={positionedLines:L,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=0,p=-17,d=0,g=0,m=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=i;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,I=null,O=null,z=24,D=!(l===Cl.horizontal||!u&&!Zn(L)||u&&(zl[L]||(Y=L,Yn.Arabic(Y)||Yn[\"Arabic Supplement\"](Y)||Yn[\"Arabic Extended-A\"](Y)||Yn[\"Arabic Presentation Forms-A\"](Y)||Yn[\"Arabic Presentation Forms-B\"](Y))));if(S.imageName){var R=n[S.imageName];if(!R)continue;O=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/f,P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]};var B=24-F[1]*S.scale;C=w+B,z=P.advance;var N=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;N>0&&N>A&&(A=N)}else{var j=r[S.fontStack],U=j&&j[L];if(U&&U.rect)I=U.rect,P=U.metrics;else{var V=e[S.fontStack],H=V&&V[L];if(!H)continue;P=H.metrics}C=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=z*S.scale+c):(k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=P.advance*S.scale+c)}if(0!==k.length){var q=h-c;d=Math.max(q,d),Vl(k,0,k.length-1,m,A)}h=0;var G=a*_+A;T.lineOffset=Math.max(A,w),p+=G,g=Math.max(G,g),++v}else p+=a,++v}var Y;var W=p- -17,X=Ul(o),Z=X.horizontalAlign,J=X.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=h[f],d=0,g=p.positionedGlyphs;d<g.length;d+=1){var m=g[d];m.x+=c,m.y+=u}})(t.positionedLines,m,Z,J,d,g,a,W,i.length),t.top+=-J*W,t.bottom=t.top+W,t.left+=-Z*d,t.right=t.left+d}(C,e,r,n,m,o,s,l,f,c,h,g),!function(t){for(var e=0,r=t;e<r.length;e+=1){if(0!==r[e].positionedGlyphs.length)return!1}return!0}(L)&&C}Il.fromFeature=function(t,e){for(var r=new Il,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},Il.prototype.length=function(){return this.text.length},Il.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},Il.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},Il.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},Il.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;(!n||!Jn(n)||rl[t[r+1]])&&(!i||!Jn(i)||rl[t[r-1]])&&rl[t[r]]?e+=rl[t[r]]:e+=t[r]}return e}(this.text)},Il.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&zl[this.text.charCodeAt(e)];e++)t++;for(var 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e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-7;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=7-r}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-7;break;case\"bottom-right\":case\"bottom-left\":n=7-i;break;case\"bottom\":n=7-e;break;case\"top\":n=e-7}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function gc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function mc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,g){var m=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f<h.length;f+=1)for(var p=h[f],d=0,g=p.positionedGlyphs;d<g.length;d+=1){var m=g[d];if(m.rect){var v=m.rect||{},y=4,x=!0,b=1,_=0,w=(a||l)&&m.vertical,T=m.metrics.advance*m.scale/2;if(l&&e.verticalizable){var k=24*(m.scale-1),A=(24-m.metrics.width*m.scale)/2;_=p.lineOffset/2-(m.imageName?-A:k)}if(m.imageName){var M=s[m.imageName];x=M.sdf,y=1/(b=M.pixelRatio)}var S=a?[m.x+T,m.y]:[0,0],E=a?[0,0]:[m.x+T+r[0],m.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(m.metrics.left-y)*m.scale-T+E[0],P=(-m.metrics.top-y)*m.scale+E[1],I=C+v.w*m.scale/b,O=P+v.h*m.scale/b,z=new i(C,P),D=new i(I,P),R=new i(C,O),F=new i(I,O);if(w){var B=new i(-T,T- -17),N=-Math.PI/2,j=12-T,U=m.imageName?j:0,V=new i(22-j,-U),H=new(Function.prototype.bind.apply(i,[null].concat(L)));z._rotateAround(N,B)._add(V)._add(H),D._rotateAround(N,B)._add(V)._add(H),R._rotateAround(N,B)._add(V)._add(H),F._rotateAround(N,B)._add(V)._add(H)}if(c){var q=Math.sin(c),G=Math.cos(c),Y=[G,-q,q,G];z._matMult(Y),D._matMult(Y),R._matMult(Y),F._matMult(Y)}var W=new i(0,0),X=new i(0,0);u.push({tl:z,tr:D,bl:R,br:F,tex:v,writingMode:e.writingMode,glyphOffset:S,sectionIndex:m.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;\"source\"===v.kind?(y=[128*a.layout.get(\"text-size\").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},g),128*d.compositeTextSizes[1].evaluate(s,{},g)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'),t.addSymbols(t.text,m,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,g);for(var x=0,b=f;x<b.length;x+=1){h[b[x]]=t.text.placedSymbolArray.length-1}return 4*m.length}function vc(t){for(var e in t)return t[e];return null}function yc(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var xc=Ls.VectorTileFeature.types,bc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function _c(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=s?Math.min(32640,Math.round(s[0])):0,d=s?Math.min(32640,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*f,256*h)}function wc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Tc(t){for(var e=0,r=t.sections;e<r.length;e+=1){if($n(r[e].text))return!0}return!1}var kc=function(t){this.layoutVertexArray=new Ni,this.indexArray=new Yi,this.programConfigurations=t,this.segments=new pa,this.dynamicLayoutVertexArray=new ji,this.opacityVertexArray=new Ui,this.placedSymbolArray=new aa};kc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},kc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Js.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Ks.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,bc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},kc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Nn(\"SymbolBuffers\",kc);var Ac=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new pa,this.collisionVertexArray=new Gi};Ac.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Qs.members,!0)},Ac.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Nn(\"CollisionBuffers\",Ac);var Mc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ho([]),this.placementViewportMatrix=ho([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Gl(this.zoom,e[\"text-size\"]),this.iconSizeData=Gl(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return Cl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Mc.prototype.createArrays=function(){this.text=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new la,this.lineVertexArray=new ca,this.symbolInstances=new sa},Mc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=rl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Mc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof ne&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),g=0,m=t;g<m.length;g+=1){var v=m[g],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Ya(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Ya(y));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=ne.factory(A);Tc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ui()||this.hasRTLText&&hi.isParsed())&&(k=el(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ie?E:ie.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Ya(y),properties:y.properties,type:xc[y.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),I=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Cl.vertical)>=0;for(var O=0,z=k.sections;O<z.length;O+=1){var D=z[O];if(D.image)f[D.image.name]=!0;else{var R=Wn(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,f),m=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(h,n[m].geometry,!0)]=m,n[g].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Mc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Mc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Mc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Mc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Mc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Mc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Mc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Mc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),g=this.glyphOffsetArray.length,m=d.vertexLength,v=this.allowVerticalPlacement&&o===Cl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,O=d.vertexLength,z=C[1];_c(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),_c(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),_c(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),_c(p,s.x,s.y,k.x,z+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),wc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(O,O+1,O+2),h.emplaceBack(O+1,O+2,O+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,g,this.glyphOffsetArray.length-g,m,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},Mc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Mc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},Mc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Mc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ac(Hi,$s.members,Qi),this.iconCollisionBox=new Ac(Hi,$s.members,Qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},Mc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var g=t.get(d);c.iconBox={x1:g.x1,y1:g.y1,x2:g.x2,y2:g.y2,anchorPointX:g.anchorPointX,anchorPointY:g.anchorPointY},c.iconFeatureIndex=g.featureIndex;break}for(var m=s;m<l;m++){var v=t.get(m);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},Mc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},Mc.prototype.hasTextData=function(){return this.text.segments.get().length>0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Mc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Mc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},Mc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Yr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Mc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Ec.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i=this.paint.get(n),a=new Lc(i),o=new Gr(a,i.property.specification),s=null;s=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Xr(\"source\",o):new Zr(\"composite\",o,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new bi(i.property,s,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=Ec.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof ne)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ce&&se(t.value)===Gt){var e=t.value;a(e.sections)}else t instanceof pe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ei),Pc={paint:new Si({\"background-color\":new wi(Lt.paint_background[\"background-color\"]),\"background-pattern\":new Ai(Lt.paint_background[\"background-pattern\"]),\"background-opacity\":new wi(Lt.paint_background[\"background-opacity\"])})},Ic=function(t){function e(e){t.call(this,e,Pc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei),Oc={paint:new Si({\"raster-opacity\":new wi(Lt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new wi(Lt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new wi(Lt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new wi(Lt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new wi(Lt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new wi(Lt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new wi(Lt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new wi(Lt.paint_raster[\"raster-fade-duration\"])})},zc=function(t){function e(e){t.call(this,e,Oc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei);var Dc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ei),Rc={circle:_o,heatmap:Po,hillshade:Oo,fill:xs,\"fill-extrusion\":Fs,line:Xs,symbol:Cc,background:Ic,raster:zc};var Fc=self.HTMLImageElement,Bc=self.HTMLCanvasElement,Nc=self.HTMLVideoElement,jc=self.ImageData,Uc=self.ImageBitmap,Vc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Vc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Vc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Vc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Vc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Hc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Hc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Hc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var qc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g([\"receive\",\"process\"],this),this.invoker=new Hc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Gc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}qc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:Hn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},eu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},eu.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var ru=function(t,e){this.wrap=t,this.canonical=e,this.key=iu(t,e.z,e.z,e.x,e.y)},nu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new eu(r,+n,+i),this.key=iu(e,t,r,n,i)};function iu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}nu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},nu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},nu.prototype.wrapped=function(){return new nu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.unwrapTo=function(t){return new nu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},nu.prototype.toUnwrapped=function(){return new ru(this.wrap,this.canonical)},nu.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},nu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new tu(t.x-this.wrap,t.y))},Nn(\"CanonicalTileID\",eu),Nn(\"OverscaledTileID\",nu,{omit:[\"posMatrix\"]});var au=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return _('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};au.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},au.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},au.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Nn(\"DEMData\",au);var ou=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};ou.prototype.encode=function(t){return this._stringToNumber[t]},ou.prototype.decode=function(t){return this._numberToString[t]};var su=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},lu={geometry:{configurable:!0}};lu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},lu.geometry.set=function(t){this._geometry=t},su.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(su.prototype,lu);var cu=function(){this.state={},this.stateChanges={},this.deletedStates={}};cu.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r){this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]}},cu.prototype.removeFeatureState=function(t,e,r){if(!(null===this.deletedStates[t])){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e){if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null}else this.deletedStates[t]=null}},cu.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=u({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},cu.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},cu.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1){var p=h[f];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t){t[d].setFeatureState(r,e)}};var uu=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new zn(8192,16,0),this.grid3D=new zn(8192,16,0),this.featureIndexArray=new fa,this.promoteId=e};function fu(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof _i?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function hu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function pu(t,e){return e-t}uu.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1){if(io(t,f[u]))return!0}for(var h=0;h<t.length-1;h++){if(ao(t[h],t[h+1],c))return!0}return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)})),g=0,m=d;g<m.length;g+=1){var v=m[g];h.push(v)}h.sort(pu);for(var y,x={},b=function(i){var u=h[i];if(u!==y){y=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(x,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Ya(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<h.length;_++)b(_);return x},uu.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),g=0;g<f.length;g++){var m=f[g];if(!(a&&a.indexOf(m)<0)){var v=s[m];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[m];x.paint=fu(x.paint,v.paint,p,y,o),x.layout=fu(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new su(p,this.z,this.x,this.y,d);_.layer=x;var w=t[m];void 0===w&&(w=t[m]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},uu.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=sn(i),u=0,f=t;u<f.length;u+=1){var h=f[u];this.loadMatchingFeature(l,r,n,h,c,a,o,s,e)}return l},uu.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1){if(t===i[n])return!0}return!1},uu.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Nn(\"FeatureIndex\",uu,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var du=function(t,e){this.tileID=t,this.uid=h(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};du.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},du.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},du.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Mc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof Mc&&o.hasRTLText){this.hasRTLText=!0,hi.isLoading()||hi.isLoaded()||\"deferred\"!==ui()||fi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new na},du.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},du.prototype.getBucket=function(t){return this.buckets[t.id]},du.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Vc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Vc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},du.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},du.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},du.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=sn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),g=new su(p,l,c,u,d);g.tile=f,t.push(g)}}}},du.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},du.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},du.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=A(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},du.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},du.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},du.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},du.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},du.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},du.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},du.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){r[i[n]]=!0}this.dependencies[t]=r},du.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1){if(a[s[o]])return!0}}return!1};var 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r},t.makeRequest=yt,t.mapObject=v,t.mercatorXfromLng=Jc,t.mercatorYfromLat=Kc,t.mercatorZfromAltitude=Qc,t.mul=go,t.multiply=po,t.mvt=Ls,t.normalize=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new 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m=(c+1)%2;(0===c?r-i<=d:n-i<=g)&&(o.push(f),o.push(p-1),o.push(m)),(0===c?r+i>=d:n+i>=g)&&(o.push(p+1),o.push(u),o.push(m))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var j={minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},U=function(t){this.options=X(Object.create(j),t),this.trees=new Array(this.options.maxZoom+1)};function V(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:W(i),zoom:1/0,index:e,parentId:-1}}function q(t){return{type:\"Feature\",id:t.id,properties:G(t),geometry:{type:\"Point\",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function G(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return 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r=0;r<e.length;r+=3)t.minX=Math.min(t.minX,e[r]),t.minY=Math.min(t.minY,e[r+1]),t.maxX=Math.max(t.maxX,e[r]),t.maxY=Math.max(t.maxY,e[r+1])}function tt(t,e,r,n){if(e.geometry){var i=e.geometry.coordinates,a=e.geometry.type,o=Math.pow(r.tolerance/((1<<r.maxZoom)*r.extent),2),s=[],l=e.id;if(r.promoteId?l=e.properties[r.promoteId]:r.generateId&&(l=n||0),\"Point\"===a)et(i,s);else if(\"MultiPoint\"===a)for(var c=0;c<i.length;c++)et(i[c],s);else if(\"LineString\"===a)rt(i,s,o,!1);else if(\"MultiLineString\"===a){if(r.lineMetrics){for(c=0;c<i.length;c++)s=[],rt(i[c],s,o,!1),t.push(Q(l,\"LineString\",s,e.properties));return}nt(i,s,o,!1)}else if(\"Polygon\"===a)nt(i,s,o,!0);else{if(\"MultiPolygon\"!==a){if(\"GeometryCollection\"===a){for(c=0;c<e.geometry.geometries.length;c++)tt(t,{id:l,geometry:e.geometry.geometries[c],properties:e.properties},r,n);return}throw new Error(\"Input data is not a valid GeoJSON object.\")}for(c=0;c<i.length;c++){var 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u=t[c],f=u.geometry,h=u.type,p=0===i?u.minX:u.minY,d=0===i?u.maxX:u.maxY;if(p>=r&&d<n)l.push(u);else if(!(d<r||p>=n)){var g=[];if(\"Point\"===h||\"MultiPoint\"===h)st(f,g,r,n,i);else if(\"LineString\"===h)lt(f,g,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===h)ut(f,g,r,n,i,!1);else if(\"Polygon\"===h)ut(f,g,r,n,i,!0);else if(\"MultiPolygon\"===h)for(var m=0;m<f.length;m++){var v=[];ut(f[m],v,r,n,i,!0),v.length&&g.push(v)}if(g.length){if(s.lineMetrics&&\"LineString\"===h){for(m=0;m<g.length;m++)l.push(Q(u.id,h,g[m],u.tags));continue}\"LineString\"!==h&&\"MultiLineString\"!==h||(1===g.length?(h=\"LineString\",g=g[0]):h=\"MultiLineString\"),\"Point\"!==h&&\"MultiPoint\"!==h||(h=3===g.length?\"Point\":\"MultiPoint\"),l.push(Q(u.id,h,g,u.tags))}}}return l.length?l:null}function st(t,e,r,n,i){for(var a=0;a<t.length;a+=3){var o=t[a+i];o>=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function lt(t,e,r,n,i,a,o){for(var 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r=[],n=0;n<t.length;n++){var i,a=t[n],o=a.type;if(\"Point\"===o||\"MultiPoint\"===o||\"LineString\"===o)i=gt(a.geometry,e);else if(\"MultiLineString\"===o||\"Polygon\"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(gt(a.geometry[s],e))}else if(\"MultiPolygon\"===o)for(i=[],s=0;s<a.geometry.length;s++){for(var l=[],c=0;c<a.geometry[s].length;c++)l.push(gt(a.geometry[s][c],e));i.push(l)}r.push(Q(a.id,o,i,a.tags))}return r}function gt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function mt(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(vt(c[n],c[n+1],e,a,o,s));else for(n=0;n<c.length;n++){var f=[];for(i=0;i<c[n].length;i+=2)f.push(vt(c[n][i],c[n][i+1],e,a,o,s));l.geometry.push(f)}}return t.transformed=!0,t}function 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u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function bt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function _t(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)tt(r,t.features[n],e,n);else\"Feature\"===t.type?tt(r,t,e):tt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=ot(t,1,-1-r,r,0,-1,2,e),a=ot(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=ot(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=dt(i,1).concat(n)),a&&(n=n.concat(dt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function wt(t,e,r){return 32*((1<<t)*r+e)+t}function Tt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new m(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}U.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new N(s,Z,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u<f.length;u+=1){var h=f[u],p=l.points[h];c.push(p.numPoints?q(p):this.points[p.index])}return c},U.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],f=i.points[u];f.parentId===t&&s.push(f.numPoints?q(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},U.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},U.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},U.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},U.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},U.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?G(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},U.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},U.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],f=u.within(c.x,c.y,s),h=c.numPoints||1,p=c.x*h,d=c.y*h,g=o&&h>1?this._map(c,!0):null,m=(l<<5)+(e+1)+this.points.length,v=0,y=f;v<y.length;v+=1){var x=y[v],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=m,o&&(g||(g=this._map(c,!0)),o(g,this._map(b)))}}1===h?r.push(c):(c.parentId=m,r.push(V(p/h,d/h,m,h,g)))}}return r},U.prototype._getOriginId=function(t){return t-this.points.length>>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=wt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time(\"creation\"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){c>1&&console.time(\"clipping\");var g,m,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;g=m=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(g=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),m=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(m||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=wt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?mt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=h[1],g=t.createExpression(d),m=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=g.value,a[f]=m.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new _t(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON 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t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!t||4===t.length&&(!(t[0]<0||e.data.width<t[0])&&(!(t[1]<0||e.data.height<t[1])&&(!(t[2]<0||e.data.width<t[2])&&(!(t[3]<0||e.data.height<t[3])&&(!(t[2]<t[0])&&!(t[3]<t[1]))))))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=m,d=m,g=1e20;function m(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-g,n[1]=+g;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+g}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}m.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?g:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?g:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1){(0,o[i])(t,e)}delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var g=n-Math.abs(d);p=Math.sqrt(h*h+g*g)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function A(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var M=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};M.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},M.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,f=Math.max(c,u),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var 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e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(_t),kt=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new wt(t,a),n&&(this.depthAttachment=new Tt(t,a))};kt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var At=function(t,e,r){this.func=t,this.mask=e,this.range=r};At.ReadOnly=!1,At.ReadWrite=!0,At.disabled=new At(519,At.ReadOnly,[0,1]);var Mt=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Mt.disabled=new Mt({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new q(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new mt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Lt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var m=this.findLoadedParent(d,o);m&&(this._addTile(m.tileID),c[m.tileID.key]=m.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var m=d.children(this._source.maxzoom)[0],v=this.getTile(m);if(v&&v.hasData()){n[m.key]=m;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,g=0,m=c;g<m.length;g+=1){var v=m[g];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),m=r*n.queryPadding*t.EXTENT/n.tileSize/g,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-m<t.EXTENT&&v[0].y-m<t.EXTENT&&v[1].x+m>=0&&v[1].y+m>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[zt]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function Ht(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function qt(t,e,r,n){Ht(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Xt(t,e){return t[e.id]=e,t}function Zt(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Ht(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):qt(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Xt,{}),d=r.reduce(Xt,{}),g=f.slice(),m=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],g[g.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-a),1)):a++,c=g[g.length-i],n.push({command:Ut.addLayer,args:[d[o],c]}),g.splice(g.length-i,0,o),m[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!m[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}var Jt=function(t,e){this.reset(t,e)};Jt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Jt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Qt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function $t(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function te(e,r){var n=[e.x,e.y,0,1];fe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ee(t,e){return.5+t/e*.5}function re(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,m=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!m)ue(y.numGlyphs,h);else{m=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),re(x,f)){var b=x[3],_=ee(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(c,u,y),T=s?w/_:w*_,k=new t.Point(y.anchorX,y.anchorY),A=te(k,a).point,M={},S=oe(y,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,g);m=S.useVertical,(S.notEnoughRoom||m||S.needsFlipping&&oe(y,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,g).notEnoughRoom)&&ue(y.numGlyphs,h)}else ue(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ie(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),g=e.getoffsetX(f-1),m=le(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!m)return null;var v=le(t*g,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:m,last:v}:null}function ae(e,r,n,i){if(e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=r/24,v=e.lineOffsetX*m,y=e.lineOffsetY*m;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(m,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}g=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)g.push(le(m*l.getoffsetX(M),v,y,n,f,h,e.segment,b,_,c,o,p));g.push(w.last)}else{if(i&&!n){var S=te(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=te(L,a),P=C.signedDistanceFromCamera>0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(m*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};g=[O]}for(var z=0,D=g;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function se(t,e,r,n,i){var a=te(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function le(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,g=0;i&&(d*=-1,g=Math.PI),d<0&&(g+=Math.PI);for(var m=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((m+=d)<l||m>=c)return null;if(y=v,w.push(v),void 0===(v=h[m])){var T=new t.Point(u.getx(m),u.gety(m)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[m]=k.point;else{var A=m-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=g+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[i];if(null!==g)for(var m=this.circles,v=0,y=g;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(m[b],m[b+1],m[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=m[b],w=m[b+1],T=m[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Kt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[g+0],f[g+1],f[g+2],f[g+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var m=this.circleCells[i];if(null!==m)for(var v=this.circles,y=0,x=m;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Kt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Kt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Kt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Kt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ce,3*n)}}function fe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Kt(t.width+200,t.height+200,25)),void 0===r&&(r=new Kt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function pe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],g=new t.Point(r.anchorX,r.anchorY),m=te(g,o),v=ee(this.transform.cameraToCenterDistance,m.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=te(g,s).point,b=ie(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,g,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Jt,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var I=1;I<L.path.length;I++)C.push(L.path[I]);var O=2.5*k;if(l){var z=C.map((function(t){return te(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V=0;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/O)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Y=G.x+100,W=G.y+100;d.push(Y,W,k,0);var X=Y-k,Z=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(X,Z,J,K),w=w||this.isInsideGrid(X,Z,J,K),!e&&this.grid.hitTestCircle(Y,W,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var g=d[p],m=g.key;if(void 0===f[m.bucketInstanceId]&&(f[m.bucketInstanceId]={}),!f[m.bucketInstanceId][m.featureIndex]){var v=[new t.Point(g.x1,g.y1),new t.Point(g.x2,g.y1),new t.Point(g.x2,g.y2),new t.Point(g.x1,g.y2)];t.polygonIntersectsPolygon(r,v)&&(f[m.bucketInstanceId][m.featureIndex]=!0,void 0===h[m.bucketInstanceId]&&(h[m.bucketInstanceId]=[]),h[m.bucketInstanceId].push(m.featureIndex))}}return h},he.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return fe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var de=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};de.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var ge=function(t,e,r,n,i){this.text=new de(t?t.text:null,e,r,i),this.icon=new de(t?t.icon:null,e,n,i)};ge.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var me=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},ve=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ye=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},xe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function be(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function _e(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}xe.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var we=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new xe(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Te(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}we.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=pe(n,1,this.transform.zoom),g=Qt(f,h,p,this.transform,d),m=null;if(h){var v=$t(f,h,p,this.transform,d);m=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ye(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:g,labelToScreenMatrix:m,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},we.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=[f.textOffset0,f.textOffset1],v=be(t,r,n,m,i),y=this.collisionIndex.placeCollisionBox(_e(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(d&&0===this.collisionIndex.placeCollisionBox(_e(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return;if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(g=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:m,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:g},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,g=a.collisionGroup,m=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||m);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new me(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length;i+=1){if(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),L&&L.box&&L.box.length)break}else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var m=N[d%N.length],v=d>=N.length,k=i.attemptAnchorPlacement(m,t,a,s,c,b,_,f,l,g,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,g.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,g.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,g.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=m||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,g.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,g.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt<P.circles.length;tt+=4)$.circles.push(P.circles[tt+0]),$.circles.push(P.circles[tt+1]),$.circles.push(P.circles[tt+2]),$.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new me(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},we.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},we.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new ge(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new ge(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new ge(f,n,!1,!1);h.isHidden()||(this.opacities[u]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},we.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},we.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new ge(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new ge(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},g=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,g=a.crossTileID,m=r[g],v=i.opacities[g];m?v=o:v||(v=p,i.opacities[g]=v),r[g]=!0;var y=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[g];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},m=0;m<e.symbolInstances.length;m++)g(m);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},we.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},we.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},we.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},we.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new we(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Re.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=De/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Re.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Fe=function(){this.maxCrossTileID=0};Fe.prototype.generate=function(){return++this.maxCrossTileID};var Be=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Be.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Be.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++){e.symbolInstances.get(n).crossTileID=0}this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Re(t,e.symbolInstances,e.bucketInstanceId),!0},Be.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Be.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ne=function(){this.layerIndexes={},this.crossTileIDs=new Fe,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ne.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Be);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ne.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var je=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},Ue=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ve=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),He=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a=null;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),qe=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Ne,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if((t.triggerPluginCompletionEvent(e),r)&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(He,!1)},r.prototype._load=function(e,r){if(!r||!je(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,g=l.stretchX,m=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:g,stretchY:m,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),je(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=Zt(this.serialize(),e).filter((function(t){return!(t.command in Ve)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in Ue)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1){var h=f[u];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var g=this._order[d];if(r(g))for(var m=i.length-1;m>=0;m--){var v=i[m].feature;if(n[v.layer.id]<d)break;p.push(v),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][g];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1){var h=f[u];c.push(o[h])}c.sort(B);for(var p=function(){var r=g[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1){var h=f[u];o.push(h)}}},d=0,g=c;d<g.length;d+=1)p();var m=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var v in s)m(v);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&je(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers){this._layers[e].setEventedParent(null)}for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var g=0,m=this._order;g<m.length;g+=1){var v=m[g],y=this._layers[v];\"symbol\"===y.type&&this.placement.updateLayerOpacities(y,l[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var Ge=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ye=yr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),We=yr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Xe=yr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ze=yr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Je=yr(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ke=yr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),Qe=yr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),$e=yr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),tr=yr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),er=yr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),rr=yr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),nr=yr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ir=yr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),or=yr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),sr=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),lr=yr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),cr=yr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),ur=yr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),fr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=yr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),pr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),dr=yr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),gr=yr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),mr=yr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),vr=yr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function yr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:gr,symbolSDF:mr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},br.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1){p[h].enableAttributes(u,t)}a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,g=r;d<g.length;d+=1){var m=g[d];m.bind(),m.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},br.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var _r=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ye.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ye.vertexSource,e.vertexSource).join(\"\\n\"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=a.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=a.getAttribLocation(this.program,g.name))}for(var m=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<m;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function wr(t,e,r){var n=1/pe(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(m={},m[v.LINES]=2,m[v.TRIANGLES]=3,m[v.LINE_STRIP]=1,m)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var g=i[d],m=r.getTile(g),v=m.getBucket(n);if(v){var y=g.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(g.posMatrix,m,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,m),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],I=E.circleArray[C+1],O=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,I,O,z,0),k.emplace(A++,P,I,O,z,1),k.emplace(A++,P,I,O,z,2),k.emplace(A++,P,I,O,z,3)}(!qr||qr.length<2*h)&&(qr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(qr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Pr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Qr=t.identity(new Float32Array(16));function $r(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function tn(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,g={};p.clear();for(var m=0;m<h.length;m++){var v=h.get(m),y=e.allowVerticalPlacement&&!v.placedOrientation,x=v.hidden||!v.crossTileID||y?null:i[v.crossTileID];if(x){var b=new t.Point(v.anchorX,v.anchorY),_=te(b,n?l:s),w=ee(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,v)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=$r(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?te(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<v.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&v.associatedIconIndex>=0&&(g[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var I=C.get(P);if(I.hidden)ue(I.numGlyphs,d);else{var O=g[P];if(O)for(var z=0;z<I.numGlyphs;z++)t.addDynamicAttributes(d,O.shiftedAnchor,O.angle);else ue(I.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function en(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function rn(e,r,n,i,a,o,s,l,c,u,f,h){for(var p=e.context,d=p.gl,g=e.transform,m=\"map\"===l,v=\"map\"===c,y=m&&\"point\"!==n.layout.get(\"symbol-placement\"),x=m&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,At.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,I=a?E.textSizeData:E.iconSizeData,O=v||0!==g.pitch,z=e.useProgram(en(P,a,E),C),D=t.evaluateSizeForZoom(I,g.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===I.kind||\"camera\"===I.kind;U=O||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||O?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=pe(S,1,e.transform.zoom),G=Qt(M.posMatrix,v,m,e.transform,q),Y=$t(M.posMatrix,v,m,e.transform,q),W=w&&E.hasTextData(),X=\"none\"!==n.layout.get(\"icon-text-fit\")&&W&&E.hasIconData();y&&ne(E,M.posMatrix,e,a,G,Y,v,u);var Z=e.translatePosMatrix(M.posMatrix,S,o,s),J=y||a&&w||X?Qr:G,K=e.translatePosMatrix(Y,S,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),$={program:z,buffers:L,uniformValues:P?E.iconsInText?Wr(I.kind,D,x,v,e,Z,J,K,R,F):Yr(I.kind,D,x,v,e,Z,J,K,a,R,!0):Gr(I.kind,D,x,v,e,Z,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:Q};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:$})}else T.push({segments:L.segments,sortKey:0,state:$})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function nn(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function an(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),g=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var m=0,v=n;m<v.length;m+=1){var y=v[m],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(g));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Er(S,t,g,x,E):Sr(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Mr(S,t,g,x):Ar(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function on(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var g=d[p],m=e.getTile(g),v=m.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),m.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&m.imageAtlas){var _=m.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(g.posMatrix,m,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?kr(k,t,A,h,g,f,m):Tr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,M,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function sn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=function(t,e,r){var n=r.paint.get(\"hillshade-shadow-color\"),i=r.paint.get(\"hillshade-highlight-color\"),a=r.paint.get(\"hillshade-accent-color\"),o=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Dr(t,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),o],u_shadow:n,u_highlight:i,u_accent:a}}(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function ln(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var g=r.fbo;if(!g){var m=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);m.bind(c.LINEAR,c.CLAMP_TO_EDGE),(g=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(m.texture)}l.bindFramebuffer.set(g.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,a,o,s,Et.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function cn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function gn(t){var e=t.transform.padding;mn(t,t.transform.height-(e.top||0),3,un),mn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function mn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,g=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,m=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(m+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,m+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,g),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),g=d.getBucket(n);if(g&&g.text&&g.text.segments.get().length){var m=g.textSizeData,v=t.evaluateSizeForZoom(m,l.zoom),y=pe(d,1,r.transform.zoom),x=Qt(p.posMatrix,u,c,r.transform,y),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&g.hasIconData();if(v){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);tn(g,c,u,s,t.symbolSize,l,x,p.posMatrix,_,v,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&rn(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&rn(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Kr(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Kr(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,At.ReadOnly),h=Mt.disabled,p=e.colorModeForRenderPass(),d=[],g=0;g<i.length;g++){var m=i[g],v=r.getTile(m),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Lr(e,m,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,I=S.uniformValues,O=M.segments;L.draw(c,u.TRIANGLES,f,h,p,Et.disabled,I,n.id,C,P,O,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Mt.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),g=e.transform.zoom;d.draw(a,o.TRIANGLES,At.disabled,s,l,Et.disabled,zr(u.posMatrix,f,g,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(!a)return;n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA));o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,At.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),f=u.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":c?\"lineSDF\":h?\"lineGradient\":\"line\",g=e.context,m=g.gl,v=!0;if(h){g.activeTexture.set(m.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,m.RGBA)),y.bind(m.LINEAR,m.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=v||M.program!==A,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var I=f?Br(e,w,n,p):c?Nr(e,w,n,c,p):h?Fr(e,w,n):Rr(e,w,n);f?(g.activeTexture.set(m.TEXTURE0),w.imageAtlasTexture.bind(m.LINEAR,m.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(g.activeTexture.set(m.TEXTURE0),e.lineAtlas.bind(g)),M.draw(g,m.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?At.ReadWrite:At.ReadOnly);an(e,r,n,i,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,At.ReadOnly);an(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))on(t,e,r,n,a,Mt.disabled,St.disabled),on(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();on(t,e,r,n,a,Mt.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,At.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?ln(t,p,r,a,o,Mt.disabled,s):\"translucent\"===t.renderPass&&sn(t,p,r,o,c[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,g=f;d<g.length;d+=1){var m=g[d],v=t.depthModeForSublayer(m.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?At.ReadWrite:At.ReadOnly,a.LESS),y=e.getTile(m),x=t.transform.calculatePosMatrix(m.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(m,0),_=cn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Vr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,v,Mt.disabled,l,Et.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[m.overscaledZ],l,Et.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var f=Mt.disabled,h=t.depthModeForSublayer(0,\"opaque\"===u?At.ReadWrite:At.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),g=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var m=r.getCrossfadeParameters(),v=0,y=g;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Zr(b,i,t,c,{tileID:x,tileSize:l},m):Xr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)xn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Mt.disabled);var o=\"3d\"===i.renderingMode?new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,At.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},_n=function(t,e){this.context=new Lt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ne,this.gpuTimers={}};_n.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},_n.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ge.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ge.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ge.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Mt({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},_n.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,At.disabled,this.stencilClearMode,St.disabled,Et.disabled,Or(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},_n.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,At.disabled,new Mt({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Or(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},_n.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Mt({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Mt.disabled,e),n]},_n.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){return new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},_n.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return At.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new At(r||this.context.gl.LEQUAL,e,[n,n])},_n.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},_n.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var g=0;g<i.length;g++){var m=i[g];if(this.style._layers[m].is3D()){this.opaquePassCutoff=g;break}}this.renderPass=\"offscreen\";for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&bn.debug(this,l,l.getVisibleCoordinates()));this.options.showPadding&&gn(this),this.context.setDefault()},_n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),bn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},_n.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},_n.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},_n.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},_n.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},_n.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:pe(r,n[0],this.transform.zoom),a?n[1]:pe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},_n.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},_n.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Tn(n,i)},Tn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Tn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Tn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Mn.zoom.get=function(){return this._zoom},Mn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var g=u.pop(),m=g.x,v=g.y,y=g.fullyVisible;if(!y){var x=g.aabb.intersects(s);if(0===x)continue;y=2===x}var b=g.aabb.distanceX(o),_=g.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-g.zoom)-2;if(g.zoom===h||w>T&&g.zoom>=l)f.push({tileID:new t.OverscaledTileID(g.zoom===h?p:g.zoom,g.wrap,g.zoom,m,v),distanceSq:t.sqrLen([o[0]-.5-m,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(m<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:g.aabb.quadrant(k),zoom:g.zoom+1,x:A,y:M,wrap:g.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},An.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},An.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},An.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var g=p.y,m=c.y/2;g-m<a&&(i=a+m),g+m>o&&(i=o-m)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),g=Math.sin(this.angle),m=s-Math.round(s)+d*h+g*p,v=l-Math.round(l)+d*p+g*h,y=new Float64Array(f);if(t.translate(y,y,[m>.5?m-1:m,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(An.prototype,Mn);var Sn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Sn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Sn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Sn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+u):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},Sn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},Sn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Dn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}On.prototype.clear=function(){this._inertiaBuffer=[]},On.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},On.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Dn(r.pan.mag(),o,t.extend({},Ln,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,zn(s,l)}if(r.zoom){var c=Dn(r.zoom,o,Cn);s.zoom=this._map.transform.zoom+c.amount,zn(s,c)}if(r.bearing){var u=Dn(r.bearing,o,Pn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),zn(s,u)}if(r.pitch){var f=Dn(r.pitch,o,In);s.pitch=this._map.transform.pitch+f.amount,zn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Rn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Fn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Bn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Nn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Nn.prototype.reset=function(){delete this._mousedownPos},Nn.prototype.wheel=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Nn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseup=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Un.prototype.isEnabled=function(){return!!this._enabled},Un.prototype.isActive=function(){return!!this._active},Un.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Un.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Un.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Un.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Un.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Un.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Un.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Un.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Hn=function(t){this.reset(),this.numTouches=t.numTouches};Hn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Hn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Vn(n,r)))},Hn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Vn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Yn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Yn),Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Zn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Jn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Jn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Jn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Jn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Jn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(){this.reset()};function Qn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Kn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Kn.prototype._start=function(t){},Kn.prototype._move=function(t,e,r){return{}},Kn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Kn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=Qn(r,e,i),s=Qn(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Kn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=Qn(n,e,a),l=Qn(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Kn.prototype.touchcancel=function(){this.reset()},Kn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};function $n(t,e){return Math.log(t/e)/Math.LN2}var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs($n(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:$n(this._distance,r),pinchAround:e}},e}(Kn);function ei(t,e){return 180*t.angleWith(e)/Math.PI}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ei(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ei(t,this._startVector);return Math.abs(r)<e},e}(Kn);function ni(t){return Math.abs(t.y)>Math.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var gi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},mi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};yi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},yi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Nn(e,t));var n=e.boxZoom=new Un(e,t);this._add(\"boxZoom\",n);var i=new Gn,a=new ui;e.doubleClickZoom=new ci(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new fi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ii;this._add(\"touchPitch\",s);var l=new Xn(t),c=new Zn(t);e.dragRotate=new pi(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Wn(t),f=new Jn(t);e.dragPan=new hi(r,u,f),this._add(\"mousePan\",u),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ri,p=new ti;e.touchZoomRotate=new di(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new li(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var g=e.keyboard=new oi;this._add(\"keyboard\",g),this._add(\"blockableMapEvent\",new jn(e));for(var m=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];m<v.length;m+=1){var y=v[m];t.interactive&&t[y]&&e[y].enable(t[y])}},yi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},yi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1){e[t].handler.reset()}this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},yi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1){if(e[t].handler.isActive())return!0}return!1},yi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yi.prototype.isMoving=function(){return Boolean(gi(this._eventsInProgress))||this.isZooming()},yi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},yi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},yi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},yi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var g=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(g=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,g,h,n),g&&g.needsRenderFrame&&this._triggerRenderFrame()),(g||p.isActive())&&(o[h]=p)}}var m={};for(var v in this._previousActiveHandlers)o[v]||(m[v]=n);this._previousActiveHandlers=o,(Object.keys(m).length||vi(i))&&(this._changes.push([i,a,m]),this._triggerRenderFrame()),(Object.keys(o).length||vi(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},yi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},yi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},yi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!vi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},yi.prototype._fireEvents=function(e,r){var n=this,i=gi(this._eventsInProgress),a=gi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var c in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(c,o[c]);for(var u in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[u].originalEvent;this._fireEvent(u,f)}var h,p={};for(var d in this._eventsInProgress){var g=this._eventsInProgress[d],m=g.handlerName,v=g.originalEvent;this._handlersById[m].isActive()||(delete this._eventsInProgress[d],h=r[m]||v,p[d+\"end\"]=h)}for(var y in p)this._fireEvent(y,p[y]);var x=gi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},yi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new mi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var xi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),g=p.sub(d),m=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/g.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/g.y;if(!(v<0||m<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(m,v)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(w)),zoom:y,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),g=i.pointLocation(d),m=t.LngLat.convert(e.center||g);this._normalizeCenter(m);var v,y,x=i.project(g),b=i.project(m).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var g=i.zoomScale(i.zoom-a),m=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(m,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(g));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),g=t.Point.convert(e.offset),m=a.centerPoint.add(g),v=a.pointLocation(m),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,O=function(){return 0},I=function(t){return Math.exp(D*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),m=a.centerPoint.add(g));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,m),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},bi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},bi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},wi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},wi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ti={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},ki=t.window.HTMLImageElement,Ai=t.window.HTMLElement,Mi=t.window.ImageBitmap,Si={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ei=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Si,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ai))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof ki||Mi&&r instanceof Mi){var c=t.browser.getImageData(r),u=c.width,f=c.height,h=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,g=r.data,m=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(g)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:m}),m.onAdd&&m.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof ki||Mi&&r instanceof Mi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof ki||Mi&&r instanceof Mi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new _n(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1){r[e].onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Li(this._canvasContainer),Li(this._controlContainer),Li(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(xi);function Li(t){t.parentNode&&t.parentNode.removeChild(t)}var Ci={showCompass:!0,showZoom:!0,visualizePitch:!1},Pi=function(e){var n=this;this.options=t.extend({},Ci,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Pi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Pi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Pi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ii(this._map,this._compass,this.options.visualizePitch)),this._container},Pi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Pi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Pi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ii=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Xn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Zn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Oi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ii.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var zi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Di(t,e,r){var n=t.classList;for(var i in zi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Ri,Fi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<f.length;u+=1){var h=f[u],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(g);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"opacity\",\"0.25\"),m.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),m.appendChild(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(m),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Di(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,zi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Bi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Ni=0,ji=!1,Ui=function(e){function n(r){e.call(this),this.options=t.extend({},Bi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Ri?n(Ri):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Ri=\"denied\"!==t.state,n(Ri)})):(Ri=!!t.window.navigator.geolocation,n(Ri)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ni=0,ji=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ni--,ji=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:\"metric\"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Hi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?[\"top\"]:a.y>this._map.transform.height-u?[\"bottom\"]:[],a.x<c/2?l.push(\"left\"):a.x>this._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Zi})),r}))},{}],240:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],241:[function(t,e,r){\"use strict\";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return\"altKey\"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),\"shiftKey\"in t&&(e=e||t.shiftKey!==o.shift,o.shift=!!t.shiftKey),\"ctrlKey\"in t&&(e=e||t.ctrlKey!==o.control,o.control=!!t.ctrlKey),\"metaKey\"in t&&(e=e||t.metaKey!==o.meta,o.meta=!!t.metaKey),e}function c(t,s){var c=n.x(s),u=n.y(s);\"buttons\"in s&&(t=0|s.buttons),(t!==r||c!==i||u!==a||l(s))&&(r=0|t,i=c||0,a=u||0,e&&e(r,i,a,o))}function u(t){c(0,t)}function f(){(r||i||a||o.shift||o.alt||o.meta||o.control)&&(i=a=0,r=0,o.shift=o.alt=o.control=o.meta=!1,e&&e(0,0,0,o))}function h(t){l(t)&&e&&e(r,i,a,o)}function p(t){0===n.buttons(t)?c(0,t):c(r,t)}function d(t){c(r|n.buttons(t),t)}function g(t){c(r&~n.buttons(t),t)}function m(){s||(s=!0,t.addEventListener(\"mousemove\",p),t.addEventListener(\"mousedown\",d),t.addEventListener(\"mouseup\",g),t.addEventListener(\"mouseleave\",u),t.addEventListener(\"mouseenter\",u),t.addEventListener(\"mouseout\",u),t.addEventListener(\"mouseover\",u),t.addEventListener(\"blur\",f),t.addEventListener(\"keyup\",h),t.addEventListener(\"keydown\",h),t.addEventListener(\"keypress\",h),t!==window&&(window.addEventListener(\"blur\",f),window.addEventListener(\"keyup\",h),window.addEventListener(\"keydown\",h),window.addEventListener(\"keypress\",h)))}m();var v={element:t};return Object.defineProperties(v,{enabled:{get:function(){return s},set:function(e){e?m():function(){if(!s)return;s=!1,t.removeEventListener(\"mousemove\",p),t.removeEventListener(\"mousedown\",d),t.removeEventListener(\"mouseup\",g),t.removeEventListener(\"mouseleave\",u),t.removeEventListener(\"mouseenter\",u),t.removeEventListener(\"mouseout\",u),t.removeEventListener(\"mouseover\",u),t.removeEventListener(\"blur\",f),t.removeEventListener(\"keyup\",h),t.removeEventListener(\"keydown\",h),t.removeEventListener(\"keypress\",h),t!==window&&(window.removeEventListener(\"blur\",f),window.removeEventListener(\"keyup\",h),window.removeEventListener(\"keydown\",h),window.removeEventListener(\"keypress\",h))}()},enumerable:!0},buttons:{get:function(){return r},enumerable:!0},x:{get:function(){return i},enumerable:!0},y:{get:function(){return a},enumerable:!0},mods:{get:function(){return o},enumerable:!0}}),v};var n=t(\"mouse-event\")},{\"mouse-event\":243}],242:[function(t,e,r){var n={left:0,top:0};e.exports=function(t,e,r){e=e||t.currentTarget||t.srcElement,Array.isArray(r)||(r=[0,0]);var i=t.clientX||0,a=t.clientY||0,o=(s=e,s===window||s===document||s===document.body?n:s.getBoundingClientRect());var s;return r[0]=i-o.left,r[1]=a-o.top,r}},{}],243:[function(t,e,r){\"use strict\";function n(t){return t.target||t.srcElement||window}r.buttons=function(t){if(\"object\"==typeof t){if(\"buttons\"in t)return t.buttons;if(\"which\"in t){if(2===(e=t.which))return 4;if(3===e)return 2;if(e>0)return 1<<e-1}else if(\"button\"in t){var e;if(1===(e=t.button))return 4;if(2===e)return 2;if(e>=0)return 1<<e}}return 0},r.element=n,r.x=function(t){if(\"object\"==typeof t){if(\"offsetX\"in t)return t.offsetX;var e=n(t).getBoundingClientRect();return t.clientX-e.left}return 0},r.y=function(t){if(\"object\"==typeof t){if(\"offsetY\"in t)return t.offsetY;var e=n(t).getBoundingClientRect();return t.clientY-e.top}return 0}},{}],244:[function(t,e,r){\"use strict\";var n=t(\"to-px\");e.exports=function(t,e,r){\"function\"==typeof t&&(r=!!e,e=t,t=window);var i=n(\"ex\",t),a=function(t){r&&t.preventDefault();var n=t.deltaX||0,a=t.deltaY||0,o=t.deltaZ||0,s=1;switch(t.deltaMode){case 1:s=i;break;case 2:s=window.innerHeight}if(a*=s,o*=s,(n*=s)||a||o)return e(n,a,o,t)};return t.addEventListener(\"wheel\",a),a}},{\"to-px\":314}],245:[function(t,e,r){(function(t,r){(function(){\n",
+       "/*! Native Promise Only\n",
+       "    v0.8.1 (c) Kyle Simpson\n",
+       "    MIT License: http://getify.mit-license.org\n",
+       "*/\n",
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+       "/*\n",
+       "object-assign\n",
+       "(c) Sindre Sorhus\n",
+       "@license MIT\n",
+       "*/\n",
+       "\"use strict\";var n=Object.getOwnPropertySymbols,i=Object.prototype.hasOwnProperty,a=Object.prototype.propertyIsEnumerable;function o(t){if(null==t)throw new TypeError(\"Object.assign cannot be called with null or undefined\");return Object(t)}e.exports=function(){try{if(!Object.assign)return!1;var t=new String(\"abc\");if(t[5]=\"de\",\"5\"===Object.getOwnPropertyNames(t)[0])return!1;for(var e={},r=0;r<10;r++)e[\"_\"+String.fromCharCode(r)]=r;if(\"0123456789\"!==Object.getOwnPropertyNames(e).map((function(t){return e[t]})).join(\"\"))return!1;var n={};return\"abcdefghijklmnopqrst\".split(\"\").forEach((function(t){n[t]=t})),\"abcdefghijklmnopqrst\"===Object.keys(Object.assign({},n)).join(\"\")}catch(t){return!1}}()?Object.assign:function(t,e){for(var r,s,l=o(t),c=1;c<arguments.length;c++){for(var u in r=Object(arguments[c]))i.call(r,u)&&(l[u]=r[u]);if(n){s=n(r);for(var f=0;f<s.length;f++)a.call(r,s[f])&&(l[s[f]]=r[s[f]])}}return l}},{}],248:[function(t,e,r){\"use strict\";function n(t,e){if(\"string\"!=typeof t)return[t];var r=[t];\"string\"==typeof e||Array.isArray(e)?e={brackets:e}:e||(e={});var n=e.brackets?Array.isArray(e.brackets)?e.brackets:[e.brackets]:[\"{}\",\"[]\",\"()\"],i=e.escape||\"___\",a=!!e.flat;n.forEach((function(t){var e=new RegExp([\"\\\\\",t[0],\"[^\\\\\",t[0],\"\\\\\",t[1],\"]*\\\\\",t[1]].join(\"\")),n=[];function a(e,a,o){var s=r.push(e.slice(t[0].length,-t[1].length))-1;return n.push(s),i+s+i}r.forEach((function(t,n){for(var i,o=0;t!=i;)if(i=t,t=t.replace(e,a),o++>1e4)throw Error(\"References have circular dependency. 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+       "/*\n",
+       " * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
+       " * @license MIT\n",
+       " * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
+       " */\n",
+       "var n,i=t(\"./lib/build-log\"),a=t(\"./lib/epsilon\"),o=t(\"./lib/intersecter\"),s=t(\"./lib/segment-chainer\"),l=t(\"./lib/segment-selector\"),c=t(\"./lib/geojson\"),u=!1,f=a();function h(t,e,r){var i=n.segments(t),a=n.segments(e),o=r(n.combine(i,a));return n.polygon(o)}n={buildLog:function(t){return!0===t?u=i():!1===t&&(u=!1),!1!==u&&u.list},epsilon:function(t){return f.epsilon(t)},segments:function(t){var e=o(!0,f,u);return 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r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var u=[];function f(t){var e=[c(t.region,!1)];u.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return c(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return u.length<=0?{type:\"Polygon\",coordinates:[]}:1==u.length?{type:\"Polygon\",coordinates:u[0]}:{type:\"MultiPolygon\",coordinates:u}}};e.exports=n},{}],258:[function(t,e,r){var n=t(\"./linked-list\");e.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return function(t,r,n,i,a,o){var s=e.pointsCompare(r,a);return 0!==s?s:e.pointsSame(n,o)?0:t!==i?t?1:-1:e.pointAboveOrOnLine(n,i?a:o,i?o:a)?1:-1}(t.isStart,t.pt,r,n.isStart,n.pt,n.other.pt)<0}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return(n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,c,u);if(!1===f){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var h=e.pointsSame(o,c),p=e.pointsSame(s,u);if(h&&p)return n;var d=!h&&e.pointBetween(o,c,u),g=!p&&e.pointBetween(s,c,u);if(h)return g?l(n,s):l(t,u),n;d&&(p||(g?l(n,s):l(t,u)),l(n,o))}else 0===f.alongA&&(-1===f.alongB?l(t,c):0===f.alongB?l(t,f.pt):1===f.alongB&&l(t,u)),0===f.alongB&&(-1===f.alongA?l(n,o):0===f.alongA?l(n,f.pt):1===f.alongA&&l(n,s));return!1}for(var f=[];!a.isEmpty();){var h=a.getHead();if(r&&r.vert(h.pt[0]),h.isStart){r&&r.segmentNew(h.seg,h.primary);var p=c(h),d=p.before?p.before.ev:null,g=p.after?p.after.ev:null;function m(){if(d){var t=u(h,d);if(t)return t}return!!g&&u(h,g)}r&&r.tempStatus(h.seg,!!d&&d.seg,!!g&&g.seg);var v,y=m();if(y){var x;if(t)(x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else y.seg.otherFill=h.seg.myFill;r&&r.segmentUpdate(y.seg),h.other.remove(),h.remove()}if(a.getHead()!==h){r&&r.rewind(h.seg);continue}if(t)x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=g?g.seg.myFill.above:i,h.seg.myFill.above=x?!h.seg.myFill.below:h.seg.myFill.below;else if(null===h.seg.otherFill)v=g?h.primary===g.primary?g.seg.otherFill.above:g.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:v,below:v};r&&r.status(h.seg,!!d&&d.seg,!!g&&g.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&u(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var _=h.seg.myFill;h.seg.myFill=h.seg.otherFill,h.seg.otherFill=_}f.push(h.seg)}a.getHead().remove()}return r&&r.done(),f}return t?{addRegion:function(t){for(var n,i,a,o=t[t.length-1],l=0;l<t.length;l++){n=o,o=t[l];var c=e.pointsCompare(n,o);0!==c&&s((i=c<0?n:o,a=c<0?o:n,{id:r?r.segmentId():-1,start:i,end:a,myFill:{above:null,below:null},otherFill:null}),!0)}},calculate:function(t){return c(t,!1)}}:{calculate:function(t,e,r,n){return t.forEach((function(t){s(i(t.start,t.end,t),!0)})),r.forEach((function(t){s(i(t.start,t.end,t),!1)})),c(e,n)}}}},{\"./linked-list\":259}],259:[function(t,e,r){e.exports={create:function(){var t={root:{root:!0,next:null},exists:function(e){return null!==e&&e!==t.root},isEmpty:function(){return null===t.root.next},getHead:function(){return t.root.next},insertBefore:function(e,r){for(var n=t.root,i=t.root.next;null!==i;){if(r(i))return e.prev=i.prev,e.next=i,i.prev.next=e,void(i.prev=e);n=i,i=i.next}n.next=e,e.prev=n,e.next=null},findTransition:function(e){for(var r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},{}],260:[function(t,e,r){e.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},c=s,u=0;u<n.length;u++){var f=(m=n[u])[0],h=(m[1],m[m.length-1]);m[m.length-2];if(e.pointsSame(f,a)){if(k(u,!0,!0))break}else if(e.pointsSame(f,o)){if(k(u,!0,!1))break}else if(e.pointsSame(h,a)){if(k(u,!1,!0))break}else if(e.pointsSame(h,o)&&k(u,!1,!1))break}if(c===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(c===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,g=s.matches_head,m=n[p],v=g?m[0]:m[m.length-1],y=g?m[1]:m[m.length-2],x=g?m[m.length-1]:m[0],b=g?m[m.length-2]:m[1];return e.pointsCollinear(y,v,d)&&(g?(r&&r.chainRemoveHead(s.index,d),m.shift()):(r&&r.chainRemoveTail(s.index,d),m.pop()),v=y),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(b,x,v)&&(g?(r&&r.chainRemoveTail(s.index,v),m.pop()):(r&&r.chainRemoveHead(s.index,v),m.shift())),r&&r.chainClose(s.index),void i.push(m)):void(g?(r&&r.chainAddHead(s.index,d),m.unshift(d)):(r&&r.chainAddTail(s.index,d),m.push(d)))}var _=s.index,w=l.index;r&&r.chainConnect(_,w);var T=n[_].length<n[w].length;s.matches_head?l.matches_head?T?(A(_),M(_,w)):(A(w),M(w,_)):M(w,_):l.matches_head?M(_,w):T?(A(_),M(w,_)):(A(w),M(_,w))}function k(t,e,r){return c.index=t,c.matches_head=e,c.matches_pt1=r,c===s?(c=l,!1):(c=null,!0)}function A(t){r&&r.chainReverse(t),n[t].reverse()}function M(t,i){var a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},{}],261:[function(t,e,r){function n(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var i={union:function(t,e){return n(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],e)},intersect:function(t,e){return n(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],e)},difference:function(t,e){return n(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],e)},differenceRev:function(t,e){return n(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],e)},xor:function(t,e){return n(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],e)}};e.exports=i},{}],262:[function(t,e,r){\"use strict\";var n=t(\"stream\").Transform,i=t(\"stream-parser\");function a(){n.call(this,{readableObjectMode:!0})}function o(t,e,r){Error.call(this),Error.captureStackTrace(this,this.constructor),this.name=this.constructor.name,this.message=t,e&&(this.code=e),r&&(this.statusCode=r)}a.prototype=Object.create(n.prototype),a.prototype.constructor=a,i(a.prototype),r.ParserStream=a,r.sliceEq=function(t,e,r){for(var n=e,i=0;i<r.length;)if(t[n++]!==r[i++])return!1;return!0},r.str2arr=function(t,e){var r=[],n=0;if(e&&\"hex\"===e)for(;n<t.length;)r.push(parseInt(t.slice(n,n+2),16)),n+=2;else for(;n<t.length;n++)r.push(255&t.charCodeAt(n));return r},r.readUInt16LE=function(t,e){return t[e]|t[e+1]<<8},r.readUInt16BE=function(t,e){return t[e+1]|t[e]<<8},r.readUInt32LE=function(t,e){return t[e]|t[e+1]<<8|t[e+2]<<16|16777216*t[e+3]},r.readUInt32BE=function(t,e){return t[e+3]|t[e+2]<<8|t[e+1]<<16|16777216*t[e]},o.prototype=Object.create(Error.prototype),o.prototype.constructor=o,r.ProbeError=o},{stream:285,\"stream-parser\":301}],263:[function(t,e,r){\"use strict\";function n(t,e){var r=new Error(t);return r.code=e,r}function i(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function a(t,e,r){this.input=t.subarray(e,r),this.start=e;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if(\"II*\\0\"!==i&&\"MM\\0*\"!==i)throw n(\"invalid TIFF signature\",\"EBADDATA\");this.big_endian=\"M\"===i[0]}a.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var e=this.input;if(t+4>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?16777216*e[t]+65536*e[t+1]+256*e[t+2]+e[t+3]:e[t]+256*e[t+1]+65536*e[t+2]+16777216*e[t+3]},a.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},a.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;o<a;o++){var s=this.read_uint16(e),l=this.read_uint16(e+2),c=this.read_uint32(e+4),u=this.exif_format_length(l),f=c*u,h=f<=4?e+8:this.read_uint32(e+8),p=!1;if(h+f>this.input.length)throw n(\"unexpected EOF\",\"EBADDATA\");for(var d=[],g=h,m=0;m<c;m++,g+=u){var v=this.exif_format_read(l,g);if(null===v){d=null;break}d.push(v)}if(Array.isArray(d)&&2===l&&(d=i(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],264:[function(t,e,r){\"use strict\";var n=t(\"./common\").readUInt16BE,i=t(\"./common\").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case\"ispe\":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case\"irot\":e.transforms.push({type:\"irot\",value:3&n.data[0]});break;case\"imir\":e.transforms.push({type:\"imir\",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;c<o;c++){var u=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),g=s(t,l+r,i);e.item_loc[u]={length:g,offset:d+h}}l+=p*(r+i)}}function c(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if(\"infe\"===s.boxtype){for(var l=n(s.data,4),c=\"\",u=8;u<s.data.length&&s.data[u];u++)c+=String.fromCharCode(s.data[u]);e.item_inf[c]=l}i=s.end}}function u(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;\"ipco\"===n.boxtype&&o(n.data,e),r=n.end}}e.exports.unbox=a,e.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;\"iprp\"===n.boxtype&&u(n.data,e),\"iloc\"===n.boxtype&&l(n.data,e),\"iinf\"===n.boxtype&&c(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(r=e.sizes,n=r.reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(\"imir\"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),\"irot\"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return e.item_inf.Exif&&(f=e.item_loc[e.item_inf.Exif]),{width:o.width,height:o.height,orientation:e.transforms.length?s:null,variants:e.sizes,exif_location:f}}},e.exports.getMimeType=function(t){var e=String.fromCharCode.apply(null,t.slice(0,4)),r={};r[e]=!0;for(var 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n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt16LE,o=n(\"GIF87a\"),s=n(\"GIF89a\");e.exports=function(t){if(!(t.length<10)&&(i(t,0,o)||i(t,0,s)))return{width:a(t,6),height:a(t,8),type:\"gif\",mime:\"image/gif\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":262}],268:[function(t,e,r){\"use strict\";var n=t(\"../common\").readUInt16LE;e.exports=function(t){var e=n(t,0),r=n(t,2),i=n(t,4);if(0===e&&1===r&&i){for(var a=[],o={width:0,height:0},s=0;s<i;s++){var l=t[6+16*s]||256,c=t[6+16*s+1]||256,u={width:l,height:c};a.push(u),(l>o.width||c>o.height)&&(o=u)}return{width:o.width,height:o.height,variants:a,type:\"ico\",mime:\"image/x-icon\",wUnits:\"px\",hUnits:\"px\"}}}},{\"../common\":262}],269:[function(t,e,r){\"use strict\";var n=t(\"../common\").readUInt16BE,i=t(\"../common\").str2arr,a=t(\"../common\").sliceEq,o=t(\"../exif_utils\"),s=i(\"Exif\\0\\0\");e.exports=function(t){if(!(t.length<2)&&255===t[0]&&216===t[1])for(var 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n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt32BE,o=n(\"8BPS\\0\\x01\");e.exports=function(t){if(!(t.length<22)&&i(t,0,o))return{width:a(t,18),height:a(t,14),type:\"psd\",mime:\"image/vnd.adobe.photoshop\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":262}],272:[function(t,e,r){\"use strict\";function n(t){return\"number\"==typeof t&&isFinite(t)&&t>0}var i=/<[-_.:a-zA-Z0-9][^>]*>/,a=/^<([-_.:a-zA-Z0-9]+:)?svg\\s/,o=/[^-]\\bwidth=\"([^%]+?)\"|[^-]\\bwidth='([^%]+?)'/,s=/\\bheight=\"([^%]+?)\"|\\bheight='([^%]+?)'/,l=/\\bview[bB]ox=\"(.+?)\"|\\bview[bB]ox='(.+?)'/,c=/in$|mm$|cm$|pt$|pc$|px$|em$|ex$/;function u(t){return c.test(t)?t.match(c)[0]:\"px\"}e.exports=function(t){if(function(t){var e,r=0,n=t.length;for(239===t[0]&&187===t[1]&&191===t[2]&&(r=3);r<n&&(32===(e=t[r])||9===e||13===e||10===e);)r++;return r!==n&&60===t[r]}(t)){for(var e=\"\",r=0;r<t.length;r++)e+=String.fromCharCode(t[r]);var c=(e.match(i)||[\"\"])[0];if(a.test(c)){var 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h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},{\"array-bounds\":71,\"color-normalize\":89,\"flatten-vertex-data\":191,\"object-assign\":247,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],280:[function(t,e,r){\"use strict\";var n=t(\"color-normalize\"),i=t(\"array-bounds\"),a=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),f=t(\"to-float32\"),h=f.float32,p=f.fract32,d=t(\"es6-weak-map\"),g=t(\"parse-rect\"),m=t(\"array-find-index\");function v(t,e){if(!(this instanceof v))return new v(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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C=y[2*S],P=y[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=y[2*M],P=y[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var I=Object.keys(A).map(Number).sort((function(t,e){return t-e})),O=[],z=0,D=null!=d.hole?d.hole[0]:null;if(null!=D){var R=m(I,(function(t){return t>=D}));(I=I.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*z,2*I[t]).concat(D?k.slice(2*D):[]),r=(d.hole||[]).map((function(e){return e-D+(I[t]-z)})),n=c(e,r);n=n.map((function(e){return e+z+(e+z<I[t]?0:D-I[t])})),O.push.apply(O,n),z=I[t]+1},B=0;B<I.length;B++)F(B);for(var N=0,j=O.length;N<j;N++)null!=A[O[N]]&&(O[N]=A[O[N]]);d.triangles=O}else{for(var U=c(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(y);u(q,2,T);var G=new 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*v.dashMult*.5;ot<st;++ot)$[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:$,width:$.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ct=t.color;ct||(ct=\"transparent\");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&\"number\"!=typeof ct[0]){for(var ft=0;ft<lt;ft++){var ht=n(ct[ft],\"uint8\");ut.set(ht,4*ft)}ut.set(n(ct[0],\"uint8\"),4*lt)}else for(var pt=n(ct,\"uint8\"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ut})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var y=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&y.push(this.passes[x]);return this.passes=y,this}},v.prototype.destroy=function(){return 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o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return 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mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=f({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),m&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),g=0;g<r.length;g++){var m=r[g];d[m]=p?p[m]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=f({},b.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=g(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=v.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:v.fract32(t,p),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var f={data:a[u],type:\"uint8\",usage:\"static\"};i[u]?i[u](f):i[u]=o.buffer(f),i[u].data=a[u]}}else{i[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);A({data:M,usage:\"dynamic\"})}if(x){var E,L=n,C=L.count,P=L.color,I=L.borderColor,O=L.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=h[4*D],E[8*z+1]=h[4*D+1],E[8*z+2]=h[4*D+2],E[8*z+3]=h[4*D+3];var R=I[z];E[8*z+4]=h[4*R],E[8*z+5]=h[4*R+1],E[8*z+6]=h[4*R+2],E[8*z+7]=h[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}O({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)a.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)a.push(t.subarray(l,l+4));t=a}for(var u=0;u<t.length;u++){var f=t[u];f=s(f,\"uint8\");var h=c(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[u]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=t(\"object-assign\");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{\"@plotly/point-cluster\":59,\"array-bounds\":71,\"color-id\":87,\"color-normalize\":89,\"flatten-vertex-data\":191,glslify:227,\"is-iexplorer\":233,\"object-assign\":247,\"parse-rect\":249,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],282:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"pick-by-alias\"),a=t(\"array-bounds\"),o=t(\"raf\"),s=t(\"array-range\"),l=t(\"parse-rect\"),c=t(\"flatten-vertex-data\");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x+s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y+l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency opaque\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",borderColor:\"borderColors borderColor bordercolor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range ranges databox dataBox\",viewport:\"viewport viewBox viewbox\",domain:\"domain domains area areas\",padding:\"pad padding paddings pads margin margins\",transpose:\"transpose transposed\",diagonal:\"diagonal diag showDiagonal\",upper:\"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf\",lower:\"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower\"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var g=s.columns,m=s.count,v=s.viewport.width,y=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=v/g,w=y/g;s.passes=[];for(var T=0;T<g;T++)for(var k=0;k<g;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:m,stride:g},y:{buffer:s.buffer,offset:T,count:m,stride:g}}:M.positions={x:{buffer:s.buffer,offset:k*m,count:m},y:{buffer:s.buffer,offset:T*m,count:m}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],I=E[3];M.viewport=[x+L*v+S[0],b+C*y+S[1],x+P*v-S[2],b+I*y-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],f=u.passes,h=u.passOffset;f=f.map((function(t,e){n[h+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},{\"../main\":346,\"object-assign\":247}],335:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\"../main\":346,\"object-assign\":247}],339:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":346,\"object-assign\":247}],340:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return 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9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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r,s,l=o(t,e),c=l.on,u=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(!c.length&&!u.length)return;for(r=0;r<c.length;r++)(s=a(t.layout,\"annotations\",h[c[r]])).modifyItem(\"visible\",!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r<u.length;r++)(s=a(t.layout,\"annotations\",h[u[r]])).modifyItem(\"visible\",!1),n.extendFlat(f,s.getUpdateObj());return i.call(\"update\",t,{},f)}}},{\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../../registry\":638}],352:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\");e.exports=function(t,e,r,a){a(\"opacity\");var o=a(\"bgcolor\"),s=a(\"bordercolor\"),l=i.opacity(s);a(\"borderpad\");var c=a(\"borderwidth\"),u=a(\"showarrow\");if(a(\"text\",u?\" \":r._dfltTitle.annotation),a(\"textangle\"),n.coerceFont(a,\"font\",r.font),a(\"width\"),a(\"align\"),a(\"height\")&&a(\"valign\"),u){var f,h,p=a(\"arrowside\");-1!==p.indexOf(\"end\")&&(f=a(\"arrowhead\"),h=a(\"arrowsize\")),-1!==p.indexOf(\"start\")&&(a(\"startarrowhead\",f),a(\"startarrowsize\",h)),a(\"arrowcolor\",l?e.bordercolor:i.defaultLine),a(\"arrowwidth\",2*(l&&c||1)),a(\"standoff\"),a(\"startstandoff\")}var d=a(\"hovertext\"),g=r.hoverlabel||{};if(d){var m=a(\"hoverlabel.bgcolor\",g.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a(\"hoverlabel.bordercolor\",g.bordercolor||i.contrast(m));n.coerceFont(a,\"hoverlabel.font\",{family:g.font.family,size:g.font.size,color:g.font.color||v})}a(\"captureevents\",!!d)}},{\"../../lib\":503,\"../color\":366}],353:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib/to_log_range\");e.exports=function(t,e,r,a){e=e||{};var o=\"log\"===r&&\"linear\"===e.type,s=\"linear\"===r&&\"log\"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<u.length;h++)l=u[h],c=\"annotations[\"+h+\"].\",l[f+\"ref\"]===e._id&&p(f),l[\"a\"+f+\"ref\"]===e._id&&p(\"a\"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{\"../../lib/to_log_range\":531,\"fast-isnumeric\":190}],354:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(\"visible\"),c=a(\"clicktoshow\");if(l||c){o(t,e,r,a);for(var u=e.showarrow,f=[\"x\",\"y\"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var g=f[d],m=i.coerceRef(t,e,p,g,\"\",\"paper\");if(\"paper\"!==m)i.getFromId(p,m)._annIndices.push(e._index);if(i.coercePosition(e,p,a,m,g,.5),u){var v=\"a\"+g,y=i.coerceRef(t,e,p,v,\"pixel\",[\"pixel\",\"paper\"]);\"pixel\"!==y&&y!==m&&(y=e[v]=\"pixel\");var x=\"pixel\"===y?h[d]:.4;i.coercePosition(e,p,a,y,v,x)}a(g+\"anchor\"),a(g+\"shift\")}if(n.noneOrAll(t,e,[\"x\",\"y\"]),u&&n.noneOrAll(t,e,[\"ax\",\"ay\"]),c){var b=a(\"xclick\"),_=a(\"yclick\");e._xclick=void 0===b?e.x:i.cleanPosition(b,p,e.xref),e._yclick=void 0===_?e.y:i.cleanPosition(_,p,e.yref)}}}e.exports=function(t,e){a(t,e,{name:\"annotations\",handleItemDefaults:l})}},{\"../../lib\":503,\"../../plots/array_container_defaults\":549,\"../../plots/cartesian/axes\":554,\"./attributes\":349,\"./common_defaults\":352}],355:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../registry\"),a=t(\"../../plots/plots\"),o=t(\"../../lib\"),s=o.strTranslate,l=t(\"../../plots/cartesian/axes\"),c=t(\"../color\"),u=t(\"../drawing\"),f=t(\"../fx\"),h=t(\"../../lib/svg_text_utils\"),p=t(\"../../lib/setcursor\"),d=t(\"../dragelement\"),g=t(\"../../plot_api/plot_template\").arrayEditor,m=t(\"./draw_arrow_head\");function v(t,e){var r=t._fullLayout.annotations[e]||{},n=l.getFromId(t,r.xref),i=l.getFromId(t,r.yref);n&&n.setScale(),i&&i.setScale(),x(t,r,e,!1,n,i)}function y(t,e,r,n,i){var a=i[r],o=i[r+\"ref\"],s=-1!==r.indexOf(\"y\"),c=\"domain\"===l.getRefType(o),u=s?n.h:n.w;return t?c?a+(s?-e:e)/t._length:t.p2r(t.r2p(a)+e):a+(s?-e:e)/u}function x(t,e,r,a,v,x){var b,_,w=t._fullLayout,T=t._fullLayout._size,k=t._context.edits;a?(b=\"annotation-\"+a,_=a+\".annotations\"):(b=\"annotation\",_=\"annotations\");var A=g(t.layout,_,e),M=A.modifyBase,S=A.modifyItem,E=A.getUpdateObj;w._infolayer.selectAll(\".\"+b+'[data-index=\"'+r+'\"]').remove();var L=\"clip\"+w._uid+\"_ann\"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},P=+e.textangle||0,I=w._infolayer.append(\"g\").classed(b,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),O=I.append(\"g\").classed(\"annotation-text-g\",!0),z=k[e.showarrow?\"annotationTail\":\"annotationPosition\"],D=e.captureevents||k.annotationText||z,R=O.append(\"g\").style(\"pointer-events\",D?\"all\":null).call(p,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",Y(n.event))}));e.hovertext&&R.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+L).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",L).append(\"rect\"),V.exit().remove();var H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(q);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(W).on(\"edit\",(function(r){e.text=r,this.call(W),S(\"text\",r),v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(W)}else n.selectAll(\"#\"+L).remove();function Y(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,H).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),f=!n.empty(),g=u.bBox((f?n:G).node()),b=g.width,_=g.height,A=e.width||b,D=e.height||_,B=Math.round(A+2*N),H=Math.round(D+2*N);function q(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,X=[\"x\",\"y\"],Z=0;Z<X.length;Z++){var J,K,Q,$,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:v,y:x}[et],at=(P+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=H*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+\"anchor\"],ut=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.5}else{var dt=\"domain\"===ht;\"x\"===et?(Q=e[et],J=dt?it._offset+it._length*Q:J=T.l+T.w*Q):(Q=1-e[et],J=dt?it._offset+it._length*Q:J=T.t+T.h*Q),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var gt=e[\"a\"+et];if(tt=ot*q(.5,e.xanchor)-st*q(.5,e.yanchor),nt===rt){var mt=l.getRefType(nt);\"domain\"===mt?(\"y\"===et&&(gt=1-gt),ft.tail=it._offset+it._length*gt):\"paper\"===mt?\"y\"===et?(gt=1-gt,ft.tail=T.t+T.h*gt):ft.tail=T.l+T.w*gt:ft.tail=it._offset+it.r2p(gt),K=tt}else ft.tail=J+gt,K=tt+gt;ft.text=ft.tail+tt;var vt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),\"pixel\"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*q($,ct),ft.text=J+tt;ft.text+=ut,tt+=ut,K+=ut,e[\"_\"+et+\"padplus\"]=lt/2+K,e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(W)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(D-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(u.setClipUrl,U?L:null,t);else{var wt=N+_t-g.top,Tt=N+bt-g.left;G.call(h.positionText,Tt,wt).call(u.setClipUrl,U?L:null,t)}V.select(\"rect\").call(u.setRect,N,N,A,D),j.call(u.setRect,F/2,F/2,B-F,H-F),R.call(u.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/2)),O.attr({transform:\"rotate(\"+P+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){I.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,g=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,g,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),z=+j.attr(\"height\"),D=g-.5*L,F=D+L,B=b-.5*z,N=B+z,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=I.append(\"g\").style({opacity:c.opacity(H)}).classed(\"annotation-arrow-g\",!0),Y=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(c.stroke,c.rgb(H));if(m(Y,q,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var J,K,Q=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-W)+\",\"+(p-X),transform:s(W,X)}).style(\"stroke-width\",V+6+\"px\").call(c.stroke,\"rgba(0,0,0,0)\").call(c.fill,\"rgba(0,0,0,0)\");d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);J=t.x,K=t.y,v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S(\"x\",y(v,t,\"x\",T,e)),S(\"y\",y(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",y(v,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",y(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),O.attr({transform:\"rotate(\"+P+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};if(e.showarrow&&At(0,0),z)d.init({element:R.node(),gd:t,prepFn:function(){kt=O.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",y(v,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",y(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(v)i=y(v,t,\"x\",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=y(x,r,\"y\",T,e);else{var u=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(f-r/T.h,u,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),v&&x||(n=d.getCursor(v?.5:i,x?.5:o,e.xanchor,e.yanchor))}O.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",Y(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:x}},{\"../../lib\":503,\"../../lib/setcursor\":524,\"../../lib/svg_text_utils\":529,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/axes\":554,\"../../plots/plots\":619,\"../../registry\":638,\"../color\":366,\"../dragelement\":385,\"../drawing\":388,\"../fx\":406,\"./draw_arrow_head\":356,\"@plotly/d3\":58}],356:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../color\"),a=t(\"./arrow_paths\"),o=t(\"../../lib\"),s=o.strScale,l=o.strRotate,c=o.strTranslate;e.exports=function(t,e,r){var o,u,f,h,p=t.node(),d=a[r.arrowhead||0],g=a[r.startarrowhead||0],m=(r.arrowwidth||1)*(r.arrowsize||1),v=(r.arrowwidth||1)*(r.startarrowsize||1),y=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*m+r.standoff,_=g.backoff*v+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},u={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-u.x,T=o.y-u.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void z();if(b){if(b*b>w*w+T*T)return void z();var k=b*Math.cos(f),A=b*Math.sin(f);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(_){if(_*_>w*w+T*T)return void z();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),L=\"\";if(E<b+_)return void z();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L=\"0px,\"+_+\"px,\";var 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n=t(\"./draw\"),i=t(\"./click\");e.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),includeBasePlot:t(\"../../plots/cartesian/include_components\")(\"annotations\"),calcAutorange:t(\"./calc_autorange\"),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:t(\"./convert_coords\")}},{\"../../plots/cartesian/include_components\":567,\"./attributes\":349,\"./calc_autorange\":350,\"./click\":351,\"./convert_coords\":353,\"./defaults\":354,\"./draw\":355}],358:[function(t,e,r){\"use strict\";var 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c=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}),l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(c=t.offset)})).each((function(t){t.offset-=c})),z(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var P=/<extra>([\\s\\S]*)<\\/extra>/;function I(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,g=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||y.HOVERFONT,k=e.fontSize||y.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),I=A[P+\"Label\"],z=V(r,g),D=z.top,R=z.width,F=z.height,B=void 0!==I&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(B){var N,j,U=!0;for(N=0;N<t.length;N++)if(U&&void 0===t[N].zLabel&&(U=!1),j=t[N].hoverinfo||t[N].trace.hoverinfo){var H=Array.isArray(j)?j:j.split(\"+\");if(-1===H.indexOf(\"all\")&&-1===H.indexOf(a)){B=!1;break}}U&&(B=!1)}var q=d.selectAll(\"g.axistext\").data(B?[0]:[]);if(q.enter().append(\"g\").classed(\"axistext\",!0),q.exit().remove(),q.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),l=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),c=w.bgcolor||p.defaultLine,f=w.bordercolor||p.contrast(c),d=p.contrast(c),g={family:w.font.family||T,size:w.font.size||k,color:w.font.color||d};e.style({fill:c,stroke:f}),l.text(I).call(h.font,g).call(u.positionText,0,0).call(u.convertToTspans,r),t.attr(\"transform\",\"\");var m,v,y=V(r,l.node());if(\"x\"===a){var x=\"top\"===E.side?\"-\":\"\";l.attr(\"text-anchor\",\"middle\").call(u.positionText,0,\"top\"===E.side?D-y.bottom-M-S:D-y.top+M+S),m=E._offset+(A.x0+A.x1)/2,v=L._offset+(\"top\"===E.side?0:L._length);var b=y.width/2+S;m<b?(m=b,e.attr(\"d\",\"M-\"+(b-M)+\",0L-\"+(b-2*M)+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"Z\")):m>i.width-b?(m=i.width-b,e.attr(\"d\",\"M\"+(b-M)+\",0L\"+b+\",\"+x+M+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"H\"+(b-2*M)+\"Z\")):e.attr(\"d\",\"M0,0L\"+M+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+(S+y.width/2)+\"V\"+x+M+\"H-\"+M+\"Z\")}else{var _,C,P;\"right\"===L.side?(_=\"start\",C=1,P=\"\",m=E._offset+E._length):(_=\"end\",C=-1,P=\"-\",m=E._offset),v=L._offset+(A.y0+A.y1)/2,l.attr(\"text-anchor\",_),e.attr(\"d\",\"M0,0L\"+P+M+\",\"+M+\"V\"+(S+y.height/2)+\"h\"+P+(2*S+y.width)+\"V-\"+(S+y.height/2)+\"H\"+P+M+\"V-\"+M+\"Z\");var O,z=y.height/2,R=D-y.top-z,F=\"clip\"+i._uid+\"commonlabel\"+L._id;if(m<y.width+2*S+M){O=\"M-\"+(M+S)+\"-\"+z+\"h-\"+(y.width-S)+\"V\"+z+\"h\"+(y.width-S)+\"Z\";var B=y.width-m+S;u.positionText(l,B,R),\"end\"===_&&l.selectAll(\"tspan\").each((function(){var t=n.select(this),e=h.tester.append(\"text\").text(t.text()).call(h.font,g),i=V(r,e.node());Math.round(i.width)<Math.round(y.width)&&t.attr(\"x\",B-i.width),e.remove()}))}else u.positionText(l,C*(S+M),R),O=null;var N=i._topclips.selectAll(\"#\"+F).data(O?[0]:[]);N.enter().append(\"clipPath\").attr(\"id\",F).append(\"path\"),N.exit().remove(),N.select(\"path\").attr(\"d\",O),h.setClipUrl(l,O?F:null,r)}t.attr(\"transform\",s(m,v))})),v.isUnifiedHover(a)){d.selectAll(\"g.hovertext\").remove();var G=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===G.length)return;var Y=i.hoverlabel,W=Y.font,X={showlegend:!0,legend:{title:{text:I,font:W},font:W,bgcolor:Y.bgcolor,bordercolor:Y.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},Z={};x(X,Z,r._fullData);var J=Z.legend;J.entries=[];for(var K=0;K<G.length;K++){var Q=G[K];if(\"none\"!==Q.hoverinfo){var $=O(Q,!0,a,i,I),tt=$[0],et=$[1];Q.name=et,Q.text=\"\"!==et?et+\" : 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d=t.bgcolor||o,g=p.combine(p.opacity(d)?d:p.defaultLine,f),m=p.combine(p.opacity(o)?o:p.defaultLine,f),v=t.borderColor||p.contrast(g),y=O(t,B,a,i,I,e),x=y[0],b=y[1],w=e.select(\"text.nums\").call(h.font,t.fontFamily||T,t.fontSize||k,t.fontColor||v).text(x).attr(\"data-notex\",1).call(u.positionText,0,0).call(u.convertToTspans,r),A=e.select(\"text.name\"),E=0,L=0;if(b&&b!==x){A.call(h.font,t.fontFamily||T,t.fontSize||k,m).text(b).attr(\"data-notex\",1).call(u.positionText,0,0).call(u.convertToTspans,r);var C=V(r,A.node());E=C.width+2*S,L=C.height+2*S}else A.remove(),e.select(\"rect\").remove();e.select(\"path\").style({fill:g,stroke:v});var P=t.xa._offset+(t.x0+t.x1)/2,z=t.ya._offset+(t.y0+t.y1)/2,N=Math.abs(t.x1-t.x0),j=Math.abs(t.y1-t.y0),U=V(r,w.node()),H=U.width/i._invScaleX,q=U.height/i._invScaleY;t.ty0=(D-U.top)/i._invScaleY,t.bx=H+2*S,t.by=Math.max(q+2*S,L),t.anchor=\"start\",t.txwidth=H,t.tx2width=E,t.offset=0;var 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r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},u.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return c(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},u.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return c(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},u.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom 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n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/pad_attributes\"),a=t(\"../../lib/extend\").extendDeepAll,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/animation_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=t(\"./constants\"),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plot_api/plot_template\":543,\"../../plots/animation_attributes\":548,\"../../plots/font_attributes\":585,\"../../plots/pad_attributes\":618,\"./constants\":460}],460:[function(t,e,r){\"use 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T={y:e.y,b:u.height*g[w],t:u.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*g[b]):(T.x=e.x,T.l=u.outerLength*d[b],T.r=u.outerLength*g[b]),i.autoMargin(t,m(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=f.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),u=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)u+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),u+=h}e.currentvalue.suffix&&(u+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(u).call(c.convertToTspans,e._gd);var g=c.lineCount(l),m=(a.currentValueMaxLines+1-g)*e.currentvalue.font.size*p;return 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t=s(),a=L(t,n.mouse(i)[0]);T(e,r,t,a,!1)}function h(){var t=s();t._dragging=!1,l.call(a.fill,t.bgcolor),o.on(\"mouseup\",null),o.on(\"mousemove\",null),o.on(\"touchend\",null),o.on(\"touchmove\",null),e.emit(\"plotly_sliderend\",{slider:t,step:t.steps[t.active]})}T(e,r,t,c,!0),t._dragging=!0,o.on(\"mousemove\",u),o.on(\"touchmove\",u),o.on(\"mouseup\",h),o.on(\"touchend\",h)}t.on(\"mousedown\",l),t.on(\"touchstart\",l)}function M(t,e){var r=t.selectAll(\"rect.\"+f.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append(\"rect\").classed(f.tickRectClass,!0),r.exit().remove(),r.attr({width:e.tickwidth+\"px\",\"shape-rendering\":\"crispEdges\"}),r.each((function(t,r){var s=r%i.labelStride==0,l=n.select(this);l.attr({height:s?e.ticklen:e.minorticklen}).call(a.fill,e.tickcolor),o.setTranslate(l,E(e,r/(e._stepCount-1))-.5*e.tickwidth,(s?f.tickOffset:f.minorTickOffset)+i.currentValueTotalHeight)}))}function S(t,e,r){for(var 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l=a.selectAll(\"g.\"+f.groupClassName).data(r,v);l.enter().append(\"g\").classed(f.groupClassName,!0),l.exit().each(s).remove();for(var c=0;c<r.length;c++){var u=r[c];y(t,u)}l.each((function(e){var r=n.select(this);!function(t){var e=t._dims;e.labelSteps=[];for(var r=t._stepCount,n=0;n<r;n+=e.labelStride)e.labelSteps.push({fraction:n/(r-1),step:t._visibleSteps[n]})}(e),i.manageCommandObserver(t,e,e._visibleSteps,(function(e){var n=r.data()[0];n.active!==e.index&&(n._dragging||k(t,r,n,e.index,!1,!0))})),function(t,e,r){(r.steps[r.active]||{}).visible||(r.active=r._visibleSteps[0]._index);e.call(x,r).call(P,r).call(w,r).call(M,r).call(C,t,r).call(b,t,r);var n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(S,r,!1),e.call(x,r)}(t,n.select(this),e)}))}}},{\"../../constants/alignment\":471,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plot_api/plot_template\":543,\"../../plots/plots\":619,\"../color\":366,\"../drawing\":388,\"./constants\":460,\"@plotly/d3\":58}],463:[function(t,e,r){\"use strict\";var n=t(\"./constants\");e.exports={moduleType:\"component\",name:n.name,layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),draw:t(\"./draw\")}},{\"./attributes\":459,\"./constants\":460,\"./defaults\":461,\"./draw\":462}],464:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"fast-isnumeric\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../lib\"),l=s.strTranslate,c=t(\"../drawing\"),u=t(\"../color\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"../../constants/interactions\"),p=t(\"../../constants/alignment\").OPPOSITE_SIDE,d=/ [XY][0-9]* /;e.exports={draw:function(t,e,r){var g,m=r.propContainer,v=r.propName,y=r.placeholder,x=r.traceIndex,b=r.avoid||{},_=r.attributes,w=r.transform,T=r.containerGroup,k=t._fullLayout,A=1,M=!1,S=m.title,E=(S&&S.text?S.text:\"\").trim(),L=S&&S.font?S.font:{},C=L.family,P=L.size,I=L.color;\"title.text\"===v?g=\"titleText\":-1!==v.indexOf(\"axis\")?g=\"axisTitleText\":v.indexOf(!0)&&(g=\"colorbarTitleText\");var O=t._context.edits[g];\"\"===E?A=0:E.replace(d,\" % \")===y.replace(d,\" % \")&&(A=.2,M=!0,O||(E=\"\")),r._meta?E=s.templateString(E,r._meta):k._meta&&(E=s.templateString(E,k._meta));var z=E||O;T||(T=s.ensureSingle(k._infolayer,\"g\",\"g-\"+e));var D=T.selectAll(\"text\").data(z?[0]:[]);if(D.enter().append(\"text\"),D.text(E).attr(\"class\",e),D.exit().remove(),!z)return T;function R(t){s.syncOrAsync([F,B],t)}function F(e){var r;return 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n=t(\"../../plots/font_attributes\"),i=t(\"../color/attributes\"),a=t(\"../../lib/extend\").extendFlat,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/pad_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=l(\"button\",{visible:{valType:\"boolean\"},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},args2:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\",dflt:\"\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"updatemenu\",{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:\"boolean\"},type:{valType:\"enumerated\",values:[\"dropdown\",\"buttons\"],dflt:\"dropdown\"},direction:{valType:\"enumerated\",values:[\"left\",\"right\",\"up\",\"down\"],dflt:\"down\"},active:{valType:\"integer\",min:-1,dflt:0},showactive:{valType:\"boolean\",dflt:!0},buttons:c,x:{valType:\"number\",min:-2,max:3,dflt:-.05},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"right\"},y:{valType:\"number\",min:-2,max:3,dflt:1},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},pad:a(s({editType:\"arraydraw\"}),{}),font:n({}),bgcolor:{valType:\"color\"},bordercolor:{valType:\"color\",dflt:i.borderLine},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"arraydraw\"}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plot_api/plot_template\":543,\"../../plots/font_attributes\":585,\"../../plots/pad_attributes\":618,\"../color/attributes\":365}],466:[function(t,e,r){\"use strict\";e.exports={name:\"updatemenus\",containerClassName:\"updatemenu-container\",headerGroupClassName:\"updatemenu-header-group\",headerClassName:\"updatemenu-header\",headerArrowClassName:\"updatemenu-header-arrow\",dropdownButtonGroupClassName:\"updatemenu-dropdown-button-group\",dropdownButtonClassName:\"updatemenu-dropdown-button\",buttonClassName:\"updatemenu-button\",itemRectClassName:\"updatemenu-item-rect\",itemTextClassName:\"updatemenu-item-text\",menuIndexAttrName:\"updatemenu-active-index\",autoMarginIdRoot:\"updatemenu-\",blankHeaderOpts:{label:\"  \"},minWidth:30,minHeight:30,textPadX:24,arrowPadX:16,rx:2,ry:2,textOffsetX:12,textOffsetY:3,arrowOffsetX:4,gapButtonHeader:5,gapButton:2,activeColor:\"#F4FAFF\",hoverColor:\"#F4FAFF\",arrowSymbol:{left:\"\\u25c4\",right:\"\\u25ba\",up:\"\\u25b2\",down:\"\\u25bc\"}}},{}],467:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/array_container_defaults\"),a=t(\"./attributes\"),o=t(\"./constants\").name,s=a.buttons;function l(t,e,r){function o(r,i){return n.coerce(t,e,a,r,i)}o(\"visible\",i(t,e,{name:\"buttons\",handleItemDefaults:c}).length>0)&&(o(\"active\"),o(\"direction\"),o(\"type\"),o(\"showactive\"),o(\"x\"),o(\"y\"),n.noneOrAll(t,e,[\"x\",\"y\"]),o(\"xanchor\"),o(\"yanchor\"),o(\"pad.t\"),o(\"pad.r\"),o(\"pad.b\"),o(\"pad.l\"),n.coerceFont(o,\"font\",r.font),o(\"bgcolor\",r.paper_bgcolor),o(\"bordercolor\"),o(\"borderwidth\"))}function c(t,e){function r(r,i){return n.coerce(t,e,s,r,i)}r(\"visible\",\"skip\"===t.method||Array.isArray(t.args))&&(r(\"method\"),r(\"args\"),r(\"args2\"),r(\"label\"),r(\"execute\"))}e.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},{\"../../lib\":503,\"../../plots/array_container_defaults\":549,\"./attributes\":465,\"./constants\":466}],468:[function(t,e,r){\"use strict\";var 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l=function(t){return-1==+t.attr(f.menuIndexAttrName)}(r)&&\"buttons\"!==o.type?[]:o.buttons,c=\"dropdown\"===o.type?f.dropdownButtonClassName:f.buttonClassName,u=r.selectAll(\"g.\"+c).data(s.filterVisible(l)),h=u.enter().append(\"g\").classed(c,!0),p=u.exit();\"dropdown\"===o.type?(h.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),p.transition().attr(\"opacity\",\"0\").remove()):p.remove();var d=0,m=0,v=o._dims,x=-1!==[\"up\",\"down\"].indexOf(o.direction);\"dropdown\"===o.type&&(x?m=v.headerHeight+f.gapButtonHeader:d=v.headerWidth+f.gapButtonHeader),\"dropdown\"===o.type&&\"up\"===o.direction&&(m=-f.gapButtonHeader+f.gapButton-v.openHeight),\"dropdown\"===o.type&&\"left\"===o.direction&&(d=-f.gapButtonHeader+f.gapButton-v.openWidth);var b={x:v.lx+d+o.pad.l,y:v.ly+m+o.pad.t,yPad:f.gapButton,xPad:f.gapButton,index:0},k={l:b.x+o.borderwidth,t:b.y+o.borderwidth};u.each((function(s,l){var 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h=s.select(\".\"+f.itemTextClassName),p=h.node()&&o.bBox(h.node()).width,d=Math.max(p+f.textPadX,f.minWidth),g=e.font.size*u,m=l.lineCount(h),v=Math.max(g*m,f.minHeight)+f.textOffsetY;v=Math.ceil(v),d=Math.ceil(d),r.widths[a]=d,r.heights[a]=v,r.height1=Math.max(r.height1,v),r.width1=Math.max(r.width1,d),c?(r.totalWidth=Math.max(r.totalWidth,d),r.openWidth=r.totalWidth,r.totalHeight+=v+f.gapButton,r.openHeight+=v+f.gapButton):(r.totalWidth+=d+f.gapButton,r.openWidth+=d+f.gapButton,r.totalHeight=Math.max(r.totalHeight,v),r.openHeight=r.totalHeight)})),c?r.totalHeight-=f.gapButton:r.totalWidth-=f.gapButton,r.headerWidth=r.width1+f.arrowPadX,r.headerHeight=r.height1,\"dropdown\"===e.type&&(c?(r.width1+=f.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=f.arrowPadX),a.remove();var h=r.totalWidth+e.pad.l+e.pad.r,p=r.totalHeight+e.pad.t+e.pad.b,d=t._fullLayout._size;r.lx=d.l+d.w*e.x,r.ly=d.t+d.h*(1-e.y);var 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s(t,e,r){this.gd=t,this.container=e,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll(\"rect.scrollbox-bg\").data([0]),this.bg.exit().on(\".drag\",null).on(\"wheel\",null).remove(),this.bg.enter().append(\"rect\").classed(\"scrollbox-bg\",!0).style(\"pointer-events\",\"all\").attr({opacity:0,x:0,y:0,width:0,height:0})}s.barWidth=2,s.barLength=20,s.barRadius=2,s.barPad=1,s.barColor=\"#808BA4\",s.prototype.enable=function(t,e,r){var o=this.gd._fullLayout,l=o.width,c=o.height;this.position=t;var u,f,h,p,d=this.position.l,g=this.position.w,m=this.position.t,v=this.position.h,y=this.position.direction,x=\"down\"===y,b=\"left\"===y,_=\"up\"===y,w=g,T=v;x||b||\"right\"===y||_||(this.position.direction=\"down\",x=!0),x||_?(f=(u=d)+w,x?(h=m,T=(p=Math.min(h+T,c))-h):T=(p=m+T)-(h=Math.max(p-T,0))):(p=(h=m)+T,b?w=(f=d+w)-(u=Math.max(f-w,0)):(u=d,w=(f=Math.min(u+w,l))-u)),this._box={l:u,t:h,w:w,h:T};var k=g>w,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=m+v;E+M>c&&(E=c-M);var L=this.container.selectAll(\"rect.scrollbar-horizontal\").data(k?[0]:[]);L.exit().on(\".drag\",null).remove(),L.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(i.fill,s.barColor),k?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=v>T,P=s.barWidth+2*s.barPad,I=s.barLength+2*s.barPad,O=d+g,z=m;O+P>l&&(O=l-P);var D=this.container.selectAll(\"rect.scrollbar-vertical\").data(C?[0]:[]);D.exit().on(\".drag\",null).remove(),D.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(i.fill,s.barColor),C?(this.vbar=D.attr({rx:s.barRadius,ry:s.barRadius,x:O,y:z,width:P,height:I}),this._vbarYMin=z+I/2,this._vbarTranslateMax=T-I):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var 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t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):At(t)?(t.tick0=0,r=1,t.dtick=ot(e,r,at)):(t.tick0=0,r=n(10),t.dtick=ot(e,r,$));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&\"string\"!=typeof t.dtick){var f=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(f)}},V.tickIncrement=function(t,e,r,a){var o=r?-1:1;if(i(e))return s.increment(t,o*e);var l=e.charAt(0),c=o*Number(e.substr(1));if(\"M\"===l)return s.incrementMonth(t,c,a);if(\"L\"===l)return Math.log(Math.pow(10,t)+c)/Math.LN10;if(\"D\"===l){var u=\"D2\"===e?it:nt,f=t+.01*o,h=s.roundUp(s.mod(f,1),u,r);return Math.floor(f)+Math.log(n.round(Math.pow(10,h),1))/Math.LN10}throw\"unrecognized dtick \"+String(e)},V.tickFirst=function(t,e){var r=t.r2l||Number,a=s.simpleMap(t.range,r,void 0,void 0,e),o=a[1]<a[0],l=o?Math.floor:Math.ceil,c=X(a)[0],u=t.dtick,f=r(t.tick0);if(i(u)){var 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h=s.simpleMap(t.range,t.r2l),p=(Math.abs(h[1]-h[0])-(t._lBreaks||0))/1e4;for(a=0;a<t.ticktext.length&&!(Math.abs(e-f(t.tickvals[a]))<p);a++);if(a<t.ticktext.length)return o.text=String(t.ticktext[a]),o}function d(n){if(void 0===n)return!0;if(r)return\"none\"===n;var i={first:t._tmin,last:t._tmax}[n];return\"all\"!==n&&e!==i}var g=r?\"never\":\"none\"!==t.exponentformat&&d(t.showexponent)?\"hide\":\"\";if(\"date\"===u?function(t,e,r,n){var a=t._tickround,o=r&&t.hoverformat||V.getTickFormat(t);n&&(a=i(a)?4:{y:\"m\",m:\"d\",d:\"M\",M:\"S\",S:4}[a]);var l,c=s.formatDate(e.x,o,a,t._dateFormat,t.calendar,t._extraFormat),u=c.indexOf(\"\\n\");-1!==u&&(l=c.substr(u+1),c=c.substr(0,u));n&&(\"00:00:00\"===c||\"00:00\"===c?(c=l,l=\"\"):8===c.length&&(c=c.replace(/:00$/,\"\")));if(l)if(r)\"d\"===a?c+=\", \"+l:c=l+(c?\", \"+c:\"\");else if(t._inCalcTicks&&t._prevDateHead===l){var f=St(t),h=t._trueSide||t.side;(!f&&\"top\"===h||f&&\"bottom\"===h)&&(c+=\"<br> \")}else 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a=n._fullLayout._zoomlayer.selectAll(\".select-outline-\"+r.id);if(a&&n._fullLayout._drawing){var o=v(a,t);o&&i.call(\"_guiRelayout\",n,{shapes:o}),n._fullLayout._drawing=!1}}r.selection={},r.selection.selectionDefs=t.selectionDefs=[],r.selection.mergedPolygons=t.mergedPolygons=[]}function N(t,e,r,n){var i,a,o,s=[],l=e.map((function(t){return t._id})),c=r.map((function(t){return t._id}));for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!n||a.subplot!==n&&a.geo!==n)if(\"splom\"===a.type&&a._xaxes[l[0]]&&a._yaxes[c[0]]){var u=h(a._module,i,e[0],r[0]);u.scene=t._fullLayout._splomScenes[a.uid],s.push(u)}else if(\"sankey\"===a.type){var f=h(a._module,i,e[0],r[0]);s.push(f)}else{if(-1===l.indexOf(a.xaxis))continue;if(-1===c.indexOf(a.yaxis))continue;s.push(h(a._module,i,_(t,a.xaxis),_(t,a.yaxis)))}else s.push(h(a._module,i,e[0],r[0]));return s;function h(t,e,r,n){return{_module:t,cd:e,xaxis:r,yaxis:n}}}function j(t){var 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Boolean(w.lineLayers[t])}function c(t){return Boolean(w.fillLayers[t])}var u=(this.hasChoropleth?w.layersForChoropleth:w.layers).filter((function(t){return l(t)||c(t)?e[\"show\"+t]:!s(t)||e[t].showgrid})),p=r.framework.selectAll(\".layer\").data(u,String);p.exit().each((function(t){delete a[t],delete o[t],n.select(this).remove()})),p.enter().append(\"g\").attr(\"class\",(function(t){return\"layer \"+t})).each((function(t){var e=a[t]=n.select(this);\"bg\"===t?r.bgRect=e.append(\"rect\").style(\"pointer-events\",\"all\"):s(t)?o[t]=e.append(\"path\").style(\"fill\",\"none\"):\"backplot\"===t?e.append(\"g\").classed(\"choroplethlayer\",!0):\"frontplot\"===t?e.append(\"g\").classed(\"scatterlayer\",!0):l(t)?o[t]=e.append(\"path\").style(\"fill\",\"none\").style(\"stroke-miterlimit\",2):c(t)&&(o[t]=e.append(\"path\").style(\"stroke\",\"none\"))})),p.order(),p.each((function(r){var 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r=this.bounds,n=(e.framewidth||0)/2,i=r[0][0]-n,a=r[0][1]-n,o=r[1][0]-i+n,s=r[1][1]-a+n;h.setRect(this.clipRect,i,a,o,s),this.bgRect.call(h.setRect,i,a,o,s).call(f.fill,e.bgcolor),this.xaxis._offset=i,this.xaxis._length=o,this.yaxis._offset=a,this.yaxis._length=s},S.updateFx=function(t,e){var r=this,i=r.graphDiv,a=r.bgRect,o=t.dragmode,s=t.clickmode;if(!r.isStatic){var u;\"select\"===o?u=function(t,e){(t.range={})[r.id]=[h([e.xmin,e.ymin]),h([e.xmax,e.ymax])]}:\"lasso\"===o&&(u=function(t,e,n){(t.lassoPoints={})[r.id]=n.filtered.map(h)});var f={element:r.bgRect.node(),gd:i,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:u},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(t){2===t&&x(i)}};\"pan\"===o?(a.node().onmousedown=null,a.call(_(r,e)),a.on(\"dblclick.zoom\",(function(){var t=r.viewInitial,e={};for(var n in 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t=this,e=t.graphDiv,r=e._fullLayout,i=\"clip\"+r._uid+t.id;t.clipDef=r._clips.append(\"clipPath\").attr(\"id\",i),t.clipRect=t.clipDef.append(\"rect\"),t.framework=n.select(t.container).append(\"g\").attr(\"class\",\"geo \"+t.id).call(h.setClipUrl,i,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:\"x\",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:\"y\",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},g.setConvert(t.mockAxis,r)},S.saveViewInitial=function(t){var 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_=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(m(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(m(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=i}return c.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{\"../cartesian/constants\":561,\"has-passive-events\":229,\"mouse-change\":241,\"mouse-event-offset\":242,\"mouse-wheel\":244}],595:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),i=t(\"../../lib/str2rgbarray\");function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,c,u,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,f=c?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=function(t){return new a(t)}},{\"../../lib/str2rgbarray\":528,\"../cartesian/axes\":554}],596:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":407,\"../../constants/xmlns_namespaces\":480,\"../../plot_api/edit_types\":536,\"../cartesian\":568,\"../cartesian/attributes\":552,\"../cartesian/constants\":561,\"../get_data\":593,\"../layout_attributes\":610,\"./scene2d\":597}],597:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"../../../stackgl_modules\").gl_plot2d,c=t(\"../../../stackgl_modules\").gl_spikes2d,u=t(\"../../../stackgl_modules\").gl_select_box,f=t(\"webgl-context\"),h=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),g=t(\"../cartesian/constraints\"),m=g.enforce,v=g.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\"),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=u.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();m(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var m=this.fullData[g.trace.index]||{},v=g.pointIndex,y=s.castHoverinfo(m,i,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(g.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(g.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(g.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(g.textLabel=void 0),-1===x.indexOf(\"name\")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",g.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(m,v,\"bgcolor\")||g.color,borderColor:s.castHoverOption(m,v,\"bordercolor\"),fontFamily:s.castHoverOption(m,v,\"font.family\"),fontSize:s.castHoverOption(m,v,\"font.size\"),fontColor:s.castHoverOption(m,v,\"font.color\"),nameLength:s.castHoverOption(m,v,\"namelength\"),textAlign:s.castHoverOption(m,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../../stackgl_modules\":1119,\"../../components/dragelement/helpers\":384,\"../../components/fx\":406,\"../../lib/show_no_webgl_msg\":525,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"../cartesian/autorange\":553,\"../cartesian/constants\":561,\"../cartesian/constraints\":562,\"./camera\":594,\"./convert\":595,\"webgl-context\":331}],598:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../components/fx/layout_attributes\"),a=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":407,\"../../constants/xmlns_namespaces\":480,\"../../lib\":503,\"../../plot_api/edit_types\":536,\"../get_data\":593,\"./layout/attributes\":599,\"./layout/defaults\":603,\"./layout/layout_attributes\":604,\"./scene\":608}],599:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],600:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":366,\"../../../lib/extend\":493,\"../../../plot_api/edit_types\":536,\"../../cartesian/layout_attributes\":569}],601:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,13600/187).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},{\"../../../lib\":503,\"../../../plot_api/plot_template\":543,\"../../cartesian/axis_defaults\":556,\"../../cartesian/type_defaults\":582,\"./axis_attributes\":600,tinycolor2:312}],602:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":503,\"../../../lib/str2rgbarray\":528}],603:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),i=t(\"../../../components/color\"),a=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],f=0;f<u.length;f++)r(\"camera.\"+u[f]+\".x\"),r(\"camera.\"+u[f]+\".y\"),r(\"camera.\"+u[f]+\".z\");r(\"camera.projection.type\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",h?\"manual\":\"auto\");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var m=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(m&&v&&y?y/Math.sqrt(m*m+v*v+y*y)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":366,\"../../../lib\":503,\"../../../registry\":638,\"../../get_data\":593,\"../../subplot_defaults\":632,\"./axis_defaults\":601,\"./layout_attributes\":604}],604:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),i=t(\"../../domain\").attributes,a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":503,\"../../../lib/extend\":493,\"../../domain\":584,\"./axis_attributes\":600}],605:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":528}],606:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t(\"../../cartesian/axes\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":503,\"../../cartesian/axes\":554}],607:[function(t,e,r){\"use strict\";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],608:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../../stackgl_modules\").gl_plot3d,o=a.createCamera,s=a.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),f=t(\"../../lib\"),h=f.preserveDrawingBuffer(),p=t(\"../../plots/cartesian/axes\"),d=t(\"../../components/fx\"),g=t(\"../../lib/str2rgbarray\"),m=t(\"../../lib/show_no_webgl_msg\"),v=t(\"./project\"),y=t(\"./layout/convert\"),x=t(\"./layout/spikes\"),b=t(\"./layout/tick_marks\");function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=y(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T||h)e=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=t.glOptions.preserveDrawingBuffer=!0,this.glplot=s(t)}catch(r){h=t.glOptions.preserveDrawingBuffer=!1,e=!1}}}return T=!1,e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return m(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,g=0;g<c.length;++g)\"skip\"!==(t=e.traces[c[g]]).data.hoverinfo&&t.handlePick(h)&&(u=t),t.setContourLevels&&t.setContourLevels();function m(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var y=v(e.glplot.cameraParams,h.dataCoordinate);t=u.data;var x,_=r._fullData[t.index],w=h.index,T={xLabel:m(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:m(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:m(\"z\",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(_,e.fullLayout,w),A=(k||\"\").split(\"+\"),M=k&&\"all\"===k;_.hovertemplate||M||(-1===A.indexOf(\"x\")&&(T.xLabel=void 0),-1===A.indexOf(\"y\")&&(T.yLabel=void 0),-1===A.indexOf(\"z\")&&(T.zLabel=void 0),-1===A.indexOf(\"text\")&&(h.textLabel=void 0),-1===A.indexOf(\"name\")&&(u.name=void 0));var S=[];\"cone\"===t.type||\"streamtube\"===t.type?(T.uLabel=m(\"x\",h.traceCoordinate[3],t.uhoverformat),(M||-1!==A.indexOf(\"u\"))&&S.push(\"u: \"+T.uLabel),T.vLabel=m(\"y\",h.traceCoordinate[4],t.vhoverformat),(M||-1!==A.indexOf(\"v\"))&&S.push(\"v: \"+T.vLabel),T.wLabel=m(\"z\",h.traceCoordinate[5],t.whoverformat),(M||-1!==A.indexOf(\"w\"))&&S.push(\"w: \"+T.wLabel),T.normLabel=h.traceCoordinate[6].toPrecision(3),(M||-1!==A.indexOf(\"norm\"))&&S.push(\"norm: \"+T.normLabel),\"streamtube\"===t.type&&(T.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(M||-1!==A.indexOf(\"divergence\"))&&S.push(\"divergence: \"+T.divergenceLabel)),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):x=h.textLabel;var E={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:w};d.appendArrayPointValue(E,_,w),t._module.eventData&&(E=_._module.eventData(E,h,_,{},w));var L={points:[E]};if(e.fullSceneLayout.hovermode){var C=[];d.loneHover({trace:_,x:(.5+.5*y[0]/y[3])*s,y:(.5-.5*y[1]/y[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:u.name,color:d.castHoverOption(_,w,\"bgcolor\")||u.color,borderColor:d.castHoverOption(_,w,\"bordercolor\"),fontFamily:d.castHoverOption(_,w,\"font.family\"),fontSize:d.castHoverOption(_,w,\"font.size\"),fontColor:d.castHoverOption(_,w,\"font.color\"),nameLength:d.castHoverOption(_,w,\"namelength\"),textAlign:d.castHoverOption(_,w,\"align\"),hovertemplate:f.castOption(_,w,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},E,T),eventData:[E]},{container:n,gd:r,inOut_bbox:C}),E.bbox=C[0]}h.buttons&&h.distance<5?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var k=[\"xaxis\",\"yaxis\",\"zaxis\"];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(g(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&A(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var h=[1,1,1];for(o=0;o<3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var d,m=[[0,0,0],[0,0,0]],v=[],y={};for(a=0;a<3;++a){if((l=(s=c[k[a]]).type)in y?(y[l].acc*=h[a],y[l].count+=1):y[l]={acc:h[a],count:1},s.autorange){m[0][a]=1/0,m[1][a]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],T=w.bounds,M=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?m[0][a]=Math.min(m[0][a],s._lowerLogErrorBound):m[0][a]=Math.min(m[0][a],T[0][a]/h[a]-M),m[1][a]=Math.max(m[1][a],T[1][a]/h[a]+M)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);m[0][a]=Math.min(m[0][a],E),m[1][a]=Math.max(m[1][a],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(m[0][a]=Math.min(m[0][a],0),m[1][a]=Math.max(m[1][a],0)),m[0][a]>m[1][a])m[0][a]=-1,m[1][a]=1;else{var L=m[1][a]-m[0][a];m[0][a]-=L/32,m[1][a]+=L/32}if(\"reversed\"===s.autorange){var C=m[0][a];m[0][a]=m[1][a],m[1][a]=C}}else{var P=s.range;m[0][a]=s.r2l(P[0]),m[1][a]=s.r2l(P[1])}m[0][a]===m[1][a]&&(m[0][a]-=1,m[1][a]+=1),v[a]=m[1][a]-m[0][a],this.glplot.setBounds(a,{min:m[0][a]*h[a],max:m[1][a]*h[a]})}var I=c.aspectmode;if(\"cube\"===I)d=[1,1,1];else if(\"manual\"===I){var O=c.aspectratio;d=[O.x,O.y,O.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var z=[1,1,1];for(a=0;a<3;++a){var D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<e;++a)for(var o=0;o<4;++o){var s=4*(e*n+a)+o,l=4*(e*i+a)+o,c=t[s];t[s]=t[l],t[l]=c}}(a,r,i),function(t,e,r){for(var n=0;n<r;++n)for(var i=0;i<e;++i){var a=4*(e*n+i),o=t[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement(\"canvas\");o.width=r,o.height=i;var 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n,i=this,a=e[i.id];i.map&&a.accesstoken!==i.accessToken&&(i.map.remove(),i.map=null,i.styleObj=null,i.traceHash={},i.layerList=[]),n=i.map?new Promise((function(r,n){i.updateMap(t,e,r,n)})):new Promise((function(r,n){i.createMap(t,e,r,n)})),r.push(n)},_.createMap=function(t,e,r,i){var o=this,s=e[o.id],l=o.styleObj=T(s.style);o.accessToken=s.accesstoken;var c=o.map=new n.Map({container:o.div,style:l.style,center:A(s.center),zoom:s.zoom,bearing:s.bearing,pitch:s.pitch,interactive:!o.isStatic,preserveDrawingBuffer:o.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new n.AttributionControl({compact:!0}));c._canvas.style.left=\"0px\",c._canvas.style.top=\"0px\",o.rejectOnError(i),o.isStatic||o.initFx(t,e);var u=[];u.push(new Promise((function(t){c.once(\"load\",t)}))),u=u.concat(a.fetchTraceGeoData(t)),Promise.all(u).then((function(){o.fillBelowLookup(t,e),o.updateData(t),o.updateLayout(e),o.resolveOnRender(r)})).catch(i)},_.updateMap=function(t,e,r,n){var 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e[o.findIndexOfMin(e,(function(e){return o.angleDist(t,e)}))]}function V(t,e,r){return e?(t.attr(\"display\",null),t.attr(r)):t&&t.attr(\"display\",\"none\"),t}e.exports=function(t,e,r){return new B(t,e,r)},N.plot=function(t,e){for(var r=e[this.id],n=!1,i=0;i<t.length;i++){if(!1===t[i][0].trace.cliponaxis){n=!0;break}}this._hasClipOnAxisFalse=n,this.updateLayers(e,r),this.updateLayout(e,r),f.generalUpdatePerTraceModule(this.gd,this,t,r),this.updateFx(e,r),this.isSmith&&(delete r.realaxis.range,delete r.imaginaryaxis.range)},N.updateLayers=function(t,e){var r=this.isSmith,i=this.layers,a=this.getRadial(e),o=this.getAngular(e),s=S.layerNames,l=s.indexOf(\"frontplot\"),c=s.slice(0,l),u=\"below traces\"===o.layer,f=\"below traces\"===a.layer;u&&c.push(\"angular-line\"),f&&c.push(\"radial-line\"),u&&c.push(\"angular-axis\"),f&&c.push(\"radial-axis\"),c.push(\"frontplot\"),u||c.push(\"angular-line\"),f||c.push(\"radial-line\"),u||c.push(\"angular-axis\"),f||c.push(\"radial-axis\");var h=(r?\"smith\":\"polar\")+\"sublayer\",p=this.framework.selectAll(\".\"+h).data(c,String);p.enter().append(\"g\").attr(\"class\",(function(t){return h+\" \"+t})).each((function(t){var e=i[t]=n.select(this);switch(t){case\"frontplot\":r||e.append(\"g\").classed(\"barlayer\",!0),e.append(\"g\").classed(\"scatterlayer\",!0);break;case\"backplot\":e.append(\"g\").classed(\"maplayer\",!0);break;case\"plotbg\":i.bg=e.append(\"path\");break;case\"radial-grid\":case\"angular-grid\":e.style(\"fill\",\"none\");break;case\"radial-line\":e.append(\"line\").style(\"fill\",\"none\");break;case\"angular-line\":e.append(\"path\").style(\"fill\",\"none\")}})),p.order()},N.updateLayout=function(t,e){var r=this.layers,n=t._size,i=this.getRadial(e),a=this.getAngular(e),o=e.domain.x,s=e.domain.y;this.xOffset=n.l+n.w*o[0],this.yOffset=n.t+n.h*(1-s[1]);var f=this.xLength=n.w*(o[1]-o[0]),h=this.yLength=n.h*(s[1]-s[0]),p=this.getSector(e);this.sectorInRad=p.map(R);var d,g,m,v,y,x=this.sectorBBox=function(t){var e,r,n,i,a=t[0],o=t[1]-a,s=D(a,360),l=s+o,c=Math.cos(R(s)),u=Math.sin(R(s)),f=Math.cos(R(l)),h=Math.sin(R(l));i=s<=90&&l>=90||s>90&&l>=450?1:u<=0&&h<=0?0:Math.max(u,h);e=s<=180&&l>=180||s>180&&l>=540?-1:c>=0&&f>=0?0:Math.min(c,f);r=s<=270&&l>=270||s>270&&l>=630?-1:u>=0&&h>=0?0:Math.min(u,h);n=l>=360?1:c<=0&&f<=0?0:Math.max(c,f);return[e,r,n,i]}(p),b=x[2]-x[0],_=x[3]-x[1],w=h/f,T=Math.abs(_/b);w>T?(d=f,y=(h-(g=f*T))/n.h/2,m=[o[0],o[1]],v=[s[0]+y,s[1]-y]):(g=h,y=(f-(d=h/T))/n.w/2,m=[o[0]+y,o[1]-y],v=[s[0],s[1]]),this.xLength2=d,this.yLength2=g,this.xDomain2=m,this.yDomain2=v;var k,A=this.xOffset2=n.l+n.w*m[0],M=this.yOffset2=n.t+n.h*(1-v[1]),S=this.radius=d/b,E=this.innerRadius=this.getHole(e)*S,L=this.cx=A-S*x[0],C=this.cy=M+S*x[3],P=this.cxx=L-A,I=this.cyy=C-M,O=i.side;\"counterclockwise\"===O?(k=O,O=\"top\"):\"clockwise\"===O&&(k=O,O=\"bottom\"),this.radialAxis=this.mockAxis(t,e,i,{_id:\"x\",side:O,_trueSide:k,domain:[E/n.w,S/n.w]}),this.angularAxis=this.mockAxis(t,e,a,{side:\"right\",domain:[0,Math.PI],autorange:!1}),this.doAutoRange(t,e),this.updateAngularAxis(t,e),this.updateRadialAxis(t,e),this.updateRadialAxisTitle(t,e),this.xaxis=this.mockCartesianAxis(t,e,{_id:\"x\",domain:m}),this.yaxis=this.mockCartesianAxis(t,e,{_id:\"y\",domain:v});var z=this.pathSubplot();this.clipPaths.forTraces.select(\"path\").attr(\"d\",z).attr(\"transform\",l(P,I)),r.frontplot.attr(\"transform\",l(A,M)).call(u.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr(\"d\",z).attr(\"transform\",l(L,C)).call(c.fill,e.bgcolor)},N.mockAxis=function(t,e,r,n){var i=o.extendFlat({},r,n);return d(i,e,t),i},N.mockCartesianAxis=function(t,e,r){var n=this,i=n.isSmith,a=r._id,s=o.extendFlat({type:\"linear\"},r);p(s,t);var l={x:[0,2],y:[1,3]};return s.setRange=function(){var t=n.sectorBBox,r=l[a],i=n.radialAxis._rl,o=(i[1]-i[0])/(1-n.getHole(e));s.range=[t[r[0]]*o,t[r[1]]*o]},s.isPtWithinRange=\"x\"!==a||i?function(){return!0}:function(t){return n.isPtInside(t)},s.setRange(),s.setScale(),s},N.doAutoRange=function(t,e){var r=this.gd,n=this.radialAxis,i=this.getRadial(e);g(r,n);var 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h.tickText(m,t,!0,!1)})):h.calcTicks(m),k=y?T:h.clipEnds(m,T),A=h.getTickSigns(m)[2];y&&((\"top\"===m.ticks&&\"bottom\"===m.side||\"bottom\"===m.ticks&&\"top\"===m.side)&&(A=-A),\"top\"===m.ticks&&\"top\"===m.side&&(w=-m.ticklen),\"bottom\"===m.ticks&&\"bottom\"===m.side&&(w=m.ticklen)),h.drawTicks(n,m,{vals:T,layer:i[\"radial-axis\"],path:h.makeTickPath(m,0,A),transFn:x,crisp:!1}),h.drawGrid(n,m,{vals:k,layer:i[\"radial-grid\"],path:b,transFn:o.noop,crisp:!1}),h.drawLabels(n,m,{vals:T,layer:i[\"radial-axis\"],transFn:x,labelFns:h.makeLabelFns(m,w)})}var M=r.radialAxisAngle=r.vangles?F(U(R(d.angle),r.vangles)):d.angle,S=l(f,p),E=S+s(-M);V(i[\"radial-axis\"],v&&(d.showticklabels||d.ticks),{transform:E}),V(i[\"radial-grid\"],v&&d.showgrid,{transform:y?\"\":S}),V(i[\"radial-line\"].select(\"line\"),v&&d.showline,{x1:y?-a:u,y1:0,x2:a,y2:0,transform:E}).attr(\"stroke-width\",d.linewidth).call(c.stroke,d.linecolor)},N.updateRadialAxisTitle=function(t,e,r){if(!this.isSmith){var n=this.gd,i=this.radius,a=this.cx,o=this.cy,s=this.getRadial(e),l=this.id+\"title\",c=0;if(s.title){var f=u.bBox(this.layers[\"radial-axis\"].node()).height,h=s.title.font.size,p=s.side;c=\"top\"===p?h:\"counterclockwise\"===p?-(f+.4*h):f+.8*h}var d=void 0!==r?r:this.radialAxisAngle,g=R(d),m=Math.cos(g),v=Math.sin(g),y=a+i/2*m+c*v,b=o-i/2*v+c*m;this.layers[\"radial-axis-title\"]=x.draw(n,l,{propContainer:s,propName:this.id+\".radialaxis.title\",placeholder:z(n,\"Click to enter radial axis title\"),attributes:{x:y,y:b,\"text-anchor\":\"middle\"},transform:{rotate:-d}})}},N.updateAngularAxis=function(t,e){var r=this,n=r.gd,i=r.layers,a=r.radius,u=r.innerRadius,f=r.cx,p=r.cy,d=r.getAngular(e),g=r.angularAxis,m=r.isSmith;m||(r.fillViewInitialKey(\"angularaxis.rotation\",d.rotation),g.setGeometry(),g.setScale());var v=m?function(t){var e=O(r,C([0,t.x]));return Math.atan2(e[0]-f,e[1]-p)-Math.PI/2}:function(t){return g.t2g(t.x)};\"linear\"===g.type&&\"radians\"===g.thetaunit&&(g.tick0=F(g.tick0),g.dtick=F(g.dtick));var y=function(t){return l(f+a*Math.cos(t),p-a*Math.sin(t))},x=m?function(t){var e=O(r,C([0,t.x]));return l(e[0],e[1])}:function(t){return y(v(t))},b=m?function(t){var e=O(r,C([0,t.x])),n=Math.atan2(e[0]-f,e[1]-p)-Math.PI/2;return l(e[0],e[1])+s(-F(n))}:function(t){var e=v(t);return y(e)+s(-F(e))},_=m?function(t){return P(r,t.x,0,1/0)}:function(t){var e=v(t),r=Math.cos(e),n=Math.sin(e);return\"M\"+[f+u*r,p-u*n]+\"L\"+[f+a*r,p-a*n]},w=h.makeLabelFns(g,0).labelStandoff,T={xFn:function(t){var e=v(t);return Math.cos(e)*w},yFn:function(t){var e=v(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(w+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*M)},anchorFn:function(t){var e=v(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},heightFn:function(t,e,r){var n=v(t);return-.5*(1+Math.sin(n))*r}},k=j(d);r.angularTickLayout!==k&&(i[\"angular-axis\"].selectAll(\".\"+g._id+\"tick\").remove(),r.angularTickLayout=k);var A,S=m?[1/0].concat(g.tickvals||[]).map((function(t){return h.tickText(g,t,!0,!1)})):h.calcTicks(g);if(m&&(S[0].text=\"\\u221e\",S[0].fontSize*=1.75),\"linear\"===e.gridshape?(A=S.map(v),o.angleDelta(A[0],A[1])<0&&(A=A.slice().reverse())):A=null,r.vangles=A,\"category\"===g.type&&(S=S.filter((function(t){return o.isAngleInsideSector(v(t),r.sectorInRad)}))),g.visible){var E=\"inside\"===g.ticks?-1:1,L=(g.linewidth||1)/2;h.drawTicks(n,g,{vals:S,layer:i[\"angular-axis\"],path:\"M\"+E*L+\",0h\"+E*g.ticklen,transFn:b,crisp:!1}),h.drawGrid(n,g,{vals:S,layer:i[\"angular-grid\"],path:_,transFn:o.noop,crisp:!1}),h.drawLabels(n,g,{vals:S,layer:i[\"angular-axis\"],repositionOnUpdate:!0,transFn:x,labelFns:T})}V(i[\"angular-line\"].select(\"path\"),d.showline,{d:r.pathSubplot(),transform:l(f,p)}).attr(\"stroke-width\",d.linewidth).call(c.stroke,d.linecolor)},N.updateFx=function(t,e){this.gd._context.staticPlot||(!this.isSmith&&(this.updateAngularDrag(t),this.updateRadialDrag(t,e,0),this.updateRadialDrag(t,e,1)),this.updateHoverAndMainDrag(t))},N.updateHoverAndMainDrag=function(t){var e,r,s=this,c=s.isSmith,u=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,g=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,I=E.clampTiny,O=E.findXYatLength,z=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=m.makeDragger(f,\"path\",\"maindrag\",\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){y.hover(u,t,s.id),u._fullLayout._lasthover=F,u._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){u._dragging||v.unhover(u,t)};var B,N,j,U,V,H,q,G,Y,W={element:F,gd:u,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function J(t,e){return Math.atan2(M-e,t-A)}function K(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Q(t,e){if(0===t)return s.pathSector(2*D);var r=R/t,n=e-r,i=e+r,a=Math.max(0,Math.min(t,g)),o=a-D,l=a+D;return\"M\"+K(o,n)+\"A\"+[o,o]+\" 0,0,0 \"+K(o,i)+\"L\"+K(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+K(l,n)+\"Z\"}function $(t,e,r){if(0===t)return s.pathSector(2*D);var n,i,a=K(t,e),o=K(t,r),l=I((a[0]+o[0])/2),c=I((a[1]+o[1])/2);if(l&&c){var u=c/l,f=-1/u,h=O(D,u,l,c);n=O(R,f,h[0][0],h[0][1]),i=O(R,f,h[1][0],h[1][1])}else{var p,d;c?(p=R,d=D):(p=D,d=R),n=[[l-p,c-d],[l+p,c-d]],i=[[l-p,c+d],[l+p,c+d]]}return\"M\"+n.join(\"L\")+\"L\"+i.reverse().join(\"L\")+\"Z\"}function tt(t,e){return e=Math.max(Math.min(e,g),x),t<d?t=0:g-t<d?t=g:e<d?e=0:g-e<d&&(e=g),Math.abs(e-t)>p?(t<e?(j=t,U=e):(j=e,U=t),!0):(j=null,U=null,!1)}function et(t,e){t=t||V,e=e||\"M0,0Z\",G.attr(\"d\",t),Y.attr(\"d\",e),m.transitionZoombox(G,Y,H,q),H=!0;var r={};ot(r),u.emit(\"plotly_relayouting\",r)}function rt(t,n){var i,a,o=B+(t*=e),l=N+(n*=r),c=Z(B,N),u=Math.min(Z(o,l),g),f=J(B,N);tt(c,u)&&(i=V+s.pathSector(U),j&&(i+=s.pathSector(j)),a=Q(j,f)+Q(U,f)),et(i,a)}function 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n=t(\"../../components/color/attributes\"),i=t(\"../domain\").attributes,a=t(\"../cartesian/layout_attributes\"),o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../lib/extend\").extendFlat,l={title:{text:a.title.text,font:a.title.font},color:a.color,tickmode:a.tickmode,nticks:s({},a.nticks,{dflt:6,min:1}),tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,showticklabels:a.showticklabels,showtickprefix:a.showtickprefix,tickprefix:a.tickprefix,showticksuffix:a.showticksuffix,ticksuffix:a.ticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,minexponent:a.minexponent,separatethousands:a.separatethousands,tickfont:a.tickfont,tickangle:a.tickangle,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:s({},a.showline,{dflt:!0}),linecolor:a.linecolor,linewidth:a.linewidth,showgrid:s({},a.showgrid,{dflt:!0}),gridcolor:a.gridcolor,gridwidth:a.gridwidth,layer:a.layer,min:{valType:\"number\",dflt:0,min:0},_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},c=e.exports=o({domain:i({name:\"ternary\"}),bgcolor:{valType:\"color\",dflt:n.background},sum:{valType:\"number\",dflt:1,min:0},aaxis:l,baxis:l,caxis:l},\"plot\",\"from-root\");c.uirevision={valType:\"any\",editType:\"none\"},c.aaxis.uirevision=c.baxis.uirevision=c.caxis.uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":365,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../cartesian/layout_attributes\":569,\"../domain\":584}],636:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../plot_api/plot_template\"),a=t(\"../../lib\"),o=t(\"../subplot_defaults\"),s=t(\"../cartesian/tick_label_defaults\"),l=t(\"../cartesian/prefix_suffix_defaults\"),c=t(\"../cartesian/tick_mark_defaults\"),u=t(\"../cartesian/tick_value_defaults\"),f=t(\"../cartesian/line_grid_defaults\"),h=t(\"./layout_attributes\"),p=[\"aaxis\",\"baxis\",\"caxis\"];function d(t,e,r,a){var o,s,l,c=r(\"bgcolor\"),u=r(\"sum\");a.bgColor=n.combine(c,a.paper_bgcolor);for(var f=0;f<p.length;f++)s=t[o=p[f]]||{},(l=i.newContainer(e,o))._name=o,g(s,l,a,e);var h=e.aaxis,d=e.baxis,m=e.caxis;h.min+d.min+m.min>=u&&(h.min=0,d.min=0,m.min=0,t.aaxis&&delete t.aaxis.min,t.baxis&&delete t.baxis.min,t.caxis&&delete t.caxis.min)}function g(t,e,r,n){var i=h[e._name];function o(r,n){return a.coerce(t,e,i,r,n)}o(\"uirevision\",n.uirevision),e.type=\"linear\";var p=o(\"color\"),d=p!==i.color.dflt?p:r.font.color,g=e._name.charAt(0).toUpperCase(),m=\"Component \"+g,v=o(\"title.text\",m);e._hovertitle=v===m?v:g,a.coerceFont(o,\"title.font\",{family:r.font.family,size:a.bigFont(r.font.size),color:d}),o(\"min\"),u(t,e,o,\"linear\"),l(t,e,o,\"linear\"),s(t,e,o,\"linear\"),c(t,e,o,{outerTicks:!0}),o(\"showticklabels\")&&(a.coerceFont(o,\"tickfont\",{family:r.font.family,size:r.font.size,color:d}),o(\"tickangle\"),o(\"tickformat\")),f(t,e,o,{dfltColor:p,bgColor:r.bgColor,blend:60,showLine:!0,showGrid:!0,noZeroLine:!0,attributes:i}),o(\"hoverformat\"),o(\"layer\")}e.exports=function(t,e,r){o(t,e,r,{type:\"ternary\",attributes:h,handleDefaults:d,font:e.font,paper_bgcolor:e.paper_bgcolor})}},{\"../../components/color\":366,\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../cartesian/line_grid_defaults\":571,\"../cartesian/prefix_suffix_defaults\":573,\"../cartesian/tick_label_defaults\":578,\"../cartesian/tick_mark_defaults\":579,\"../cartesian/tick_value_defaults\":580,\"../subplot_defaults\":632,\"./layout_attributes\":635}],637:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../registry\"),o=t(\"../../lib\"),s=o.strTranslate,l=o._,c=t(\"../../components/color\"),u=t(\"../../components/drawing\"),f=t(\"../cartesian/set_convert\"),h=t(\"../../lib/extend\").extendFlat,p=t(\"../plots\"),d=t(\"../cartesian/axes\"),g=t(\"../../components/dragelement\"),m=t(\"../../components/fx\"),v=t(\"../../components/dragelement/helpers\"),y=v.freeMode,x=v.rectMode,b=t(\"../../components/titles\"),_=t(\"../cartesian/select\").prepSelect,w=t(\"../cartesian/select\").selectOnClick,T=t(\"../cartesian/select\").clearSelect,k=t(\"../cartesian/select\").clearSelectionsCache,A=t(\"../cartesian/constants\");function M(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}e.exports=M;var S=M.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=e[this.id],n=e._size;this._hasClipOnAxisFalse=!1;for(var i=0;i<t.length;i++){if(!1===t[i][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(r),this.adjustLayout(r,n),p.generalUpdatePerTraceModule(this.graphDiv,this,t,r),this.layers.plotbg.select(\"path\").call(c.fill,r.bgcolor)},S.makeFramework=function(t){var e=this.graphDiv,r=t[this.id],n=this.clipId=\"clip\"+this.layoutId+this.id,i=this.clipIdRelative=\"clip-relative\"+this.layoutId+this.id;this.clipDef=o.ensureSingleById(t._clips,\"clipPath\",n,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.clipDefRelative=o.ensureSingleById(t._clips,\"clipPath\",i,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.plotContainer=o.ensureSingle(this.container,\"g\",this.id),this.updateLayers(r),u.setClipUrl(this.layers.backplot,n,e),u.setClipUrl(this.layers.grids,n,e)},S.updateLayers=function(t){var e=this.layers,r=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];\"below traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"below traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"below traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\"),r.push(\"frontplot\"),\"above traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"above traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"above traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\");var i=this.plotContainer.selectAll(\"g.toplevel\").data(r,String),a=[\"agrid\",\"bgrid\",\"cgrid\"];i.enter().append(\"g\").attr(\"class\",(function(t){return\"toplevel \"+t})).each((function(t){var r=n.select(this);e[t]=r,\"frontplot\"===t?r.append(\"g\").classed(\"scatterlayer\",!0):\"backplot\"===t?r.append(\"g\").classed(\"maplayer\",!0):\"plotbg\"===t?r.append(\"path\").attr(\"d\",\"M0,0Z\"):\"aline\"===t||\"bline\"===t||\"cline\"===t?r.append(\"path\"):\"grids\"===t&&a.forEach((function(t){e[t]=r.append(\"g\").classed(\"grid \"+t,!0)}))})),i.order()};var E=Math.sqrt(4/3);S.adjustLayout=function(t,e){var r,n,i,a,o,l,p=this,d=t.domain,g=(d.x[0]+d.x[1])/2,m=(d.y[0]+d.y[1])/2,v=d.x[1]-d.x[0],y=d.y[1]-d.y[0],x=v*e.w,b=y*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*g-i/2,n=e.t+e.h*(1-m)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[g-o/2,g+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[m-l/2,m+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var S=p.baxis=h({},t.baxis,{range:[_-w-k,T],side:\"bottom\",domain:p.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:i});f(S,p.graphDiv._fullLayout),S.setScale();var L=p.caxis=h({},t.caxis,{range:[_-w-T,k],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(L,p.graphDiv._fullLayout),L.setScale();var C=\"M\"+r+\",\"+(n+a)+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDef.select(\"path\").attr(\"d\",C),p.layers.plotbg.select(\"path\").attr(\"d\",C);var P=\"M0,\"+a+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDefRelative.select(\"path\").attr(\"d\",P);var I=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",I),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var O=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",O),p.layers.bgrid.attr(\"transform\",O);var z=s(r+i/2,n)+\"rotate(30)\"+s(0,-M._offset);p.layers.aaxis.attr(\"transform\",z),p.layers.agrid.attr(\"transform\",z);var D=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",D),p.layers.cgrid.attr(\"transform\",D),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(c.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(c.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(c.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this.graphDiv,r=this.id.substr(7)+\"title\",n=this.layers,i=this.aaxis,a=this.baxis,o=this.caxis;if(this.drawAx(i),this.drawAx(a),this.drawAx(o),t){var s=Math.max(i.showticklabels?i.tickfont.size/2:0,(o.showticklabels?.75*o.tickfont.size:0)+(\"outside\"===o.ticks?.87*o.ticklen:0)),c=(a.showticklabels?a.tickfont.size:0)+(\"outside\"===a.ticks?a.ticklen:0)+3;n[\"a-title\"]=b.draw(e,\"a\"+r,{propContainer:i,propName:this.id+\".aaxis.title\",placeholder:l(e,\"Click to enter Component A title\"),attributes:{x:this.x0+this.w/2,y:this.y0-i.title.font.size/3-s,\"text-anchor\":\"middle\"}}),n[\"b-title\"]=b.draw(e,\"b\"+r,{propContainer:a,propName:this.id+\".baxis.title\",placeholder:l(e,\"Click to enter Component B title\"),attributes:{x:this.x0-c,y:this.y0+this.h+.83*a.title.font.size+c,\"text-anchor\":\"middle\"}}),n[\"c-title\"]=b.draw(e,\"c\"+r,{propContainer:o,propName:this.id+\".caxis.title\",placeholder:l(e,\"Click to enter Component C title\"),attributes:{x:this.x0+this.w+c,y:this.y0+this.h+.83*o.title.font.size+c,\"text-anchor\":\"middle\"}})}},S.drawAx=function(t){var e,r=this.graphDiv,n=t._name,i=n.charAt(0),a=t._id,s=this.layers[n],l=i+\"tickLayout\",c=(e=t).ticks+String(e.ticklen)+String(e.showticklabels);this[l]!==c&&(s.selectAll(\".\"+a+\"tick\").remove(),this[l]=c),t.setScale();var u=d.calcTicks(t),f=d.clipEnds(t,u),h=d.makeTransTickFn(t),p=d.getTickSigns(t)[2],g=o.deg2rad(30),m=p*(t.linewidth||1)/2,v=p*t.ticklen,y=this.w,x=this.h,b=\"b\"===i?\"M0,\"+m+\"l\"+Math.sin(g)*v+\",\"+Math.cos(g)*v:\"M\"+m+\",0l\"+Math.cos(g)*v+\",\"+-Math.sin(g)*v,_={a:\"M0,0l\"+x+\",-\"+y/2,b:\"M0,0l-\"+y/2+\",-\"+x,c:\"M0,0l-\"+x+\",\"+y/2}[i];d.drawTicks(r,t,{vals:\"inside\"===t.ticks?f:u,layer:s,path:b,transFn:h,crisp:!1}),d.drawGrid(r,t,{vals:f,layer:this.layers[i+\"grid\"],path:_,transFn:h,crisp:!1}),d.drawLabels(r,t,{vals:u,layer:s,transFn:h,labelFns:d.makeLabelFns(t,0,30)})};var L=A.MINZOOM/2+.87,C=\"m-0.87,.5h\"+L+\"v3h-\"+(L+5.2)+\"l\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l2.6,1.5l-\"+L/2+\",\"+.87*L+\"Z\",P=\"m0.87,.5h-\"+L+\"v3h\"+(L+5.2)+\"l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-2.6,1.5l\"+L/2+\",\"+.87*L+\"Z\",I=\"m0,1l\"+L/2+\",\"+.87*L+\"l2.6,-1.5l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-\"+(L/2+2.6)+\",\"+(.87*L+4.5)+\"l2.6,1.5l\"+L/2+\",-\"+.87*L+\"Z\",O=!0;function z(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearSelect=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,v,b,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),L=M.graphDiv,D=L._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var r=L._fullLayout.clickmode;z(L),2===t&&(L.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",L,R({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&w(e,L,[M.xaxis],[M.yaxis],M.id,M.dragOptions),r.indexOf(\"event\")>-1&&m.click(L,e,M.id)}function B(t,e){return 1-e/M.h}function N(t,e){return 1-(t+(M.h-e)/Math.sqrt(3))/M.w}function j(t,e){return(t-(M.h-e)/Math.sqrt(3))/M.w}function U(i,a){var o=r+i*t,s=n+a*e,l=Math.max(0,Math.min(1,B(0,n),B(0,s))),c=Math.max(0,Math.min(1,N(r,n),N(o,s))),u=Math.max(0,Math.min(1,j(r,n),j(o,s))),g=(l/2+u)*M.w,m=(1-l/2-c)*M.w,y=(g+m)/2,x=m-g,_=(1-l)*M.h,w=_-x/E;x<A.MINZOOM?(p=f,T.attr(\"d\",v),k.attr(\"d\",\"M0,0Z\")):(p={a:f.a+l*h,b:f.b+c*h,c:f.c+u*h},T.attr(\"d\",v+\"M\"+g+\",\"+_+\"H\"+m+\"L\"+y+\",\"+w+\"L\"+g+\",\"+_+\"Z\"),k.attr(\"d\",\"M\"+r+\",\"+n+\"m0.5,0.5h5v-2h-5v-5h-2v5h-5v2h5v5h2ZM\"+g+\",\"+_+C+\"M\"+m+\",\"+_+P+\"M\"+y+\",\"+w+I)),b||(T.transition().style(\"fill\",d>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),k.transition().style(\"opacity\",1).duration(200),b=!0),L.emit(\"plotly_relayouting\",R(p))}function V(){z(L),p!==f&&(a.call(\"_guiRelayout\",L,R(p)),O&&L.data&&L._context.showTips&&(o.notifier(l(L,\"Double-click to zoom back out\"),\"long\"),O=!1))}function H(t,e){var 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n=t(\"../heatmap/attributes\"),i=t(\"../scatter/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\"),o=a.axisHoverFormat,s=a.descriptionOnlyNumbers,l=t(\"../../components/colorscale/attributes\"),c=t(\"../../components/drawing/attributes\").dash,u=t(\"../../plots/font_attributes\"),f=t(\"../../lib/extend\").extendFlat,h=t(\"../../constants/filter_ops\"),p=h.COMPARISON_OPS2,d=h.INTERVAL_OPS,g=i.line;e.exports=f({z:n.z,x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,xperiod:n.xperiod,yperiod:n.yperiod,xperiod0:i.xperiod0,yperiod0:i.yperiod0,xperiodalignment:n.xperiodalignment,yperiodalignment:n.yperiodalignment,text:n.text,hovertext:n.hovertext,transpose:n.transpose,xtype:n.xtype,ytype:n.ytype,xhoverformat:o(\"x\"),yhoverformat:o(\"y\"),zhoverformat:o(\"z\",1),hovertemplate:n.hovertemplate,hoverongaps:n.hoverongaps,connectgaps:f({},n.connectgaps,{}),fillcolor:{valType:\"color\",editType:\"calc\"},autocontour:{valType:\"boolean\",dflt:!0,editType:\"calc\",impliedEdits:{\"contours.start\":void 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a}(u,h),[l]}}},{\"../../components/color\":366,\"../../lib\":503,\"../bar/hover\":655}],778:[function(t,e,r){\"use 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s=r||n.select(t).selectAll(\"g.funnellayer\").selectAll(\"g.trace\");l(t,s,\"funnel\"),s.style(\"opacity\",(function(t){return t[0].trace.opacity})),s.each((function(e){var r=n.select(this),s=e[0].trace;r.selectAll(\".point > path\").each((function(t){if(!t.isBlank){var e=s.marker;n.select(this).call(a.fill,t.mc||e.color).call(a.stroke,t.mlc||e.line.color).call(i.dashLine,e.line.dash,t.mlw||e.line.width).style(\"opacity\",s.selectedpoints&&!t.selected?o:1)}})),c(r,s,t),r.selectAll(\".regions\").each((function(){n.select(this).selectAll(\"path\").style(\"stroke-width\",0).call(a.fill,s.connector.fillcolor)})),r.selectAll(\".lines\").each((function(){var t=s.connector.line;i.lineGroupStyle(n.select(this).selectAll(\"path\"),t.width,t.color,t.dash)}))}))}}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../../constants/interactions\":478,\"../bar/style\":662,\"../bar/uniform_text\":664,\"@plotly/d3\":58}],783:[function(t,e,r){\"use strict\";var n=t(\"../pie/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/domain\").attributes,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/template_attributes\").texttemplateAttrs,l=t(\"../../lib/extend\").extendFlat;e.exports={labels:n.labels,label0:n.label0,dlabel:n.dlabel,values:n.values,marker:{colors:n.marker.colors,line:{color:l({},n.marker.line.color,{dflt:null}),width:l({},n.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},text:n.text,hovertext:n.hovertext,scalegroup:l({},n.scalegroup,{}),textinfo:l({},n.textinfo,{flags:[\"label\",\"text\",\"value\",\"percent\"]}),texttemplate:s({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),hoverinfo:l({},i.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:o({},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),textposition:l({},n.textposition,{values:[\"inside\",\"none\"],dflt:\"inside\"}),textfont:n.textfont,insidetextfont:n.insidetextfont,title:{text:n.title.text,font:n.title.font,position:l({},n.title.position,{values:[\"top 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n=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"../../plots/domain\").defaults,o=t(\"../bar/defaults\").handleText,s=t(\"../pie/defaults\").handleLabelsAndValues;e.exports=function(t,e,r,l){function c(r,a){return n.coerce(t,e,i,r,a)}var u=c(\"labels\"),f=c(\"values\"),h=s(u,f),p=h.len;if(e._hasLabels=h.hasLabels,e._hasValues=h.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),p){e._length=p,c(\"marker.line.width\")&&c(\"marker.line.color\",l.paper_bgcolor),c(\"marker.colors\"),c(\"scalegroup\");var d,g=c(\"text\"),m=c(\"texttemplate\");if(m||(d=c(\"textinfo\",Array.isArray(g)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),m||d&&\"none\"!==d){var v=c(\"textposition\");o(t,e,l,c,v,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1})}a(e,l,c),c(\"title.text\")&&(c(\"title.position\"),n.coerceFont(c,\"title.font\",l.font)),c(\"aspectratio\"),c(\"baseratio\")}else e.visible=!1}},{\"../../lib\":503,\"../../plots/domain\":584,\"../bar/defaults\":652,\"../pie/defaults\":902,\"./attributes\":783}],787:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"funnelarea\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"funnelarea\",\"showLegend\"],attributes:t(\"./attributes\"),layoutAttributes:t(\"./layout_attributes\"),supplyDefaults:t(\"./defaults\"),supplyLayoutDefaults:t(\"./layout_defaults\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\"),style:t(\"./style\"),styleOne:t(\"../pie/style_one\"),meta:{}}},{\"../pie/style_one\":910,\"./attributes\":783,\"./base_plot\":784,\"./calc\":785,\"./defaults\":786,\"./layout_attributes\":788,\"./layout_defaults\":789,\"./plot\":790,\"./style\":791}],788:[function(t,e,r){\"use strict\";var n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":906}],789:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":503,\"./layout_attributes\":788}],790:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/drawing\"),a=t(\"../../lib\"),o=a.strScale,s=a.strTranslate,l=t(\"../../lib/svg_text_utils\"),c=t(\"../bar/plot\").toMoveInsideBar,u=t(\"../bar/uniform_text\"),f=u.recordMinTextSize,h=u.clearMinTextSize,p=t(\"../pie/helpers\"),d=t(\"../pie/plot\"),g=d.attachFxHandlers,m=d.determineInsideTextFont,v=d.layoutAreas,y=d.prerenderTitles,x=d.positionTitleOutside,b=d.formatSliceLabel;function _(t,e){return\"l\"+(e[0]-t[0])+\",\"+(e[1]-t[1])}e.exports=function(t,e){var r=t._fullLayout;h(\"funnelarea\",r),y(e,t),v(e,r._size),a.makeTraceGroups(r._funnelarealayer,e,\"trace\").each((function(e){var u=n.select(this),h=e[0],d=h.trace;!function(t){if(!t.length)return;var e=t[0],r=e.trace,n=r.aspectratio,i=r.baseratio;i>.999&&(i=.999);var a,o=Math.pow(i,2),s=e.vTotal,l=s,c=s*o/(1-o)/s;function u(){var t,e={x:t=Math.sqrt(c),y:-t};return[e.x,e.y]}var f,h,p=[];for(p.push(u()),f=t.length-1;f>-1;f--)if(!(h=t[f]).hidden){var d=h.v/l;c+=d,p.push(u())}var g=1/0,m=-1/0;for(f=0;f<p.length;f++)a=p[f],g=Math.min(g,a[1]),m=Math.max(m,a[1]);for(f=0;f<p.length;f++)p[f][1]-=(m+g)/2;var v=p[p.length-1][0],y=e.r,x=(m-g)/2,b=y/v,_=y/x*n;for(e.r=_*x,f=0;f<p.length;f++)p[f][0]*=b,p[f][1]*=_;var w=[-(a=p[0])[0],a[1]],T=[a[0],a[1]],k=0;for(f=t.length-1;f>-1;f--)if(!(h=t[f]).hidden){var A=p[k+=1][0],M=p[k][1];h.TL=[-A,M],h.TR=[A,M],h.BL=w,h.BR=T,h.pxmid=(S=h.TR,E=h.BR,[.5*(S[0]+E[0]),.5*(S[1]+E[1])]),w=h.TL,T=h.TR}var S,E}(e),u.each((function(){var u=n.select(this).selectAll(\"g.slice\").data(e);u.enter().append(\"g\").classed(\"slice\",!0),u.exit().remove(),u.each((function(o,s){if(o.hidden)n.select(this).selectAll(\"path,g\").remove();else{o.pointNumber=o.i,o.curveNumber=d.index;var u=h.cx,v=h.cy,y=n.select(this),x=y.selectAll(\"path.surface\").data([o]);x.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),y.call(g,t,e);var w=\"M\"+(u+o.TR[0])+\",\"+(v+o.TR[1])+_(o.TR,o.BR)+_(o.BR,o.BL)+_(o.BL,o.TL)+\"Z\";x.attr(\"d\",w),b(t,o,h);var T=p.castOption(d.textposition,o.pts),k=y.selectAll(\"g.slicetext\").data(o.text&&\"none\"!==T?[0]:[]);k.enter().append(\"g\").classed(\"slicetext\",!0),k.exit().remove(),k.each((function(){var h=a.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),p=a.ensureUniformFontSize(t,m(d,o,r.font));h.text(o.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(i.font,p).call(l.convertToTspans,t);var g,y,x,b=i.bBox(h.node()),_=Math.min(o.BL[1],o.BR[1])+v,w=Math.max(o.TL[1],o.TR[1])+v;y=Math.max(o.TL[0],o.BL[0])+u,x=Math.min(o.TR[0],o.BR[0])+u,(g=c(y,x,_,w,b,{isHorizontal:!0,constrained:!0,angle:0,anchor:\"middle\"})).fontSize=p.size,f(d.type,g,r),e[s].transform=g,h.attr(\"transform\",a.getTextTransform(g))}))}}));var 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W=_.selectAll(\"g.gauge-outline\").data([x]);W.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),W.select(\"path\").call(P).call(T),W.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Y,layer:W,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:m});var X=O.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=O.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,c,u=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,m=n.gaugeOutline,v=n.size,x=u.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(v.l,v.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[g].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../surface/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat;e.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],868:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../../stackgl_modules\").delaunay_triangulate,a=t(\"../../../stackgl_modules\").alpha_shape,o=t(\"../../../stackgl_modules\").convex_hull,s=t(\"../../lib/gl_format_color\").parseColorScale,l=t(\"../../lib/str2rgbarray\"),c=t(\"../../components/colorscale\").extractOpts,u=t(\"../../plots/gl3d/zip3\");function f(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var h=f.prototype;function p(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=l(t[n]);return e}function d(t,e,r,n){for(var i=[],a=e.length,o=0;o<a;o++)i[o]=t.d2l(e[o],0,n)*r;return i}function g(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function m(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}h.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return Array.isArray(r)&&void 0!==r[e]?t.textLabel=r[e]:r&&(t.textLabel=r),!0}},h.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,f=t.x.length,h=u(d(r.xaxis,t.x,e.dataScale[0],t.xcalendar),d(r.yaxis,t.y,e.dataScale[1],t.ycalendar),d(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&&t.j&&t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!m(t.i,f)||!m(t.j,f)||!m(t.k,f))return;n=u(g(t.i),g(t.j),g(t.k))}else n=0===t.alphahull?o(h):t.alphahull>0?a(t.alphahull,h):function(t,e){for(var r=[\"x\",\"y\",\"z\"].indexOf(t),n=[],a=e.length,o=0;o<a;o++)n[o]=[e[o][(r+1)%3],e[o][(r+2)%3]];return i(n)}(t.delaunayaxis,h);var v={positions:h,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:l(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var y=c(t);this.color=\"#fff\";var x=t.intensitymode;v[x+\"Intensity\"]=t.intensity,v[x+\"IntensityBounds\"]=[y.min,y.max],v.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],v.vertexColors=p(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],v.cellColors=p(t.facecolor)):(this.color=t.color,v.meshColor=l(t.color));this.mesh.update(v)},h.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new 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n=t(\"../../lib\").extendFlat,i=t(\"../scatter/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../components/drawing/attributes\").dash,s=t(\"../../components/fx/attributes\"),l=t(\"../../constants/delta.js\"),c=l.INCREASING.COLOR,u=l.DECREASING.COLOR,f=i.line;function 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E=S.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);S.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(E),S.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;A.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){c.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),M.append(\"text\").attr(\"class\",\"dimlabel\"),A.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),A.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),A.exit().remove(),w.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",I).on(\"dragend\",O)),u.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),u.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function g(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function m(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=y(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,a,l,c=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),g=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=c&&c<=t.leftXs[l+1]+2){var m=t.parcatsViewModel.dimensions[l],v=t.parcatsViewModel.dimensions[l+1];i=(m.x+m.width+v.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+g.left,y:_-d.top+g.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function v(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(g),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function y(t){for(var e=[],r=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return u.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,y(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,y(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var g=u.model.count,m=u.model.categoryLabel,v=g/u.parcatsViewModel.model.count,y={countLabel:g,categoryLabel:m,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",y.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+y.categoryLabel+\"):\",y.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:y,eventData:[{data:p._input,fullData:p,count:g,category:m,probability:v}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron;if(\"color\"===l?(!function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(this),S(this,\"plotly_hover\",n.event)):(!function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(this),M(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===l?e=E(r,a,this):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),f=c.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,g=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var m=f.model.categoryLabel,v=c.parcatsViewModel.model.count,y=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===c.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:m,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color \\u2229 \"+m+\"): \"+k.probabilityLabel),A.push(\"P(\"+m+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+m+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=u.mostReadable(c.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(g-e.top),text:M,color:c.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:m,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,a,this):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,this)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function C(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(g),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event)}}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],f=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function D(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr(\"transform\",(function(t){return l(t.x,0)})),r(i).attr(\"transform\",(function(t){return l(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(c*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var g={trace:o,key:o.uid,model:i,x:h,y:p,width:u,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(g),N(g)),g}function B(t,e,r,n,a){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),c.push(o(1-a));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+n+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g<c.length;g++){var m,v=c[g];m=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var _=v.categoryInds[b],w=i[b][_],T=a[b];x[T]=n[T][w],n[T][w]+=m;var k=t.dimensions[T].categories[w],A=k.bands.length,M=k.bands[A-1];if(void 0===M||v.rawColor!==M.rawColor){var S=void 0===M?0:M.y+M.height;k.bands.push({key:S,color:v.color,rawColor:v.rawColor,height:m,width:k.width,count:v.count,y:S,categoryViewModel:k,parcatsViewModel:t})}else{var E=k.bands[A-1];E.height+=m,E.count+=v.count}}y=\"hspline\"===t.pathShape?B(s,x,l,m,.5):B(s,x,l,m,0),h[g]={key:v.valueInds[0],model:v,height:m,leftXs:s,topYs:x,dimWidths:l,svgD:y,parcatsViewModel:t}}t.paths=h}function j(t){var e=t.model.dimensions.map((function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}}));e.sort((function(t,e){return t.displayInd-e.displayInd}));var r=[];for(var n in e){var i=e[n].dimensionInd,a=t.model.dimensions[i];r.push(U(t,a))}t.dimensions=r}function U(t,e){var r,n=t.model.dimensions.length,i=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*i;var 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/layout_attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/layout_attributes\":569,\"../../plots/domain\":584,\"../../plots/font_attributes\":585}],888:[function(t,e,r){\"use 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t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e){var r=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);r.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e){var r=t.selectAll(\".background\").data(o);r.enter().append(\"rect\").classed(\"background\",!0).call(d).call(g).style(\"pointer-events\",\"auto\").attr(\"transform\",l(0,n.verticalPadding)),r.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var i=t.selectAll(\".highlight-shadow\").data(o);i.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),i.attr(\"y1\",(function(t){return t.height})).call(x);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",(function(t){return t.height})).call(x)}(r,e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":503,\"../../lib/gup\":500,\"./constants\":891,\"@plotly/d3\":58}],889:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/get_data\").getModuleCalcData,a=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.style.width,height:this.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":480,\"../../plots/get_data\":593,\"./plot\":898,\"@plotly/d3\":58}],890:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,i=t(\"../../components/colorscale\"),a=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},{\"../../components/colorscale\":378,\"../../lib\":503,\"../../lib/gup\":500}],891:[function(t,e,r){\"use 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n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":503}],894:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":887,\"./base_plot\":889,\"./calc\":890,\"./defaults\":892,\"./plot\":898}],895:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*a+l];63===l&&0===o&&(c*=-1),n[i++]=c}return n}function m(t){var e=\"0\"+t;return e.substr(e.length-2)}function v(t){return t<o?\"p\"+m(t+1)+\"_\"+m(t+4):\"colors\"}function y(t,e,r,n,i,a,o,l,c,u,f,h,p,d){for(var g=[[],[]],m=0;m<64;m++)g[0][m]=m===i?1:0,g[1][m]=m===a?1:0;o*=d,l*=d,c*=d,u*=d;var 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r,n,l,m,b,_=e.context,w=e.pick,T=e.regl,k=T._gl,A=k.getParameter(k.ALIASED_LINE_WIDTH_RANGE),M=Math.max(A[0],Math.min(A[1],e.viewModel.plotGlPixelRatio)),S={currentRafs:{},drawCompleted:!0,clearOnly:!1},E=function(t){for(var e={},r=0;r<=o;r+=4)e[v(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(T),L=T.texture(u),C=[];I(e);var P=T({profile:!1,blend:{enable:_,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src 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I(t){r=t.model,n=t.viewModel,l=n.dimensions.slice(),m=l[0]?l[0].values.length:0;var e=r.lines,i=w?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var l=0;l<o;l++)i[a++]=l<e.length?e[l].paddedUnitValues[s]:.5;i[a++]=d(s,2),i[a++]=d(s,1),i[a++]=d(s,0),i[a++]=(n=r[s],Math.max(1e-6,Math.min(.999999,n)))}return i}(m,l,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[v(n)](g(n/4,e,r))}(E,m,a),_||w||(L=T.texture(s.extendFlat({data:p(r.unitToColor,255)},u)))}return{render:function(t,e,n){var i,a,o,s=t.length,c=1/0,u=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<c&&(c=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>u&&(u=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<l.length?l[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<l.length;e++){var s=e%8,c=(e-s)/8,u=Math.pow(2,s),f=l[e].brush.filter.get();if(!(f.length<2)){var h=x(f[0])[1];for(r=1;r<f.length;r++){var p=x(f[r]);for(n=h+1;n<p[0];n++)o[8*n+c]&=~u;h=Math.max(h,p[1])}}}var d={shape:[8,2048],format:\"alpha\",type:\"uint8\",mag:\"nearest\",min:\"nearest\",data:o};return b?b(d):b=T.texture(d),{maskTexture:b,maskHeight:2048,loA:i[0].slice(0,16),loB:i[0].slice(16,32),loC:i[0].slice(32,48),loD:i[0].slice(48,64),hiA:i[1].slice(0,16),hiB:i[1].slice(16,32),hiC:i[1].slice(32,48),hiD:i[1].slice(48,64)}}(_);for(i=0;i<s;i++){var d=t[i],g=d.dim0.crossfilterDimensionIndex,v=d.dim1.crossfilterDimensionIndex,k=d.canvasX,A=d.canvasY,M=k+d.panelSizeX,E=d.plotGlPixelRatio;if(e||!C[g]||C[g][0]!==k||C[g][1]!==M){C[g]=[k,M];var L=y(r,a,o,i,g,v,k,A,d.panelSizeX,d.panelSizeY,d.dim0.crossfilterDimensionIndex,_?0:w?2:1,p,E);S.clearOnly=n;var I=e?r.lines.blockLineCount:m;h(T,P,S,I,m,L)}}},readPixel:function(t,e){return T.read({x:t,y:e,width:1,height:1,data:c}),c},readPixels:function(t,e,r,n){var i=new Uint8Array(4*r*n);return T.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style[\"pointer-events\"]=\"none\",L.destroy(),b&&b.destroy(),E)E[e].destroy()},update:I}}},{\"../../lib\":503,\"./constants\":891,glslify:227}],896:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},{}],897:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"color-rgba\"),s=t(\"../../plots/cartesian/axes\"),l=i.strRotate,c=i.strTranslate,u=t(\"../../lib/svg_text_utils\"),f=t(\"../../components/drawing\"),h=t(\"../../components/colorscale\"),p=t(\"../../lib/gup\"),d=p.keyFun,g=p.repeat,m=p.unwrap,v=t(\"./helpers\"),y=t(\"./constants\"),x=t(\"./axisbrush\"),b=t(\"./lines\");function _(t,e,r){return i.aggNums(t,null,e,r)}function w(t,e){return k(_(Math.min,t,e),_(Math.max,t,e))}function T(t){var e=t.range;return e?k(e[0],e[1]):w(t.values,t._length)}function k(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function A(t,e,r,i,o){var s,l,c=T(r);return i?n.scale.ordinal().domain(i.map((s=a(r.tickformat),l=o,l?function(t,e){var r=l[e];return null==r?s(t):r}:s))).range(i.map((function(r){var n=(r-c[0])/(c[1]-c[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(c).range([t-e,e])}function M(t){if(t.tickvals){var e=T(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function S(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=o(t[1]);return n.rgb(\"rgb(\"+e[0]+\",\"+e[1]+\",\"+e[2]+\")\")})),i=\"rgb\".split(\"\").map((function(t){return n.scale.linear().clamp(!0).domain(e).range(r.map((i=t,function(t){return t[i]})));var i}));return function(t){return i.map((function(e){return e(t)}))}}function E(t){return t.dimensions.some((function(t){return t.brush.filterSpecified}))}function L(t,e,r){var a=m(e),s=a.trace,l=v.convertTypedArray(a.lineColor),c=s.line,u={color:o(y.deselectedLineColor)},f=h.extractOpts(c),p=f.reversescale?h.flipScale(a.cscale):a.cscale,d=s.domain,g=s.dimensions,x=t.width,b=s.labelangle,_=s.labelside,w=s.labelfont,k=s.tickfont,A=s.rangefont,M=i.extendDeepNoArrays({},c,{color:l.map(n.scale.linear().domain(T({values:l,range:[f.min,f.max],_length:s._length}))),blockLineCount:y.blockLineCount,canvasOverdrag:y.overdrag*y.canvasPixelRatio}),E=Math.floor(x*(d.x[1]-d.x[0])),L=Math.floor(t.height*(d.y[1]-d.y[0])),C=t.margin||{l:80,r:80,t:100,b:80},P=E,I=L;return{key:r,colCount:g.filter(v.isVisible).length,dimensions:g,tickDistance:y.tickDistance,unitToColor:S(p),lines:M,deselectedLines:u,labelAngle:b,labelSide:_,labelFont:w,tickFont:k,rangeFont:A,layoutWidth:x,layoutHeight:t.height,domain:d,translateX:d.x[0]*x,translateY:t.height-d.y[1]*t.height,pad:C,canvasWidth:P*y.canvasPixelRatio+2*M.canvasOverdrag,canvasHeight:I*y.canvasPixelRatio,width:P,height:I,canvasPixelRatio:y.canvasPixelRatio}}function C(t,e,r){var o=r.width,s=r.height,l=r.dimensions,c=r.canvasPixelRatio,u=function(t){return o*t/Math.max(1,r.colCount-1)},f=y.verticalPadding/s,h=function(t,e){return n.scale.linear().range([e,t-e])}(s,y.verticalPadding),p={key:r.key,xScale:u,model:r,inBrushDrag:!1},d={};return p.dimensions=l.filter(v.isVisible).map((function(o,l){var g=function(t,e){return n.scale.linear().domain(T(t)).range([e,1-e])}(o,f),m=d[o.label];d[o.label]=(m||0)+1;var b=o.label+(m?\"__\"+m:\"\"),_=o.constraintrange,w=_&&_.length;w&&!Array.isArray(_[0])&&(_=[_]);var k=w?_.map((function(t){return t.map(g)})):[[-1/0,1/0]],S=o.values;S.length>o._length&&(S=S.slice(0,o._length));var L,C=o.tickvals;function P(t,e){return{val:t,text:L[e]}}function I(t,e){return t.val-e.val}if(Array.isArray(C)&&C.length){L=o.ticktext,Array.isArray(L)&&L.length?L.length>C.length?L=L.slice(0,C.length):C.length>L.length&&(C=C.slice(0,L.length)):L=C.map(a(o.tickformat));for(var O=1;O<C.length;O++)if(C[O]<C[O-1]){for(var 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t.map(n).sort(i.sorterAsc)})).sort((function(t,e){return t[0]-e[0]}));e.filterChanged(p.key,o._index,a)}}))}})),p}function P(t){t.classed(y.cn.axisExtentText,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"default\")}function I(t,e){var r=\"top\"===e?1:-1,n=t*Math.PI/180;return{dir:r,dx:Math.sin(n),dy:Math.cos(n),degrees:t}}function O(t,e,r){for(var n=e.panels||(e.panels=[]),i=t.data(),a=0;a<i.length-1;a++){var o=n[a]||(n[a]={}),s=i[a],l=i[a+1];o.dim0=s,o.dim1=l,o.canvasX=s.canvasX,o.panelSizeX=l.canvasX-s.canvasX,o.panelSizeY=e.model.canvasHeight,o.y=0,o.canvasY=0,o.plotGlPixelRatio=r}}function z(t,e){return s.tickText(t._ax,e,!1).text}function D(t,e){if(t.ordinal)return\"\";var r=t.domainScale.domain(),n=r[e?r.length-1:0];return z(t.model.dimensions[t.visibleIndex],n)}e.exports=function(t,e,r,a){var o=t._fullLayout,h=o._toppaper,p=o._glcontainer,_=t._context.plotGlPixelRatio,T=t._fullLayout.paper_bgcolor;!function(t){for(var e=0;e<t.length;e++)for(var 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r=t._fullLayout;if(i(t)){var s={},l={},c={},u={},f=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var i=u[r]=n._fullInput.index;s[r]=t.data[i].dimensions,l[r]=t.data[i].dimensions.slice()}));n(t,e,{width:f.w,height:f.h,margin:{t:f.t,r:f.r,b:f.b,l:f.l}},{filterChanged:function(e,n,i){var a=l[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",f=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===f[s]){var h=a.constraintrange;f[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[u[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return 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n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top 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r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(c=new Array(h),r=0;r<h;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o[\"_\"+e.type+\"colormap\"]),m=0,v=!1;for(r=0;r<h;r++){var y,x,b;if(p){if(y=f[r],!n(y))continue;if((y=+y)<0)continue}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(m+=y),a.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(m+=y),!1===i.color&&u[r]&&(i.color=g(u[r],x)))}return(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=m),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":366,\"fast-isnumeric\":190,tinycolor2:312}],902:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":503,\"../../plots/domain\":584,\"../bar/defaults\":652,\"./attributes\":899,\"fast-isnumeric\":190}],903:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":402}],904:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},{\"../../lib\":503}],905:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":899,\"./base_plot\":900,\"./calc\":901,\"./defaults\":902,\"./layout_attributes\":906,\"./layout_defaults\":907,\"./plot\":908,\"./style\":909,\"./style_one\":910}],906:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],907:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":503,\"./layout_attributes\":906}],908:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/plots\"),a=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=l.strScale,u=l.strTranslate,f=t(\"../../lib/svg_text_utils\"),h=t(\"../bar/uniform_text\"),p=h.recordMinTextSize,d=h.clearMinTextSize,g=t(\"../bar/constants\").TEXTPAD,m=t(\"./helpers\"),v=t(\"./event_data\"),y=t(\"../../lib\").isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u=\"funnelarea\"===c.type;\"_hasHoverLabel\"in c||(c._hasHoverLabel=!1),\"_hasHoverEvent\"in c||(c._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[m.castOption(h,t.pts)],_module:c._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),g=s+t.pxmid[1]*(1-p),y=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=m.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=m.formatPieValue(t.v,y),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=m.formatPiePercent(t.percent,y),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:g,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:g-p*i.r,_y1:u?s+t.BL[1]:g+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:m.castOption(_.bgcolor,t.pts)||t.color,borderColor:m.castOption(_.bordercolor,t.pts),fontFamily:m.castOption(w.family,t.pts),fontSize:m.castOption(w.size,t.pts),fontColor:m.castOption(w.color,t.pts),nameLength:m.castOption(_.namelength,t.pts),textAlign:m.castOption(_.align,t.pts),hovertemplate:m.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=m.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=m.castOption(t._input.textfont.color,e.pts));var i=m.castOption(t.insidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.insidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f=\"horizontal\"===u,h=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,g=[];if(!d){var m,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,g.push(a)}};if(f||h){for(m=4;m>=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(f||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;g.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a));for(var x=0,b=0,_=0;_<g.length;_++){var w=g[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return g[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+I(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},f=u(\"label\"),h=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),g=n.separators;if(s=f?[e.label]:[],h){var v=m.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(m.formatPieValue(e.v,g)),d&&s.push(m.formatPiePercent(e.v/r.vTotal,g)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:m.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:m.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=m.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],g=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=m.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,s+=l*r.v/2,n=z(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=g.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),g.pull){var v=+m.castOption(g.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=g.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+\"l\"+M*i.px0[0]+\",\"+M*i.px0[1]+A+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+A+\"Z\")}D(t,i,d);var S=m.castOption(g.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var n=m.castOption(t.outsidetextfont.color,e.pts)||m.castOption(t.textfont.color,e.pts)||r.color,i=m.castOption(t.outsidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.outsidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(g,i,r.font):b(g,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=L(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,g.outsidetextfont);u.call(s.font,x),v=L(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:z(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var A=v.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(g.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function C(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(g.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=g.title.text;g._meta&&(i=l.templateString(i,g._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,g.title.font).call(f.convertToTspans,t),e=\"middle center\"===g.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):C(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function g(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"./render\"),s=t(\"../../components/fx\"),l=t(\"../../components/color\"),c=t(\"./constants\").cn,u=i._;function f(t){return\"\"!==t}function h(t,e){return t.filter((function(t){return t.key===e.traceId}))}function p(t,e){n.select(t).select(\"path\").style(\"fill-opacity\",e),n.select(t).select(\"rect\").style(\"fill-opacity\",e)}function d(t){n.select(t).select(\"text.name\").style(\"fill\",\"black\")}function g(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function m(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function v(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(g(e)).call(x.bind(0,e,r,!1))}function y(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(g(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),r&&h(e,t).selectAll(\".\"+c.sankeyNode).filter(m(t)).call(v)}function b(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(c.sankeyNode).filter(m(t)).call(y)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}e.exports=function(t,e){for(var r=t._fullLayout,i=r._paper,h=r._size,g=0;g<t._fullData.length;g++)if(t._fullData[g].visible&&t._fullData[g].type===c.sankey&&!t._fullData[g]._viewInitial){var m=t._fullData[g].node;t._fullData[g]._viewInitial={node:{groups:m.groups.slice(),x:m.x.slice(),y:m.y.slice()}}}var w=u(t,\"source:\")+\" \",T=u(t,\"target:\")+\" \",k=u(t,\"concentration:\")+\" \",A=u(t,\"incoming flow count:\")+\" \",M=u(t,\"outgoing flow count:\")+\" \";o(t,i,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{linkEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,r,i,!0)),\"skip\"!==r.link.trace.link.hoverinfo&&(r.link.fullData=r.link.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.link]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.link.trace.link;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){for(var c=[],u=0,h=0;h<i.flow.links.length;h++){var g=i.flow.links[h];if(\"closest\"!==t._fullLayout.hovermode||i.link.pointNumber===g.pointNumber){i.link.pointNumber===g.pointNumber&&(u=h),g.fullData=g.trace,o=i.link.trace.link;var m=y(g),v={valueLabel:a(i.valueFormat)(g.value)+i.valueSuffix};c.push({x:m[0],y:m[1],name:v.valueLabel,text:[g.label||\"\",w+g.source.label,T+g.target.label,g.concentrationscale?k+a(\"%0.2f\")(g.flow.labelConcentration):\"\"].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||l.addOpacity(g.color,1),borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:n.event.x<m[0]?\"right\":\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:v,eventData:[g]})}}s.loneHover(c,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:u}).each((function(){i.link.concentrationscale||p(this,.65),d(this)}))}}function y(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var n=[e,r];return\"v\"===t.trace.orientation&&n.reverse(),n[0]+=i.parent.translateX,n[1]+=i.parent.translateY,n}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(b.bind(0,i,a,!0)),\"skip\"!==i.link.trace.link.hoverinfo&&(i.link.fullData=i.link.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.link]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r){var i=r.link;i.originalEvent=n.event,t._hoverdata=[i],s.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(v,r,i),\"skip\"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.node]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.node.trace.node;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){var l=n.select(e).select(\".\"+c.nodeRect),u=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=l.node().getBoundingClientRect(),g=h.left-2-u.left,m=h.right+2-u.left,v=h.top+h.height/4-u.top,y={valueLabel:a(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace,t._fullLayout._calcInverseTransform(t);var x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*g,x1:x*m,y:b*v,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||i.tinyColorHue,borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(y,i,a),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(y,r,i),s.click(t,{target:!0})}}})}},{\"../../components/color\":366,\"../../components/fx\":406,\"../../lib\":503,\"./constants\":918,\"./render\":922,\"@plotly/d3\":58}],922:[function(t,e,r){\"use strict\";var n=t(\"d3-force\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"@plotly/d3\"),o=t(\"@plotly/d3-sankey\"),s=t(\"@plotly/d3-sankey-circular\"),l=t(\"./constants\"),c=t(\"tinycolor2\"),u=t(\"../../components/color\"),f=t(\"../../components/drawing\"),h=t(\"../../lib\"),p=h.strTranslate,d=h.strRotate,g=t(\"../../lib/gup\"),m=g.keyFun,v=g.repeat,y=g.unwrap,x=t(\"../../lib/svg_text_utils\"),b=t(\"../../registry\"),_=t(\"../../constants/alignment\"),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,g=t.width*(u.x[1]-u.x[0]),m=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,m]:[m,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=c(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*g,a.node.y[_]*m];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}if(\"snap\"===a.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(v=k.nodes));n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:g,height:m,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?m:g,dragPerpendicular:f?g:m,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=c(e.color),i=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"L\"+n.targetX+\" \"+(n.targetY-r)+\"Z\":\"M \"+n.targetX+\" \"+(n.targetY-r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,a=t.link.source.x1,o=t.link.target.x0,s=i(a,o),l=s(.5),c=s(.5),u=t.link.y0-t.link.width/2,f=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,p=t.link.y1+t.link.width/2;return\"M\"+a+\",\"+u+\"C\"+l+\",\"+u+\" \"+c+\",\"+h+\" \"+o+\",\"+h+\"L\"+o+\",\"+p+\"C\"+c+\",\"+p+\" \"+l+\",\"+f+\" \"+a+\",\"+f+\"Z\"}}function S(t,e){var r=c(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function 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n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=n.line,f=c.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:l({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:f.width,editType:\"calc\"},s(\"marker.line\")),gradient:c.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:a()}},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/template_attributes\":633,\"../scatter/attributes\":925}],960:[function(t,e,r){\"use 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n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),f=t(\"./attributes\");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),g=p(\"b\"),m=Math.min(d.length,g.length);if(m){e._length=m,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",m<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,h,p),l(t,e,p),p(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&c(t,e,h,p);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(p(\"marker.maxdisplayed\"),v.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),a.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),\"fills\"!==p(\"hoveron\",v.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":503,\"../scatter/constants\":929,\"../scatter/fillcolor_defaults\":933,\"../scatter/line_defaults\":938,\"../scatter/line_shape_defaults\":940,\"../scatter/marker_defaults\":944,\"../scatter/subtypes\":950,\"../scatter/text_defaults\":951,\"./attributes\":959}],962:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){var a=n[i];return t.a=a.a,t.b=a.b,t.y=a.y,t}},{}],963:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,i=n.ab2ij([t.a,t.b]),a=Math.floor(i[0]),o=i[0]-a,s=Math.floor(i[1]),l=i[1]-s,c=n.evalxy([],a,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],964:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\"),i=t(\"../../lib\").fillText;e.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,f=c-u;return s.x0=Math.max(Math.min(s.x0,f),u),s.x1=Math.max(Math.min(s.x1,f),u),o}var h=s.cd[s.index];s.a=h.a,s.b=h.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,g=p._module.formatLabels(h,p);s.yLabel=g.yLabel,delete s.text;var m=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split(\"+\");-1!==v.indexOf(\"all\")&&(v=[\"a\",\"b\",\"text\"]),-1!==v.indexOf(\"a\")&&y(d.aaxis,h.a),-1!==v.indexOf(\"b\")&&y(d.baxis,h.b),m.push(\"y: \"+s.yLabel),-1!==v.indexOf(\"text\")&&i(h,p,m),s.extraText=m.join(\"<br>\")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,m.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},{\"../../lib\":503,\"../scatter/hover\":936}],965:[function(t,e,r){\"use 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s,l,c,u=r[0][0].carpet,f={xaxis:i.getFromId(t,u.xaxis||\"x\"),yaxis:i.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,f,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),a.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":388,\"../../plots/cartesian/axes\":554,\"../scatter/plot\":946}],967:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,f=a.marker,h=a.line,p=f.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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n=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),a=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,c,r,i)}var h,p=f(\"locations\");if(p&&p.length){var d,g=f(\"geojson\");(\"string\"==typeof g&&\"\"!==g||n.isPlainObject(g))&&(d=\"geojson-id\"),\"geojson-id\"===f(\"locationmode\",d)&&f(\"featureidkey\"),h=p.length}else{var m=f(\"lon\")||[],v=f(\"lat\")||[];h=Math.min(m.length,v.length)}h?(e._length=h,f(\"text\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"mode\"),i.hasLines(e)&&(o(t,e,r,u,f),f(\"connectgaps\")),i.hasMarkers(e)&&a(t,e,r,u,f,{gradient:!0}),i.hasText(e)&&(f(\"texttemplate\"),s(t,e,u,f)),f(\"fill\"),\"none\"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)):e.visible=!1}},{\"../../lib\":503,\"../scatter/fillcolor_defaults\":933,\"../scatter/line_defaults\":938,\"../scatter/marker_defaults\":944,\"../scatter/subtypes\":950,\"../scatter/text_defaults\":951,\"./attributes\":967}],970:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null;var a=n[i];return a.fIn&&a.fIn.properties&&(t.properties=a.fIn.properties),t}},{}],971:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var i={},a=r[e.geo]._subplot.mockAxis,o=t.lonlat;return 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t.lonLabel=b.lonLabel,t.latLabel=b.latLabel,t.color=a(c,g),t.extraText=function(t,e,r,n){if(t.hovertemplate)return;var i=e.hi||t.hoverinfo,a=\"all\"===i?s.hoverinfo.flags:i.split(\"+\"),l=-1!==a.indexOf(\"location\")&&Array.isArray(t.locations),c=-1!==a.indexOf(\"lon\"),u=-1!==a.indexOf(\"lat\"),f=-1!==a.indexOf(\"text\"),h=[];function p(t){return t+\"\\xb0\"}l?h.push(e.loc):c&&u?h.push(\"(\"+p(r.latLabel)+\", \"+p(r.lonLabel)+\")\"):c?h.push(n.lon+p(r.lonLabel)):u&&h.push(n.lat+p(r.latLabel));f&&o(e,t,h);return h.join(\"<br>\")}(c,g,t,l[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}}},{\"../../components/fx\":406,\"../../constants/numerical\":479,\"../../lib\":503,\"../scatter/get_trace_color\":935,\"./attributes\":967}],973:[function(t,e,r){\"use 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../lib/topojson_utils\").getTopojsonFeatures,o=t(\"../../lib/geojson_utils\"),s=t(\"../../lib/geo_location_utils\"),l=t(\"../../plots/cartesian/autorange\").findExtremes,c=t(\"../../constants/numerical\").BADNUM,u=t(\"../scatter/calc\").calcMarkerSize,f=t(\"../scatter/subtypes\"),h=t(\"./style\");e.exports={calcGeoJSON:function(t,e){var r,n,i=t[0].trace,o=e[i.geo],f=o._subplot,h=i._length;if(Array.isArray(i.locations)){var p=i.locationmode,d=\"geojson-id\"===p?s.extractTraceFeature(t):a(i,f.topojson);for(r=0;r<h;r++){n=t[r];var g=\"geojson-id\"===p?n.fOut:s.locationToFeature(p,n.loc,d);n.lonlat=g?g.properties.ct:[c,c]}}var m,v,y={padded:!0};if(\"geojson\"===o.fitbounds&&\"geojson-id\"===i.locationmode){var x=s.computeBbox(s.getTraceGeojson(i));m=[x[0],x[2]],v=[x[1],x[3]]}else{for(m=new Array(h),v=new Array(h),r=0;r<h;r++)n=t[r],m[r]=n.lonlat[0],v[r]=n.lonlat[1];y.ppad=u(i,h)}i._extremes.lon=l(o.lonaxis._ax,m,y),i._extremes.lat=l(o.lataxis._ax,v,y)},plot:function(t,e,r){var a=e.layers.frontplot.select(\".scatterlayer\"),s=i.makeTraceGroups(a,r,\"trace scattergeo\");function l(t,e){t.lonlat[0]===c&&n.select(e).remove()}s.selectAll(\"*\").remove(),s.each((function(e){var r=n.select(this),a=e[0].trace;if(f.hasLines(a)||\"none\"!==a.fill){var s=o.calcTraceToLineCoords(e),c=\"none\"!==a.fill?o.makePolygon(s):o.makeLine(s);r.selectAll(\"path.js-line\").data([{geojson:c,trace:a}]).enter().append(\"path\").classed(\"js-line\",!0).style(\"stroke-miterlimit\",2)}f.hasMarkers(a)&&r.selectAll(\"path.point\").data(i.identity).enter().append(\"path\").classed(\"point\",!0).each((function(t){l(t,this)})),f.hasText(a)&&r.selectAll(\"g\").data(i.identity).enter().append(\"g\").append(\"text\").each((function(t){l(t,this)})),h(t,e)}))}}},{\"../../constants/numerical\":479,\"../../lib\":503,\"../../lib/geo_location_utils\":496,\"../../lib/geojson_utils\":497,\"../../lib/topojson_utils\":532,\"../../plots/cartesian/autorange\":553,\"../scatter/calc\":926,\"../scatter/subtypes\":950,\"./style\":976,\"@plotly/d3\":58}],975:[function(t,e,r){\"use strict\";var n=t(\"../scatter/subtypes\"),i=t(\"../../constants/numerical\").BADNUM;e.exports=function(t,e){var 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e=n.select(this),r=t.trace,o=r.line||{};e.call(a.stroke,o.color).call(i.dashLine,o.dash||\"\",o.width||0),\"none\"!==r.fill&&e.call(a.fill,r.fillcolor)}))}(t,e)}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../scatter/style\":949,\"@plotly/d3\":58}],977:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),i=t(\"../scatter/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../components/colorscale/attributes\"),s=t(\"../../lib/sort_object_keys\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll,u=t(\"./constants\").DASHES,f=i.line,h=i.marker,p=h.line,d=e.exports=c({x:i.x,x0:i.x0,dx:i.dx,y:i.y,y0:i.y0,dy:i.dy,xperiod:i.xperiod,yperiod:i.yperiod,xperiod0:i.xperiod0,yperiod0:i.yperiod0,xperiodalignment:i.xperiodalignment,yperiodalignment:i.yperiodalignment,xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),text:i.text,hovertext:i.hovertext,textposition:i.textposition,textfont:i.textfont,mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\",\"text\"],extras:[\"none\"]},line:{color:f.color,width:f.width,shape:{valType:\"enumerated\",values:[\"linear\",\"hv\",\"vh\",\"hvh\",\"vhv\"],dflt:\"linear\",editType:\"plot\"},dash:{valType:\"enumerated\",values:s(u),dflt:\"solid\"}},marker:l({},o(\"marker\"),{symbol:h.symbol,size:h.size,sizeref:h.sizeref,sizemin:h.sizemin,sizemode:h.sizemode,opacity:h.opacity,colorbar:h.colorbar,line:l({},o(\"marker.line\"),{width:p.width})}),connectgaps:i.connectgaps,fill:l({},i.fill,{dflt:\"none\"}),fillcolor:i.fillcolor,selected:{marker:i.selected.marker,textfont:i.selected.textfont},unselected:{marker:i.unselected.marker,textfont:i.unselected.textfont},opacity:n.opacity},\"calc\",\"nested\");d.x.editType=d.y.editType=d.x0.editType=d.y0.editType=\"calc+clearAxisTypes\",d.hovertemplate=i.hovertemplate,d.texttemplate=i.texttemplate},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../lib/sort_object_keys\":526,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/cartesian/axis_format_attributes\":557,\"../scatter/attributes\":925,\"./constants\":979}],978:[function(t,e,r){\"use 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T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,g]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,g=m[p],v=m[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[g*y/h,x/h]}}return o}}},{\"../../components/drawing\":388,\"../../components/fx/helpers\":402,\"../../constants/interactions\":478,\"../../lib\":503,\"../../lib/gl_format_color\":499,\"../../plots/cartesian/axis_ids\":558,\"../../registry\":638,\"../scatter/make_bubble_size_func\":942,\"../scatter/subtypes\":950,\"./constants\":979,\"./helpers\":984,\"color-normalize\":89,\"fast-isnumeric\":190,\"svg-path-sdf\":310}],981:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/period_defaults\"),f=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),p=t(\"../scatter/fillcolor_defaults\"),d=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,g){function m(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,g,m);if(x){u(t,e,g,m),m(\"xhoverformat\"),m(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";m(\"text\"),m(\"hovertext\"),m(\"hovertemplate\"),m(\"mode\",b),l.hasLines(e)&&(m(\"connectgaps\"),h(t,e,r,g,m),m(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,g,m),m(\"marker.line.width\",v||y?1:0)),l.hasText(e)&&(m(\"texttemplate\"),d(t,e,g,m));var _=(e.line||{}).color,w=(e.marker||{}).color;m(\"fill\"),\"none\"!==e.fill&&p(t,e,r,m);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,m)}else e.visible=!1}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/constants\":929,\"../scatter/fillcolor_defaults\":933,\"../scatter/line_defaults\":938,\"../scatter/marker_defaults\":944,\"../scatter/period_defaults\":945,\"../scatter/subtypes\":950,\"../scatter/text_defaults\":951,\"../scatter/xy_defaults\":952,\"./attributes\":977,\"./helpers\":984}],982:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\"),a=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},m=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(m.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],m.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;m.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(m)}}},{\"../../components/color\":366,\"../../constants/interactions\":478,\"../../lib\":503}],983:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},{\"../scatter/format_labels\":934}],984:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":979}],985:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var g=d&&d.line;g&&(h.mlc=Array.isArray(g.color)?g.color[f]:g.color,h.mlw=i.isArrayOrTypedArray(g.width)?g.width[f]:g.width);var m=d&&d.gradient;m&&\"none\"!==m.type&&(h.mgt=Array.isArray(m.type)?m.type[f]:m.type,h.mgc=Array.isArray(m.color)?m.color[f]:m.color);var v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:A?A[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d,g=t.cd,m=g[0].t,v=g[0].trace,y=t.xa,x=t.ya,b=m.x,_=m.y,w=y.c2p(e),T=x.c2p(r),k=t.distance;if(m.tree){var A=y.p2c(w-k),M=y.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?m.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):m.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=m.ids;var L=k;if(\"x\"===n){var C=!!v.xperiodalignment,P=!!v.yperiodalignment;for(u=0;u<i.length;u++){if(l=b[a=i[u]],f=Math.abs(y.c2p(l)-w),C){var I=y.c2p(v._xStarts[a]),O=y.c2p(v._xEnds[a]);f=w>=Math.min(I,O)&&w<=Math.max(I,O)?0:1/0}if(f<L){if(L=f,c=_[a],h=x.c2p(c)-T,P){var z=x.c2p(v._yStarts[a]),D=x.c2p(v._yEnds[a]);h=T>=Math.min(z,D)&&T<=Math.max(z,D)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=b[a=i[u]],c=_[a],f=y.c2p(l)-w,h=x.c2p(c)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,v)]},calcHover:o}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/get_trace_color\":935}],986:[function(t,e,r){\"use strict\";var n=t(\"./hover\");e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../scatter/cross_trace_defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:n.hoverPoints,selectPoints:t(\"./select\"),meta:{}}},{\"../../plots/cartesian\":568,\"../scatter/cross_trace_defaults\":931,\"../scatter/marker_colorbar\":943,\"./attributes\":977,\"./calc\":978,\"./defaults\":981,\"./format_labels\":983,\"./hover\":985,\"./plot\":987,\"./select\":989}],987:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"regl-line2d\"),a=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../components/dragelement/helpers\").selectMode,c=t(\"../../lib/prepare_regl\"),u=t(\"../scatter/subtypes\"),f=t(\"../scatter/link_traces\"),h=t(\"./edit_style\").styleTextSelection;function p(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,c=i.r*n,u=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-c-(1-e.domain[1])*f,o-u-(1-r.domain[1])*h]}e.exports=function(t,e,r){if(r.length){var d,g,m=t._fullLayout,v=e._scene,y=e.xaxis,x=e.yaxis;if(v)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])){var b=v.count,_=m._glcanvas.data()[0].regl;if(f(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=a(_)),!0===v.line2d&&(v.line2d=i(_)),!0===v.scatter2d&&(v.scatter2d=n(_)),!0===v.fill2d&&(v.fill2d=i(_)),!0===v.glText)for(v.glText=new Array(b),d=0;d<b;d++)v.glText[d]=new o(_);if(v.glText){if(b>v.glText.length){var w=b-v.glText.length;for(d=0;d<w;d++)v.glText.push(new o(_))}else if(b<v.glText.length){var T=v.glText.length-b;v.glText.splice(b,T).forEach((function(t){t.destroy()}))}for(d=0;d<b;d++)v.glText[d].update(v.textOptions[d])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var g=s._nexttrace;if(g){var m=v.lineOptions[e+1];if(m){var y=m.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=g.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=v.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),v.fill2d.update(v.fillOptions))}var A=m.dragmode,M=l(A),S=m.clickmode.indexOf(\"select\")>-1;for(d=0;d<b;d++){var E=r[d][0],L=E.trace,C=E.t,P=C.index,I=L._length,O=C.x,z=C.y;if(L.selectedpoints||M||S){if(M||(M=!0),L.selectedpoints){var D=v.selectBatch[P]=s.selIndices2selPoints(L),R={};for(g=0;g<D.length;g++)R[D[g]]=1;var F=[];for(g=0;g<I;g++)R[g]||F.push(g);v.unselectBatch[P]=F}var B=C.xpx=new Array(I),N=C.ypx=new Array(I);for(g=0;g<I;g++)B[g]=y.c2p(O[g]),N[g]=x.c2p(z[g])}else C.xpx=C.ypx=null}if(M){if(v.select2d||(v.select2d=n(m._glcanvas.data()[1].regl)),v.scatter2d){var j=new Array(b);for(d=0;d<b;d++)j[d]=v.selectBatch[d].length||v.unselectBatch[d].length?v.markerUnselectedOptions[d]:{};v.scatter2d.update(j)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&h(t)}))}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var U={viewport:p(m,y,x,t._context.plotGlPixelRatio),range:[(y._rl||y.range)[0],(x._rl||x.range)[0],(y._rl||y.range)[1],(x._rl||x.range)[1]]},V=s.repeat(U,v.count);v.fill2d&&v.fill2d.update(V),v.line2d&&v.line2d.update(V),v.error2d&&v.error2d.update(V.concat(V)),v.scatter2d&&v.scatter2d.update(V),v.select2d&&v.select2d.update(V),v.glText&&v.glText.forEach((function(t){t.update(U)}))}else v.init()}}},{\"../../components/dragelement/helpers\":384,\"../../lib\":503,\"../../lib/prepare_regl\":516,\"../scatter/link_traces\":941,\"../scatter/subtypes\":950,\"./edit_style\":982,\"gl-text\":225,\"regl-error2d\":279,\"regl-line2d\":280,\"regl-scatter2d\":281}],988:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(u[f].length){var h=n.repeat([],r.count);h[f]=u[f],o.draw(h)}else c[f].length||o.draw(f);s[f]&&r.textOptions[f]&&s[f].render()}l&&l.draw(c),r.dirty=!1},r.destroy=function(){r.fill2d&&r.fill2d.destroy&&r.fill2d.destroy(),r.scatter2d&&r.scatter2d.destroy&&r.scatter2d.destroy(),r.error2d&&r.error2d.destroy&&r.error2d.destroy(),r.line2d&&r.line2d.destroy&&r.line2d.destroy(),r.select2d&&r.select2d.destroy&&r.select2d.destroy(),r.glText&&r.glText.forEach((function(t){t.destroy&&t.destroy()})),r.lineOptions=null,r.fillOptions=null,r.markerOptions=null,r.markerSelectedOptions=null,r.markerUnselectedOptions=null,r.errorXOptions=null,r.errorYOptions=null,r.textOptions=null,r.textSelectedOptions=null,r.textUnselectedOptions=null,r.selectBatch=null,r.unselectBatch=null,e._scene=null}),r.dirty||n.extendFlat(r,i),r}},{\"../../lib\":503}],989:[function(t,e,r){\"use strict\";var n=t(\"../scatter/subtypes\"),i=t(\"./edit_style\").styleTextSelection;e.exports=function(t,e){var r=t.cd,a=t.xaxis,o=t.yaxis,s=[],l=r[0].trace,c=r[0].t,u=l._length,f=c.x,h=c.y,p=c._scene,d=c.index;if(!p)return s;var g=n.hasText(l),m=n.hasMarkers(l),v=!m&&!g;if(!0!==l.visible||v)return s;var y=[],x=[];if(!1!==e&&!e.degenerate)for(var b=0;b<u;b++)e.contains([c.xpx[b],c.ypx[b]],!1,b,t)?(y.push(b),s.push({pointNumber:b,x:a.c2d(f[b]),y:o.c2d(h[b])})):x.push(b);if(m){var _=p.scatter2d;if(y.length||x.length){if(!p.selectBatch[d].length&&!p.unselectBatch[d].length){var w=new Array(p.count);w[d]=p.markerUnselectedOptions[d],_.update.apply(_,w)}}else{var T=new Array(p.count);T[d]=p.markerOptions[d],_.update.apply(_,T)}}return p.selectBatch[d]=y,p.unselectBatch[d]=x,g&&i(r),s}},{\"../scatter/subtypes\":950,\"./edit_style\":982}],990:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,f=t(\"../../plot_api/edit_types\").overrideAll,h=a.line,p=a.marker;e.exports=f({lon:a.lon,lat:a.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:h.color,width:h.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\"marker\")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/mapbox/layout_attributes\":615,\"../../plots/template_attributes\":633,\"../scatter/attributes\":925,\"../scattergeo/attributes\":967}],991:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../constants/numerical\").BADNUM,o=t(\"../../lib/geojson_utils\"),s=t(\"../../components/colorscale\"),l=t(\"../../components/drawing\"),c=t(\"../scatter/make_bubble_size_func\"),u=t(\"../scatter/subtypes\"),f=t(\"../../plots/mapbox/convert_text_opts\"),h=t(\"../../components/fx/helpers\").appendArrayPointValue,p=t(\"../../lib/svg_text_utils\").NEWLINES,d=t(\"../../lib/svg_text_utils\").BR_TAG_ALL;function g(){return{geojson:o.makeBlank(),layout:{visibility:\"none\"},paint:{}}}function m(t,e){return i.isArrayOrTypedArray(t)?e?function(e){return n(t[e])?+t[e]:0}:function(e){return t[e]}:t?function(){return t}:v}function v(){return\"\"}function y(t){return t[0]===a}e.exports=function(t,e){var r,a=e[0].trace,x=!0===a.visible&&0!==a._length,b=\"none\"!==a.fill,_=u.hasLines(a),w=u.hasMarkers(a),T=u.hasText(a),k=w&&\"circle\"===a.marker.symbol,A=w&&\"circle\"!==a.marker.symbol,M=g(),S=g(),E=g(),L=g(),C={fill:M,line:S,circle:E,symbol:L};if(!x)return C;if((b||_)&&(r=o.calcTraceToLineCoords(e)),b&&(M.geojson=o.makePolygon(r),M.layout.visibility=\"visible\",i.extendFlat(M.paint,{\"fill-color\":a.fillcolor})),_&&(S.geojson=o.makeLine(r),S.layout.visibility=\"visible\",i.extendFlat(S.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),k){var P=function(t){var e,r,a,o,u=t[0].trace,f=u.marker,h=u.selectedpoints,p=i.isArrayOrTypedArray(f.color),d=i.isArrayOrTypedArray(f.size),g=i.isArrayOrTypedArray(f.opacity);function m(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(f):i.identity);d&&(a=c(u));g&&(o=function(t){return m(n(t)?+i.constrain(t,0,1):0)});var v,x=[];for(e=0;e<t.length;e++){var 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A={};u.label&&(A.label=u.label),u.hasOwnProperty(\"v\")&&(A.value=u.v,A.valueLabel=b.formatValue(u.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),u.hasOwnProperty(\"color\")&&(A.color=u.color);var M=s.castOption(r,u.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},{\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../bar/style\":662,\"../bar/uniform_text\":664,\"../pie/helpers\":904,\"../pie/plot\":908,\"./constants\":1047,\"./fx\":1049,\"./helpers\":1050,\"./style\":1055,\"@plotly/d3\":58,\"d3-hierarchy\":115,\"d3-interpolate\":116}],1055:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/color\"),a=t(\"../../lib\"),o=t(\"../bar/uniform_text\").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,\"marker.line.color\")||i.defaultLine,c=a.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",c).call(i.fill,n.color).call(i.stroke,l).style(\"opacity\",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\"opacity\",r.opacity),e.selectAll(\"path.surface\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{\"../../components/color\":366,\"../../lib\":503,\"../bar/uniform_text\":664,\"@plotly/d3\":58}],1056:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;function u(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=e.exports=c(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:u(),y:u(),z:u()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),\"calc\",\"nested\");f.x.editType=f.y.editType=f.z.editType=\"calc+clearAxisTypes\",f.transforms=void 0},{\"../../components/color\":366,\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/cartesian/axis_format_attributes\":557,\"../../plots/template_attributes\":633}],1057:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],1058:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_surface3d,i=t(\"../../../stackgl_modules\").ndarray,a=t(\"../../../stackgl_modules\").ndarray_linear_interpolate.d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),f=t(\"../../components/colorscale\").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function g(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function m(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(g(t,n))}return e}function v(t){for(var e=m(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(i,[l,c],n),t.set(l,c,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(u,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,u,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=c(t),g=l.dataScale,m=t.z[0].length,v=t._ylength,y=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<m;r++)x[e][r]=[];for(r=0;r<m;r++)for(n=0;n<v;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<m;r++)for(t._interpolatedZ[r]=[],n=0;n<v;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=g[e];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(m*v),[m,v]),i(new Float32Array(m*v),[m,v]),i(new Float32Array(m*v),[m,v])];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)b[e].set(r,n,x[e][r][n]);x=[];var w={colormap:d,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},T=f(t);if(w.intensityBounds=[T.min,T.max],t.surfacecolor){var k=i(new Float32Array(m*v),[m,v]);for(r=0;r<m;r++)for(n=0;n<v;n++)k.set(r,n,t.surfacecolor[n][r]);b.push(k)}else w.intensityBounds[0]*=g[2],w.intensityBounds[1]*=g[2];(_<b[0].shape[0]||_<b[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(b[0].shape[0],0),this.dataScaleY=this.estimateScale(b[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(b)),t.surfacecolor&&(w.intensity=b.pop());var A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=y[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z])},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{\"../../../stackgl_modules\":1119,\"../../components/colorscale\":378,\"../../lib\":503,\"../../lib/gl_format_color\":499,\"../../lib/str2rgbarray\":528,\"../heatmap/find_empties\":798,\"../heatmap/interp2d\":801}],1059:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");function s(t,e,r,n){var 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this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=u>>>13,p=0|o[1],d=8191&p,g=p>>>13,m=0|o[2],v=8191&m,y=m>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var mt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(g,U)|0,a=Math.imul(g,V);var vt=(c+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(g,q)|0,a=a+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(g,W)|0,a=a+Math.imul(g,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(g,J)|0,a=a+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(g,$)|0,a=a+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,a=a+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(g,at)|0,a=a+Math.imul(g,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,a=a+Math.imul(g,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,X)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,X)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(g,ft)|0,a=a+Math.imul(g,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,gt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,gt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((a=a+Math.imul(g,gt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,gt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,gt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,gt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,gt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,gt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,gt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,gt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,gt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,gt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,gt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,gt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=mt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function g(t,e,r){return(new m).mulp(t,e,r)}function m(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):g(this,t,e)},m.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},m.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},m.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},m.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],m=r[u+p+o],v=n[u+p+o],y=f*m-h*v;v=f*v+h*m,m=y,r[u+p]=d+m,n[u+p]=g+v,r[u+p+o]=d-m,n[u+p+o]=g-v,p!==s&&(y=l*f-c*h,h=l*h+c*f,f=y)}},m.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},m.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},m.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},m.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},m.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},m.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),g(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return 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fffffffe fffffc2f\")}function b(){y.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){y.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){y.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}y.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},y.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},y.prototype.split=function(t,e){t.iushrn(this.n,0,e)},y.prototype.imulK=function(t){return t.imul(this.k)},i(x,y),x.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,y),i(_,y),i(w,y),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return v[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var f=this.pow(u,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var g=p,m=0;0!==g.cmp(s);m++)g=g.redSqr();n(m<d);var v=this.pow(f,new a(1).iushln(d-m-1));h=h.redMul(v),f=v.redSqr(),p=p.redMul(f),d=m}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var f=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(void 0===e||e,this)},{buffer:2}],34:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,i=t.length,a=0;for(e=0;e<i;++e)a+=t[e].length;var o=new Array(a),s=0;for(e=0;e<i;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),f=0;for(n=0;n<c;++n)n!==r&&(u[f++]=l[n]);if(1&r){var h=u[1];u[1]=u[0],u[0]=h}}}return o}},{}],35:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return f(t);case 2:return\"function\"==typeof e?c(t,t,e,!0):h(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}};var n,i=t(\"typedarray-pool\"),a=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function s(t,e){for(var r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var i=0,a=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[i++]=c[u];n[a++]=o}}return a}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var f,h=i.mallocDouble(2*u*s),p=i.mallocInt32(s);if((s=l(t,u,h,p))>0){if(1===u&&n)a.init(s),f=a.sweepComplete(u,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*u*c),g=i.mallocInt32(c);(c=l(e,u,d,g))>0&&(a.init(s+c),f=1===u?a.sweepBipartite(u,r,0,s,h,p,0,c,d,g):o(u,r,n,s,h,p,c,d,g),i.free(d),i.free(g))}i.free(h),i.free(p)}return f}}}function u(t,e){n.push([t,e])}function f(t){return n=[],c(t,t,u,!0),n}function h(t,e){return n=[],c(t,e,u,!1),n}},{\"./lib/intersect\":37,\"./lib/sweep\":41,\"typedarray-pool\":308}],36:[function(t,e,r){\"use strict\";function n(t){return t?function(t,e,r,n,i,a,o,s,l,c,u){return i-n>l-s?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],g=a[e+p+t],m=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=c[e+y+t],_=u[v];if(!(b<d||g<x)){for(var w=e+1;w<t;++w){var T=a[w+p],k=a[w+t+p],A=c[w+y],M=c[w+t+y];if(k<A||M<T)continue t}var S=r(m,_);if(void 0!==S)return S}}}}(t,e,r,n,i,a,o,s,l,c,u):function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=s,p=f*s;h<l;++h,p+=f){var d=c[e+p],g=c[e+p+t],m=u[h];t:for(var v=n,y=f*n;v<i;++v,y+=f){var x=a[e+y],b=a[e+y+t],_=o[v];if(!(g<x||b<d)){for(var w=e+1;w<t;++w){var T=a[w+y],k=a[w+t+y],A=c[w+p],M=c[w+t+p];if(k<A||M<T)continue t}var S=r(_,m);if(void 0!==S)return S}}}}(t,e,r,n,i,a,o,s,l,c,u)}:function(t,e,r,n,i,a,o,s,l,c,u,f){return a-i>c-l?n?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],g=a[e+p+t],m=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=u[v];if(!(x<=d||g<x)){for(var _=e+1;_<t;++_){var w=a[_+p],T=a[_+t+p],k=c[_+y],A=c[_+t+y];if(T<k||A<w)continue t}var M=r(b,m);if(void 0!==M)return 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e=i.nextPow2(t);o.length<e&&(n.free(o),o=n.mallocInt32(e));s.length<e&&(n.free(s),s=n.mallocInt32(e));l.length<e&&(n.free(l),l=n.mallocInt32(e));c.length<e&&(n.free(c),c=n.mallocInt32(e));u.length<e&&(n.free(u),u=n.mallocInt32(e));f.length<e&&(n.free(f),f=n.mallocInt32(e));var r=8*e;h.length<r&&(n.free(h),h=n.mallocDouble(r))},sweepBipartite:function(t,e,r,n,i,u,f,g,m,v){for(var y=0,x=2*t,b=t-1,_=x-1,w=r;w<n;++w){var T=u[w],k=x*w;h[y++]=i[k+b],h[y++]=-(T+1),h[y++]=i[k+_],h[y++]=T}for(w=f;w<g;++w){T=v[w]+(1<<28);var A=x*w;h[y++]=m[A+b],h[y++]=-T,h[y++]=m[A+_],h[y++]=T}var M=y>>>1;a(h,M);var S=0,E=0;for(w=0;w<M;++w){var L=0|h[2*w+1];if(L>=1<<28)p(l,c,E--,L=L-(1<<28)|0);else if(L>=0)p(o,s,S--,L);else if(L<=-(1<<28)){L=-L-(1<<28)|0;for(var C=0;C<S;++C){if(void 0!==(P=e(o[C],L)))return P}d(l,c,E++,L)}else{L=-L-1|0;for(C=0;C<E;++C){var P;if(void 0!==(P=e(L,l[C])))return P}d(o,s,S++,L)}}},sweepComplete:function(t,e,r,n,i,g,m,v,y,x){for(var b=0,_=2*t,w=t-1,T=_-1,k=r;k<n;++k){var 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e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new h(this,n);r=i<=0?r.left:r.right}return new h(this,[])},l.remove=function(t){var e=this.find(t);return e?e.remove():this},l.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var p=h.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function g(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(p,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new h(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var h=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=i(n)).left=i(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),h.left===r?h.left=null:h.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error(\"Can't update empty node!\");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],70:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t(\"./lib/text.js\"),i=t(\"./lib/lines.js\"),a=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],m={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||m;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E=g;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,F=1,\"auto\"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),\"auto\"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":71,\"./lib/cube.js\":72,\"./lib/lines.js\":73,\"./lib/text.js\":75,\"./lib/ticks.js\":76}],71:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var g=-1;g<=1;g+=2)f[u]=g,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var m=c;c=u,u=m}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],72:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);o(c[O],c[P],c[I],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);var O,z=d([l[O],l[P],l[I],l[O+(1<<M)+(1<<S)]]);C?E=z:L=z}L>E&&(w|=1<<A)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=m,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return v};var n=t(\"bit-twiddle\"),i=t(\"gl-mat4/multiply\"),a=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var g=[1,1,1],m=[0,0,0],v={cubeEdges:g,axis:m}},{\"bit-twiddle\":32,\"gl-mat4/multiply\":100,\"robust-orientation\":284,\"split-polygon\":300}],73:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var g=+r[f][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var m=o.length/3|0;s[f]=h,l[f]=m-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){g=+r[f][v].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}m=o.length/3|0;c[f]=h,u[f]=m-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=f(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],74:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){\"use strict\";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,g=p.length;d<g;++d)for(var m=p[d],v=2;v>=0;--v){var y=h[m[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var g=0;g<n[d].length;++g)n[d][g].text&&s(n[d][g].x,n[d][g].text,n[d][g].font||i,n[d][g].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=f,this.labelCount=h},u.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this)}).call(this,t(\"_process\"))},{\"./shaders\":74,_process:5,\"gl-buffer\":78,\"gl-vao\":150,\"vectorize-text\":311}],76:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var f=\"\"+c;f.length<i;)f=\"0\"+f;return u+\".\"+f}return u}r.create=function(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},{}],77:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,f){var h=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,v,x,y)).axis;o(u,p,h),o(u,v,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=m;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=y?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var I=d(m,u,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(I[C])))}}}}return _};var n=t(\"extract-frustum-planes\"),i=t(\"split-polygon\"),a=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var g=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],m=[0,0,0]},{\"./lib/cube.js\":72,\"extract-frustum-planes\":67,\"gl-mat4/multiply\":100,\"gl-mat4/transpose\":109,\"gl-vec4/transformMat4\":221,\"split-polygon\":300}],78:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),i=t(\"ndarray-ops\"),a=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:259,\"ndarray-ops\":254,\"typedarray-pool\":308}],79:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,g=[],m=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(m=Math.min(m,_),v=!1):v=!0}v||(p=x,d=b),g.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(m)||(m=1),a.vectorScale=m;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A;y=0;for(var M=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=g[y],P=n.length(C)*k,I=0;I<8;I++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:\"cone\"})}},{\"./create_mesh\":80,\"./lib/shaders\":81,\"gl-vec3\":169}],80:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function g(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var m=0;m<p.length;++m){var v=p[m];d=Math.min(d,v),g=Math.max(g,v)}else for(m=0;m<n.length;++m){v=n[m][2];d=Math.min(d,v),g=Math.max(g,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(m=0;m<n.length;++m)for(var y=n[m],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(m=0;m<r.length;++m){var _=r[m];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(A[0],A[1]),f.push(m)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/h}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=g(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),m=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,m,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],81:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:231}],82:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORM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t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var g=this,m=[0|e,0|r];Object.defineProperties(m,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=m,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,m,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),f(x)}u(r,e)}(this)}var g=d.prototype;function m(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return m(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return m(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,m(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":146}],87:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,i=t(\"gl-constants/lookup\"),a=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));h[g]=d}}var m=o(e).split(\"\\n\");for(p=0;p<m.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=m[p];if(c+=v+\"\\n\",h[p+1]){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":9,\"gl-constants/lookup\":83,\"glsl-shader-name\":223,\"sprintf-js\":301}],88:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),i=t(\"iota-array\"),a=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=i.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],g=t.colorValues||[0,0,0,1],m=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,I;l?(P=x*(o[C]-u),I=x*(o[C+1]-u)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-u):x*(o[C]-(o[C]-o[C-1])/2-u),I=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-u):x*(o[C]+(o[C]-o[C-1])/2-u));for(var O=0;O<E;++O){var z,D;l?(z=y*(r[O]-c),D=y*(r[O+1]-c)):(z=O<b-1?y*(r[O]-(r[O+1]-r[O])/2-c):y*(r[O]-(r[O]-r[O-1])/2-c),D=O<b-1?y*(r[O]+(r[O+1]-r[O])/2-c):y*(r[O]+(r[O]-r[O-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(O+U):C*b+O],q=n.le(d,H);if(q<0)F=g[0],B=g[1],N=g[2],j=g[3];else if(q===m-1)F=g[4*m-4],B=g[4*m-3],N=g[4*m-2],j=g[4*m-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Y=1-G,W=4*q,X=4*(q+1);F=Y*g[W]+G*g[X],B=Y*g[W+1]+G*g[X+1],N=Y*g[W+2]+G*g[X+2],j=Y*g[W+3]+G*g[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*z+.5*D,k[2*S+1]=.5*P+.5*I,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+O,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":89,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"iota-array\":235,\"typedarray-pool\":308}],89:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:231}],90:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\"gl-shader\":132,glslify:231}],91:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var g=new v(e,r,o,s,l,d);return g.update(t),g};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function g(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function m(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:g(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:g(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],g=t.lineWidth||1,m=!1;t:for(e=1;e<h.length;++e){var v,y,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,m=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(g)?g.length>e-1?g[e-1]:g.length>0?g[g.length-1]:[0,0,0,1]:g;var T=s;if(s+=d(b,_),m){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,m=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new m(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new m(e,u,h,this.points[h])}},{\"./lib/shaders\":90,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],92:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],93:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return 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t[0]=1-(p+g),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+g),t[6]=d+m,t[7]=0,t[8]=h+v,t[9]=d-m,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],97:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],98:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],g=e[13],m=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*g-f*d,A=u*m-h*d,M=u*v-p*d,S=f*m-h*g,E=f*v-p*g,L=h*v-p*m,C=y*L-x*E+b*S+_*M-w*A+T*k;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(g*T-m*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-c*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(m*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*M+c*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-g*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(g*x-d*_-m*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],99:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,g=e[0],m=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(g-_)<1e-6&&Math.abs(m-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=g-_,h=m-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*g+o*m+s*v),t[13]=-(l*g+c*m+u*v),t[14]=-(f*g+h*m+p*v),t[15]=1,t}},{\"./identity\":97}],100:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],g=e[12],m=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*g,t[1]=x*i+b*l+_*h+w*m,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*g,t[5]=x*i+b*l+_*h+w*m,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*g,t[9]=x*i+b*l+_*h+w*m,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*g,t[13]=x*i+b*l+_*h+w*m,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],101:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],102:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],103:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],g=e[8],m=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+g*_,t[1]=l*x+h*b+m*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+g*k,t[5]=l*w+h*T+m*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+g*S,t[9]=l*A+h*M+m*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],104:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],105:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],106:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],107:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],108:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,g=r[0],m=r[1],v=r[2];e===t?(t[12]=e[0]*g+e[4]*m+e[8]*v+e[12],t[13]=e[1]*g+e[5]*m+e[9]*v+e[13],t[14]=e[2]*g+e[6]*m+e[10]*v+e[14],t[15]=e[3]*g+e[7]*m+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*g+s*m+f*v+e[12],t[13]=i*g+l*m+h*v+e[13],t[14]=a*g+c*m+p*v+e[14],t[15]=o*g+u*m+d*v+e[15]);return t}},{}],109:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],110:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),i=t(\"polytope-closest-point/lib/closest_point_2d.js\");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[f][g]-e[g],2);d<p&&(p=d,h=f)}var m=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(f=0;f<3;++f){if(m[f]<-.001||m[f]>1.0001)return null;v+=m[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,m),m]}},{barycentric:14,\"polytope-closest-point/lib/closest_point_2d.js\":270}],111:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:231}],112:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),f=t(\"colormap\"),h=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),g=t(\"./lib/closest-point\"),m=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=m,this.edgeUVs=v,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],g=n[f][1],m=i[f],v=1-m,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=m*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],h=[],p=[],d=[],g=[],m=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,O=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!I)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(O)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<O.length;++R){F=O[R];z=Math.min(z,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];z=Math.min(z,F),D=Math.max(D,F)}this.intensity=P||(O||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(O||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],g.push(Z[0],Z[1]),m.push(R)}H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],c.push(Z[0],Z[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var f,h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],f=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=g(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=M(t),s=S(t),l=E(t),c=L(t),f=C(t),h=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),g=i(t),m=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),A=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=i(t),O=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:O,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,g,m,v,x,b,k,_,w,A,I,R,O,z,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":110,\"./lib/shaders\":111,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,normals:261,\"simplicial-complex-contour\":291,\"typedarray-pool\":308}],113:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],114:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var m=a[g],v=a[g+2]-m,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*v/x,c[g]=2*(m-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){f[0]=f[1]=0,f[g]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=h[g];var _=6*n[g].length;p[g]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,m=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,I=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),O=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*I,D=6*Math.max(0,O-I),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(g[0]-E[1])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[1]*m/y,o[1]=L[1]*m/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[1]-E[0])/x-1,o[0]=L[0]*m/y,o[1]=E[0]*m/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(g[2]+E[3])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[3]*m/y,o[1]=L[3]*m/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[3]+E[2])/x-1,o[0]=L[2]*m/y,o[1]=E[2]*m/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[i++]=d,n[i++]=h[g],n[i++]=p[g]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132}],115:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],116:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:231}],117:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,m=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*g[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*g[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],g=a[o+2]-f,m=i[o],v=i[o+2]-m;p[o]=2*l/u*g/v,h[o]=2*(s-c)/u*g/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,g=p.text,m=p.font||\"sans-serif\";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=g.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(m,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"text-cache\":303}],118:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),i=t(\"./lib/grid\"),a=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],h[d]):o.drawLine(e[0],g,e[2],g,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var m=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(m[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),m[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),m[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),m[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":113,\"./lib/grid\":114,\"./lib/line\":115,\"./lib/text\":117,\"gl-select-static\":131}],119:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,h=!!a.control,p=!!a.alt,g=!!a.shift,m=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&m&&!h&&!p&&!g||m&&!h&&!p&&g)&&c.rotate(A,w*k*b,-T*k*_,0),(l&&m&&!h&&!p&&!g||v||m&&h&&!p&&!g)&&c.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&m&&!h&&!p&&!g||y||m&&!h&&p&&!g)){var M=-d.zoomSpeed*_/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),i=t(\"3d-view\"),a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":7,\"has-passive-events\":232,\"mouse-change\":247,\"mouse-event-offset\":248,\"mouse-wheel\":250,\"right-now\":278}],120:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":132,glslify:231}],121:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),i=t(\"gl-axes3d\"),a=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),f=t(\"gl-mat4/perspective\"),h=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function g(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function m(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new g,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:A,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,O=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,F);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function H(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",H),N.mouseListener.enabled=!1,!N.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(O=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(L[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",H);var q=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[q[0].slice(),q[1].slice()];function Y(){if(!H()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,O=O||t,A.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=q[0],i=q[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=N.pixelRatio,C.axes=N.axes,I=I||!!C.dirty,O=O||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var g=.05*(i[p]-n[p]);n[p]=n[p]-g,i[p]=i[p]+g}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(O=O||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=m((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:y}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var g=0;for(d=0;d<3;++d)g=Math.max(g,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/g,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(C=E[o]).axesBounds=d,N.clipToBounds&&(C.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),O&&(O=!1,function(){if(!H()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;A.enable&&(M=M||A.isTransparent(),A.draw(R)),S.axes=A,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(C=E[o]).axes=A,C.pixelRatio=N.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(R),C.isTransparent&&C.isTransparent()&&(M=!0)}if(M){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":119,\"./lib/shader\":120,\"a-big-triangle\":8,\"gl-axes3d\":70,\"gl-axes3d/properties\":77,\"gl-fbo\":86,\"gl-mat4/ortho\":101,\"gl-mat4/perspective\":102,\"gl-select-static\":131,\"gl-spikes3d\":141,\"is-mobile\":238,\"mouse-change\":247}],122:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:231}],123:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":122,\"gl-buffer\":78,\"gl-shader\":132,\"typedarray-pool\":308}],124:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],g=r[2],m=r[3];(a=c*p+u*d+f*g+h*m)<0&&(a=-a,p=-p,d=-d,g=-g,m=-m);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*g,t[3]=s*h+l*m,t}},{}],125:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],126:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{\"vectorize-text\":311}],127:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},m={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,g)},r.createPickProject=function(t){return v(t,m)}},{\"gl-shader\":132,glslify:231}],128:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t||t>1?1:t}function m(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),g=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new m(e,r,n,o,f,h,p,d,g,s,c,u);return v.update(t),v};var v=m.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,g=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(a[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*m]=0,i[m]<0?v[12+m]=d[0][m]:v[12+m]=d[1][m],s(v,c,v),l.model=v;var C=(m+1)%3,P=(m+2)%3,I=M(x),O=M(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,g[0],m,-1e8),l.fragClipBounds[1]=E(k,g[1],m,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a=\"\\u25bc\",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,m=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var H=0;Array.isArray(m)?H=n<m.length?+m[n]:0:m&&(H=+m);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var X=[Y*=Y>0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T<Z.length;++T)for(var K=Z[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)L[4*O+$]=D[$];P[O]=y;var tt=J[K[Q]];C[2*O]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*O+1]=V*(G*tt[0]+q*tt[1]+X[1]),O+=1}for(Z=A.edges,J=A.positions,T=0;T<Z.length;++T)for(K=Z[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=R[$];P[z]=y;tt=J[K[Q]];C[2*z]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*z+1]=V*(G*tt[0]+q*tt[1]+X[1]),z+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":125,\"./lib/glyphs\":126,\"./lib/shaders\":127,\"gl-buffer\":78,\"gl-mat4/multiply\":100,\"gl-vao\":150,\"is-string-blank\":239,\"typedarray-pool\":308}],129:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:231}],130:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var g=s[2]-s[0],m=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,g,m,i),o.drawBox(p,h,g,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":129,\"gl-buffer\":78,\"gl-shader\":132}],131:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),i=t(\"typedarray-pool\"),a=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||c<=l)return null;var u=[o-i,c-l],f=a(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),f=t.get(l,c,1),h=t.get(l,c,2),p=t.get(l,c,3);if(u<255||f<255||h<255||p<255){var d=e-l,g=r-c,m=d*d+g*g;m<n&&(n=m,i=l,a=c)}}return[i,a,n]}(f.hi(u[0],u[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":32,\"gl-fbo\":86,ndarray:259,\"typedarray-pool\":308}],132:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),i=t(\"./lib/create-attributes\"),a=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function f(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var 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w=c[y];if(w.type.indexOf(\"mat\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A<T;++A)k[A]=_.length,b.push(w.name+\"[\"+A+\"]\"),\"number\"==typeof w.location?_.push(w.location+A):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[A]?_.push(0|w.location[A]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\"number\"==typeof w.location?_.push(0|w.location):_.push(-1)}var M=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(M)>=0;)M+=1;_[y]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(h.program,r[t].name)}E(),h._relink=E,h.types={uniforms:a(r),attributes:a(c)},h.attributes=i(p,h,x,_),Object.defineProperty(h,\"uniforms\",n(p,h,r,S))},e.exports=function(t,e,r,n,i){var a=new c(t);return 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h=c,p=u,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":140,\"gl-buffer\":78,\"gl-vao\":150}],142:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:231}],143:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),i=t(\"gl-vec4\"),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],g=0,m=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),m=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(g,m,m,m,g,g);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=g;g=m,m=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],m=f.length;f=f.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var v=g.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+m)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),g=s(a[1],c),m=s(a[2],u),v=d+1,y=g+1,x=m+1;if(d=l(d,0,f-1),v=l(v,0,f-1),g=l(g,0,h-1),y=l(y,0,h-1),m=l(m,0,p-1),x=l(x,0,p-1),d<0||g<0||m<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][v],E=a[1][g],L=a[1][y],C=a[2][m],P=(o-M)/(S-M),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(g=h-1-g,y=h-1-y),r.reversedZ&&(m=p-1-m,x=p-1-x),r.filled){case 5:k=m,A=x,w=g*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=m,A=x,b=d*p,_=v*p,w=g*p*f,T=y*p*f;break;case 3:w=g,T=y,k=m*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=g,T=y,b=d*h,_=v*h,k=m*h*f,A=x*h*f;break;case 1:b=d,_=v,k=m*f,A=x*f,w=g*f*p,T=y*f*p;break;default:b=d,_=v,w=g*f,T=y*f,k=m*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,G,I);var X=n.create();return n.lerp(X,Y,W,O),X}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},m=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),m=c(n),v=Math.min(d,g,m);return isFinite(v)?v:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],I=[],O=d(C),z=C;I.push(O);var D=[],R=g(C,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),m.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.length<i&&T(C);){B++;var N=n.clone(O),j=n.squaredLength(N);if(0===j)break;if(j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-A>-1e-4*A){P.push(N),z=N,I.push(O);R=g(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(m,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t(\"./lib/shaders\"),f=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":142,\"gl-cone3d\":79,\"gl-vec3\":169,\"gl-vec4\":205}],144:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":132,glslify:231}],145:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var m=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",m.update(v),m};var n=t(\"bit-twiddle\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),f=t(\"ndarray\"),h=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),g=t(\"binary-search-bounds\"),m=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function M(t,e,r,n,i,a,o,l,c,u,h,p,d,g,m){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=m,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(f.uniforms.height=this.contourLevels[o][g],h.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return z.call(this,t,!1)},S.drawTransparent=function(t){return z.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=O;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,m=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*m;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var g=[0,0];g[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],g,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)m(x.pick(o),y[o],\"mirror\");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),A=x.get(1,o,v,1),M=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,L*P),b.set(o,v,2,C*P)}s.free(x.data);var I=[1/0,1/0,1/0],O=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+v+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Y=o+T[q][0],W=v+T[q][1],X=this._field[0].get(Y+1,W+1),Z=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=Z,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],X+this.objectOffset[0]),I[1]=Math.min(I[1],Z+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],X+this.objectOffset[0]),O[1]=Math.max(O[1],Z+this.objectOffset[1]),O[2]=Math.max(O[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,O],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var gt=($+dt+1)%3;for(V=0;V<2;++V){var mt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var vt=H?ht:1-ht;if(W=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[gt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=mt*vt;nt[dt]+=yt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),g=d.cells,m=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var v=g[e],y=0;y<2;++y){var x=m[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,I=T*L,O=T*E,z=C*f.get(_,M)+P*f.get(_,S)+I*f.get(w,M)+O*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+I*p.get(w,M)+O*p.get(w,S);if(isNaN(z)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{\"./lib/shaders\":144,\"binary-search-bounds\":31,\"bit-twiddle\":32,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,\"ndarray-gradient\":252,\"ndarray-ops\":254,\"ndarray-pack\":255,\"surface-nets\":302,\"typedarray-pool\":308}],146:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),i=t(\"ndarray-ops\"),a=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function g(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function m(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new p(t,o,r,n,i,a)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=g(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,h,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];h=a.malloc(v,r);var x=n(h,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):f(x,e),u=h.subarray(0,v)}var b=m(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||a.free(h),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var 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+       "/*!\n",
+       " * Determine if an object is a Buffer\n",
+       " *\n",
+       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
+       " * @license  MIT\n",
+       " */\n",
+       "e.exports=function(t){return null!=t&&(n(t)||function(t){return\"function\"==typeof t.readFloatLE&&\"function\"==typeof t.slice&&n(t.slice(0,0))}(t)||!!t._isBuffer)}},{}],238:[function(t,e,r){\"use strict\";e.exports=a,e.exports.isMobile=a,e.exports.default=a;var n=/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series[46]0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino/i,i=/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series[46]0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino|android|ipad|playbook|silk/i;function a(t){t||(t={});var 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l=0;l<3;++l){for(var c=0,f=0;f<3;++f)c+=r[l+4*f]*i[f];r[12+l]=-c}},h.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r},h.idle=function(t){this.center.idle(t),this.radius.idle(t),this.rotation.idle(t)},h.flush=function(t){this.center.flush(t),this.radius.flush(t),this.rotation.flush(t)},h.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=i[1],o=i[5],s=i[9],c=l(a,o,s);a/=c,o/=c,s/=c;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=l(u-=a*p,f-=o*p,h-=s*p);u/=d,f/=d,h/=d;var g=i[2],m=i[6],v=i[10],y=g*a+m*o+v*s,x=g*u+m*f+v*h,b=l(g-=y*a+x*u,m-=y*o+x*f,v-=y*s+x*h);g/=b,m/=b,v/=b;var _=u*e+a*r,w=f*e+o*r,T=h*e+s*r;this.center.move(t,_,w,T);var k=Math.exp(this.computedRadius[0]);k=Math.max(1e-4,k+n),this.radius.set(t,Math.log(k))},h.rotate=function(t,e,r,n){this.recalcMatrix(t),e=e||0,r=r||0;var i=this.computedMatrix,a=i[0],o=i[4],s=i[8],u=i[1],f=i[5],h=i[9],p=i[2],d=i[6],g=i[10],m=e*a+r*u,v=e*o+r*f,y=e*s+r*h,x=-(d*y-g*v),b=-(g*m-p*y),_=-(p*v-d*m),w=Math.sqrt(Math.max(0,1-Math.pow(x,2)-Math.pow(b,2)-Math.pow(_,2))),T=c(x,b,_,w);T>1e-6?(x/=T,b/=T,_/=T,w/=T):(x=b=_=0,w=1);var k=this.computedRotation,A=k[0],M=k[1],S=k[2],E=k[3],L=A*w+E*x+M*_-S*b,C=M*w+E*b+S*x-A*_,P=S*w+E*_+A*b-M*x,I=E*w-A*x-M*b-S*_;if(n){x=p,b=d,_=g;var O=Math.sin(n)/l(x,b,_);x*=O,b*=O,_*=O,I=I*(w=Math.cos(e))-(L=L*w+I*x+C*_-P*b)*x-(C=C*w+I*b+P*x-L*_)*b-(P=P*w+I*_+L*b-C*x)*_}var z=c(L,C,P,I);z>1e-6?(L/=z,C/=z,P/=z,I/=z):(L=C=P=0,I=1),this.rotation.set(t,L,C,P,I)},h.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var a=this.computedMatrix;i(a,e,r,n);var o=this.computedRotation;s(o,a[0],a[1],a[2],a[4],a[5],a[6],a[8],a[9],a[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},h.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},h.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var i=n[15];if(Math.abs(i)>1e-6){var a=n[12]/i,l=n[13]/i,c=n[14]/i;this.recalcMatrix(t);var f=Math.exp(this.computedRadius[0]);this.center.set(t,a-n[2]*f,l-n[6]*f,c-n[10]*f),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},h.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},h.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},h.getDistanceLimits=function(t){var e=this.radius.bounds;return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},h.toJSON=function(){return this.recalcMatrix(this.lastT()),{center:this.computedCenter.slice(),rotation:this.computedRotation.slice(),distance:Math.log(this.computedRadius[0]),zoomMin:this.radius.bounds[0][0],zoomMax:this.radius.bounds[1][0]}},h.fromJSON=function(t){var e=this.lastT(),r=t.center;r&&this.center.set(e,r[0],r[1],r[2]);var n=t.rotation;n&&this.rotation.set(e,n[0],n[1],n[2],n[3]);var i=t.distance;i&&i>0&&this.radius.set(e,Math.log(i)),this.setDistanceLimits(t.zoomMin,t.zoomMax)}},{\"./lib/quatFromFrame\":262,\"filtered-vector\":68,\"gl-mat4/fromQuat\":95,\"gl-mat4/invert\":98,\"gl-mat4/lookAt\":99}],264:[function(t,e,r){\n",
+       "/*!\n",
+       " * pad-left <https://github.com/jonschlinkert/pad-left>\n",
+       " *\n",
+       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
+       " * Licensed under the MIT license.\n",
+       " */\n",
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+       "/*!\n",
+       " * repeat-string <https://github.com/jonschlinkert/repeat-string>\n",
+       " *\n",
+       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
+       " * Licensed under the MIT License.\n",
+       " */\n",
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o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),g=Math.max(h,p,d);h===g?(s=s<0?-1:1,l=f=0):d===g?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var m=c(s,l,f);s/=m,l/=m,f/=m}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=c(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Y),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,I=E*k+L*A+C*M;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var O=e[2],z=e[6],D=e[10],R=O*s+z*l+D*f,F=O*x+z*b+D*_,B=O*k+z*A+D*M;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,Y=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-N*W,G-j*W,Y-U*W)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var i=(n=n||this.computedUp)[0],a=n[1],o=n[2],s=c(i,a,o);if(!(s<1e-6)){i/=s,a/=s,o/=s;var l=e[0]-r[0],f=e[1]-r[1],h=e[2]-r[2],p=c(l,f,h);if(!(p<1e-6)){l/=p,f/=p,h/=p;var d=this.computedRight,g=d[0],m=d[1],v=d[2],y=i*g+a*m+o*v,x=c(g-=y*i,m-=y*a,v-=y*o);if(!(x<.01&&(x=c(g=a*h-o*f,m=o*l-i*h,v=i*f-a*l))<1e-6)){g/=x,m/=x,v/=x,this.up.set(t,i,a,o),this.right.set(t,g,m,v),this.center.set(t,r[0],r[1],r[2]),this.radius.set(t,Math.log(p));var b=a*v-o*m,_=o*g-i*v,w=i*m-a*g,T=c(b,_,w),k=i*l+a*f+o*h,A=g*l+m*f+v*h,M=(b/=T)*l+(_/=T)*f+(w/=T)*h,S=Math.asin(u(k)),E=Math.atan2(M,A),L=this.angle._state,C=L[L.length-1],P=L[L.length-2];C%=2*Math.PI;var I=Math.abs(C+2*Math.PI-E),O=Math.abs(C-E),z=Math.abs(C-2*Math.PI-E);I<O&&(C+=2*Math.PI),z<O&&(C-=2*Math.PI),this.angle.jump(this.angle.lastT(),C,P),this.angle.set(t,E,S)}}}}},{\"filtered-vector\":68,\"gl-mat4/invert\":98,\"gl-mat4/rotate\":103,\"gl-vec3/cross\":157,\"gl-vec3/dot\":162,\"gl-vec3/normalize\":179}],306:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var i=t*e,a=n*t,o=a-(a-t),s=t-o,l=n*e,c=l-(l-e),u=e-c,f=s*u-(i-o*c-s*c-o*u);if(r)return r[0]=f,r[1]=i,r;return[f,i]};var n=+(Math.pow(2,27)+1)},{}],307:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var n=t+e,i=n-t,a=e-i,o=t-(n-i);if(r)return r[0]=o+a,r[1]=n,r;return[o+a,n]}},{}],308:[function(t,e,r){(function(e){(function(){\"use strict\";var 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null},r.mallocArrayBuffer=p,r.mallocUint8=d,r.mallocUint16=g,r.mallocUint32=m,r.mallocInt8=v,r.mallocInt16=y,r.mallocInt32=x,r.mallocFloat32=r.mallocFloat=b,r.mallocFloat64=r.mallocDouble=_,r.mallocUint8Clamped=w,r.mallocBigUint64=T,r.mallocBigInt64=k,r.mallocDataView=A,r.mallocBuffer=M,r.clearCache=function(){for(var t=0;t<32;++t)c.UINT8[t].length=0,c.UINT16[t].length=0,c.UINT32[t].length=0,c.INT8[t].length=0,c.INT16[t].length=0,c.INT32[t].length=0,c.FLOAT[t].length=0,c.DOUBLE[t].length=0,c.BIGUINT64[t].length=0,c.BIGINT64[t].length=0,c.UINT8C[t].length=0,u[t].length=0,f[t].length=0}}).call(this)}).call(this,void 0!==n?n:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{\"bit-twiddle\":32,buffer:3,dup:65}],309:[function(t,e,r){\"use strict\";function n(t){this.roots=new Array(t),this.ranks=new Array(t);for(var e=0;e<t;++e)this.roots[e]=e,this.ranks[e]=0}e.exports=n;var i=n.prototype;Object.defineProperty(i,\"length\",{get:function(){return this.roots.length}}),i.makeSet=function(){var t=this.roots.length;return this.roots.push(t),this.ranks.push(0),t},i.find=function(t){for(var e=t,r=this.roots;r[t]!==t;)t=r[t];for(;r[e]!==t;){var n=r[e];r[e]=t,e=n}return t},i.link=function(t,e){var r=this.find(t),n=this.find(e);if(r!==n){var i=this.ranks,a=this.roots,o=i[r],s=i[n];o<s?a[r]=n:s<o?a[n]=r:(a[n]=r,++i[r])}}},{}],310:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){return 0===t.length?t:e?(r||t.sort(e),function(t,e){for(var r=1,n=t.length,i=t[0],a=t[0],o=1;o<n;++o)if(a=i,e(i=t[o],a)){if(o===r){r++;continue}t[r++]=i}return t.length=r,t}(t,e)):(r||t.sort(),function(t){for(var e=1,r=t.length,n=t[0],i=t[0],a=1;a<r;++a,i=n)if(i=n,(n=t[a])!==i){if(a===e){e++;continue}t[e++]=n}return t.length=e,t}(t))}},{}],311:[function(t,e,r){\"use strict\";e.exports=function(t,e){\"object\"==typeof e&&null!==e||(e={});return n(t,e.canvas||i,e.context||a,e)};var n=t(\"./lib/vtext\"),i=null,a=null;\"undefined\"!=typeof 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n=t(\"surface-nets\"),i=t(\"ndarray\"),a=t(\"simplify-planar-graph\"),o=t(\"clean-pslg\"),s=t(\"cdt2d\"),l=t(\"planar-graph-to-polyline\");function c(t,e,r,n){for(var i=\"<\"+t+\">\",a=\"</\"+t+\">\",o=i.length,s=a.length,l=\"+\"===e[0]||\"-\"===e[0],c=0,u=-s;c>-1&&-1!==(c=r.indexOf(i,c))&&-1!==(u=r.indexOf(a,c+o))&&!(u<=c);){for(var f=c;f<u+s;++f)if(f<c+o||f>=u)n[f]=null,r=r.substr(0,f)+\" \"+r.substr(f+1);else if(null!==n[f]){var h=n[f].indexOf(e[0]);-1===h?n[f]+=e:l&&(n[f]=n[f].substr(0,h+1)+(1+parseInt(n[f][h+1]))+n[f].substr(h+2))}var p=c+o,d=r.substr(p,u-p).indexOf(i);c=-1!==d?d:u+s}return n}function u(t,e){var r=n(t,128);return e?a(r.cells,r.positions,.25):{edges:r.cells,positions:r.positions}}function f(t,e,r,n){var i=u(t,n),a=function(t,e,r){for(var n=e.textAlign||\"start\",i=e.textBaseline||\"alphabetic\",a=[1<<30,1<<30],o=[0,0],s=t.length,l=0;l<s;++l)for(var c=t[l],u=0;u<2;++u)a[u]=0|Math.min(a[u],c[u]),o[u]=0|Math.max(o[u],c[u]);var 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+       "        });\n",
+       "        require(['plotly'], function(Plotly) {\n",
+       "            window._Plotly = Plotly;\n",
+       "        });\n",
+       "        }\n",
+       "        </script>\n",
+       "        "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "data": {
       "application/vnd.plotly.v1+json": {
@@ -662,15 +748,15 @@
           "gasdev",
           "fftma2",
           "covariance",
-          "cov_value",
           "ran2",
-          "fourt",
+          "cov_value",
           "cgrid",
           "length",
-          "clean_real",
-          "prebuild_gwn",
+          "fourt",
+          "maxfactor",
           "build_real",
-          "maxfactor"
+          "prebuild_gwn",
+          "clean_real"
          ],
          "marker": {
           "colors": [
@@ -681,12 +767,12 @@
            "#ab63fa",
            "#FFA15A",
            "#19d3f3",
-           "#ab63fa",
-           "#636efa",
            "#636efa",
            "#636efa",
            "#ab63fa",
            "#636efa",
+           "#636efa",
+           "#ab63fa",
            "#636efa"
           ]
          },
@@ -697,32 +783,32 @@
           "generate",
           "Py_kgeneration",
           "fftma2",
-          "covariance",
           "gasdev",
-          "fftma2",
-          "",
+          "covariance",
           "",
           "",
           "fftma2",
           "",
+          "",
+          "fftma2",
           ""
          ],
          "type": "treemap",
          "values": [
-          0.633546,
-          0.397899,
-          0.2963540000000001,
-          0.234361,
-          0.22435,
-          0.09350199999999986,
-          0.09343499999999917,
-          0.001993,
-          0.001623,
-          0.001073,
-          0.000463,
-          0.000454,
-          0.00041,
-          0.000316
+          0.595284,
+          0.432435,
+          0.31393099999999996,
+          0.160294,
+          0.157064,
+          0.08692100000000057,
+          0.06912599999999992,
+          0.00141,
+          0.0009339999999999999,
+          0.00041999999999999996,
+          0.000291,
+          0.0001,
+          9.4e-05,
+          9.3e-05
          ]
         }
        ],
@@ -745,6 +831,11 @@
              "line": {
               "color": "#E5ECF6",
               "width": 0.5
+             },
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
              }
             },
             "type": "bar"
@@ -756,6 +847,11 @@
              "line": {
               "color": "#E5ECF6",
               "width": 0.5
+             },
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
              }
             },
             "type": "barpolar"
@@ -954,9 +1050,10 @@
           "histogram": [
            {
             "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
              }
             },
             "type": "histogram"
@@ -1542,11 +1639,11 @@
         }
        }
       },
-      "image/png": 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",
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@@ -1590,50 +1687,7 @@
   },
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-      "\n",
-      "invalid value encountered in double_scalars\n",
-      "\n"
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\n",
-      "text/plain": [
-       "<Figure size 600x600 with 4 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_pie_charts(df, \"Memory comparisons\", (\"memory\", \"median\"))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Análisis de la CPU\n",
-    "\n",
-    "Se busca en los siguientes gráficos mostrar cómo evoluciona el uso de la CPU a lo largo de las distintas configuraciones.\n",
-    "\n",
-    "El gráfico se hizo en base al promedio de uso en la CPU de todos los cores disponibles (8 en nuestras computadoras)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 105,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -1654,22 +1708,22 @@
            1
           ]
          },
-         "hovertemplate": "function=%{label}<br>cpu_mean=%{value}<br>parent=%{parent}<extra></extra>",
+         "hovertemplate": "function=%{label}<br>memory_median=%{value}<br>parent=%{parent}<extra></extra>",
          "labels": [
           "Py_kgeneration",
           "generate",
           "gasdev",
           "fftma2",
           "covariance",
-          "cov_value",
           "ran2",
-          "fourt",
+          "cov_value",
           "cgrid",
           "length",
-          "clean_real",
-          "prebuild_gwn",
+          "fourt",
+          "maxfactor",
           "build_real",
-          "maxfactor"
+          "prebuild_gwn",
+          "clean_real"
          ],
          "marker": {
           "colors": [
@@ -1680,12 +1734,12 @@
            "#ab63fa",
            "#FFA15A",
            "#19d3f3",
-           "#ab63fa",
-           "#636efa",
            "#636efa",
            "#636efa",
            "#ab63fa",
            "#636efa",
+           "#636efa",
+           "#ab63fa",
            "#636efa"
           ]
          },
@@ -1696,30 +1750,30 @@
           "generate",
           "Py_kgeneration",
           "fftma2",
-          "covariance",
           "gasdev",
-          "fftma2",
-          "",
+          "covariance",
           "",
           "",
           "fftma2",
           "",
+          "",
+          "fftma2",
           ""
          ],
          "type": "treemap",
          "values": [
-          34.56010549999999,
-          35.08436075,
-          2.7010718935546953,
-          32.746140625,
-          33.296728625,
-          0.9252797619642867,
-          0.699744776887463,
-          0.004166666666666667,
+          0.1,
+          0.2,
+          0,
+          0.3,
+          0.3,
+          0,
+          0,
+          0,
+          0,
           0,
           0,
           0,
-          25.025,
           0,
           0
          ]
@@ -1744,6 +1798,11 @@
              "line": {
               "color": "#E5ECF6",
               "width": 0.5
+             },
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
              }
             },
             "type": "bar"
@@ -1755,6 +1814,11 @@
              "line": {
               "color": "#E5ECF6",
               "width": 0.5
+             },
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
              }
             },
             "type": "barpolar"
@@ -1953,9 +2017,10 @@
           "histogram": [
            {
             "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
              }
             },
             "type": "histogram"
@@ -2537,15 +2602,15 @@
          }
         },
         "title": {
-         "text": "CPU treemap"
+         "text": "Memory treemap"
         }
        }
       },
-      "image/png": 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",
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        "                            \n",
-       "var gd = document.getElementById('44cd7534-cf2c-4517-ad3e-59b0438190b7');\n",
+       "var gd = document.getElementById('56f2a94a-2457-4b54-9599-dfb151c2cb76');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
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@@ -2575,374 +2640,55 @@
     }
    ],
    "source": [
-    "plot_treemap(df, (\"cpu\", \"mean\"), \"cpu_mean\", \"CPU treemap\")"
+    "plot_treemap(df, (\"memory\", \"median\"), \"memory_median\", \"Memory treemap\")"
    ]
   },
   {
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": 20,
    "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/oli/.local/lib/python3.6/site-packages/ipykernel_launcher.py:13: RuntimeWarning:\n",
+      "\n",
+      "invalid value encountered in double_scalars\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 600x600 with 4 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "## N = 16"
+    "plot_pie_charts(df, \"Memory comparisons\", (\"memory\", \"median\"))"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Armado del dataset"
+    "### Análisis de la CPU\n",
+    "\n",
+    "Se busca en los siguientes gráficos mostrar cómo evoluciona el uso de la CPU a lo largo de las distintas configuraciones.\n",
+    "\n",
+    "El gráfico se hizo en base al promedio de uso en la CPU de todos los cores disponibles (8 en nuestras computadoras)."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 106,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[37.258909, 28.809677, 18.546602, 56.649521, 38.561538, 36.02233, 59.715385, 41.633546]\n"
-     ]
-    },
-    {
-     "data": {
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-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th colspan=\"3\" halign=\"left\">memory</th>\n",
-       "      <th colspan=\"3\" halign=\"left\">cpu</th>\n",
-       "      <th colspan=\"5\" halign=\"left\">time</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th>min</th>\n",
-       "      <th>max</th>\n",
-       "      <th>median</th>\n",
-       "      <th>min</th>\n",
-       "      <th>max</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>min</th>\n",
-       "      <th>max</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>sum</th>\n",
-       "      <th>count</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>function</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
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-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>Py_kgeneration</th>\n",
-       "      <td>-21.2</td>\n",
-       "      <td>-21.2</td>\n",
-       "      <td>-21.2</td>\n",
-       "      <td>36.171001</td>\n",
-       "      <td>36.171001</td>\n",
-       "      <td>36.171001</td>\n",
-       "      <td>4.518677</td>\n",
-       "      <td>4.518677</td>\n",
-       "      <td>4.518677</td>\n",
-       "      <td>4.518677</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>generate</th>\n",
-       "      <td>-20.0</td>\n",
-       "      <td>-20.0</td>\n",
-       "      <td>-20.0</td>\n",
-       "      <td>39.649689</td>\n",
-       "      <td>39.649689</td>\n",
-       "      <td>39.649689</td>\n",
-       "      <td>3.283041</td>\n",
-       "      <td>3.283041</td>\n",
-       "      <td>3.283041</td>\n",
-       "      <td>3.283041</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>gasdev</th>\n",
-       "      <td>-23.9</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>100.100000</td>\n",
-       "      <td>3.056432</td>\n",
-       "      <td>0.000099</td>\n",
-       "      <td>0.121965</td>\n",
-       "      <td>0.000595</td>\n",
-       "      <td>2.437584</td>\n",
-       "      <td>4096</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>fftma2</th>\n",
-       "      <td>-1.2</td>\n",
-       "      <td>-1.2</td>\n",
-       "      <td>-1.2</td>\n",
-       "      <td>27.218459</td>\n",
-       "      <td>27.218459</td>\n",
-       "      <td>27.218459</td>\n",
-       "      <td>1.231253</td>\n",
-       "      <td>1.231253</td>\n",
-       "      <td>1.231253</td>\n",
-       "      <td>1.231253</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>covariance</th>\n",
-       "      <td>-1.2</td>\n",
-       "      <td>-1.2</td>\n",
-       "      <td>-1.2</td>\n",
-       "      <td>26.980180</td>\n",
-       "      <td>26.980180</td>\n",
-       "      <td>26.980180</td>\n",
-       "      <td>1.223604</td>\n",
-       "      <td>1.223604</td>\n",
-       "      <td>1.223604</td>\n",
-       "      <td>1.223604</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>ran2</th>\n",
-       "      <td>-9.1</td>\n",
-       "      <td>1.3</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>50.050000</td>\n",
-       "      <td>0.782603</td>\n",
-       "      <td>0.000095</td>\n",
-       "      <td>0.001958</td>\n",
-       "      <td>0.000135</td>\n",
-       "      <td>0.710129</td>\n",
-       "      <td>5268</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>cov_value</th>\n",
-       "      <td>-3.8</td>\n",
-       "      <td>0.9</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>43.800000</td>\n",
-       "      <td>0.578152</td>\n",
-       "      <td>0.000101</td>\n",
-       "      <td>0.001366</td>\n",
-       "      <td>0.000137</td>\n",
-       "      <td>0.488994</td>\n",
-       "      <td>3564</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>fourt</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>50.050000</td>\n",
-       "      <td>16.687500</td>\n",
-       "      <td>0.000824</td>\n",
-       "      <td>0.001123</td>\n",
-       "      <td>0.000944</td>\n",
-       "      <td>0.002831</td>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>cgrid</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.025000</td>\n",
-       "      <td>0.025000</td>\n",
-       "      <td>0.025000</td>\n",
-       "      <td>0.001635</td>\n",
-       "      <td>0.001635</td>\n",
-       "      <td>0.001635</td>\n",
-       "      <td>0.001635</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>length</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.012500</td>\n",
-       "      <td>0.008333</td>\n",
-       "      <td>0.000352</td>\n",
-       "      <td>0.000360</td>\n",
-       "      <td>0.000356</td>\n",
-       "      <td>0.001069</td>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>maxfactor</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.012500</td>\n",
-       "      <td>0.004167</td>\n",
-       "      <td>0.000103</td>\n",
-       "      <td>0.000112</td>\n",
-       "      <td>0.000106</td>\n",
-       "      <td>0.000318</td>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>build_real</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000274</td>\n",
-       "      <td>0.000274</td>\n",
-       "      <td>0.000274</td>\n",
-       "      <td>0.000274</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>prebuild_gwn</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000267</td>\n",
-       "      <td>0.000267</td>\n",
-       "      <td>0.000267</td>\n",
-       "      <td>0.000267</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>clean_real</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000217</td>\n",
-       "      <td>0.000217</td>\n",
-       "      <td>0.000217</td>\n",
-       "      <td>0.000217</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "               memory                     cpu                         \\\n",
-       "                  min   max median        min         max       mean   \n",
-       "function                                                               \n",
-       "Py_kgeneration  -21.2 -21.2  -21.2  36.171001   36.171001  36.171001   \n",
-       "generate        -20.0 -20.0  -20.0  39.649689   39.649689  39.649689   \n",
-       "gasdev          -23.9   3.0    0.0   0.000000  100.100000   3.056432   \n",
-       "fftma2           -1.2  -1.2   -1.2  27.218459   27.218459  27.218459   \n",
-       "covariance       -1.2  -1.2   -1.2  26.980180   26.980180  26.980180   \n",
-       "ran2             -9.1   1.3    0.0   0.000000   50.050000   0.782603   \n",
-       "cov_value        -3.8   0.9    0.0   0.000000   43.800000   0.578152   \n",
-       "fourt             0.0   0.0    0.0   0.000000   50.050000  16.687500   \n",
-       "cgrid             0.0   0.0    0.0   0.025000    0.025000   0.025000   \n",
-       "length            0.0   0.0    0.0   0.000000    0.012500   0.008333   \n",
-       "maxfactor         0.0   0.0    0.0   0.000000    0.012500   0.004167   \n",
-       "build_real        0.0   0.0    0.0   0.000000    0.000000   0.000000   \n",
-       "prebuild_gwn      0.0   0.0    0.0   0.000000    0.000000   0.000000   \n",
-       "clean_real        0.0   0.0    0.0   0.000000    0.000000   0.000000   \n",
-       "\n",
-       "                    time                                      \n",
-       "                     min       max      mean       sum count  \n",
-       "function                                                      \n",
-       "Py_kgeneration  4.518677  4.518677  4.518677  4.518677     1  \n",
-       "generate        3.283041  3.283041  3.283041  3.283041     1  \n",
-       "gasdev          0.000099  0.121965  0.000595  2.437584  4096  \n",
-       "fftma2          1.231253  1.231253  1.231253  1.231253     1  \n",
-       "covariance      1.223604  1.223604  1.223604  1.223604     1  \n",
-       "ran2            0.000095  0.001958  0.000135  0.710129  5268  \n",
-       "cov_value       0.000101  0.001366  0.000137  0.488994  3564  \n",
-       "fourt           0.000824  0.001123  0.000944  0.002831     3  \n",
-       "cgrid           0.001635  0.001635  0.001635  0.001635     1  \n",
-       "length          0.000352  0.000360  0.000356  0.001069     3  \n",
-       "maxfactor       0.000103  0.000112  0.000106  0.000318     3  \n",
-       "build_real      0.000274  0.000274  0.000274  0.000274     1  \n",
-       "prebuild_gwn    0.000267  0.000267  0.000267  0.000267     1  \n",
-       "clean_real      0.000217  0.000217  0.000217  0.000217     1  "
-      ]
-     },
-     "execution_count": 106,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df = analyze(['log_16-aa'])\n",
-    "overall_time[\"16\"] = df.loc[\"Py_kgeneration\"][(\"time\", \"sum\")]\n",
-    "overall_memory[\"16\"] = abs(df.loc[\"Py_kgeneration\"][(\"memory\", \"median\")])\n",
-    "df"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Comparación de tiempos"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 107,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 600x600 with 4 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_pie_charts(df, \"Time comparisons\", (\"time\", \"sum\"))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 108,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -2963,7 +2709,7 @@
            1
           ]
          },
-         "hovertemplate": "function=%{label}<br>time_sum=%{value}<br>parent=%{parent}<extra></extra>",
+         "hovertemplate": "function=%{label}<br>cpu_mean=%{value}<br>parent=%{parent}<extra></extra>",
          "labels": [
           "Py_kgeneration",
           "generate",
@@ -2972,9 +2718,9 @@
           "covariance",
           "ran2",
           "cov_value",
-          "fourt",
           "cgrid",
           "length",
+          "fourt",
           "maxfactor",
           "build_real",
           "prebuild_gwn",
@@ -2989,9 +2735,9 @@
            "#ab63fa",
            "#FFA15A",
            "#19d3f3",
-           "#ab63fa",
            "#636efa",
            "#636efa",
+           "#ab63fa",
            "#636efa",
            "#636efa",
            "#ab63fa",
@@ -3007,9 +2753,9 @@
           "fftma2",
           "gasdev",
           "covariance",
-          "fftma2",
           "",
           "",
+          "fftma2",
           "",
           "",
           "fftma2",
@@ -3017,20 +2763,20 @@
          ],
          "type": "treemap",
          "values": [
-          4.518677,
-          3.283041,
-          2.4375840000000117,
-          1.231253,
-          1.223604,
-          0.7101290000000031,
-          0.48899400000001014,
-          0.002831,
-          0.001635,
-          0.001069,
-          0.000318,
-          0.000274,
-          0.000267,
-          0.000217
+          25.329470375,
+          26.008495625000002,
+          1.3256591796875,
+          24.09153275,
+          23.405370124999997,
+          0.37574786324786275,
+          0.29069047624999933,
+          18.775,
+          6.258333333333333,
+          0.004166666666666667,
+          2.0875,
+          0,
+          0,
+          0
          ]
         }
        ],
@@ -3053,6 +2799,11 @@
              "line": {
               "color": "#E5ECF6",
               "width": 0.5
+             },
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
              }
             },
             "type": "bar"
@@ -3064,6 +2815,11 @@
              "line": {
               "color": "#E5ECF6",
               "width": 0.5
+             },
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
              }
             },
             "type": "barpolar"
@@ -3262,9 +3018,10 @@
           "histogram": [
            {
             "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
              }
             },
             "type": "histogram"
@@ -3846,15 +3603,15 @@
          }
         },
         "title": {
-         "text": "Time treemap"
+         "text": "CPU treemap"
         }
        }
       },
-      "image/png": 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    ],
    "source": [
-    "plot_treemap(df, (\"time\", \"sum\"), \"time_sum\", \"Time treemap\")"
+    "plot_treemap(df, (\"cpu\", \"mean\"), \"cpu_mean\", \"CPU treemap\")"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Comparación de memoria"
+    "## N = 16"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Armado del dataset"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 109,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
-     "name": "stderr",
+     "name": "stdout",
      "output_type": "stream",
      "text": [
-      "/home/cecix/.local/lib/python2.7/site-packages/ipykernel_launcher.py:13: RuntimeWarning:\n",
-      "\n",
-      "invalid value encountered in double_scalars\n",
-      "\n"
+      "[20.299501, 14.456436, 5.228205, 52.891878, 51.790821, 13.206796, 9.190909, 8.515842]\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 600x600 with 4 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_pie_charts(df, \"Memory comparisons\", (\"memory\", \"median\"))"
-   ]
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr:last-of-type th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th colspan=\"5\" halign=\"left\">time</th>\n",
+       "      <th colspan=\"3\" halign=\"left\">memory</th>\n",
+       "      <th colspan=\"3\" halign=\"left\">cpu</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th>min</th>\n",
+       "      <th>max</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>sum</th>\n",
+       "      <th>count</th>\n",
+       "      <th>min</th>\n",
+       "      <th>max</th>\n",
+       "      <th>median</th>\n",
+       "      <th>min</th>\n",
+       "      <th>max</th>\n",
+       "      <th>mean</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>function</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Py_kgeneration</th>\n",
+       "      <td>2.866175</td>\n",
+       "      <td>2.866175</td>\n",
+       "      <td>2.866175</td>\n",
+       "      <td>2.866175</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-26.2</td>\n",
+       "      <td>-26.2</td>\n",
+       "      <td>-26.2</td>\n",
+       "      <td>22.268546</td>\n",
+       "      <td>22.268546</td>\n",
+       "      <td>22.268546</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>generate</th>\n",
+       "      <td>2.113249</td>\n",
+       "      <td>2.113249</td>\n",
+       "      <td>2.113249</td>\n",
+       "      <td>2.113249</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-25.7</td>\n",
+       "      <td>-25.7</td>\n",
+       "      <td>-25.7</td>\n",
+       "      <td>21.947548</td>\n",
+       "      <td>21.947548</td>\n",
+       "      <td>21.947548</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>gasdev</th>\n",
+       "      <td>0.000083</td>\n",
+       "      <td>0.023259</td>\n",
+       "      <td>0.000381</td>\n",
+       "      <td>1.562171</td>\n",
+       "      <td>4096</td>\n",
+       "      <td>-7.8</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>75.075000</td>\n",
+       "      <td>1.122834</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>fftma2</th>\n",
+       "      <td>0.750452</td>\n",
+       "      <td>0.750452</td>\n",
+       "      <td>0.750452</td>\n",
+       "      <td>0.750452</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-0.5</td>\n",
+       "      <td>-0.5</td>\n",
+       "      <td>-0.5</td>\n",
+       "      <td>23.439717</td>\n",
+       "      <td>23.439717</td>\n",
+       "      <td>23.439717</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>covariance</th>\n",
+       "      <td>0.746690</td>\n",
+       "      <td>0.746690</td>\n",
+       "      <td>0.746690</td>\n",
+       "      <td>0.746690</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-0.5</td>\n",
+       "      <td>-0.5</td>\n",
+       "      <td>-0.5</td>\n",
+       "      <td>23.456246</td>\n",
+       "      <td>23.456246</td>\n",
+       "      <td>23.456246</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ran2</th>\n",
+       "      <td>0.000081</td>\n",
+       "      <td>0.001312</td>\n",
+       "      <td>0.000091</td>\n",
+       "      <td>0.481703</td>\n",
+       "      <td>5268</td>\n",
+       "      <td>-7.8</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>37.537500</td>\n",
+       "      <td>0.273394</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>cov_value</th>\n",
+       "      <td>0.000083</td>\n",
+       "      <td>0.000178</td>\n",
+       "      <td>0.000091</td>\n",
+       "      <td>0.323241</td>\n",
+       "      <td>3564</td>\n",
+       "      <td>-1.1</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>37.537500</td>\n",
+       "      <td>0.273404</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>cgrid</th>\n",
+       "      <td>0.001251</td>\n",
+       "      <td>0.001251</td>\n",
+       "      <td>0.001251</td>\n",
+       "      <td>0.001251</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.012500</td>\n",
+       "      <td>0.012500</td>\n",
+       "      <td>0.012500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>fourt</th>\n",
+       "      <td>0.000327</td>\n",
+       "      <td>0.000440</td>\n",
+       "      <td>0.000373</td>\n",
+       "      <td>0.001120</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.012500</td>\n",
+       "      <td>0.008333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>length</th>\n",
+       "      <td>0.000276</td>\n",
+       "      <td>0.000277</td>\n",
+       "      <td>0.000277</td>\n",
+       "      <td>0.000830</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.012500</td>\n",
+       "      <td>0.004167</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>maxfactor</th>\n",
+       "      <td>0.000082</td>\n",
+       "      <td>0.000083</td>\n",
+       "      <td>0.000082</td>\n",
+       "      <td>0.000247</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>build_real</th>\n",
+       "      <td>0.000141</td>\n",
+       "      <td>0.000141</td>\n",
+       "      <td>0.000141</td>\n",
+       "      <td>0.000141</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>clean_real</th>\n",
+       "      <td>0.000127</td>\n",
+       "      <td>0.000127</td>\n",
+       "      <td>0.000127</td>\n",
+       "      <td>0.000127</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>12.512500</td>\n",
+       "      <td>12.512500</td>\n",
+       "      <td>12.512500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>prebuild_gwn</th>\n",
+       "      <td>0.000106</td>\n",
+       "      <td>0.000106</td>\n",
+       "      <td>0.000106</td>\n",
+       "      <td>0.000106</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                    time                                     memory        \\\n",
+       "                     min       max      mean       sum count    min   max   \n",
+       "function                                                                    \n",
+       "Py_kgeneration  2.866175  2.866175  2.866175  2.866175     1  -26.2 -26.2   \n",
+       "generate        2.113249  2.113249  2.113249  2.113249     1  -25.7 -25.7   \n",
+       "gasdev          0.000083  0.023259  0.000381  1.562171  4096   -7.8   0.2   \n",
+       "fftma2          0.750452  0.750452  0.750452  0.750452     1   -0.5  -0.5   \n",
+       "covariance      0.746690  0.746690  0.746690  0.746690     1   -0.5  -0.5   \n",
+       "ran2            0.000081  0.001312  0.000091  0.481703  5268   -7.8   0.2   \n",
+       "cov_value       0.000083  0.000178  0.000091  0.323241  3564   -1.1   0.2   \n",
+       "cgrid           0.001251  0.001251  0.001251  0.001251     1    0.0   0.0   \n",
+       "fourt           0.000327  0.000440  0.000373  0.001120     3    0.0   0.0   \n",
+       "length          0.000276  0.000277  0.000277  0.000830     3    0.0   0.0   \n",
+       "maxfactor       0.000082  0.000083  0.000082  0.000247     3    0.0   0.0   \n",
+       "build_real      0.000141  0.000141  0.000141  0.000141     1    0.0   0.0   \n",
+       "clean_real      0.000127  0.000127  0.000127  0.000127     1    0.0   0.0   \n",
+       "prebuild_gwn    0.000106  0.000106  0.000106  0.000106     1    0.0   0.0   \n",
+       "\n",
+       "                             cpu                        \n",
+       "               median        min        max       mean  \n",
+       "function                                                \n",
+       "Py_kgeneration  -26.2  22.268546  22.268546  22.268546  \n",
+       "generate        -25.7  21.947548  21.947548  21.947548  \n",
+       "gasdev            0.0   0.000000  75.075000   1.122834  \n",
+       "fftma2           -0.5  23.439717  23.439717  23.439717  \n",
+       "covariance       -0.5  23.456246  23.456246  23.456246  \n",
+       "ran2              0.0   0.000000  37.537500   0.273394  \n",
+       "cov_value         0.0   0.000000  37.537500   0.273404  \n",
+       "cgrid             0.0   0.012500   0.012500   0.012500  \n",
+       "fourt             0.0   0.000000   0.012500   0.008333  \n",
+       "length            0.0   0.000000   0.012500   0.004167  \n",
+       "maxfactor         0.0   0.000000   0.000000   0.000000  \n",
+       "build_real        0.0   0.000000   0.000000   0.000000  \n",
+       "clean_real        0.0  12.512500  12.512500  12.512500  \n",
+       "prebuild_gwn      0.0   0.000000   0.000000   0.000000  "
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = analyze(['log_16-aa'])\n",
+    "overall_time[\"16\"] = df.loc[\"Py_kgeneration\"][(\"time\", \"sum\")]\n",
+    "overall_memory[\"16\"] = abs(df.loc[\"Py_kgeneration\"][(\"memory\", \"median\")])\n",
+    "df"
+   ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Análisis de la CPU"
+    "### Comparación de tiempos"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 600x600 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_pie_charts(df, \"Time comparisons\", (\"time\", \"sum\"))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 110,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -3956,7 +4029,7 @@
            1
           ]
          },
-         "hovertemplate": "function=%{label}<br>cpu_mean=%{value}<br>parent=%{parent}<extra></extra>",
+         "hovertemplate": "function=%{label}<br>time_sum=%{value}<br>parent=%{parent}<extra></extra>",
          "labels": [
           "Py_kgeneration",
           "generate",
@@ -3965,13 +4038,13 @@
           "covariance",
           "ran2",
           "cov_value",
-          "fourt",
           "cgrid",
+          "fourt",
           "length",
           "maxfactor",
           "build_real",
-          "prebuild_gwn",
-          "clean_real"
+          "clean_real",
+          "prebuild_gwn"
          ],
          "marker": {
           "colors": [
@@ -3982,13 +4055,13 @@
            "#ab63fa",
            "#FFA15A",
            "#19d3f3",
+           "#636efa",
            "#ab63fa",
            "#636efa",
            "#636efa",
            "#636efa",
            "#636efa",
-           "#ab63fa",
-           "#636efa"
+           "#ab63fa"
           ]
          },
          "name": "",
@@ -4000,30 +4073,30 @@
           "fftma2",
           "gasdev",
           "covariance",
+          "",
           "fftma2",
           "",
           "",
           "",
           "",
-          "fftma2",
-          ""
+          "fftma2"
          ],
          "type": "treemap",
          "values": [
-          36.171001125000004,
-          39.64968850000001,
-          3.0564322340393244,
-          27.218459,
-          26.980179875,
-          0.7826032966495755,
-          0.5781518893097697,
-          16.6875,
-          0.025,
-          0.008333333333333333,
-          0.004166666666666667,
-          0,
-          0,
-          0
+          2.866175,
+          2.113249,
+          1.5621709999999904,
+          0.750452,
+          0.74669,
+          0.48170299999998717,
+          0.32324099999999656,
+          0.001251,
+          0.0011200000000000001,
+          0.00083,
+          0.000247,
+          0.000141,
+          0.000127,
+          0.000106
          ]
         }
        ],
@@ -4046,6 +4119,11 @@
              "line": {
               "color": "#E5ECF6",
               "width": 0.5
+             },
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
              }
             },
             "type": "bar"
@@ -4057,6 +4135,11 @@
              "line": {
               "color": "#E5ECF6",
               "width": 0.5
+             },
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
              }
             },
             "type": "barpolar"
@@ -4255,9 +4338,10 @@
           "histogram": [
            {
             "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
              }
             },
             "type": "histogram"
@@ -4839,15 +4923,15 @@
          }
         },
         "title": {
-         "text": "CPU treemap"
+         "text": "Time treemap"
         }
        }
       },
-      "image/png": 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CCCCAQLwFiJx4z5+zRwABBBBAAAEEEEAgcgJETuRGygkhgAACCCCAAAIIIBBvASIn3vPn7BFAAAEEEEAAAQQQiJwAkRO5kXJCCCCAAAIIIIAAAgjEW4DIiff8OXsEEEAAAQQQQAABBCInQOREbqScEAIIIIAAAggggAAC8RYgcuI9f84eAQQQQAABBBBAAIHICRA5kRspJ4QAAggggAACCCCAQLwFiJx4z5+zRwABBBBAAAEEEEAgcgJETuRGygkhgAACCCCAAAIIIBBvASIn3vPn7BFAAAEEEEAAAQQQiJwAkRO5kXJCCCCAAAIIIIAAAgjEW4DIiff8OXsEEEAAAQQQQAABBCInQOREbqScEAIIIIAAAggggAAC8RYgcuI9f84eAQQQQAABBBBAAIHICRA5kRspJ4QAAggggAACCCCAQLwFiJx4z5+zRwABBBBAAAEEEEAgcgJETuRGygkhgAACCCCAAAIIIBBvASIn3vPn7BFAAAEEEEAAAQQQiJwAkRO5kXJCCCCAAAIIIIAAAgjEW4DIiff8OXsEEEAAAQQQQAABBCInQOREbqScEAIIIIAAAggggAAC8RYgcuI9f84eAQQQQAABBBBAAIHICRA5kRspJ4QAAggggAACCCCAQLwFiJx4z5+zRwABBBBAAAEEEEAgcgJETuRGygkhgAACCCCAAAIIIBBvASIn3vPn7BFAAAEEEEAAAQQQiJwAkRO5kXJCCCCAAAIIIIAAAgjEW4DIiff8OXsEEEAAAQQQQAABBCInQOREbqScEAIIIIAAAggggAAC8RYgcuI9f84eAQQQQAABBBBAAIHICRA5kRspJ4QAAggggAACCCCAQLwFiJx4z5+zRwABBBBAAAEEEEAgcgJETuRGygkhgAACCCCAAAIIIBBvASIn3vPn7BFAAAEEEEAAAQQQiJwAkRO5kXJCCCCAAAIIIIAAAgjEW4DIiff8OXsEEEAAAQQQQAABBCInQOREbqScEAIIIIAAAggggAAC8RYgcuI9f84eAQQQQAABBBBAAIHICRA5kRspJ4QAAggggAACCCCAQLwFiJx4z5+zRwABBBBAAAEEEEAgcgJETuRGygkhgAACCCCAAAIIIBBvASIn3vPn7BFAAAEEEEAAAQQQiJwAkRO5kXJCCCCAAAIIIIAAAgjEW4DIiff8OXsEEEAAAQQQQAABBCInQOREbqScEAIIIIAAAggggAAC8RYgcuI9f84eAQQQQAABBBBAAIHICRA5kRspJ4QAAggggAACCCCAQLwFiJx4z5+zRwABBBBAAAEEEEAgcgJETuRGygkhgAACCCCAAAIIIBBvASIn3vPn7BFAAAEEEEAAAQQQiJwAkRO5kXJCCCCAAAIIIIAAAgjEW4DIiff8OXsEEEAAAQQQQAABBCInQOREbqScEAIIIIAAAggggAAC8RYgcozm/+RzOaOVWRYBBBBAAAEEEEAgCgIrLZ/Q2mskonAq3p0DkWM0Ehc5Tz6bNVqdZRFAAAEEEEAAAQRausBpJ6SJHKMhEjlGsESOESzLIoAAAggggAACEREgcuwGSeQY2RI5RrAsiwACCCCAAAIIRESAyLEbJJFjZEvkGMGyLAIIIIAAAgggEBEBIsdukESOke38IieZlG6/oUyZTP2Bc3lp3Pi8Hnkyq08/zzdpNztuk9RSSyY04oGW8R6gLTZJ6q136j+Y4ZTj0nr3w5z+/T4f1NCk4fNNCCCAAAIIINBiBYgcu9EROUa2C4ucARdnNHFSXi561u+R1BEHpXTepXWaMrX4DfkUOYmElF9Aq7nfv+7SMp1+QV1woq1bSXUZqa7+X/lCAAEEEEAAAQRiI0Dk2I2ayDGyLTRyGg5/8VlpPfFMTnv0TOqZl3L64KP6OxvrrJ3Unrsmdck1s279zGO/s0dOp44JnXtaSneMzOr7H/M64sCUVlkxoarfpC+/zavLYtJd92fVdYmEDts/pQ7tpZoa6W+PZvXNd3ktu3RCRx2c0n8/zWvVlRPB7//tkT/uMu22U1KbbZSU8tJnX+b10GNZZbLSLdeU6ZkXs+q5fUoDLqrTkt0SOnS/lFq3rg8Yt8bnX+V10jEprbt2UmPH5TVkaFaH7JdqvJOz4bpJ9dolqVRSmjxVuvehrH4dl9cOWye1zFIJlZVJi3dJBL9/211Z/T6haXe+jEbOsggggAACCCCAQFECRE5RXEW9mMgpiqvwFxcbOZeckw4eWVuya0KrrJTQbcPrHz078qCUfh2f17Mvzf9xrobIeeCRrM4+Na0XX61//GubLZLaZIOkBt+SUft2CZ3XP6VPv8gHj7VdNCCtV9/M6fV/5bTCcgn1Oyalcy7JBPHjguum2zMa/VleG6+f1PZbJXXlkIzW/UtSfXav/2cXRn2PSgXh8vJrOd14ZZne/HcuOAd3J+fCAWm9/GpOb7+X08YbJNWrZ1IXXJ5R2zbStYPKdMIZ9bduGh5X+/KbvAaendZl12Y0/re8tto8qS03Tery6zPabksXPyldfFWdJk9REE/TZkiPPd0yHs8r/KrhlQgggAACCCAQJwEix27aRI6RbaGRk0pJ7g7GQfukdO6ldSovS+iKC9I646K6ICSuv6xMl1+XUdXv879r0RA5FeXSr+PV+PN5jjs8pW++r48Q9+XiIJmSnnoup0vPS6vfWXWNj5ZdcEZao57Iatp06ZzT0jr57PoIcXdQTjkupbMGZv4UXD3WSmjn7VIafHNGQ64oC8Lo2+/r91lepuAOTy6n4G7QNQPLdPzpdfONnLK0tF6PZLCG+3J3bYZeW6aTz6nTZhsmtebqCd1yR33UbL91Ussvm9Bd9xE5RpcvyyKAAAIIIIBAMwgQOXbIRI6R7cIip/GDB3LSmF/zeujxrL76pj4QzuyX1r/eywWPY+3TK6XLrpv/o2ru9S5y9uiZUjotubs5b/y7PmpOPzGtt9/94039u+2YVJcuCb32Vk7n9U8H7wlq+KqoSGjkw/WPh53W1z1yVn/MpZdMNP67u+uy0goJ1dTUf597P5F7D9Gl19ZHzpU3ZDSuqv733B2gbbdMykWce7zMPQZ3XP/5R85inaRuXecMl9sGl2ng1Zngh2S54945sj5q3J2d2f/daIQsiwACCCCAAAIImAoQOXa8RI6R7cIip+GDB+Z1+C03SwZ3d9xjai50XnhlwZ885iJnnbWSevCxrM44KR1Ekfu+vkem9PnXeb3yRv33u/e/uOh48tmcBp2TDu6SzP01e9TMHTmHH5jSmLH54HG4ub9c5Fxxff2jZp06JHTFhWkNGpwJ3nvj3id09cXpBUaOu5Oz/jpJ3TisPq7KyyUXOe5u0+Ybzxk1RI7RRcuyCCCAAAIIINCsAkSOHTeRY2S7KJHj3qzvHu9yj6u596RMmLjgN9jP/sEDu+6Y1JqrJXXdbRntvF1Sa3ZP6oahGXVsn9D5Z6T0yWf178lx75l5/p85vftBTu3aSgf2SWnEQ1l1WeyPOzdzR477wAD3wQju8bTqGgXvm8lmFXwc9OyR40JpwMlpnXlRXfC4Wp/dU8FeThpQp1RauvGKsuBxuJraP96T88XX+SC83F0hF0rufUAu9K6+qf49OdzJMbpQWRYBBBBAAAEEQhMgcuzoiRwj20WJHLelfsem1K5NIniT/8K+Zo8c9wiZexTNPe7m3vR/3GFpLb2U9MsY6ecx+eA9MSMe/OPT1RbrWP+zel58JadX38rN8Xja3JHj/t098uburLg7QuOqpLv/ltWkyfk5Ise97qhDUuq+ckLTZ0gPP5FV756p4PE2dz7uMbrllkkEd2322PmPT1fbYN2kertPV0tJEyZK9z6YDd6LROQs7Arg9xFAAAEEEECgJQoQOXZTI3KMbOcXOYUezn2880+/5PXKm4v2QzJn/7k17hPK3AcCuE9A4wsBBBBAAAEEEEAgXAEix86fyDGyXZTIWapbQv37pnTRlRnNrG76Bt3jZfvuWf8zdlzsnHtaOng/zof/XbRwavqO+E4EEEAAAQQQQACBBgEix+5aIHKMbJsaOXvvkdIWmySDH4T50Sf1MdJtiYROPDo1z526N/YPvWved2bc42EH7Z3SOmsngvfGvP9RvvHn2BidNssigAACCCCAAAIIFChA5BQI1YSXETlNQCvkW5oaOYWszWsQQAABBBBAAAEEWr4AkWM3QyLHyJbIMYJlWQQQQAABBBBAICICRI7dIIkcI1sixwiWZRFAAAEEEEAAgYgIEDl2gyRyjGyJHCNYlkUAAQQQQAABBCIiQOTYDZLIMbIlcoxgWRYBBBBAAAEEEIiIAJFjN0gix8iWyDGCZVkEEEAAAQQQQCAiAkSO3SCJHCPbeUWO+2GcXnzl8wp+cE7D/3qxqRa2ibkNC/33FnaabBcBJ/Dks1mVl0s9t0/98efGvP78WNCfKU39PasRlPLPv6aeW1O/z8okxut+9mVOX32Tj7EApx6WAJFjJ0/kGNnOL3J2mnqP0RFZFgEEECi9QLr3YTphQD6InJsvT6juiXtLfxBWRCBEgboeW+u255cnckKcQZwPTeTYTZ/IMbJdUORUj7rL6KgsiwACCJROIFFRqTbDn5sjcqYesk3pDsBKCHggkLp0BJHjwRziugUix27yRI6RLZFjBMuyCCDQbAJETrNRc6AQBYicEPE5tIgcu4uAyDGyJXKMYFkWAQSaTYDIaTZqDhSiAJETIj6HJnIMrwEixwiXyDGCZVkEEGg2ASKn2ag5UIgCRE6I+ByayDG8BogcI9ymRM4dM8r0Rm1aJ7ep1Ud1ycZ/XjaV06RcQquncyXZ7cy8dPuM8uAY6YS0c0VG+1RmSrI2iyCAQHQEWnrkZCW9XZvSluXun/hCYN4CRA5XRpgCPK5mp0/kGNk2JXKOnFSpS9rVarlUTrP/89PVabkE2bNEITJ8Rpmm5BM6qXWtJucTOm9qhfq3qdWaJYooI1KWRQCBZhbwPXLcB/4mFmDyXTapv81M6/y2tc0sx+FakgCR05KmFb29Ejl2MyVyjGyLjZzB08r1Xl1KS6byapvI66tMMvjnrcuzeqo6pVRC2rY8q07JvL7LJIPo+TGbUJdkXjtVZPVcTUpjs0nt16pOW5Vn5f7Pf8SMsmBN989rpXM6oU2t3E/qeb8upeVTOS2erP+ZAFdPK9dGZVltV8HfdhpdDiyLQIsUKCZyqnIJDZlersm5hNZI5+SyYr2yrLYpz2psNqG/zijXpHxClcrrqNZ16p7O6ZmatH7IJlWbl8blEsrmpTPb1gZ/Nrk7znfOKA/+LHR//u1SkdFOFfV3nA+b1Ep7Vdbpieq0hnWo1k/ZpNyd8On5hMoS0tGta7VyKqf+UyqDX1s1ldNF7Wrmu48WORw2XTIBIqdklCzUBAEipwloBX4LkVMgVLEvKzZy3PqHT6rU9e1r1DmZn+Of3Z0X92vuTs5zNWn9vTqtG9rXqFUirxMnV2qdspz6tq7V/zJJDZtRrhvbVwchc//MMl3Trjr4q85zp1Ror8qMtpjrsQ33HxKnTqnUxW1rtHSKH4RW7Jx5PQJRFigmcm6YXq4lknkd3KpOn2SSunJqRfAXK+4vXc6aUhH8ZcwOFRl9nUnqmunluq1DtV6qSevhmengz72Oybxun1GmdgnpwFZ1umdGmabmE+rXplbT8gmdPaVCZ7Wt1Qqz7nS7v5Q5pFVdcCfH/d6ulZngL4XerE1pVHVZ8Ofgv2tTerk21XgnZ377SEd5iJzbQgWInIUS8QJDASLHDpfIMbK1jJxPM0md0ab+8YsLp1YEf8O5eXlWE3IJnTalUvd2nBncvanJS5WznuUYNqMs+NvRPrM98ub+9vTa6eVaNZ3TviV6FM6Ik2URQCAEgWIi59jJlbqgbW1wl9h9ub882buyLngM1v25NLLjzMZHy86ZUqHDWtfpx2xSH9cldfasx8ncnZ1vM8kgbE6aXKnT2tQGfz65r5Ezy1SZyAd/Vh01qVLntK3VarN+z/1Z5t5fmJSe9EdFAAAgAElEQVQ0MZdQ38mVerDTzDki57dZfz7Oax88qhvCxeXRIYkcj4YRw60QOXZDJ3KMbC0j55tMUifNipyLp1aoV2VGG5Rlgw8n6DelUvd1nBm852bkjDL9nEsE/2ExPpcIYmjvWTHjHuG4alq51k7ntH+rOiMFlkUAgZYsUEzkHDCxlW7tUB3cdXZfl06r0NblmeAO8XlTKhp/3f1edV46rnVd8Pjal5mkTpn155m7U93w74dMaqU2iXzwiK37cn9KbV6W1ZGt64LIubx9jZacday3alPBXW73wK175O37bFIPzRU532ST893HpnwwQUu+TBd570TOIhOywCIIEDmLgLeQbyVyjGzDjhx35yaTT6hvm9rgbzeHznCPkuSCyKnLS4OmVWiz8qx2nfWMuxEDyyKAQAsWKCZyXHi4D05xnwbpvtzdmz6VdcH7AU+fUqERHav/JDF71LjfnP3f+02uDN6f4x5Pm/vLHeuK9jXqlswHd7DdX+4MblcdBNXvuUTwGO/ckeN+fX77aMEjYuslECBySoDIEk0WIHKaTLfQbyRyFkrUtBeUMnLcs+nuzbTuWXf3HwGF3Mm5bnq5VkvltEdlJvhbTffBBu6RNrfGqOp0cNfn2NbcwWnadPkuBOIhUEzkXDmt/tFX93H0H9al5P4MOr51/Xty3Htm3J9F/1eeDe4y3z2jLPi9V2v/uHMzd+SMmFkWPHLr/pxymXPfzLLgo6BXSuWCOzkNkeMeeRs4tVzDOlYHd33cexGfqk4Hd7Q/zqT0eHVal7WraXzvzrz20fBYbzymylnOLUDkcE2EKUDk2OkTOUa2pYyc/9Ylde30iuCRNPeJRIVEzheZpG6eXh48p+4+WWij8qxum16mfm3q5D7IwD237u7wNHy5Ty06gugxuhpYFoGWKVBM5LjYuHF6meryCf2lrP49gu4vVlyYuE9Xcx+K4t4X4/7c2b2y/pPSFnQnx30oyvAZ5fo8kwwix/355/6MciEze+Q42VumlwcfvOI+mdK91+fhmWXB95zZplbnTq0I/tl9Ctv89tEyp8OuSyVA5JRKknWaIkDkNEWtsO8hcgpzKvpVTYmcog/CNyCAAAKGAsVEjtvG7D+3xr1fsHdlRuuX8dH0hiNi6RIIEDklQGSJJgsQOU2mW+g3EjkLJWraC4icprnxXQgg4I9AMZFz78z6O8TuQwTcHRN3B+XGWR8N7c8ZsRME/ixA5HBVhClA5NjpEzlGtkSOESzLIoBAswkUEznuh4DeNKNcv2QTKpOCT21078HhCwHfBYgc3ycU7f0ROXbzJXKMbIkcI1iWRQCBZhMoJnKabVMcCIESCxA5JQZluaIEiJyiuIp6MZFTFFfhLyZyCrfilQgg4KcAkePnXNhVaQWInNJ6slpxAkROcV7FvJrIKUariNcSOUVg8VIEEPBSgMjxcixsqsQCRE6JQVmuKAEipyiuol5M5BTFVfiLiZzCrXglAgj4KUDk+DkXdlVaASKntJ6sVpwAkVOcVzGvJnKK0SritUROEVi8FAEEvBQgcrwcC5sqsQCRU2JQlitKgMgpiquoFxM5RXEV/mIip3ArXokAAn4KEDl+zoVdlVaAyCmtJ6sVJ0DkFOdVzKuJnGK0inhtMZFTue9RRazMS30SyHz1qTIfvSNm+MdUqkfd5dOI2MsiCBQSOe41Fb0OKvoomc8+Vmb0B0V/H9+AQKkFiJxSi7JeMQJETjFaxb2WyCnOq+BXFxs531YcUfDavNAPga4rTlfFUwODyKk4f5i++2ENPzYW4i5WLHtKNXcPDnEHHLqUAoVGTqu7n9GVVf8t+NC7pzur+9AhRE7BYrzQUoDIsdRl7YUJEDkLE2r67xM5Tbdb4Hc2JXL+9yQ/OM9oHCbLbntq9RyR88Er3fXr6LzJsVrCoqtsn1T3jk8TOS1hWAXusZjIqfh4eIGrSu8v15PIKViLF1oLEDnWwqy/IAEix+76IHKMbIkcI1iPliVy5hwGkePRxVmirRA5JYJkGa8FiByvxxP5zRE5diMmcoxsiRwjWI+WJXKIHI8uR5OtEDkmrCzqmQCR49lAYrYdIsdu4ESOkS2RYwTr0bJEDpHj0eVoshUix4SVRT0TIHI8G0jMtkPk2A2cyDGybemRM/zHPjpg6dvVJtXFSKjlL7ugyMnma/XEr2dpauZX7bvUULVOdVrkE56cGaOZ2YnqVrHWIq9lsQCPq1mohrsmkROuP0dvHgEip3mcOcq8BYgcuyuDyDGybamRk1deCSU0MztJlakOwT/zNW+BBUXOhLrv9fS483ToMvcpoeQiE7q5fDLlceXydVq3w36LvJ7FAkSOhWq4axI54fpz9OYRIHKax5mjEDnNfQ0QOUbipYycb2e8pfcmjVBdbqaWqlxHW3c+ValEmb6d8Yben/Q35ZQJ7hRstdjJap1aTPf+fLAOWXpEECnu660Jw5ROlGuTTkfo7Yl36PsZ/5aU05KVPYK1kkrprp/21nrt99dHU0bp0GVGasRPBzXeyfly+sv6cPKDyuWzapteXNt1PjP430+mPqEJtd8pk6/VlMxY5fNZ7bj4BWqXXkIT637Qa7/fqGmZKrVPL6ltu5yudulumlz3i16bcFNwR6IsUaktFuurrhUt86OX5xc5tbnpenTsKZqWrVKH9NLao+uVGlvzyZ9m1bFsWX00+WFNzY7Xlov1C2Y1+78/N/4SLVa+vL6c9rLWbreHPpryqJKJlLq33UmbdPTvI8eJHKM/TEJclsgJEZ9DN5sAkdNs1BxoHgLcybG7LIgcI9tSRc707O96ZGw/9ek2JAiL58cPUreKNbVKm201auyJ6rPkjeqQXkqfTXtWn097QXt1u0HPjL9QK7feSt3b7hic3d9+OUI7LX6B3FrvTLxbey95k6SEHvv1NK3bfj+t0mZr3fPT/lq97U7atJP7waQJNTyulk5UaOTPh2q/pf6q9uluev33m5VIJIL/KB899Sl9MOn+xsex3phwiyqS7bRxx8M0asxJ2rDjIVqx9eb6aMojGlP9sXZd4lI9OvZkrdluN63Rtqeqar/U8+Mv1UFL361kIm00CbtlF3Qn5/fab/VC1eU6cOnhQejNb1YLihz3/e6O2m5dLw8i9c0Jt6ltqgt3cuxGyspzCRA5XBJxECBy4jBlf8+RyLGbDZFjZFuqyPly2kv6bsbb2nmJi4KdZvI1weNPX03/p76b8S/tssTA4Nfde0Du/HFPHbnsKH074039MPNd7bz4hfqt9mu9WHVl8B/bUl51+WqVJVoF3+OCxd11Wa/D/hrx0wHqucRAda1YPfi92d+T4+4glSXrv+fr6a/qi2kvBv/h7SLnl5n/adzb6KlPqKrma23Y8VA9MvakYC/uK5fPKKs61WSn6aExx+uo5R5tfAzu72NP1WadjtGSlX8xmoTdsoVGzufTnp/vrP439R/zvZPzYtXlWrx81caoIXLsZsnK8xYgcrgy4iBA5MRhyv6eI5FjNxsix8i2VJHz8ZRHNKH2B23b5Yw5dvqfyQ9rUt1Pc/z68B/30j5L3aqKZFs98MvROmyZ+/Xh5IeUV04bdzxc1dnJ+tek4cH3ua+pmXHBY1DrdzgwiJw9u12vDmVLzRE5rVOd9f6k+/Rz9YfBr9dkp6ptegnt3vWKIHLG13yu7boMCH6v4d//0r53cBfj4KVHzLHnqtqv9NjY/mqb/uPDDOpy1dqycz+t1Pr/jCZht2yhkbOgWX03/c0FRs4yrTYI7nq5LyLHbpasTORwDcRXgMiJ7+x9OHMix24KRI6Rbakix93J+XrG69p1iUH1kZGbFrw3x0WHe69Ow6+7Ozwuco5a9tHgrsvT485Xj/a9g8fTXIR0Ll8puHPj7qhs0/m04G6Qe8+Mu5PTGDlLXh88+ua+Gu7kjK0erf9Mfki9u12r8mSb4A7SF9NeWmDkbNTxcI0a01dHLvdIcMfG3clx79lx+3rY/fqsOzxG9M22bKGR4+7kzG9W/5v2D02uG6utOp8c7PvdSSNUk5saPA7o7uQs22pDrd52ZyKn2abKgWYX4E4O10McBIicOEzZ33MkcuxmQ+QY2ZYqctz7aB4ec4L27HadOpYto5eqrtLi5ato1bbbBcHQ8J6c0VOf1LfT31SvbtcEZ/S/qc/op+oPNLHuRx2w1B3Br7n/aHZv8u/Rvo/ce0aer7pMK7feUpt0OrL+Ts48Isc9EvfzzA+CR9lcYL1YdYXq8jOD9/7M707Odl3O1MNjTtQ67fsE7wtyH1Dw08z3Z70n55Tg11dps01wZ+mticOC/8BveITOaBwmyxYaOdOzv813Vu7xv0+nPh1EpPsAh8d/PT14ZHBekfP2xNuVUlkwLx+/+OABH6eyaHsichbNj+9uGQJETsuYU1R3SeTYTZbIMbItVeS47X0z4w29N3FEEBdLV64326ervan3J90ffKywe4Rsq86nBB8O4L5cQIz8+ZDg/RwbdTw0+LVxNZ/pn79dq1QircUrumvFVpvpld+vl4uSV3+7YZ6R4/6j+tmqgcFjam3SXbRJxyP1fNWg4BO+3Ce5zetxNXfnyH2EsrtT5B6J65heZo5PV3t9ws3Bm/HdXR4XXGu229VoCrbLFho5bhfufVLzmpW7A/fc+EGqzk1Wu9QS6li+XDA796l3c9/J+bn6P3qh6jIt32oTbd/lLNuTa8LqRE4T0Dz/FiLH8wGxvZIIEDklYWSRJgoQOU2EK+DbiJwCkJryklJGTlOOz/fYCywocuyP7t8RiBz/ZrKoOyJyFlWQ728JAkROS5hSdPdI5NjNlsgxsiVyjGA9WpbImXMYRI5HF2eJtkLklAiSZbwWIHK8Hk/kN0fk2I2YyDGyJXKMYD1alsghcjy6HE22QuSYsLKoZwJEjmcDidl2iBy7gRM5RrZEjhGsR8sSOUSOR5ejyVaIHBNWFvVMgMjxbCAx2w6RYzdwIsfIlsgxgvVoWSKHyPHocjTZCpFjwsqingkQOZ4NJGbbIXLsBk7kGNkSOUawHi1L5BA5Hl2OJlshckxYWdQzASLHs4HEbDtEjt3AiRwjWyLHCNajZYkcIsejy9FkK0SOCSuLeiZA5Hg2kJhth8ixGziRY2RL5BjBerQskUPkeHQ5mmyFyDFhZVHPBIgczwYSs+0QOXYDJ3KMbIkcI1iPliVyiByPLkeTrRA5Jqws6pkAkePZQGK2HSLHbuBEjpEtkWME69GyRA6R49HlaLKVRYmc1sm0zuq2nl6fOkb/nPqLlJeUqN/m+8v1VPehQ5QZ/YHJvlkUgWIEiJxitHhtqQWInFKL/rEekWNkS+QYwXq0LJFD5Hh0OZpsZVEjZ/p6x2qXL57Qc9PGzLE/IsdkXCzaRAEip4lwfFtJBIickjDOcxEix8iWyDGC9WhZIofI8ehyNNkKkWPCyqKeCRA5ng0kZtshcuwGTuQY2RI5RrAeLUvkEDkeXY4mWyFyTFhZ1DMBIsezgcRsO0SO3cCJHCNbIscI1qNliRwix6PL0WQrRI4JK4t6JkDkeDaQmG2HyLEbOJFjZEvkGMF6tCyRQ+R4dDmabIXIMWFlUc8EiBzPBhKz7RA5dgMncoxsiRwjWI+WJXKIHI8uR5OtEDkmrCzqmQCR49lAYrYdIsdu4ESOkS2RYwTr0bJEDpHj0eVoshUix4SVRT0TIHI8G0jMtkPk2A2cyDGyJXKMYD1alsghcjy6HE22QuSYsLKoZwJEjmcDidl2iBy7gRM5RrZEjhGsR8sSOUSOR5ejyVaIHBNWFvVMgMjxbCAx2w6RYzdwIsfIlsgxgvVoWSKHyPHocjTZCpFjwsqingkQOZ4NJGbbIXLsBk7kGNkSOUawHi1L5BA5Hl2OJltZ1Mjp1XEFja+bqX9O/WWO/b2/XE91HzpEmdEfmOybRREoRoDIKUaL15ZagMgptegf6xE5RrZEjhGsR8sSOUSOR5ejyVYWJXIWtCEix2RcLNpEASKniXB8W0kEiJySMM5zESLHyJbIMYL1aFkih8jx6HI02QqRY8LKop4JEDmeDSRm2yFy7AZO5BjZEjlGsB4tS+QQOR5djiZbIXJMWFnUMwEix7OBxGw7RI7dwIkcI1sixwjWo2WJHCLHo8vRZCtEjgkri3omQOR4NpCYbYfIsRs4kWNkS+QYwXq0LJFD5Hh0OZpshcgxYWVRzwSIHM8GErPtEDl2AydyjGyJHCNYj5Ylcogcjy5Hk60QOSasLOqZAJHj2UBith0ix27gRI6RLZFjBOvRskQOkePR5WiyFSLHhJVFPRMgcjwbSMy2Q+TYDZzIMbIlcoxgPVqWyCFyPLocTbZC5JiwsqhnAkSOZwOJ2XaIHLuBEzlGtkSOEaxHyxI5RI5Hl6PJVogcE1YW9UyAyPFsIDHbDpFjN3Aix8iWyDGC9WhZIofI8ehyNNkKkWPCyqKeCRA5ng0kZtshcuwGTuQY2RI5RrAeLUvkEDkeXY4mWyFyTFhZ1DMBIsezgcRsO0SO3cCJHCNbIscI1qNliRwix6PL0WQrRI4JK4t6JkDkeDaQmG2HyLEbOJFjZEvkGMF6tCyRQ+R4dDmabIXIMWFlUc8EiBzPBhKz7RA5dgMncoxsiRwjWI+WJXKIHI8uR5OtEDkmrCzqmQCR49lAYrYdIsdu4ESOkS2RYwTr0bJEDpHj0eVoshUix4SVRT0TIHI8G0jMtkPk2A2cyDGyJXKMYD1alsghcjy6HE22QuSYsLKoZwJEjmcDidl2iBy7gRM5RrZEjhGsR8sSOUSOR5ejyVaIHBNWFvVMgMjxbCAx2w6RYzdwIsfIlsgxgvVoWSKHyPHocjTZCpFjwsqingkQOZ4NJGbbIXLsBk7kGNkSOUawHi1L5BA5Hl2OJlshckxYWdQzASLHs4HEbDtEjt3AiRwjWyLHCNajZYkcIsejy9FkK0SOCSuLeiZA5Hg2kJhth8ixGziRY2RL5BjBerQskUPkeHQ5mmyFyDFhZVHPBIgczwYSs+0QOXYDJ3KMbIkcI1iPliVyiByPLkeTrRA5Jqws6pkAkePZQGK2HSLHbuBEjpEtkWME69GyRA6R49HlaLIVIseElUU9EyByPBtIzLZD5NgNnMgxsiVyjGA9WpbIIXI8uhxNtkLkmLCyqGcCRI5nA4nZdogcu4ETOUa2RI4RrEfLEjlEjkeXo8lWiBwTVhb1TIDI8WwgMdsOkWM3cCLHyJbIMYL1aFkih8jx6HI02QqRY8LKop4JEDmeDSRm2yFy7AZO5BjZEjlGsB4tS+QQOR5djiZbIXJMWFnUMwEix7OBxGw7RI7dwIkcI1sixwjWo2WJHCLHo8vRZCtEjgkri3omQOR4NpCYbYfIsRs4kWNkS+QYwXq0LJFD5Hh0OZpshcgxYWVRzwSIHM8GErPtEDl2AydyjGyJHCNYj5Ylcogcjy5Hk60QOSasLOqZAJHj2UBith0ix27gRI6RLZFjBOvRskQOkePR5WiyFSLHhJVFPRMgcjwbSMy2Q+TYDZzIMbIlcoxgPVqWyCFyPLocTbZC5JiwsqhnAkSOZwOJ2XaIHLuBEzlGtkSOEaxHyxI5RI5Hl6PJVogcE1YW9UyAyPFsIDHbDpFjN3Aix8iWyDGC9WhZIofI8ehyNNkKkWPCyqKeCRA5ng0kZtshcuwGTuQY2RI5RrAeLUvkEDkeXY4mWyFyTFhZ1DMBIsezgcRsO0SO3cCJHCNbIscI1qNliRwix6PL0WQrRI4JK4t6JkDkeDaQmG2HyLEbOJFjZEvkGMF6tCyRQ+R4dDmabIXIMWFlUc8EiBzPBhKz7RA5dgMncoxsiRwjWI+WJXKIHI8uR5OtEDkmrCzqmQCR49lAYrYdIsdu4ESOkS2RYwTr0bJEDpHj0eVoshUix4SVRT0TIHI8G0jMtkPk2A2cyDGyJXKMYD1alsghcjy6HE22QuSYsLKoZwJEjmcDidl2iBy7gRM5RrZEjhGsR8sSOUSOR5ejyVaIHBNWFvVMgMjxbCAx2w6RYzdwIsfIlsgxgvVoWSKHyPHocjTZCpFjwsqingkQOZ4NJGbbIXLsBk7kGNkSOUawHi1L5BA5Hl2OJlshckxYWdQzASLHs4HEbDtEjt3AiRwjWyLHCNajZYkcIsejy9FkK0SOCSuLeiZA5Hg2kJhth8ixGziRY2RL5BjBerQskUPkeHQ5mmyFyDFhZVHPBIgczwYSs+0QOXYDJ3KMbIkcI1iPliVyiByPLkeTrRA5Jqws6pkAkePZQGK2HSLHbuBEjpEtkWME69GyRA6R49HlaLIVIseElUU9EyByPBtIzLZD5NgNnMgxsiVyjGA9WpbIIXI8uhxNtkLkmLCyqGcCRI5nA4nZdogcu4ETOUa2RI4RrEfLEjlEjkeXo8lWiBwTVhb1TIDI8WwgMdsOkWM3cCLHyJbIMYL1aFkih8jx6HI02QqRY8LKop4JEDmeDSRm2yFy7AZO5BjZEjlGsB4tS+QQOR5djiZbIXJMWFnUMwEix7OBxGw7RI7dwIkcI1sixwjWo2WJHCLHo8vRZCtEjgkri3omQOR4NpCYbYfIsRs4kWNkS+QYwXq0LJFD5Hh0OZpshcgxYWVRzwSIHM8GErPtEDl2AydyjGyJHCNYj5Ylcogcjy5Hk60QOSasLOqZAJHj2UBith0ix27gRI6RbVMix2grzbxsXlKimY8ZzuG6rjhdFU8NVOajd1Rx/jB998Ma4WzEo6OuWPaUau4e7NGO2MqiCBQTOVdW/bfgQ+2e7qzuQ4coM/qDgr+HFyJgJUDkWMmybiECRE4hSk17DZHTNLeFflexkbPQBXmBlwKZrz4NIqdy36O83F8Ym6oedVcYh+WYBgKFRk5Fr4OKPnrms4+JnKLV+AYLASLHQpU1CxUgcgqVKv51RE7xZgV9RzGRU9CCvAgBBBBoZoFCIqeZt8ThECi5AJFTclIWLEKAyCkCq8iXEjlFghX6ciKnUClehwACvgoQOb5Ohn2VUoDIKaUmaxUrQOQUK1b464m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        "                            \n",
-       "var gd = document.getElementById('9511d983-a952-4655-9128-c52e4d318617');\n",
+       "var gd = document.getElementById('cda378a3-c355-49f6-a42a-cff6c57a3b8d');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
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@@ -4877,374 +4961,51 @@
     }
    ],
    "source": [
-    "plot_treemap(df, (\"cpu\", \"mean\"), \"cpu_mean\", \"CPU treemap\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## N = 32"
+    "plot_treemap(df, (\"time\", \"sum\"), \"time_sum\", \"Time treemap\")"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Armado del dataset"
+    "### Comparación de memoria"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 113,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
+     "name": "stderr",
      "output_type": "stream",
      "text": [
-      "[34.959155, 12.878561, 60.414342, 35.334899, 71.344033, 39.886457, 18.975958, 23.163878]\n"
+      "/home/oli/.local/lib/python3.6/site-packages/ipykernel_launcher.py:13: RuntimeWarning:\n",
+      "\n",
+      "invalid value encountered in double_scalars\n",
+      "\n"
      ]
     },
     {
      "data": {
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-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>Py_kgeneration</th>\n",
-       "      <td>240.1</td>\n",
-       "      <td>240.1</td>\n",
-       "      <td>240.1</td>\n",
-       "      <td>36.513030</td>\n",
-       "      <td>36.513030</td>\n",
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-       "      <td>47.638534</td>\n",
-       "      <td>47.638534</td>\n",
-       "      <td>47.638534</td>\n",
-       "      <td>47.638534</td>\n",
-       "      <td>1</td>\n",
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-       "      <th>generate</th>\n",
-       "      <td>197.0</td>\n",
-       "      <td>197.0</td>\n",
-       "      <td>197.0</td>\n",
-       "      <td>37.119660</td>\n",
-       "      <td>37.119660</td>\n",
-       "      <td>37.119660</td>\n",
-       "      <td>35.573628</td>\n",
-       "      <td>35.573628</td>\n",
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-       "      <th>gasdev</th>\n",
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-       "      <td>0.000098</td>\n",
-       "      <td>0.017469</td>\n",
-       "      <td>0.000797</td>\n",
-       "      <td>26.105193</td>\n",
-       "      <td>32768</td>\n",
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-       "    <tr>\n",
-       "      <th>fftma2</th>\n",
-       "      <td>43.1</td>\n",
-       "      <td>43.1</td>\n",
-       "      <td>43.1</td>\n",
-       "      <td>34.781175</td>\n",
-       "      <td>34.781175</td>\n",
-       "      <td>34.781175</td>\n",
-       "      <td>12.060570</td>\n",
-       "      <td>12.060570</td>\n",
-       "      <td>12.060570</td>\n",
-       "      <td>12.060570</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>covariance</th>\n",
-       "      <td>42.6</td>\n",
-       "      <td>42.6</td>\n",
-       "      <td>42.6</td>\n",
-       "      <td>34.788296</td>\n",
-       "      <td>34.788296</td>\n",
-       "      <td>34.788296</td>\n",
-       "      <td>12.036319</td>\n",
-       "      <td>12.036319</td>\n",
-       "      <td>12.036319</td>\n",
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-       "      <td>1</td>\n",
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-       "    <tr>\n",
-       "      <th>ran2</th>\n",
-       "      <td>-7.1</td>\n",
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-       "      <td>0.000000</td>\n",
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-       "      <td>1.048878</td>\n",
-       "      <td>0.000094</td>\n",
-       "      <td>0.001763</td>\n",
-       "      <td>0.000191</td>\n",
-       "      <td>7.933390</td>\n",
-       "      <td>41552</td>\n",
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-       "    <tr>\n",
-       "      <th>cov_value</th>\n",
-       "      <td>-4.1</td>\n",
-       "      <td>2.5</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.000000</td>\n",
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-       "      <td>1.028264</td>\n",
-       "      <td>0.000181</td>\n",
-       "      <td>0.000461</td>\n",
-       "      <td>0.000199</td>\n",
-       "      <td>4.906137</td>\n",
-       "      <td>24624</td>\n",
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-       "    <tr>\n",
-       "      <th>fourt</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
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-       "      <td>0.004642</td>\n",
-       "      <td>0.006769</td>\n",
-       "      <td>0.005419</td>\n",
-       "      <td>0.016257</td>\n",
-       "      <td>3</td>\n",
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-       "      <th>cgrid</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
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-       "      <td>29.216667</td>\n",
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-       "      <td>0.003691</td>\n",
-       "      <td>0.003691</td>\n",
-       "      <td>0.003691</td>\n",
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-       "      <td>25.025000</td>\n",
-       "      <td>5.007500</td>\n",
-       "      <td>0.000179</td>\n",
-       "      <td>0.000185</td>\n",
-       "      <td>0.000182</td>\n",
-       "      <td>0.000910</td>\n",
-       "      <td>5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>prebuild_gwn</th>\n",
-       "      <td>0.5</td>\n",
-       "      <td>0.5</td>\n",
-       "      <td>0.5</td>\n",
-       "      <td>0.012500</td>\n",
-       "      <td>0.012500</td>\n",
-       "      <td>0.012500</td>\n",
-       "      <td>0.000599</td>\n",
-       "      <td>0.000599</td>\n",
-       "      <td>0.000599</td>\n",
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-       "      <td>1</td>\n",
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-       "    <tr>\n",
-       "      <th>build_real</th>\n",
-       "      <td>0.0</td>\n",
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-       "      <td>0.012500</td>\n",
-       "      <td>0.012500</td>\n",
-       "      <td>0.000510</td>\n",
-       "      <td>0.000510</td>\n",
-       "      <td>0.000510</td>\n",
-       "      <td>0.000510</td>\n",
-       "      <td>1</td>\n",
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-       "    <tr>\n",
-       "      <th>clean_real</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
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-       "      <td>0.012500</td>\n",
-       "      <td>0.012500</td>\n",
-       "      <td>0.000403</td>\n",
-       "      <td>0.000403</td>\n",
-       "      <td>0.000403</td>\n",
-       "      <td>0.000403</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "               memory                      cpu                        \\\n",
-       "                  min    max median        min        max       mean   \n",
-       "function                                                               \n",
-       "Py_kgeneration  240.1  240.1  240.1  36.513030  36.513030  36.513030   \n",
-       "generate        197.0  197.0  197.0  37.119660  37.119660  37.119660   \n",
-       "gasdev          -14.9    6.5    0.0   0.000000  75.087500   3.952230   \n",
-       "fftma2           43.1   43.1   43.1  34.781175  34.781175  34.781175   \n",
-       "covariance       42.6   42.6   42.6  34.788296  34.788296  34.788296   \n",
-       "ran2             -7.1    2.6    0.0   0.000000  62.562500   1.048878   \n",
-       "cov_value        -4.1    2.5    0.0   0.000000  62.562500   1.028264   \n",
-       "fourt             0.0    0.0    0.0  15.100000  30.062500  20.900000   \n",
-       "cgrid             0.0    0.0    0.0  29.216667  29.216667  29.216667   \n",
-       "length            0.0    0.0    0.0   0.000000  37.550000  12.520833   \n",
-       "maxfactor         0.0    0.0    0.0   0.000000  25.025000   5.007500   \n",
-       "prebuild_gwn      0.5    0.5    0.5   0.012500   0.012500   0.012500   \n",
-       "build_real        0.0    0.0    0.0   0.012500   0.012500   0.012500   \n",
-       "clean_real        0.0    0.0    0.0   0.012500   0.012500   0.012500   \n",
-       "\n",
-       "                     time                                          \n",
-       "                      min        max       mean        sum  count  \n",
-       "function                                                           \n",
-       "Py_kgeneration  47.638534  47.638534  47.638534  47.638534      1  \n",
-       "generate        35.573628  35.573628  35.573628  35.573628      1  \n",
-       "gasdev           0.000098   0.017469   0.000797  26.105193  32768  \n",
-       "fftma2          12.060570  12.060570  12.060570  12.060570      1  \n",
-       "covariance      12.036319  12.036319  12.036319  12.036319      1  \n",
-       "ran2             0.000094   0.001763   0.000191   7.933390  41552  \n",
-       "cov_value        0.000181   0.000461   0.000199   4.906137  24624  \n",
-       "fourt            0.004642   0.006769   0.005419   0.016257      3  \n",
-       "cgrid            0.003691   0.003691   0.003691   0.003691      1  \n",
-       "length           0.000633   0.001058   0.000914   0.002742      3  \n",
-       "maxfactor        0.000179   0.000185   0.000182   0.000910      5  \n",
-       "prebuild_gwn     0.000599   0.000599   0.000599   0.000599      1  \n",
-       "build_real       0.000510   0.000510   0.000510   0.000510      1  \n",
-       "clean_real       0.000403   0.000403   0.000403   0.000403      1  "
-      ]
-     },
-     "execution_count": 113,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df = analyze(['log_32-aa'])\n",
-    "overall_time[\"32\"] = df.loc[\"Py_kgeneration\"][(\"time\", \"sum\")]\n",
-    "overall_memory[\"32\"] = abs(df.loc[\"Py_kgeneration\"][(\"memory\", \"median\")])\n",
-    "df"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Comparación de tiempos"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 114,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 600x600 with 4 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
    "source": [
-    "plot_pie_charts(df, \"Time comparisons\", (\"time\", \"sum\"))"
+    "plot_pie_charts(df, \"Memory comparisons\", (\"memory\", \"median\"))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 115,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -5265,7 +5026,7 @@
            1
           ]
          },
-         "hovertemplate": "function=%{label}<br>time_sum=%{value}<br>parent=%{parent}<extra></extra>",
+         "hovertemplate": "function=%{label}<br>memory_median=%{value}<br>parent=%{parent}<extra></extra>",
          "labels": [
           "Py_kgeneration",
           "generate",
@@ -5274,13 +5035,13 @@
           "covariance",
           "ran2",
           "cov_value",
-          "fourt",
           "cgrid",
+          "fourt",
           "length",
           "maxfactor",
-          "prebuild_gwn",
           "build_real",
-          "clean_real"
+          "clean_real",
+          "prebuild_gwn"
          ],
          "marker": {
           "colors": [
@@ -5291,13 +5052,13 @@
            "#ab63fa",
            "#FFA15A",
            "#19d3f3",
+           "#636efa",
            "#ab63fa",
            "#636efa",
            "#636efa",
            "#636efa",
-           "#ab63fa",
            "#636efa",
-           "#636efa"
+           "#ab63fa"
           ]
          },
          "name": "",
@@ -5309,30 +5070,30 @@
           "fftma2",
           "gasdev",
           "covariance",
+          "",
           "fftma2",
           "",
           "",
           "",
-          "fftma2",
           "",
-          ""
+          "fftma2"
          ],
          "type": "treemap",
          "values": [
-          47.638534,
-          35.573628,
-          26.105192999998817,
-          12.06057,
-          12.036319,
-          7.93339000000048,
-          4.906137000000049,
-          0.016257,
-          0.003691,
-          0.0027419999999999996,
-          0.00091,
-          0.000599,
-          0.00051,
-          0.000403
+          26.2,
+          25.7,
+          0,
+          0.5,
+          0.5,
+          0,
+          0,
+          0,
+          0,
+          0,
+          0,
+          0,
+          0,
+          0
          ]
         }
        ],
@@ -5355,6 +5116,11 @@
              "line": {
               "color": "#E5ECF6",
               "width": 0.5
+             },
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
              }
             },
             "type": "bar"
@@ -5366,6 +5132,11 @@
              "line": {
               "color": "#E5ECF6",
               "width": 0.5
+             },
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
              }
             },
             "type": "barpolar"
@@ -5564,9 +5335,10 @@
           "histogram": [
            {
             "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
              }
             },
             "type": "histogram"
@@ -6148,15 +5920,15 @@
          }
         },
         "title": {
-         "text": "Time treemap"
+         "text": "Memory treemap"
         }
        }
       },
-      "image/png": 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",
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        "                            \n",
-       "var gd = document.getElementById('e7f38975-cd38-422b-a1d2-b880981d2a54');\n",
+       "var gd = document.getElementById('5b9facb3-1cd5-40bd-b572-7d81fda2219f');\n",
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@@ -6186,58 +5958,19 @@
     }
    ],
    "source": [
-    "plot_treemap(df, (\"time\", \"sum\"), \"time_sum\", \"Time treemap\")"
+    "plot_treemap(df, (\"memory\", \"median\"), \"memory_median\", \"Memory treemap\")"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Comparación de memoria"
+    "### Análisis de la CPU"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 116,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/cecix/.local/lib/python2.7/site-packages/ipykernel_launcher.py:13: RuntimeWarning:\n",
-      "\n",
-      "invalid value encountered in double_scalars\n",
-      "\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 600x600 with 4 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_pie_charts(df, \"Memory comparisons\", (\"memory\", \"median\"))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Análisis de la CPU"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 117,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
@@ -6267,13 +6000,13 @@
           "covariance",
           "ran2",
           "cov_value",
-          "fourt",
           "cgrid",
+          "fourt",
           "length",
           "maxfactor",
-          "prebuild_gwn",
           "build_real",
-          "clean_real"
+          "clean_real",
+          "prebuild_gwn"
          ],
          "marker": {
           "colors": [
@@ -6284,13 +6017,13 @@
            "#ab63fa",
            "#FFA15A",
            "#19d3f3",
+           "#636efa",
            "#ab63fa",
            "#636efa",
            "#636efa",
            "#636efa",
-           "#ab63fa",
            "#636efa",
-           "#636efa"
+           "#ab63fa"
           ]
          },
          "name": "",
@@ -6302,30 +6035,30 @@
           "fftma2",
           "gasdev",
           "covariance",
+          "",
           "fftma2",
           "",
           "",
           "",
-          "fftma2",
           "",
-          ""
+          "fftma2"
          ],
          "type": "treemap",
          "values": [
-          36.513029874999994,
-          37.119660375,
-          3.952229582167898,
-          34.781174625000006,
-          34.788295999999995,
-          1.0488777115030088,
-          1.0282644304084279,
-          20.899999999999995,
-          29.216666625,
-          12.520833333333334,
-          5.007499999999999,
-          0.0125,
+          22.268545625,
+          21.9475485,
+          1.1228342693176054,
+          23.439716500000003,
+          23.456246375,
+          0.2733936028853491,
+          0.2734041806958487,
           0.0125,
-          0.0125
+          0.008333333333333333,
+          0.004166666666666667,
+          0,
+          0,
+          12.5125,
+          0
          ]
         }
        ],
@@ -6348,6 +6081,11 @@
              "line": {
               "color": "#E5ECF6",
               "width": 0.5
+             },
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
              }
             },
             "type": "bar"
@@ -6359,6 +6097,11 @@
              "line": {
               "color": "#E5ECF6",
               "width": 0.5
+             },
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
              }
             },
             "type": "barpolar"
@@ -6557,9 +6300,10 @@
           "histogram": [
            {
             "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
              }
             },
             "type": "histogram"
@@ -7145,11 +6889,11 @@
         }
        }
       },
-      "image/png": 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        "                            \n",
-       "var gd = document.getElementById('37b632d7-0410-48a8-baa1-a162fd536112');\n",
+       "var gd = document.getElementById('8d5993bb-dcec-4230-88a1-3c00c8028424');\n",
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@@ -7186,7 +6930,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## N = 64"
+    "## N = 32"
    ]
   },
   {
@@ -7198,16 +6942,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 118,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Executing file log_64-aa\n",
-      "Executing file log_64-ab\n",
-      "[39.241055, 42.262603, 56.511493, 42.525066, 42.717744, 35.235135, 28.406878, 32.749276]\n"
+      "[20.294247, 10.917166, 35.779612, 14.204116, 34.126128, 10.814286, 20.231815, 28.311285]\n"
      ]
     },
     {
@@ -7235,23 +6977,23 @@
        "  <thead>\n",
        "    <tr>\n",
        "      <th></th>\n",
-       "      <th colspan=\"3\" halign=\"left\">cpu</th>\n",
-       "      <th colspan=\"3\" halign=\"left\">memory</th>\n",
        "      <th colspan=\"5\" halign=\"left\">time</th>\n",
+       "      <th colspan=\"3\" halign=\"left\">memory</th>\n",
+       "      <th colspan=\"3\" halign=\"left\">cpu</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th></th>\n",
+       "      <th>min</th>\n",
        "      <th>max</th>\n",
        "      <th>mean</th>\n",
+       "      <th>sum</th>\n",
+       "      <th>count</th>\n",
        "      <th>min</th>\n",
        "      <th>max</th>\n",
        "      <th>median</th>\n",
        "      <th>min</th>\n",
-       "      <th>count</th>\n",
        "      <th>max</th>\n",
        "      <th>mean</th>\n",
-       "      <th>min</th>\n",
-       "      <th>sum</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>function</th>\n",
@@ -7271,284 +7013,7870 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>Py_kgeneration</th>\n",
-       "      <td>39.623390</td>\n",
-       "      <td>39.623390</td>\n",
-       "      <td>39.623390</td>\n",
-       "      <td>-199.3</td>\n",
-       "      <td>-199.3</td>\n",
-       "      <td>-199.3</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>415.639768</td>\n",
-       "      <td>415.639768</td>\n",
-       "      <td>415.639768</td>\n",
-       "      <td>415.639768</td>\n",
+       "      <td>22.050032</td>\n",
+       "      <td>22.050032</td>\n",
+       "      <td>22.050032</td>\n",
+       "      <td>22.050032</td>\n",
+       "      <td>1</td>\n",
+       "      <td>51.1</td>\n",
+       "      <td>51.1</td>\n",
+       "      <td>51.1</td>\n",
+       "      <td>20.691014</td>\n",
+       "      <td>20.691014</td>\n",
+       "      <td>20.691014</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>generate</th>\n",
-       "      <td>39.956156</td>\n",
-       "      <td>39.956156</td>\n",
-       "      <td>39.956156</td>\n",
-       "      <td>-281.6</td>\n",
-       "      <td>-281.6</td>\n",
-       "      <td>-281.6</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>329.579564</td>\n",
-       "      <td>329.579564</td>\n",
-       "      <td>329.579564</td>\n",
-       "      <td>329.579564</td>\n",
+       "      <td>16.448229</td>\n",
+       "      <td>16.448229</td>\n",
+       "      <td>16.448229</td>\n",
+       "      <td>16.448229</td>\n",
+       "      <td>1</td>\n",
+       "      <td>31.4</td>\n",
+       "      <td>31.4</td>\n",
+       "      <td>31.4</td>\n",
+       "      <td>21.834832</td>\n",
+       "      <td>21.834832</td>\n",
+       "      <td>21.834832</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>gasdev</th>\n",
+       "      <td>0.000081</td>\n",
+       "      <td>0.023334</td>\n",
+       "      <td>0.000373</td>\n",
+       "      <td>12.227146</td>\n",
+       "      <td>32768</td>\n",
+       "      <td>-6.0</td>\n",
+       "      <td>3.7</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>71.950000</td>\n",
+       "      <td>1.199399</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>fftma2</th>\n",
-       "      <td>38.343737</td>\n",
-       "      <td>38.343737</td>\n",
-       "      <td>38.343737</td>\n",
-       "      <td>85.3</td>\n",
-       "      <td>85.3</td>\n",
-       "      <td>85.3</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>86.059132</td>\n",
-       "      <td>86.059132</td>\n",
-       "      <td>86.059132</td>\n",
-       "      <td>86.059132</td>\n",
+       "      <td>5.598813</td>\n",
+       "      <td>5.598813</td>\n",
+       "      <td>5.598813</td>\n",
+       "      <td>5.598813</td>\n",
+       "      <td>1</td>\n",
+       "      <td>16.5</td>\n",
+       "      <td>16.5</td>\n",
+       "      <td>16.5</td>\n",
+       "      <td>17.350988</td>\n",
+       "      <td>17.350988</td>\n",
+       "      <td>17.350988</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>covariance</th>\n",
-       "      <td>38.374862</td>\n",
-       "      <td>38.374862</td>\n",
-       "      <td>38.374862</td>\n",
-       "      <td>80.9</td>\n",
-       "      <td>80.9</td>\n",
-       "      <td>80.9</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>85.894170</td>\n",
-       "      <td>85.894170</td>\n",
-       "      <td>85.894170</td>\n",
-       "      <td>85.894170</td>\n",
+       "      <td>5.585673</td>\n",
+       "      <td>5.585673</td>\n",
+       "      <td>5.585673</td>\n",
+       "      <td>5.585673</td>\n",
+       "      <td>1</td>\n",
+       "      <td>13.5</td>\n",
+       "      <td>13.5</td>\n",
+       "      <td>13.5</td>\n",
+       "      <td>17.329150</td>\n",
+       "      <td>17.329150</td>\n",
+       "      <td>17.329150</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>gasdev</th>\n",
-       "      <td>100.100000</td>\n",
-       "      <td>4.585812</td>\n",
+       "      <th>ran2</th>\n",
+       "      <td>0.000081</td>\n",
+       "      <td>0.001566</td>\n",
+       "      <td>0.000093</td>\n",
+       "      <td>3.877959</td>\n",
+       "      <td>41552</td>\n",
+       "      <td>-2.2</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.000000</td>\n",
-       "      <td>8.0</td>\n",
+       "      <td>50.050000</td>\n",
+       "      <td>0.287221</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>cov_value</th>\n",
+       "      <td>0.000083</td>\n",
+       "      <td>0.000243</td>\n",
+       "      <td>0.000097</td>\n",
+       "      <td>2.391988</td>\n",
+       "      <td>24624</td>\n",
+       "      <td>-2.4</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>-61.2</td>\n",
-       "      <td>262144.0</td>\n",
-       "      <td>0.011277</td>\n",
-       "      <td>0.000909</td>\n",
-       "      <td>0.000193</td>\n",
-       "      <td>242.610944</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>50.050000</td>\n",
+       "      <td>0.237855</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>fourt</th>\n",
-       "      <td>26.647619</td>\n",
-       "      <td>21.861514</td>\n",
-       "      <td>18.985732</td>\n",
-       "      <td>2.3</td>\n",
-       "      <td>0.4</td>\n",
+       "      <td>0.002374</td>\n",
+       "      <td>0.003688</td>\n",
+       "      <td>0.002970</td>\n",
+       "      <td>0.008911</td>\n",
+       "      <td>3</td>\n",
        "      <td>-0.2</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>0.066393</td>\n",
-       "      <td>0.050588</td>\n",
-       "      <td>0.042309</td>\n",
-       "      <td>0.151763</td>\n",
+       "      <td>3.7</td>\n",
+       "      <td>0.5</td>\n",
+       "      <td>0.025000</td>\n",
+       "      <td>18.825000</td>\n",
+       "      <td>12.541667</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>cov_value</th>\n",
-       "      <td>62.575000</td>\n",
-       "      <td>1.210890</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>3.0</td>\n",
+       "      <th>cgrid</th>\n",
+       "      <td>0.001833</td>\n",
+       "      <td>0.001833</td>\n",
+       "      <td>0.001833</td>\n",
+       "      <td>0.001833</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>-7.1</td>\n",
-       "      <td>156816.0</td>\n",
-       "      <td>0.000575</td>\n",
-       "      <td>0.000221</td>\n",
-       "      <td>0.000193</td>\n",
-       "      <td>34.674709</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>ran2</th>\n",
-       "      <td>75.087500</td>\n",
-       "      <td>1.219338</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>2.7</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>-17.8</td>\n",
-       "      <td>333450.0</td>\n",
-       "      <td>0.000691</td>\n",
-       "      <td>0.000218</td>\n",
-       "      <td>0.000190</td>\n",
-       "      <td>74.079918</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>build_real</th>\n",
        "      <td>0.012500</td>\n",
        "      <td>0.012500</td>\n",
        "      <td>0.012500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>length</th>\n",
+       "      <td>0.000309</td>\n",
+       "      <td>0.000544</td>\n",
+       "      <td>0.000456</td>\n",
+       "      <td>0.001368</td>\n",
+       "      <td>3</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.001935</td>\n",
-       "      <td>0.001935</td>\n",
-       "      <td>0.001935</td>\n",
-       "      <td>0.001935</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>prebuild_gwn</th>\n",
-       "      <td>0.025000</td>\n",
-       "      <td>0.025000</td>\n",
-       "      <td>0.025000</td>\n",
-       "      <td>2.2</td>\n",
-       "      <td>2.2</td>\n",
-       "      <td>2.2</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.002618</td>\n",
-       "      <td>0.002618</td>\n",
-       "      <td>0.002618</td>\n",
-       "      <td>0.002618</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.012500</td>\n",
+       "      <td>0.004167</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>clean_real</th>\n",
-       "      <td>6.287500</td>\n",
-       "      <td>6.287500</td>\n",
-       "      <td>6.287500</td>\n",
-       "      <td>0.4</td>\n",
-       "      <td>0.4</td>\n",
-       "      <td>0.4</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.001551</td>\n",
-       "      <td>0.001551</td>\n",
-       "      <td>0.001551</td>\n",
-       "      <td>0.001551</td>\n",
+       "      <th>build_real</th>\n",
+       "      <td>0.000520</td>\n",
+       "      <td>0.000520</td>\n",
+       "      <td>0.000520</td>\n",
+       "      <td>0.000520</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.7</td>\n",
+       "      <td>1.7</td>\n",
+       "      <td>1.7</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>cgrid</th>\n",
-       "      <td>0.025000</td>\n",
-       "      <td>0.025000</td>\n",
-       "      <td>0.025000</td>\n",
+       "      <th>maxfactor</th>\n",
+       "      <td>0.000092</td>\n",
+       "      <td>0.000116</td>\n",
+       "      <td>0.000098</td>\n",
+       "      <td>0.000489</td>\n",
+       "      <td>5</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.003504</td>\n",
-       "      <td>0.003504</td>\n",
-       "      <td>0.003504</td>\n",
-       "      <td>0.003504</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>length</th>\n",
-       "      <td>0.012500</td>\n",
-       "      <td>0.008333</td>\n",
+       "      <th>prebuild_gwn</th>\n",
+       "      <td>0.000245</td>\n",
+       "      <td>0.000245</td>\n",
+       "      <td>0.000245</td>\n",
+       "      <td>0.000245</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.5</td>\n",
+       "      <td>0.5</td>\n",
+       "      <td>0.5</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "      <td>0.000000</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>0.001141</td>\n",
-       "      <td>0.000827</td>\n",
-       "      <td>0.000668</td>\n",
-       "      <td>0.002481</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>maxfactor</th>\n",
-       "      <td>0.012500</td>\n",
-       "      <td>0.006250</td>\n",
-       "      <td>0.000000</td>\n",
+       "      <th>clean_real</th>\n",
+       "      <td>0.000190</td>\n",
+       "      <td>0.000190</td>\n",
+       "      <td>0.000190</td>\n",
+       "      <td>0.000190</td>\n",
+       "      <td>1</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>0.000198</td>\n",
-       "      <td>0.000195</td>\n",
-       "      <td>0.000193</td>\n",
-       "      <td>0.000780</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                       cpu                       memory                \\\n",
-       "                       max       mean        min    max median    min   \n",
-       "function                                                                \n",
-       "Py_kgeneration   39.623390  39.623390  39.623390 -199.3 -199.3 -199.3   \n",
-       "generate         39.956156  39.956156  39.956156 -281.6 -281.6 -281.6   \n",
-       "fftma2           38.343737  38.343737  38.343737   85.3   85.3   85.3   \n",
-       "covariance       38.374862  38.374862  38.374862   80.9   80.9   80.9   \n",
-       "gasdev          100.100000   4.585812   0.000000    8.0    0.0  -61.2   \n",
-       "fourt            26.647619  21.861514  18.985732    2.3    0.4   -0.2   \n",
-       "cov_value        62.575000   1.210890   0.000000    3.0    0.0   -7.1   \n",
-       "ran2             75.087500   1.219338   0.000000    2.7    0.0  -17.8   \n",
-       "build_real        0.012500   0.012500   0.012500    0.0    0.0    0.0   \n",
-       "prebuild_gwn      0.025000   0.025000   0.025000    2.2    2.2    2.2   \n",
-       "clean_real        6.287500   6.287500   6.287500    0.4    0.4    0.4   \n",
-       "cgrid             0.025000   0.025000   0.025000    0.0    0.0    0.0   \n",
-       "length            0.012500   0.008333   0.000000    0.0    0.0    0.0   \n",
-       "maxfactor         0.012500   0.006250   0.000000    0.0    0.0    0.0   \n",
+       "                     time                                         memory  \\\n",
+       "                      min        max       mean        sum  count    min   \n",
+       "function                                                                   \n",
+       "Py_kgeneration  22.050032  22.050032  22.050032  22.050032      1   51.1   \n",
+       "generate        16.448229  16.448229  16.448229  16.448229      1   31.4   \n",
+       "gasdev           0.000081   0.023334   0.000373  12.227146  32768   -6.0   \n",
+       "fftma2           5.598813   5.598813   5.598813   5.598813      1   16.5   \n",
+       "covariance       5.585673   5.585673   5.585673   5.585673      1   13.5   \n",
+       "ran2             0.000081   0.001566   0.000093   3.877959  41552   -2.2   \n",
+       "cov_value        0.000083   0.000243   0.000097   2.391988  24624   -2.4   \n",
+       "fourt            0.002374   0.003688   0.002970   0.008911      3   -0.2   \n",
+       "cgrid            0.001833   0.001833   0.001833   0.001833      1    0.0   \n",
+       "length           0.000309   0.000544   0.000456   0.001368      3    0.0   \n",
+       "build_real       0.000520   0.000520   0.000520   0.000520      1    1.7   \n",
+       "maxfactor        0.000092   0.000116   0.000098   0.000489      5    0.0   \n",
+       "prebuild_gwn     0.000245   0.000245   0.000245   0.000245      1    0.5   \n",
+       "clean_real       0.000190   0.000190   0.000190   0.000190      1    0.0   \n",
+       "\n",
+       "                                   cpu                        \n",
+       "                 max median        min        max       mean  \n",
+       "function                                                      \n",
+       "Py_kgeneration  51.1   51.1  20.691014  20.691014  20.691014  \n",
+       "generate        31.4   31.4  21.834832  21.834832  21.834832  \n",
+       "gasdev           3.7    0.0   0.000000  71.950000   1.199399  \n",
+       "fftma2          16.5   16.5  17.350988  17.350988  17.350988  \n",
+       "covariance      13.5   13.5  17.329150  17.329150  17.329150  \n",
+       "ran2             1.5    0.0   0.000000  50.050000   0.287221  \n",
+       "cov_value        1.0    0.0   0.000000  50.050000   0.237855  \n",
+       "fourt            3.7    0.5   0.025000  18.825000  12.541667  \n",
+       "cgrid            0.0    0.0   0.012500   0.012500   0.012500  \n",
+       "length           0.0    0.0   0.000000   0.012500   0.004167  \n",
+       "build_real       1.7    1.7   0.000000   0.000000   0.000000  \n",
+       "maxfactor        0.0    0.0   0.000000   0.000000   0.000000  \n",
+       "prebuild_gwn     0.5    0.5   0.000000   0.000000   0.000000  \n",
+       "clean_real       0.0    0.0   0.000000   0.000000   0.000000  "
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = analyze(['log_32-aa'])\n",
+    "overall_time[\"32\"] = df.loc[\"Py_kgeneration\"][(\"time\", \"sum\")]\n",
+    "overall_memory[\"32\"] = abs(df.loc[\"Py_kgeneration\"][(\"memory\", \"median\")])\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Comparación de tiempos"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/oli/.local/lib/python3.6/site-packages/ipykernel_launcher.py:30: MatplotlibDeprecationWarning:\n",
+      "\n",
+      "normalize=None does not normalize if the sum is less than 1 but this behavior is deprecated since 3.3 until two minor releases later. After the deprecation period the default value will be normalize=True. To prevent normalization pass normalize=False \n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 600x600 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_pie_charts(df, \"Time comparisons\", (\"time\", \"sum\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "plotlyServerURL": "https://plot.ly"
+       },
+       "data": [
+        {
+         "domain": {
+          "x": [
+           0,
+           1
+          ],
+          "y": [
+           0,
+           1
+          ]
+         },
+         "hovertemplate": "function=%{label}<br>time_sum=%{value}<br>parent=%{parent}<extra></extra>",
+         "labels": [
+          "Py_kgeneration",
+          "generate",
+          "gasdev",
+          "fftma2",
+          "covariance",
+          "ran2",
+          "cov_value",
+          "fourt",
+          "cgrid",
+          "length",
+          "build_real",
+          "maxfactor",
+          "prebuild_gwn",
+          "clean_real"
+         ],
+         "marker": {
+          "colors": [
+           "#636efa",
+           "#EF553B",
+           "#00cc96",
+           "#EF553B",
+           "#ab63fa",
+           "#FFA15A",
+           "#19d3f3",
+           "#ab63fa",
+           "#636efa",
+           "#636efa",
+           "#636efa",
+           "#636efa",
+           "#ab63fa",
+           "#636efa"
+          ]
+         },
+         "name": "",
+         "parents": [
+          "",
+          "Py_kgeneration",
+          "generate",
+          "Py_kgeneration",
+          "fftma2",
+          "gasdev",
+          "covariance",
+          "fftma2",
+          "",
+          "",
+          "",
+          "",
+          "fftma2",
+          ""
+         ],
+         "type": "treemap",
+         "values": [
+          22.050032,
+          16.448229,
+          12.227145999999571,
+          5.598813,
+          5.585673,
+          3.8779589999999446,
+          2.3919879999999014,
+          0.008911,
+          0.001833,
+          0.001368,
+          0.00052,
+          0.0004890000000000001,
+          0.000245,
+          0.00019
+         ]
+        }
+       ],
+       "layout": {
+        "autosize": true,
+        "legend": {
+         "tracegroupgap": 0
+        },
+        "template": {
+         "data": {
+          "bar": [
+           {
+            "error_x": {
+             "color": "#2a3f5f"
+            },
+            "error_y": {
+             "color": "#2a3f5f"
+            },
+            "marker": {
+             "line": {
+              "color": "#E5ECF6",
+              "width": 0.5
+             },
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
+             }
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IZLIAQZXJq8u5IYAAAggggAACCCCAgFUBgsoqL4MjgAACCCCAAAIIIIBAJgsQVJm8upwbAggggAACCCCAAAIIWBUgqKzyMjgCCCCAAAIIIIAAAghksgBBlcmry7khgAACCCCAAAIIIICAVQGCyiovgyOAAAIIIIAAAggggEAmCxBUmby6nBsCCCCAAAIIIIAAAghYFSCorPIyOAIIIIAAAggggAACCGSyAEGVyavLuSGAAAIIIIAAAggggIBVAYLKKi+DI4AAAggggAACCCCAQCYLEFSZvLqcGwIIIIAAAggggAACCFgVIKis8jI4AggggAACCCCAAAIIZLIAQZXJq8u5IYAAAggggAACCCCAgFUBgsoqL4MjgAACCCCAAAIIIIBAJgsQVJm8upwbAggggAACCCCAAAIIWBUgqKzyMjgCCCCAAAIIIIAAAghksgBBlcmry7khgAACCCCAAAIIIICAVQGCyiovgyOAAAIIIIAAAggggEAmCxBUmby6nBsCCCCAAAIIIIAAAghYFSCorPIyOAIIIIAAAggggAACCGSyAEGVyavLuSGAAAIIIIAAAggggIBVAYLKKi+DI4AAAggggAACCCCAQCYLEFSZvLqcGwIIIIAAAggggAACCFgVIKis8jI4AggggAACCCCAAAIIZLIAQZXJq8u5IYAAAggggAACCCCAgFUBgsoqL4MjgAACCCCAAAIIIIBAJgsQVJm8upwbAggggAACCCCAAAIIWBUgqKzyMjgCCCCAAAIIIIAAAghksgBBlcmry7khgAACCCCAAAIIIICAVQGCyiovgyOAAAIIIIAAAggggEAmCxBUmby6nBsCCCCAAAIIIIAAAghYFSCorPIyOAIIIIAAAggggAACCGSyAEGVyavLuSGAAAIIIIAAAggggIBVAYLKKi+DI4AAAggggAACCCCAQCYLEFSZvLqcGwIIIIAAAggggAACCFgVIKis8jI4AggggAACCCCAAAIIZLIAQZXJq8u5IYAAAggggAACCCCAgFUBgsoS75vvJdccOZWSQqHaj7a+37c0T4ZFAAEErAms78+19f2+tYkxMAIIIND4BHKaSAf1Cje+E6+HMyaoLCGboHrz3YSl0RkWAQQQQAABBBBAAAH3AqccGyGo3HOltSVBlRaX+40JKvdWbIkAAggggAACCCBgV4CgsudLUFmyJagswTIsAggggAACCCCAQNoCBFXaZK53IKhcU6W3IUGVnhdbI4AAAggggAACCNgTIKjs2RJUlmxrC6pwWHrk7pji8coDJ1PSwkUpvfJmQlOnpzzN5uBeYXXqGNJ/ng/Gd7b23j2sz8dXvrTj0n5Rff1dUl9NWOslHp4k2AkBBBBAAAEEEECgJgGCyt51QVBZsl1fUA2+Lq7lK1IygbVzj7DOPi2iq26s0MqC9CfUkILKvMjQvLirto/5/TtvjOmKayqcTXKaShVxqaLyH/kggAACCCCAAAIIWBAgqCygrhqSoLJk6zaoqg5/3T+jeuOdpI7sE9Y7Hyb17cTKOzY7bBfWMYeFdcOIVbe0apjv6kHVqmVIVw6I6NFnEpr7a0pnnxpR901DWrxEmvlTSm1aS088l1D7diGdeXJELZpLZWXSqNEJzfk5pY07h3Tu6RFNnprS5puFnN8f9cqfd88OPySsPXcNSylp2syUXnwtoXhCemBETO98kFCfAyMafG2FOnYIqe9JEeXkVMaSGWP6rJQuPj+iHbcLa8HClO55KKEzTopU36HaZcewjjo0rEhYyi+Qnn4xoT8WpnTQfmF16RRSLCa1bRNyfn/kEwktXebtjp6lJWdYBBBAAAEEEECgwQoQVPaWhqCyZJtuUN0wJOo89texfUjd/xbSyMcrH98757SI/liU0rsf1v5IXFVQPf9KQv+6LKoPPq58hK7X3mHt/vewbn8gruZ5IV11eURTZ6ScRwOvHRzVx+OS+vTLpLptElL/8yMackPcCS0Td/c9EtcP01LabeewDtw3rFvuiWvH7cM67ojK/20i7MJzI04kffRJUvfeEtO4r5LOOZg7VEMHR/XRx0l98U1Su/09rKP6hHXNzXE1y5XuGBbTBQMrb0lVPfI3c05K1/8rqpvuiGvRkpT23SusnnuEdfNdcR3Q04RWRNfdWqH8lXJCrbBYeu2/wXjE0dIlxrAIIIAAAggggIBrAYLKNVXaGxJUaZO528FtUEUikrkzc9oJEV15Y4WyYiENvyaqgddWONFy100x3XxnXIuX1n43piqosrOkPxap+udf9TsrojlzK4PHfEyIhCPSW+8ldeNVUfX/Z0X143nXDIzq5TcSKiyShgyI6pJ/VQaPuTN0ab+I/nl9/C9x12PbkHofENHt98d1z/CYE2E/za2cZ1ZMzp2rZFLOXa4R18f0f1dU1BpUsai0U4+wM4b5mLtRD90R0yVDKrTnLmFts1VIDzxaGVAH7hdW141DeuJZgsrd1chWCCCAAAIIINDYBQgqe1cAQWXJdn1BVf1SiqQ0/4+UXnw9oVlzKmNkUP+ovvwm6TzSdsJREd10Z+2P+5ntTVAd2SeiaFQyd6k++6oyoK64KKovvv7zhQ+HHxxWmzYhffJ5UlddHnW+w1X1yc4O6ZmXKh+xG3CheWyv8pidO4aq/9ncTfpbt5DKyir3M9//Mt/5uvGOyqC65e64Fi6u/D1zZ2v/nmGZYDSP6JlHCftdXntQtW4ldWi/ZiSNvD2m62+La7utQ85xH3umMqDMHavV/9nSEjIsAggggAACCCCQMQIElb2lJKgs2a4vqKpeSlHT4XvuGXbuWplH/UxUvT923W/AM0G1w7ZhvfBaQgMvjjoBZva78JyIps9Oaexnlfub7yuZwHnz3aSGDYk6d3/W/qweUGsH1VmnRjR/Qcp5pHDtjwmq4XdVPq7XqkVIw4dGNez2uPNdKfO9rtuui64zqMwdqp13COvef1eGXFaWZILK3EXba7c1A4qgsnTRMiwCCCCAAAIIZKwAQWVvaQkqS7YbElTmRQ7mETnzyJ/5DtGy5et++cLqL6U47OCwttkirDtHxtX7gLC22TKsux+Kq2XzkK4eGNGUaZXfoTLfcRrzv6S+/japvGbSqcdF9J8XE2rT+s87UmsHlXmZhHlphnnEr7RMzvecEgk5r0BfPahMlA2+JKpB11Y4j/wdd0TEmcvFgysUiUr3Do85jxSWlf/5HaoZs1NO5Jm7XSbKzPe2TFTedl/ld6i4Q2XpQmVYBBBAAAEEEGgUAgSVvWUmqCzZbkhQmSn1/0dEebkh5wUQ6/usHlTmMTzzOJ95ZNC8EKLfmVF17iTNmy/9Pj/lfIfpPy/8+Za/1i0rfxbWB2OT+vjz5BqP+K0dVOafzWOD5o6RudO1cLH05KiEVuSn1ggqs925Z0S05WYhFRVLL72R0NF9Is4jguZ8zKOIm3QJOXejjuz951v+/r5jWEebt/xFpGXLpadfSDjfHSOo1ncF8PsIIIAAAggggMC6BQgqe1cIQWXJtragcns480rz3+alNHbchv3A29V/LpR5U555WYR5Ex8fBBBAAAEEEEAAgcYjQFDZW2uCypLthgRVpw4hXX5hRNfeEldJqfcJmkf0Tjym8mdYmbC6ckDU+f7Ud5M3LNK8z4g9EUAAAQQQQAABBPwQIKjsqRNUlmy9BtXxR0a09+5h54faTpxSGT4d2oV00XmRGmdqXvrw0BM133Eyj9iddnxEO2wXcr7LNGFiqvrnRFk6bYZFAAEEEEAAAQQQaIACBJW9RSGoLNl6DSpL02FYBBBAAAEEEEAAgUYsQFDZW3yCypItQWUJlmERQAABBBBAAAEE0hYgqNImc70DQeWaKr0NCar0vNgaAQQQQAABBBBAwJ4AQWXPlqCyZEtQWYJlWAQQQAABBBBAAIG0BQiqtMlc70BQuaZKb0OCKj0vtkYAAQQQQAABBBCwJ0BQ2bMlqCzZElSWYBkWAQQQQAABBBBAIG0BgiptMtc7EFSuqdLbsKagMj9Ylw8CCCDQ2ATefDehjTuHtFOPcGM7dc63FoFUMqW3xvAzEblAEKhPAYLKnjZBZcm2tqA6pOApS0dkWAQQQKDhCRTscZKuvCPbCapBpyxSZPx7DW+SzKh+BUJhjcnpS1DVrzpHQ0AElb2LgKCyZLuuoCp9+QlLR2VYBBBAoOEIRLptrtJL7l8jqCoGndRwJshMfBFoctL5BJUv8hy0sQsQVPauAILKki1BZQmWYRFAIDACBFVglqpeJ0pQ1Ss3B0OgWoCgsncxEFSWbAkqS7AMiwACgREgqAKzVPU6UYKqXrk5GAIEVT1cAwSVJWSCyhIswyKAQGAECKrALFW9TpSgqlduDoYAQVUP1wBBZQk5U4JqckVYnSMpbRROWZJiWAQQyFSBdILqk/KIHi/OUu/suHpmJXRzYZbahFMallemL8ojzq/V1eeV0qjeL4uqIiXtEEvqgpxyNQnV1eiMsz4Bgmp9Qvw+AnYEeOTPjqsZlaCyZBuUoDIvrV3Xi4xvK8zSsU3i2iLK620tXSoMi0DGCqQTVHcUZmnbWFKHZsf1bllUUyvCGtSsXD8nwhpVEtXVzcrrxOmr8oheKI3pumZlahpK6faibG0dTeiEJvE6GZ9B1i9AUK3fiC0QsCFAUNlQrRyToLJk6yWoXi+N6r2yqFqEUjo4O6FXS6Ma2aLUmaH535+UR2X+EnX7aEJn5VQoKunsFU10etO4vqqIaGEipAOy4zpu1X8YfFcR0XMlUcUVUvtwUhfmVKhVOKX/lkb1SyKsuYmQdo4ldUrTCv2nOKZvKiIy96G2jSZ1QW653iqN6qWSmFqHU+qbU6HdY5VzqmkelhgZFgEEAizgNqjMnyuvl8aUE0ppm2hSU+Jh5+5R92hSvyfCKkqFtHkkqTNzKvRgUUw7xpKaFg+rMBVSv5xy58+0Bcmwto0mdH5OhSNm7niNLo0pkZJzp+vS3HLnTvucRFjxlLTlqr8kMvuaaLskt26CLcDLVW9TJ6jqjZoDIbCGAEFl74IgqCzZphtU8xIhXVOQrbubl6lZOKXbC7M0LxHWAy1KndAZVRLTzXllahJK6c5Vf5N7WHZc565o4sTXqU0rtCwZ0sX5TfRUyxKVpEIasDJbw/LKtUkk6cTR9HhYg5uVO3/7+0pJVMObl6l9OKUJTnjFNCKvVKbYrlyZ7dyV2jsroStWZuuCnArnDtW65mGJkWERQCDAAm6DypziiMIs7ZGV0L5ZCb1dFtWvibAuzCmXuaP0UXnEuUNlfm2w8+damRNE9xZl6ddESLfmlTl/GXReflPd17xUsZDUL7+J7m5e6vwZ9+/imPOXUf1WxdbqpLcUZmnXWFIHZXOHqr4uNYKqvqQ5DgJrChBU9q4IgsqSbbpB9UFZVBMrKoPHfD4vj+j5kpgTVCOLstQpktQxq915erM0quvzypygGppXrk0jlY/kmTtWI5qXOX97O27Vf4SYXy9Nmd9rqlGtSpzvDnxbEa5+hMb8h0hZStXfITD/8dE2nHLudK0eVOuahyVGhkUAgQAL2Aiq6wuy9ETLyjv3L5TEVJCS/rEqlC7Jb6IrmlX+eViSkpqu+l6U+bNwbHlUQ5uVraH5cmlU0yoiGppX5gQXn/oRIKjqx5mjILC2AEFl75ogqCzZphtU5pGXhcnKv5E1nxnxsO4vynKCyvwN6qx4uDp4TDqZxwJva14ZVOZOU4dVL42o+uevyyN6qTSm5qE/XyZRnJLuaV7mPB5oxr9s1SMuK1MhPVMc0+/JkPMfFYuSIed7DMevFVTrmoclRoZFAIEAC9gIqlsLs6ofhTaPJJu0OrNp5WN+l61s4jza97dI0nlceWK88huiRcmQ89jftXmVQWX+VHyyOKYFyZAG5ZYrm5qq16uMoKpXbg6GQLUAQWXvYiCoLNmmG1Tmu1NT42ENXBU55q1W5jE/E1QPFWc5j+0dXsMjKbUF1cx42HlU5p81fJHbHMv8vvkPD/Mxd6TiqZD8gsUzAAAgAElEQVQuzC13XlBhjtcunPxLUK1rHpYYGRYBBAIs4FdQLUiE9Fpp1HnkOTeU0qflEX1cFq0Oqv+UxJxHpM2fgZEA+wZ16gRVUFeOeQddgKCyt4IElSXbdINqdjzs3Im6p0WZ88Xs4YXZzksmTFCZ7zi9XFL5iJ95hOXDsqiioZR6ZSVqvUPVVHIe17upeZk6hlMy45v/qDg3p8J58cXqQXVnUZa2iCR1ZJO45ibCzve39spK6PSmFc73FcxLL3aMJdY5D0uMDIsAAgEWqIugMt/dNC/suSmvTL8lwnJzh8rc0TePUA9pVu680MJ879TcyRqeV6Yf42E9XhxzHo0mpvy5uAgqf9w5KgIElb1rgKCyZJtuUJlpPF0Sc773ZL6/ZL6Ybd4+df9qb/n7uDzqvLHKfJ/qolVv7KvtDpV5BLDqLX9lqZDzeuDzciq0VTT5l6CqerwwGpLzJq1dsxIaWRRT/9wK502Ab5bGnJdemMcAzaOJNc3DEiPDIoBAgAXqIqhWJEO6siBb5lFn82IKN0Fl/gw12xUmQ86b/U5rWqERRVk6ICuhpcmQPiuPrBFTG0eSziPUfOpHgKCqH2eOgsDaAgSVvWuCoLJk6yWozHP9VY/ym8f/ni2J6ZZVz/xbmibDIoAAAtYE0gkqa5Ng4AYnQFA1uCVhQo1EgKCyt9AElSXbdIPKvBiif34T59Xo5m9LzRv1zF2lc2p4za+lKTMsAgggUKcCBFWdcmbMYARVxiwlJxIwAYLK3oIRVJZs0w0qMw3z3SjzSJ15tMW8perC3ArlrfaWPktTZVgEEEDAigBBZYU18IMSVIFfQk4goAIElb2FI6gs2XoJKktTYVgEEEDAFwGCyhf2Bn9QgqrBLxETzFABgsrewhJUlmwJKkuwDIsAAoERIKgCs1T1OlGCql65ORgC1QIElb2LgaCyZEtQWYJlWAQQCIwAQRWYparXiRJU9crNwRAgqOrhGiCoLCETVJZgGRYBBAIjQFAFZqnqdaIEVb1yczAECKp6uAYIKkvIBJUlWIZFAIHACBBUgVmqep0oQVWv3BwMAYKqHq4BgsoSMkFlCZZhEUAgMAIEVWCWql4nSlDVKzcHQ4CgqodrgKCyhJxOUDU58VxLs2DYxi5Q+vqzUkV5Y2fg/H0ScBNUZpvYrj19mmHDPWx8+mTFp0xouBPcgJkRVBuAx64IbIAAL6XYALz17EpQWbJNN6hu26eHUkoppNBf/v+6prj2Pm5Op2ofN9vWtM2G7l/bcb2ci9dzaAz7Xd1uBxWe2ZugagyL3UDP0W1Qhfrfr18n5qx1FqlV/xyq4dfX/rXVNzH71fb7Nf1ebcfxD7VD9yJljR5KUPm3BBwZgYwUIKjsLStBZcnWS1BdP/8bS7Nh2MYoULHj+QRVY1z4BnTO6QTVe8OyG9DM/Z3KAVeUElT+LgFHRyAjBQgqe8tKUFmyJagswTKsawGCyjUVG1oSIKi8wRJU3tzYCwEE1i1AUNm7QggqS7YElSVYhnUtQFC5pmJDSwIElTdYgsqbG3shgABB5dc1QFBZkieoLMEyrGsBgso1FRtaEiCovMESVN7c2AsBBAgqv64BgsqSfFCCqtf1b+nLyw9SWYumliQY1i8BgsoveY5bJUBQebsWCCpvbuyFAAIElV/XAEFlSZ6gsgTLsK4FCCrXVGxoSSCIQTVl5esqTRZo15Z9Lamsf1iCav1GbIEAAukL8B2q9M3c7kFQuZVKc7u6DKpuH89Qly9/UnmzbM3bfVNtOnaGxv2rj5SStnh7str+uEChVErL/9ZWPx6/s1LhkLp+Okudx//s/Hp5XhP9cPIuKmmdq41mLtSWb0ySwiEt2HFjdR03S18OqLxD1Wb6H+r+3g8KJ1IqaZ2jH0/4uxLRiPa9+R2Nu7KPynMr38K15VuTnF+ffeh2aaqweX0KEFT1qc2xahIIWlCllFRIYd8Xk6DyfQmYAAIZKUBQ2VtWgsqSbV0FVe6iAu3y8CfOY3nxnCz1ePor5S4p0OeDe6vttAXq/u5Ujb90f+fnruz24Fj93GtLLeveTnvdMUbjhhyqRHZUnb79ReHyhBNj+9z6rhNKS7dory5f/eTE1bghfZwI2+uuDzThgv1U2L65un42Sy3mLtXkvntopyc+18IeXTR/l66O1j63vadJZ+yhgs4tLekxbF0IEFR1ocgYGyJQF0E1r/R7fbPiWWcasVATHdBmsJpGWmryytf0U/E4xcJNnZ/f17N1f+XH5+vr5U/puI73OttXpEr07O9n6tTOj+vX4q81tfBtRUPZSqTKtXfri9Q2q7u+z39RKyp+d/bdLu8oFcYXqiS5Unu2Ol8zCz+scZ+JK1/W8orfnLFKE/kqTizXoe1uUFY4R7XNd2rBf535RkIxZ249W1+svGiHGnkJqg256tgXAQRqEyCo7F0bBJUl27oKKnOXydxVMmFjPu0n/a7u7091gsrcoYpUxJXIijq/t/Wr36u0VY5+2ae79h3+jmb32U4Lt++sipws5/dzFxdo1wc/1sfXH+n8czie0AHXvKHPrjxUrecsVoeJv+n7c/d2fi9SHpf5ftX/bjpGHb/9RW2n/6FJffdQ3rwV6jFqfOXx+TRoAYKqQS9Po5jchgZVPFWu5+edq2M63Km8aHtNXvmqwqGI2mZtqbFL7tCJnUYqEsqSiZXfS7/TIW2H6rnfz9KRHW5Vi2gnzSz6n+YWf6lD2l7tBNimOXs6EfNT8WeaXviBDms3TJNWjtaMwg90QscHFA5FNTH/peqgWtc+s4rG6viO9zl3tD5YfLO65eypTXP2qXG+HbK31bhlI3V0hzud+Jtd9InmFH+i3m2vJagaxb8JnCQCDUOAoLK3DgSVJdu6CirzeF/TZUXOo3zm0+KXpdrupQlO0GQVlWnzd35Q7qKVSimkpsuL9Ntem+nnA7ZS3vwV6jZ2hjaavUgrO7fStON2UlZBqbZ/4ZvKxwVXffYf+oa+GHSIOkz6XX/7cJoqcivjy3yipRX64oqDlYqEtfeIMfr0msOcxw2VTGlO720tyTFsXQkQVHUlyTheBTY0qJaW/6QPFg/XKZ0fW2MKJqzMHaL9NrrM+fUVFb/prYVD1LfLcxq//EnFwk20c4tT9c6iodo270h1bbqbfi7+XDMLP3LuEJnvSJUnC3Vcx/ucoDJ3qKrGWj2o1rXPyvgC566Y+ZhYahHrrE7Z29c43ykFb2hS/itqHuvkbJ9KJWQeLzymw10EldeLi/0QQCBtAYIqbTLXOxBUrqnS27CugmrjL39Sq58Wa/LpuzsTaD/5d3UfU3mHytyRCieS1d+b2mb0dyppleMEVdUnlEjqbx9NV7MF+c53nnYd+ecdKnMXav9r36y8Q/XTYrWbMk+TztyzxhPd+bFx+nWf7ur+7g+aesquKujYIj0Qtq53AYKq3sk54FoCdRFU7y++2Xlkb/XP2kFl4uq/C69U3y7POqFl7hgd2f5WjV5wqU7v8pSKE8v00vwLdVKnh5Ub2Ui/lnyjCSueqQ6qgvhC7dP6IucQVUHVo/kxrvdxgiraSZ2a9FBN8/2h4A0tLput/dsMdHWN8MifKyY2QgCBNAUIqjTB0ticoEoDK51N6yqomv++XDs++YW+HHiw4tlR7fTkF86dKBNUPZ4dr/yurfVLz82VtyBfPZ75ynnEb/G2ndT1k5n64dRdlYxG1PG7X50QM4/s9Rz+rqaevIvzHSrz4grzEgpzx8rchdrj7g814cL9VNymmcxxzX4zjtrBOW3z6GGbmQuVu3Clc0eLT8MXIKga/hpl+gw3NKjMI3+j5p2tI9vfolaxrs6jfeb7SuaO0/+W3F79yJ+5A7Sw9Ecd1PZKh/TVBQPUIXtr527U7q3O1ZLyOU7onNb5CaWUch4XXFr+s7O/uUNVU1Btnru/632qgmrrvMNqnO+mOXvp3UXXOkGXHc5zvmdVEF+krZrV/Og0QZXp/2Zwfgj4I0BQ2XMnqCzZ1lVQmel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+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_treemap(df, (\"time\", \"sum\"), \"time_sum\", \"Time treemap\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Comparación de memoria"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/oli/.local/lib/python3.6/site-packages/ipykernel_launcher.py:13: RuntimeWarning:\n",
+      "\n",
+      "invalid value encountered in double_scalars\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 600x600 with 4 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_pie_charts(df, \"Memory comparisons\", (\"memory\", \"median\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "plotlyServerURL": "https://plot.ly"
+       },
+       "data": [
+        {
+         "domain": {
+          "x": [
+           0,
+           1
+          ],
+          "y": [
+           0,
+           1
+          ]
+         },
+         "hovertemplate": "function=%{label}<br>memory_median=%{value}<br>parent=%{parent}<extra></extra>",
+         "labels": [
+          "Py_kgeneration",
+          "generate",
+          "gasdev",
+          "fftma2",
+          "covariance",
+          "ran2",
+          "cov_value",
+          "fourt",
+          "cgrid",
+          "length",
+          "build_real",
+          "maxfactor",
+          "prebuild_gwn",
+          "clean_real"
+         ],
+         "marker": {
+          "colors": [
+           "#636efa",
+           "#EF553B",
+           "#00cc96",
+           "#EF553B",
+           "#ab63fa",
+           "#FFA15A",
+           "#19d3f3",
+           "#ab63fa",
+           "#636efa",
+           "#636efa",
+           "#636efa",
+           "#636efa",
+           "#ab63fa",
+           "#636efa"
+          ]
+         },
+         "name": "",
+         "parents": [
+          "",
+          "Py_kgeneration",
+          "generate",
+          "Py_kgeneration",
+          "fftma2",
+          "gasdev",
+          "covariance",
+          "fftma2",
+          "",
+          "",
+          "",
+          "",
+          "fftma2",
+          ""
+         ],
+         "type": "treemap",
+         "values": [
+          51.1,
+          31.4,
+          0,
+          16.5,
+          13.5,
+          0,
+          0,
+          0.5,
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yBJWnNWguqIrdnXml+difCnrxtQX7gbdNfy6UeVOeeVmEeRMfHwQQQAABBBBAAIHkCxBU0a8hQeVpDRYkqBbrntIpfTM6/9I6zaxyP0DziN4+u9f/DCsTVmf1z9rvT33w8YJFmvsRMRIBBBBAAAEEEEAgTAGCKkxNt7kIKje3wFGuQbXXrhltumHa/lDbDz+pD5/ui6Z0/JGZee7TvPThxtvnfcfJPGJ34F4Zrblayn6X6b0PC40/JyrwBNgAAQQQQAABBBBAIPYCBFX0S0RQeVoD16DydDhMiwACCCCAAAIIIPAXFCCool9UgsrTGhBUnmCZFgEEEEAAAQQQQKBRgKCK/mIgqDytAUHlCZZpEUAAAQQQQAABBAiqGF0DBJWnxSCoPMEyLQIIIIAAAggggABBFaNrgKDytBgElSdYpkUAAQQQQAABBBAgqGJ0DRBUnhaDoPIEy7QIIIAAAggggAACBFWMrgGCytNizCuozA/W5YPAX0lg/ISC3vkgr9690rI/7KxQ8PP//0poxZxLc47FjGWbBRJ4fAw/+HyBABmMAAKtLsBLKVqdfK4dElSe1qC5oNp+2p2e9si0CLSuQO0SK+u+LzewQXXSodVa8dsHW/cA2BsCIQtU99xfA4aUhTwr0yGAAAJ+BQgqv77FzE5QFaPksM38gqpq1O0OMzIEgXgJZE4ZOltQLf/qUNW88Xy8DpKjQaBIgXT3JVQ493aCqkgvNkMAgfgIEFTRrwVB5WkNCCpPsEwbGwGCKjZLwYGEIEBQhYDIFAggEIkAQRUJ+2w7Jag8rQFB5QmWaWMjQFDFZik4kBAECKoQEJkCAQQiESCoImEnqFqDnaBqDWX2EaUAQRWlPvsOW4CgCluU+RBAoLUECKrWkm5+P9yh8rQGf5Wg+rg2rcUzBXVJFzxJMW1SBYoNqtqCdP70Ck3IpTS8Q7VGVWX1ak1WJ7arUYUKoV5fP+ZSunlGub7PpdUpXdChbWq1XhlzcgR2AAAgAElEQVRvbUvqNdaax01QtaY2+0IAgTAFCKowNd3mIqjc3AJHJSWo8pLS8zmby6eXa4/KOq2YNVvyQeBPgWKD6odcWoOmlevmTlX2WuszuVIXta/RUpm8wr6+Bkyt0DYVOe1YUaePajMa9ke5bu04UxUpVg6B+QsQVFwhCCCQVAGCKvqVI6g8rYFLUD1aldVT1Vl1TBW0XUVOD1dldUPHKnuE5j+/XJOV+Xvh6tmcDmtbq6ykwydX6qA2dXqrNmPvAGxdUac9K+vsmA9qM7pnZlZ1SqlbOq++bWu1cLqgJ6qy+r9cWt/nUlqnLK/929RqxIwyvVubkbkPtWo2r+Pa1ehfVVk9OLNMndMFHdK2VhuW1R/TvI7DEyPTxligmKD6o5DSGVMr9Gs+pR6ZvLqmC/qwNqMemYJWzOT1ek2m8foy23xXl5a5en/Ipey221fk9FR1Rj/n0tq3Ta22KM/Za3Re16uherE6q60q6tTwE98Om1ypKzpUqxt3WGN8JcXj0AiqeKwDR4EAAi0XIKhabhb2CIIqbNFZ87U0qH7KpXTutApd1aFaC6ULGjq9XD/l0rq+Y5UNnXtnlmlI+2pVpgoaNr1cq5bltVNFnY6YXGnj64A2tfotn9IJUyp1Z6eZmllIqf/UCg2adSfAxNHndWmdtlCNxlRnNXpmVpfM+ovmeza8ynRF+yqZYjtraoW9K7VpeU6nTq3QcW1r7R2q+R2HJ0amjbFAMUFlDt88fnfl9HJ7LZuPiRzz6J95jLTp9WX+McEEu/kz0CZV0PFTKrVmmfmHgBr9ty6tm2aU65oOVZrf9dqU6+u6tK78o1w3dqyy/xDBB4H5CRBUXB8IIJBUAYIq+pUjqDytQUuD6tnqrD6srQ8e8zH/cn/fzDL7l9Ab/ijXYpm8dm9y5+nxqqwubF9tg+q89jVaNlP/SJ65Y2X+Rf5/dWm9VpPRObPmqyqY32ujexeeqWeqs3q/Nt34e+Zf/KsLUuWsv3XeNKNMi6QL9k5X07/wzu84PDEybYwFfATVZ3VpDWhX/2fgvGkV9tG9Tcpz9h8L+k+t1F2dZto7VM1drw1cv+RTGjy9Qke1qdEaZTyuGuPLKDaHRlDFZik4EAQQaKEAQdVCMA+bE1QeUM2ULQ0q8y/zE/Jp+6/x5vNFXVrX/VH/r/qXTi/XV3XpxuAxfz00jwVe3qE+qMydpu6zHmlq+O/v1GT0YFWZOqT+fJnEjIJ0dYdq+3igmf/kWX9xnVpIaeSMMv2YT9l/yTd/GTV/kd1rjqCa33F4YmTaGAv4CKpv6tI6YdZ1ecG0CvWurNO6ZTlNzqfUb2ql7u40U/O7Xg2XeZzV3OHt07bWjuWDQDECBFUxSmyDAAJxFCCool8VgsrTGrQ0qMzjTk3/df6NmvrH/ExQ3Tij3H6Bf+eK+u9GNf00F1Rf1qX1Vk1Gp8+6Q9V0jNmX+f2TZv3F1dyRqiuk1LddjX1pgNnfoun8XEE1v+PwxMi0MRaIKqjmd71OyKd08bQK9WtXo7/zIpUYXz3xOzSCKn5rwhEhgEBxAgRVcU4+tyKoPOm2NKjM9z3MHaCrO1arbaqgS2a9ZtoElfnOyKiZ9Y/4tUlJz1VnlU0VtGV5rtk7VG0k+7je4A7V6pEuyMz/Sk1GR7SttS++aBpU5k1o5gUBu1bW2e+7mH/dN49ZHdSmVqdNrbAvvVirLDff4/DEyLQxFggjqJpeX+a6LOYO1fyu1wunVWj7WY8JxpiOQ4uhAEEVw0XhkBBAoCgBgqooJq8bEVSeeFsaVOYw7ppZZr/3ZL6/ZN5mZt7Gd12Tt/y9VJNVriD7farjZ72xr7k7VOYRwIa3/FUXUvZL/ke2rbX/aj9nUDU8XphNSStk8lq/PKcb/ihTv3a19k2Aj1eV2ZdemMcAzaOJ8zoOT4xMG2OBMIJqdFW28foyj5sWE1TNXa+HtKnTP2eUqWwOs/4L1WgDHv2L8ZUUj0MjqOKxDhwFAgi0XICgarlZ2CMIqrBFZ83nElTm204NbyMzj//dPbNMl7av9nSETIvAggkUG1QLthdGI9A6AgRV6zizFwQQCF+AoArftKUzElQtFSty+5YGlfmifb8plfbV6Etm8vbNfuaukvliPR8E4ihAUMVxVTgmVwGCylWOcQggELUAQRX1CkgElac1aGlQmcMw340yj9SZt/j9LZNX33a1at/kLX2eDpVpEXASIKic2BgUUwGCKqYLw2EhgECgAEEVSOR9A4LKE7FLUHk6FKZFwIsAQeWFlUkjEiCoIoJntwggsMACBNUCEy7wBATVAhPOewKCyhMs08ZGgKCKzVJwICEIEFQhIDIFAghEIkBQRcI+204JKk9rQFB5gmXa2AgQVLFZCg4kBAGCKgREpkAAgUgECKpI2Amq1mAnqFpDmX1EKUBQRanPvsMWIKjCFmU+BBBoLQGCqrWkm98Pd6g8rQFB5QmWaWMjQFDFZik4kBAECKoQEJkCAQQiESCoImHnDlVrsBNUraHMPqIUIKii1GffYQsQVGGLMh8CCLSWAEHVWtLcoWp1aYKq1cnZYSsLFBNUlfsc0cpHlazdVY26Xdk11ld2pdUbD7z2rReVG/udcpIyyTqdRB8tQZXo5ePgEShpAYIq+uXnkT9Pa0BQeYJl2tgIFBNUFf2H6rtJG85xzAVJqVY6j9bcV8tOadllv1D1xUfboKrZY5DGf9NOy6w7U+9f1EdTfpmgFbJ5dUub4+fTGgIEVWsosw8EEPAhQFD5UG3ZnARVy7yK3pqgKpqKDRMqUGxQffzpBhr7jvlx1XwaBLqtktJ62301W1C9cFWldrqoRrnhx9k7VHxaV4Cgal1v9oYAAuEJEFThWbrORFC5ygWMI6g8wTJtbAQIKvelIKjc7XyNJKh8yTIvAgj4FiCofAsHz09QBRs5bUFQObExKEECBJX7YhFU7na+RhJUvmSZFwEEfAsQVL6Fg+cnqIKNnLYgqJzYGJQgAYLKfbEIKnc7XyMJKl+yzIsAAr4FCCrfwsHzE1TBRk5bEFRObAxKkEBSg+q2H/bU/ovfrHaZrpFpE1SR0Te7Y4IqfmvCESGAQHECBFVxTj63Iqg86RJUnmCZNjYCSQuqggpKKaWZucmqzHS0/zmqD0EVlXzz+yWo4rcmHBECCBQnQFAV5+RzK4LKky5B5QmWaWMjsOBBVdC7k+/WV3+8oILyWr39blqjw54y4fPe5JH6Zsar9lwXLV9Rm3U+QeOrP9Xbv9+pfRa7odFg9M8naMNOR2iRihX04qRhmlw71o5fo8PuWq39bna728fupbU77KcPp47SIUuM1IixB866Q9VFb/x+i76f8ZakvHpUrqGeXU5WWhk9PfFiLVK+vCZUf67pdRPVoayHtl/kHKWU1u+1/6eXf72m/tezPbRV11PVPttdU2p/0su/XauZud9VlqrUpp37qlvFyvNcL4IqNpdx44EQVPFbE44IAQSKEyCoinPyuRVB5UmXoPIEy7SxEVjQoPp2xuv6aOpo7drtcuUK1Ro17nhtt8g5mlY3wf76bt2HKpuq0POThmqhTFet3+lQjfjxAO3d4zobMNPqxuuhn0/WoUvco7cn36Ga/B/q2aW/Hf/AuGN1wOK3qV2mi+4cu5/+vtD22mhh80OGU2p45G9SzTd6+/c7tFePa+2vPzK+v9bqsK+Wb9dTz04copn5qdpl0SFKpdL22DbpfKyWqFxLo8adoPU6Haxl226iD6eO1riqj7TTohfroZ9P1Crtd9bKC/XSxJov9fQvF+vAxe9QOpWda80IqthcxgRV/JaCI0IAgRYKEFQtBPOwOUHlAdVMSVB5gmXa2AgsaFC99OtV6ly2jNbosIc9p5r8DJWlK/XipOHqUr6s1uywl/31sTPft8G0d4/r9cKkK+3dKHM36+Opj+j32h/sXaW8csoXcsqmyu2Y+8cdra26nGrvEI0Yu796LXqhulX83f7en9+h6qLaQpXKUm3sr7/yqwm1RbV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+     "metadata": {},
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+   "source": [
+    "plot_treemap(df, (\"memory\", \"median\"), \"memory_median\", \"Memory treemap\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Análisis de la CPU"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
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+      ]
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+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_treemap(df, (\"cpu\", \"mean\"), \"cpu_mean\", \"CPU treemap\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## N = 64"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Armado del dataset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Executing file log_64-aa\n",
+      "Executing file log_64-ab\n",
+      "[21.502423, 38.151106, 16.773406, 21.064163, 29.865098, 14.264737, 12.91298, 23.850997]\n"
+     ]
+    },
+    {
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+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th colspan=\"3\" halign=\"left\">memory</th>\n",
+       "      <th colspan=\"5\" halign=\"left\">time</th>\n",
+       "      <th colspan=\"3\" halign=\"left\">cpu</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th>min</th>\n",
+       "      <th>max</th>\n",
+       "      <th>median</th>\n",
+       "      <th>min</th>\n",
+       "      <th>max</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>sum</th>\n",
+       "      <th>count</th>\n",
+       "      <th>min</th>\n",
+       "      <th>max</th>\n",
+       "      <th>mean</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>function</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Py_kgeneration</th>\n",
+       "      <td>101.9</td>\n",
+       "      <td>101.9</td>\n",
+       "      <td>101.9</td>\n",
+       "      <td>187.522037</td>\n",
+       "      <td>187.522037</td>\n",
+       "      <td>187.522037</td>\n",
+       "      <td>187.522037</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>22.304077</td>\n",
+       "      <td>22.304077</td>\n",
+       "      <td>22.304077</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>generate</th>\n",
+       "      <td>130.7</td>\n",
+       "      <td>130.7</td>\n",
+       "      <td>130.7</td>\n",
+       "      <td>147.209599</td>\n",
+       "      <td>147.209599</td>\n",
+       "      <td>147.209599</td>\n",
+       "      <td>147.209599</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>22.298114</td>\n",
+       "      <td>22.298114</td>\n",
+       "      <td>22.298114</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>fftma2</th>\n",
+       "      <td>-23.5</td>\n",
+       "      <td>-23.5</td>\n",
+       "      <td>-23.5</td>\n",
+       "      <td>40.309987</td>\n",
+       "      <td>40.309987</td>\n",
+       "      <td>40.309987</td>\n",
+       "      <td>40.309987</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>22.327810</td>\n",
+       "      <td>22.327810</td>\n",
+       "      <td>22.327810</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>covariance</th>\n",
+       "      <td>-27.7</td>\n",
+       "      <td>-27.7</td>\n",
+       "      <td>-27.7</td>\n",
+       "      <td>40.197321</td>\n",
+       "      <td>40.197321</td>\n",
+       "      <td>40.197321</td>\n",
+       "      <td>40.197321</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>22.350181</td>\n",
+       "      <td>22.350181</td>\n",
+       "      <td>22.350181</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>gasdev</th>\n",
+       "      <td>-17.5</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000082</td>\n",
+       "      <td>0.024481</td>\n",
+       "      <td>0.000432</td>\n",
+       "      <td>109.614138</td>\n",
+       "      <td>262144.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>75.075000</td>\n",
+       "      <td>1.426999</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>fourt</th>\n",
+       "      <td>-2.8</td>\n",
+       "      <td>1.7</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.026273</td>\n",
+       "      <td>0.050759</td>\n",
+       "      <td>0.034596</td>\n",
+       "      <td>0.103787</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1.885714</td>\n",
+       "      <td>19.458974</td>\n",
+       "      <td>9.624075</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>cov_value</th>\n",
+       "      <td>-7.9</td>\n",
+       "      <td>2.4</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000097</td>\n",
+       "      <td>0.000322</td>\n",
+       "      <td>0.000110</td>\n",
+       "      <td>17.194905</td>\n",
+       "      <td>156816.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>62.562500</td>\n",
+       "      <td>0.351814</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ran2</th>\n",
+       "      <td>-9.9</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000080</td>\n",
+       "      <td>0.002500</td>\n",
+       "      <td>0.000108</td>\n",
+       "      <td>34.852101</td>\n",
+       "      <td>333450.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>62.562500</td>\n",
+       "      <td>0.350892</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>build_real</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.003251</td>\n",
+       "      <td>0.003251</td>\n",
+       "      <td>0.003251</td>\n",
+       "      <td>0.003251</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.037500</td>\n",
+       "      <td>0.037500</td>\n",
+       "      <td>0.037500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>prebuild_gwn</th>\n",
+       "      <td>2.5</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>0.001102</td>\n",
+       "      <td>0.001102</td>\n",
+       "      <td>0.001102</td>\n",
+       "      <td>0.001102</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.025000</td>\n",
+       "      <td>0.025000</td>\n",
+       "      <td>0.025000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>clean_real</th>\n",
+       "      <td>0.9</td>\n",
+       "      <td>0.9</td>\n",
+       "      <td>0.9</td>\n",
+       "      <td>0.000842</td>\n",
+       "      <td>0.000842</td>\n",
+       "      <td>0.000842</td>\n",
+       "      <td>0.000842</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>8.345833</td>\n",
+       "      <td>8.345833</td>\n",
+       "      <td>8.345833</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>cgrid</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.001988</td>\n",
+       "      <td>0.001988</td>\n",
+       "      <td>0.001988</td>\n",
+       "      <td>0.001988</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.012500</td>\n",
+       "      <td>0.012500</td>\n",
+       "      <td>0.012500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>length</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000358</td>\n",
+       "      <td>0.000641</td>\n",
+       "      <td>0.000455</td>\n",
+       "      <td>0.001365</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>maxfactor</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000105</td>\n",
+       "      <td>0.000110</td>\n",
+       "      <td>0.000107</td>\n",
+       "      <td>0.000427</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               memory                      time                          \\\n",
+       "                  min    max median         min         max        mean   \n",
+       "function                                                                  \n",
+       "Py_kgeneration  101.9  101.9  101.9  187.522037  187.522037  187.522037   \n",
+       "generate        130.7  130.7  130.7  147.209599  147.209599  147.209599   \n",
+       "fftma2          -23.5  -23.5  -23.5   40.309987   40.309987   40.309987   \n",
+       "covariance      -27.7  -27.7  -27.7   40.197321   40.197321   40.197321   \n",
+       "gasdev          -17.5    4.0    0.0    0.000082    0.024481    0.000432   \n",
+       "fourt            -2.8    1.7    0.0    0.026273    0.050759    0.034596   \n",
+       "cov_value        -7.9    2.4    0.0    0.000097    0.000322    0.000110   \n",
+       "ran2             -9.9    2.2    0.0    0.000080    0.002500    0.000108   \n",
+       "build_real        0.0    0.0    0.0    0.003251    0.003251    0.003251   \n",
+       "prebuild_gwn      2.5    2.5    2.5    0.001102    0.001102    0.001102   \n",
+       "clean_real        0.9    0.9    0.9    0.000842    0.000842    0.000842   \n",
+       "cgrid             0.0    0.0    0.0    0.001988    0.001988    0.001988   \n",
+       "length            0.0    0.0    0.0    0.000358    0.000641    0.000455   \n",
+       "maxfactor         0.0    0.0    0.0    0.000105    0.000110    0.000107   \n",
+       "\n",
+       "                                            cpu                        \n",
+       "                       sum     count        min        max       mean  \n",
+       "function                                                               \n",
+       "Py_kgeneration  187.522037       1.0  22.304077  22.304077  22.304077  \n",
+       "generate        147.209599       1.0  22.298114  22.298114  22.298114  \n",
+       "fftma2           40.309987       1.0  22.327810  22.327810  22.327810  \n",
+       "covariance       40.197321       1.0  22.350181  22.350181  22.350181  \n",
+       "gasdev          109.614138  262144.0   0.000000  75.075000   1.426999  \n",
+       "fourt             0.103787       3.0   1.885714  19.458974   9.624075  \n",
+       "cov_value        17.194905  156816.0   0.000000  62.562500   0.351814  \n",
+       "ran2             34.852101  333450.0   0.000000  62.562500   0.350892  \n",
+       "build_real        0.003251       1.0   0.037500   0.037500   0.037500  \n",
+       "prebuild_gwn      0.001102       1.0   0.025000   0.025000   0.025000  \n",
+       "clean_real        0.000842       1.0   8.345833   8.345833   8.345833  \n",
+       "cgrid             0.001988       1.0   0.012500   0.012500   0.012500  \n",
+       "length            0.001365       3.0   0.000000   0.000000   0.000000  \n",
+       "maxfactor         0.000427       4.0   0.000000   0.000000   0.000000  "
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = analyze(['log_64-aa', 'log_64-ab'])\n",
+    "overall_time[\"64\"] = df.loc[\"Py_kgeneration\"][(\"time\", \"sum\")]\n",
+    "overall_memory[\"64\"] = abs(df.loc[\"Py_kgeneration\"][(\"memory\", \"median\")])\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Comparación de tiempos"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 600x600 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_pie_charts(df, \"Time comparisons\", (\"time\", \"sum\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "plotlyServerURL": "https://plot.ly"
+       },
+       "data": [
+        {
+         "domain": {
+          "x": [
+           0,
+           1
+          ],
+          "y": [
+           0,
+           1
+          ]
+         },
+         "hovertemplate": "function=%{label}<br>time_sum=%{value}<br>parent=%{parent}<extra></extra>",
+         "labels": [
+          "Py_kgeneration",
+          "generate",
+          "fftma2",
+          "covariance",
+          "gasdev",
+          "fourt",
+          "cov_value",
+          "ran2",
+          "build_real",
+          "prebuild_gwn",
+          "clean_real",
+          "cgrid",
+          "length",
+          "maxfactor"
+         ],
+         "marker": {
+          "colors": [
+           "#636efa",
+           "#EF553B",
+           "#EF553B",
+           "#00cc96",
+           "#ab63fa",
+           "#00cc96",
+           "#FFA15A",
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BBBBAAAEEEEAAAQT8LEBQ+Xl1OTYEEEAAAQQQQAABBBAwFSCoTHkZjgACCCCAAAIIIIAAAn4WIKj8vLocGwIIIIAAAggggAACCJgKEFSmvAxHAAEEEEAAAQQQQAABPwsQVH5eXY4NAQQQQAABBBBAAAEETAUIKlNehiOAAAIIIIAAAggggICfBQgqP68ux4YAAggggAACCCCAAAKmAgSVKS/DEUAAAQQQQAABBBBAwM8CBJWfV5djQwABBBBAAAEEEEAAAVMBgsqUl+EIIIAAAggggAACCCDgZwGCys+ry7EhgAACCCCAAAIIIICAqQBBZcrLcAQQQAABBBBAAAEEEPCzAEHl59Xl2BBAAAEEEEAAAQQQQMBUgKAy5WU4AggggAACCCCAAAII+FmAoPLz6nJsCCCAAAIIIIAAAgggYCpAUJnyMhwBBBBAAAEEEEAAAQT8LEBQ+Xl1OTYEEEAAAQQQQAABBBAwFSCoTHkZjgACCCCAAAIIIIAAAn4WIKj8vLocGwIIIIAAAggggAACCJgKEFSmvAxHAAEEEEAAAQQQQAABPwsQVH5eXY4NAQQQQAABBBBAAAEETAUIKlNehiOAAAIIIIAAAggggICfBQgqP68ux4YAAggggAACCCCAAAKmAgSVKS/DEUAAAQQQQAABBBBAwM8CBJWfV5djQwABBBBAAAEEEEAAAVMBgsqUl+EIIIAAAggggAACCCDgZwGCys+ry7EhgAACCCCAAAIIIICAqQBBZcrLcAQQQAABBBBAAAEEEPCzAEHl59Xl2BBAAAEEEEAAAQQQQMBUgKAy5WU4AggggAACCCCAAAII+FmAoPLz6nJsCCCAAAIIIIAAAgggYCpAUJnyMhwBBBBAAAEEEEAAAQT8LEBQ+Xl1OTYEEEAAAQQQQAABBBAwFSCoTHkZjgACCCCAAAIIIIAAAn4WIKj8vLocGwIIIIAAAggggAACCJgKEFSmvAxHAAEEEEAAAQQQQAABPwsQVH5eXY4NAQQQQAABBBBAAAEETAUIKiPeYW+npHRaCoWqPyHbf87lPbl8RibHn+3cuttnMr+xx5rpZ2Sy3fKONZP3ZrpNJp6Zzlredpl+xqo83sYeY933N8XjWNm/DzL9vEzOjWy3WXYts31/Jtt7eb4wCwEEEAigQDgkHbhPOIBHbn/IBJWRsRNUw95KGk1nLAIIIIAAAggggAACmQscun+EoMqcK6stCaqsuDLfmKDK3IotEUAAAQQQQAABBGwFCCo7X4LKyJagMoJlLAIIIIAAAggggEDWAgRV1mQZv4Ggypgquw0Jquy82BoBBBBAAAEEEEDAToCgsrMlqIxslxdU4bD0n7tiSiSqPziVlmbOSuuFYUn98GM6p73pvXtYXbuE9PjTzeM7WzttF9Yno1PusZ57RlRfjEnp86+q/50XAggggAACCCCAgPcCBJX3pjUTCSoj24aCasA1Cc1fkJYTWFv2DOuUPhFdfkNcC0uz36GmFFTOQw2dB3Yt7+X8/I4bYrrgyri7SYtCKZ6Q4tX/ygsBBBBAAAEEEEDAQICgMkBdMpKgMrLNNKhqPv6ai6N69c2UDto3rDffS+nrsdVXbDbfNKxD9w/ruoFLLmnVs791g6ptcUiX9Y/o4SeT+m1KWqccF9F6a4c0e4406Ze0OrSThvwvqU6rhXTSMRG1aS1VVkpPvZjU5F/TWr1bSH2Pj+jbH9LqsW7I/flTL/x19eyAvcPaYZuwlJYmTErr2ZeTSiSl+wfG9ObwpPbdM6IBV8fVpXNIJx4dUYsW1bHkzPjxp7TOOj2iXpuG9efMtO5+IKkTjo7UXqHauldYB+8XViQslZRKTzyb1IyZae21W1jdu4YUi0kdO4Tcnw8ektTcebld0TNacsYigAACCCCAAAJNVoCgslsagsrINtuguu7SqHvbX5dOIa23TkiDH62+fe/UPhHNmJXWW+8t/5a4mqB6+oWkLjkvquEfVN9Ct/tOYW23VViD7k+odVFIl58f0Q8T0+6tgVcPiOqDj1Ma9VlKa60R0tmnR3TpdQk3tJy4u/c/CX0/Ia1ttwxrz13DuuXuhHptFtbhB1b/sxNh/fpG3Ega8WFK99wS08efp9xjcK5QXTUgqhEfpPTplyltu1VYB+8b1pU3JdSqpXT79TGdeWH1JamaW/4mTU7r2kuiuvH2hGbNSWvXHcPaZfuwbrozoT12cUIromtujatkodxQW7RYevn15nGLo9EpxlgEEEAAAQQQQCBjAYIqY6qsNySosibL7A2ZBlUkIjlXZvocGdFlN8SVFwvp5iujuvDquBstd94Y0013JDR77vKvxtQEVX6eNGOWav/+qzNOjmjyb9XB47ycEAlHpNfeTumGy6M6++J47e15V14Y1fOvJrWoTLq0f1TnXFIdPM6VoXPPiOjiaxN/i7uem4S0zx4RDbovobtvjrkR9stv1fuZF5N75SqVknuVa+C1Mf3fBfHlBlUsKm3RM+zOcF7O1agHbo/pnEvj2mHrsDbeMKT7H64OqD13C2vN1UMa8l+CKrOzka0QQAABBBBAIOgCBJXdGUBQGdk2FFS1D6VISdNnpPXsK0n9NLk6Ri46O6rPvky5t7QdeXBEN96x/Nv9nO2doDpo34iiUcm5SvXR59UBdcG/ovr0i78e+HBA77A6dAjpw09Suvz8qPsdrppXfn5ITz5XfYtd/37ObXvVn9mtS6j2352rSeusFVJlZfX7nO9/Od/5uuH26qC65a6EZs6u/plzZesfu4TlBKNzi55zK+EZ5y8/qNq1lTp3WjqSBg+K6drbEtp0o5D7uY88WR1QzhWruv9utISMRQABBBBAAAEEfCNAUNktJUFlZNtQUNU8lKK+j99lh7B71cq51c+JqndHrvgJeE5Qbb5JWM+8nNSFZ0XdAHPe1+/UiH78Oa2RH1W/3/m+khM4w95K6fpLo+7Vn2VfdQNq2aA6+biIpv+Zdm8pXPblBNXNd1bfrte2TUg3XxXV9YMS7nelnO913XZNdIVB5Vyh2nLzsO55qDrk8vIkJ6icq2g7brt0QBFURictYxFAAAEEEEDAtwIEld3SElRGto0JKudBDs4tcs4tf853iObNX/HDF+o+lGL/3mFtvH5YdwxOaJ89wtp4g7DueiCh4tYhXXFhRN9NqP4OlfMdp3feT+mLr1MqaiUdd3hEjz+bVId2f12RWjaonIdJOA/NcG7xq6iU+z2nZFLuI9DrBpUTZQPOieqiq+PuLX+HHxhx9+WsAXFFotI9N8fcWworq/76DtXEn9Nu5DlXu5woc7635UTlbfdWf4eKK1RGJypjEUAAAQQQQCAQAgSV3TITVEa2jQkqZ5fO/mdERS1D7gMgGnrVDSrnNjzndj7nlkHngRBnnBRVt67StOnS1Olp9ztMjz/z11P+2hVX/11Yw0em9MEnqaVu8Vs2qJx/d24bdK4YOVe6Zs6WHnsqqQUl6aWCytmu7wkRbbBuSGWLpedeTeqQfSPuLYLO8Ti3Iq7RPeRejTpon7+e8rdVr7AOcZ7yF5HmzZeeeCbpfneMoGroDODnCCCAAAIIIIDAigUIKrszhKAysl1eUGX6cc4jzf+YltbIjxv3F97W/XuhnCflOQ+LcJ7ExwsBBBBAAAEEEEAgOAIEld1aE1RGto0Jqq6dQzq/X0RX35JQeUXuO+jconfUodV/h5UTVpf1j7rfnxrzbeMiLfc94p0IIIAAAggggAACq0KAoLJTJ6iMbHMNqiMOimin7cLuX2o79rvq8Om8Wkj/Oi1S7546D314YEj9V5ycW+z6HBHR5puG3O8yfTU2Xfv3RBkdNmMRQAABBBBAAAEEmqAAQWW3KASVkW2uQWW0O4xFAAEEEEAAAQQQCLAAQWW3+ASVkS1BZQTLWAQQQAABBBBAAIGsBQiqrMkyfgNBlTFVdhsSVNl5sTUCCCCAAAIIIICAnQBBZWdLUBnZElRGsIxFAAEEEEAAAQQQyFqAoMqaLOM3EFQZU2W3IUGVnRdbI4AAAggggAACCNgJEFR2tgSVkS1BZQTLWAQQQAABBBBAAIGsBQiqrMkyfgNBlTFVdhvWF1TOX6xb7yudlvsXRdX3yvVn2e0uW1sL5LqOTel91kbMRyADgWFvJbXFZmGt3n05f2ZmMINNVq3AorK03h/F34e4aleBTw+iAEFlt+oElZHt8oJq79KhRp/IWAQQQMDfAr+uf5TuGFLgBtVJvcYp9utYfx+wD48uWdRRr5btT1D5cG05pKYvQFDZrRFBZWS7oqCqeH6I0acyFgEEEPCnQGybXTRl78uXCqrkwHP9ebA+PqpY30sIKh+vL4fWtAUIKrv1IaiMbAkqI1jGIoBAIAUIKn8sO0Hlj3XkKJqnAEFlt24ElZEtQWUEy1gEEAikAEHlj2UnqPyxjhxF8xQgqOzWjaAysiWojGAZiwACgRQgqPyx7ASVP9aRo2ieAgSV3boRVEa2fgmqb+NhdYuk1T6cNpJiLAIIINCwQDZB9WFVRI8uztM++Ql1j6Rq//nYwrg+rYpol7xkwx+Y4RYvVET1bmVU8bS0eSylM1tUqYAHEC5Xj6DK8MRiMwQMBAgqA9QlIwkqI9vmElTOg2vDKzC4bVGeDitIaP0oj7g1OlUYiwACGQhkE1S3L8rTJrGU9stPqO4//5oM66nyqK5oVZXBJza8yedVET1TEdM1rSpVGEprUFm+NoomdWRBouE3B3QLgiqgC89hNwkBgspuGQgqI9tcguqViqjeroyqTSit3vlJvVQR1eA2Fe4eOv/8YVVUzn/43Cya1Mkt4opKOmVBgY4vTOjzeEQzkyHtkZ/Q4Uv+j/mYeET/K48qoZA6hVPq1yKutuG0Xq+I6vdkWL8lQ9oylpLzX20fXxzTl/GInOtQm0RTOrNllV6riOq58pjahdM6sUVc28Wq96m+/TBiZCwCCCDgCmQaVM6fUa9UxNQilFaXcFqTk2H3n52rUh9VRVSWDqlHJKWTWsT177KYesVSmpAIa1E6pDNaVLl/Pv6ZCmuTaFKnt4i7n+1c8XqxIqZkWuoQTuvcllXuVXtndiItbbDkPzg573Wi7ZyW3gSbH5eeoPLjqnJMzUWAoLJbKYLKyDbboJqWDOnK0nzd1bpSrcJpDVqUp2nJsO5vU+GGzlPlMd1UVKmCUFp3LPmvr/vnJ9R3QYEbX8cVxjUvFdJZJQUaWlyu8nRI/Rfm6/qiKq0RSblx9GMirAGtqvRWZVQvlEd1c+tKdQqn9ZUbXjENLKqQU2yXLcx3r0rtlJfUBQvzdWaLuHuFakX7YcTIWAQQQCCroHI2HrgoT9vnJbVrXnKpf3auKI2oirhXqKYkwxrg/hlZ6QbRPWV5mpIM6daiSvc/LJ1WUqh7W1coFpLOKCnQXa0r3D8vH1occ//D1hlLYqvu8tyyKE/bxFLaK58rVMs7bQkqfkMjsOoECCo7e4LKyDbboBpeGdXYeHXwOK9PqiJ6ujzmBtXgsjx1jaR0aJ0rT8Mqorq2qNINqquKqrR2pPqWPOeK1cDWle5/cf14yf9wcH69Iu38rFBPtS137/f/Oh6uve3F+R8PlWnV3vfv/A+GjuG0e6WrblCtaD+MGBmLAAIImAXVtaV5GlJcfRfAM+Uxlaalfy4JpXNKCnRBq+o/W8vTUuGS70U5f66OrIrqqlaVS63M8xVRTYhHdFVRpRtcvOoXIKg4MxBYdQIElZ09QWVkm21QObepzEyF1a9FdVBNTIR1X1meG1TOf/X8KRGuDR4nnZzbAm9rXR1UzpWmzkseGlHz719URfRcRUytQ389TGJxWrq7daV7e6Az/7wlt6UsTIf05OKYpqZC7v8QmJUKud89OGKZoFrRfhgxMhYBBBAwC6pbF+XV3lbt3N7spNVJhdW3+Z23sMC9tW+dSMq99XlsovrbpmWpkHvb39VF1UHl/An72OKY/kyFdFHLKuVTUys8YwkqfkMjsOoECCo7e4LKyDbboHK+O/VDIqy8jWKCAAAgAElEQVQLl0SO8yQq5zY/J6geWJzn3rZ3QD23kSwvqCYlwnJub7m4ni9fO5/l/Nz5HwvOy7kilUiH1K9llfuACufzVgun/hZUK9oPI0bGIoAAAqs0qP5MhvRyRdS9fbplKK1RVRF9UBmtDarHy2Pu7dbOn6cR1qpBAYKqQSI2QMBMgKAyoxVBZWSbbVD9nAi7V6LublPpfoH65kX57kMmnKByvuP0fHn1LX7ObSfvVUYVDaW1e15yuVeoCiX3dr0bW1e6X8x25jv/Q6Bvi7j74Iu6QXVHWZ7Wj6R0UEFCvyXD7ve3dsxL6vjCuPsdA+ehF71iyRXuhxEjYxFAAAHPgsr5Hqjz8J8biyr1RzKsTK5QOXcHOLdjX9qqyn2ghfMdVudK1s1FlRqfCOvRxTH3NmtiKrMTlaDKzImtELAQIKgsVKtnElRGttkGlbMbT5TH3O89Od9fcr5M7Twx6r46T/n7oCrqPmXK+T7Vv5Y8sW95V6icWwBrnvJXmQ65j/Q9rUVcG0ZTfwuqmtsLoyG5T7/aJi+pwWUxnd0y7j4JcFhFzH3ohXMboHNrYn37YcTIWAQQQMCzoFqQCumy0nw5t007D6bIJKicP4+d7RalQu6T/foUxjWwLE975CU1NxVynxxYN6ZWj6Tc27F51S9AUHFmILDqBAgqO3uCysg2l6By7sWvuf3euf3vv+Ux3bLkPn2j3WQsAggg0CwEMn1serM4mADvJEEV4MXn0Fe5AEFltwQElZFttkHlPBji7JIC99Hozn/hdJ6o51xVOrWeR/Ma7TJjEUAAgSYrQFA12aXJascIqqy42BgBTwUIKk85lxpGUBnZZhtUzm44341ybqlzbkdxnizVr2VcRXWe0me0q4xFAAEEmrwAQdXklyijHSSoMmJiIwRMBAgqE1Z3KEFlZJtLUBntCmMRQACBZi9AUDX7JXQPgKDyxzpyFM1TgKCyWzeCysiWoDKCZSwCCARSgKDyx7ITVP5YR46ieQoQVHbrRlAZ2RJURrCMRQCBQAoQVP5YdoLKH+vIUTRPAYLKbt0IKiNbgsoIlrEIIBBIAYLKH8tOUPljHTmK5ilAUNmtG0FlZEtQGcEyFgEEAilAUPlj2Qkqf6wjR9E8BQgqu3UjqIxsCSojWMYigEAgBQgqfyw7QeWPdeQomqcAQWW3bgSVkW02QVVwVF+jvWAsApkJVDw/JLMN2QqBVSSQSVA520TW6rGK9nDlfWxqzkxVjXxj5X2gh59EUHmIySgEshQgqLIEy2JzgioLrGw2zTaofsk/ZZnxaeep9iv4yPp+3tB7sjmCVb2t349vVfv+9flrR15W5eN3NZ0dYk8QqEcg06AafdKp+ii10LeGG6pAB73yGkHl2xXmwBCwEyCo7GwJKiPbXIJq/LCk0d4wFoH6BXr0Dmv9Vq8QVJwgTV4gm6Dac+qIJn88ue7gM113IahyxeN9CARcgKCyOwEIKiNbgsoIlrGeChBUnnIyzFCAoKrGJagMTzJGI+BzAYLKboEJKiNbgsoIlrGeChBUnnIyzFCAoCKoDE8vRiMQCAGCym6ZCSojW4LKCJaxngoQVJ5yMsxQoCkH1TrvTdCfW66h8nYtDQUIKnNcPgABnwsQVHYLTFAZ2TaXoHrsj6N0dNcH1DLSwUiCsU1ZgKBqyqvDvtUVaLJBtZKfBcQtf/y+QACBXAUIqlzlGn4fQdWwUU5bEFQ5sfGmlSxAUK1kcD4uZwEvgmr9179VfmmFYmVVmnD4FopWxOVcXapqla9wPKXxR22lrR/8UGNP2VHxFnla68NJqmqZr1A6rfaTZiqUTGnuBp01dbu1tc3gD1TapY1mb9JVXb6Zot9230DheFLrjJigeGGe0uGwxh+5pTZ+4WtVFRUolEqraNoCjTt5B4USKW300hj3Oa7pUEg/HL21Oo6frk7fTVMqEtaCtTu4n1Hfi6DK+RTijQgEXoCgsjsFCCojWy+DamzJc/ph0RsqDLfRRkX76ZuSZ9Wn21Dn/xTr0/kP67fFn0tKqUtBT+3W/jyFFdG4hS9qQulbSiulwkhb7dFhgFpHO+uP8q/1ybwHFAqF1aPlPzRu4Uu1V6imlH+h0fOHKqWEiqKdtXv7/oqG8vXE1ON1QrfHVRBp42p9Mu8hRUN52q7tqUZ6jF1ZAgTVypLmcxor0Nigaj11vrp/9osbTUXTSxSJJ7TW+xM16eCeWty+ldZ95weVdmurggWLlSiIafrWa1bH1ak7quP30zVjizXcQ9ju3hH6vP9e2nHQu/qq325ujG367JduUOUtqlR52xburX9bPvKxfjh6K607fIJmb9RFszfuog1f/sad02bKPFW1zNOfW62pjuP/1MKubbTlY5/q8/P2VDoc0jYPfKgxp+2kZF70b2wEVWPPJN6PQHAFCCq7tSeojGy9Cqr58T/06oyLdHTXB1UQLtI7s2/QgvhUHdftUf1ePlqj5z+mI7rc6/6dVS/P6K9erY9W98It9My003V8t8cVCxdq4qLhSqQrtXHR/vrf1JO1W/v+Wr1wK40vfUMfzxus47s/rpAienb6GTqk8+1qF1tT3y58STMqx2vvjlfqzVlXad0Wu2qDVr1draemneL+eoe89Yz0GLuyBAiqlSXN5zRWoLFBtdp309RqxkL90nuj2l3Z/q73NLr/nu5Vom5f/KpIPKmZPbtrw5e+0aQDe2q9d3/Qd8dtq26jf1XraQuUjEXU4ccZ+nTA3truvvc1+pw93Fk1QeVc+eoyZooS+VF3u7F9d9RaH0zSHzusq9KubdTjje80d4NO6vjDdM3atJvmr9vRfX9scZV2uHO4e/XLeRXMX+xe3arvO1kEVWPPJN6PQHAFCCq7tSeojGy9CqrxpW9qasUYN2Cc189lH+rLBU+4QeVcoYqnKxQLFbo/GzX3PhVFV9NmrQ/Tk1OP13bFp2qdljurINza/fmC+B96ecYFOnX1591/T6ar9MiUQ3VC9yc0rWKcfi77QPuvdoP7s3i6XEOnHK3T13zVDbLfy7/QPh2v0pyqnzV89i1LPt8Ij7ErTYCgWmnUfFAjBRobVE4QrfHRT/r+2G3kXK1y4mf1zydr0gE9tbhDK/V463stWKu9ezWp12OfugFUslZ799e2fnCUPj93T+WVVWrb+0fq40v31bb3va8vlgmqTZ77SmP67qxEi5j78+/6bOfeNrhsUBX9WaJEfkzTtl1LncZNVWm3Ym329BcaffYe7t/n3nJWqco6FtX7d7sTVI08kXg7AgEWIKjsFp+gMrL1Kqic2/sWJma4t/I5r5mVE/T+nNvdoKlIluizBY+6oeS8ShMztWnRQdqyzXGaUzVZ35Q858ZYx7z1tVv7c7Q4OV8j5ty25HbB6gN/dMphOrbbw26ofbXgfyqMVMeX86pMlemYrv9ROBTR09NO00nd/6cxJc+6txFuW3yykRxjV6YAQbUytfmsxgg0Nqicz17/tSXfoVpc8x2qhNYZPl7xlnnuVf4JR2zhXq3q+tXv7nerPrl4HzdqNh/6mSpbF6iyuFCtppe4V5fW+PinvwVVp2+nquXMUlUUFyoViyi6uErhVPpvQbWwW1tt/OLXUihU/R2qY7Z2byt0vkPl3PLnfJZzhay+F0HVmLOI9yIQbAGCym79CSojW6+C6ofS1zW94lv17ni5u6eTy0bpiwWPu0HlXJFKKu5+1ymksD6ce497hcoJqppXKp3Q1yVPaW7Vr9qubV+9UucKlXMVasiUI9wrVM5n/LL4Y+3T8ep6RV6feYV6tj7EvcXQ+T5W+7x1jOQYuzIFCKqVqc1nNUbAi6BqzOc3lfcSVE1lJdgPBJqfAEFlt2YElZGtV0E1u2qS3px1jY7p+pDyQi3cfy5NzHCDavjsm9QpfyP1bH245lb9ondm36h1W+yitVrsoHELX9CeHS5WJJSnSWUjNLnsI+3T8Uo9Oe1E7dH+Ivc7VM6DK5xAOr77UIUV1XN/9tOhne5Qm1hXOZ87adH72qndma6Qc+vhHxVfa358io7t+rCRGmNXtgBBtbLF+bxcBQiqajmCKtcziPchgABBZXcOEFRGtl4FlbN7n81/RJPLPlSraEf1aLmHvlv4io7t9kjt7X+RUFQd8zfQ2oU7aOTcO/WPDhfqz4rv3CtOzsMmWkTaurcMto2t4T4R8NP5D7nfv9qw1T5uKDkPoiiKdlLNU/6cB1g4D7PYuV0/dc7fxBVybi98cuoJ6tXmaG1TfKKRGmNXtgBBtbLF+bxcBQgqgirXc4f3IYBAtQBBZXcmEFRGtl4GVVpphdy/sUTurXmfzx+iw7vcbbTnjA2SAEEVpNVu3sdKUBFUzfsMZu8RWPUCBJXdGhBURrZeBZVzZeip6X11WOc71Ta2pj6Ye5dioRbaqd3/Ge05Y4MkQFAFabWb97ESVARV8z6D2XsEVr0AQWW3BgSVka1XQeXs3oRFb7lP7HOertchb13375GqeRS60e4zNiACBFVAFtoHh0lQEVQ+OI05BARWqQBBZcdPUBnZehlURrvIWAREUHESNBcBgoqgai7nKvuJQFMVIKjsVoagMrIlqIxgGeupAEHlKSfDDAUIKoLK8PRiNAKBECCo7JaZoDKyJaiMYBnrqQBB5SknwwwFCCqCyvD0YjQCgRAgqOyWmaAysiWojGAZ66kAQeUpJ8MMBQgqgsrw9GI0AoEQIKjslpmgMrIlqIxgGeupAEHlKSfDDAUIKoLK8PRiNAKBECCo7JaZoDKyJaiMYBnrqQBB5SknwwwFCCqCyvD0YjQCgRAgqOyWmaAysvUiqDY+OGK0d9mPHT8smf2beEeTFyComvwSsYNLBBoTVIcWr61eLTqo7l+S3hhYr+Y0tA9Tqko1ZM6PS232TNdddNArr6lq5BsNvb1J/jzW9xK9Wra/3h+VapL7x04h4GcBgspudQkqI1uvguqt7RNGe5j52MPmRTXmdoIqc7HmsyVB1XzWKuh72tigGlrQWW3mTG42jGVFnXRuJE5QNZsVY0cRaPoCBJXdGhFURrZeBtUds6qM9rLhsb2LorqmPI+gapiqWW5BUDXLZQvkTnsSVCMGNRu7sp37EVTNZrXYUQSahwBBZbdOBJWRLUFlBMtYTwUIKk85GWYoQFBV43LLn+FJxmgEfC5AUNktMEFlZEtQGcEy1lMBgspTToYZChBUBJXh6cVoBAIhQFDZLTNBZWRLUBnBMtZTAYLKU06GGQo016B6acJidWoV0U6r52elwy1/WXGxMQIIZCBAUGWAlOMmBFWOcA29rSkHVf6MP9T1+QdVMP03JYqKNePgk1W66bb1HhLfoWpopZv3zwmq5r1+Qdp7goorVEE63zlWBCwECCoL1eqZBJWRrXVQhVIppcPhnPZ+vYHnaf72vTV3lwPUauJYrT50oCZeP1SpvL//F1SCKifiZvMmgqrZLFXgd9TLoEpLuuuzUpXFUyqIhnTRDq316sRyjZ8dV0UirWM3baFHvlmkgXsVKxoO6dIRC3TVrm3UMhZaah0ueHf+UttcuWsbDf6i1N2mtCqtK3dprTd+KnevUL31U7mu2LWNCqMhXTx8gQb2Ltbrk8o1bmZciVRaJ23eUmsXR2vnc4Uq8Kc8AAh4LkBQeU5aO5CgMrK1CKqCqb+o29P3qbLLGoqWzNNvZ92g4i9HquPwF6RUUvHiDpp2Qn/3/28/6nXlT/9N4XhceXNnuD//49RLlGjTTsWj39eC7fZQOlz991xteNnx+uXCO1TVofPfNAgqoxOkiYwlqJrIQrAbDQp4GVTfzoxrzJ9VOqVXS33yR6U26hDVTR8t1B17t1VJZUqDPlmojTvGtEH7mHq0j+rOz0p17e5t/raPT31XttQ2F+/UWmNnVGnH1fM1dGyZNu8c06/zE/UG1U17tNElIxbozr3ban5FSg98uUiX79KaoGrwTGADBBDIVYCgylWu4fcRVA0b5bSFSVD9+bvWvvtSTT/2LJVssbMiixdpg2v66udL71NV+07q+twDUiik6UedqXYfvanV3nlGP19yr3tbn3OLX6JFkWYdcPxSx1M45Set/thtmnT1w+57l30RVDktf7N5E0HVbJYq8DvqZVC990uFeyXqwPULXdfZZUk99PUiOVeYnNd5b893r1q9Nmmx1msXUzgk7bVOwd/W4I+S5FLb7LJGvh79ZpFSaemX+QkdvUkLTS9N1htUA3ZqrQvema+enWLu3GRaunQngirwJzoACBgKEFR2uASVka1FUOX/OUXr3DVAE257pjZ+wpXlSuVX/4+CNmM+UvEXI/T7mde6QdVq0jhNOe0y92ftR72hgqmTNa3PubVHnDd3ptZ86HpNP/IMla2/eb0SBJXRCdJExhJUTWQh2I0GBbwMKucK1edTK3XGVq004tcKbbpaTAM/WXKFqiKlOz8v1XW7t9FVI0vcW/TO277ob7f71exw3W2+nFapGYtS7i2D94wu1Xbd8mqDasQvFe6cFtGQznl7vu7fr62ufL9Et+5VrERKmrM4qc6tqu8acF7c8tfgKcEGCCCQpQBBlSVYFpsTVFlgZbOpVVCt9dB1mnjto9W7kk5rtbefUasfv3H/NVK+SPG2HfVbv+vcoGrx+0RNPeF892fL/rvzQArnytSMQ09T6SZbL/fQCKpsVr35bUtQNb81C+oeexlUzneobv90oXuVKj8S0oAdnatR5fp+VlxVybSO79lSPdpF9fi4Mk0pSbjfn1req+42UxcmdcdnC9WjXUxtC0OaOCfhXoFyvkMVT6b10ZRKrdkmqu9mxTWod7H7md/NjGtxPKWDNmjhBhhBFdQznONGwF6AoLIzJqiMbK2CyrmiNOnaR9y9dq5IdXzvBf16zs1KFrZU8VcfqvjL9xsMKvfK1IPXalqf87R47Q1XKEBQGZ0gTWQsQdVEFoLdaFDAy6Bq8MOawAZcoWoCi8AuIOAzAYLKbkEJKiPblRFU7m19E7/RlNOvcL9PtfrjgxSurNAv/W9b4RWqtf59lebvuI/7PayGXgRVQ0LN++cEVfNevyDt/aoOqiHflKm0KrUU+b+2bqVY5O/fPfViXQgqLxSZgQACdQUIKrvzgaAysl0ZQRVdtFBrPHKTIotLFW/TQTMPPEFrPHqL5m+3lxKt29Z7y9+s/fqox41nKh2t/iJ0zWvqSRdo4Wbb/02DoDI6QZrIWIKqiSwEu9GgwKoOqgZ30OMNCCqPQRmHAAIiqOxOAoLKyNYiqIx2dYVjCapVob7yPpOgWnnWfFLjBAiqar9nuu6ig155TVUj32gc6Cp6d6zvJXq1bH+9P2rpq32raHf4WAQCJUBQ2S03QWVkS1AZwTLWUwGCylNOhhkKeBFUkaoywz30fvR54SoNmfPjUoMJKu+dmYhAUAQIKruVJqiMbAkqI1jGeipAUHnKyTBDgcYGVXHkryfoGe6m56OHzp1IUHmuykAEgilAUNmtO0FlZEtQGcEy1lMBgspTToYZCjQmqAx3a6WP5grVSifnAxHwjQBBZbeUBJWRLUFlBMtYTwUIKk85GWYoQFBV4xJUhicZoxHwuQBBZbfABJWRLUFlBMtYTwUIKk85GWYoQFARVIanF6MRCIQAQWW3zASVkS1BZQTLWE8FCCpPORlmKEBQEVSGpxejEQiEAEFlt8wElZEtQWUEy1hPBQgqTzkZZihAUBFUhqcXoxEIhABBZbfMBJWRLUFlBMtYTwUIKk85GWYoQFARVIanF6MRCIQAQWW3zASVkS1BZQTLWE8FCCpPORlmKEBQEVSGpxejEQiEAEFlt8wElZEtQWUEy1hPBQgqTzkZZihAUBFUhqcXoxEIhABBZbfMBJWRLUFlBMtYTwUIKk85GWYoQFARVIanF6MRCIQAQWW3zASVkS1BZQTLWE8FCCpPORlmKEBQEVSGpxejEQiEAEFlt8wElZEtQWUEy1hPBQgqTzkZZihAUBFUhqcXoxEIhABBZbfMBJWRLUFlBMtYTwUIKk85GWYoQFARVIanF6MRCIQAQWW3zASVkS1BZQTLWE8FCCpPORlmKEBQEVSGpxejEQiEAEFlt8wElZEtQWUEy1hPBQgqTzkZZihAUBFUhqcXoxEIhABBZbfMBJWRLUFlBMtYTwUIKk85GWYoQFARVIanF6MRCIQAQWW3zASVkS1BZQTLWE8FCCpPORlmKEBQEVSGpxejEQiEAEFlt8wElZEtQWUEy1hPBQgqTzkZZihAUBFUhqcXoxEIhABBZbfMBJWRLUFlBMtYTwUIKk85GWYoQFARVIanF6MRCIQAQWW3zASVkS1BZQTLWE8FCCpPORlmKEBQEVSGpxejEQiEAEFlt8wElZEtQWUEy1hPBQgqTzkZZihAUBFUhqcXoxEIhABBZbfMBJWRLUFlBMtYTwUIKk85GWYoQFARVIanF6MRCIQAQWW3zASVkS1BZQTLWE8FCCpPORlmKEBQEVSGpxejEQiEAEFlt8wElZEtQWUEy1hPBQgqTzkZZihAUBFUhqcXoxEIhABBZbfMBJWRLUFlBMtYTwUIKk85GWYoQFARVIanF6MRCIQAQWW3zASVkS1BZQTLWE8FCCpPORlmKEBQEVSGpxejEQiEAEFlt8wElZEtQWUEy1hPBQgqTzkZZihAUBFUhqcXoxEIhABBZbfMBJWRLUFlBMtYTwUIKk85GWYoQFARVIanF6MRCIQAQWW3zASVkS1BZQTLWE8FCCpPORlmKEBQEVSGpxejEQiEAEFlt8wElZEtQWUEy1hPBQgqTzkZZihAUBFUhqcXoxEIhABBZbfMBJWRLUFlBMtYTwUIKk85GWYoQFARVIanF6MRCIQAQWW3zASVkS1BZQTLWE8FCCpPORlmKEBQEVSGpxejEQiEAEFlt8wElZEtQWUEy1hPBQgqTzkZZihAUBFUhqcXoxEIhABBZbfMBJWRLUFlBMtYTwUIKk85GWYoQFARVIanF6MRCIQAQWW3zASVkS1BZQTLWE8FCCpPORlmKEBQEVSGpxejEQiEAEF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+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_treemap(df, (\"time\", \"sum\"), \"time_sum\", \"Time treemap\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Comparación de memoria"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/oli/.local/lib/python3.6/site-packages/ipykernel_launcher.py:13: RuntimeWarning:\n",
+      "\n",
+      "invalid value encountered in double_scalars\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 600x600 with 4 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_pie_charts(df, \"Memory comparisons\", (\"memory\", \"median\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "plotlyServerURL": "https://plot.ly"
+       },
+       "data": [
+        {
+         "domain": {
+          "x": [
+           0,
+           1
+          ],
+          "y": [
+           0,
+           1
+          ]
+         },
+         "hovertemplate": "function=%{label}<br>memory_median=%{value}<br>parent=%{parent}<extra></extra>",
+         "labels": [
+          "Py_kgeneration",
+          "generate",
+          "fftma2",
+          "covariance",
+          "gasdev",
+          "fourt",
+          "cov_value",
+          "ran2",
+          "build_real",
+          "prebuild_gwn",
+          "clean_real",
+          "cgrid",
+          "length",
+          "maxfactor"
+         ],
+         "marker": {
+          "colors": [
+           "#636efa",
+           "#EF553B",
+           "#EF553B",
+           "#00cc96",
+           "#ab63fa",
+           "#00cc96",
+           "#FFA15A",
+           "#19d3f3",
+           "#636efa",
+           "#00cc96",
+           "#636efa",
+           "#636efa",
+           "#636efa",
+           "#636efa"
+          ]
+         },
+         "name": "",
+         "parents": [
+          "",
+          "Py_kgeneration",
+          "Py_kgeneration",
+          "fftma2",
+          "generate",
+          "fftma2",
+          "covariance",
+          "gasdev",
+          "",
+          "fftma2",
+          "",
+          "",
+          "",
+          ""
+         ],
+         "type": "treemap",
+         "values": [
+          101.9,
+          130.7,
+          23.5,
+          27.7,
+          0,
+          0,
+          0,
+          0,
+          0,
+          2.5,
+          0.9,
+          0,
+          0,
+          0
+         ]
+        }
+       ],
+       "layout": {
+        "autosize": true,
+        "legend": {
+         "tracegroupgap": 0
+        },
+        "template": {
+         "data": {
+          "bar": [
+           {
+            "error_x": {
+             "color": "#2a3f5f"
+            },
+            "error_y": {
+             "color": "#2a3f5f"
+            },
+            "marker": {
+             "line": {
+              "color": "#E5ECF6",
+              "width": 0.5
+             },
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
+             }
+            },
+            "type": "bar"
+           }
+          ],
+          "barpolar": [
+           {
+            "marker": {
+             "line": {
+              "color": "#E5ECF6",
+              "width": 0.5
+             },
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
+             }
+            },
+            "type": "barpolar"
+           }
+          ],
+          "carpet": [
+           {
+            "aaxis": {
+             "endlinecolor": "#2a3f5f",
+             "gridcolor": "white",
+             "linecolor": "white",
+             "minorgridcolor": "white",
+             "startlinecolor": "#2a3f5f"
+            },
+            "baxis": {
+             "endlinecolor": "#2a3f5f",
+             "gridcolor": "white",
+             "linecolor": "white",
+             "minorgridcolor": "white",
+             "startlinecolor": "#2a3f5f"
+            },
+            "type": "carpet"
+           }
+          ],
+          "choropleth": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "type": "choropleth"
+           }
+          ],
+          "contour": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "colorscale": [
+             [
+              0,
+              "#0d0887"
+             ],
+             [
+              0.1111111111111111,
+              "#46039f"
+             ],
+             [
+              0.2222222222222222,
+              "#7201a8"
+             ],
+             [
+              0.3333333333333333,
+              "#9c179e"
+             ],
+             [
+              0.4444444444444444,
+              "#bd3786"
+             ],
+             [
+              0.5555555555555556,
+              "#d8576b"
+             ],
+             [
+              0.6666666666666666,
+              "#ed7953"
+             ],
+             [
+              0.7777777777777778,
+              "#fb9f3a"
+             ],
+             [
+              0.8888888888888888,
+              "#fdca26"
+             ],
+             [
+              1,
+              "#f0f921"
+             ]
+            ],
+            "type": "contour"
+           }
+          ],
+          "contourcarpet": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "type": "contourcarpet"
+           }
+          ],
+          "heatmap": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "colorscale": [
+             [
+              0,
+              "#0d0887"
+             ],
+             [
+              0.1111111111111111,
+              "#46039f"
+             ],
+             [
+              0.2222222222222222,
+              "#7201a8"
+             ],
+             [
+              0.3333333333333333,
+              "#9c179e"
+             ],
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+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_treemap(df, (\"memory\", \"median\"), \"memory_median\", \"Memory treemap\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Análisis de la CPU"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+        "plotlyServerURL": "https://plot.ly"
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+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_treemap(df, (\"cpu\", \"mean\"), \"cpu_mean\", \"CPU treemap\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## N = 128"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Armado del dataset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Executing file log_128-aa\n",
+      "Executing file log_128-ab\n",
+      "Executing file log_128-ac\n",
+      "Executing file log_128-ad\n",
+      "Executing file log_128-ae\n",
+      "Executing file log_128-af\n",
+      "Executing file log_128-ag\n",
+      "Executing file log_128-ah\n",
+      "Executing file log_128-ai\n",
+      "[21.809131, 29.575357, 17.376702, 22.28339, 34.225339, 17.65522, 13.884919, 22.901137]\n",
+      "Executing file log_128-aj\n",
+      "Executing file log_128-ak\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th colspan=\"3\" halign=\"left\">memory</th>\n",
+       "      <th colspan=\"5\" halign=\"left\">time</th>\n",
+       "      <th colspan=\"3\" halign=\"left\">cpu</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th>min</th>\n",
+       "      <th>max</th>\n",
+       "      <th>median</th>\n",
+       "      <th>min</th>\n",
+       "      <th>max</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>sum</th>\n",
+       "      <th>count</th>\n",
+       "      <th>min</th>\n",
+       "      <th>max</th>\n",
+       "      <th>mean</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>function</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Py_kgeneration</th>\n",
+       "      <td>502.7</td>\n",
+       "      <td>502.7</td>\n",
+       "      <td>502.7</td>\n",
+       "      <td>1501.888817</td>\n",
+       "      <td>1501.888817</td>\n",
+       "      <td>1501.888817</td>\n",
+       "      <td>1501.888817</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>22.449193</td>\n",
+       "      <td>22.449193</td>\n",
+       "      <td>22.449193</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>generate</th>\n",
+       "      <td>487.7</td>\n",
+       "      <td>487.7</td>\n",
+       "      <td>487.7</td>\n",
+       "      <td>1208.273905</td>\n",
+       "      <td>1208.273905</td>\n",
+       "      <td>1208.273905</td>\n",
+       "      <td>1208.273905</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>22.463899</td>\n",
+       "      <td>22.463899</td>\n",
+       "      <td>22.463899</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>fftma2</th>\n",
+       "      <td>33.3</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>293.611836</td>\n",
+       "      <td>293.611836</td>\n",
+       "      <td>293.611836</td>\n",
+       "      <td>293.611836</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>22.389739</td>\n",
+       "      <td>22.389739</td>\n",
+       "      <td>22.389739</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>covariance</th>\n",
+       "      <td>51.2</td>\n",
+       "      <td>51.2</td>\n",
+       "      <td>51.2</td>\n",
+       "      <td>292.433842</td>\n",
+       "      <td>292.433842</td>\n",
+       "      <td>292.433842</td>\n",
+       "      <td>292.433842</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>22.374167</td>\n",
+       "      <td>22.374167</td>\n",
+       "      <td>22.374167</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>gasdev</th>\n",
+       "      <td>-37.7</td>\n",
+       "      <td>7.9</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000082</td>\n",
+       "      <td>0.024570</td>\n",
+       "      <td>0.000430</td>\n",
+       "      <td>900.104776</td>\n",
+       "      <td>2097152.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>100.100000</td>\n",
+       "      <td>1.409411</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>fourt</th>\n",
+       "      <td>-15.8</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>-1.5</td>\n",
+       "      <td>0.314016</td>\n",
+       "      <td>0.472070</td>\n",
+       "      <td>0.379703</td>\n",
+       "      <td>1.139109</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>24.372092</td>\n",
+       "      <td>32.752676</td>\n",
+       "      <td>27.178624</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>cov_value</th>\n",
+       "      <td>-11.4</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000095</td>\n",
+       "      <td>0.000542</td>\n",
+       "      <td>0.000110</td>\n",
+       "      <td>125.023851</td>\n",
+       "      <td>1132300.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>75.075000</td>\n",
+       "      <td>0.362679</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ran2</th>\n",
+       "      <td>-27.9</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000081</td>\n",
+       "      <td>0.001710</td>\n",
+       "      <td>0.000107</td>\n",
+       "      <td>286.139310</td>\n",
+       "      <td>2668394.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>87.587500</td>\n",
+       "      <td>0.354400</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>build_real</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.019131</td>\n",
+       "      <td>0.019131</td>\n",
+       "      <td>0.019131</td>\n",
+       "      <td>0.019131</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>19.110417</td>\n",
+       "      <td>19.110417</td>\n",
+       "      <td>19.110417</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>prebuild_gwn</th>\n",
+       "      <td>-1.9</td>\n",
+       "      <td>-1.9</td>\n",
+       "      <td>-1.9</td>\n",
+       "      <td>0.009350</td>\n",
+       "      <td>0.009350</td>\n",
+       "      <td>0.009350</td>\n",
+       "      <td>0.009350</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>38.294445</td>\n",
+       "      <td>38.294445</td>\n",
+       "      <td>38.294445</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>clean_real</th>\n",
+       "      <td>14.7</td>\n",
+       "      <td>14.7</td>\n",
+       "      <td>14.7</td>\n",
+       "      <td>0.005629</td>\n",
+       "      <td>0.005629</td>\n",
+       "      <td>0.005629</td>\n",
+       "      <td>0.005629</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>15.062500</td>\n",
+       "      <td>15.062500</td>\n",
+       "      <td>15.062500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>cgrid</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.001644</td>\n",
+       "      <td>0.001644</td>\n",
+       "      <td>0.001644</td>\n",
+       "      <td>0.001644</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>6.275000</td>\n",
+       "      <td>6.275000</td>\n",
+       "      <td>6.275000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>length</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000345</td>\n",
+       "      <td>0.000378</td>\n",
+       "      <td>0.000357</td>\n",
+       "      <td>0.001072</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.025000</td>\n",
+       "      <td>0.008333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>maxfactor</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000102</td>\n",
+       "      <td>0.000104</td>\n",
+       "      <td>0.000103</td>\n",
+       "      <td>0.000309</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               memory                       time                            \\\n",
+       "                  min    max median          min          max         mean   \n",
+       "function                                                                     \n",
+       "Py_kgeneration  502.7  502.7  502.7  1501.888817  1501.888817  1501.888817   \n",
+       "generate        487.7  487.7  487.7  1208.273905  1208.273905  1208.273905   \n",
+       "fftma2           33.3   33.3   33.3   293.611836   293.611836   293.611836   \n",
+       "covariance       51.2   51.2   51.2   292.433842   292.433842   292.433842   \n",
+       "gasdev          -37.7    7.9    0.0     0.000082     0.024570     0.000430   \n",
+       "fourt           -15.8    0.2   -1.5     0.314016     0.472070     0.379703   \n",
+       "cov_value       -11.4    3.4    0.0     0.000095     0.000542     0.000110   \n",
+       "ran2            -27.9    3.0    0.0     0.000081     0.001710     0.000107   \n",
+       "build_real        0.0    0.0    0.0     0.019131     0.019131     0.019131   \n",
+       "prebuild_gwn     -1.9   -1.9   -1.9     0.009350     0.009350     0.009350   \n",
+       "clean_real       14.7   14.7   14.7     0.005629     0.005629     0.005629   \n",
+       "cgrid             0.0    0.0    0.0     0.001644     0.001644     0.001644   \n",
+       "length            0.0    0.0    0.0     0.000345     0.000378     0.000357   \n",
+       "maxfactor         0.0    0.0    0.0     0.000102     0.000104     0.000103   \n",
+       "\n",
+       "                                              cpu                         \n",
+       "                        sum      count        min         max       mean  \n",
+       "function                                                                  \n",
+       "Py_kgeneration  1501.888817        1.0  22.449193   22.449193  22.449193  \n",
+       "generate        1208.273905        1.0  22.463899   22.463899  22.463899  \n",
+       "fftma2           293.611836        1.0  22.389739   22.389739  22.389739  \n",
+       "covariance       292.433842        1.0  22.374167   22.374167  22.374167  \n",
+       "gasdev           900.104776  2097152.0   0.000000  100.100000   1.409411  \n",
+       "fourt              1.139109        3.0  24.372092   32.752676  27.178624  \n",
+       "cov_value        125.023851  1132300.0   0.000000   75.075000   0.362679  \n",
+       "ran2             286.139310  2668394.0   0.000000   87.587500   0.354400  \n",
+       "build_real         0.019131        1.0  19.110417   19.110417  19.110417  \n",
+       "prebuild_gwn       0.009350        1.0  38.294445   38.294445  38.294445  \n",
+       "clean_real         0.005629        1.0  15.062500   15.062500  15.062500  \n",
+       "cgrid              0.001644        1.0   6.275000    6.275000   6.275000  \n",
+       "length             0.001072        3.0   0.000000    0.025000   0.008333  \n",
+       "maxfactor          0.000309        3.0   0.000000    0.000000   0.000000  "
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = analyze(['log_128-aa', 'log_128-ab', 'log_128-ac', 'log_128-ad', 'log_128-ae', 'log_128-af', 'log_128-ag', 'log_128-ah', 'log_128-ai', 'log_128-aj', 'log_128-ak'])\n",
+    "overall_time[\"128\"] = df.loc[\"Py_kgeneration\"][(\"time\", \"sum\")]\n",
+    "overall_memory[\"128\"] = abs(df.loc[\"Py_kgeneration\"][(\"memory\", \"median\")])\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Comparación de tiempo"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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PyZHjd2cBjxnL+a0RnnJ+QVzQo10p1RRYjp5oJ6G3emQCg9Dv4ZVGa1FB3qsQ3sCEniCvJfe/2+Qcv1/sb1vlOOZW9PKXm8M5fs+tHPdEv2XwO/rjpcfRLy7uRK/c5CernM9F7+eTm38LcByRC0nol2YJejK7Fb05OxT4vIjHWoveHLwYvYPJME3TPJPvQfT7bDnlXLbP/TNW07RlRYwlp33ozYRrtKI/fjYY/Wp+iKZph7IWKqVyuwVQkCt90D8T0Dvh5WyRaOmxXghvEYt+qy6/srwPPRkf0DRtTzGdex/QDv1ed0HLWE4j0OMfqGladodcpdSduWyb2zlOoXcaNhfj95Nwk3vol8CdcL9C7wk6BtiqaVqRry7df+A3odfUP3f3Ss2yFLhSKdU+a4FSqioX1pqXojerP6GUCsx5DqVUjSKENh+9J+7TOVcopQKUUpULcIysGkR2jcF93zy3L4IU9Ga5/KxH/4K8z/OxG6XUtehNi9EX21EII2ia5kTvmzNUKVU3a7lSqhl6bTzL9+hl5hn3fWc8tlVKqWpFOP189A699+RcoZQKUUqVL8AxnOiJOvtRT6U/Mjs0l20vKMfu9/8dMEIp1SaXOIry/STcpIZ+6T4DHkTvUDL1Ug+madqP7qvdz9AT873uVa+g91L9VSn1NuceWzuE3ttdc++fqPRnuz8HNiqlvka/Km6I3klsDfrjZoWJaZVS6gPgcfcFxS/ozWzN0TvaPIQ+IlRefkFvYl/kPlYF9C+WWKBOjm03AOOVUk+h31eM1TTtgj4BmqbZlVJT0R9bW6WU+opzj63FcOEjhUJ4AxtwNbBGKfU+enK8H/3pjvYAmqbtc//9vwxYlVI/otdsGwPD0B8Fe62Q5/0cvfIx090ytsZ97jD38oHoF8l5iUZvsl+ilPoS/X73RPRyelmObTcA/ZVSk9B7tR/QNO1vIBL9+/JvpdSHwA7077DL0VsCqxbyfYksRnez98YX5x5b61TA7behX7nWK8K5rO5zPZpj+Xj38lc9lrVHv3eVjn6/KxL9uVQNqJVj/97otwTi0e+F/Yee+Dp6bDMHSM4lJhvux2dyLL8HvcCnol9s/Av8D6jjsU0MsPgi73UwsMUdzwFgCnoNPfuxO/d2tdBvPSS61630eE/Zj615bD8S/fGzdPTH+Obm/L8o7HuVl7xK8oX+jPdG9HEk/gPGoifotBzbDUfvQZ7sfu1Ef3a7hcc2K4FtuZxjDhCTY1mgu9xtc5eXs+4yPQ2o5LGdBrxzkdjvQu8snO6OZ0xu5Qj9ttcq9/eFhscjbOgXAu+gV0gy0e/FLwPuMfr/xpdfyv3hikuglNoEnNU0rZ8B556OXouvoOnNWUIIH+SuhbfWNK15ftsKkRu5h36JlFKd0GvOn5XCuUJy/F4NvTf7H5LMhfAduZTl5uhPfKw0JCDhF6SGXkTuDh0d0YcOrQ400TweNXMPIJFfB49kTdNyPn6S1zk3oxf4nejN0mOBukA/TdN+L0z8QgjjKKWOozeJ70cfT2E8+lMgHTRNu9iz50LkSTrFFd0N6PeddgM3axc+N96AiwzM4OFZ9HtPBfWT+7xZw85uBMZKMhfC5ywBbgZqo99H/wt9OFdJ5qLIpIZeQpRSWXOo52W/pmn7SyMeIYQQ/k0SuhBCCOEHpFOcEEII4QckoQshhBB+QBK6EEII4QckoQshhBB+QBK6EEII4QckoQshhBB+oFADy2zYsKEC+shkciEgisoFHOvYsWOBR8gTxpJyLy5CyrKXKfBz6Bs2bLjCZDLNNJlMFjzmtBZ+QWmAQvP8taRoLpcrweVy3dexY8e1JXgeUQyk3Is8SFn2MgVK6Bs2bKhgMpn+qFy5cq2aNWueVapEv/DFJXK5NDKdruBMhxZsd7kCnS7N7HJpAU5NMztdWoDLhdmJvsxzv+YBsZkmV2ZQ1u8aJhfK5MRkdug/A/SfyuzEHODQzMEZBASnYwpwFTQ2TdNUbGxs1fj4+JMul6uHXN17Lyn3vkfTNOxOLTDT6QqyO7Ugp8tldmno5V4v/2aXC7MLTBqaAqgekJZe2RFXTr+id1+zKeXCFODAFGDHZHZgCrBrKsCBOdDhXp6pKZOUZS9T0Cb3uiaTyVKzZs2z5cuXTyvRiESBuTRNpWY4Q9PtznLpDmdIhsNVLtPhKmd3uoLP31JxXuXK3XCqcjSglgs0aSanZyVMM4HTBM5A/YQeqxyehzc7CAjKwBycRkBwOoEh6QRVSMYcmOsMcDVr1jybmJhocblcddHnVRbeScq9l9I0jTS7MyQ1wxma7nCGZDpcwZlOVzm7UwvWNM2jEKscP7ngxklQgJ0QXLnkAkcwLs4v956UyVkrKCAz1ZEUWnfDK+NZtHoxsBtbQoEv8EXxKmhCNwFKrtCN5XRppuQMR4WUDEeFlExHxXS7q/z5hdcgmjMAe1oA9rTy5y03B6UTVD6ZoPJJBFVMJrBcJoD770gh92S9nZR7L+FwuszJGY4KqZnO8qmZzgrpdmd5l6YZW340l9nkzAgxOdJCQpJjXgFeAZKxWTYB6z1ee7ElyN9QKSjybGvWyOiOxRmIp5ioiA0ldWxf4tI0lZTuqJiUbq+UmumsmGF3hWQ1k/kEZ2Y50jLLkRZXHQBTgJ3A0CRFuVSZRMA3lVS5lzJ/Pk3TSM5wVEhMs1uSMhyVMx2uckbHVEAVgJ7uV5bj2CyLgAXAcmwJGYZEVgZIDamELF68uOK3335bqbD7OV2a6WxKZuWY0ymNdxxLbHfwTErzsymZtdLtztCsZD77vekM63sFIwf25LYhA9i66dx34b+b1nPj1T0YfFUn7h41hJPHj+V5vvS0tOxjZVn553pCml5J+wE3Zb/S0nLODqu7d8oLtO03kr43jiMhMQnQv4yuve1+9sUcPn9jlyOQjMSqKuVk/cC02AZhv9/3ITbLvdgstQv7OQlR3NatW1euXr16bUvrfLfffnvDsLCw8KxXcHDw5c88/6I15kyKdcfxxHYHTqe0PHo6oXbEVV3KeZbPnJ5+ZAL9O4UzcmBPRg7syRsvPJ29Li0tlakTx3Jdj8sZfFUnfo1ekOsxDhw6StfrRtO6zw289NbH2ct37t3PkDEPX+pbrYM+5XM0cBqb5RtsltuwWSpf6oHF+WQ+9CKy2+0EBgZedP2KFSsqxsfHm2+44YbE/I7l0jSVkGq3JKTZqyRnOCrn1ZS2a/tW5n/2Md8v/4vQ8hVY/P08Xn56Cl8uXo7L5eKJB8Yx7ZUZdOnWk09nvs2rzz7BazPnXPTc01+20b5TV7Zv2Xje8pZNGrH516/zjHvbrv/Ye+AQW5fP57k3Z/H5d9Hcf+dNfPTlD/Tp1omm1gZ57K1hdqb1QJ9i9j1slrXA98Dn2BJi8zyxEH7g888/P6RpGvGp9sq79h+s3qfzZSG9Im6olphmz97mYuUzpzH3PcBtd4+/YPmnH7xDUFAwi//YyJFDB7ltSH86d+tJ5SpVz9vu3TnzmXjHSG4dfi3hvW/ggbtuokL5UB5+5jVmRj1ZPG9YVwG4wf1yYLP8jl5z/w5bwtHiPFFZ5NM19Llz51Zu0qRJ65YtW4aPHz++XpUqVdrt3r07CGDr1q3BvXv3btamTZtWLVq0CH/ppZdqZO2nlOoYGRlZu23btq3q1avXdsaMGdWy1uW33yOPPFK3TZs2re6///76//zzT0jHjh1bhoeHt2ratGnrKVOm1AH4888/Qz777LMaP/zwQ9WwsLDwRx99tA7Ad999V6ljx44tW7du3apt27atflywqMrRuLR6O48nXnY4LrVpYrq9an73xZQCh91BWmoqAEmJCdSqUxeAHf9uxhwQQJdu+tX8DbeNYdWyJWSk5167Xrt6JbEnjjNo2I1F+PQhMCCAjEw7LpeLlNQ0ggIDOX7yFF/9uIRJ424rzKFMQDfgNeAINss8bJa+RQpK+LW8yvy4cePqt2nTplVYWFh4p06dWm7ZsiUYIDk5WUVERDRp2rRp65YtW4Z37969edbxJk2aVLdRo0ZtWrdu3erzzz8/L8vlLK+LFi2qCNCtW7fmn3zySZWs7RYvXlyxVatW4YV5H2mZjnJH4lLr7zie2O5wXGrTeV99YenWqy/Va9bK3uZSyyfA0kU/cOPtdwJQv2EjOl/ZgxVLFl+wXWBgAKlp6djtDlwuFyaTiZmffcvVV11J44b1inz+fAQAfYEZwEFslgXYLNdis/h0XjKSz9bQjx49GnD//fdbf/vtt10dOnRInzFjRrX4+PgAAIfDwc0339zk888/P9ChQ4f0pKQkU8eOHcO6d++e0qtXr1SA4OBgbevWrTs3bdpUrkePHq0mTJhwRimV735ms1nbtm3bToC4uDjTH3/8sSckJERLTk5WnTt3bjVw4MDEfv36pYwePfpUfHy8efbs2YcBduzYEfT888/XXb58+Z6A0EoV1m/ZVvum669t8vOfWwgKDr7Y27xAy/C23HbPeAZ1a0+lylUICgpi9rfRAJw4doQ69c7VistXqEj5ChU5dfIE9RtZzztOYkICb770DO99/i379+6+4Dz7Dh7h8oG3YDabuHPkECaMGXlhLM2s9OnWicsH3kLzxg15ZtI47pr0LK8+/TABAUX+0woERgIjsVn2ALOAOdgSzhT1gMI/5FXmAWw224m6deseAZg1a1aV+++/v+Hq1av3fv/995aEhATzvn37tgOcPHnSDPD1119bFi5cWGXTpk07Kleu7Bo2bFjjrGNlldcVK1bsqVq1qmvbtm3Bffr0aXno0KGto0ePPvPZZ59Vu/POO+MAZs+eXe222247nV/8Lk1TZ5Izq8WlZlZPtzvP60D647wvmPTUc9m/51c+c/pi9kx+nDeX2vXqc/9jTxHWWr9zcOLo+d8Jdes34PjRIxfs/+BdNzHmkWf4YO53PHrf7SQkJvNt9DJ++eq9fM9dTMzAEPcrBpvlQ2AWtoR8P1dxjs8m9JUrV5Zv2bJlaocOHdIB7r///jOPPfZYI4AtW7aU+++//0JuvvnmJlnbp6SkmP/999+QrMQ8duzYMwAdOnRIN5vN2qFDhwLj4+PN+e03fvz47D+w1NRU05133tlgx44dIUopTpw4EbRhw4bQfv36peSM98cFC6scPHQ4pPtVvdvjfoZEKRPHjx2hUeOmBX7fRw4dZPnPi1m0egM1a9fhqzmzmDLxLj79fkmhPr+Xn36Mu++fRLXqNS74wri8bRhH1v+MpVJFjhw7yaDRD1C9amVGDrn6guO8MHUiL0ydCMCCpStpULcW1vp1ufORZ0hMTmHkdQMYdf3AQsXmoQV6rf1FbJavgZexJeT/7Sb8Ul5lHmDhwoWVZs6cWTMlJcXscrlISEgIAOjUqVPq1KlTy912220Ne/XqlXTDDTckACxbtqzi9ddff7Zq1aougPHjx58aO3ZsBfexLAcPHgzu1q1bWNbxlVL8999/Qbfddlvc448/3uDgwYOBlStXdq5YsaLye++9l6PDyDkOl8t0Oimz5tmUjJoOl3bBfbqNf/9JanIyPfueK195lc+c7p/yFDVq1cZkMrH858VMHH0ji35fT2j5CgX7YIE6tWqw9MtzyfvGcVN4fdokfluznvc//4bgoCBefvx+GtWvW+BjXgIr8CLwFDbL58B0bAk7S+PEvs5nE3peNE2jUqVKjl27du242DahoaHZvazNZrPmcDhUQfazWCzZz1hOmjSpXrVq1Rzbt2/fERgYyNVXX900PT39vF7oTpdmik1Kr5XsNNe+8qo+pqh3Psoz9n17dvH4A/cA0L5TV5548bXz1i//aSHNw8KpWbsOANePvJWop6diz8ykdt36HD967nslJTmJ5KREatS6sM/Z5nVr2bxuLW+88DQZGRkkxMcR1m1Q0J7VP1Cp4rkvgvp1a3Hz9dew+p9NuSb0LIlJybw28zOWfvkuL7/9Cb2u6MhtIwbRbsBNDLm6FyEhl9RJNxi4A7gdm2Ue8LwUcOFp7969QVOnTm34559/7mzdunXG33//HdK/f/+WAOHh4Zm7du3avnjx4oq//vprpWeeeab+li1bLijjSp0rupqm0aNHj8RFixYdyO18gwYNivvwww+r1qhRw3HllVcm1q5d+4IxFyIff6LujwsW1ECZAh563Eb33v1yjf2Hr+cy+MabMJvN2ctyK59DenVm4ap1F+yfdcsNoN+11zEj6lli9v1H+GXtqV1P/07I+g44duQwV17V52IfIwDfRS+nqbU+7du0pFWv4fwT/Tnrt+xg2qsz+XTGc3nuW8xC0DvT3YPNsgR4DluCjEiXB5+9V9G7d++U3bt3h2bdJ3v//fer2e12BdCuXbv0ChUqOD3vjW/bti04q6ntYgq7X3x8fED9+vUzAwMD2bJlS/CaNWuye7VXrFjJFZ+UUmHXicS2p5Iy6nbr1c+09o9V7Nm5LXt/z97pWZq2CGP+0tXMX7r6gmQOUK+RlU3r/yY1RR+U6fdlS2nUpBmBQUGEX9Yeh93OP3+uBuDbuXPo1f8agstdmEx//uvf7Nf/3v2Yps1bsuvPnzIBjp88hculX7ckJaeweNlqOrRpmddHR+RLbzPtkXGEhoSQkpqGUgqlFHa7g0y7Pc99C8EE3Axsw2b5GpuldXEdWHi/vMp8XFycOSAgQGvYsKHd5XIxffr0mln77du3L1Apxa233powc+bMI5qmsX///qABAwYkLVy4sGpcXJzJ5XIxc+bM6ln7DB48OHHNmjWV/v7775CsZb/99lto1r/vvvvu019++WX1uXPnVr/zzjvPaxbOdLgCD51NbXjr/VNrz/9lTcD8pasvmsyTkxL59aeFDB11fp+T3Mpnbskc4OTxc33J/t24joS4szSw6ncPro64nm8+/wTQW/fW/fUHfQZGXPQzjk9IYsbHX/LMI+MASE1Lx2QyYTKZSHb32zGAAq4F/sJm+RabpXl+O5RVRa6hG/3caL169RxvvfVWzLBhw5oFBQVpvXr1SgwNDXVVq1bNGRgYyKJFi/574IEHGrz77ru1XC6XqlKlimP+/Pn7gVxHLwMo7H7Tpk07NmbMmCZfffVVtUaNGmVcccUViZqmqZOJ6TW7XTOs5rzvvg8cMaAHfa8dzH0PTyHq7Q95PnIS6Wmp2O12wlq3Jb8ae079rrmO7Vs2cnNEX4KCgggJDSXq7Q8BMJlMvPTWBzwf+QgZGRnUrFWbF2fMzN534ugbmTD5CVq365DnOb77aTnvf/YtAWYzDqeTG6/rz52jrr/o9mvWbSYtPZ0BV12hn2fMSG6e+AT/e28Ot4+IwFKpYqHeYwGYgFHo99m/BZ7CliAjzpUCI8t9XmW+ZcuWmUOGDDkbFhbWukqVKo5BgwbFZ+23YcOGkGnTptXXNA2n06luuOGGs127dk3r2rVr2t9//12+ffv24RUqVHD269cv4Z9//gGgTZs2GbNnz95/7733NkpLSzPZ7XbVunXr1D59+hwA6NOnT6rZbObgwYPBw4cPTwS9Ne5kYnqtsymZtQs66MuShd8T3rZdoW67xZ44zv13jGT+Uv3C/elJEzlzKhaz2UxwuRBenTmHipUsANxx3wM8M/kBIrp3wGQ28/jzr1ClarWLHnvqizOwTbo3u0XtqYfuptO1txIUGMjHrz9T4BhL0AhgCDbLLOBZbAmnjA7ImxR0LPewgICAJc2bN08ODQ3Nvcu0AeLi4kxVqlRxAXz++eeVn3nmmXr79+/fblQ8Z5Izqp5MzKjvcLku/jybF2sTeCzD5MwoeA+9Ikp3aBw4eorGayZTLvmitx4LIxN4E70p/oL+C6JovLHce1uZB715/kxKZrXYxIx6vlj26wWlJldznCz4DXcPJVCWCyMJfXS6N7AlGNZ84E18+h76//73v5o//PBDVZfLpSpUqOD87LPPcr3fVdLS7c7gI3FpDVMzHYUeSEYUiyBgKnArNsuj2BLmGR2QKBneUuazJKbZK55ISK+f7nCG5r+1KGYVgeeB8dgszwCfYEu4aAtsWeDTNXSjuTRNnUhIr30mJbOOV4ypfol8uIae02/AA9gSDK25+Top9xdnd7oCjsalNUhMt1fNf2vv5sM19Jw2AqPLcrn32U5xRktIs1fccyKp9enkjLr+kMz9TB9gMzbL/7BZSvwCRZQtZ5Izqu45mdTaH5K5n7kc2KC30pXNwWnK5Ju+FE6XZjp4JsV68ExKi8wLpikVXiQAmIJewPPuBShEAdidroD9p5KbHo1Pa+x0aT59u9KPBQOvAiuxWRrnt7G/kYReCEnp9vJ7TiaFJ6TZL95NVHib1sDf2CxPlNWrdnHp4lIyK+85mdQ6OcNR2ehYRIH0BP7FZrnH6EBKk3zBFYCmaRyPT6sTczolzC61cl8UiD7y1HJslhIbmFr4H5emqcNnUxscjkttKrVyn1MBmIXNEl1WZnQs+h+ozVJi86FjS/CauZEzHa6AQ2dTm6RmOor9YWpR6nqjX7WPwZawyOhgfFJJlXsvKvNZMh2uwINnUpqm5Rh3XficQcB2bJY7sCVcODONH/HpGnrWzEthYWHh//zzT0jO31955ZUa+R/l4hLT7BX+i00O90zmsSeOc9+tIxjSqzM3DOjOpHGjOXumaPMHRE2byrVXXka7BlXYtX3reevW/LaMmwf14YYB3bltyAB279ia6zGOHj5Eh0bVsudCHjmwJ4djDuS7LqcPpr9Km56Dg664bjQHj5ybQ33Mw8+wZt3mIr0/L1UVWIDNUqxzQgpj7d69Oyhnea9Xr17bP//8M+Ri++QlMc1ecW9sUnhhk/nendu5c8Qgru/dheH9rmTa5PtJT0vLXt+uQRVG9O+WXR43/v1nrsdZMP9Luoc3zN5u7MjB562fNeM1Irp3IKJ7B97+3/O5HsNut/Pw2Fu58eoePHLP7TgcDgAy0tO5c8QgEuPjC/PWfF1WuZ9sdCAlyacT+qxZs2pMnTr1+K5du3Z06dIlzfP32NjYgNmzZxc5oZ9Ozqh28Exqi5wDRZjNZsY99CgLV63j21/XUL9hI958YVqRzjFg0BDmfP8zdeufP294Ynw8jz84jufffI9vf13DpCef5fEHxl30OOUrVMgeLnb+0tXZwz7mty5LclIi0T/MZ/PKHzMn3DGSt2frj3H/+vtaQkPK0b1z+yK9Py+mgBewWb7EZrmkQeaFd9i7d2/wpZT3LJqmcSIhrfbBMyktnC4tICsJFlRQuXI8/sIrLFj5D9/88gdpqal88v6M87b55Lufs8vj5V27XfRYna/smb3dx/PPNShtWLuGnxd+xze//sEPK9by56oV/L586QX7/7lqOZUqV+GbX/6gYiULa1YuA2DWjFe5acw9VKpcuVDvzQ+YgNewWWZhs/jcAEAF4bMJfcyYMQ3Wr19f4bnnnqvXoUOHsJy/P/DAAw1jYmLKhYWFhfft27cZ6FfsDz74YN0OHTqE1a5d+7JXXnmlxowZM6q1b98+rF69em1nzZpVRdM0jsan1bvj9tusNw3qrW4Y0J377xjJ6diTAFSrUZPLu1yZHUfbDp04duRQkd5Dxyu6U6vOhbd0Dx88gKVKVZq1bAXA5V27ceLYUXZu3VKk8+THZDbjcjqx2x3uec0DSE1L4/npHxL1xAMlck4vcTPwOzZLqUwhJS7dd999Vyk8PLxVixYtwjt37txyw4YN5QByK+8A8+fPr5JVvqdMmVIna/mhQ4cCBg0a1KRt27atWrRoEf7ggw/WdWmaOngmtXHHNi3rvfHSM9xyXT+efmR8oeJr1LgpLVq1AfSL/zbtOnDscNG+Hy5m6aIfuG74SEJDyxMUHMzQUbfy84LvLtguICCQ9DR9ALX0tFQCA4PYs3MbB/btZeDgYcUak4+5B1iCzVIl3y19jM8m9Dlz5hxu06ZNalRU1OFNmzbtyvn722+/fchqtabv2rVrx4oVK/7L2i8lJcW8adOmXcuWLds9bdq0BkePHg3avHnzri+//HLf1KlTGx48k9r4THJG7cdsL/PVT7/x7a9r6NDlSt5/M+qCGJxOJ1/P+ZDeVw8q1vfWsHETEuLOsnn93wCs/OUnUpKTOHqRC4e01FRuiejLqGt7MXP6KzidzgKtyxIaWp7b75lAt0E3BS34ZSUP3X0L016dyeR7bz9v5jU/1RlYh83S2ehARN6OHj0aMHbs2CZz5syJ2bNnz4677rrr1MiRI5u6XC4uVt7j4+PNmzdv3rV+/fqd77//fq0DBw4EAtxyyy2NJ06cGLt169ad27dv37Fp06byb836tFXWs+UJcXF8sWgZL7vnSSiK1NQUvv/68wu+H8bdfD03Xt2DV599ktTUi49UvGndWkYO7MnooVfzy+Ifs5cfP3aEup5znDdoyIlc5ji/8qo+lK9QkRuv7kGFSpXo0v0qXnvuKaY++3KR35Mf6Qus9beJXspcr81bbrnlLOiTLwQFBbluvvnmOIArunXPTExMDDhy8nTVShYLP//4LYu/m0dGRjqZGRlUzjGhgaZpvPjkZCpaKnPr2PuKNcaKlSy89sGnvBX1HKmpKVx2eWeatAgjwHzhpG81atbil3U7qFa9BglxcUyZeBefzXqHO8c/lOe6nEbdcTfP3z0o0+TMCN7w7w6OHD/JNb27MfGJl4k9HUfPrh14cOzNxfo+vUhd9Jr6zdgSfjQ6GJG7VatWlW/RokValy5d0gDGjx9/dsqUKQ2zknRubr/99rMAderUcdSvXz9zz549wdWqVXOuXbu20uTJkwMnT54MoFLTM4L/++8/1de935Abbz5vOtXCsmdmMmXCXVx5VR/6XXtd9vIla/+lTr0GpKam8MLjk3jzhWk8+dLrF+x/Vf+BXD14KCEhoezfu5v7bh1O7br1uOzygl93mkwmnnnlXHP/3I/ep8/AQTgcTiLvv5vMzExG3XE3w/t0KvL79HEt0JP6CGwJK40Opjj4bA29qEJCQrLnMzebzVpoaKgr3e4M3n86NUwphdPpYOM/f/Hl7A9457P5fL/8Lx6d9gKZGeePfBk1bSonjx3l1fdmYzLl/jGOHno1Iwf25NbB/QsdZ5duPZn9bTRf/7SSR59+gVMnj9OkedgF2wUFB1Otun7r0FKlCkNH3srGf/7Kd93FOBwOHn1uOtOffZS53/9EjWpV+GbWK/zw82/sP3hhLcCPlAO+wWYZZXQgovjkLO92uz17uOuNGzfu3LR1+74ffvvHtPiPTWrcQ49m7xdaPveWqX17dmV3VHvpyUdz3cZut/PYhLuoUbM2U589v2WvjrtmHRpanlGjx160PFapWo2QEH14+CbNW9Kj7wA2rdNb7OrUrc+xo+eGWT12+BC169XP83M4duQQq1f8yqjRd/Puay8y4tYxPP/Gu0RNm5rnfmVAVeAXbJY7jA6kOPhtQq9cubIzKSkpz/nPATKdrqD9p1Jaej5fnpgQT/kKFahcpSr2zEy+/WLOeftETZvK4Zj9vPnhXAKDgi567M9+/IX5S1fzxaJlhY7/1MkT2f+eNeNVunS7ioaNm1yw3ZnTp7C75xvPzMhg+ZLFhLW+LN91F/P6B3O5Zdg11K5ZPXtecwClICU1Lc99/UAA8AU2y2ijAxEX6t27d8qePXtC1q1bVw5g1qxZVWrVqmVv3LixvaDlHcBisbi6dOmS+PiTTzfcfyo5zO50BcWeOH7evOIX07RFWHZHtSdefO2C9Q6Hg6kTx2KpXIVp/5t+Xi0/MT6eNPc9bZfLxdJFPxDWJvfyePL4uSdNzpyKZd2a1dnbDrhuKIu/n09qagqZGRn8OO8LrhkyPM+4X3nmcR575kVMJhNpqakoFMpkIj2PJv8yJBD4BJtlrNGBXKpLeA7d+54b9dS1a9fUFi1apDVv3rx1gwYNMjzvq3lQxxMdTWpXOr8ne/fe/Yn+/huu79UZS5WqXNGjF7EnjgP6fa2vPplF42YtuG2IXvOu26AR0z+aW+gYn4t8mNXLf+XMqZOMv20E5ctXYPEfGwF47/WX2fjPXzgdDi7r2Bnbq29n7/fuay9Ro1ZtRt5+F5vWreW9117C7J67vEu3ntzzwOTsWC+2Ljf/HTikVv61np8+18912/BBDLt7Mt8sXkb3Tu1o28qvbjddjBmYg80SjC2h6DdQ/ZWB5b5u3bqOjz76aP8dd9zR2OFwKIvF4pw3b94+k8lU0PKe7bMvvj7x8ORHm1/f5wqllCIktDxPR72RayfVwli66HuW/7yIFq1aM+qaqwBo36krT7z4Ggf27eH5yEdQSuFwOmnV5jKm2s7V4CeOvpEJk5+gdbsOzPv0I3779WcCAwJwuVzcdvd4unbXj9f5yh4MHDyMGwZ0B2Dg4GH06n/NRWP66YdvaBHeJruT7V0THua5qQ9ht9u556HHLun9+hEFfIjNAraEj40OpqjK7Gxr6XZn0IHTKS3tTtfFq9hljB/NtlYcNOAhbAlv57uln/LHcg+Qmukod+B0SksZ+U3nR7OtFQcNGIct4SOjAykKv21yz0uGJHORPwW8hc3yiNGBiOKTZncGSzIXeVDow8XeanQgRVHmEnqG3Rm0X5K5KLjXsVn8tnt/WZJudwYdOCXJXORLod92G2J0IIVVphK6w+kyHzid0kKSuSiErMLdN98t/Y8L0DRNK/rzW14i0+EKPHA6pWXOkR/Fpcm+Y1uAW7c+JgCY72vlvsxcqbo0TcWcSW0qc5iLIggCvsdmuQpbwr9GB1OKjrlcroTY2NhaNWvWPKuU8slvbZdLU4fj0hpnyoV8rjKV3ZTuLPx/rabBqRQnKiORwPSizWfh5YLRx3/viS1hs9HBFESZSeiHz6Y2lBnTxCWwAD9hs1yJLcEvev/kp2PHjskbNmy4Lz4+fmZiYqIFvbXC5ySku2pkOLUiTdJSFmSa083xrqQi7asyEqm/+XXMTr/pM5lTBeAHbJaO2BLOGh1Mfoqc0Nt+2rbEpk/desfWYn005kRCeq2ENHv14jymKJPqoY8B3QNbQpzRwZSGjh07rt2wYUMPl8tVFx+8RffsqrP3n0lzTjQ6Dm82OvC37XeYoi8v9I6aRmD6aX9O5lmswFfYLNdiS3Dlt7GR/LKGvnv37qAFCxZYpkyZciouJbNybFJ6/WuvvIw3P/qCsNZtSzWWVcuW8MYL03A5nTQLC+f5N96lQsVKF2zncrn43zOR/LHiV5RS3Hr3fdw8Zly+6zwlxsfzyLjbiT97hsu7XJk9pOTZM6d57L4xzPzyBwID5RbiJQpHH3wmAluCTzZBF1bHjh2TgT1Gx1FY1sjokcAEo+Pwdsnm02nlAstEo9OluBp4EXjc6EDy4nNX3AWRNZViSoYj9Gh82oXzhRZRYadSTE1JxvbYg0z/aC6LVm+gRq3azJrxaq7bRn8/n/17d7Pw9/V8sWg5n858m/9278x33XnH+HE+nbv15Ltlf3Jg31727toBwGvPPclDjz8jybz4XIuXF+yyzhoZ3QmYg4/eJhBeKRKbJe8h+Qzm0wk9v6kUO17eIez+MTdlv8flPy/i9uuv5tpu7Zg149ywjadjT/LY+Du55bp+jOjfjXdeeSF73bVXXsabRZxK8Y/flhHW+jIaN2sBwKjRY/l5wfe5brt00fcMv3k0ZrMZS5UqDBw8jCXuKRHzWucpa7pEl8uFPTODwKAg1vy2jEqWyoWa1EEUyHPYLL2MDkJcyBoZXRn4DpD75qK4zcFmaWV0EBfjswk936kUmzRzzV+6Wr31yVfZ+yQlJvD5gl/4cvEKPv3grezxkp96ZAKjRt/Nl4uXM2/J72z/d/N50xUWdSrF40ePUKf+uUkT6jZoyOnYE7nW9I8fPULd+h5TItZvyPFjR/Jd5yli+EgOxxxg1DVX0bVHb2rWrsOHb7/OA1OeKlTcokDM6PfVahkdiLjATKCh0UEIv1QRvZPchfdNvYDP3kPPayrFFAcWlLpgooZBQ28A9JmM6jW0cvTwQSpaLPyzZhVnT8dmb5eakkLMvnNDQV/qVIqlJTS0PK9/8Gn276/anuDOCQ9xKOYAH7/zBgD3PDiZluGl24/Aj9UBvsRmGeDtnWXKCmtk9B2AzJgnSlJL4DNslmHe1o/GZxP6xWQ6tOAUOzVyWxcUXC7732aTGafTmT0gwucLfiW4XLncdstzKsXHH7gHODcBg6c69eqzdvXK7N+PHT5E9Zq1CQi48GOvU68+x44cpl3HLvq2Rw5Rp279fNddzNZNGzh75hS9+l/DmOHX8uKMD9A0jWmTJjD72+g89xWF0hewAdMMjqPMs0ZGNwXeMToOUSZcD4wFvGrMd59tcr/YVIomS80G5StUNCUlJRboOKHlK9C5W09mvzc9e1lxTaXYvXc/dm7bwoH/9A7C8z77+KLTHA6IGMr3X32G0+kkIS6OpYt+YODgYfmuy43dbmf6yzYenfYiAGlpqSgFJpMiVaZLLAlPYLN0MjqIsswaGR0AfIn+3LAQpeFVbJbaRgfhqcg19OJ+VrywcptKceanXyZlOFw1mrdqTdMWYQzvdyX1G1rxvI+em5femsVrzz3J8H5XUpxTKZavUBHbKzN4+O7bcDocNGvZiufffC97/ciBPXnn0/nUrF2H60aMYvuWjQy+qiMKxe33TKR5q9YAea7Lzacz32LwiJuoVqMmABMmP87EO/RWyElPPntJ70nkygx8jM3SCVuC3ehgyqhpQBejgxBlSmX0FqEbDI4jm99Mn5qS4QjZfyo53KtuaPgYmT71kj2FLeFFo4Moa6yR0eHAZkCeyyyCB8zfr5kc+G13o+PwYcOwJfxodBDgw03unjRN41h8WiNJ5sJgT2OzhBkdRBn0HpLMhXHexWaxGB0E+ElCP5OSWS3N7ixvdByizAsGPsJm8f5HIvyENTL6dkDGAxBGqgv8z+ggoOAJ3QV6TdjbOJwu88nE9Ly7fAuv4sdTLgJ0R4YbLRXuAWRyH3pRiNI1Dpulp9FBFDShx2ua5sjMzPS66QePJaTXc7o0v3v8zp9lugCXA7O9aDM8+YAXsFmqGh1EGfAiIAP7CG+ggA+xWQydnrugifC0y+VadfLkyYjAwEC7yWTyiqpVqt1ZLi4xLddnzkXhpeNSJlfJ/te6NDiVkE5o7EYCMgv2aKEPqgw8CUw2OA6/ZY2M7gDcZ3QcQnhoif43OcOoAArUyx1gw4YN9Uwm0w8mk6kGXjLhQVyas47dhde1GviquqY4h0lzlHBrh4Yp7SyN/3maoPTTJXsqY2UALbElHDQ6EH9kjYz+GbjG6Dj8gfRyL1YngCbYEtKMOHmBv7w7dux41D0vcsPC7FdS3lmX0HvPmcz3jY7DnywKfvpIKGnWEj2Jy0lQWiwmrXAz1/mgYOB5YLTRgfgba2R0dySZC+9UGxgPvGHEyQuVmDt27JgJ/JfvhqXgt2+i5xodg78plxmTWU5lGh2GP7kVm+V1bAlbjA7EzzxvdABC5GEqNstMbAmppX1in3xszRoZPQToaHQcQuTDhJc8zuIvrJHRfYA+RschRB5qAvcbcWKfTOjAM0YHIEQBDZR504uV1M6FL3gMm6XU5xXwuYRujYy+Hrjc6DiEKIRHjQ7AH1gjo69Bf85fCG9XHXiwtE/qUwndGhmtkNq58D0R2CwtjQ7CD0w1OgAhCmEyNkul0jyhTyV09J6tHYwOQohCUsAjRgfhy6yR0e2A3kbHIUQhVKWUR430tYQ+3ugAhCii0dgs1YwOwoc9bHQAQhTBvdgspZZnfSahWyOjGwCDjI5DiCIKQS5Ii8QaGV0NuMnoOIQoAiulOGaCzyR04B7AbHQQQlyCiUaP9eyj7gTKGR2EEEVUakMU+0RCt0ZGBwBjjY5DiEtUGxhhdBC+xN0R9l6j4xDiEgzCZmlQGifyiYQOXI8+56wQvu4OowPwMb2AZkYHIcQlMFNKQ0D7SkKXWZWEv+iPzVLP6CB8iNw7F/7g9tI4idcndGtkdEOgn9FxCFEcNA37P66W1xsdhy+wRkabkVsUwj+0xGbpWtInMXzWtAK4ES+ZrlWIotA0XGep+O/nzgFJHzuuvSyJ8uNi4D2j4/IBfdFH3BLCH4wG/i7JE3h9DR09oQvhc1K14N1fOfqs6p7x1smOGR+0n+64oWcS5S1AO2tkdJjR8fmAUUYHIEQxGlnSz6R7dQ3d3dxe4s0UQhQXh2Y6stLV7r83HTfU3641bglcbMjXUcCzpRiaT7FGRgcCw4yOQ4hiVB19HpL1JXUCr07owFCjAxAiPy6NuC1as20zHMMtK13t2oKqX4DdRiAJPS/90YfOFMKfDKQMJ/TBRgcgRG40jfQYrfam952DzT84e7a3E9CzkIdoa42Mrh0TFXGiRAL0fTIqpPBHVwMvltTBvTahWyOjK6E/gyqEV9A0XGeotPkzx9Wps53XXJZM6JWXeMj+wNziiM0P9TU6ACFKwJXYLBWxJSSVxMG9NqGjX8kEGh2EECla8M4fnD1i33UMbXmcapcX46EHIAn9AtbI6DpAuNFxCFECAoE+wMKSOLg3J/SrjA5AlF12zXx4hav9/jcdNzbYpTVsBbQqgdP0L4Fj+gOpnQt/djVlMKF3NzoAUba4NHVmo9Z8+wzH8CqrXZe1BUp6/OW61sjo1jFREdtL+Dy+RhK68GcDS+rAXpnQrZHRFYB2Rsch/J+mkbZfq7PpfeeQgB+d3Ts4CCjtlqEBgCT088nIkMKfNcNmaYwt4UBxH9grEzpwBTJVqighmobzFJbNnzoGps9xDmyXQkg3A8PpD0w38PxexRoZbQUaGR2HECWsH/BRcR/UWxO6NLeLYpesldvxnfOqU+85hrQ6SdWORsfj5i1xeIvi7HQohLe6rCQO6q0JvYfRAQj/YNfMB391dTww3TGi0R6tgTf2nK5tjYyuFRMVcdLoQLyE3GoTZUHrkjio1yV09wxLVxgdh/BdLk2dXq+12D7DMaLaGlebNnh/E257YKnRQXgJSeiiLGhTEgf1uoQONAEqGB2E8C2aRup/Wt1N7zmuD17o6tbeidmXBiVqjyT0LJLQRVlQE5ulBraEU8V5UG9M6C2MDkD4Bk3DGUvlTbMd12Z87hzQPpVyvtr3QpIY2aNDentrihDFpTWwsjgP6I0J/WKzUwkBQJIWsv0bZ6/T7zmGhJ+mciej4ykG7Y0OwEtcBiijgxCilLShDCR0qaGLC2RqATG/uDrGvOm4ofE+rV6JdCgxUAtrZHRITFREmtGBGMzf/l+FyEux/717Y0KXGroAwKmpU+u0sJ1v2kdU/1sLDwesRsdUQszofUfK+gAzDY0OQIhSVOwd47wxoUsNvQzTNJL3aPW3vOMYGhztuqKDC1NZGdO/HpLQ6xkdgBClyL9r6O4hX+saHYcoXZqG4wRVN812XGuf6+zfPo1gX+3cdinqGx2AF5DPQJQlVbBZymFLSC+uA3pVQkdvdhRlRKIWunW+s3fc+47B4WewdDY6HoNJ7VQSuih7qgLHiutg3pbQqxsdgChZGVrAgSWuzoemO0Y0PqDVbWt0PF5EErp8BqLs8euEXtXoAETxc2oqdq0rfOd0x4ia67SwVkBjo2PyQmU6mVkjoy3IgFKi7KlSnAeThC5KhKaRtEtruOUdx9CQn11d2rsw+dLIbUYo0wkdqGl0AEIYoFhzniR0UWw0Dfsxqm362DHI8aWzb4d0gmWSnYKrY3QABgs1OgAhDCA1dOE9NA0tkfLbvnL2ifvAcV2bOCp1MTomH1XR6AAMFmJ0AEIYQGrownjpWuC+n1xdD89wDG92UKstndsuXVmvoZb19y/KJr9O6MXa/CCKl1NTJ/50tdn9pmNE7Y1ai5ZAU6Nj8iOqjA//KjV0URb5dZO7FGovo2kk7tAa/fu2Y1j5pa5O7TRMtY2OyY+FAJLQhSg7ivVWm7cldJlpyQtoGplHqb55liPCOc/Zp0MGQdK5rXSYjQ7AQJLQRVnkLM6DSUIX2XZqjU6sdbY6OctxXdsEKkjnttJXlhN6WX7vhprpHNL5K2ff0yEqMzOEjMwQMu0hKt0eSoYjlAxHqEp3VCDdGUq6K1RluEJJ10LJ0EJVBiHor3IqU5Uj0xyM3RSs7OZAHOZAHAGBOAPMOAPNuALNuIJMaMEKLQgopxRBRr93L+AozoN5W0IXBhqR+WxZmQjFW5XlpFZWbzUYzk5A0GkqV0fzWKhddPNipGnlyMwIxp4RQmZ6iMpwX1Bk2EOV+2KCdEeoynCWJ90ZqtKd5UnXQkn3uJjIJERlqHJkqmDspnJkmoPUeRcTAQE4A024gsxogQpXOQXB6BcUptJ4l/nw64RerM0PQviYsvz3n2p0AKK0KZVOcLl0gsslgKW0LygCcDiCsaeXIzPD3TqREUrGBa0ToWQ4y59rnXCVJ50crROmYOwqmExTMHZzkHIE5NY6odCCTHrrRIhH64RfN7lnGh2AEAZKMjoAA0lCF6XKQUCAg4AKKYRUMKp1IhBn0tZiPKokdCG8gzMmKiLF6CAMJE3uogzJap0o3pznDfcQPBXbvLBC+JhkowMwmNTQRVlUrOXe2xL6aaMDEMIgZbm5HSShi7LJrxP6SaMDEMIgiUYHYLA4owMQwgDHi/Ng3pbQY40OQAiDlOkaekxUxCkgw+g4hChlR4vzYN6W0KWGLsqqsl5DBzhidABClDK/TuhSQxdl1WGjA/AC8hmIssRJMVdivS2hSw1dlFX7jQ7AC0gNXZQlJ2KiIop1YBlvS+hSQxdllSR0qaGLsqVYm9vByxJ6TFREJsXc608IHyEJXWroomwp9gtYr0robtuNDkAIA0hCh71GByBEKdpW3AeUhC6E8ZLdj22VdcX+BSeEF/u3uA8oCV0I4x0wOgBvEBMVcRw4Y3QcQpQSSehC+KGdRgfgRYpz8ikhvFUysK+4DyoJXQjj/W10AF5ko9EBCFEKtsVERRT7RK1el9BjoiISKIHu/EJ4sX+MDsCLbDA6ACFKQbE3t4MXJnS3EnmzQnghB5LEPMlnIcqCEvk799aEvtroAIQoJVtjoiLSjA7Ci+xBBpgS/m9lSRzUWxP6SqMDEKKUSHO7B/d9xRVGxyFECToSExWxpyQO7K0JfR2QYnQQQpQC6RB3oWVGByBECfqtpA7slQk9JirCAawxOg4hSsFaowPwQpLQhT8rWwndrcTetBBe4khMVIQ8g55DTFTEQUrgGV0hvESJ3VLy5oS+0ugAhChhS4wOwItJLV34o/3uC9YS4c0JfT36aDpC+KufjQ7Ai/1qdABClIDokjy41yZ09330pUbHIUQJyURqoXlZAqQaHYQQxWx+SR7caxO623dGByBECfktJioi0eggvFVMVEQKsMjoOIQoRkcp4c7e3p7QFwMZRgchRAlYYHQAPuBrowMQohh9WxLjt3vy6oQeExWRhNxLE/5HQxJ6QfwMJBgdhBDFpESb28HLE7rbV0YHIEQxWxETFXHM6CC8XUxURAbwo9FxCFEMDgN/lfRJfCGhL0A6xwj/8rHRAfiQeUYHIEQxmF/Sze3gAwnd3TlmodFxCFFM4oAfjA7Ch/wKSGuG8GUa8EFpnMjrE7rbR0YHIEQx+SImKiLd6CB8hfvx1ZlGxyHEJfglJipib2mcyCcSekxUxHJgh9FxCFEMpLm98D5AnnYRvuvd0jqRTyR0t3eMDkCIS7QpJipis9FB+JqYqIhY5F668E0xlPDocJ58KaF/hjzCInyb1M6L7m2jAxCiCN6PiYpwldbJfCahuzvHzTY6DiGK6CzwqdFB+KqYqIj1lMJjP0IUo3RK+SLeZxK627tAqV3tCFGM3oqJipDJhi7NdKMDEKIQPo6JijhTmif0qYQeExWxD/jJ6DiEKKQk4C2jg/AD3wLbjA5CiAJIB14q7ZP6VEJ3K/UPSYhLNDMmKiLO6CB8nfte5DNGxyFEAXxgxGiQPpfQY6Ii/qIUew0KcYnSgTeMDsJfxERFfA9sNDoOIfKQCrxsxIl9LqG7PYk++o4Q3u7jmKiIE0YH4WeeNjoAIfLwXkxUxEkjTuyTCT0mKmILpTBzjRCXyA68YnQQ/iYmKuIn4E+j4xAiF8nA/4w6uU8mdLenAYfRQQiRhxkxURGHjA7CTz1pdABC5OK1mKiI00ad3GcTunts3DlGxyHERZwEnjc6CH8VExWxEvjG6DiE8LAPA2vn4MMJ3e1Z9E5HQnibJ2KiIhKNDsLPPYz+SKAQ3uBBoyde8umEHhMVcQSpBQnvsx74xOgg/J37saBpRschBPCju2+HoXw6obu9igw2IbyHhn6lLk9hlI63gc1GByHKtFT01iLD+XxCj4mKsAP3Io+xCe/wpXusBFEKYqIinMB4pPwL47wYExVx0OggwA8SOkBMVMSf6HMmC2GkeGCK0UGUNTFREWuR8i+M8S/wmtFBZPGLhO4WCRw3OghRpj1kxHCPAoBHgT1GByHKlAzgtpioiEyjA8niNwk9JioiAXjI6DhEmbUwJiriM6ODKKvc0yvfDHjNl6vwe0/HREVsNToIT36T0AFioiK+QZ5NFaXvNHo/DmGgmKiIjcBTRschyoQVwOtGB5GTXyV0t3GAV3RQEGXG3TJeu9d4DVhmdBDCr50GbnfP/udV/C6hx0RFxAO3Ak6DQxFlw6yYqIgFRgchdO7HBUejf+kKUdw04C5v7SvjdwkdICYqYg0y4IQoeTuAR4wOQpwvJiriOHAbclEvit/zMVERi4wO4mL8MqG7vQwYPnKP8FtxwPUxURGpRgciLhQTFbEUvee7EMXlW8BmdBB5UZrmv+MxWCOjqwIbgUZGxyL8ihO4NiYq4lejAxF5s0ZGf4Der0aIS7EZ6O7tF/D+XEMnJiriLDAcSDE6FuFXHpNk7jPuB1YaHYTwaSeBId6ezMHPa+hZrJHRg4CFgNnoWITP+zQmKmKM0UGIgnO31P0NNDM6FuFzMoA+vjKcs1/X0LO4Z8EZb3QcwuetRZ439znulrrB6P0ehCgoF3CHryRzKCMJHSAmKuJD4CWj4xA+KwYYHhMVkWF0IKLwYqIidgHXAMlGxyJ8goY+vsQ8owMpjDLR5O7JGhn9OfojLUIU1FGgZ0xUxAGjAxGXxhoZ3Rv96ZcQg0MR3u3+mKiId40OorDKTA3dw13ow/YJURCxQD9J5v4hJipiJXpHWWlpERcz1ReTOZTBhO6eP/16YJXRsQivFwcMiImK2G10IKL4xERFLAGGIUldXOi5mKiIV4wOoqjKXEIHiImKSAYGIWM+i4tLAq6JiYr41+hARPGLiYr4GRgBpBsdi/Aaz8VERTxjdBCXoszdQ/dkjYwuB3wPXGt0LMKrpKIn89VGByJKljUyujuwCKhidCzCMC5gYkxUxEyjA7lUZTqhA1gjo4PQp1wdYnQswiucBgbHREWsNToQUTqskdGtgCVAQ6NjEaUuHbglJiriB6MDKQ5lPqEDWCOjA4Gv0JvgRNl1AL1mvsfoQETpskZG10Xv/d7O6FhEqYlHn4/hd6MDKS5l8h56Tu6OcjcBHxgdizDMJqCbJPOyyT0d5lXIEzBlxVHgKn9K5iA19AtYI6PvB6Yjw8SWJb8CI2KiIpKMDkQYy30L7m1kQhd/9jswKiYq4oTRgRQ3Sei5sEZGDwDmA5UNDkWUvLnAXe5WGiEAsEZGjwbeB0KNjkUUqzfQnzN3GB1ISZCEfhHWyOgW6L1fWxgdiygRTuDxmKiIV40ORHgna2R0W/Q5sOU7wPclo1+4f2N0ICVJEnoerJHRldFr6gMMDkUUr1j0JreVRgcivJs1MroiMBu4wehYRJHtRJ+HYZfRgZQ0Sej5sEZGm4FngCeRToT+4Hf0x1SOGh2I8B3WyOgHgP8hY8D7Eg2YCUxxDybm9yShF5A1MroX+v3W+kbHIorEBbyAPhqU0+hghO+xRkY3Az4Cehkdi8hXDDA2JiqiTD21IAm9EKyR0VWB94BRRsciCuUgcGdMVMRvRgcifJs1MloBE4AooILB4YgLaeiPHz9WVmrlniShF4E1Mvom4F2gqtGxiDy50B9BejImKiLF6GCE/7BGRjcCPkT613iTg+gd38pUrdyTJPQiskZG10FPFjK6nHfaBtwdExXxt9GBCP/lfrztJaCe0bGUYSnAK8BrMVERqUYHYyRJ6JfIGhndH3gLaGV0LALQp8R8EYiSZ8tFabBGRocCk4GpQHmDwylLNOAz4An3SH9lniT0YuAeC/4hYBpQ0eBwyrLf0GdN2ml0IKLssUZG1waeB+5CnogpaX8Aj8RERaw3OhBvIgm9GLmb4V8BbjM6ljJmMxAZExWx1OhAhHAPSBMFDDI6Fj+0GXg+Jirie6MD8UaS0EuANTL6SuBZpMNMSdsPPAV8HRMVIX/IwqtYI6PbAVPQn4qRuSEuzWrgpZioiCVGB+LNJKGXIGtk9BXA08iVenE7id60OUvukwtvZ42MtqLfYx+LDExTWNHAyzFREWuMDsQXSEIvBdbI6I7o99eHGB2Lj9uH/mTBx2XxGVPh26yR0dWB+4G7kV7xeUkBvgLeiYmK2GJ0ML5EEnopcjfBRQLDgSCDw/ElK9GntF0UExXhMjYUIS6NezjpAcCdwPVAsLEReY0N6CPxfSFTGReNJHQDuK/U7wDuAVoaHI63ykC/Sp8uV+nCX7lHn7wFPblfbnA4RjgOfAF8GhMVsc3oYHydJHSDWSOjr0JP7DcA5QwOxxtsRh8zf25MVMRJg2MRotRYI6NbAoOB64DuQICxEZWYrcBC92uddGgtPpLQvYQ1MroKcDN6Yr+KstUrdh/wDXpTm1ylizLPPXXzNegJ/hp8e5jpTPRe6guBhTFRETHGhuO/JKF7IXeT/PXuVz8g1NiIip2GPjTrYuCbmKiITQbHI4TXct9zbwf0cL+uxLtnfTwJ/AX86X6tj4mKyDA2pLJBErqXs0ZGlwN6oz/61hNoi2/W3vcBK4DlwG8xURGxBscjhM9yj0rXGeiEPux0M6A5pTsDXCZ6ud4D7EZvSv8rJipiXynGIDxIQvcx1sjoCugF+Ur36wqguqFBXSgD2AH8C/wOLI+JijhobEhC+D93om/ufjUFaqA311cFqnj8O6/E7wDOAmeA0+5X1r9PAHvRE3hMTFSEs0TeiCgSSeh+wBoZ3Qxoj36VnnWl3gyoA6gSPLUDOIx+Zf6v++dWYI8UdCG8lzUy2oT+3aC5X0jnNN8nCd2PuWeBago0AaoBFqCyxyvr9xD0Qu1y/3QA6e5XGhCLfmV+PMfrtDwXLoQQ3kESuhBCCOEHZIo/IYQQwg9IQhdCCCH8gCR0IYQQwg9IQhdCCCH8gCR0IYQQwg9IQhdCCCH8gCR0IYQQwg9IQhdCCCH8gCR0IYQQwg9IQhdCCCH8gCR0IYQQwg9IQhdCCCH8gCR0IYQQwg9IQhdCCCH8gCR0IYQQwg9IQhdCCCH8gCR0IYQQwg9IQhdCCCH8gCR0IYQQwg9IQhdCCCH8gCR0IYQQwg9IQhdCCCH8gCR0IYQQwg9IQhdCCCH8gCR0IYQQwg9IQhdCCCH8gCR0kS+llFUppSmlxhgdixBliVKqs1LqT6VUirsMtldKXaOU2qyUSncvq2x0nMI7BBgdgBBCiAsppQKBb4B04BEgFTgM/A5sByYCGUCKUuoJYIemaT8aFGs14C5gMNAKCAR2AW9qmjbPiJjKIknoQgjhnZoCjYB7NE37CEApdQ1QEXha07RlWRu6E/q3wI8GxAlwJfAi8BPwAuAARgBfK6XCNU17xqC4yhRJ6EII4Z1qun/G57PMG2wHmmuadjBrgVLqPWAZMFUp9YqmaSmGRVdGyD10L6eU6q2UWu++X7ZPKXWvUsqmlNI8trlTKbVCKRWrlMpQSu1QSo3P5VidlFJLlVKnlVJpSqkDSqnZObaprJSao5RKUErFK6U+BSpfJLYwpdS3Sqmz7vjWK6WG5DifppS6I5d9B7rXXXcpn48Q/kgpNQdY5f71G3dZWQl86l62zr1sjvu7oDxwh3uZ5t6frO8KpVQLpdRcd7k+pZR6XukaKKUWKKUSlVInlFKTc8QRpJR6Tim1wb1vilJqtVKqj+d2mqYd8Ezm7mUaeotBMNCkWD8gkSupoXsxpVQHYAlwHHgGMAPTgFM5Nh2PfoW8EL2pazDwnlLKpGnau+5j1QR+ce8bhX6FbwWGe5xPAQuAHsBMYCcwjHNfIp6xtQbWAEfdx0sBRgI/KqVGaJr2g6Zp65VS+93Lcx5jFBAHLC3kxyJEWfABetl6AngLWAecBHYD49C/Bw4A+9BrwR8B/wCz3Pvvy3G8eejlORKIAJ4CzgL3AiuAqcCtwGtKqXWapv3u3q8ScDfwFfAhenP/WGCpUqqLpmmb83kftd0/Txf8rYsi0zRNXl76Qk/QKUBdj2XNADvuC2D3spBc9l0C7PP4fSigAZ3yON/17m0e81hmRu+EowFjPJYvA/4Fgj2WKfQkv8dj2UtAJlDFY1kQejL/2OjPWF7y8tYX0Ntd7m7wWDYmt3IMJANzcjmGzb39Bx7LzOid61zAVI/lldE73s3JsW1QjmNWBk7kV36BqugXIb8b/VmWlZc0uXsppZQZ6A/8qGnasazlmqb9B/zsua2maWke+1mUUtXRm+uaKKUs7lXx7p/XuXvP5mYQeg3/fY9jO4G3c8RWFegLzAcqKqWqu89ZDb3G3VwpVc+9+Tz0Hq/DPQ5xNfqXgvR+FaJ0fJT1D3eZXo9+Af6xx/J49BaAJp7bapqWCaCUMrnLfoB7/8svdjKllAn4Ar2cP1CM70PkQRK696oJhAD/5bLuvGVKqe5KqWVKqRT0xH0KvWYMkJXQVwHfoTfdn3bfN7tTKRXscahGwHFN05JznG93jt+boX8ZPO8+l+frWY/40TRtC/rjK6M89h+F3gS3Itd3LoQobody/J4ApGualrMpPAGo4rlAKXWHUupf9MfnzqCX8wjOfbfk5m3gGuBu93eAKAVyD93HKaWaAsvRk+Yk9Ka0TPTa9iO4L9o0vQ3sBqXUFej32AcCs4HJSqkrckniecm6EHyNi98D97zomAc86a7FJwFDgK80TXMU4pxCiKJzFnAZ6Bfr+j+Uug2Yg9657VUg1r3f4+iP1V24s1LPABOASE3TPi9yxKLQJKF7r1j0K+JmuazzXDYYvRfpEE3Tsq/Cc/ZCzaJp2lpgLXqCvQW9Wewm9Ca5g0A/pVSFHAm+ZY7D7Hf/tGsez8LmYR56y8AI9HtqlYCvC7CfEKJgtPw3KZIb0Mv7cHelAACl1LO5bayUmoh+3366pmn/K6GYxEVIk7uXct/nWgYMVUrVzVqulGoGXOuxadZVtudVtQW40/N4Sqkq7l7snja7f2Y1u/+EfpE33mM/MznugWmaFgusBO5VStXJGbtSqkaO7XcCW9Gb2keh99r/Ped+QogiS+Eij5deoty+X7qiDyRzHqXUKPQe+V+gtxaKUiY1dO9mQ+9AtkYp9T56j9P7gW1Ae/c2v6A3sS9SSn0AVADuQa/heybbO4AJSqkf0B9pqejeLhE9kQMsQu+lHqWUsgI70Duz5XavbCLwB7BVKfUh+lV8LfSCXh9ol2P7ecBz6K0OH2ua5irUJyGEyMsGoL9SahJwDDigadrfxXDcxejfAT8opaKBxsB96N8NFbI2Ukp1AT5Dv8e+HLg1R/3hT03T9iNKlCR0L6Zp2gal1LXo96qfR78/Pg19rOQw9za7lVI3oA+3+Br64yTvo3dc8Rw0ZhXQBb15vRZ655d/gFs1TTvgPpbLPTDMdOA29Ga8hcBkYFOO2HYopTqhN6WPQe/hHuve7rlc3s48d4yhSO92IYrbJPRn0F9A70z7KVAcCX0O+rPk96L3u9mB/t1wI/pjdVnC0R9HrcH53ztZ7uTcrTpRQpTHbRHhI5RSPwKtNU1rbnQsQgghvIPcQ/dySqmQHL83R+/BvtKQgIQQQnglqaF7OaXUcfRmr/3oz4mPR+/E1kHTtL0GhiaEEMKLyD1077cEuBn9PlYG8BfwhCRzIYQQnqSGLoQQQvgBuYcuhBBC+AFJ6EIIIYQfkIQuhBBC+AFJ6EIIIYQfkIQuhBBC+AFJ6EIIIYQfkIQuhBBC+IFCDSyzYcOGCkBd5EKgrHABxzp27Jic75bCb0m5F15AvosKoMADy2zYsOEKk8k002QyWfCYG1f4Nc3lciW4XK77OnbsuNboYETpk3IvvIR8FxVAgRL6hg0bKphMpj8qV65cq2bNmmeVUjK8nI9wuTSV6XQF2p2uILtTC3S4tCCHUwvU0JQGStNQGpoJDWqZkzPLuVKCUApQaCjnqaTMgOQzx5NbrLz3w8DMuBNAHPp8y/uBw9gSnIa+QVFipNz7FpdLw+HSAh0uV4DDSYDD5Qp0uLQAp0sLdOo/A5waZtDIKvuhymmvx/EgUFqsuWZGsjMoUClcSuEyKTSzMtkDzMoeYFaZgSZlDzSbMoPMJrvJVLp/C5qmqdjY2Krx8fEnXS5XD6mp566gTe51TSaTpWbNmmfLly+fVqIRiUJLtzuD0+3OcpkOV1Cm0xVsd2pBdqcr2O50BTldWo7/Y8XFKlrBZs0VomWGei6rWU4jVRHiDCz/RGBmXM5d7Ngsh4B96Al+N7AB2IgtIaVY3pwwkpR7L5XhcAamZjrLp2U6Q9PsztAMuyvU4XIFXrilR3nPpeibTCZHCJhAQ5kCTU4t4NwxNPfLBdizFjgBJ2aTcgSaTZmBZlNGUIApvXyQOaV8cEByoNlUYhf4NWvWPJuYmGhxuVx1gT0ldR5fVtCEbgKUXKF7hwy7Mygpw1ExOcNRMTXDWSn3glw8lMr5j/MEAk3dL08ubJZdwHpgHfAPsEFq8z5Hyr0XyHS4AlMyHOVT7c7QdLuzfLrdGXrhhfqlc12kkOdGr/E7A9LtzlCAM+7lQWZTRkiQOTk0KCC5fLA5JSTQnKYKftg8uf8OFdKX46KK/kdhs3QsxjhyHDthQ4kd2wdlOlyBSel2PYFnOivZna4go2PKhwkId79Gu5fFY7OsAH4BlmJLiDEoNnEJrJHRJVLuY6IipMy7aZpGSqYzNDHNXjkp3VE5w+EMKY3zurRLT7yZTldwZporOCHNXg3ApJSzXKA5pXywOalySFB8SJA5/ZJPIi7KL690du/eHfTKK6/U8FxWr169tn/++WepFAxPe/fuDerbt28zq9XapmnTpq1ffPHFmlnrnnzyydpNmzZtHRYWFt6uXbuw3377LRTA6dJMZ1Myqxw6m9pw1/HENm9+8Mll3bt2atyvW6fqg3t3Dfr0g3eyj3/08CHG3ngd3cMbMnJgzzxjeS7yYUb078bdo4aQlJgA6F8eE26/gcMxB0rk/XuoDAwHZgIHsFn2YrO8jc3SC5vFL/8OhX8JCwsLj4uLK5G/VZdLU/GpmZZDZ1Ib7TyedNn+U8mtTidn1ClsMt+2eSN3DBvIjVf3YOTAnvy95vfsdQcP7OPeW4Zx49U9GNbvSpYs/P78GDwa5DMzMnjpqccY3LMjI/p34/EHx513nNFDr2bwVZ24JaIv/+3emWssq1f8wtC+V5iv6dm50o+Lfqq3Nzap9a4Tia2j3nir6WNTI+sX5n2JgvHL+dD37t0bPHv27BpTpkw5VZzHtdvtBAYWvHXb5XIxdOjQppMnTz5x1113xQEcPnw4AODPP/8M+eSTT2rs3Llzu8Vicb333ntVH3zoocbRv61NTky3V3VpWvYXR+269Xjv82+pXrMWSYkJ3DyoD+GXtafzlT2oUKEiEx97kuSkRN555YWLxrJ31w4OHdjPd8v+ZOb0V1j8/TxuHjOO77/6jM7detLA2hi9v1upaQbc734dxWaZB3yFLWF9aQYhRH6yyv2uXbt2FOdxnS7NFJeaWSUxzV4lJdNZUfMo80WhaRqP3HM7z7/xLlf07E3M/v+49+ahLFi5jnIhIUybNIHrR97K8JtHc/bMaW6J6EOPrp1pUidr/3Nt4zNefhalFAt/X49SitOxJ7PP83zkI4y4ZQzXj7yFX6MXMG3SRL6MXnFBPO+99jLvfjYfgEn3jKZ7734cP36i3HffflPugy9/YNeJREulcoFxlpDAuPLBAdJHoxj4dM3ou+++qxQeHt6qRYsW4Z07d265YcOGcgAPPPBAw5iYmHJhYWHhffv2bZa1/fz586u0b98+rF69em2nTJlSJ2v5oUOHAgYNGtSkbdu2rVq0aBH+4IMP1s1aV69evbbjx4+v17Zt21YjRoxoXJj4Fi5cWDEoKEjLSuYADRo0cAAopXA4HCouPiEwNjG9xtGzyfVr1mtULj4ts7orR8Hu0PkKqtesBUDFShaszZpz7PAhACxVqnB5lysJCS2fZyyBgYHYMzNwuVykpaYQGBjEqZMn+HnBd9x+z8TCvK2SUA+YBKzDZtmDzfIsNksDo4MS3mfZsmXlO3bs2LJly5bhLVq0CJ87d25lgN9//z20Q4cOYS1atAhv27Ztq19++aU8wE033dRo2rRptbL237VrV1D16tXbZWRkqAULFlRs3759WKtWrcKbNWvW+s0336yetd2IESOsN954o7VTp04tW7Ro0RpAKdXx9OnTZoBx48bVb9OmTauwsLDwTp06tdyyZUtw1r5KqY6RkZG127Zt26pevXptZ8yYUS1r3caNG8v16NkzrEVYq/atWrfpMP3td63JGQ7LqZMnTI+Nv5NbruvHiP7d8rw4v5j4uLPEnT3NFT17A2Bt0oyKlSz8sXIZALt3bKdHnwEAVK1WnRat2rBowQ/mrP2d7hp6amoKP8ybywNTniLr/nfW98+Z06fY8e9mIoaPBKD/oCGcOH6UQwf2XxBPQGAg6WlppKWmEhikV4ReffYJHn7cRkBAAJkOV7nTyRl19p1KDt91PLHNsfi0upmOkusPVBb4bEI/evRowNixY5vMmTMnZs+ePTvuuuuuUyNHjmzqcrl4++23D1mt1vRdu3btWLFixX9Z+8THx5s3b968a/369Tvff//9WgcOHAgEuOWWWxpPnDgxduvWrTu3b9++Y9OmTeVnz55dJWu/s2fPBmzZsmXnwoULC9UuvW3btpCqVavar7vuuiatWrUKHzBgQNMdO3YEAbRu38l8x7gJ9lZhYW3atmza8LMP3w+MfO5/+R5z355d/LthHVf07FWYULA2bU7nK3ty07W9OHroIBHDR/Lqs08w6cnnCAjwqoaa5sA09Gb577BZ+hgdkPAOJ0+eNI8aNarZiy++eHT37t07du7cuWPAgAFJ6enpatSoUU2feuqpY3v27Nnx2muvHb7llluaJSQkmMaOHXv6q6++yk7UH3zwQfVhw4adCQ4O1rp165a6fv36XTt37tyxZs2aXa+++mqdffv2ZSeUf//9N/TXX3/de+DAge05Y7HZbCe2bdu2c9euXTvGjRsXe//99zf0XB8cHKxt3bp15+LFi/c+8cQTDTMyMtWxs8nVh91wY/jgUXeU/3bZX+Zvf13DgIjrAXjqkQmMGn03Xy5ezrwlv7P93838svjHQn0+VapWo0bNWixd9AOgN7/H7P8v++I/vG07on/Qa8xHDsawZcM/HD18KLtW7nLX0I8cPIClcmU+eucNbh7UhzHDr+XvP1bp/wfHjlK9Zq3s7wylFLXr1uf4sSMXxPPIEzaeemQCT0+ayKSnnmfVsiVUq16Tth0u7IaR6XQFn07OqLP7RFLbA6dTmiSl2ysU6s0LwIeb3FetWlW+RYsWaV26dEkDGD9+/NkpU6Y0zErSubn99tvPAtSpU8dRv379zD179gRXq1bNuXbt2kqTJ08OnDx5MgCpqammXbt2lcva76677jpjMhX+2sfhcKi1a9dWWrVq1c5OnTqlR/3vlVo3jrop7Ltf/nDtP3Ag+Jeff2LR6g3UrF2Hr+bMYsrEu/j0+yUXPd7J40d5eOytPPXyG9SqU6/Q8dw/5Snun/IUAL8t/YnadetRt0FDnp40kZTkJG4d0jfgziGFu1AoQWb0e+7DsVm2Ae8Ac+VxuLLrt99+q9C4ceP0a665JhnAbDZTq1Yt5z///BNiMpkYMWJEIsDAgQOTq1WrZl+7dm3owIEDkx0OB6tWrQrt2bNn6vz586v9+OOPewFOnjwZcOutt1oPHDhQzmw2a/Hx8QGbNm0Kadq0qR3g+uuvj6tSpYort1gWLlxYaebMmTVTUlLMLpeLhISE875Lx44dewagddt2TnNAgPpj63+XJSQkBGRmZHDt0Buyt6tStRqpqSn8s2YVZ0/HZi9PTUkhZt9/FNb0j79g+kvP8vG7b9K0RRgdOl+B2Z18n3/zfV5//ilGDuxJnXoN6NK9V/Y6AM1dwXM6nBw7cpimzcN4+HEbO7f9y323DOP75X8VKpbLu3bji0V660BKchITR4/kvbnfMvej99m8/m+qVq/BY9NeJDDoXB9fDU0lpdurJKXbqwQHmNOqVwg6UbV80Nni6inv73w2oRdFSEhIduE0m82a3W7PHlhn48aNO0NDQ3N9PKdixYq5Pm61YcOGcrfeemsTgM6dOyd//vnnhzzXN2rUKLNVq1apbdt3cB46m9qoz7Dbqj3xeKRKSc9g+U8LaR4WTs3aesv/9SNvJerpqdgzM8/7A88Se+I4424exj0PPsrV1w0t2gfglpyUyKcfvM37X3zHx++8SacruhMxfCS3XH1F0E0DuhISUi7/g5SuNuid6V7GZnkDmIEtIcngmIQX80wAt9xyy5kPP/ywemJiYlyVKlUcnTt3TgcYN25co6uvvjphyZIl+0wmE+Hh4a3S0tKyr9wrVKiQa7nfu3dv0NSpUxv++eefO1u3bp3x999/h/Tv37+l5zYBwcHmg2dS6iWmOaqZzQEq0+64+Het+zvo8wW/Elwu77I3+d47OByjN2/P+noBlatUPW99y/C2vD/32+zfh/bpSrMWYQDUa9CQN2Z9lr1u/G030PyqntnfeU53Db12vfqYTCYGDbsRgFZtLqNeg0bs3bWD5q1aczr2JA6Hg4CAADRN48SxI9Spm3cft7f+9zz3PDCZM7Gx/PbLT3w8fxHvvf4y0T98w9BRt+a6T4bDGXI0Pq1xbFJGvarlg06WN2lS5vPhs03uvXv3TtmzZ0/IunXrygHMmjWrSq1ateyNGze2V65c2ZmUlGTO7xgAFovF1aVLl8Snnnoq+556TExMoGfT28V07NgxfdeuXTt27dq1I2cyBxgydFjKiZOxIas372kbn5pZffWKX1Tj5i0JDAykXiMrm9b/TWqKPuDR78uW0qhJs1yT+amTJxh381DuHP8QQ268uSBvK08zXn6Wex+eQkhIKGmpqSilUEphdzhUpt1+yccvQVWA59Gb4x/HZpFmuTKkX79+yQcPHgxesmRJBQCn08nJkyfNl112WbrL5eKHH36oBPDrr7+WP336dOAVV1yRCnDPPfeciY6OrjJz5swat99+++ms4yUkJJitVmuGyWTi559/rrB79+7Q3M98vri4OHNAQIDWsGFDu8vlYvr06dlPrtidLjPAgTPprRPS7NU1zj0LZm3anHIhofz847mEG3f2DKHlK9C5W09mvzc9e3nsieOcPH70gnO//sGnzF+6mvlLV1+QzEH/rsjy3ZefEhISSpfuVwFw5lQsLpdep1mzcjn79+7i+uE3OgE0fdQYQG816NK9F3+uWg7AkUMHOXr4II2btaBa9Rq0anMZ0d/rTffLflpIrdp1adi4yUU/r383riM5KZHuffqTlpaSfbFlMplITc2/wc3udAWdTExvcOBsaotUu6tSXJqzTFVEC+MSnkM39lnxunXrOj766KP9d9xxR2OHw6EsFotz3rx5+0wmE127dk1t0aJFWvPmzVs3aNAgw/M+em6++eabAxMmTGjQvHnz1kopLSQkxDVz5syDWU1vheVwuswnEzNqx6Wqmk9FTTfdf8dINE2jQsVKvPLORwD0u+Y6tm/ZyM0RfQkKCiIkNJSotz/MPsbE0TcyYfITtG7Xgfdef5njR4/w5eyZfDl7JgC33HUfQ0fdSlpaKkOu6ow9M4OkpEQGdG7NdSNG8lDkM7nGtmndWtLT07nyKv3W9E133M3U++/mk/dncNOI6+2WShW9/Rl3gGrAS8AkbJZXgXelKb50GPm8eI0aNZxff/31vscee6zBgw8+aDKZTEybNu3oLbfckjBv3rx9Dz30UMOpU6fWDw4O1r744ot9FovFBWC1Wu3t2rVLWb58eeVPP/30YNbxXnjhhaMPP/xww6ioqLqtW7dOveyyywr0N9SlS5e0IUOGnA0LC2tdpUoVx6BBg+IBjsen1TmTklkLQNMuHI4xICCAGR9/wctPT+Wjd97AZDIxcvRYbrztTl56axavPfckw/tdiVKKkNDyPB1V+Ftr3335KdE/fAOaRuNmLXjzo8+zE+iqZUuY/e50TGYzNWrV5p1P5xMSoj8Vt2DpKu2zX95UtlffAuDpl9/gmcceYPpLNkwmE09HvUmtOnpf4aej3uTpSRP56J03qFChIs+9/k7uwaA/ITD9JRuvffApAC1ataF+QyvD+11JlarVePPDuQV+by6XFpCcqVV5fnXc4rsXRz8cExXxY6E+nDKgoGO5hwUEBCxp3rx5cmhoqAwMcBGapnEqKaPGqeSMuiUxklNJaxYUlxzqiD+v1pvu0Dhw9BSN10ymXPJho0LLzzEgEv0eu4xqVkyk3OfPpWnqtF7m6/hima9gcmY04VCwpkzOrc5GBWrVNIrmyCT22BFsv8VyNMkJsBKYFBMVscnYyLyHzza5e5uENHul3SeTWp9ITG/oiwXbx9UFPgP+xGbpZHQwomw4m5JZZfeJpDYnEtMb+H6Z98nhfXsD662R0Z9YI6Pr5LdxWSAJ/RKl253B+08lNzt4JqV5psPldb3JypgrgL+xWd7DZqlsdDDCP9mdroADp1OaHIlLbeIDwzAXjO+O128CxgB7rZHR06yR0WX6O1gS+iU4lZRR/b/Y5PDkDIfF6FhENhMwHtiFzTLU4FiEnzmbklllz8mk1knp9ir5b+0D3Hlc880auqfywLPoNfb2BsdiGEnoReBwuswHTqc0OZ6Q1ijnqG7Ca9QCfsBmmYPNUsnoYIRv86yV+37zem58PqFnaQ38bY2MnmKNjC5z381l7g1fqqR0e4U9scnhfnOF7v/uALbKiHOiqM4kZ1T1q1p5bny3yT03QcD/gBXWyOiG+W3sTyShF5CmaRyLT6sbczqlpcNf7puVHQ2B5dgsb2KzlOl7bKLg7E5XwP5TyU2Pxqc19s9a+Tl+0OSem17Av9bI6NxHrvFDRf4jLal5kcH75kbOsDuDDp1NbZJmd+Y9A4rwZgp4GOiJzTIcW8IFAwGJArBZSqbcGzyuRU4pGY6QQ2dTm/lNp7eLUjl++h0LMNcaGX0dMD4mKiLe4HhKlNTQ0WdFa9u2baumTZu2btasWev77ruvvtOpj/p4Jjmj6t7Y5PCCJPMjhw5y06DejBzYk+H9ruTR+8aQGB8PQGpKMvfdOoJelzWlR+tGeR7npScfZeTAntmvzs1q88XsD/TjpKbw9KSJjOjfjet7d2H6yzYuNpaAwfOfe6uOwAZslr5GByIKb+7cuZWbNGnSOiwsLPyff/4p1FzheVm8eHHFb7/9thLoHd8OnE4JK0wy/3fTem68ugeDr+rE3aOGcPL4sVy3W/7zYm4Y0J2RA3syrO8VvP2/57PLrzFl290pzr+a3HNzE7DFGhl9mdGBlCS/Sej2SxiytFq1ao558+bt27dv3/Z///13x7p168q/88671Q+eSbEejU9r7NK0Ag24ULNWbeZ89zPzl67m++V/UaNWbd5/MwqAgIBA7pzwEB989WO+x3nixdeyh3d87/NvUSgGusdv//jtN3C5nHz76xq+/XUNe3Zs49foBRccw3P+805X9mDx9/MAcsx/XmZVB37BZnnU6EBE4cyaNavG1KlTj+/atWtH1sRMl8put7NixYqKP/30k+VYfFrdI3GpTQrT2dXlcvHEA+N4zPYyi35fT88+A3j12Sdy3faKnr2yy/b8Jb/z1+qVrFgSDRhbtnMZ2M4fNQT+sEZGX2N0ICXFpxO6UqrjI488UrdNmzat7r///vr//PNPSMeOHVuGh4e3atq0aWvPOc8nTZpUNyIioknfvn2bNW3atPUVV1zR4uTJk2aA7t27p4WHh2cChIaGaq1bt07fc/Bo3YQ0e7WLnTs3QcHBlHMPpeh0OrPHSc9a17X7VVSsVLgn3BZ++xXdevXNno94985tdO/VD6UUgYGBXNGzD4u/m3fBfl4+/7k3MAOvYrN8jc1SoDG8hbHGjBnTYP369RWee+65eh06dAgD+O677yqFh4e3atGiRXjnzp1bbtiwoRzoNe6wsLDwrH3XrVtXrl69em0Bdu/eHVSxYsX248ePrxceHt7q5ZdfrvnZZ5/V+HHBghp9u3epM3P6K4WKa8e/mzEHBNClW08AbrhtDKuWLSEj/cLB9cpXqEjWzI0ZGenYMzOyvyOMLdt+X0PPUhFYbI2Mvs/oQEqCTyd00GdN27Zt284PPvjgSPPmzTP++OOPPTt27Ni5ZcuWHYsWLaqyfPny7KbyzZs3l//yyy8P7Nu3b3v16tUd06dPr5HzePsOHCz3089Lqvfod02+k7Pkxp6ZyciBPenVrimHDuxj/KTIS3l7/DjvC4bedFv27+Ft2/NL9AIyMzJITUnmt6XRHDty4e1gH5r/3GijgBXYLIW6eBOlb86cOYfbtGmTGhUVdXjTpk27jh49GjB27Ngmc+bMidmzZ8+Ou+6669TIkSObZk1Akpfk5GRz69at03fs2LFzyuNPJowcPZZBw0aq+UtXc9/DUwoV14ljR6hTr0H27+UrVKR8hYrnTZTiafP6vxnRvxt9OrSgS7er6DNwEGBs2S4jNfQsZuB9a2T06/72aJvPv5nx48dnz56Umppquvnmm60tWrQI79ixY6tjx44FbdiwIbv21atXr4TatWs7Abp27Zq8f//+YM9jnYg9Xe76oUPDx4x/iNbtOhQpnsCgIOYvXc1vG/dgbdacb7+YU7Q3Bmz8+09Sk5Pp2ffq7GV3TXiYOvXqc9uQ/tx/xyjatO943pzGnu6f8hTzl67mtZlzWPv7yvPmP580bjRLFn5f5Nj8TFfgD2yWMvWIi69btWpV+RYtWqRlNb2PHz/+bGxsbOCBAwfyvRgPCAjQxo8ffyYxzV5x36nkVhqq1K5y23fqynfL/mTp39vYsXUzG//+EzCqbOuJ3E97uednEvCdNTLab1rofD6hZ82oBDBp0qR61apVc2zfvn3H7t27d3Tt2jUpPT09+9KzXLly2X+0ZrNZczgc2etOxJ4OvebaQeG9r45Qo8fl3my1b8+u7I5qLz2Z9+3XwKAgho68Ndcms4L64eu5DL7xJszmc7fwy4WEMPXZKOYvXc3sb6OpXLUqTd3zHV9M1vzn4yc/ztyP3qfTFd155b3ZfDDjVdLTiuU2pD8IQx8LvrXRgYhLFxgYqHnW1D3nOQcoV66cKynDaTl4NrW505V3H5nEhITscv/w3bddsL523focP3pu4qKU5CSSkxKpUat2njFWrVadHn0H8Iv7PrmRZbuM1dA9DQVWWSOj8/7P8hE+n9A9xcfHB9SvXz8zMDCQLVu2BK9Zs6ZAI4QdO3W2/LWDIsK69emvxj108UTdtEVYdoeWJ1587cLjHDlEWloqoHeU+WXxAlq0Klp+SE5K5NefFjJ01G0XLM86x5FDB/nm89mMHnd/nse62PznDrsduz2zSPH5qXrAamyW7kYHIvLXu3fvlD179oSsW7euHMCsWbOq1KpVy964cWN7y5YtM44dOxZ87NixAIBPPvnk/FsqSqnDZ9Oaapo+X3n5ChVJSkzM9TyVLJbscj/9owun+wy/rD0Ou51//lwNwLdz59Cr/zUEl7twyIMD/+3JnpM8JTmJ1ct/yf6OMKZsZ/dyL8C2fqsTsNYaGX3xSd19RJGbmbztWXGAadOmHRszZkyTr776qlqjRo0yrrjiitxLqIeENHvFqFffaL5ty0aVlpbKip8XATAg4nruebBwnaD37NzOO6+8AOgJvVXbdkx97n/Z628Y0J24s2dITkpiQOfWdO7Wg5dm6I+jjRzYk3c+nU/N2no/viULvye8bTsaNW563jmOHDrIY+PvJCAgALPZzKPPvERY67YXjSmv+c+vGz6q0J30yoAqwK/YLNdiS1hldDBex4ueF69bt67jo48+2n/HHXc0djgcymKxOOfNm7fPZDJhtVrtEyZMONG5c+dW1atXt/fv3z8ha7/EdEdlpZRJ41wrc99rrmPx9/MYObAnfa8dXKj76CaTiZfe+oDnIx8hIyODmrVq8+KMmdnrJ46+kQmTn6B1uw4sXfQDSxf9QEBAAE6nkwER1zP85tGAsWXbfV1TljUCfrNGRveKiYqIMTqYoirT86HHpWRWPhKf1kSTv2bAp+dDLwnJwNXYEv4yOhCj+GO5P5OcUfVofFqZfmbTUwWzM6OJdig4JaBq8r5MS4X89zBOLvOhl4QYoHdMVMTBkjpBSfKrJvfCOJ2cUe1IXGpTSebiIioAP5fYyGii1J1NyaxyTJJ5DmVmYJmCsqLX1OsbHUhRlMmEHp+aaTkWn2aVv2CRDwv6ADQXb/cUPiEuJbPy0bi0xlLmc+cqw73ictEY+NUaGV3d6EAKq6AJ3QVo/lCbTc10hByJS/P5zg+lJfuOTAFuzfipqsAybJYWRgciiiYxzV7xSFxaEw3f//4qKZLPLxAG/GyNjK5odCCFUdBOccdcLldCbGxsrZo1a55VPto843C5zIfPpjd1ulxlsmUiPxnKaTI5z/3XahqcSnGiMhIJTD+dx55+ryYQjc1yBbaEM0YHIwou3e4MPhyX2lSS+cVkP4ducBxeqRPwozUyelBMVESG0cEURIESeseOHZM3bNhwX3x8/MzExEQLvjk1j4pLd9ayOynSCHBlgWZOMQe7Us9bpjISqb/5dcxOv+gTdSmaAd9jswzAliDP+vkAh8tlijmT0iy/58wFuHzyK71U9AU+Bi4cgMALFfixtY4dO67dsGFDD5fLVRcfvPf+xIozUcmZruuNjsObvR48+98wdnTOXqBpBKaflmR+zlXAB8CdRgdilJ1hrUqkk2CrXTuL9XE4TdM4eCa1SabDdeHD4MKDu1OcJPS83GqNjP47JiribaMDyU+hnkPv2LFjMrCnhGIpMdbI6McBSeb50NIPp5Uzl6lH04piDDbLLmwJ/8t/U1Fadu/eHbRgwQLLlClTTgEcjU+rf9Xl4ZY3P/oiz2e5S8KqZUt444VpuJxOmoWF8/wb71Kh4oVjXLlcLv73TCR/rPgVpRS33n0fN48ZB8Dvy5fy3usv89/unYy8/S6m2F7O9VyJ8fE8Mu524s+e4fIuV/LkS68DcPbMaR67bwwzv/yBwMD8GyVdlO2RZQrgdWtk9MaYqIg1RgeSF5+raReWNTJ6GPCi0XEIv/IyNssQo4MQ5+zduzd49uzZNUB/JPVsSmat4jiuw+Eo1PapKcnYHnuQ6R/NZdHqDdSoVZtZM17Nddvo7+ezf+9uFv6+ni8WLefTmW/z3+6dADRs3JRnX3ubMfc+kOf5on+cT+duPflu2Z8c2LeXvbt2APDac0/y0OPPFCiZg9TQCyAQ+MYaGV0n3y0N5NcJ3RoZ3QH4HN+85y+8lwLmyGQupe9i06U+8MADDWNiYsqFtWrV5obhQ61Z2y//eRG3X38113Zrx6wZ54ZrPh17ksfG38kt1/VjRP9u2SM8Alx75WW8+dIz3HJdP55+ZHyh4vvjt2WEtb6Mxs30hyJGjR7Lzwtynyhl6aLvGX7zaMxmM5YqVRg4eBhLFnwHgLVJM1qGt73o5CxZAgICSU9LxeVyYc/MIDAoiDW/LaOSpTKXXd45z309yWNrBVIHmG+NjPbaflh+m9Ddg+0vBMrnt60QRVAF+BKbRTpclZK8pkt9++23D1mtjTO+W77W/Nbsr7L3SUpM4PMFv/Dl4hV8+sFbnDx+DICnHpnAqNF38+Xi5cxb8jvb/93ML4t/zN4vIS6OLxYt4+W3PyxUjMePHqFO/XNjktRt0JDTsSdyrekfP3qEuvXPTbtat35Djh87UqjzRQwfyeGYA4y65iq69uhNzdp1+PDt13lgylOFOo7k8wLrAVw4kYeX8MuJsa2R0QqYC/jkaD/CZ3QHngUK9+0piiS36VKnTJnSMHu6VJM5yOnSzqukDBp6AwBVqlajXkMrRw8fpKLFwj9rVnH2dGz2dqkpKcTs+y/79yE33ozygdvKoaHlef2DT7N/f9X2BHdOeIhDMQf4+J03ALjnwcm0DM+7H4HcQy+UB62R0f/EREV8YXQgOfllQgfuA/oZHYQoEx7HZlmBLWGF0YGUZakOKqHUBS2OQcHnOrmbTWacTmf2IEmfL/g11xnRAELL5z6s+b49u3j8gXsAfV7znLMu1qlXn7WrV2b/fuzwIarXrE1ALk3nderV59iRw7Tr2EXf9sgh6tQteh1k66YNnD1zil79r2HM8Gt5ccYHaJrGtEkTmP1tdJ77uuQx/cKaZY2M3hATFbHL6EA8+V2TuzUyujGQey8UIYqfCZiLzeJzw0T6motNl1q3QUMIrlgjKSnfyRUBPVl37taT2e9Nz14We+I4J48fzXff/KZQ7t67Hzu3beHAf/rDQPM++5hrhgzP9VgDIoby/Vef4XQ6SYiLY+miHxg4eFiB3kNOdrud6S/beHSa3v83LS0VpcBkUqSmpuS7v0v6GRVWKPCRuzXYa/hVDd394X6C3DcXpasOMB0fGXziUhT38+KFcbHpUo/FZ1ibtWptbtoijOH9rqR+QytvffJVnsd66a1ZvPbckwzvdyVKKUJCy/N01BvUqlPvkmIsX6Eitldm8PDdt+F0OGjWshXPv/le9nrPaZKvGzGK7Vs2MviqjigUt98zkebuudH//mMVTz0ygZTkJDRN49fohTz54qv0vnpQruf9dOZbDB5xE9Vq1ARgwuTHmXjHKAAmPflsvnFrZXxC9CLqDtwLzMxvw9JSoOlTfYU1MvpBYIbRcfiqrwJf+P1K846rjI7Dhw3ElvCL0UEUF1+YPvVUUkb14wlpjYyOw1dVMDsymmiHg/erhpnJTnOQ0fHkpZSmTy2sRKBVTFTEMaMDAT9qcrdGRjcEXjI6DlGmzcRmCTU6iLIiw+4MOpmY3iD/LUV+pMm9yCoB7xodRBa/SejAW0hTuzBWY+A5o4MoCzRN43BcmtWlaf70HWYYlzS5X4qh1sjo3DtKlDK/KAzWyOjByNCuwjs8jM1SIuOdi3POJGdWS810+NTUlt5MBpa5ZO9YI6MtRgfh8wndGhkdCnj9oPmizDAD72GzyBdkCXG5NBWblHFpvdfEeeQ59EtWBzB8fgefT+jANEA6xQhv0gW42egg/FVsUnoth8vltcNv+iJpci8W46yR0V2NDMCnE7o1Mroe8IjRcQiRi5exWWTqzmLmcLrMp5Mzaxsdhz/RNOkUV0wU8LyRAfj6c+iPAl79qIUosxoCD+Bngxy1/bRtifQP2HrH1gI9334iMb2OS9Nk/PzipJQmg7kXmwHWyOgeMVERfxhxcp+toVsjo2sA44yOQ4g8RGKzGN5Rxl9kOJxBcan2mkbH4X+U/wxG4h0Me9LFZxM68DD68HtCeKuq6K1IohicSEivq2nFM+j42BuvY8WSvMc3z827r71E9A/zAXj/jShesT2e63arli1h7I3XXVKMpUYpbdWyJVzfuwuDe3bkkXtuJ/kiw+i6XC5efnoKEd07cF2Py/lqzqwCrfOUGB/P2JGDGdG/Gy8+MTl7+dkzpxl743XY7fbifX+lr481Mrq3ESf2yYTufjxgotFxCFEAD2CzyONVlyg10xGSkGavVtDtc5uutDhMfPQJIoaNLJFjG0EBScmpLttjDzL9o7ksWr2BGrVqM2tG7neKor+fz/69u1n4+3q+WLScT2e+zX+7d+a77rxj/Difzt168t2yPzmwby97d+0A4LXnnuShx58hMNAv+jvmP95uCfDJhI6ezKUpU/gCC/p4z+ISnEhIrwfQrkEV3nnlBUZecxWDr+qUXVvOWvfe6y9zS0Rf3op6lpTkJJ6d8hC3XNePGwZ057mpD2PPzMze/u81q7gloi/X9bic1557iqxhsHPW3iffewcL5n8JwNOPTGDuR+9fEJ/dbufFJyYzuGdHbrmuH+v+zP8W6qmTJ7j3luEM63sF994ynCkT7uL9N6IA6N8pnNgTxwF4bPydjB56NQCZGRlc1bYJmRkZLJj/JeNuHsrUiWMZ0b8bNw/qw5GDMYX6XAF+/u0PFdb6Mho3awHAqNFj+XnB97luu3TR9wy/eTRmsxlLlSoMHDyMJQu+y3edp4CAQNLTUnG5XNgzMwgMCmLNb8uoZKnMZZd3LnT8Xuoqa2R0/9I+qc8ldPdz59KzXfiSh7FZpPNmEaVlOsslZzjOXcArxfwlv/P+598S9fRUjh4+lL3KZDbzZfQKJj31PK8//zSXd7mSLxcv55tf/sDlcvHF7HPzaOzfu5tPf1zKN7/+wYa1a/j5x2+LHON3X8whZv9/fL/8Lz79/md2btuS7z7/eyaSdh0788OKtbw4/X3Wr12Tva5rj6v4+49VuFwudu/YRlJSEslJiWxat5ZWbdsTFBwMwPYtG3lg6jS+W/YnXXv2Yvb70wsd+8EjJ1Sd+uemba3boCGnY0/k2spx/OgR6tY/N9pu3foNOX7sSL7rPEUMH8nhmAOMuuYquvboTc3adfjw7dd5YMpThY7dy5V6Ld3nEjp6RziZqlL4knrArUYH4atOJWec1xFu+M23A1C/kZWOXbux8e8/s9cNG3XuY16xNJo5M99i5MCejLrmKjb+8xeHYvZnrx884iYCAwMJCQklYvhI1v6xqsgx/r3md/14QUEEBgUxdFT+/91//7Eqe7vqNWtxVb+B2euu6NGbtX+sZNe2f2kZ3oYu3Xqy/q8/WPvHSrr2ODd/0mWXd6F+Q30YjnaXdylSDR0o1U5xoaHlef2DT/nmlz+YMPlx3n3lRe6c8BCHYg7w6H1jePS+MezesbU0Qyop3ayR0QPz36z4+NRja9bI6CCkk5HwTY9is8zBliA9igvB4XSZE/O7d+7RTS4ktMK5XzSN12d9hrVJswKdS7nHVjEHBOBynZvNKyOj8BPNqSKM0+K5T9cevZgR9RxNmreka49eVKtek7V/rOLfDet48qXXs7cLdtfUAUxmE85catX79uzi8QfuAaB9p67nzeOuAQ3q13Ut+H1z9rJjhw9RvWZtAgIuTA916tXn2JHDtOvYRd/2yCHq1K2f77qL2bppA2fPnKJX/2sYM/xaXpzxAZqmMW3SBGZ/W/hOi17oIWBpaZ3MpxI6cAd6bUcIXxMODAJ8+luqoM+LF5fTyRk1ck7AsmD+l4yfFMnRw4fY+M9fPGZ7Odd9+wyM4JP3ZvB01JsEBASQGB9PfNxZGjZuAkD0D/O5dugNOB0OfvrxW26/ezwADayN2bppPf0HDeHIoYNsXreWAYPyniriih69so+HpmXfc89Ll+5XsfCbr7jvkamcORXL78uXcsOtYwCoWbsOFStV4tu5n/Dh1wupXLUqrz73BKnJybRq2y7fY3tq2iKM+UtX57pOAdf0vco58YmXOfDfHho3a8G8zz7mmiG5zzUyIGIo33/1GVdfN5TkxESWLvqBtz/5Ot91ubHb7Ux/2cYr734MQFpaKkrpFzapqSmFeo9ebKA1MrpxTFTEgdI4mc8kdGtktAmYanQcQlyCu/HxhF6aNE0jLtVeI+dyp9PJyGuuIi01lanPRVGvQcNc93/smReZ/vKzjBzYE5PJhDkggEeeeDY7oTdu1oI7hl1DYnwcva8exDXXjwDgzvseYsqEuxjRvxtNW4TRpn2nfGMdfssd/Ld7J8P7XkFFS2Uu73IlO7duznOfKbaXeXrSBIb1vYIatWrTtn1HKlY611Wga49e/L58KfUbWQGoXqMm1VtfhslUvHdKK1asiO2VGTx89204HQ6atWzF82++l71+5MCevPPpfGrWrsN1I0axfctGBl/VEYXi9nsm0rxVa4A81+Xm05lvMXjETVSrod9RmTD5cSbeMQqASU8a0km8JJjQO8VGlsbJVFbPTm9njYzuBaw0Og5/9lXgC79fad5xVf5biiKyA/WxJcQaHUhBbNiwISwgIGBJ8+bNk0NDQwvf7nyJ4lMzKx06m9rcc1m7BlVYvS2GSn4wXk96WhoBgYEEBAQQH3eW24cM4MW3PuCyDvlfQBSXimZHRgPzWeeOzJpeP6aH5sgk9tgRbL/FcjTJmf8O3uMUUD8mKiIz3y0vkc/U0IEbjQ5AiEsUCNwOvJ7fhgLO/r+9ew+zo67vOP6evXJRTqACAmqPQLVcqtKVYG2Qior0GQkRjD7Wiigici2Q1p6qlNH61AHUoogXLgURLKBoRA88IMpNQcCAiRgTRBkJuSJJJptkd7PZnf4xB7LGXHazc+b7m5nP63n2CQ+EmQ9hz37O73d+8/ut2/Bno/MyeTr6HZ8893SSJGF4eJh3n3RKrmX+vCTnRXEVtCcwA7h5O79v0gpR6K3p9hOtc4hk4IOo0Ldrw8bR7nVDG6ds/vfnLlplkGbH3f+TO7nsoj8/r+NDZ57HsdNP2Opn23lKCvmwU+F8ABX6C44EdMKSlMEhBLUjCOKHrIOMwyiQZLXd6kSsXLdhjzIMG488+hiOPPoY6xjbVJg/5yQBEkYLE/hPvL3eaL40Cv1l7bxJUQq9PHstiqTv1otQ6EtGR0fjFStW7L3XXnut9Lz8DvFY3b9+j2TjaF63q6yR0RFvcHTUSza2/ePdyUkSNq5fQ//gCKsGCvl90Qn8M/C57f3GyXC+0DXdLiU0g6B2puvPpPf19a2dM2fOR1evXv21NWvW1MjpzOzRhM7n1o/s4vQfTkn0eiMd6zoGOleMrLWOsh0J/YMjfPUXqxkcKex3hgodeBOwt3UIkQztAxwOPGwdZHv6+vp+PmfOnGmjo6P7ktPOkpc8sOrERWs2fiaPe1XdAd6SZ87ovf3ZYPAUpzdRH01g1cBokcsc4LX1RnO/KPQXt+sGRSh0rW6XMppOAQod0pE68ERe9/v5t5tH5HWvqntRsn54qGfZ+sXDhXoMrMiOBa5u18WdXt6o6XYpsW1vPVZRrcOXcj+lqqo8YAOlOK60KI5t58WdLnQ03S7ldShBbX/rEA46BtjZOkSVDNJd6HnsgnlrvdHsbNfFXS90rW6XMjvOOoCDNHORowQYTHpyfyyxwqYAb2jXxV0vdE29SZkdZR3AJa2Ryzusc1TNID3WEaqmbdPuzhZ6vdGsAeM791CkmKZZB3DMYcBLrENUiUfCIBqh56x6hQ78LTk99ypiZE+C2qutQzjE6UenykqFnru+eqPZlnMKXC70/E8pEMnfkdYBHKJCNzCY9LjcA2XkAW9px4Vd/h/ZZx1AJAeadt9Eb+INDNCrEXr+DmvHRVXoIrZU6Lzw/PnB1jkqx/MYpLttj1HJVr2mHRd1stDrjeYU4ADrHCI5OICg9mLrEA44jPQAC8mRR+INJL1O9kDJVafQ0YI4qZaDrAM4QNPtRgbpKcIW4GWzb73R3CPri7pa6Jpulyo5xDqAA7QgzsiQptytZD5Kd7XQ9W5dqkSfHes1b2aQHhW6jcoUukboUiWVHqHXG82dgFdZ56giD4/BRFPuRv4m6ws6V+j1RnM3tCBOqqXqI/T90JoZEx76DN1QJUbor7AOIJKzVxDUqnyG5X7WAaoqAYborvL3nqVD641mpm9kXSz0l1oHEMmZR7WPCVahG0lIGNII3coupKevZUaFLuKGfawDGNrXOkCVDSVdOm7NTqaHEanQRdxQ5VLTCN2Ih6cpd1uZHtLiYqFXeaQi1VXl73sVuhGPhGG6NUK3U/oR+l7WAUQMVLnQqzw7YW5IhW6p9IU+xTqAiIEqv5HVCN3IiNfVMUqHNpaxU/opdx1UIVW0i3UAQ1WenTA1SKdWuNsq/QhdhS5VtJN1AAv1RrODiv63u2A46dGCOFsqdJESqmqp6fNbQ1rhbq70U+67WQcQMdBrHcCICt2QCt3crllezMVCr/JniVJdGqFL7obpquobSVckWV7MxUIftA5QRVPoX7V/xxK9mbJT1R+sWpRlSI+smcu00F18MfWT8ecKsnV1b+mii7qv/P1Ub8HrPU9nUhvK9IVdIKPWAaosocPFQV2VlL7Q11gHqIKp3m/mh91Xxq/0lk31PF5unUfYYB3AiApdqqz0hd5vHaC8kuRdnfc98omuG3p399a+1jqN/ImqFvqIdQARQ5m+7l0sdI3QM9bD8NBZXd975LTO5j693vBU6zyyRQPWAYxohC5Vlunr3sVC1wg9I1PoX3Vh93Xzpnc8cFCnl0yzziPbVNXv+3Wk046edRARA5kWuosLIqr6gy0zdW/popt6Pn3vY72n9byz82dHdXpJlfcJL4q11gEsRKG/EXjOOoeIkdKP0DXlvoO00K3QVlsHMLScjLfAFCmITN/Iu1joGqFPSJLM7Lz3Fx/v+laPFroV2mLrAIaWAYdYhxAxkOnr3sVC1wh9HDZb6Ha4dR6ZtCoX+nLrACJGns7yYi4Wukbo26CFbqW1xDqAoWXWAUSMlL7QV1oHcNFmO7odZZ1HMqcRukj1lL7Q51sHcMkR3vz5YfdVcV0L3cpsFFhqHcKQRuhSRRvI+HvfxUL/LelS/p2tg9jRQreKWU4Qb7QOYUgjdKmiRVHol/u0tSj0R6joKL2H4aHzu27+6cLek39/SfcVh6vMK+M31gGMLbIOIGIg0+l2cHOEDvAroM86RF600K3yHrcOYOwJ0mOTq3omvFRT5oXu3Ai9ZZ51gDzUvaWLbu751H3a0a3yKl3ord3ifmWdQyRnf8j6gq6O0Etd6FroJpupdKG3PAZoPwWpkrlZX1CFnhstdJOtUqGnhS5SJT/P+oJOFnoU+s/WG83lwN7WWSZLO7rJdjxNEGszJRW6VMszUehnvpmUk4XeMg94m3WIHdVa6DZ3escDh2ihm2xD5u/SC2oeMAJ0WgcRyUFbXveuLoqDgk67b7bQ7R86vWRP60zitPusA7ggCv0BYKF1DpGctKXQXR+hF4YWuskOUqFv8hhwsHUIkRxUrtAfsA6wfVroJpOyEi2IG2sO8D7rECJtNgw82o4LO1voUeg/WW805+PgO3YtdJOM/JQgznTrx4K7wzqASA7mtT5iypzLn6EDzLYOMNYU+ldd2v3le3/Te/Kac7pmT+v1hg+wziSFpun2MaLQnw88ZZ1DpM3athDW9UL/vnUA+NOFbjM6HzhKC90kI3daB3BQ0zqASJu1bSbK2Sn3lkeAJcC+FjfXQjdpo98RxNru9M81gbOsQ4i0yVra+Ebe6RF662i5W/O9a5LM7Lznkcd6PzL3pt7PHPzKjmV/53l6NlYy58Tsk4PuBtZZhxBpk2YU+kPturjThd4yO4+b9DA8NKvr5vsX9n7gKR1dKjn4nnUAF7V+2P3YOodIm3y3nRd3fcod0nfsa4Dd2nHxKfSvCrq/Me+4jgcP7vSSI9txD5HNrKAQj2Wa+SEw3TqESMYGgdvaeQPnR+hR6G8Abs/6ulroJoZuJYhHrUM4TAvjpIzuiEJ/bTtv4Hyht8zO6kJHePPn391z/oN398zad2rHwjd5HrtmdW2RcbrJOoDLWodWzLHOIZKxtk63QzGm3CGdptgA9OzYv54kMzvvfeTjXTfstLu37jVZBhOZoAh9Rjwe3wD6rEOIZGSYHBZ4F2KEHoX+GuCuif57my10m6oyFwf8r3aHG5cbgLatBhbJ2U+i0F/d7psUotBbvjLe3zh2R7ezu2Yf2ett3L+dwUTGaRS4xjpEEUShvxLHdooUmYRcXvdFmXKHdNr9SeDArf2Gurd00cXdVzx1uLewz/M4Kr9oIuNyB0H8jHWIArkaeI91CJFJWkYOn59DgUborU1mvrylf5YudDtPC93EdVdZByiYu0jfxIsU2ZVR6A/ncaPCFHrLNUB/+pdJMrPznocf6z11Xrqj23Lt6CYue5rcdz0sttab+Mutc4hMwkbg63ndrFCFHoX+ml0ZuEoL3aSAPk8Qb7QOUUDXoK1gpbhmR6G/OK+bFarQAX690ymXn901+41a6CYF8hyabt8hUejHwDetc4jsoEvyvFnhCp0g/h1wi3UMkQm4jCBebx2iwC4FRqxDiEzQ/VHoP5znDYtX6KnQOoDIOK0DLrMOUWRR6C8ErrfOITJBn8v7hsUs9CB+DD2jKsVwJUG80jpECVxIulukSBH8GvhB3jctZqGn/gNNw4nb+oHPWocogyj0/wBcYZ1DZJz+vfWURq6KW+hBvADtuiVuu5ggXmEdokQ+A2gtgrjux1Hom5wYWNxCT10IDFiHENmCxcAXrEOUSRT6y4EvWecQ2YZRYJbVzYtd6EG8BL3AxU0XaGV7W1wMrLYOIbIV10WhP9fq5sUu9FQI/NE6hMgY80iP/5SMRaG/CoPVwyLjsB74pGWA4hd6EK8GzreOITLG+QTxqHWIErsUWGodQmQzn89zV7gtKX6hAwTxN4EfW8cQAW4giPW92EZR6K8DzrDOITLGMtKPg0yVo9BTHwUGrUNIpa0EzrMOUQVR6M8GbrbOIdJyQRT6a61DlKfQg/hJ0sdaRKzMIoiftQ5RIWeh9TNi707gausQUKZCT11MukOPSN5uJ4ivtQ5RJVHoPwucY51DKm0V8EGLTWS2pFyFHsTDwEloi0jJ1xrgI9YhqigK/f8Dvm+dQyrrjCj0l1iHeF65Ch0giB8l3RZWJC+nEsTPWIeosNPRs+mSvxuj0L/ROsRY5Sv01P8At1uHkEr4OkGsxVmGotBfih5dlXwtxsEnLcpZ6EGcACeTPkog0i7zgHOtQwhEoX8NBqdbSSUlpJ+br7IOsrlyFjrQOhTjJNI/fJGsrQXeTRDrUUl3vB94wjqElN7lUej/yDrElpS30AGC+EfAp6xjSCmdQRAvtA4hm0ShHwPHky5SFGmHucDHrENsTbkLPfVptAGFZOuLrd0JxTFR6C8gHalrZk6ytgw4Lgp9Z0/4LH+hb/o8/RfGSaQcfogWYDktCv1b0cycZGsAmB6F/iLrINtS/kIHCOIB0qk4Z54XlEL6JfBeHbxSCJ8GvmcdQkohAd4fhf4j1kG2pxqFDs+fnT6d9J2WyEQtAd5BEJvv1yzb19q56yS0c6RM3iei0L/FOsR4VKfQAYJ4DjATGLaOIoWyDjiOIDY9GlEmpnVYxgzS7TlFdsS1Ueh/1jrEeFWr0AGCuAm8DxixjiKFMEBa5o9aB5GJi0L/SeAfSR8zFJmI+4DTrENMRPUKHSCIvw18CK2ElW0bAo4niO+2DiI7Lgr9h4Dj0MdtMn4LgBOi0C/UuSDVLHSAIL4OONM6hjhrA3BCay8DKbgo9O8BTkQHN8n2LQDeHIX+c9ZBJqq6hQ4QxF8FZlnHEOcMAzMJ4tusg0h2otC/HXgPWkMjW/d8mRdy23AvSTTrTFD7MPA1oNM6ipgbIn00TY88lVS90TwO+A7QY51FnFLoMgcV+iZB7QTgW0CvdRQxsxqYQRDfax1E2qveaPrALej1LqlfAm+PQn+FdZDJUKGPFdSOBmYDLzZOIvlbDBxLED9uHUTyUW80jyEdqev1Xm0/A/zWWQCFpkLfXFDrIz1LfU/rKJKb+aRl7vS2jpK9eqN5KOmxq3XjKGLjTuCdUeivtw6ShWovituSdPOZw0mnYKT87gemqcyrKQr9x4GppKM0qZavkR62UooyB43Qty6o7QJcBbzXOoq0zReBfyWIN1oHEVv1RrMXuIJ0u1gptyHgzCj0r7YOkjUV+vYEtVnARWgFfJmsAz5MEN9oHUTcUm80G8B/A551FmmLZ4ATo9B/2DpIO6jQxyOovRW4EfgL6ygyab8l3TBGi99ki+qN5gzgemBX4yiSrfuAmUVfyb4t+gx9PIL4LuB1gLYALbbvAK9Xmcu2RKE/G5gGPGEcRbLzJeAtZS5z0Ah9YoJaB/BvpGcta1OK4lgFnE0Q32AdRIqj3mjuTPpx21loCr6oBoCPRKF/vXWQPKjQd0RQey1wHfAa6yiyXbeTfl6+xDqIFFO90TwauAZ4hXUWmZB7gVOj0P+tdZC8qNB3VFDrAS4APoZG6y7qB2YRxFdaB5HiqzeauwGXAh80jiLbt4b05/IVUehXquBU6JMV1F4NXAa8zTqKvOAW4HyC+GnrIFIurX3grwT2ts4iW/QD4PQo9BdbB7GgQs9KUJsJfAF4mXWUCnsc+BeC+CfWQaS86o3mS4DLgXdbZ5EXPAucE4V+pR9FVaFnKajtSjoNfx6ahs/TauBC4CvaJEbyUm80pwGXAG+wzlJx1wPnFvH88qyp0NshqP0labF/AOgyTlNmQ6TTn58iiP9oHUaqqd5ovgv4LHCgdZaKuRv4ZBT6D1gHcYUKvZ2C2oGkI8d/Qs/8Z2kYuBb4L+3BLi6oN5rdwEeB/wReYhyn7B4kLXJ9tLYZFXoegtpBQAC8CxX7ZAwBVwMXacGbuKi1Gr4BnAvsbJumdB4FLohC/zbrIK5SoecpqNVJN6k4BZhimqVYlpNOrX9Vz5NLEdQbzf2AWaSv9d2M4xTdr0lnOr9btcfQJkqFbiFdPHcScDZwkHEal/2MdDXxLQTxBuswIhPVGrGfCpyDNqaZqPuBLwPfiUJ/1DpMEajQLQU1D3gLabm/E3iRbSAnxMDNwOUE8VzrMCJZqDeaXcDxwOnA0Wgr2a1ZC9wAfCUK/XnWYYpGhe6KoLYzMB14H3As0G0bKFdrgVuBm4A7COIh4zwibVNvNF8FnAacDOxhm8YZD5Jur3tTFPprrMMUlQrdRUFtD9IFdD7pu/kyjtz7gTtIS7xJEA8Y5xHJVWtl/JtJZ+eOB/axTZS7P5AeS31tFPoLrMOUgQrddeme8X9POmo/luIeCLMReAj4EXAX8JA2gRFJ1RtNj3SDmhmkBf9XpoHaYxj4KXAbcFsU+vON85SOCr1ogto+wBuBqa2vPuDFppm2bCXpYyZzSBe33UMQ99tGEimGeqN5CGmxvwM4jOLuPLmY9MTD24C7otDXz4A2UqEXXXpG+1+TlvuhpLtVHQjsTz7Pwa4DIuApYB7Pl3gQRzncW6T06o1mL/A6Nr2JP4L0Ne7awroh0kfM5ra+7olCXwtbc6RCL6t0Bf1+pC/8OunpUHuR7mK1O+lz8DXSxXcdpD8cnv/VI50eW936isf89XOkn309BTxFED+bw3+NiIxRbzR3Bw4nLfjXA68kPRgqr0V2K9hU3L9s/bogCn19jGZIhS4iUhL1RnMX0mJ/+Wa/voz0TfxOQO+YL4BkzK8bgD+SFvbWvpbpIBQ3qdBFRERKQPuKi4iIlIAKXUREpARU6CIiIiWgQhcRESkBFbqIiEgJqNBFRERKQIUuIiJSAip0ERGRElChi4iIlIAKXUREpARU6CIiIiWgQhcRESkBFbqIiEgJqNBFRERKQIUuIiJSAip0ERGREvh/1hBguorCPAcAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 600x600 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_pie_charts(df, \"Time comparisons\", (\"time\", \"sum\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "plotlyServerURL": "https://plot.ly"
+       },
+       "data": [
+        {
+         "domain": {
+          "x": [
+           0,
+           1
+          ],
+          "y": [
+           0,
+           1
+          ]
+         },
+         "hovertemplate": "function=%{label}<br>time_sum=%{value}<br>parent=%{parent}<extra></extra>",
+         "labels": [
+          "Py_kgeneration",
+          "generate",
+          "fftma2",
+          "covariance",
+          "gasdev",
+          "fourt",
+          "cov_value",
+          "ran2",
+          "build_real",
+          "prebuild_gwn",
+          "clean_real",
+          "cgrid",
+          "length",
+          "maxfactor"
+         ],
+         "marker": {
+          "colors": [
+           "#636efa",
+           "#EF553B",
+           "#EF553B",
+           "#00cc96",
+           "#ab63fa",
+           "#00cc96",
+           "#FFA15A",
+           "#19d3f3",
+           "#636efa",
+           "#00cc96",
+           "#636efa",
+           "#636efa",
+           "#636efa",
+           "#636efa"
+          ]
+         },
+         "name": "",
+         "parents": [
+          "",
+          "Py_kgeneration",
+          "Py_kgeneration",
+          "fftma2",
+          "generate",
+          "fftma2",
+          "covariance",
+          "gasdev",
+          "",
+          "fftma2",
+          "",
+          "",
+          "",
+          ""
+         ],
+         "type": "treemap",
+         "values": [
+          1501.888817,
+          1208.273905,
+          293.611836,
+          292.433842,
+          900.1047759998413,
+          1.139109,
+          125.02385099985185,
+          286.1393099999744,
+          0.019131,
+          0.00935,
+          0.005629,
+          0.001644,
+          0.001072,
+          0.000309
+         ]
+        }
+       ],
+       "layout": {
+        "autosize": true,
+        "legend": {
+         "tracegroupgap": 0
+        },
+        "template": {
+         "data": {
+          "bar": [
+           {
+            "error_x": {
+             "color": "#2a3f5f"
+            },
+            "error_y": {
+             "color": "#2a3f5f"
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        "\n",
-       "                    time                                                  \n",
-       "                   count         max        mean         min         sum  \n",
-       "function                                                                  \n",
-       "Py_kgeneration       1.0  415.639768  415.639768  415.639768  415.639768  \n",
-       "generate             1.0  329.579564  329.579564  329.579564  329.579564  \n",
-       "fftma2               1.0   86.059132   86.059132   86.059132   86.059132  \n",
-       "covariance           1.0   85.894170   85.894170   85.894170   85.894170  \n",
-       "gasdev          262144.0    0.011277    0.000909    0.000193  242.610944  \n",
-       "fourt                3.0    0.066393    0.050588    0.042309    0.151763  \n",
-       "cov_value       156816.0    0.000575    0.000221    0.000193   34.674709  \n",
-       "ran2            333450.0    0.000691    0.000218    0.000190   74.079918  \n",
-       "build_real           1.0    0.001935    0.001935    0.001935    0.001935  \n",
-       "prebuild_gwn         1.0    0.002618    0.002618    0.002618    0.002618  \n",
-       "clean_real           1.0    0.001551    0.001551    0.001551    0.001551  \n",
-       "cgrid                1.0    0.003504    0.003504    0.003504    0.003504  \n",
-       "length               3.0    0.001141    0.000827    0.000668    0.002481  \n",
-       "maxfactor            4.0    0.000198    0.000195    0.000193    0.000780  "
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       ]
      },
-     "execution_count": 118,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "df = analyze(['log_64-aa', 'log_64-ab'])\n",
-    "overall_time[\"64\"] = df.loc[\"Py_kgeneration\"][(\"time\", \"sum\")]\n",
-    "overall_memory[\"64\"] = abs(df.loc[\"Py_kgeneration\"][(\"memory\", \"median\")])\n",
-    "df"
+    "plot_treemap(df, (\"time\", \"sum\"), \"time_sum\", \"Time treemap\")"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Comparación de tiempos"
+    "### Comparación de memoria"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 119,
+   "execution_count": 44,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/oli/.local/lib/python3.6/site-packages/ipykernel_launcher.py:13: RuntimeWarning:\n",
+      "\n",
+      "invalid value encountered in double_scalars\n",
+      "\n"
+     ]
+    },
     {
      "data": {
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\n",
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\n",
       "text/plain": [
        "<Figure size 600x600 with 4 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
    "source": [
-    "plot_pie_charts(df, \"Time comparisons\", (\"time\", \"sum\"))"
+    "plot_pie_charts(df, \"Memory comparisons\", (\"memory\", \"median\"))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 120,
+   "execution_count": 45,
    "metadata": {},
    "outputs": [
     {
@@ -7569,7 +14897,7 @@
            1
           ]
          },
-         "hovertemplate": "function=%{label}<br>time_sum=%{value}<br>parent=%{parent}<extra></extra>",
+         "hovertemplate": "function=%{label}<br>memory_median=%{value}<br>parent=%{parent}<extra></extra>",
          "labels": [
           "Py_kgeneration",
           "generate",
@@ -7623,20 +14951,20 @@
          ],
          "type": "treemap",
          "values": [
-          415.639768,
-          329.579564,
-          86.059132,
-          85.89417,
-          242.61094399984552,
-          0.15176299999999998,
-          34.67470900000529,
-          74.07991799999752,
-          0.001935,
-          0.002618,
-          0.001551,
-          0.003504,
-          0.002481,
-          0.0007800000000000001
+          502.7,
+          487.7,
+          33.3,
+          51.2,
+          0,
+          1.5,
+          0,
+          0,
+          0,
+          1.9,
+          14.7,
+          0,
+          0,
+          0
          ]
         }
        ],
@@ -7659,6 +14987,11 @@
              "line": {
               "color": "#E5ECF6",
               "width": 0.5
+             },
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
              }
             },
             "type": "bar"
@@ -7670,6 +15003,11 @@
              "line": {
               "color": "#E5ECF6",
               "width": 0.5
+             },
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
              }
             },
             "type": "barpolar"
@@ -7868,9 +15206,10 @@
           "histogram": [
            {
             "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
              }
             },
             "type": "histogram"
@@ -8452,15 +15791,15 @@
          }
         },
         "title": {
-         "text": "Time treemap"
+         "text": "Memory treemap"
         }
        }
       },
-      "image/png": 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n3BFAAAEEEEAAAQQQCKEAkRPCReWUEEAAAQQQQAABBBCIsgCRE+XV59wRQAABBBBAAAEEEAihAJETwkXllBBAAAEEEEAAAQQQiLIAkRPl1efcEUAAAQQQQAABBBAIoQCRE8JF5ZQQQAABBBBAAAEEEIiyAJET5dXn3BFAAAEEEEAAAQQQCKEAkRPCReWUEEAAAQQQQAABBBCIsgCRE+XV59wRQAABBBBAAAEEEAihAJETwkXllBBAAAEEEEAAAQQQiLIAkRPl1efcEUAAAQQQQAABBBAIoQCRE8JF5ZQQQAABBBBAAAEEEIiyAJET5dXn3BFAAAEEEEAAAQQQCKEAkRPCReWUEEAAAQQQQAABBBCIsgCRE+XV59wRQAABBBBAAAEEEAihAJETwkXllBBAAAEEEEAAAQQQiLIAkRPl1efcEUAAAQQQQAABBBAIoQCRE8JF5ZQQQAABBBBAAAEEEIiyAJET5dXn3BFAAAEEEEAAAQQQCKEAkRPCReWUEEAAAQQQQAABBBCIsgCRE+XV59wRQAABBBBAAAEEEAihAJETwkXllBBAAAEEEEAAAQQQiLIAkRPl1efcEUAAAQQQQAABBBAIoQCRE8JF5ZQQQAABBBBAAAEEEIiyAJET5dXn3BFAAAEEEEAAAQQQCKEAkRPCReWUEEAAAQQQQAABBBCIsgCRE+XV59wRQAABBBBAAAEEEAihAJETwkXllBBAAAEEEEAAAQQQiLIAkRPl1efcEUAAAQQQQAABBBAIoQCRE8JF5ZQQQAABBBBAAAEEEIiyAJET5dXn3BFAAAEEEEAAAQQQCKEAkRPCReWUEEAAAQQQQAABBBCIsgCRE+XV59wRQAABBBBAAAEEEAihAJETwkXllBBAAAEEEEAAAQQQiLIAkWNp9V96PSNls1IsVncEN/+7fi5utnWzTWPn5ma/Fbfx4tMSY3uZ3+q2Xd28ozJ21M/fy++TXO8Jr78HvPxey/fYzRmvsXl7HS+XJd9HAAEEIiBg/ph44OB4BM7U/1MkciyZm8h5aWTa0ugMiwACCCCAAAIIIBB0gYP3SxA5lhaRyLEES+RYgmVYBBBAAAEEEEAgJAJEjr2FJHIs2RI5lmAZFgEEEEAAAQQQCIkAkWNvIYkcS7ZEjiVYhkUAAQQQQAABBEIiQOTYW0gix5Lt6iInHpdG3FGkVKruwJmsNHtOVs++lNb4SdkmzWav3eLq2SOmh58IxmeABg2I68PRGedc/3RaUp98ntGoT+t+zQsBBBBAAAEEEIiKAJFjb6WJHEu2uSJn2JUpLViYlYmerfvFddKxCV1yTa0qFnufUCFFjnlKiHnI0upe5vu3XVOk8y6rdTZpVSbVpqTaul/yQgABBBBAAAEEIiNA5NhbaiLHkq3byKk//JUXJvXiaxkduE9cr72Z0Wdf1l3Z6L95XIfsF9dVNy+/9NPIfFeMnA7tY7r4nITuezSt76dlddJvE9pg3Zjm/ixN/jarzh2lBx9Lq1vXmE44OqF2baXqaunx59Ka+l1WfXrFdPJxCY0bn9WG68ec7z/+7C9XmfbfO66B28WlrDRxclZPPZ9WKi39381Feu2NtPb5TULDrqhVj+4x/e6ohFq1qgsYM8ak/2V1xqkJbbl5XD/NzurOe9I6/qhEw5WcbbeM66B940rEpUWLpUeeSmvW7Kz23DWu3j1jKiqSunSOOd+/+8G05s1v2pUvS0vOsAgggAACCCCAgCcBIscTl6eNiRxPXO439ho5V12UdG5Z69Etpg3Wi+nuB+puPRtybEKz5mQ18s3V385VHzlPPJvWn89O6o13627/2m1QXAO2ieuW/0upbXlMl5yb0Phvss5tbVcMS+rdDzJ67+OM1lkrpjNPTeiiq1JO/Jjg+uuIlL6emNX2W8f1m13iuuHOlLbcIq7DDqj73yaMhp6ccMLlrf9m9JcbivTBqIxzDuZKzuXDknrr3Yw+GpPR9tvEddA+cV12XUptWku3Xl2k08+vu3RTf7va5KlZDf9zUtfemtKcn7PaZce4dt4hrutuT2mPnU38JHTljbVaVCEnnpYsk55/JRi357l/17AlAggggAACCERJgMixt9pEjiVbt5GTSEjmCsaxRyR08TW1Ki6K6frLkjr/ilonJG6/tkjX3ZbS3Hmrv2pRHzklxdKsOWr493lOOzGhqd/XRYh5mTiIJ6SXX8/omkuSOvPC2oZbyy47P6lnXkxryVLponOSOuvPdRFirqD86bSELhye+lVw9dsspsF7JHTLXSndeX2RE0bffl83z+IiOVd4Mhk5V4NuHl6kP5xXu9rIKUpKW/WLO2OYl7lqc8+tRTrroloN3DauTTeO6f/uq4ua3+wa19p9Ynrwn0SOpbcvwyKAAAIIIICADwJEjj1kIseSba7IaXjwQEaaOSurp15I639T6wLhgjOT+nhMxrkd64iDErr2ttXfqma2N5Fz4D4JJZOSuZrz/qi6qDnvj0l99MkvH+rff6+4OneO6b8fZnTJuUnnM0H1r5KSmB59uu72sHOGmlvO6o7Zq0es4dfmqst668RUXV23n/k8kfkM0TW31kXODXekNHtu3ffMFaDdd47LRJy5vczcBnfauauPnI4dpO7dVg6Xu28p0vCbUtp8k5hz3PsfrYsac2VnxV9bWkKGRQABBBBAAAEErAoQOfZ4iRxLtrkip/7BA40dfueBcefqjrlNzYTOf95Z85PHTOT03yyuJ59P6/wzkk4Umf2GDklo0pSs3nm/bn/z+RcTHS+NzOjqi5LOVZJVXytGzaqRc+JvE5r5U9a5HW7Vl4mc62+vu9WsQ7uYrr88qatvSTmfvTGfE7rpyuQaI8dcydm6f1x/ubcuroqLJRM55mrTjtuvHDVEjqU3LcMigAACCCCAgK8CRI49biLHkm1zIsd8WN/c3mVuVzOfSZm/YM0fsF/xwQP77RXXphvFddvdKQ3eI65N+8Z1xz0ptW8b06XnJ/TVxLrP5JjPzPz77Yw++Syj8jbSbw9L6OGn0urc8ZcrN6tGjnlggHkwgrk9rapazudm0mk5j4NeMXJMKA07K6kLrqh1blc77ICEM5czhtUqkZT+cn2Rcztcdc0vn8n5ZkrWCS9zVciEkvkckAm9m/5a95kcruRYeqMyLAIIIIAAAgi0mACRY4+eyLFk25zIMVM68/cJlbeOOR/yz/VaMXLMLWTmVjRzu5v50P9pJyTVq6c0Y6Y0fWbW+UzMw0/+8nS1ju3r/q2eN97J6N0PMyvdnrZq5Jhfm1vezJUVc0Vo9lzpH4+ntXBRdqXIMdudfHxCfdePaeky6ekX0zp4n4Rze5s5H3Mb3Vq9Y85VmwMH//J0tW22jOtg83S1hDR/gfTIk2nns0hETq53AN9HAAEEEEAAgSAKEDn2Vo3IsWS7ushxezjzeOcfZ2T1zgfN+0cyV/x3a8wTyswDAcwT0HghgAACCCCAAAIItKwAkWPPn8ixZNucyOnZPaZzhyZ0xQ0pVVY1fYLm9rIjD6n7N3ZM7Fx8TtL5PM7n45oXTk2fEXsigAACCCCAAAII1AsQOfbeC0SOJdumRs7hByY0aEDc+Ycwv/yqLka6d43pj6ckGp2p+WD/PQ82fmXG3B527OEJ9d885nw25tMvsw3/jo2l02ZYBBBAAAEEEEAAAZcCRI5LqCZsRuQ0Ac3NLk2NHDdjsw0CCCCAAAIIIIBA8AWIHHtrSORYsiVyLMEyLAIIIIAAAgggEBIBIsfeQhI5lmyJHEuwDIsAAggggAACCIREgMixt5BEjiVbIscSLMMigAACCCCAAAIhESBy7C0kkWPJlsixBMuwCCCAAAIIIIBASASIHHsLSeRYsiVyLMEyLAIIIIAAAgggEBIBIsfeQhI5lmwbixzzj3HyQgABBBBYWeClkWntvXtcpaUxaApUwKwRLwQQyL8AkZN/0/oRiRxLtquLnL0XP2TpiAyLAAIIBE/gw07H6YkX407kHJB8XvHKiuCdRMhn/Fa7E/T8q9mQnyWnh0DLCBA59tyJHEu2a4qcqmcetHRUhkUAAQSCI1BywDH6qPfvV4qcmkfuDM4JRGCmpYedqLc6DiFyIrDWnGLLCBA59tyJHEu2RI4lWIZFAIHQCBA5hb+URE7hrxEzDLYAkWNv/YgcS7ZEjiVYhkUAgdAIEDmFv5RETuGvETMMtgCRY2/9iBxLtkSOJViGRQCB0AgQOYW/lERO4a8RMwy2AJFjb/2IHEu2YYmccbVx9Upk1SnOh04tvVUYFoHICniJnPuWFen9mqTOal2jZVnpgWXFGlyS0m9KUlqYiWnjZCYvjpVZacSyYn1ZG1cyJucYR5Sm8jJ2EAchcoK4asw5SAJEjr3VInIs2QYlcswfC+JrMLhpSbEOLU1pozz9AcISN8MigEAABbxEzpCFpbqqvEZrJTK6dUmxNivKaN+SlF6pSsokyCF5CpEHlhWpIhvTGa1qtCgb0yWLS3Ru6xptGtGfgUROAH9jMeVACRA59paLyLFk25TIeaEqqderk2oXy2qvkrT+VZXU3e2qnBma//3fmqTMvyKxRTKtE1vVKinppIWlOq4spVG1Cc1Ox7RHSUqHLf+P/ee1CT1Waf4AEFO3eEZDW9WqQzzr/KHgh3Rc36dj2rooo2PKavXwsiKNqU3IXK/ZLJnR6a1r9HJVUk9XFqljPKvftarVgKK6OTU2D0uMDIsAAiEWcBs5tywpdn4+9UhktWEio09qE2oVyzo/qz6vjSsRk3YvTjs/375LxZ3omZaOqXM8q71L0nq9OqGf0nEdVVarXYrTzs+5xn7mmX/J7NPahNZOZNRl+dVr8xc92xWltUdJNP+dGCInxL8BObWCECBy7C0DkWPJ1mvkzEjHdNniEt3Rtlpt4lmZ/6jPSMf1f+2qnP+4P15ZpOvKq1Uay+q25X+LuV9JSicvLHWC6LdltZqfiemMRaV6qH2lKrMxnVNRoquX/82nCZZJqbiGtanRyOqknq1M6vq21eoWzzr/UX+sskg3l1fJVNTFFSXO1ZtBxWmdV1Gi01vVOldy1jQPS4wMiwACIRZwGzmG4MSFpbq9bbVz6+zNS4q1Q3HaCRZz5cV8zVzJMX9JZP4ixvwcLYtl9cdFpepfZP6Cp0YTUnHdu6xYf2lbtcafeStym1vXzq4o1ZVtqp3bdqP4InKiuOqcs58CRI49bSLHkq3XyHmjOuncA24ixLw+rEnoicoiJ3LuXlqsnolMw+0Y5grNS1VJDS+vdiLn8vIarZuoux/dXNm5uW21Jqbi+qAmoUuXj1eVNd8r0+MdKvWf6qQ+q403fM/8p7s6K9X/Y+P3Lity/hbTXBFaMXLWNA9LjAyLAAIhFrAROeNTcZ3fuu7n6OWLS5xb2nYsTjt/CXRORakeaV/pXMlZ3c+8eu6arHTr0mJtmMzoyDzdChfEpSRygrhqzDlIAkSOvdUicizZeo0c87ePszNx528czeubVFx3LS12IueGJcX6XyreECEmZ8wtbTe1rYscc0Wm+/JbK+p//UlNQk9XFalt7Je/fTQf1r2zbbVza5sZ/+zlfxAw958/uqxI0zMx53a4OZmY8weDw1eJnDXNwxIjwyKAQIgFbETO1FRcZyz/2Xbl4hIdVJrSNkVp5+EEZ1aU6p/tK53P3KzuZ57hXpqN6cYlxdo8mdHRZbUhXoHcp0bk5DZiCwSaI0DkNEdvzfsSOZZsvUaOuc1ixb+B/Kim7hY1Ezn3LCt2Pmy7f8mvn/CzusiZnIprVE1CFy6/krPiaZpjme//afkfBMyVm1Q2pqGta5yHEJjjdY1nfhU5a5qHJUaGRQCBEAu0VOSs6WdebVa6ekmJBhanZW4JjvqLyIn6O4Dzty1A5NgTJnIs2XqNnCmpuHPF5s521c4Haq9fUuI8SMBEjvnMzDOVdbenlcWkN6uTSsay2q04vdorOWWSc6vZtW2r1SOelRn/vZqETm5V69y3vmLk3La0WBslMjqwNKXv03Hn80AfefgBAAAgAElEQVTm9o7jymo1rKLEebDBlkXpNc7DEiPDIoBAiAXyETkPLStSUUzOzyvzs83NlZw1/cx7pirpXPX5fatoX8Gpf9sROSH+DcipFYQAkWNvGYgcS7ZeI8dM45HKIudzNObzMOYDteYpaHet8HS1d2uSSmflfD7nj8uflLa6Kznm9rX6p6tVZ2POh3BPaVXr/FsSq0ZO/a1x5t+EME8u2q44rbuXFunM1rXOE9heqipyHmxgbmEzt9U1Ng9LjAyLAAIhFshH5Jh/y+vWpSXOLWl9kxlXkbOmn3nmQQYLMrGVHq2/d0lKJ0U0eoicEP8G5NQKQoDIsbcMRI4l26ZEjvn0jPlMjHmZW9f+WVmkG8qrLc2QYRFAAIGWFfASOS070+genciJ7tpz5v4IEDn2nIkcS7ZeI8d8EPbMRaXOY6L7JDLOE9XM1ZchEf3bQ0vLwrAIIFBAAkROAS3GaqZC5BT+GjHDYAsQOfbWj8ixZOs1csw0zGdtzO1g5ulp6yUyGtq6VuUrPB3N0lQZFgEEEGgRASKnRdg9HZTI8cTFxgh4FiByPJO53oHIcU3lbcOmRI63I7A1AgggEGwBIqfw14/IKfw1YobBFiBy7K0fkWPJlsixBMuwCCAQGgEip/CXksgp/DVihsEWIHLsrR+RY8mWyLEEy7AIIBAaASKn8JeSyCn8NWKGwRYgcuytH5FjyZbIsQTLsAggEBoBIqfwl5LIKfw1YobBFiBy7K0fkWPJlsixBMuwCCAQGgEip/CXksgp/DVihsEWIHLsrR+RY8mWyLEEy7AIIBAaASKn8JeSyCn8NWKGwRYgcuytH5FjydZL5JQeebKlWTAsAnUCmbk/qebdkXAgUFACbiLHbBMra1VQ8w7zZKqeeXCl0yNywrzanFshCBA59laByLFk6zVyvi05ydJMGDbqAuWdKtVp7J1ETtTfCAV4/m4j5/49B2l+LF2AZxCuKQ0bNUE1T4wgcsK1rJxNgQsQOfYWiMixZNuUyJnwEv8Rt7QckR52wJAaIifS74DCPXkvkfOnn0YV7omEYGaX9dhGF4+eROSEYC05hWAJEDn21ovIsWRL5FiCZVjPAkSOZzJ28EmAyPEJ2sVhiBwXSGyCgAUBIscC6vIhiRxLtkSOJViG9SxA5HgmYwefBIgcn6BdHIbIcYHEJghYECByLKASOfZQzchEjl1fRncvQOS4t2JLfwWIHH+913Q0Iqdw1oKZREuAyLG33lzJsWQblMj5x49H6qie96h1orMlCYZtaQEip6VXgOOvTiCokbPlQx9pdv/e+mmrtUKzuEROaJaSEwmYAJFjb8GIHEu2RI4lWIb1LEDkeCZjB58Eghg5sWxWiaqUMkVxZZIJn6TsH4bIsW/MERBoTIDIsfe+IHIs2eYzcr5c9LTGL3lVZfF22qR8X32x6Ckd2+shSVl9tOA+fb/MPHUoox6l/bRrp7MVV0JjK57TxMUjlVVGZYkO2qPzMLVNdtePlZ/pw/n3KBaLa8PWu2tsxb8aruRMq/xEoxc8pIxSKk92126dzlEyVqJHph+n43s9rNJEO0frw/n3Khkr1oAOQyzpMWw+BYicfGoyVj4F8hE5Xb+eoQ3+PUGJ6pTmr99FEw/fWplkXN2+mqH13pyoWDqj6vJSTTpsK1W3KdUu172mDy7eRzWtS5xT6fvyWKWTCU3ZZ3Nt9Oo4dZnwk0zILFiviyYcvrWy8Zj6P/yxlnZvqx6f/aAJh2+jPh9PbbiS0+PzaVr37UmKZbKqal+m8Udvp6p2ZVrrwylq81OF4qm0yuYtVSyT0bjjd1BVh1ZKVtZqk399rnbT5itdktQ3B/bX/A27Ouew8YtfOl/PxuP6cdD6mj5g3XySr3YsIscXZg6CwK8EiBx7bwoix5JtviJnQe2PenHWBTqq599VGi/Xv+deo4W10/XbXg/oh8rRGr3gHzq8x18lxfT8rHO0Zduj1LtsKz0541Qd1+thFcXL9M2SN5TKVmvT8v302PQTtWunc9SnbBtNWPyqPph/t47r/bBiSuipmafp4O63qmPR2hpX8S/Nqp6gvbtcptfmXK71W+2ivm32crQen3GS8/XOxRtY0mPYfAoQOfnUZKx8CjQ3ckoqqjTgL29pzJm7O2HR/9GPtXDtTpq1ZR/t8Je39MmZu2tZpzbq9cl36jXme31yxu7a6sEPNbtfb83cdm3nVHa66XWNPX4HlVZUaoOR4zX6T7s7P0+3/9s7+m63vk7M9PvnKBUvqdbnp+ykTFFC9ber/dy3u3a+fqQ+Pm9PVXZsrU3+9YXZVRMP3Up9PprqRNbH5+6pmvJSbfL8F6ppVaypgzdT35fGKhuLafKB/dT2xwXa+sEP9N6l+2mD18eraGmNxh+1rYoqa7T9XW9r3AkDtbhH3V8w2XwROTZ1GRuB1QsQOfbeHUSOJdt8Rc6Exa9petXnTlSY15Sl/9WYhY84kWOu5NRmq1QUK3O+9968u1Se7Kot2h6qR6cfpwHth2i91jupNN7W+f7C2h/1/KzzNKTPM86v09ka3T/tEB3f+xHNqBqrKUvf1X5dr3G+V5ut1EPTjtKpa7/oRNIPlZ9ocJfL9XPNFL0x94blx7eEx7B5FSBy8srJYHkUaG7kmCsrXcfP1NgTBjqzStSmnXjo/sU05+tfnrSj83VzNWWPy17Uu8MPVNevZqjLpFka+7sdVD5jofo9PlofDhtsfpwqUZtSujjp7GOCxVx1+W73vur3z9Gq6N1e3+/W1/neip/JMVdfzNUY8+o+9kf1/PQHJ4ZM5HScMqdhbn0+nKq2MxY4ATPoptc17nc7aHHP9s5+RZW1qi0r0qCb/62vf7udFvXp6Hx9w9e+cubz7Z6b5FG98aGIHOvEHACBRgWIHHtvDCLHkm2+IsfcmlaRmuXchmZes6sn6u2fb3Uioyq9SB8vfMCJF/NanJqtzcsP1Nbtfqufa6bqi0VPO4HUpXgj7drpLC1LL9BbP9+0/Fa3uhN/YNqhOqbXfU48fbrwMZUl6oLIvKozS3V0zxGKxxJ6YsYpOqH3Y/p80VPOLXDbtz/RkhzD5luAyMm3KOPlS6C5kbP2e5PVZlaFEw4rvtZ55xu1nrt4pa/vfvmLGn3Ob1RbVuzExHuX7ad13/lGymSdqyvFS6u14Wtfq/WcCmUVU9mCpfpxx/X13R4bO5Ezb6NumrH9Os5h6iPHXDEyV2s6TZ7tfN3chlbVvpU+P7Uuctr9OF9fH72d870Vf23mMurcuqs/K752v+IlpUqLlE3EnC/HUxnN6tfbueJj+0Xk2BZmfAQaFyBy7L0ziBxLtvmKnPGLX9HMqnHaq8slzkynLn1Pnyx82Ikcc+UmrVrnszMxxfXfeX9xruSYyKl/ZbIpfbbocc2r+U4DOpysF1a4kmOu1jw47XDnSo45xrfLPtDgLlc0KvLK7EvVr+3Bzu1x5vM9nYrXsyTHsPkWIHLyLcp4+RJobuSYKzndx03XF0MGOVMyV0QSNSl1nDxb3b6e0fB1c4XHhMU7Vx3kXHXZ+v4PNG2nDbTByK81/pjtnNvBzJWbeDrT8DmcTZ/7XJXmSk595PTtphnbrRw55vM667z9jT49fVelyorU44tp6vHZtJyRY67kfHXsAFX06eDMu9Xcxarq0FoD73hD444zV3js35626hoSOfl6VzMOAt4EiBxvXl62JnK8aHnYNl+RM7dmsl6bc6WO7nmvimOtnP+9ODXLiZw35l6nbiWbqF/bwzSv5lv9e+61Wr/Vzlqn1UCNrXhWv+l8oRKxYk1e+pamLn1fg7tcpkdn/E57dLrA+UyOeTiBiZbjej+kuJJ6+qehOqTbbWpX1FPmuJOXvK1BHU93ztrcNvdj1WdaUDtNx/S8z4MEm7a0AJHT0ivA8Vcn0NzIKamo1MDb39SYP+6qZZ3LtcUTn6iiV3vn0c4D73hTn5xV95kccxXFPIjg0z/s4kyl1+jv1HnybLWeXaGPLtjb+Zq5WrNo7Y76YecNVf7TIvV7dJRmb9FLU/bdvO5KTiORY67cdPrfbH154o5OYG3x2Gjn4QFjzthtjVdyzMMF4rUZTTx8K7WZuUhb3/++3l/+mRwTZBMP2cp5UMGGI7/WrK3Wcs7J9ovIsS3M+Ag0LkDk2HtnEDmWbPMVOWZ6Hy+4X1OX/ldtkl20Yes99FXFCzqm1/0Nt64lYkl1KemrdcsG6p15t2v3zufrp6qvnCsz5oECrRIdnNvdOhSt5TyJ7aMF9zqf59m4zWAnXszDBsqT3VT/dDXzkALzwIKdOg5V95LNHCFza9yj04/Xlu2O0nbtf2dJjWFtCBA5NlQZMx8CzY0cM4du46Zr/f9MULI6pXkbdG14upr57M36y5+uZm4hm3jYVg23h5lb03a+7jXnMzZT997UOZV2P8zT5k9/qkwiroo+HTVn0x7a7NnPnFvezNWZxiLH3MLW/6GPnYcEVLcr05R9NlP/R0ZpxrZrOw8bWN3taiaINnnuc7X/YZ5ze9o3B/XTvA27NTxdzXzdPK1t7sbdNfmAfsom4vngXuMYRI51Yg6AQKMCRI69NwaRY8k2n5GTde4Qr7tH29xWNmrBgzqsx52WZs6wYRMgcsK2ouE5n3xETng0WvZMiJyW9efo0RUgcuytPZFjyTZfkWOuoDw+82Qd2v12dShaW+/Ou0NFsVYa1PEPlmbOsGETIHLCtqLhOR8ip3DWksgpnLVgJtESIHLsrTeRY8k2X5FjpjdxyUjnSWnmqWadi9d3/p2b+sdCW5o+w4ZIgMgJ0WKG7FSInMJZUCKncNaCmURLgMixt95EjiXbfEaOpSkybEQEiJyILHQAT5PIKZxFI3IKZy2YSbQEiBx7603kWLIlcizBMqxnASLHMxk7+CRA5PgE7eIwRI4LJDZBwIIAkWMBdfmQRI4lWyLHEizDehYgcjyTsYNPAkSOT9AuDkPkuEBiEwQsCBA5FlCJHHuoZmQix64vo7sXIHLcW7GlvwJEjr/eazoakVM4a8FMoiVA5Nhbb67kWLIlcizBMqxnASLHMxk7+CRA5PgE7eIwRI4LJDZBwIIAkWMBlSs59lC5kmPXltG9CRA53rzY2j8BIsc/61xHInJyCfF9BOwIEDl2XM2oXMmxZJuPKzmbHpSwNDt3w054Ke1uQ7YqaAEip6CXJ9KTa07knN+tv8oTxXn3Gz5zTN7HDMKARE4QVok5hlGAyLG3qkSOJdt8Rc7IHVKWZrjmYU8vL9LIs1rm2C1ywiE+KJET4sUN+Kk1N3KuX7xIxTXL8qYwfYNd1GfSs3kbL0gDETlBWi3mGiYBIsfeahI5lmzzGTm3zamxNMvGh+2YiGn0Oq2IHF/V7R2MyLFny8jNE8hL5Iz5Z/MmUb93u16avucwIueJESt5lh52ot7qOETPv5rNjzOjIIDASgJEjr03BJFjyZbIsQTLsJ4FiBzPZOzgkwCR4xO0i8NwJccFEpsgYEGAyLGAunxIIseSLZFjCZZhPQsQOZ7J2MEngZaInM9/qtHWPRr5LA9XcnTx6Emq4UqOT+9+DoNAnQCRY++dQORYsiVyLMEyrGcBIsczGTv4JJDPyPlgWrXiMakylVXropjisZi271Ws+ZUZTZhbq6W1WdWks+rSKq42xXF9uzCl2nRWh2zcSomYJCKHyPHpfc9hEFhRgMix934gcizZFnLklMz6UT2f+btKZ36vVHl7zTroRC3efPsGCT6TY+lN0ULDEjktBM9hcwrkM3Le+6EucqpTWXVqlVAsllX/bnVXbB4dt1R9OxVp2qKU1mmf1JylaWe7HuUJDehdItM4RM42RE7OdywbIJB/ASIn/6b1IxI5lmxtR04sk1E2Hm/S7De4+Wwt2GEvzdt5f7X55kv1eehmfXP1Q8oUlzjjETlNYi3YnYicgl2ayE8sn5GzKmY2K42fW6tWRTGt1yGZ25orOURO7ncJWyCQdwEiJ++kDQMSOZZsbURO6fRv1euJu1TdYy0lF83X92dco/Zj3lGXN56VMmnVtu+sGcef4/z/Tu+9opKZ3yteW6viebOc7/845M9Kteuo9qPf1sIBeygbr/t3eDa++Dh9e/5tquncncix9H5oyWGJnJbU59hrErAZOZ7liRwix/Obhh0QaL4AkdN8w9WNQORYsrUSOT/9oHXvvEgzjzlDi7baSYllS9T3ypM15aK7VNOpm3o+fY8Ui2nmkaer4/uvqeu/n9SUP//VuSXN3J6WalWuOfsft9IZl037n/r84yZNvuI+Z1+u5Fh6Q7TgsEROC+Jz6DUKEDmF8wbh6WqFsxbMJFoCRI699SZyLNnaiJySn6ZpvTuGaeJNTzYESby6UpmSMucs2n3+vtp/8pZ+OH24EzltJo/VtFMudr7X6b1XVTp9qmYc+6eGMy6eN1tr33u1Zh5xmpZu1L/h69yuZulN0ULDEjktBM9hcwoQOTmJfNuAyPGNmgMhsJIAkWPvDUHkWLK1FTnr3HuVvhn+QN2ss1l1ff1JtZn0hfPLROUS1Xboou+HXuVETqsfvtH04891vrfqr81DB8wVnFmHnKLFm227kgKRY+lN0ULDEjktBM9hcwoQOTmJfNuAyPGNmgMhQOT49B4gcixB24occ+Vl8vD7nVmbKzdd3nxW3511vdJlrdX+0/+q/Zi3c0aOcwXn78M149iztWzdjX8lQORYelO00LBETgvBc9icAkROTiLfNiByfKPmQAgQOT69B4gcS9B+RI5zS9o3X2jaqZc6n8/p8/AtildX6dtzblrjlZx1/na5Fuw42PlcT2MvIsfSm6KFhiVyWgiew+YUIHJyEvm2AZHjGzUHQoDI8ek9QORYgvYjcpJLKrTW/dcpsWyxatt11uwDjtdaD9ygBQP2VKpth0ZvV5uz77Ha8NrTlU0WrXTm0084TxVb7OB8jcix9KZooWGJnBaC57A5BYicnES+bUDk+EbNgRAgcnx6DxA5lqBtRI6lqf5qWCLHL2l/jkPk+OPMUbwLEDnezWztQeTYkmVcBNYswIMH7L1DiBxLtkSOJViG9SxA5HgmYwefBIgcn6BdHIbIcYHEJghYECByLKAuH5LIsWRL5FiCZVjPAkSOZzJ28EmAyPEJ2sVhiBwXSGyCgAUBIscCKpFjD9WMTOTY9WV09wJEjnsrtvRXgMjx13tNRyNyCmctmEm0BIgce+vNlRxLtkSOJViG9SxA5HgmYwefBIgcn6BdHIbIcYHEJghYECByLKByJcceKldy7NoyujcBIsebF1v7J0Dk+Ged60hETi4hvo+AHQEix46rGZUrOZZsuZJjCZZhPQsQOZ7J2MEngbxEzoyxeZvt9IGnqM+kZ/M2XpAGInKCtFrMNUwCRI691SRyLNkSOZZgGdazAJHjmYwdfBJobuQc1bpH3mc64NvX8z5mEAYkcoKwSswxjAJEjr1VJXIs2RI5lmAZ1rMAkeOZjB18EmhO5Pg0xcgchsiJzFJzogUmQOTYWxAix5ItkWMJlmE9CxA5nsnYwScBIscnaBeHIXJcILEJAhYEiBwLqMuHJHIs2RI5lmAZ1rMAkeOZjB18EiByfIJ2cRgixwUSmyBgQYDIsYBK5NhDNSMTOXZ9Gd29AJHj3oot/RUgcvz1XtPRiJzCWQtmEi0BIsfeenMlx5ItkWMJlmE9CxA5nsnYwScBL5HzytIZPs0qmofZvnVXXTx6kmqeGLESQOlhJ+qtjkP0/KvZaMJw1ghYFiBy7AETOZZsiRxLsAzrWYDI8UzGDj4JuI2cZQN28mlG0T5M2YRxRE603wKcfQsIEDn20IkcS7ZEjiVYhvUsQOR4JmMHnwTcRI5PU+EwqxHgSg5vDQTsChA59nyJHEu2RI4lWIb1LEDkeCZjB58EiByfoJtxGCKnGXjsioALASLHBVITNyFymgiXazciJ5cQ3/dLgMjxS5rjeBUgcryK+b89keO/OUeMlgCRY2+9iRxLtkSOJViG9SxA5HgmYwefBIgcn6CbcRgipxl47IqACwEixwVSEzchcpoIl2s3IieXEN/3S4DI8Uua43gVIHK8ivm/PZHjvzlHjJYAkWNvvYkcS7ZEjiVYhvUsQOR4JmMHnwSIHJ+gm3EYIqcZeOyKgAsBIscFUhM3IXKaCJdrNyInlxDf90uAyPFLmuN4FSByvIr5vz2R4785R4yWAJFjb72JHEu2RI4lWIb1LEDkeCZjB58EiByfoJtxGCKnGXjsioALASLHBVITNyFymgiXazciJ5cQ3/dLgMjxS5rjeBUgcryK+b89keO/OUeMlgCRY2+9iRxLtkSOJViG9SxA5HgmYwefBIgcn6CbcRgipxl47IqACwEixwVSEzchcpoIl2s3IieXEN/3S4DI8Uua43gVIHK8ivm/PZHjvzlHjJYAkWNvvYkcS7ZEjiVYhvUsQOR4JmMHnwSIHJ+gm3EYIqcZeOyKgAsBIscFUhM3IXKaCJdrNyInlxDf90uAyPFLmuN4FSByvIr5vz2R4785R4yWAJFjb72JHEu2RI4lWIb1LEDkeCZjB58EiByfoJtxGCKnGXjsioALASLHBVITNyFymgiXazciJ5cQ3/dLgMjxS5rjeBUgcryK+b89keO/OUeMlgCRY2+9iRxLtkSOJViG9SxA5HgmYwefBIgcn6CbcRgipxl47IqACwEixwVSEzchcpoIl2s3IieXEN/3S4DI8Uua43gVIHK8ivm/PZHjvzlHjJYAkWNvvYkcS7ZEjiVYhvUsQOR4JmMHnwSIHJ+gm3EYIqcZeOyKgAsBIscFUhM3IXKaCJdrNyInlxDf90uAyPFLmuN4FSByvIr5vz2R4785R4yWAJFjb72JHEu2RI4lWIb1LEDkeCZjB58EiByfoJtxGCKnGXjsioALASLHBVITNyFymgiXazciJ5cQ3/dLgMjxS5rjeBUgcryK+b89keO/OUeMlgCRY2+9iRxLtkSOJViG9SxA5HgmYwefBIgcn6CbcRgipxl47IqACwEixwVSEzchcpoIl2s3IieXEN/3S4DI8Uua43gVIHK8ivm/PZHjvzlHjJYAkWNvvYkcS7ZEjiVYhvUsQOR4JmMHnwSIHJ+gm3EYIqcZeOyKgAsBIscFUhM3IXKaCJdrNyInlxDf90uAyPFLmuN4FSByvIr5vz2R4785R4yWAJFjb72JHEu2RI4lWIb1LEDkeCZjB58EiByfoJtxGCKnGXjsioALASLHBVITNyFymgiXazciJ5cQ3/dLgMjxS5rjeBUgcryK+b89keO/OUeMlgCRY2+9iRxLtkSOJViG9SxA5HgmYwefBIgcn6CbcRgipxl47IqACwEixwVSEzchcpoIl2s3IieXEN/3S4DI8Uua43gVIHK8ivm/PZHjvzlHjJYAkWNvvYkcS7ZEjiVYhvUsQOR4JmMHnwSIHJ+gm3EYIqcZeOyKgAsBIscFUhM3IXKaCJdrNyInlxDf90uAyPFLmuN4FSByvIr5vz2R4785R4yWAJFjb72JHEu2+YwcS1Nc47Cnlxdp5Fmpljg0x8yzAJGTZ1CGy5sAkZM3SmsDETnWaBkYAUeAyLH3RiByLNnmK3IsTc/VsBNeSrvajo0KW4DIKez1ifLsiJzCX30ip/DXiBkGW4DIsbd+RI4l23xEjqWpMWzEBIiciC14gE6XyCn8xSJyCn+NmGGwBYgce+tH5FiyJXIswTKsZwEixzMZO/gkQOT4BN2MwxA5zcBjVwRcCBA5LpCauAmR00S4XLsRObmE+L5fAkSOX9Icx6sAkeNVzP/tiRz/zTlitASIHHvrTeRYsiVyLMEyrGcBIsczGTv4JEDk+ATdjMMQOc3AY1cEXAgQOS6QmrgJkdNEuFy7NSVypOzyYWPL/3+uX5vNbG3T2Nhuv7bqnPI1z8bGzbUSfL+8U6U6jb1TNe+OBAOBghIgcgpqORqdDJFT+GvEDIMtQOTYWz8ix5Kt18ixNA2GRcARyMz9icjhvVBwAkROwS3JryZE5BT+GjHDYAsQOfbWj8ixZOslcixNgWERQACBghYgcgp6eZzJETmFv0bMMNgCRI699SNyLNkSOZZgGRYBBEIjQOQU/lISOYW/Rsww2AJEjr31I3Is2RI5lmAZFgEEQiNA5BT+UhI5hb9GzDDYAkSOvfUjcizZEjmWYBkWAQRCI0DkFP5SEjmFv0bMMNgCRI699SNyLNmuKXIsHZJhEUAAgcAJfNjpOD3xYlx77x7XAcnnFa+sCNw5hH3Cb7U7Qc+/Wv90y7CfLeeHgL8CRI49byLHku3qIudXh8tmpVj9I6PNE6FX+fWKO6zpe5bOg2ELWMDL+8HLtgV8ykwtnAIvjUw7kVNausLPwnCeamDPyqwRLwQQyL8AkZN/0/oRiRxLto1FjqVDMSwCCCCAAAIIIIBAAAWIHHuLRuRYsiVyLMEyLAIIIIAAAgggEBIBIsfeQhI5lmyJHEuwDIsAAggggAACCIREgMixt5BEjiVbIscSLMMigAACCCCAAAIhESBy7C0kkWPJ1kROw8t86Nu81vSAgdVtU2j7mfk09rCEXPNc3X4rmjS2zeq+tuq6NfbBejcfto/ifivaRfH88/m+cPPgkHz+fmnq77PG9ss1lu2fSZZ+9jIsAgggECQB88egAwfHgzTlwMyVyAnMUjFRBBBAAAEEEEAAAQQQcCNA5LhRYhsEEEAAAQQQQAABBBAIjACRE5ilYqIIIIAAAggggAACCCDgRoDIcaPENggggAACCCCAAAIIIBAYASInMEvFRBFAAAEEEEAAAQQQQMCNAJHjRoltEEAAAQQQQAABBBBAIDACRE5gloqJIoAAAggggAACCCCAgBsBIseNEtsggAACCCCAAAIIIIBAYASInMAsFRNFAAEEEEAAAQQQQAABNwJEjhsltkEAAQQQQAABBBBAAIHACBA5gVkqJooAAggggAACCCCAAALGE2wAAAYPSURBVAJuBIgcN0psgwACCCCAAAIIIIAAAoERIHICs1RMFAEEEEAAAQQQQAABBNwIEDlulNgGAQQQQAABBBBAAAEEAiNA5ARmqZgoAggggAACCCCAAAIIuBEgctwosQ0CCCCAAAIIIIAAAggERoDICcxSMVEEEEAAAQQQQAABBBBwI0DkuFFiGwQQQAABBBBAAAEEEAiMAJETmKVioggggAACCCCAAAIIIOBGgMhxo8Q2CCCAAAIIIIAAAgggEBgBIicwS8VEEUAAAQQQQAABBBBAwI0AkeNGiW0QQAABBBBAAAEEEEAgMAJETmCWiokigAACCCCAAAIIIICAGwEix40S2yCAAAIIIIAAAggggEBgBIicwCwVE0UAAQQQQAABBBBAAAE3AkSOGyW2QQABBBBAAAEEEEAAgcAIEDmBWSomigACCCCAAAIIIIAAAm4EiBw3SmyDAAIIIIAAAggggAACgREgcgKzVEwUAQQQQAABBBBAAAEE3AgQOW6U2AYBBBBAAAEEEEAAAQQCI0DkBGapmCgCCCCAAAIIIIAAAgi4ESBy3CixDQIIIIAAAggggAACCARGgMgJzFIxUQQQQAABBBBAAAEEEHAjQOS4UWIbBBBAAAEEEEAAAQQQCIwAkROYpWKiCCCAAAIIIIAAAggg4EaAyHGjxDYIIIAAAggggAACCCAQGAEiJzBLxUQRQAABBBBAAAEEEEDAjQCR40aJbRBAAAEEEEAAAQQQQCAwAkROYJaKiSKAAAIIIIAAAggggIAbASLHjRLbIIAAAggggAACCCCAQGAEiJzALBUTRQABBBBAAAEEEEAAATcCRI4bJbZBAAEEEEAAAQQQQACBwAgQOYFZKiaKAAIIIIAAAggggAACbgSIHDdKbIMAAggggAACCCCAAAKBESByArNUTBQBBBBAAAEEEEAAAQTcCBA5bpTYBgEEEEAAAQQQQAABBAIjQOQEZqmYKAIIIIAAAggggAACCLgRIHLcKLENAggggAACCCCAAAIIBEaAyAnMUjFRBBBAAAEEEEAAAQQQcCNA5LhRYhsEEEAAAQQQQAABBBAIjACRE5ilYqIIIIAAAggggAACCCDgRoDIcaPENggggAACCCCAAAIIIBAYASInMEvFRBFAAAEEEEAAAQQQQMCNAJHjRoltEEAAAQQQQAABBBBAIDACRE5gloqJIoAAAggggAACCCCAgBsBIseNEtsggAACCCCAAAIIIIBAYASInMAsFRNFAAEEEEAAAQQQQAABNwJEjhsltkEAAQQQQAABBBBAAIHACBA5gVkqJooAAggggAACCCCAAAJuBIgcN0psgwACCCCAAAIIIIAAAoERIHICs1RMFAEEEEAAAQQQQAABBNwIEDlulNgGAQQQQAABBBBAAAEEAiNA5ARmqZgoAggggAACCCCAAAIIuBEgctwosQ0CCCCAAAIIIIAAAggERoDICcxSMVEEEEAAAQQQQAABBBBwI0DkuFFiGwQQQAABBBBAAAEEEAiMAJETmKVioggggAACCCCAAAIIIOBGgMhxo8Q2CCCAAAIIIIAAAgggEBgBIicwS8VEEUAAAQQQQAABBBBAwI0AkeNGiW0QQAABBBBAAAEEEEAgMAJETmCWiokigAACCCCAAAIIIICAGwEix40S2yCAAAIIIIAAAggggEBgBIicwCwVE0UAAQQQQAABBBBAAAE3AkSOGyW2QQABBBBAAAEEEEAAgcAIEDmBWSomigACCCCAAAIIIIAAAm4EiBw3SmyDAAIIIIAAAggggAACgREgcgKzVEwUAQQQQAABBBBAAAEE3AgQOW6U2AYBBBBAAAEEEEAAAQQCI0DkBGapmCgCCCCAAAIIIIAAAgi4ESBy3CixDQIIIIAAAggggAACCARGgMgJzFIxUQQQQAABBBBAAAEEEHAjQOS4UWIbBBBAAAEEEEAAAQQQCIwAkROYpWKiCCCAAAIIIIAAAggg4EaAyHGjxDYIIIAAAggggAACCCAQGAEiJzBLxUQRQAABBBBAAAEEEEDAjQCR40aJbRBAAAEEEEAAAQQQQCAwAv8P6dt2IQJd5mQAAAAASUVORK5CYII=",
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        "                            \n",
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@@ -8490,48 +15829,7 @@
     }
    ],
    "source": [
-    "plot_treemap(df, (\"time\", \"sum\"), \"time_sum\", \"Time treemap\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Comparación de memoria"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 121,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/cecix/.local/lib/python2.7/site-packages/ipykernel_launcher.py:13: RuntimeWarning:\n",
-      "\n",
-      "invalid value encountered in double_scalars\n",
-      "\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 600x600 with 4 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plot_pie_charts(df, \"Memory comparisons\", (\"memory\", \"median\"))"
+    "plot_treemap(df, (\"memory\", \"median\"), \"memory_median\", \"Memory treemap\")"
    ]
   },
   {
@@ -8543,7 +15841,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 122,
+   "execution_count": 46,
    "metadata": {},
    "outputs": [
     {
@@ -8618,20 +15916,20 @@
          ],
          "type": "treemap",
          "values": [
-          39.623390375,
-          39.95615625000001,
-          38.34373725,
-          38.374862375,
-          4.585811751037405,
-          21.86151395833333,
-          1.2108900187277127,
-          1.2193375291062964,
-          0.0125,
-          0.025,
-          6.2875000000000005,
-          0.025,
+          22.449193249999997,
+          22.463899375,
+          22.389738625,
+          22.374167,
+          1.4094114962435424,
+          27.178624250000002,
+          0.36267924188822454,
+          0.3543996863661957,
+          19.110416625,
+          38.294444500000004,
+          15.062499999999998,
+          6.275,
           0.008333333333333333,
-          0.00625
+          0
          ]
         }
        ],
@@ -8654,6 +15952,11 @@
              "line": {
               "color": "#E5ECF6",
               "width": 0.5
+             },
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
              }
             },
             "type": "bar"
@@ -8665,6 +15968,11 @@
              "line": {
               "color": "#E5ECF6",
               "width": 0.5
+             },
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
              }
             },
             "type": "barpolar"
@@ -8863,9 +16171,10 @@
           "histogram": [
            {
             "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
              }
             },
             "type": "histogram"
@@ -9451,10 +16760,11 @@
         }
        }
       },
+      "image/png": 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\"zerolinewidth\": 2}}}, \"title\": {\"text\": \"CPU treemap\"}},                        {\"responsive\": true}                    ).then(function(){\n",
+       "<div>                            <div id=\"24092eb3-e043-4d36-8dc7-229645d4592c\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"24092eb3-e043-4d36-8dc7-229645d4592c\")) {                    Plotly.newPlot(                        \"24092eb3-e043-4d36-8dc7-229645d4592c\",                        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        "                            \n",
-       "var gd = document.getElementById('43c681d9-06df-4d17-97d0-df9ee5e8fa48');\n",
+       "var gd = document.getElementById('24092eb3-e043-4d36-8dc7-229645d4592c');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -9487,99 +16797,6 @@
     "plot_treemap(df, (\"cpu\", \"mean\"), \"cpu_mean\", \"CPU treemap\")"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## N = 128"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Armado del dataset"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Executing file log_128-aa\n",
-      "Executing file log_128-ab\n",
-      "Executing file log_128-ac\n"
-     ]
-    }
-   ],
-   "source": [
-    "df = analyze(['log_128-aa', 'log_128-ab', 'log_128-ac', 'log_128-ad', 'log_128-ae', 'log_128-af', 'log_128-ag', 'log_128-ah', 'log_128-ai', 'log_128-aj', 'log_128-ak'])\n",
-    "overall_time[\"128\"] = df.loc[\"Py_kgeneration\"][(\"time\", \"sum\")]\n",
-    "overall_memory[\"128\"] = abs(df.loc[\"Py_kgeneration\"][(\"memory\", \"median\")])\n",
-    "df"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Comparación de tiempo"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "plot_pie_charts(df, \"Time comparisons\", (\"time\", \"sum\"))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "plot_treemap(df, (\"time\", \"sum\"), \"time_sum\", \"Time treemap\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Comparación de memoria"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "plot_pie_charts(df, \"Memory comparisons\", (\"memory\", \"median\"))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Análisis de la CPU"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "plot_treemap(df, (\"cpu\", \"mean\"), \"cpu_mean\", \"CPU treemap\")"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -10555,6 +17772,21 @@
     "- [X] Conseguir ayuda en tupac para poder correrlo"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Corriendo en TUPAC\n",
+    "\n",
+    "Corriendo la simulacion de un medio en tupac encontramos que la mayor limitacion de correr un medio de 1024 es la memoria que se llena a los 4 minutos y no permite seguir corriendo la simulacion.\n",
+    "\n",
+    "Por lo tanto consideramos que lo primero a optimizar es el uso de memoria para poder completar la generacion con un tamaño de 1024.\n",
+    "\n",
+    "### Optimizacion en memoria\n",
+    "\n",
+    "Viendo cual es la funcion que mas memoria consume: `generate` hay que reducir el uso de memoria en dicha funcion."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
diff --git a/fftma_module/gen/save_logs.sh b/fftma_module/gen/save_logs.sh
index 6a2257b..f12fd6a 100755
--- a/fftma_module/gen/save_logs.sh
+++ b/fftma_module/gen/save_logs.sh
@@ -1,2 +1,2 @@
 python3 setup.py install --user
-ENV=true python3 test.py $1 2>&1 | split -l 5000000 - log_$1-
\ No newline at end of file
+ENV=analysis python3 test.py $1 2>&1 | split -l 5000000 - log_$1-
\ No newline at end of file