From 245e171e46575e9688625ba62f44f93591e86838 Mon Sep 17 00:00:00 2001
From: Oli <olifer97@gmail.com>
Date: Mon, 20 Dec 2021 23:40:16 -0300
Subject: [PATCH] add params distribution

---
 fftma_module/gen/analysis.ipynb | 1582 ++++++++++++++++++++++++++++++-
 fftma_module/gen/lib_src/ran2.c |    2 +-
 fftma_module/gen/save_logs.sh   |    2 +-
 3 files changed, 1563 insertions(+), 23 deletions(-)

diff --git a/fftma_module/gen/analysis.ipynb b/fftma_module/gen/analysis.ipynb
index 4f2cab3..0bbe7f2 100644
--- a/fftma_module/gen/analysis.ipynb
+++ b/fftma_module/gen/analysis.ipynb
@@ -5465,7 +5465,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 133,
    "metadata": {},
    "outputs": [
     {
@@ -5481,29 +5481,1291 @@
       "Executing file log_128-ag\n",
       "Executing file log_128-ah\n",
       "Executing file log_128-ai\n",
-      "Executing file log_128-aj\n"
+      "Executing file log_128-aj\n",
+      "Executing file log_128-ak\n"
      ]
+    },
+    {
+     "data": {
+      "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=\"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>-14.1</td>\n",
+       "      <td>-14.1</td>\n",
+       "      <td>-14.1</td>\n",
+       "      <td>1530.896938</td>\n",
+       "      <td>1530.896938</td>\n",
+       "      <td>1530.896938</td>\n",
+       "      <td>1530.896938</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>14.870018</td>\n",
+       "      <td>14.870018</td>\n",
+       "      <td>1530.896938</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>generate</th>\n",
+       "      <td>3.2</td>\n",
+       "      <td>3.2</td>\n",
+       "      <td>3.2</td>\n",
+       "      <td>1198.768697</td>\n",
+       "      <td>1198.768697</td>\n",
+       "      <td>1198.768697</td>\n",
+       "      <td>1198.768697</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>12.167592</td>\n",
+       "      <td>12.167592</td>\n",
+       "      <td>1198.768697</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>fftma2</th>\n",
+       "      <td>-2.8</td>\n",
+       "      <td>-2.8</td>\n",
+       "      <td>-2.8</td>\n",
+       "      <td>332.127615</td>\n",
+       "      <td>332.127615</td>\n",
+       "      <td>332.127615</td>\n",
+       "      <td>332.127615</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>24.482971</td>\n",
+       "      <td>24.482971</td>\n",
+       "      <td>332.127615</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>covariance</th>\n",
+       "      <td>-20.8</td>\n",
+       "      <td>-20.8</td>\n",
+       "      <td>-20.8</td>\n",
+       "      <td>330.818047</td>\n",
+       "      <td>330.818047</td>\n",
+       "      <td>330.818047</td>\n",
+       "      <td>330.818047</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>24.492196</td>\n",
+       "      <td>24.492196</td>\n",
+       "      <td>330.818047</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>gasdev</th>\n",
+       "      <td>-81.6</td>\n",
+       "      <td>7.4</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000081</td>\n",
+       "      <td>0.016966</td>\n",
+       "      <td>0.000428</td>\n",
+       "      <td>891.863931</td>\n",
+       "      <td>2097152.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>100.100000</td>\n",
+       "      <td>0.000428</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>fourt</th>\n",
+       "      <td>0.5</td>\n",
+       "      <td>1.2</td>\n",
+       "      <td>0.6</td>\n",
+       "      <td>0.336843</td>\n",
+       "      <td>0.525952</td>\n",
+       "      <td>0.422136</td>\n",
+       "      <td>1.266409</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>19.065517</td>\n",
+       "      <td>26.290476</td>\n",
+       "      <td>0.422136</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>cov_value</th>\n",
+       "      <td>-9.6</td>\n",
+       "      <td>2.7</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000102</td>\n",
+       "      <td>0.000870</td>\n",
+       "      <td>0.000124</td>\n",
+       "      <td>140.268295</td>\n",
+       "      <td>1132300.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>100.100000</td>\n",
+       "      <td>0.000124</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ran2</th>\n",
+       "      <td>-12.9</td>\n",
+       "      <td>4.8</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000078</td>\n",
+       "      <td>0.002555</td>\n",
+       "      <td>0.000107</td>\n",
+       "      <td>282.561512</td>\n",
+       "      <td>2668394.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>100.100000</td>\n",
+       "      <td>0.000107</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>0.021324</td>\n",
+       "      <td>0.021324</td>\n",
+       "      <td>0.021324</td>\n",
+       "      <td>0.021324</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.100000</td>\n",
+       "      <td>0.100000</td>\n",
+       "      <td>0.021324</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>prebuild_gwn</th>\n",
+       "      <td>17.0</td>\n",
+       "      <td>17.0</td>\n",
+       "      <td>17.0</td>\n",
+       "      <td>0.008650</td>\n",
+       "      <td>0.008650</td>\n",
+       "      <td>0.008650</td>\n",
+       "      <td>0.008650</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.100000</td>\n",
+       "      <td>0.100000</td>\n",
+       "      <td>0.008650</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>clean_real</th>\n",
+       "      <td>14.6</td>\n",
+       "      <td>14.6</td>\n",
+       "      <td>14.6</td>\n",
+       "      <td>0.007677</td>\n",
+       "      <td>0.007677</td>\n",
+       "      <td>0.007677</td>\n",
+       "      <td>0.007677</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.007677</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>0.001930</td>\n",
+       "      <td>0.001930</td>\n",
+       "      <td>0.001930</td>\n",
+       "      <td>0.001930</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.001930</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>0.000410</td>\n",
+       "      <td>0.000424</td>\n",
+       "      <td>0.000418</td>\n",
+       "      <td>0.001254</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000418</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>0.000117</td>\n",
+       "      <td>0.000119</td>\n",
+       "      <td>0.000118</td>\n",
+       "      <td>0.000354</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000118</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  -14.1 -14.1  -14.1  1530.896938  1530.896938  1530.896938   \n",
+       "generate          3.2   3.2    3.2  1198.768697  1198.768697  1198.768697   \n",
+       "fftma2           -2.8  -2.8   -2.8   332.127615   332.127615   332.127615   \n",
+       "covariance      -20.8 -20.8  -20.8   330.818047   330.818047   330.818047   \n",
+       "gasdev          -81.6   7.4    0.0     0.000081     0.016966     0.000428   \n",
+       "fourt             0.5   1.2    0.6     0.336843     0.525952     0.422136   \n",
+       "cov_value        -9.6   2.7    0.0     0.000102     0.000870     0.000124   \n",
+       "ran2            -12.9   4.8    0.0     0.000078     0.002555     0.000107   \n",
+       "build_real       -0.0  -0.0   -0.0     0.021324     0.021324     0.021324   \n",
+       "prebuild_gwn     17.0  17.0   17.0     0.008650     0.008650     0.008650   \n",
+       "clean_real       14.6  14.6   14.6     0.007677     0.007677     0.007677   \n",
+       "cgrid             0.0   0.0    0.0     0.001930     0.001930     0.001930   \n",
+       "length            0.0   0.0    0.0     0.000410     0.000424     0.000418   \n",
+       "maxfactor         0.0   0.0    0.0     0.000117     0.000119     0.000118   \n",
+       "\n",
+       "                                              cpu                           \n",
+       "                        sum      count        min         max         mean  \n",
+       "function                                                                    \n",
+       "Py_kgeneration  1530.896938        1.0  14.870018   14.870018  1530.896938  \n",
+       "generate        1198.768697        1.0  12.167592   12.167592  1198.768697  \n",
+       "fftma2           332.127615        1.0  24.482971   24.482971   332.127615  \n",
+       "covariance       330.818047        1.0  24.492196   24.492196   330.818047  \n",
+       "gasdev           891.863931  2097152.0   0.000000  100.100000     0.000428  \n",
+       "fourt              1.266409        3.0  19.065517   26.290476     0.422136  \n",
+       "cov_value        140.268295  1132300.0   0.000000  100.100000     0.000124  \n",
+       "ran2             282.561512  2668394.0   0.000000  100.100000     0.000107  \n",
+       "build_real         0.021324        1.0   0.100000    0.100000     0.021324  \n",
+       "prebuild_gwn       0.008650        1.0   0.100000    0.100000     0.008650  \n",
+       "clean_real         0.007677        1.0   0.000000    0.000000     0.007677  \n",
+       "cgrid              0.001930        1.0   0.000000    0.000000     0.001930  \n",
+       "length             0.001254        3.0   0.000000    0.000000     0.000418  \n",
+       "maxfactor          0.000354        3.0   0.000000    0.000000     0.000118  "
+      ]
+     },
+     "execution_count": 133,
+     "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",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 134,
+   "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_analysis(df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 135,
+   "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": [
+          1530.896938,
+          1198.768697,
+          332.127615,
+          330.818047,
+          891.8639310001546,
+          1.266409,
+          140.26829500008319,
+          282.56151199981946,
+          0.021324,
+          0.00865,
+          0.007677,
+          0.00193,
+          0.001254,
+          0.000354
+         ]
+        }
+       ],
+       "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"
+             ],
+             [
+              0.4444444444444444,
+              "#bd3786"
+             ],
+             [
+              0.5555555555555556,
+              "#d8576b"
+             ],
+             [
+              0.6666666666666666,
+              "#ed7953"
+             ],
+             [
+              0.7777777777777778,
+              "#fb9f3a"
+             ],
+             [
+              0.8888888888888888,
+              "#fdca26"
+             ],
+             [
+              1,
+              "#f0f921"
+             ]
+            ],
+            "type": "heatmap"
+           }
+          ],
+          "heatmapgl": [
+           {
+            "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": "heatmapgl"
+           }
+          ],
+          "histogram": [
+           {
+            "marker": {
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
+             }
+            },
+            "type": "histogram"
+           }
+          ],
+          "histogram2d": [
+           {
+            "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": "histogram2d"
+           }
+          ],
+          "histogram2dcontour": [
+           {
+            "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": "histogram2dcontour"
+           }
+          ],
+          "mesh3d": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "type": "mesh3d"
+           }
+          ],
+          "parcoords": [
+           {
+            "line": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "parcoords"
+           }
+          ],
+          "pie": [
+           {
+            "automargin": true,
+            "type": "pie"
+           }
+          ],
+          "scatter": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scatter"
+           }
+          ],
+          "scatter3d": [
+           {
+            "line": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scatter3d"
+           }
+          ],
+          "scattercarpet": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scattercarpet"
+           }
+          ],
+          "scattergeo": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scattergeo"
+           }
+          ],
+          "scattergl": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scattergl"
+           }
+          ],
+          "scattermapbox": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scattermapbox"
+           }
+          ],
+          "scatterpolar": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scatterpolar"
+           }
+          ],
+          "scatterpolargl": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scatterpolargl"
+           }
+          ],
+          "scatterternary": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scatterternary"
+           }
+          ],
+          "surface": [
+           {
+            "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": "surface"
+           }
+          ],
+          "table": [
+           {
+            "cells": {
+             "fill": {
+              "color": "#EBF0F8"
+             },
+             "line": {
+              "color": "white"
+             }
+            },
+            "header": {
+             "fill": {
+              "color": "#C8D4E3"
+             },
+             "line": {
+              "color": "white"
+             }
+            },
+            "type": "table"
+           }
+          ]
+         },
+         "layout": {
+          "annotationdefaults": {
+           "arrowcolor": "#2a3f5f",
+           "arrowhead": 0,
+           "arrowwidth": 1
+          },
+          "autotypenumbers": "strict",
+          "coloraxis": {
+           "colorbar": {
+            "outlinewidth": 0,
+            "ticks": ""
+           }
+          },
+          "colorscale": {
+           "diverging": [
+            [
+             0,
+             "#8e0152"
+            ],
+            [
+             0.1,
+             "#c51b7d"
+            ],
+            [
+             0.2,
+             "#de77ae"
+            ],
+            [
+             0.3,
+             "#f1b6da"
+            ],
+            [
+             0.4,
+             "#fde0ef"
+            ],
+            [
+             0.5,
+             "#f7f7f7"
+            ],
+            [
+             0.6,
+             "#e6f5d0"
+            ],
+            [
+             0.7,
+             "#b8e186"
+            ],
+            [
+             0.8,
+             "#7fbc41"
+            ],
+            [
+             0.9,
+             "#4d9221"
+            ],
+            [
+             1,
+             "#276419"
+            ]
+           ],
+           "sequential": [
+            [
+             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"
+            ]
+           ],
+           "sequentialminus": [
+            [
+             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"
+            ]
+           ]
+          },
+          "colorway": [
+           "#636efa",
+           "#EF553B",
+           "#00cc96",
+           "#ab63fa",
+           "#FFA15A",
+           "#19d3f3",
+           "#FF6692",
+           "#B6E880",
+           "#FF97FF",
+           "#FECB52"
+          ],
+          "font": {
+           "color": "#2a3f5f"
+          },
+          "geo": {
+           "bgcolor": "white",
+           "lakecolor": "white",
+           "landcolor": "#E5ECF6",
+           "showlakes": true,
+           "showland": true,
+           "subunitcolor": "white"
+          },
+          "hoverlabel": {
+           "align": "left"
+          },
+          "hovermode": "closest",
+          "mapbox": {
+           "style": "light"
+          },
+          "paper_bgcolor": "white",
+          "plot_bgcolor": "#E5ECF6",
+          "polar": {
+           "angularaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "bgcolor": "#E5ECF6",
+           "radialaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           }
+          },
+          "scene": {
+           "xaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           },
+           "yaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           },
+           "zaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           }
+          },
+          "shapedefaults": {
+           "line": {
+            "color": "#2a3f5f"
+           }
+          },
+          "ternary": {
+           "aaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "baxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "bgcolor": "#E5ECF6",
+           "caxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           }
+          },
+          "title": {
+           "x": 0.05
+          },
+          "xaxis": {
+           "automargin": true,
+           "gridcolor": "white",
+           "linecolor": "white",
+           "ticks": "",
+           "title": {
+            "standoff": 15
+           },
+           "zerolinecolor": "white",
+           "zerolinewidth": 2
+          },
+          "yaxis": {
+           "automargin": true,
+           "gridcolor": "white",
+           "linecolor": "white",
+           "ticks": "",
+           "title": {
+            "standoff": 15
+           },
+           "zerolinecolor": "white",
+           "zerolinewidth": 2
+          }
+         }
+        },
+        "title": {
+         "text": "Time treemap"
+        }
+       }
+      },
+      "image/png": "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",
+      "text/html": [
+       "<div>                            <div id=\"03c3cc32-ae8b-42d9-a560-2f31a5a2a9c0\" 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(\"03c3cc32-ae8b-42d9-a560-2f31a5a2a9c0\")) {                    Plotly.newPlot(                        \"03c3cc32-ae8b-42d9-a560-2f31a5a2a9c0\",                        [{\"domain\":{\"x\":[0.0,1.0],\"y\":[0.0,1.0]},\"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\",\"\",\"\",\"\",\"\"],\"values\":[1530.896938,1198.768697,332.127615,330.818047,891.8639310001546,1.266409,140.26829500008319,282.56151199981946,0.021324,0.00865,0.007677,0.00193,0.001254,0.000354],\"type\":\"treemap\"}],                        {\"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\":[[0.0,\"#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\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#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\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#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\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#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\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#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\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#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\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#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\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#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\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"white\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2}}},\"legend\":{\"tracegroupgap\":0},\"title\":{\"text\":\"Time treemap\"}},                        {\"responsive\": true}                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('03c3cc32-ae8b-42d9-a560-2f31a5a2a9c0');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })                };                });            </script>        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
-   "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",
-    "df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "plot_analysis(df)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
    "source": [
     "plot_treemap(df)"
    ]
@@ -5821,6 +7083,284 @@
    "source": [
     "plot_treemap(df)"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Function call repetitive times analysed"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 194,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "functions_repeated = {\n",
+    "    \"gasdev\":[\"idum\", \"idum2\", \"iy\"],\n",
+    "    \"cov_value\": [\"di\", \"dj\", \"dk\"],\n",
+    "    \"ran2\": [\"idum\", \"idum2\", \"iy\"],\n",
+    "}\n",
+    "\n",
+    "def get_data_from_file(file_name):\n",
+    "    data = {\n",
+    "        \"gasdev\": {\"idum\": [], \"idum2\": [], \"iy\": []},\n",
+    "        \"ran2\": {\"idum\": [], \"idum2\": [], \"iy\": []},\n",
+    "        \"cov_value\": {\"di\":[], \"dj\": [], \"dk\": []}\n",
+    "    }\n",
+    "\n",
+    "    with open(file_name) as log_file:\n",
+    "        lines = log_file.readlines()\n",
+    "        for line in lines:\n",
+    "            if np.any([f in line for f in functions_repeated.keys()]) and \"RESULT = in progress\" in line:\n",
+    "                split_line = line.split()\n",
+    "                function_name = get_function_name(split_line[2])\n",
+    "                params = functions_repeated[function_name]\n",
+    "                for p in params:\n",
+    "                    idx_value = split_line.index(p) + 2\n",
+    "                    data[function_name][p].append(float(split_line[idx_value].rsplit(\",\")[0]))\n",
+    "                #print(split_line)\n",
+    "    return data\n",
+    "\n",
+    "def get_repeteated_data(filenames):\n",
+    "    data_total = {}\n",
+    "    for f in filenames:\n",
+    "        data = get_data_from_file(f)\n",
+    "        data_total = {**data_total, **data}\n",
+    "    return data_total"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 248,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def distribution(data,f, p, plt):\n",
+    "    values = data[f][p]\n",
+    "    if np.isnan(values).all(): return # TODO: Pasa algo raro con gasdev iy en 32\n",
+    "    plt.set_title(f\"{p}\")\n",
+    "    plt.hist(values, bins=60, alpha=1, edgecolor = 'black',  linewidth=1)\n",
+    "    plt.grid(True)\n",
+    "    plt.set_ylabel(\"Number of repetitions\")\n",
+    "    plt.set_xlabel(\"value\")\n",
+    "\n",
+    "def plot_distributions(data, f):\n",
+    "    fig, axs = plt.subplots(2, 2, dpi=100, figsize=(6, 6))\n",
+    "    fig.suptitle(f\"Distribution in params for {f}\")\n",
+    "    params = list(data[f].keys())\n",
+    "    for i in range(2):\n",
+    "        for j in range(2):\n",
+    "            if 2*i + j < len(params):\n",
+    "                distribution(data, f,params[2*i + j], axs[i, j])\n",
+    "                \n",
+    "    \n",
+    "    fig.delaxes(axs[1, 1])\n",
+    "    fig.tight_layout(pad=3.0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 245,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_reapeated_data_distribution(data):\n",
+    "    for f in functions_repeated.keys():\n",
+    "        plot_distributions(data,f)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## N = 8"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 234,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 600x600 with 3 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 600x600 with 3 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 600x600 with 3 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data = get_repeteated_data(['log_8-aa'])\n",
+    "plot_reapeated_data_distribution(data)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## N = 16"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 235,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 600x600 with 3 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 600x600 with 3 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 600x600 with 3 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data = get_repeteated_data(['log_16-aa'])\n",
+    "plot_reapeated_data_distribution(data)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## N = 32"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 246,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "gasdev idum\n",
+      "gasdev idum2\n",
+      "gasdev iy\n",
+      "cov_value di\n",
+      "cov_value dj\n",
+      "cov_value dk\n",
+      "ran2 idum\n",
+      "ran2 idum2\n",
+      "ran2 iy\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 600x600 with 3 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 600x600 with 3 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 600x600 with 3 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data = get_repeteated_data(['log_32-aa'])\n",
+    "plot_reapeated_data_distribution(data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/fftma_module/gen/lib_src/ran2.c b/fftma_module/gen/lib_src/ran2.c
index de06daa..a4d8d38 100644
--- a/fftma_module/gen/lib_src/ran2.c
+++ b/fftma_module/gen/lib_src/ran2.c
@@ -28,7 +28,7 @@ double ran2(long* idum, long* idum2, long* iy, long iv[NTAB], int cores) {
     long k;
     double temp;
 
-    log_info("RESULT = in progress");
+    log_info("RESULT = in progress, idum = %f, idum2 = %f, iy = %f", *idum, *idum2, *iy);
 
     struct cpustat initial[cores];
     struct cpustat final[cores];
diff --git a/fftma_module/gen/save_logs.sh b/fftma_module/gen/save_logs.sh
index f12fd6a..6a2257b 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=analysis python3 test.py $1 2>&1 | split -l 5000000 - log_$1-
\ No newline at end of file
+ENV=true python3 test.py $1 2>&1 | split -l 5000000 - log_$1-
\ No newline at end of file