From fb20a57560ba1a3358725e7b6741b2b130305b79 Mon Sep 17 00:00:00 2001
From: chortas <chortas@fi.uba.ar>
Date: Thu, 16 Dec 2021 12:03:45 -0300
Subject: [PATCH] Add analysis

---
 fftma_module/gen/analysis.ipynb | 199 ++++++++++++++++++++++++++++++++
 1 file changed, 199 insertions(+)
 create mode 100644 fftma_module/gen/analysis.ipynb

diff --git a/fftma_module/gen/analysis.ipynb b/fftma_module/gen/analysis.ipynb
new file mode 100644
index 0000000..c6547c0
--- /dev/null
+++ b/fftma_module/gen/analysis.ipynb
@@ -0,0 +1,199 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd  "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "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 th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>elapsed_time (seconds)</th>\n",
+       "      <th>function_name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.150900</td>\n",
+       "      <td>./lib_src/generate.c:75:</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.000051</td>\n",
+       "      <td>./lib_src/build_real.c:50:</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.000091</td>\n",
+       "      <td>./lib_src/cov_value.c:60:</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.000021</td>\n",
+       "      <td>./lib_src/length.c:47:</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.000017</td>\n",
+       "      <td>./lib_src/clean_real.c:48:</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>0.000068</td>\n",
+       "      <td>./lib_src/gasdev.c:43:</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>0.082331</td>\n",
+       "      <td>./lib_src/covariance.c:86:</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>0.000713</td>\n",
+       "      <td>./lib_src/gasdev.c:35:</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>0.000101</td>\n",
+       "      <td>./lib_src/ran2.c:68:</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>0.000047</td>\n",
+       "      <td>./lib_src/prebuild_gwn.c:57:</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>0.236221</td>\n",
+       "      <td>./lib_src/Py_kgeneration.c:74:</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>0.084618</td>\n",
+       "      <td>./lib_src/fftma2.c:106:</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>0.000007</td>\n",
+       "      <td>./lib_src/maxfactor.c:42:</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>0.000835</td>\n",
+       "      <td>./lib_src/fourt.c:593:</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>0.000086</td>\n",
+       "      <td>./lib_src/cgrid.c:50:</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>0.000026</td>\n",
+       "      <td>./lib_src/Py_getvalues.c:157:</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    elapsed_time (seconds)                   function_name\n",
+       "0                 0.150900        ./lib_src/generate.c:75:\n",
+       "1                 0.000051      ./lib_src/build_real.c:50:\n",
+       "2                 0.000091       ./lib_src/cov_value.c:60:\n",
+       "3                 0.000021          ./lib_src/length.c:47:\n",
+       "4                 0.000017      ./lib_src/clean_real.c:48:\n",
+       "5                 0.000068          ./lib_src/gasdev.c:43:\n",
+       "6                 0.082331      ./lib_src/covariance.c:86:\n",
+       "7                 0.000713          ./lib_src/gasdev.c:35:\n",
+       "8                 0.000101            ./lib_src/ran2.c:68:\n",
+       "9                 0.000047    ./lib_src/prebuild_gwn.c:57:\n",
+       "10                0.236221  ./lib_src/Py_kgeneration.c:74:\n",
+       "11                0.084618         ./lib_src/fftma2.c:106:\n",
+       "12                0.000007       ./lib_src/maxfactor.c:42:\n",
+       "13                0.000835          ./lib_src/fourt.c:593:\n",
+       "14                0.000086           ./lib_src/cgrid.c:50:\n",
+       "15                0.000026   ./lib_src/Py_getvalues.c:157:"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data = {}\n",
+    "with open(\"log_16.txt\") as log_file:\n",
+    "    lines = log_file.readlines()\n",
+    "    for line in lines:\n",
+    "        if \"ELAPSED\" in line:\n",
+    "            split_line = line.split()\n",
+    "            idx_elapsed = split_line.index(\"ELAPSED\") + 2\n",
+    "            function_name, elapsed = split_line[2], float(split_line[idx_elapsed])\n",
+    "            if function_name not in data or (function_name in data and elapsed > data[function_name]):\n",
+    "                data[function_name] = elapsed\n",
+    "new_data = {\"function_name\": data.keys(), \"elapsed_time (seconds)\": data.values()}\n",
+    "                \n",
+    "df = pd.DataFrame(new_data)  \n",
+    "\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.18"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}