From 56f514034e73117898d7bd6795b1668f75429322 Mon Sep 17 00:00:00 2001 From: dupre Date: Wed, 3 Aug 2016 03:18:27 +0200 Subject: [PATCH] update notebooks --- .gitignore | 5 +- _doc/notebooks/nlp/completion_profiling.ipynb | 344 +++++++++--------- 2 files changed, 178 insertions(+), 171 deletions(-) diff --git a/.gitignore b/.gitignore index 4d760ad..8e9bb3c 100644 --- a/.gitignore +++ b/.gitignore @@ -254,4 +254,7 @@ _doc/notebooks/*/.ipynb_checkpoints _doc/notebooks/nlp/frwiki-latest-all-titles-in-ns0 _doc/notebooks/nlp/sample*.txt _doc/notebooks/nlp/completion.prof -_doc/notebooks/nlp/profile.png \ No newline at end of file +_doc/notebooks/nlp/profile.png +_doc/notebooks/nlp/completion.dot +_doc/notebooks/nlp/completion.png +_doc/notebooks/nlp/completion.pstat \ No newline at end of file diff --git a/_doc/notebooks/nlp/completion_profiling.ipynb b/_doc/notebooks/nlp/completion_profiling.ipynb index bdc2742..f62a69a 100644 --- a/_doc/notebooks/nlp/completion_profiling.ipynb +++ b/_doc/notebooks/nlp/completion_profiling.ipynb @@ -233,7 +233,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 6, "metadata": { "collapsed": true }, @@ -260,7 +260,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 8, "metadata": { "collapsed": false }, @@ -269,59 +269,59 @@ "name": "stdout", "output_type": "stream", "text": [ - " 1478389 function calls in 1.832 seconds\n", + " 1232193 function calls in 1.492 seconds\n", "\n", " Ordered by: cumulative time\n", "\n", " ncalls tottime percall cumtime percall filename:lineno(function)\n", - " 1 0.000 0.000 1.832 1.832 :3(toprofile0)\n", - " 1 0.001 0.001 1.831 1.831 :3(gain_dynamique_moyen_par_mot)\n", - " 1 0.156 0.156 1.220 1.220 \\src\\mlstatpy\\nlp\\completion.py:418(precompute_stat)\n", - " 15620 0.538 0.000 0.928 0.000 \\src\\mlstatpy\\nlp\\completion.py:489(merge_completions)\n", - " 1 0.117 0.117 0.499 0.499 \\src\\mlstatpy\\nlp\\completion.py:453(update_stat_dynamic)\n", - " 33238 0.175 0.000 0.295 0.000 \\src\\mlstatpy\\nlp\\completion.py:541(update_dynamic_minimum_keystroke)\n", - " 15620 0.213 0.000 0.217 0.000 {built-in method builtins.__build_class__}\n", - " 35224 0.093 0.000 0.101 0.000 \\src\\mlstatpy\\nlp\\completion.py:509()\n", - " 33238 0.085 0.000 0.093 0.000 \\src\\mlstatpy\\nlp\\completion.py:591(second_step)\n", - " 1 0.045 0.045 0.071 0.071 \\src\\mlstatpy\\nlp\\completion.py:205(build)\n", - " 170268 0.049 0.000 0.049 0.000 {built-in method builtins.hasattr}\n", - " 15620 0.037 0.000 0.044 0.000 \\src\\mlstatpy\\nlp\\completion.py:528(update_minimum_keystroke)\n", - " 34224 0.017 0.000 0.043 0.000 {built-in method builtins.all}\n", - " 15620 0.027 0.000 0.034 0.000 {built-in method builtins.sorted}\n", - " 16619 0.022 0.000 0.032 0.000 \\src\\mlstatpy\\nlp\\completion.py:612(init_dynamic_minimum_keystroke)\n", - " 338032 0.030 0.000 0.030 0.000 {built-in method builtins.len}\n", - " 16620 0.019 0.000 0.029 0.000 \\src\\mlstatpy\\nlp\\completion.py:98(unsorted_iter)\n", - " 112492 0.028 0.000 0.028 0.000 \\src\\mlstatpy\\nlp\\completion.py:438()\n", - " 3000 0.025 0.000 0.025 0.000 \\src\\mlstatpy\\nlp\\completion.py:260(find)\n", - " 15621 0.004 0.000 0.025 0.000 {method 'extend' of 'collections.deque' objects}\n", - " 1001 0.014 0.000 0.021 0.000 \\src\\mlstatpy\\nlp\\completion.py:133(leaves)\n", - " 62480 0.017 0.000 0.017 0.000 {method 'extend' of 'list' objects}\n", - " 16619 0.014 0.000 0.016 0.000 \\src\\mlstatpy\\nlp\\completion.py:22(__init__)\n", - " 22705 0.013 0.000 0.013 0.000 {built-in method builtins.min}\n", - " 1 0.001 0.001 0.012 0.012 :13()\n", - " 1 0.001 0.001 0.012 0.012 :10()\n", - " 127944 0.011 0.000 0.011 0.000 {method 'values' of 'dict' objects}\n", - " 1 0.001 0.001 0.011 0.011 :11()\n", - " 1000 0.002 0.000 0.011 0.000 \\src\\mlstatpy\\nlp\\completion.py:385(min_dynamic_keystroke2)\n", - " 1000 0.001 0.000 0.010 0.000 \\src\\mlstatpy\\nlp\\completion.py:324(min_keystroke0)\n", - " 1000 0.001 0.000 0.010 0.000 \\src\\mlstatpy\\nlp\\completion.py:355(min_dynamic_keystroke)\n", - " 66476 0.010 0.000 0.010 0.000 {method 'pop' of 'list' objects}\n", - " 16618 0.009 0.000 0.009 0.000 \\src\\mlstatpy\\nlp\\completion.py:56(_add)\n", - " 19604 0.008 0.000 0.008 0.000 {built-in method builtins.max}\n", - " 15620 0.008 0.000 0.008 0.000 \\src\\mlstatpy\\nlp\\completion.py:497()\n", - " 50846 0.008 0.000 0.008 0.000 {method 'append' of 'list' objects}\n", - " 16620 0.007 0.000 0.007 0.000 \\src\\mlstatpy\\nlp\\completion.py:503()\n", - " 62480 0.006 0.000 0.006 0.000 {method 'items' of 'dict' objects}\n", - " 15620 0.005 0.000 0.005 0.000 \\src\\mlstatpy\\nlp\\completion.py:494(Fake)\n", - " 52840 0.005 0.000 0.005 0.000 {method 'popleft' of 'collections.deque' objects}\n", - " 35222 0.003 0.000 0.003 0.000 {method 'append' of 'collections.deque' objects}\n", - " 1 0.002 0.002 0.002 0.002 :7()\n", + " 1 0.000 0.000 1.492 1.492 :3(toprofile0)\n", + " 1 0.000 0.000 1.492 1.492 :3(gain_dynamique_moyen_par_mot)\n", + " 1 0.150 0.150 1.109 1.109 \\src\\mlstatpy\\nlp\\completion.py:418(precompute_stat)\n", + " 15320 0.457 0.000 0.827 0.000 \\src\\mlstatpy\\nlp\\completion.py:489(merge_completions)\n", + " 1 0.059 0.059 0.255 0.255 \\src\\mlstatpy\\nlp\\completion.py:453(update_stat_dynamic)\n", + " 15320 0.205 0.000 0.209 0.000 {built-in method builtins.__build_class__}\n", + " 16319 0.073 0.000 0.123 0.000 \\src\\mlstatpy\\nlp\\completion.py:541(update_dynamic_minimum_keystroke)\n", + " 1 0.058 0.058 0.095 0.095 \\src\\mlstatpy\\nlp\\completion.py:205(build)\n", + " 34513 0.087 0.000 0.094 0.000 \\src\\mlstatpy\\nlp\\completion.py:509()\n", + " 15320 0.034 0.000 0.041 0.000 \\src\\mlstatpy\\nlp\\completion.py:528(update_minimum_keystroke)\n", + " 16319 0.036 0.000 0.039 0.000 \\src\\mlstatpy\\nlp\\completion.py:591(second_step)\n", + " 32881 0.015 0.000 0.038 0.000 {built-in method builtins.all}\n", + " 16319 0.022 0.000 0.033 0.000 \\src\\mlstatpy\\nlp\\completion.py:612(init_dynamic_minimum_keystroke)\n", + " 103862 0.033 0.000 0.033 0.000 {built-in method builtins.hasattr}\n", + " 15320 0.025 0.000 0.032 0.000 {built-in method builtins.sorted}\n", + " 15321 0.004 0.000 0.030 0.000 {method 'extend' of 'collections.deque' objects}\n", + " 16320 0.018 0.000 0.028 0.000 \\src\\mlstatpy\\nlp\\completion.py:98(unsorted_iter)\n", + " 1001 0.017 0.000 0.026 0.000 \\src\\mlstatpy\\nlp\\completion.py:133(leaves)\n", + " 298802 0.025 0.000 0.025 0.000 {built-in method builtins.len}\n", + " 100948 0.025 0.000 0.025 0.000 \\src\\mlstatpy\\nlp\\completion.py:438()\n", + " 3000 0.021 0.000 0.021 0.000 \\src\\mlstatpy\\nlp\\completion.py:260(find)\n", + " 16319 0.019 0.000 0.021 0.000 \\src\\mlstatpy\\nlp\\completion.py:22(__init__)\n", + " 16318 0.013 0.000 0.013 0.000 \\src\\mlstatpy\\nlp\\completion.py:56(_add)\n", + " 22232 0.013 0.000 0.013 0.000 {built-in method builtins.min}\n", + " 45960 0.013 0.000 0.013 0.000 {method 'extend' of 'list' objects}\n", + " 1 0.001 0.001 0.010 0.010 :13()\n", + " 1 0.001 0.001 0.010 0.010 :10()\n", + " 1 0.001 0.001 0.010 0.010 :11()\n", + " 109481 0.010 0.000 0.010 0.000 {method 'values' of 'dict' objects}\n", + " 1000 0.001 0.000 0.009 0.000 \\src\\mlstatpy\\nlp\\completion.py:385(min_dynamic_keystroke2)\n", + " 1000 0.001 0.000 0.009 0.000 \\src\\mlstatpy\\nlp\\completion.py:355(min_dynamic_keystroke)\n", + " 1000 0.001 0.000 0.009 0.000 \\src\\mlstatpy\\nlp\\completion.py:324(min_keystroke0)\n", + " 15320 0.007 0.000 0.007 0.000 \\src\\mlstatpy\\nlp\\completion.py:497()\n", + " 49834 0.007 0.000 0.007 0.000 {method 'append' of 'list' objects}\n", + " 19193 0.007 0.000 0.007 0.000 {built-in method builtins.max}\n", + " 48957 0.007 0.000 0.007 0.000 {method 'pop' of 'list' objects}\n", + " 16320 0.006 0.000 0.006 0.000 \\src\\mlstatpy\\nlp\\completion.py:503()\n", + " 15320 0.004 0.000 0.004 0.000 \\src\\mlstatpy\\nlp\\completion.py:494(Fake)\n", + " 51197 0.004 0.000 0.004 0.000 {method 'popleft' of 'collections.deque' objects}\n", + " 33879 0.003 0.000 0.003 0.000 {method 'append' of 'collections.deque' objects}\n", + " 30640 0.002 0.000 0.002 0.000 {method 'items' of 'dict' objects}\n", + " 17319 0.002 0.000 0.002 0.000 {built-in method builtins.isinstance}\n", " 5 0.000 0.000 0.002 0.000 {built-in method builtins.sum}\n", - " 17619 0.002 0.000 0.002 0.000 {built-in method builtins.isinstance}\n", - " 1001 0.000 0.000 0.001 0.000 :18()\n", + " 1 0.001 0.001 0.001 0.001 :7()\n", + " 1001 0.000 0.000 0.000 0.000 :18()\n", " 1001 0.000 0.000 0.000 0.000 :15()\n", - " 1001 0.000 0.000 0.000 0.000 :16()\n", " 1001 0.000 0.000 0.000 0.000 :17()\n", + " 1001 0.000 0.000 0.000 0.000 :16()\n", " 1 0.000 0.000 0.000 0.000 {method 'disable' of '_lsprof.Profiler' objects}\n", "\n", "\n", @@ -345,7 +345,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": { "collapsed": false }, @@ -357,7 +357,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 11, "metadata": { "collapsed": false }, @@ -366,17 +366,17 @@ "name": "stdout", "output_type": "stream", "text": [ - "peak memory: 349.15 MiB, increment: 17.55 MiB\n" + "peak memory: 349.62 MiB, increment: 15.51 MiB\n" ] } ], "source": [ - "%memit toprofile(sample1000)" + "%memit toprofile0(sample1000)" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 12, "metadata": { "collapsed": false }, @@ -385,7 +385,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "ERROR: Could not find file \n", + "ERROR: Could not find file \n", "NOTE: %mprun can only be used on functions defined in physical files, and not in the IPython environment.\n" ] } @@ -401,7 +401,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 13, "metadata": { "collapsed": false }, @@ -449,7 +449,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 14, "metadata": { "collapsed": false }, @@ -462,35 +462,35 @@ "\n", "Line # Mem usage Increment Line Contents\n", "================================================\n", - " 5 26.0273 MiB 0.0000 MiB @profile(precision=4)\n", + " 5 26.0820 MiB 0.0000 MiB @profile(precision=4)\n", " 6 def gain_dynamique_moyen_par_mot(queries, weights):\n", - " 7 26.0508 MiB 0.0234 MiB per = list(zip(weights, queries))\n", - " 8 26.0508 MiB 0.0000 MiB total = sum(weights) * 1.0\n", - " 9 26.0508 MiB 0.0000 MiB res = []\n", - " 10 33.4805 MiB 7.4297 MiB trie = CompletionTrieNode.build([(None, q) for _, q in per])\n", - " 11 42.1641 MiB 8.6836 MiB trie.precompute_stat()\n", - " 12 47.1914 MiB 5.0273 MiB trie.update_stat_dynamic()\n", - " 13 47.2539 MiB 0.0625 MiB wks = [(w, p, len(w) - trie.min_keystroke0(w)[0]) for p, w in per]\n", - " 14 47.3359 MiB 0.0820 MiB wks_dyn = [(w, p, len(w) - trie.min_dynamic_keystroke(w)[0])\n", - " 15 47.3359 MiB 0.0000 MiB for p, w in per]\n", - " 16 47.4141 MiB 0.0781 MiB wks_dyn2 = [(w, p, len(w) - trie.min_dynamic_keystroke2(w)[0])\n", - " 17 47.4141 MiB 0.0000 MiB for p, w in per]\n", - " 18 47.4141 MiB 0.0000 MiB gain = sum(g * p / total for w, p, g in wks)\n", - " 19 47.4141 MiB 0.0000 MiB gain_dyn = sum(g * p / total for w, p, g in wks_dyn)\n", - " 20 47.4180 MiB 0.0039 MiB gain_dyn2 = sum(g * p / total for w, p, g in wks_dyn2)\n", - " 21 47.4180 MiB 0.0000 MiB ave_length = sum(len(w) * p / total for p, w in per)\n", - " 22 47.4180 MiB 0.0000 MiB return gain, gain_dyn, gain_dyn2, ave_length\n", + " 7 26.0977 MiB 0.0156 MiB per = list(zip(weights, queries))\n", + " 8 26.0977 MiB 0.0000 MiB total = sum(weights) * 1.0\n", + " 9 26.0977 MiB 0.0000 MiB res = []\n", + " 10 33.4883 MiB 7.3906 MiB trie = CompletionTrieNode.build([(None, q) for _, q in per])\n", + " 11 41.8125 MiB 8.3242 MiB trie.precompute_stat()\n", + " 12 46.7109 MiB 4.8984 MiB trie.update_stat_dynamic()\n", + " 13 46.8750 MiB 0.1641 MiB wks = [(w, p, len(w) - trie.min_keystroke0(w)[0]) for p, w in per]\n", + " 14 46.9570 MiB 0.0820 MiB wks_dyn = [(w, p, len(w) - trie.min_dynamic_keystroke(w)[0])\n", + " 15 46.9570 MiB 0.0000 MiB for p, w in per]\n", + " 16 47.0391 MiB 0.0820 MiB wks_dyn2 = [(w, p, len(w) - trie.min_dynamic_keystroke2(w)[0])\n", + " 17 47.0391 MiB 0.0000 MiB for p, w in per]\n", + " 18 47.0391 MiB 0.0000 MiB gain = sum(g * p / total for w, p, g in wks)\n", + " 19 47.0391 MiB 0.0000 MiB gain_dyn = sum(g * p / total for w, p, g in wks_dyn)\n", + " 20 47.0430 MiB 0.0039 MiB gain_dyn2 = sum(g * p / total for w, p, g in wks_dyn2)\n", + " 21 47.0430 MiB 0.0000 MiB ave_length = sum(len(w) * p / total for p, w in per)\n", + " 22 47.0430 MiB 0.0000 MiB return gain, gain_dyn, gain_dyn2, ave_length\n", "\n", "\n", "Filename: temp_mem_profile.py\n", "\n", "Line # Mem usage Increment Line Contents\n", "================================================\n", - " 24 25.7227 MiB 0.0000 MiB @profile(precision=4)\n", + " 24 25.8633 MiB 0.0000 MiB @profile(precision=4)\n", " 25 def toprofile():\n", - " 26 25.7266 MiB 0.0039 MiB with open(\"sample1000.txt\", \"r\", encoding=\"utf-8\") as f:\n", - " 27 26.0039 MiB 0.2773 MiB lines = [_.strip(\"\\n\\r \") for _ in f.readlines()]\n", - " 28 47.4180 MiB 21.4141 MiB gain_dynamique_moyen_par_mot(lines, [1.0] * len(lines))\n", + " 26 25.8633 MiB 0.0000 MiB with open(\"sample1000.txt\", \"r\", encoding=\"utf-8\") as f:\n", + " 27 26.0820 MiB 0.2188 MiB lines = [_.strip(\"\\n\\r \") for _ in f.readlines()]\n", + " 28 47.0430 MiB 20.9609 MiB gain_dynamique_moyen_par_mot(lines, [1.0] * len(lines))\n", "\n", "\n", "\n" @@ -510,14 +510,28 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## pycallgraph\n", + "## gprof2dot\n", "\n", - "See [pycallgraph](http://pycallgraph.slowchop.com/en/develop/genindex.html), see also the [options](https://github.com/gak/pycallgraph/blob/develop/pycallgraph/output/graphviz.py) for Graphviz." + "See [gprof2dot](https://github.com/jrfonseca/gprof2dot)." ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 27, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import gprof2dot\n", + "import sys\n", + "sys.argv=[\"\", \"-f\", \"pstats\", \"completion.prof\", \"-o\", \"completion.dot\"]\n", + "gprof2dot.main()" + ] + }, + { + "cell_type": "code", + "execution_count": 29, "metadata": { "collapsed": false }, @@ -529,48 +543,47 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 34, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], "source": [ - "from pycallgraph import PyCallGraph\n", - "from pycallgraph.output import GraphvizOutput\n", - "\n", - "graphviz = GraphvizOutput()\n", - "graphviz.output_file = 'profile_dot.png'\n", - "graphviz.tool = dot\n", - "graphviz.font_size = 10\n", - "\n", - "if False:\n", - " # does not always work\n", - " with PyCallGraph(output=graphviz):\n", - " toprofile0(sample1000) " + "from pyquickhelper.loghelper import run_cmd\n", + "out, err = run_cmd('\"{0}\" completion.dot -Tpng -ocompletion.png'.format(dot), wait=True)\n", + "print(out)" ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 35, "metadata": { "collapsed": false }, "outputs": [ { "data": { - "image/png": "profile_dot.png", + "image/png": 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pQkO9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Dq0byiNG9aUf3/0s+pSAGSxst3lqksAAFvbtu2WmrGqqssAAAAA4KOysr2qSwhM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"text/plain": [ "" ] }, - "execution_count": 20, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from IPython.display import Image\n", - "Image(graphviz.output_file)" + "Image(\"completion.png\")" ] }, { @@ -584,7 +597,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 36, "metadata": { "collapsed": false }, @@ -593,20 +606,20 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[31m4.924\u001b[0m gain_dynamique_moyen_par_mot \u001b[2m:3\u001b[0m\n", - "├─ \u001b[33m2.739\u001b[0m precompute_stat \u001b[2mmlstatpy\\nlp\\completion.py:418\u001b[0m\n", - "│ ├─ \u001b[33m1.762\u001b[0m merge_completions \u001b[2mmlstatpy\\nlp\\completion.py:489\u001b[0m\n", - "│ │ └─ \u001b[32m0.317\u001b[0m \u001b[2mmlstatpy\\nlp\\completion.py:509\u001b[0m\n", - "│ ├─ \u001b[92m\u001b[2m0.097\u001b[0m update_minimum_keystroke \u001b[2mmlstatpy\\nlp\\completion.py:528\u001b[0m\n", - "│ ├─ \u001b[92m\u001b[2m0.094\u001b[0m leaves \u001b[2mmlstatpy\\nlp\\completion.py:133\u001b[0m\n", - "│ └─ \u001b[92m\u001b[2m0.093\u001b[0m \u001b[2mmlstatpy\\nlp\\completion.py:438\u001b[0m\n", - "├─ \u001b[33m1.925\u001b[0m update_stat_dynamic \u001b[2mmlstatpy\\nlp\\completion.py:453\u001b[0m\n", - "│ ├─ \u001b[33m1.181\u001b[0m update_dynamic_minimum_keystroke \u001b[2mmlstatpy\\nlp\\completion.py:541\u001b[0m\n", - "│ │ └─ \u001b[32m0.428\u001b[0m second_step \u001b[2mmlstatpy\\nlp\\completion.py:591\u001b[0m\n", - "│ ├─ \u001b[92m\u001b[2m0.125\u001b[0m unsorted_iter \u001b[2mmlstatpy\\nlp\\completion.py:98\u001b[0m\n", - "│ └─ \u001b[92m\u001b[2m0.069\u001b[0m init_dynamic_minimum_keystroke \u001b[2mmlstatpy\\nlp\\completion.py:612\u001b[0m\n", - "└─ \u001b[92m\u001b[2m0.175\u001b[0m build \u001b[2mmlstatpy\\nlp\\completion.py:205\u001b[0m\n", - " └─ \u001b[92m\u001b[2m0.065\u001b[0m __init__ \u001b[2mmlstatpy\\nlp\\completion.py:22\u001b[0m\n", + "\u001b[31m4.613\u001b[0m gain_dynamique_moyen_par_mot \u001b[2m:3\u001b[0m\n", + "├─ \u001b[33m2.765\u001b[0m precompute_stat \u001b[2mmlstatpy\\nlp\\completion.py:418\u001b[0m\n", + "│ ├─ \u001b[33m1.824\u001b[0m merge_completions \u001b[2mmlstatpy\\nlp\\completion.py:489\u001b[0m\n", + "│ │ └─ \u001b[32m0.307\u001b[0m \u001b[2mmlstatpy\\nlp\\completion.py:509\u001b[0m\n", + "│ ├─ \u001b[92m\u001b[2m0.108\u001b[0m update_minimum_keystroke \u001b[2mmlstatpy\\nlp\\completion.py:528\u001b[0m\n", + "│ ├─ \u001b[92m\u001b[2m0.100\u001b[0m \u001b[2mmlstatpy\\nlp\\completion.py:438\u001b[0m\n", + "│ └─ \u001b[92m\u001b[2m0.096\u001b[0m leaves \u001b[2mmlstatpy\\nlp\\completion.py:133\u001b[0m\n", + "├─ \u001b[33m1.544\u001b[0m update_stat_dynamic \u001b[2mmlstatpy\\nlp\\completion.py:453\u001b[0m\n", + "│ ├─ \u001b[32m0.867\u001b[0m update_dynamic_minimum_keystroke \u001b[2mmlstatpy\\nlp\\completion.py:541\u001b[0m\n", + "│ │ └─ \u001b[32m0.301\u001b[0m second_step \u001b[2mmlstatpy\\nlp\\completion.py:591\u001b[0m\n", + "│ ├─ \u001b[92m\u001b[2m0.147\u001b[0m unsorted_iter \u001b[2mmlstatpy\\nlp\\completion.py:98\u001b[0m\n", + "│ └─ \u001b[92m\u001b[2m0.059\u001b[0m init_dynamic_minimum_keystroke \u001b[2mmlstatpy\\nlp\\completion.py:612\u001b[0m\n", + "└─ \u001b[92m\u001b[2m0.174\u001b[0m build \u001b[2mmlstatpy\\nlp\\completion.py:205\u001b[0m\n", + " └─ \u001b[92m\u001b[2m0.058\u001b[0m __init__ \u001b[2mmlstatpy\\nlp\\completion.py:22\u001b[0m\n", "\n" ] } @@ -633,7 +646,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 37, "metadata": { "collapsed": false }, @@ -651,7 +664,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 38, "metadata": { "collapsed": false }, @@ -671,7 +684,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 39, "metadata": { "collapsed": true }, @@ -683,7 +696,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 40, "metadata": { "collapsed": true }, @@ -694,7 +707,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 41, "metadata": { "collapsed": false }, @@ -705,31 +718,31 @@ "text": [ "Timer unit: 4.27635e-07 s\n", "\n", - "Total time: 4.03233 s\n", + "Total time: 4.98794 s\n", "File: \n", "Function: gain_dynamique_moyen_par_mot at line 3\n", "\n", "Line # Hits Time Per Hit % Time Line Contents\n", "==============================================================\n", " 3 def gain_dynamique_moyen_par_mot(queries, weights):\n", - " 4 1 708 708.0 0.0 per = list(zip(weights, queries))\n", - " 5 1 31 31.0 0.0 total = sum(weights) * 1.0\n", - " 6 1 6 6.0 0.0 res = []\n", - " 7 1 845977 845977.0 9.0 trie = CompletionTrieNode.build([(None, q) for _, q in per])\n", - " 8 1 5757749 5757749.0 61.1 trie.precompute_stat()\n", - " 9 1 2591918 2591918.0 27.5 trie.update_stat_dynamic()\n", - " 10 1 74224 74224.0 0.8 wks = [(w, p, len(w) - trie.min_keystroke0(w)[0]) for p, w in per]\n", - " 11 1 18 18.0 0.0 wks_dyn = [(w, p, len(w) - trie.min_dynamic_keystroke(w)[0])\n", - " 12 1 81506 81506.0 0.9 for p, w in per]\n", - " 13 1 15 15.0 0.0 wks_dyn2 = [(w, p, len(w) - trie.min_dynamic_keystroke2(w)[0])\n", - " 14 1 69633 69633.0 0.7 for p, w in per]\n", - " 15 1 1897 1897.0 0.0 gain = sum(g * p / total for w, p, g in wks)\n", - " 16 1 1832 1832.0 0.0 gain_dyn = sum(g * p / total for w, p, g in wks_dyn)\n", - " 17 1 1808 1808.0 0.0 gain_dyn2 = sum(g * p / total for w, p, g in wks_dyn2)\n", - " 18 1 2044 2044.0 0.0 ave_length = sum(len(w) * p / total for p, w in per)\n", - " 19 1 7 7.0 0.0 return gain, gain_dyn, gain_dyn2, ave_length\n", + " 4 1 779 779.0 0.0 per = list(zip(weights, queries))\n", + " 5 1 44 44.0 0.0 total = sum(weights) * 1.0\n", + " 6 1 8 8.0 0.0 res = []\n", + " 7 1 661721 661721.0 5.7 trie = CompletionTrieNode.build([(None, q) for _, q in per])\n", + " 8 1 8560782 8560782.0 73.4 trie.precompute_stat()\n", + " 9 1 2136270 2136270.0 18.3 trie.update_stat_dynamic()\n", + " 10 1 97001 97001.0 0.8 wks = [(w, p, len(w) - trie.min_keystroke0(w)[0]) for p, w in per]\n", + " 11 1 21 21.0 0.0 wks_dyn = [(w, p, len(w) - trie.min_dynamic_keystroke(w)[0])\n", + " 12 1 97759 97759.0 0.8 for p, w in per]\n", + " 13 1 17 17.0 0.0 wks_dyn2 = [(w, p, len(w) - trie.min_dynamic_keystroke2(w)[0])\n", + " 14 1 99623 99623.0 0.9 for p, w in per]\n", + " 15 1 2067 2067.0 0.0 gain = sum(g * p / total for w, p, g in wks)\n", + " 16 1 1973 1973.0 0.0 gain_dyn = sum(g * p / total for w, p, g in wks_dyn)\n", + " 17 1 2201 2201.0 0.0 gain_dyn2 = sum(g * p / total for w, p, g in wks_dyn2)\n", + " 18 1 3730 3730.0 0.0 ave_length = sum(len(w) * p / total for p, w in per)\n", + " 19 1 18 18.0 0.0 return gain, gain_dyn, gain_dyn2, ave_length\n", "\n", - "Total time: 2.01937 s\n", + "Total time: 3.09657 s\n", "File: \\src\\mlstatpy\\nlp\\completion.py\n", "Function: precompute_stat at line 418\n", "\n", @@ -742,33 +755,33 @@ " 422 \n", " 423 @param clean clean stat\n", " 424 \"\"\"\n", - " 425 1 8 8.0 0.0 stack = deque()\n", - " 426 1 71502 71502.0 1.5 stack.extend(self.leaves())\n", - " 427 52841 180936 3.4 3.8 while len(stack) > 0:\n", - " 428 52840 176472 3.3 3.7 pop = stack.popleft()\n", - " 429 52840 164364 3.1 3.5 if pop.stat is not None:\n", - " 430 17617 45390 2.6 1.0 continue\n", - " 431 35223 106981 3.0 2.3 if not pop.children:\n", - " 432 999 3666 3.7 0.1 pop.stat = CompletionTrieNode._Stat()\n", - " 433 999 7270 7.3 0.2 pop.stat.completions = []\n", - " 434 999 3769 3.8 0.1 pop.stat.mks0 = len(pop.value)\n", - " 435 999 3562 3.6 0.1 pop.stat.mks0_ = len(pop.value)\n", - " 436 999 2969 3.0 0.1 if pop.parent is not None:\n", - " 437 999 3142 3.1 0.1 stack.append(pop.parent)\n", - " 438 34224 379085 11.1 8.0 elif all(v.stat is not None for v in pop.children.values()):\n", - " 439 15620 71632 4.6 1.5 pop.stat = CompletionTrieNode._Stat()\n", - " 440 15620 45580 2.9 1.0 if pop.leave:\n", - " 441 1 4 4.0 0.0 pop.stat.mks0 = len(pop.value)\n", - " 442 1 3 3.0 0.0 pop.stat.mks0_ = len(pop.value)\n", - " 443 15620 69648 4.5 1.5 stack.extend(pop.children.values())\n", - " 444 15620 2871232 183.8 60.8 pop.stat.merge_completions(pop.value, pop.children.values())\n", - " 445 15620 66854 4.3 1.4 pop.stat.next_nodes = pop.children\n", - " 446 15620 271246 17.4 5.7 pop.stat.update_minimum_keystroke(len(pop.value))\n", - " 447 15620 52869 3.4 1.1 if pop.parent is not None:\n", - " 448 15619 57457 3.7 1.2 stack.append(pop.parent)\n", + " 425 1 7 7.0 0.0 stack = deque()\n", + " 426 1 102418 102418.0 1.4 stack.extend(self.leaves())\n", + " 427 51198 218393 4.3 3.0 while len(stack) > 0:\n", + " 428 51197 210612 4.1 2.9 pop = stack.popleft()\n", + " 429 51197 205580 4.0 2.8 if pop.stat is not None:\n", + " 430 17317 54003 3.1 0.7 continue\n", + " 431 33880 129436 3.8 1.8 if not pop.children:\n", + " 432 999 5583 5.6 0.1 pop.stat = CompletionTrieNode._Stat()\n", + " 433 999 6865 6.9 0.1 pop.stat.completions = []\n", + " 434 999 5991 6.0 0.1 pop.stat.mks0 = len(pop.value)\n", + " 435 999 4945 4.9 0.1 pop.stat.mks0_ = len(pop.value)\n", + " 436 999 4145 4.1 0.1 if pop.parent is not None:\n", + " 437 999 4435 4.4 0.1 stack.append(pop.parent)\n", + " 438 32881 550008 16.7 7.6 elif all(v.stat is not None for v in pop.children.values()):\n", + " 439 15320 92875 6.1 1.3 pop.stat = CompletionTrieNode._Stat()\n", + " 440 15320 57320 3.7 0.8 if pop.leave:\n", + " 441 1 9 9.0 0.0 pop.stat.mks0 = len(pop.value)\n", + " 442 1 6 6.0 0.0 pop.stat.mks0_ = len(pop.value)\n", + " 443 15320 90316 5.9 1.2 stack.extend(pop.children.values())\n", + " 444 15320 4781522 312.1 66.0 pop.stat.merge_completions(pop.value, pop.children.values())\n", + " 445 15320 99294 6.5 1.4 pop.stat.next_nodes = pop.children\n", + " 446 15320 388869 25.4 5.4 pop.stat.update_minimum_keystroke(len(pop.value))\n", + " 447 15320 70081 4.6 1.0 if pop.parent is not None:\n", + " 448 15319 76083 5.0 1.1 stack.append(pop.parent)\n", " 449 else:\n", " 450 # we'll do it again later\n", - " 451 18604 66540 3.6 1.4 stack.append(pop)\n", + " 451 17561 82364 4.7 1.1 stack.append(pop)\n", "\n", "\n" ] @@ -787,15 +800,6 @@ "print(res)" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] - }, { "cell_type": "code", "execution_count": null,