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        "author": "Robert Sebille",
        "author_email": "robert@sebille.name",
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        "classifiers": [
            "License :: OSI Approved :: GNU General Public License (GPL)",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
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        "description": "# TimeTime\n\n## R\u00e9sum\u00e9\n\nTimeTime est une classe qui permet d\u2019afficher le temps d\u2019ex\u00e9cution de fonctions, \u00e9galement de les comparer entre eux. TimTime retourne le temps d\u2019ex\u00e9cution total pour <loops> boucles (par d\u00e9faut 10000) et le temps moyen par boucle.\n\nTimeTime est simple \u00e0 utiliser. Il est bas\u00e9 sur les modules built-in time et re.\n\n## Usage\n*Les fonctions \u00e0 comparer doivent \u00eatre sans arguments.*\nIl est fortement recommand\u00e9, pour la lisibilit\u00e9 des r\u00e9sultats de l'analyse, qu'elle ne comporte pas d'impressions \u00e9cran de r\u00e9sultats de la fonction elle-m\u00eame *(si \u00e7a doit \u00eatre le cas, voyez une alternative pour \u00e9viter un \"print\" dans l'exemple)*. \n```python\nfrom timetime import TimeTime\n\ndef fonction1():\n\t...\n\ndef fonction2():\n\t...\n\nf1 = TimeTime(fonction1)\nf2 = TimeTime(fonction2)\n\nprint(f1)\nprint(f2)\nprint(f1 == f2)\netc.\n\nTimeTime.loops = 1000\nTimeTime.version()\nTimeTime.demo()\netc.\n```\n\n### Exemple\ncet exemple vous montre \u00e9galement comment contourner le cas o\u00f9 vos fonctions de test doivent envoyer des impressions. On les renvoie dans un fichier /dev/null (nul - je crois, sous windows)\n```python\nimport os\nfrom timetime import TimeTime as tt\n\ndef fonc1():\n    with open(os.devnull, 'w') as f:\n         f.write('b'+'c')\n\na = 'b'+'c'\ndef fonc2():\n    with open(os.devnull, 'w') as f:\n        f.write(a)\n\nf1 = tt(fonc1)\nf2 = tt(fonc2)\n# quelle est la fonction la plus rapide ?\nfor i in range(3):\n    print(\"--- phase\", i, \"---\")\n    print(f1 == f2)\n```\n### Commentaires \u00e0 propos de l'exemple\nLes r\u00e9sultats:\n```python\n--- phase 0 ---\n\nfonc1() == fonc2()\n------------------------------------------\nfonc1(), 10000 loops.\nTotal runtime = 0.2219841480255127\nMean loop = 2.219841480255127e-05\n------------------------------------------\n------------------------------------------\nfonc2(), 10000 loops.\nTotal runtime = 0.21685266494750977\nMean loop = 2.1685266494750976e-05\n------------------------------------------\n--- phase 1 ---\n\nfonc1() == fonc2()\n------------------------------------------\nfonc1(), 10000 loops.\nTotal runtime = 0.21837949752807617\nMean loop = 2.1837949752807617e-05\n------------------------------------------\n------------------------------------------\nfonc2(), 10000 loops.\nTotal runtime = 0.216231107711792\nMean loop = 2.16231107711792e-05\n------------------------------------------\n--- phase 2 ---\n\nfonc1() == fonc2()\n------------------------------------------\nfonc1(), 10000 loops.\nTotal runtime = 0.21810102462768555\nMean loop = 2.1810102462768555e-05\n------------------------------------------\n------------------------------------------\nfonc2(), 10000 loops.\nTotal runtime = 0.21857643127441406\nMean loop = 2.1857643127441406e-05\n------------------------------------------\n\n```\n### que constate-ton ?\nQue l'avantage de concatener pr\u00e9alablement une seule fois n'est pas du tout \u00e9vident sur le fait de concat\u00e9ner l'\u00e9quivalent de la chaine`a` \u00e0 chaque tour de boucle. \n\nCes comparaisons entre diverses impl\u00e9mentations ou diverses fonctions ne sont pas toujours aussi proches; voyez `timetime_demo.py`\n\n",
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        "home_page": "https://framagit.org/zenjo/timetime/wikis/home",
        "keywords": "",
        "license": "GNU GPL",
        "maintainer": "Robert Sebille",
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        "name": "timetime",
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        "summary": "TimeTime est une classe qui permet d'afficher le temps d'ex\u00e9cution de fonctions, \u00e9galement de les comparer entre eux",
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