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-9,223,351,895,964,839,000
9,223,354,783B
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3.5
100
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int64
15
1k
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float64
0.25
0.96
autogenerated
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1 class
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1.5
8.15
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2 classes
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2 classes
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1 class
ahmedbodi/AutobahnPython
examples/asyncio/websocket/echo/client_coroutines.py
13
2044
############################################################################### ## ## Copyright (C) 2013-2014 Tavendo GmbH ## ## Licensed under the Apache License, Version 2.0 (the "License"); ## you may not use this file except in compliance with the License. ## You may obtain a copy of the License at ## ## h...
apache-2.0
7,822,061,744,094,950,000
31.444444
79
0.623288
false
4.214433
false
false
false
ifduyue/django
django/core/checks/registry.py
13
3108
from itertools import chain from django.utils.itercompat import is_iterable class Tags: """ Built-in tags for internal checks. """ admin = 'admin' caches = 'caches' compatibility = 'compatibility' database = 'database' models = 'models' security = 'security' signals = 'signals...
bsd-3-clause
-2,035,686,896,372,967,700
30.714286
91
0.602317
false
4.433666
false
false
false
kmike/scikit-learn
sklearn/utils/__init__.py
3
10094
""" The :mod:`sklearn.utils` module includes various utilites. """ from collections import Sequence import numpy as np from scipy.sparse import issparse import warnings from .murmurhash import murmurhash3_32 from .validation import (as_float_array, check_arrays, safe_asarray, assert_all_fini...
bsd-3-clause
2,334,709,577,611,160,600
26.883978
79
0.56806
false
3.874856
false
false
false
houlixin/BBB-TISDK
linux-devkit/sysroots/i686-arago-linux/usr/lib/python2.7/encodings/cp1250.py
593
13942
""" Python Character Mapping Codec cp1250 generated from 'MAPPINGS/VENDORS/MICSFT/WINDOWS/CP1250.TXT' with gencodec.py. """#" import codecs ### Codec APIs class Codec(codecs.Codec): def encode(self,input,errors='strict'): return codecs.charmap_encode(input,errors,encoding_table) def decode(self,in...
gpl-2.0
-6,356,832,018,515,183,000
44.413681
119
0.550351
false
3.023639
false
false
false
dataxu/ansible
lib/ansible/modules/system/kernel_blacklist.py
125
4009
#!/usr/bin/python # encoding: utf-8 -*- # Copyright: (c) 2013, Matthias Vogelgesang <matthias.vogelgesang@gmail.com> # GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt) from __future__ import absolute_import, division, print_function __metaclass__ = type ANSIBLE_METADATA = {'...
gpl-3.0
8,498,771,084,445,727,000
24.864516
92
0.575206
false
4.017034
false
false
false
163gal/Time-Line
libs_arm/wx/_controls.py
2
332374
"# This file was created automatically by SWIG 1.3.29.\n# Don't modify this file, modify the SWIG in(...TRUNCATED)
gpl-3.0
-3,839,353,247,363,315,700
41.465057
151
0.65503
false
3.857592
false
false
false
blackbliss/callme
flask/lib/python2.7/site-packages/werkzeug/contrib/cache.py
306
23519
"# -*- coding: utf-8 -*-\n\"\"\"\n werkzeug.contrib.cache\n ~~~~~~~~~~~~~~~~~~~~~~\n\n The (...TRUNCATED)
mit
-7,111,811,701,270,589,000
33.637703
86
0.579106
false
4.281631
false
false
false
pipet/pipet
pipet/sources/zendesk/tasks.py
2
1544
"from contextlib import contextmanager\nfrom datetime import datetime\nfrom inspect import isclass\n(...TRUNCATED)
apache-2.0
156,606,072,465,059,940
28.692308
96
0.645725
false
4.084656
false
false
false
prutseltje/ansible
test/units/modules/network/f5/test_bigip_gtm_datacenter.py
23
6819
"# -*- coding: utf-8 -*-\n#\n# Copyright (c) 2017 F5 Networks Inc.\n# GNU General Public License v3.(...TRUNCATED)
gpl-3.0
1,435,203,684,349,960,200
30.716279
91
0.628685
false
4.235404
true
false
false
antb/TPT----My-old-mod
src/python/stdlib/ctypes/test/test_errno.py
115
2330
"import unittest, os, errno\nfrom ctypes import *\nfrom ctypes.util import find_library\nfrom test i(...TRUNCATED)
gpl-2.0
785,952,512,028,991,400
28.125
69
0.554077
false
3.782468
true
false
false
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CodeParrot 🦜 Dataset Cleaned and filtered (train)

Dataset Description

A dataset of Python files from Github. It is a more filtered version of the train split codeparrot-clean-train of codeparrot-clean. The additional filters aim at detecting configuration and test files, as well as outlier files that are unlikely to help the model learn code. The first three filters are applied with a probability of 0.7:

  • files with a mention of "test file" or "configuration file" or similar in the first 5 lines
  • files with high occurence of the keywords "test " or "config"
  • files without a mention of the keywords def, for, while and class
  • files that use the assignment operator = less than 5 times
  • files with ratio between number of characters and number of tokens after tokenization < 1.5
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