codeparrot/codeparrot
Text Generation • Updated • 4.69k • 111
repo_name stringlengths 5 100 | path stringlengths 4 299 | copies stringclasses 990
values | size stringlengths 4 7 | content stringlengths 666 1.03M | license stringclasses 15
values | hash int64 -9,223,351,895,964,839,000 9,223,297,778B | line_mean float64 3.17 100 | line_max int64 7 1k | alpha_frac float64 0.25 0.98 | autogenerated bool 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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
tomchristie/django | django/apps/config.py | 55 | 8047 | "import os\nfrom importlib import import_module\n\nfrom django.core.exceptions import ImproperlyConf(...TRUNCATED) | bsd-3-clause | -8,530,773,113,433,397,000 | 38.640394 | 81 | 0.59227 | 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 |
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CodeParrot 🦜 Dataset Cleaned (train)
Train split of CodeParrot 🦜 Dataset Cleaned.
Dataset structure
DatasetDict({
train: Dataset({
features: ['repo_name', 'path', 'copies', 'size', 'content', 'license', 'hash', 'line_mean', 'line_max', 'alpha_frac', 'autogenerated'],
num_rows: 5300000
})
})
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