codeparrot/codeparrot-small
Text Generation
•
Updated
•
2.34k
•
33
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
##
## http://www.apache.org/licenses/LICENSE-2.0
##
## Unless required by applicable law or agreed to in writing, software
## distributed under the License is distributed on an "AS IS" BASIS,
## WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
## See the License for the specific language governing permissions and
## limitations under the License.
##
###############################################################################
from autobahn.asyncio.websocket import WebSocketClientProtocol, \
WebSocketClientFactory
import asyncio
class MyClientProtocol(WebSocketClientProtocol):
def onConnect(self, response):
print("Server connected: {0}".format(response.peer))
@asyncio.coroutine
def onOpen(self):
print("WebSocket connection open.")
## start sending messages every second ..
while True:
self.sendMessage(u"Hello, world!".encode('utf8'))
self.sendMessage(b"\x00\x01\x03\x04", isBinary = True)
yield from asyncio.sleep(1)
def onMessage(self, payload, isBinary):
if isBinary:
print("Binary message received: {0} bytes".format(len(payload)))
else:
print("Text message received: {0}".format(payload.decode('utf8')))
def onClose(self, wasClean, code, reason):
print("WebSocket connection closed: {0}".format(reason))
if __name__ == '__main__':
import asyncio
factory = WebSocketClientFactory("ws://localhost:9000", debug = False)
factory.protocol = MyClientProtocol
loop = asyncio.get_event_loop()
coro = loop.create_connection(factory, '127.0.0.1', 9000)
loop.run_until_complete(coro)
loop.run_forever()
loop.close()
| 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'
templates = 'templates'
urls = 'urls'
class CheckRegistry:
def __init__(self):
self.registered_checks = set()
self.deployment_checks = set()
def register(self, check=None, *tags, **kwargs):
"""
Can be used as a function or a decorator. Register given function
`f` labeled with given `tags`. The function should receive **kwargs
and return list of Errors and Warnings.
Example::
registry = CheckRegistry()
@registry.register('mytag', 'anothertag')
def my_check(apps, **kwargs):
# ... perform checks and collect `errors` ...
return errors
# or
registry.register(my_check, 'mytag', 'anothertag')
"""
kwargs.setdefault('deploy', False)
def inner(check):
check.tags = tags
checks = self.deployment_checks if kwargs['deploy'] else self.registered_checks
checks.add(check)
return check
if callable(check):
return inner(check)
else:
if check:
tags += (check, )
return inner
def run_checks(self, app_configs=None, tags=None, include_deployment_checks=False):
"""
Run all registered checks and return list of Errors and Warnings.
"""
errors = []
checks = self.get_checks(include_deployment_checks)
if tags is not None:
checks = [check for check in checks if not set(check.tags).isdisjoint(tags)]
else:
# By default, 'database'-tagged checks are not run as they do more
# than mere static code analysis.
checks = [check for check in checks if Tags.database not in check.tags]
for check in checks:
new_errors = check(app_configs=app_configs)
assert is_iterable(new_errors), (
"The function %r did not return a list. All functions registered "
"with the checks registry must return a list." % check)
errors.extend(new_errors)
return errors
def tag_exists(self, tag, include_deployment_checks=False):
return tag in self.tags_available(include_deployment_checks)
def tags_available(self, deployment_checks=False):
return set(chain.from_iterable(
check.tags for check in self.get_checks(deployment_checks)
))
def get_checks(self, include_deployment_checks=False):
checks = list(self.registered_checks)
if include_deployment_checks:
checks.extend(self.deployment_checks)
return checks
registry = CheckRegistry()
register = registry.register
run_checks = registry.run_checks
tag_exists = registry.tag_exists
| 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_finite, array2d, atleast2d_or_csc,
atleast2d_or_csr, warn_if_not_float,
check_random_state)
from .class_weight import compute_class_weight
__all__ = ["murmurhash3_32", "as_float_array", "check_arrays", "safe_asarray",
"assert_all_finite", "array2d", "atleast2d_or_csc",
"atleast2d_or_csr", "warn_if_not_float", "check_random_state",
"compute_class_weight"]
# Make sure that DeprecationWarning get printed
warnings.simplefilter("always", DeprecationWarning)
class deprecated(object):
"""Decorator to mark a function or class as deprecated.
Issue a warning when the function is called/the class is instantiated and
adds a warning to the docstring.
The optional extra argument will be appended to the deprecation message
and the docstring. Note: to use this with the default value for extra, put
in an empty of parentheses:
>>> from sklearn.utils import deprecated
>>> deprecated() # doctest: +ELLIPSIS
<sklearn.utils.deprecated object at ...>
>>> @deprecated()
... def some_function(): pass
"""
# Adapted from http://wiki.python.org/moin/PythonDecoratorLibrary,
# but with many changes.
def __init__(self, extra=''):
"""
Parameters
----------
extra: string
to be added to the deprecation messages
"""
self.extra = extra
def __call__(self, obj):
if isinstance(obj, type):
return self._decorate_class(obj)
else:
return self._decorate_fun(obj)
def _decorate_class(self, cls):
msg = "Class %s is deprecated" % cls.__name__
if self.extra:
msg += "; %s" % self.extra
# FIXME: we should probably reset __new__ for full generality
init = cls.__init__
def wrapped(*args, **kwargs):
warnings.warn(msg, category=DeprecationWarning)
return init(*args, **kwargs)
cls.__init__ = wrapped
wrapped.__name__ = '__init__'
wrapped.__doc__ = self._update_doc(init.__doc__)
wrapped.deprecated_original = init
return cls
def _decorate_fun(self, fun):
"""Decorate function fun"""
msg = "Function %s is deprecated" % fun.__name__
if self.extra:
msg += "; %s" % self.extra
def wrapped(*args, **kwargs):
warnings.warn(msg, category=DeprecationWarning)
return fun(*args, **kwargs)
wrapped.__name__ = fun.__name__
wrapped.__dict__ = fun.__dict__
wrapped.__doc__ = self._update_doc(fun.__doc__)
return wrapped
def _update_doc(self, olddoc):
newdoc = "DEPRECATED"
if self.extra:
newdoc = "%s: %s" % (newdoc, self.extra)
if olddoc:
newdoc = "%s\n\n%s" % (newdoc, olddoc)
return newdoc
def safe_mask(X, mask):
"""Return a mask which is safe to use on X.
Parameters
----------
X : {array-like, sparse matrix}
Data on which to apply mask.
mask: array
Mask to be used on X.
Returns
-------
mask
"""
mask = np.asanyarray(mask)
if np.issubdtype(mask.dtype, np.int):
return mask
if hasattr(X, "toarray"):
ind = np.arange(mask.shape[0])
mask = ind[mask]
return mask
def resample(*arrays, **options):
"""Resample arrays or sparse matrices in a consistent way
The default strategy implements one step of the bootstrapping
procedure.
Parameters
----------
`*arrays` : sequence of arrays or scipy.sparse matrices with same shape[0]
replace : boolean, True by default
Implements resampling with replacement. If False, this will implement
(sliced) random permutations.
n_samples : int, None by default
Number of samples to generate. If left to None this is
automatically set to the first dimension of the arrays.
random_state : int or RandomState instance
Control the shuffling for reproducible behavior.
Returns
-------
Sequence of resampled views of the collections. The original arrays are
not impacted.
Examples
--------
It is possible to mix sparse and dense arrays in the same run::
>>> X = [[1., 0.], [2., 1.], [0., 0.]]
>>> y = np.array([0, 1, 2])
>>> from scipy.sparse import coo_matrix
>>> X_sparse = coo_matrix(X)
>>> from sklearn.utils import resample
>>> X, X_sparse, y = resample(X, X_sparse, y, random_state=0)
>>> X
array([[ 1., 0.],
[ 2., 1.],
[ 1., 0.]])
>>> X_sparse # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE
<3x2 sparse matrix of type '<... 'numpy.float64'>'
with 4 stored elements in Compressed Sparse Row format>
>>> X_sparse.toarray()
array([[ 1., 0.],
[ 2., 1.],
[ 1., 0.]])
>>> y
array([0, 1, 0])
>>> resample(y, n_samples=2, random_state=0)
array([0, 1])
See also
--------
:class:`sklearn.cross_validation.Bootstrap`
:func:`sklearn.utils.shuffle`
"""
random_state = check_random_state(options.pop('random_state', None))
replace = options.pop('replace', True)
max_n_samples = options.pop('n_samples', None)
if options:
raise ValueError("Unexpected kw arguments: %r" % options.keys())
if len(arrays) == 0:
return None
first = arrays[0]
n_samples = first.shape[0] if hasattr(first, 'shape') else len(first)
if max_n_samples is None:
max_n_samples = n_samples
if max_n_samples > n_samples:
raise ValueError("Cannot sample %d out of arrays with dim %d" % (
max_n_samples, n_samples))
arrays = check_arrays(*arrays, sparse_format='csr')
if replace:
indices = random_state.randint(0, n_samples, size=(max_n_samples,))
else:
indices = np.arange(n_samples)
random_state.shuffle(indices)
indices = indices[:max_n_samples]
resampled_arrays = []
for array in arrays:
array = array[indices]
resampled_arrays.append(array)
if len(resampled_arrays) == 1:
# syntactic sugar for the unit argument case
return resampled_arrays[0]
else:
return resampled_arrays
def shuffle(*arrays, **options):
"""Shuffle arrays or sparse matrices in a consistent way
This is a convenience alias to ``resample(*arrays, replace=False)`` to do
random permutations of the collections.
Parameters
----------
`*arrays` : sequence of arrays or scipy.sparse matrices with same shape[0]
random_state : int or RandomState instance
Control the shuffling for reproducible behavior.
n_samples : int, None by default
Number of samples to generate. If left to None this is
automatically set to the first dimension of the arrays.
Returns
-------
Sequence of shuffled views of the collections. The original arrays are
not impacted.
Examples
--------
It is possible to mix sparse and dense arrays in the same run::
>>> X = [[1., 0.], [2., 1.], [0., 0.]]
>>> y = np.array([0, 1, 2])
>>> from scipy.sparse import coo_matrix
>>> X_sparse = coo_matrix(X)
>>> from sklearn.utils import shuffle
>>> X, X_sparse, y = shuffle(X, X_sparse, y, random_state=0)
>>> X
array([[ 0., 0.],
[ 2., 1.],
[ 1., 0.]])
>>> X_sparse # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE
<3x2 sparse matrix of type '<... 'numpy.float64'>'
with 3 stored elements in Compressed Sparse Row format>
>>> X_sparse.toarray()
array([[ 0., 0.],
[ 2., 1.],
[ 1., 0.]])
>>> y
array([2, 1, 0])
>>> shuffle(y, n_samples=2, random_state=0)
array([0, 1])
See also
--------
:func:`sklearn.utils.resample`
"""
options['replace'] = False
return resample(*arrays, **options)
def safe_sqr(X, copy=True):
"""Element wise squaring of array-likes and sparse matrices.
Parameters
----------
X : array like, matrix, sparse matrix
Returns
-------
X ** 2 : element wise square
"""
X = safe_asarray(X)
if issparse(X):
if copy:
X = X.copy()
X.data **= 2
else:
if copy:
X = X ** 2
else:
X **= 2
return X
def gen_even_slices(n, n_packs):
"""Generator to create n_packs slices going up to n.
Examples
--------
>>> from sklearn.utils import gen_even_slices
>>> list(gen_even_slices(10, 1))
[slice(0, 10, None)]
>>> list(gen_even_slices(10, 10)) #doctest: +ELLIPSIS
[slice(0, 1, None), slice(1, 2, None), ..., slice(9, 10, None)]
>>> list(gen_even_slices(10, 5)) #doctest: +ELLIPSIS
[slice(0, 2, None), slice(2, 4, None), ..., slice(8, 10, None)]
>>> list(gen_even_slices(10, 3))
[slice(0, 4, None), slice(4, 7, None), slice(7, 10, None)]
"""
start = 0
for pack_num in range(n_packs):
this_n = n // n_packs
if pack_num < n % n_packs:
this_n += 1
if this_n > 0:
end = start + this_n
yield slice(start, end, None)
start = end
def tosequence(x):
"""Cast iterable x to a Sequence, avoiding a copy if possible."""
if isinstance(x, np.ndarray):
return np.asarray(x)
elif isinstance(x, Sequence):
return x
else:
return list(x)
class ConvergenceWarning(Warning):
"Custom warning to capture convergence problems"
| 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,input,errors='strict'):
return codecs.charmap_decode(input,errors,decoding_table)
class IncrementalEncoder(codecs.IncrementalEncoder):
def encode(self, input, final=False):
return codecs.charmap_encode(input,self.errors,encoding_table)[0]
class IncrementalDecoder(codecs.IncrementalDecoder):
def decode(self, input, final=False):
return codecs.charmap_decode(input,self.errors,decoding_table)[0]
class StreamWriter(Codec,codecs.StreamWriter):
pass
class StreamReader(Codec,codecs.StreamReader):
pass
### encodings module API
def getregentry():
return codecs.CodecInfo(
name='cp1250',
encode=Codec().encode,
decode=Codec().decode,
incrementalencoder=IncrementalEncoder,
incrementaldecoder=IncrementalDecoder,
streamreader=StreamReader,
streamwriter=StreamWriter,
)
### Decoding Table
decoding_table = (
u'\x00' # 0x00 -> NULL
u'\x01' # 0x01 -> START OF HEADING
u'\x02' # 0x02 -> START OF TEXT
u'\x03' # 0x03 -> END OF TEXT
u'\x04' # 0x04 -> END OF TRANSMISSION
u'\x05' # 0x05 -> ENQUIRY
u'\x06' # 0x06 -> ACKNOWLEDGE
u'\x07' # 0x07 -> BELL
u'\x08' # 0x08 -> BACKSPACE
u'\t' # 0x09 -> HORIZONTAL TABULATION
u'\n' # 0x0A -> LINE FEED
u'\x0b' # 0x0B -> VERTICAL TABULATION
u'\x0c' # 0x0C -> FORM FEED
u'\r' # 0x0D -> CARRIAGE RETURN
u'\x0e' # 0x0E -> SHIFT OUT
u'\x0f' # 0x0F -> SHIFT IN
u'\x10' # 0x10 -> DATA LINK ESCAPE
u'\x11' # 0x11 -> DEVICE CONTROL ONE
u'\x12' # 0x12 -> DEVICE CONTROL TWO
u'\x13' # 0x13 -> DEVICE CONTROL THREE
u'\x14' # 0x14 -> DEVICE CONTROL FOUR
u'\x15' # 0x15 -> NEGATIVE ACKNOWLEDGE
u'\x16' # 0x16 -> SYNCHRONOUS IDLE
u'\x17' # 0x17 -> END OF TRANSMISSION BLOCK
u'\x18' # 0x18 -> CANCEL
u'\x19' # 0x19 -> END OF MEDIUM
u'\x1a' # 0x1A -> SUBSTITUTE
u'\x1b' # 0x1B -> ESCAPE
u'\x1c' # 0x1C -> FILE SEPARATOR
u'\x1d' # 0x1D -> GROUP SEPARATOR
u'\x1e' # 0x1E -> RECORD SEPARATOR
u'\x1f' # 0x1F -> UNIT SEPARATOR
u' ' # 0x20 -> SPACE
u'!' # 0x21 -> EXCLAMATION MARK
u'"' # 0x22 -> QUOTATION MARK
u'#' # 0x23 -> NUMBER SIGN
u'$' # 0x24 -> DOLLAR SIGN
u'%' # 0x25 -> PERCENT SIGN
u'&' # 0x26 -> AMPERSAND
u"'" # 0x27 -> APOSTROPHE
u'(' # 0x28 -> LEFT PARENTHESIS
u')' # 0x29 -> RIGHT PARENTHESIS
u'*' # 0x2A -> ASTERISK
u'+' # 0x2B -> PLUS SIGN
u',' # 0x2C -> COMMA
u'-' # 0x2D -> HYPHEN-MINUS
u'.' # 0x2E -> FULL STOP
u'/' # 0x2F -> SOLIDUS
u'0' # 0x30 -> DIGIT ZERO
u'1' # 0x31 -> DIGIT ONE
u'2' # 0x32 -> DIGIT TWO
u'3' # 0x33 -> DIGIT THREE
u'4' # 0x34 -> DIGIT FOUR
u'5' # 0x35 -> DIGIT FIVE
u'6' # 0x36 -> DIGIT SIX
u'7' # 0x37 -> DIGIT SEVEN
u'8' # 0x38 -> DIGIT EIGHT
u'9' # 0x39 -> DIGIT NINE
u':' # 0x3A -> COLON
u';' # 0x3B -> SEMICOLON
u'<' # 0x3C -> LESS-THAN SIGN
u'=' # 0x3D -> EQUALS SIGN
u'>' # 0x3E -> GREATER-THAN SIGN
u'?' # 0x3F -> QUESTION MARK
u'@' # 0x40 -> COMMERCIAL AT
u'A' # 0x41 -> LATIN CAPITAL LETTER A
u'B' # 0x42 -> LATIN CAPITAL LETTER B
u'C' # 0x43 -> LATIN CAPITAL LETTER C
u'D' # 0x44 -> LATIN CAPITAL LETTER D
u'E' # 0x45 -> LATIN CAPITAL LETTER E
u'F' # 0x46 -> LATIN CAPITAL LETTER F
u'G' # 0x47 -> LATIN CAPITAL LETTER G
u'H' # 0x48 -> LATIN CAPITAL LETTER H
u'I' # 0x49 -> LATIN CAPITAL LETTER I
u'J' # 0x4A -> LATIN CAPITAL LETTER J
u'K' # 0x4B -> LATIN CAPITAL LETTER K
u'L' # 0x4C -> LATIN CAPITAL LETTER L
u'M' # 0x4D -> LATIN CAPITAL LETTER M
u'N' # 0x4E -> LATIN CAPITAL LETTER N
u'O' # 0x4F -> LATIN CAPITAL LETTER O
u'P' # 0x50 -> LATIN CAPITAL LETTER P
u'Q' # 0x51 -> LATIN CAPITAL LETTER Q
u'R' # 0x52 -> LATIN CAPITAL LETTER R
u'S' # 0x53 -> LATIN CAPITAL LETTER S
u'T' # 0x54 -> LATIN CAPITAL LETTER T
u'U' # 0x55 -> LATIN CAPITAL LETTER U
u'V' # 0x56 -> LATIN CAPITAL LETTER V
u'W' # 0x57 -> LATIN CAPITAL LETTER W
u'X' # 0x58 -> LATIN CAPITAL LETTER X
u'Y' # 0x59 -> LATIN CAPITAL LETTER Y
u'Z' # 0x5A -> LATIN CAPITAL LETTER Z
u'[' # 0x5B -> LEFT SQUARE BRACKET
u'\\' # 0x5C -> REVERSE SOLIDUS
u']' # 0x5D -> RIGHT SQUARE BRACKET
u'^' # 0x5E -> CIRCUMFLEX ACCENT
u'_' # 0x5F -> LOW LINE
u'`' # 0x60 -> GRAVE ACCENT
u'a' # 0x61 -> LATIN SMALL LETTER A
u'b' # 0x62 -> LATIN SMALL LETTER B
u'c' # 0x63 -> LATIN SMALL LETTER C
u'd' # 0x64 -> LATIN SMALL LETTER D
u'e' # 0x65 -> LATIN SMALL LETTER E
u'f' # 0x66 -> LATIN SMALL LETTER F
u'g' # 0x67 -> LATIN SMALL LETTER G
u'h' # 0x68 -> LATIN SMALL LETTER H
u'i' # 0x69 -> LATIN SMALL LETTER I
u'j' # 0x6A -> LATIN SMALL LETTER J
u'k' # 0x6B -> LATIN SMALL LETTER K
u'l' # 0x6C -> LATIN SMALL LETTER L
u'm' # 0x6D -> LATIN SMALL LETTER M
u'n' # 0x6E -> LATIN SMALL LETTER N
u'o' # 0x6F -> LATIN SMALL LETTER O
u'p' # 0x70 -> LATIN SMALL LETTER P
u'q' # 0x71 -> LATIN SMALL LETTER Q
u'r' # 0x72 -> LATIN SMALL LETTER R
u's' # 0x73 -> LATIN SMALL LETTER S
u't' # 0x74 -> LATIN SMALL LETTER T
u'u' # 0x75 -> LATIN SMALL LETTER U
u'v' # 0x76 -> LATIN SMALL LETTER V
u'w' # 0x77 -> LATIN SMALL LETTER W
u'x' # 0x78 -> LATIN SMALL LETTER X
u'y' # 0x79 -> LATIN SMALL LETTER Y
u'z' # 0x7A -> LATIN SMALL LETTER Z
u'{' # 0x7B -> LEFT CURLY BRACKET
u'|' # 0x7C -> VERTICAL LINE
u'}' # 0x7D -> RIGHT CURLY BRACKET
u'~' # 0x7E -> TILDE
u'\x7f' # 0x7F -> DELETE
u'\u20ac' # 0x80 -> EURO SIGN
u'\ufffe' # 0x81 -> UNDEFINED
u'\u201a' # 0x82 -> SINGLE LOW-9 QUOTATION MARK
u'\ufffe' # 0x83 -> UNDEFINED
u'\u201e' # 0x84 -> DOUBLE LOW-9 QUOTATION MARK
u'\u2026' # 0x85 -> HORIZONTAL ELLIPSIS
u'\u2020' # 0x86 -> DAGGER
u'\u2021' # 0x87 -> DOUBLE DAGGER
u'\ufffe' # 0x88 -> UNDEFINED
u'\u2030' # 0x89 -> PER MILLE SIGN
u'\u0160' # 0x8A -> LATIN CAPITAL LETTER S WITH CARON
u'\u2039' # 0x8B -> SINGLE LEFT-POINTING ANGLE QUOTATION MARK
u'\u015a' # 0x8C -> LATIN CAPITAL LETTER S WITH ACUTE
u'\u0164' # 0x8D -> LATIN CAPITAL LETTER T WITH CARON
u'\u017d' # 0x8E -> LATIN CAPITAL LETTER Z WITH CARON
u'\u0179' # 0x8F -> LATIN CAPITAL LETTER Z WITH ACUTE
u'\ufffe' # 0x90 -> UNDEFINED
u'\u2018' # 0x91 -> LEFT SINGLE QUOTATION MARK
u'\u2019' # 0x92 -> RIGHT SINGLE QUOTATION MARK
u'\u201c' # 0x93 -> LEFT DOUBLE QUOTATION MARK
u'\u201d' # 0x94 -> RIGHT DOUBLE QUOTATION MARK
u'\u2022' # 0x95 -> BULLET
u'\u2013' # 0x96 -> EN DASH
u'\u2014' # 0x97 -> EM DASH
u'\ufffe' # 0x98 -> UNDEFINED
u'\u2122' # 0x99 -> TRADE MARK SIGN
u'\u0161' # 0x9A -> LATIN SMALL LETTER S WITH CARON
u'\u203a' # 0x9B -> SINGLE RIGHT-POINTING ANGLE QUOTATION MARK
u'\u015b' # 0x9C -> LATIN SMALL LETTER S WITH ACUTE
u'\u0165' # 0x9D -> LATIN SMALL LETTER T WITH CARON
u'\u017e' # 0x9E -> LATIN SMALL LETTER Z WITH CARON
u'\u017a' # 0x9F -> LATIN SMALL LETTER Z WITH ACUTE
u'\xa0' # 0xA0 -> NO-BREAK SPACE
u'\u02c7' # 0xA1 -> CARON
u'\u02d8' # 0xA2 -> BREVE
u'\u0141' # 0xA3 -> LATIN CAPITAL LETTER L WITH STROKE
u'\xa4' # 0xA4 -> CURRENCY SIGN
u'\u0104' # 0xA5 -> LATIN CAPITAL LETTER A WITH OGONEK
u'\xa6' # 0xA6 -> BROKEN BAR
u'\xa7' # 0xA7 -> SECTION SIGN
u'\xa8' # 0xA8 -> DIAERESIS
u'\xa9' # 0xA9 -> COPYRIGHT SIGN
u'\u015e' # 0xAA -> LATIN CAPITAL LETTER S WITH CEDILLA
u'\xab' # 0xAB -> LEFT-POINTING DOUBLE ANGLE QUOTATION MARK
u'\xac' # 0xAC -> NOT SIGN
u'\xad' # 0xAD -> SOFT HYPHEN
u'\xae' # 0xAE -> REGISTERED SIGN
u'\u017b' # 0xAF -> LATIN CAPITAL LETTER Z WITH DOT ABOVE
u'\xb0' # 0xB0 -> DEGREE SIGN
u'\xb1' # 0xB1 -> PLUS-MINUS SIGN
u'\u02db' # 0xB2 -> OGONEK
u'\u0142' # 0xB3 -> LATIN SMALL LETTER L WITH STROKE
u'\xb4' # 0xB4 -> ACUTE ACCENT
u'\xb5' # 0xB5 -> MICRO SIGN
u'\xb6' # 0xB6 -> PILCROW SIGN
u'\xb7' # 0xB7 -> MIDDLE DOT
u'\xb8' # 0xB8 -> CEDILLA
u'\u0105' # 0xB9 -> LATIN SMALL LETTER A WITH OGONEK
u'\u015f' # 0xBA -> LATIN SMALL LETTER S WITH CEDILLA
u'\xbb' # 0xBB -> RIGHT-POINTING DOUBLE ANGLE QUOTATION MARK
u'\u013d' # 0xBC -> LATIN CAPITAL LETTER L WITH CARON
u'\u02dd' # 0xBD -> DOUBLE ACUTE ACCENT
u'\u013e' # 0xBE -> LATIN SMALL LETTER L WITH CARON
u'\u017c' # 0xBF -> LATIN SMALL LETTER Z WITH DOT ABOVE
u'\u0154' # 0xC0 -> LATIN CAPITAL LETTER R WITH ACUTE
u'\xc1' # 0xC1 -> LATIN CAPITAL LETTER A WITH ACUTE
u'\xc2' # 0xC2 -> LATIN CAPITAL LETTER A WITH CIRCUMFLEX
u'\u0102' # 0xC3 -> LATIN CAPITAL LETTER A WITH BREVE
u'\xc4' # 0xC4 -> LATIN CAPITAL LETTER A WITH DIAERESIS
u'\u0139' # 0xC5 -> LATIN CAPITAL LETTER L WITH ACUTE
u'\u0106' # 0xC6 -> LATIN CAPITAL LETTER C WITH ACUTE
u'\xc7' # 0xC7 -> LATIN CAPITAL LETTER C WITH CEDILLA
u'\u010c' # 0xC8 -> LATIN CAPITAL LETTER C WITH CARON
u'\xc9' # 0xC9 -> LATIN CAPITAL LETTER E WITH ACUTE
u'\u0118' # 0xCA -> LATIN CAPITAL LETTER E WITH OGONEK
u'\xcb' # 0xCB -> LATIN CAPITAL LETTER E WITH DIAERESIS
u'\u011a' # 0xCC -> LATIN CAPITAL LETTER E WITH CARON
u'\xcd' # 0xCD -> LATIN CAPITAL LETTER I WITH ACUTE
u'\xce' # 0xCE -> LATIN CAPITAL LETTER I WITH CIRCUMFLEX
u'\u010e' # 0xCF -> LATIN CAPITAL LETTER D WITH CARON
u'\u0110' # 0xD0 -> LATIN CAPITAL LETTER D WITH STROKE
u'\u0143' # 0xD1 -> LATIN CAPITAL LETTER N WITH ACUTE
u'\u0147' # 0xD2 -> LATIN CAPITAL LETTER N WITH CARON
u'\xd3' # 0xD3 -> LATIN CAPITAL LETTER O WITH ACUTE
u'\xd4' # 0xD4 -> LATIN CAPITAL LETTER O WITH CIRCUMFLEX
u'\u0150' # 0xD5 -> LATIN CAPITAL LETTER O WITH DOUBLE ACUTE
u'\xd6' # 0xD6 -> LATIN CAPITAL LETTER O WITH DIAERESIS
u'\xd7' # 0xD7 -> MULTIPLICATION SIGN
u'\u0158' # 0xD8 -> LATIN CAPITAL LETTER R WITH CARON
u'\u016e' # 0xD9 -> LATIN CAPITAL LETTER U WITH RING ABOVE
u'\xda' # 0xDA -> LATIN CAPITAL LETTER U WITH ACUTE
u'\u0170' # 0xDB -> LATIN CAPITAL LETTER U WITH DOUBLE ACUTE
u'\xdc' # 0xDC -> LATIN CAPITAL LETTER U WITH DIAERESIS
u'\xdd' # 0xDD -> LATIN CAPITAL LETTER Y WITH ACUTE
u'\u0162' # 0xDE -> LATIN CAPITAL LETTER T WITH CEDILLA
u'\xdf' # 0xDF -> LATIN SMALL LETTER SHARP S
u'\u0155' # 0xE0 -> LATIN SMALL LETTER R WITH ACUTE
u'\xe1' # 0xE1 -> LATIN SMALL LETTER A WITH ACUTE
u'\xe2' # 0xE2 -> LATIN SMALL LETTER A WITH CIRCUMFLEX
u'\u0103' # 0xE3 -> LATIN SMALL LETTER A WITH BREVE
u'\xe4' # 0xE4 -> LATIN SMALL LETTER A WITH DIAERESIS
u'\u013a' # 0xE5 -> LATIN SMALL LETTER L WITH ACUTE
u'\u0107' # 0xE6 -> LATIN SMALL LETTER C WITH ACUTE
u'\xe7' # 0xE7 -> LATIN SMALL LETTER C WITH CEDILLA
u'\u010d' # 0xE8 -> LATIN SMALL LETTER C WITH CARON
u'\xe9' # 0xE9 -> LATIN SMALL LETTER E WITH ACUTE
u'\u0119' # 0xEA -> LATIN SMALL LETTER E WITH OGONEK
u'\xeb' # 0xEB -> LATIN SMALL LETTER E WITH DIAERESIS
u'\u011b' # 0xEC -> LATIN SMALL LETTER E WITH CARON
u'\xed' # 0xED -> LATIN SMALL LETTER I WITH ACUTE
u'\xee' # 0xEE -> LATIN SMALL LETTER I WITH CIRCUMFLEX
u'\u010f' # 0xEF -> LATIN SMALL LETTER D WITH CARON
u'\u0111' # 0xF0 -> LATIN SMALL LETTER D WITH STROKE
u'\u0144' # 0xF1 -> LATIN SMALL LETTER N WITH ACUTE
u'\u0148' # 0xF2 -> LATIN SMALL LETTER N WITH CARON
u'\xf3' # 0xF3 -> LATIN SMALL LETTER O WITH ACUTE
u'\xf4' # 0xF4 -> LATIN SMALL LETTER O WITH CIRCUMFLEX
u'\u0151' # 0xF5 -> LATIN SMALL LETTER O WITH DOUBLE ACUTE
u'\xf6' # 0xF6 -> LATIN SMALL LETTER O WITH DIAERESIS
u'\xf7' # 0xF7 -> DIVISION SIGN
u'\u0159' # 0xF8 -> LATIN SMALL LETTER R WITH CARON
u'\u016f' # 0xF9 -> LATIN SMALL LETTER U WITH RING ABOVE
u'\xfa' # 0xFA -> LATIN SMALL LETTER U WITH ACUTE
u'\u0171' # 0xFB -> LATIN SMALL LETTER U WITH DOUBLE ACUTE
u'\xfc' # 0xFC -> LATIN SMALL LETTER U WITH DIAERESIS
u'\xfd' # 0xFD -> LATIN SMALL LETTER Y WITH ACUTE
u'\u0163' # 0xFE -> LATIN SMALL LETTER T WITH CEDILLA
u'\u02d9' # 0xFF -> DOT ABOVE
)
### Encoding table
encoding_table=codecs.charmap_build(decoding_table)
| 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 <[email protected]>
# 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 = {'metadata_version': '1.1',
'status': ['preview'],
'supported_by': 'community'}
DOCUMENTATION = '''
---
module: kernel_blacklist
author:
- Matthias Vogelgesang (@matze)
version_added: '1.4'
short_description: Blacklist kernel modules
description:
- Add or remove kernel modules from blacklist.
options:
name:
description:
- Name of kernel module to black- or whitelist.
required: true
state:
description:
- Whether the module should be present in the blacklist or absent.
choices: [ absent, present ]
default: present
blacklist_file:
description:
- If specified, use this blacklist file instead of
C(/etc/modprobe.d/blacklist-ansible.conf).
'''
EXAMPLES = '''
- name: Blacklist the nouveau driver module
kernel_blacklist:
name: nouveau
state: present
'''
import os
import re
from ansible.module_utils.basic import AnsibleModule
class Blacklist(object):
def __init__(self, module, filename, checkmode):
self.filename = filename
self.module = module
self.checkmode = checkmode
def create_file(self):
if not self.checkmode and not os.path.exists(self.filename):
open(self.filename, 'a').close()
return True
elif self.checkmode and not os.path.exists(self.filename):
self.filename = os.devnull
return True
else:
return False
def get_pattern(self):
return r'^blacklist\s*' + self.module + '$'
def readlines(self):
f = open(self.filename, 'r')
lines = f.readlines()
f.close()
return lines
def module_listed(self):
lines = self.readlines()
pattern = self.get_pattern()
for line in lines:
stripped = line.strip()
if stripped.startswith('#'):
continue
if re.match(pattern, stripped):
return True
return False
def remove_module(self):
lines = self.readlines()
pattern = self.get_pattern()
if self.checkmode:
f = open(os.devnull, 'w')
else:
f = open(self.filename, 'w')
for line in lines:
if not re.match(pattern, line.strip()):
f.write(line)
f.close()
def add_module(self):
if self.checkmode:
f = open(os.devnull, 'a')
else:
f = open(self.filename, 'a')
f.write('blacklist %s\n' % self.module)
f.close()
def main():
module = AnsibleModule(
argument_spec=dict(
name=dict(type='str', required=True),
state=dict(type='str', default='present', choices=['absent', 'present']),
blacklist_file=dict(type='str')
),
supports_check_mode=True,
)
args = dict(changed=False, failed=False,
name=module.params['name'], state=module.params['state'])
filename = '/etc/modprobe.d/blacklist-ansible.conf'
if module.params['blacklist_file']:
filename = module.params['blacklist_file']
blacklist = Blacklist(args['name'], filename, module.check_mode)
if blacklist.create_file():
args['changed'] = True
else:
args['changed'] = False
if blacklist.module_listed():
if args['state'] == 'absent':
blacklist.remove_module()
args['changed'] = True
else:
if args['state'] == 'present':
blacklist.add_module()
args['changed'] = True
module.exit_json(**args)
if __name__ == '__main__':
main()
| 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 |
End of preview. Expand
in Dataset Viewer.
CodeParrot 🦜 Dataset Cleaned
What is it?
A dataset of Python files from Github. This is the deduplicated version of the codeparrot.
Processing
The original dataset contains a lot of duplicated and noisy data. Therefore, the dataset was cleaned with the following steps:
- Deduplication
- Remove exact matches
- Filtering
- Average line length < 100
- Maximum line length < 1000
- Alpha numeric characters fraction > 0.25
- Remove auto-generated files (keyword search)
For more details see the preprocessing script in the transformers repository here.
Splits
The dataset is split in a train and validation split used for training and evaluation.
Structure
This dataset has ~50GB of code and 5361373 files.
DatasetDict({
train: Dataset({
features: ['repo_name', 'path', 'copies', 'size', 'content', 'license', 'hash', 'line_mean', 'line_max', 'alpha_frac', 'autogenerated'],
num_rows: 5361373
})
})
- Downloads last month
- 4,252
Size of the auto-converted Parquet files (First 5GB):
1.81 GB
Number of rows (First 5GB):
477,028
Estimated number of rows:
5,170,318
Models trained or fine-tuned on codeparrot/codeparrot-clean
