repo_name
stringlengths 5
100
| path
stringlengths 4
375
| copies
stringclasses 991
values | size
stringlengths 4
7
| content
stringlengths 666
1M
| license
stringclasses 15
values |
|---|---|---|---|---|---|
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
End of preview. Expand
in Dataset Viewer.
CodeParrot 🦜 Dataset
What is it?
This is the full CodeParrot dataset. It contains Python files used to train the code generation model in Chapter 10: Training Transformers from Scratch in the NLP with Transformers book. You can find the full code in the accompanying Github repository.
Creation
It was created with the GitHub dataset available via Google's BigQuery. It contains approximately 22 million Python files and is 180 GB (50 GB compressed) big. The SQL query to create the dataset is the following:
SELECT
f.repo_name, f.path, c.copies, c.size, c.content, l.license
FROM
`bigquery-public-data.github_repos.files` AS f
JOIN
`bigquery-public-data.github_repos.contents` AS c
ON
f.id = c.id
JOIN
`bigquery-public-data.github_repos.licenses` AS l
ON
f.repo_name = l.repo_name
WHERE
NOT c.binary
AND ((f.path LIKE '%.py')
AND (c.size BETWEEN 1024 AND 1048575))
Duplication
Note that about 70% of the dataset is duplicated. If you use the dataset make sure to deal with them appropriately. See codeparrot-clean for a deduplicated version of this dataset.
- Downloads last month
- 220