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"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 <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 = {'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"
YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

CodeParrot Dataset

This is the train split of the 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.

See the full dataset for more information.

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