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(0x2F905, 'M', '涅'),
(0x2F906, 'M', '𣴞'),
(0x2F907, 'M', '洴'),
(0x2F908, 'M', '港'),
(0x2F909, 'M', '湮'),
(0x2F90A, 'M', '㴳'),
] | null |
1,584 | from typing import List, Tuple, Union
def _seg_79() -> List[Union[Tuple[int, str], Tuple[int, str, str]]]:
return [
(0x2F90B, 'M', '滋'),
(0x2F90C, 'M', '滇'),
(0x2F90D, 'M', '𣻑'),
(0x2F90E, 'M', '淹'),
(0x2F90F, 'M', '潮'),
(0x2F910, 'M', '𣽞'),
(0x2F911, 'M', '𣾎'),
(0x2F912, 'M', '濆'),
(0x2F913, 'M', '瀹'),
(0x2F914, 'M', '瀞'),
(0x2F915, 'M', '瀛'),
(0x2F916, 'M', '㶖'),
(0x2F917, 'M', '灊'),
(0x2F918, 'M', '災'),
(0x2F919, 'M', '灷'),
(0x2F91A, 'M', '炭'),
(0x2F91B, 'M', '𠔥'),
(0x2F91C, 'M', '煅'),
(0x2F91D, 'M', '𤉣'),
(0x2F91E, 'M', '熜'),
(0x2F91F, 'X'),
(0x2F920, 'M', '爨'),
(0x2F921, 'M', '爵'),
(0x2F922, 'M', '牐'),
(0x2F923, 'M', '𤘈'),
(0x2F924, 'M', '犀'),
(0x2F925, 'M', '犕'),
(0x2F926, 'M', '𤜵'),
(0x2F927, 'M', '𤠔'),
(0x2F928, 'M', '獺'),
(0x2F929, 'M', '王'),
(0x2F92A, 'M', '㺬'),
(0x2F92B, 'M', '玥'),
(0x2F92C, 'M', '㺸'),
(0x2F92E, 'M', '瑇'),
(0x2F92F, 'M', '瑜'),
(0x2F930, 'M', '瑱'),
(0x2F931, 'M', '璅'),
(0x2F932, 'M', '瓊'),
(0x2F933, 'M', '㼛'),
(0x2F934, 'M', '甤'),
(0x2F935, 'M', '𤰶'),
(0x2F936, 'M', '甾'),
(0x2F937, 'M', '𤲒'),
(0x2F938, 'M', '異'),
(0x2F939, 'M', '𢆟'),
(0x2F93A, 'M', '瘐'),
(0x2F93B, 'M', '𤾡'),
(0x2F93C, 'M', '𤾸'),
(0x2F93D, 'M', '𥁄'),
(0x2F93E, 'M', '㿼'),
(0x2F93F, 'M', '䀈'),
(0x2F940, 'M', '直'),
(0x2F941, 'M', '𥃳'),
(0x2F942, 'M', '𥃲'),
(0x2F943, 'M', '𥄙'),
(0x2F944, 'M', '𥄳'),
(0x2F945, 'M', '眞'),
(0x2F946, 'M', '真'),
(0x2F948, 'M', '睊'),
(0x2F949, 'M', '䀹'),
(0x2F94A, 'M', '瞋'),
(0x2F94B, 'M', '䁆'),
(0x2F94C, 'M', '䂖'),
(0x2F94D, 'M', '𥐝'),
(0x2F94E, 'M', '硎'),
(0x2F94F, 'M', '碌'),
(0x2F950, 'M', '磌'),
(0x2F951, 'M', '䃣'),
(0x2F952, 'M', '𥘦'),
(0x2F953, 'M', '祖'),
(0x2F954, 'M', '𥚚'),
(0x2F955, 'M', '𥛅'),
(0x2F956, 'M', '福'),
(0x2F957, 'M', '秫'),
(0x2F958, 'M', '䄯'),
(0x2F959, 'M', '穀'),
(0x2F95A, 'M', '穊'),
(0x2F95B, 'M', '穏'),
(0x2F95C, 'M', '𥥼'),
(0x2F95D, 'M', '𥪧'),
(0x2F95F, 'X'),
(0x2F960, 'M', '䈂'),
(0x2F961, 'M', '𥮫'),
(0x2F962, 'M', '篆'),
(0x2F963, 'M', '築'),
(0x2F964, 'M', '䈧'),
(0x2F965, 'M', '𥲀'),
(0x2F966, 'M', '糒'),
(0x2F967, 'M', '䊠'),
(0x2F968, 'M', '糨'),
(0x2F969, 'M', '糣'),
(0x2F96A, 'M', '紀'),
(0x2F96B, 'M', '𥾆'),
(0x2F96C, 'M', '絣'),
(0x2F96D, 'M', '䌁'),
(0x2F96E, 'M', '緇'),
(0x2F96F, 'M', '縂'),
(0x2F970, 'M', '繅'),
(0x2F971, 'M', '䌴'),
] | null |
1,585 | from typing import List, Tuple, Union
def _seg_80() -> List[Union[Tuple[int, str], Tuple[int, str, str]]]:
return [
(0x2F972, 'M', '𦈨'),
(0x2F973, 'M', '𦉇'),
(0x2F974, 'M', '䍙'),
(0x2F975, 'M', '𦋙'),
(0x2F976, 'M', '罺'),
(0x2F977, 'M', '𦌾'),
(0x2F978, 'M', '羕'),
(0x2F979, 'M', '翺'),
(0x2F97A, 'M', '者'),
(0x2F97B, 'M', '𦓚'),
(0x2F97C, 'M', '𦔣'),
(0x2F97D, 'M', '聠'),
(0x2F97E, 'M', '𦖨'),
(0x2F97F, 'M', '聰'),
(0x2F980, 'M', '𣍟'),
(0x2F981, 'M', '䏕'),
(0x2F982, 'M', '育'),
(0x2F983, 'M', '脃'),
(0x2F984, 'M', '䐋'),
(0x2F985, 'M', '脾'),
(0x2F986, 'M', '媵'),
(0x2F987, 'M', '𦞧'),
(0x2F988, 'M', '𦞵'),
(0x2F989, 'M', '𣎓'),
(0x2F98A, 'M', '𣎜'),
(0x2F98B, 'M', '舁'),
(0x2F98C, 'M', '舄'),
(0x2F98D, 'M', '辞'),
(0x2F98E, 'M', '䑫'),
(0x2F98F, 'M', '芑'),
(0x2F990, 'M', '芋'),
(0x2F991, 'M', '芝'),
(0x2F992, 'M', '劳'),
(0x2F993, 'M', '花'),
(0x2F994, 'M', '芳'),
(0x2F995, 'M', '芽'),
(0x2F996, 'M', '苦'),
(0x2F997, 'M', '𦬼'),
(0x2F998, 'M', '若'),
(0x2F999, 'M', '茝'),
(0x2F99A, 'M', '荣'),
(0x2F99B, 'M', '莭'),
(0x2F99C, 'M', '茣'),
(0x2F99D, 'M', '莽'),
(0x2F99E, 'M', '菧'),
(0x2F99F, 'M', '著'),
(0x2F9A0, 'M', '荓'),
(0x2F9A1, 'M', '菊'),
(0x2F9A2, 'M', '菌'),
(0x2F9A3, 'M', '菜'),
(0x2F9A4, 'M', '𦰶'),
(0x2F9A5, 'M', '𦵫'),
(0x2F9A6, 'M', '𦳕'),
(0x2F9A7, 'M', '䔫'),
(0x2F9A8, 'M', '蓱'),
(0x2F9A9, 'M', '蓳'),
(0x2F9AA, 'M', '蔖'),
(0x2F9AB, 'M', '𧏊'),
(0x2F9AC, 'M', '蕤'),
(0x2F9AD, 'M', '𦼬'),
(0x2F9AE, 'M', '䕝'),
(0x2F9AF, 'M', '䕡'),
(0x2F9B0, 'M', '𦾱'),
(0x2F9B1, 'M', '𧃒'),
(0x2F9B2, 'M', '䕫'),
(0x2F9B3, 'M', '虐'),
(0x2F9B4, 'M', '虜'),
(0x2F9B5, 'M', '虧'),
(0x2F9B6, 'M', '虩'),
(0x2F9B7, 'M', '蚩'),
(0x2F9B8, 'M', '蚈'),
(0x2F9B9, 'M', '蜎'),
(0x2F9BA, 'M', '蛢'),
(0x2F9BB, 'M', '蝹'),
(0x2F9BC, 'M', '蜨'),
(0x2F9BD, 'M', '蝫'),
(0x2F9BE, 'M', '螆'),
(0x2F9BF, 'X'),
(0x2F9C0, 'M', '蟡'),
(0x2F9C1, 'M', '蠁'),
(0x2F9C2, 'M', '䗹'),
(0x2F9C3, 'M', '衠'),
(0x2F9C4, 'M', '衣'),
(0x2F9C5, 'M', '𧙧'),
(0x2F9C6, 'M', '裗'),
(0x2F9C7, 'M', '裞'),
(0x2F9C8, 'M', '䘵'),
(0x2F9C9, 'M', '裺'),
(0x2F9CA, 'M', '㒻'),
(0x2F9CB, 'M', '𧢮'),
(0x2F9CC, 'M', '𧥦'),
(0x2F9CD, 'M', '䚾'),
(0x2F9CE, 'M', '䛇'),
(0x2F9CF, 'M', '誠'),
(0x2F9D0, 'M', '諭'),
(0x2F9D1, 'M', '變'),
(0x2F9D2, 'M', '豕'),
(0x2F9D3, 'M', '𧲨'),
(0x2F9D4, 'M', '貫'),
(0x2F9D5, 'M', '賁'),
] | null |
1,586 | from typing import List, Tuple, Union
def _seg_81() -> List[Union[Tuple[int, str], Tuple[int, str, str]]]:
return [
(0x2F9D6, 'M', '贛'),
(0x2F9D7, 'M', '起'),
(0x2F9D8, 'M', '𧼯'),
(0x2F9D9, 'M', '𠠄'),
(0x2F9DA, 'M', '跋'),
(0x2F9DB, 'M', '趼'),
(0x2F9DC, 'M', '跰'),
(0x2F9DD, 'M', '𠣞'),
(0x2F9DE, 'M', '軔'),
(0x2F9DF, 'M', '輸'),
(0x2F9E0, 'M', '𨗒'),
(0x2F9E1, 'M', '𨗭'),
(0x2F9E2, 'M', '邔'),
(0x2F9E3, 'M', '郱'),
(0x2F9E4, 'M', '鄑'),
(0x2F9E5, 'M', '𨜮'),
(0x2F9E6, 'M', '鄛'),
(0x2F9E7, 'M', '鈸'),
(0x2F9E8, 'M', '鋗'),
(0x2F9E9, 'M', '鋘'),
(0x2F9EA, 'M', '鉼'),
(0x2F9EB, 'M', '鏹'),
(0x2F9EC, 'M', '鐕'),
(0x2F9ED, 'M', '𨯺'),
(0x2F9EE, 'M', '開'),
(0x2F9EF, 'M', '䦕'),
(0x2F9F0, 'M', '閷'),
(0x2F9F1, 'M', '𨵷'),
(0x2F9F2, 'M', '䧦'),
(0x2F9F3, 'M', '雃'),
(0x2F9F4, 'M', '嶲'),
(0x2F9F5, 'M', '霣'),
(0x2F9F6, 'M', '𩅅'),
(0x2F9F7, 'M', '𩈚'),
(0x2F9F8, 'M', '䩮'),
(0x2F9F9, 'M', '䩶'),
(0x2F9FA, 'M', '韠'),
(0x2F9FB, 'M', '𩐊'),
(0x2F9FC, 'M', '䪲'),
(0x2F9FD, 'M', '𩒖'),
(0x2F9FE, 'M', '頋'),
(0x2FA00, 'M', '頩'),
(0x2FA01, 'M', '𩖶'),
(0x2FA02, 'M', '飢'),
(0x2FA03, 'M', '䬳'),
(0x2FA04, 'M', '餩'),
(0x2FA05, 'M', '馧'),
(0x2FA06, 'M', '駂'),
(0x2FA07, 'M', '駾'),
(0x2FA08, 'M', '䯎'),
(0x2FA09, 'M', '𩬰'),
(0x2FA0A, 'M', '鬒'),
(0x2FA0B, 'M', '鱀'),
(0x2FA0C, 'M', '鳽'),
(0x2FA0D, 'M', '䳎'),
(0x2FA0E, 'M', '䳭'),
(0x2FA0F, 'M', '鵧'),
(0x2FA10, 'M', '𪃎'),
(0x2FA11, 'M', '䳸'),
(0x2FA12, 'M', '𪄅'),
(0x2FA13, 'M', '𪈎'),
(0x2FA14, 'M', '𪊑'),
(0x2FA15, 'M', '麻'),
(0x2FA16, 'M', '䵖'),
(0x2FA17, 'M', '黹'),
(0x2FA18, 'M', '黾'),
(0x2FA19, 'M', '鼅'),
(0x2FA1A, 'M', '鼏'),
(0x2FA1B, 'M', '鼖'),
(0x2FA1C, 'M', '鼻'),
(0x2FA1D, 'M', '𪘀'),
(0x2FA1E, 'X'),
(0x30000, 'V'),
(0x3134B, 'X'),
(0x31350, 'V'),
(0x323B0, 'X'),
(0xE0100, 'I'),
(0xE01F0, 'X'),
] | null |
1,587 | from .core import encode, decode, alabel, ulabel, IDNAError
import codecs
import re
from typing import Tuple, Optional
class Codec(codecs.Codec):
def encode(self, data: str, errors: str = 'strict') -> Tuple[bytes, int]:
if errors != 'strict':
raise IDNAError('Unsupported error handling \"{}\"'.format(errors))
if not data:
return b"", 0
return encode(data), len(data)
def decode(self, data: bytes, errors: str = 'strict') -> Tuple[str, int]:
if errors != 'strict':
raise IDNAError('Unsupported error handling \"{}\"'.format(errors))
if not data:
return '', 0
return decode(data), len(data)
class IncrementalEncoder(codecs.BufferedIncrementalEncoder):
def _buffer_encode(self, data: str, errors: str, final: bool) -> Tuple[str, int]: # type: ignore
if errors != 'strict':
raise IDNAError('Unsupported error handling \"{}\"'.format(errors))
if not data:
return "", 0
labels = _unicode_dots_re.split(data)
trailing_dot = ''
if labels:
if not labels[-1]:
trailing_dot = '.'
del labels[-1]
elif not final:
# Keep potentially unfinished label until the next call
del labels[-1]
if labels:
trailing_dot = '.'
result = []
size = 0
for label in labels:
result.append(alabel(label))
if size:
size += 1
size += len(label)
# Join with U+002E
result_str = '.'.join(result) + trailing_dot # type: ignore
size += len(trailing_dot)
return result_str, size
class IncrementalDecoder(codecs.BufferedIncrementalDecoder):
def _buffer_decode(self, data: str, errors: str, final: bool) -> Tuple[str, int]: # type: ignore
if errors != 'strict':
raise IDNAError('Unsupported error handling \"{}\"'.format(errors))
if not data:
return ('', 0)
labels = _unicode_dots_re.split(data)
trailing_dot = ''
if labels:
if not labels[-1]:
trailing_dot = '.'
del labels[-1]
elif not final:
# Keep potentially unfinished label until the next call
del labels[-1]
if labels:
trailing_dot = '.'
result = []
size = 0
for label in labels:
result.append(ulabel(label))
if size:
size += 1
size += len(label)
result_str = '.'.join(result) + trailing_dot
size += len(trailing_dot)
return (result_str, size)
class StreamWriter(Codec, codecs.StreamWriter):
pass
class StreamReader(Codec, codecs.StreamReader):
pass
def encode(s: Union[str, bytes, bytearray], strict: bool = False, uts46: bool = False, std3_rules: bool = False, transitional: bool = False) -> bytes:
if isinstance(s, (bytes, bytearray)):
try:
s = s.decode('ascii')
except UnicodeDecodeError:
raise IDNAError('should pass a unicode string to the function rather than a byte string.')
if uts46:
s = uts46_remap(s, std3_rules, transitional)
trailing_dot = False
result = []
if strict:
labels = s.split('.')
else:
labels = _unicode_dots_re.split(s)
if not labels or labels == ['']:
raise IDNAError('Empty domain')
if labels[-1] == '':
del labels[-1]
trailing_dot = True
for label in labels:
s = alabel(label)
if s:
result.append(s)
else:
raise IDNAError('Empty label')
if trailing_dot:
result.append(b'')
s = b'.'.join(result)
if not valid_string_length(s, trailing_dot):
raise IDNAError('Domain too long')
return s
def decode(s: Union[str, bytes, bytearray], strict: bool = False, uts46: bool = False, std3_rules: bool = False) -> str:
try:
if isinstance(s, (bytes, bytearray)):
s = s.decode('ascii')
except UnicodeDecodeError:
raise IDNAError('Invalid ASCII in A-label')
if uts46:
s = uts46_remap(s, std3_rules, False)
trailing_dot = False
result = []
if not strict:
labels = _unicode_dots_re.split(s)
else:
labels = s.split('.')
if not labels or labels == ['']:
raise IDNAError('Empty domain')
if not labels[-1]:
del labels[-1]
trailing_dot = True
for label in labels:
s = ulabel(label)
if s:
result.append(s)
else:
raise IDNAError('Empty label')
if trailing_dot:
result.append('')
return '.'.join(result)
def getregentry() -> codecs.CodecInfo:
# Compatibility as a search_function for codecs.register()
return codecs.CodecInfo(
name='idna',
encode=Codec().encode, # type: ignore
decode=Codec().decode, # type: ignore
incrementalencoder=IncrementalEncoder,
incrementaldecoder=IncrementalDecoder,
streamwriter=StreamWriter,
streamreader=StreamReader,
) | null |
1,588 | import bisect
from typing import List, Tuple
def _encode_range(start: int, end: int) -> int:
return (start << 32) | end
The provided code snippet includes necessary dependencies for implementing the `intranges_from_list` function. Write a Python function `def intranges_from_list(list_: List[int]) -> Tuple[int, ...]` to solve the following problem:
Represent a list of integers as a sequence of ranges: ((start_0, end_0), (start_1, end_1), ...), such that the original integers are exactly those x such that start_i <= x < end_i for some i. Ranges are encoded as single integers (start << 32 | end), not as tuples.
Here is the function:
def intranges_from_list(list_: List[int]) -> Tuple[int, ...]:
"""Represent a list of integers as a sequence of ranges:
((start_0, end_0), (start_1, end_1), ...), such that the original
integers are exactly those x such that start_i <= x < end_i for some i.
Ranges are encoded as single integers (start << 32 | end), not as tuples.
"""
sorted_list = sorted(list_)
ranges = []
last_write = -1
for i in range(len(sorted_list)):
if i+1 < len(sorted_list):
if sorted_list[i] == sorted_list[i+1]-1:
continue
current_range = sorted_list[last_write+1:i+1]
ranges.append(_encode_range(current_range[0], current_range[-1] + 1))
last_write = i
return tuple(ranges) | Represent a list of integers as a sequence of ranges: ((start_0, end_0), (start_1, end_1), ...), such that the original integers are exactly those x such that start_i <= x < end_i for some i. Ranges are encoded as single integers (start << 32 | end), not as tuples. |
1,589 | from .core import *
from .codec import *
from typing import Any, Union
def encode(s: Union[str, bytes, bytearray], strict: bool = False, uts46: bool = False, std3_rules: bool = False, transitional: bool = False) -> bytes:
if isinstance(s, (bytes, bytearray)):
try:
s = s.decode('ascii')
except UnicodeDecodeError:
raise IDNAError('should pass a unicode string to the function rather than a byte string.')
if uts46:
s = uts46_remap(s, std3_rules, transitional)
trailing_dot = False
result = []
if strict:
labels = s.split('.')
else:
labels = _unicode_dots_re.split(s)
if not labels or labels == ['']:
raise IDNAError('Empty domain')
if labels[-1] == '':
del labels[-1]
trailing_dot = True
for label in labels:
s = alabel(label)
if s:
result.append(s)
else:
raise IDNAError('Empty label')
if trailing_dot:
result.append(b'')
s = b'.'.join(result)
if not valid_string_length(s, trailing_dot):
raise IDNAError('Domain too long')
return s
def ToASCII(label: str) -> bytes:
return encode(label) | null |
1,590 | from .core import *
from .codec import *
from typing import Any, Union
def decode(s: Union[str, bytes, bytearray], strict: bool = False, uts46: bool = False, std3_rules: bool = False) -> str:
def ToUnicode(label: Union[bytes, bytearray]) -> str:
return decode(label) | null |
1,591 | from .core import *
from .codec import *
from typing import Any, Union
def nameprep(s: Any) -> None:
raise NotImplementedError('IDNA 2008 does not utilise nameprep protocol') | null |
1,592 | from typing import Any, Dict, Optional, Union
from warnings import warn
from .api import from_bytes
from .constant import CHARDET_CORRESPONDENCE
def from_bytes(
sequences: bytes,
steps: int = 5,
chunk_size: int = 512,
threshold: float = 0.2,
cp_isolation: Optional[List[str]] = None,
cp_exclusion: Optional[List[str]] = None,
preemptive_behaviour: bool = True,
explain: bool = False,
language_threshold: float = 0.1,
) -> CharsetMatches:
"""
Given a raw bytes sequence, return the best possibles charset usable to render str objects.
If there is no results, it is a strong indicator that the source is binary/not text.
By default, the process will extract 5 blocks of 512o each to assess the mess and coherence of a given sequence.
And will give up a particular code page after 20% of measured mess. Those criteria are customizable at will.
The preemptive behavior DOES NOT replace the traditional detection workflow, it prioritize a particular code page
but never take it for granted. Can improve the performance.
You may want to focus your attention to some code page or/and not others, use cp_isolation and cp_exclusion for that
purpose.
This function will strip the SIG in the payload/sequence every time except on UTF-16, UTF-32.
By default the library does not setup any handler other than the NullHandler, if you choose to set the 'explain'
toggle to True it will alter the logger configuration to add a StreamHandler that is suitable for debugging.
Custom logging format and handler can be set manually.
"""
if not isinstance(sequences, (bytearray, bytes)):
raise TypeError(
"Expected object of type bytes or bytearray, got: {0}".format(
type(sequences)
)
)
if explain:
previous_logger_level: int = logger.level
logger.addHandler(explain_handler)
logger.setLevel(TRACE)
length: int = len(sequences)
if length == 0:
logger.debug("Encoding detection on empty bytes, assuming utf_8 intention.")
if explain:
logger.removeHandler(explain_handler)
logger.setLevel(previous_logger_level or logging.WARNING)
return CharsetMatches([CharsetMatch(sequences, "utf_8", 0.0, False, [], "")])
if cp_isolation is not None:
logger.log(
TRACE,
"cp_isolation is set. use this flag for debugging purpose. "
"limited list of encoding allowed : %s.",
", ".join(cp_isolation),
)
cp_isolation = [iana_name(cp, False) for cp in cp_isolation]
else:
cp_isolation = []
if cp_exclusion is not None:
logger.log(
TRACE,
"cp_exclusion is set. use this flag for debugging purpose. "
"limited list of encoding excluded : %s.",
", ".join(cp_exclusion),
)
cp_exclusion = [iana_name(cp, False) for cp in cp_exclusion]
else:
cp_exclusion = []
if length <= (chunk_size * steps):
logger.log(
TRACE,
"override steps (%i) and chunk_size (%i) as content does not fit (%i byte(s) given) parameters.",
steps,
chunk_size,
length,
)
steps = 1
chunk_size = length
if steps > 1 and length / steps < chunk_size:
chunk_size = int(length / steps)
is_too_small_sequence: bool = len(sequences) < TOO_SMALL_SEQUENCE
is_too_large_sequence: bool = len(sequences) >= TOO_BIG_SEQUENCE
if is_too_small_sequence:
logger.log(
TRACE,
"Trying to detect encoding from a tiny portion of ({}) byte(s).".format(
length
),
)
elif is_too_large_sequence:
logger.log(
TRACE,
"Using lazy str decoding because the payload is quite large, ({}) byte(s).".format(
length
),
)
prioritized_encodings: List[str] = []
specified_encoding: Optional[str] = (
any_specified_encoding(sequences) if preemptive_behaviour else None
)
if specified_encoding is not None:
prioritized_encodings.append(specified_encoding)
logger.log(
TRACE,
"Detected declarative mark in sequence. Priority +1 given for %s.",
specified_encoding,
)
tested: Set[str] = set()
tested_but_hard_failure: List[str] = []
tested_but_soft_failure: List[str] = []
fallback_ascii: Optional[CharsetMatch] = None
fallback_u8: Optional[CharsetMatch] = None
fallback_specified: Optional[CharsetMatch] = None
results: CharsetMatches = CharsetMatches()
sig_encoding, sig_payload = identify_sig_or_bom(sequences)
if sig_encoding is not None:
prioritized_encodings.append(sig_encoding)
logger.log(
TRACE,
"Detected a SIG or BOM mark on first %i byte(s). Priority +1 given for %s.",
len(sig_payload),
sig_encoding,
)
prioritized_encodings.append("ascii")
if "utf_8" not in prioritized_encodings:
prioritized_encodings.append("utf_8")
for encoding_iana in prioritized_encodings + IANA_SUPPORTED:
if cp_isolation and encoding_iana not in cp_isolation:
continue
if cp_exclusion and encoding_iana in cp_exclusion:
continue
if encoding_iana in tested:
continue
tested.add(encoding_iana)
decoded_payload: Optional[str] = None
bom_or_sig_available: bool = sig_encoding == encoding_iana
strip_sig_or_bom: bool = bom_or_sig_available and should_strip_sig_or_bom(
encoding_iana
)
if encoding_iana in {"utf_16", "utf_32"} and not bom_or_sig_available:
logger.log(
TRACE,
"Encoding %s won't be tested as-is because it require a BOM. Will try some sub-encoder LE/BE.",
encoding_iana,
)
continue
if encoding_iana in {"utf_7"} and not bom_or_sig_available:
logger.log(
TRACE,
"Encoding %s won't be tested as-is because detection is unreliable without BOM/SIG.",
encoding_iana,
)
continue
try:
is_multi_byte_decoder: bool = is_multi_byte_encoding(encoding_iana)
except (ModuleNotFoundError, ImportError):
logger.log(
TRACE,
"Encoding %s does not provide an IncrementalDecoder",
encoding_iana,
)
continue
try:
if is_too_large_sequence and is_multi_byte_decoder is False:
str(
sequences[: int(50e4)]
if strip_sig_or_bom is False
else sequences[len(sig_payload) : int(50e4)],
encoding=encoding_iana,
)
else:
decoded_payload = str(
sequences
if strip_sig_or_bom is False
else sequences[len(sig_payload) :],
encoding=encoding_iana,
)
except (UnicodeDecodeError, LookupError) as e:
if not isinstance(e, LookupError):
logger.log(
TRACE,
"Code page %s does not fit given bytes sequence at ALL. %s",
encoding_iana,
str(e),
)
tested_but_hard_failure.append(encoding_iana)
continue
similar_soft_failure_test: bool = False
for encoding_soft_failed in tested_but_soft_failure:
if is_cp_similar(encoding_iana, encoding_soft_failed):
similar_soft_failure_test = True
break
if similar_soft_failure_test:
logger.log(
TRACE,
"%s is deemed too similar to code page %s and was consider unsuited already. Continuing!",
encoding_iana,
encoding_soft_failed,
)
continue
r_ = range(
0 if not bom_or_sig_available else len(sig_payload),
length,
int(length / steps),
)
multi_byte_bonus: bool = (
is_multi_byte_decoder
and decoded_payload is not None
and len(decoded_payload) < length
)
if multi_byte_bonus:
logger.log(
TRACE,
"Code page %s is a multi byte encoding table and it appear that at least one character "
"was encoded using n-bytes.",
encoding_iana,
)
max_chunk_gave_up: int = int(len(r_) / 4)
max_chunk_gave_up = max(max_chunk_gave_up, 2)
early_stop_count: int = 0
lazy_str_hard_failure = False
md_chunks: List[str] = []
md_ratios = []
try:
for chunk in cut_sequence_chunks(
sequences,
encoding_iana,
r_,
chunk_size,
bom_or_sig_available,
strip_sig_or_bom,
sig_payload,
is_multi_byte_decoder,
decoded_payload,
):
md_chunks.append(chunk)
md_ratios.append(
mess_ratio(
chunk,
threshold,
explain is True and 1 <= len(cp_isolation) <= 2,
)
)
if md_ratios[-1] >= threshold:
early_stop_count += 1
if (early_stop_count >= max_chunk_gave_up) or (
bom_or_sig_available and strip_sig_or_bom is False
):
break
except (
UnicodeDecodeError
) as e: # Lazy str loading may have missed something there
logger.log(
TRACE,
"LazyStr Loading: After MD chunk decode, code page %s does not fit given bytes sequence at ALL. %s",
encoding_iana,
str(e),
)
early_stop_count = max_chunk_gave_up
lazy_str_hard_failure = True
# We might want to check the sequence again with the whole content
# Only if initial MD tests passes
if (
not lazy_str_hard_failure
and is_too_large_sequence
and not is_multi_byte_decoder
):
try:
sequences[int(50e3) :].decode(encoding_iana, errors="strict")
except UnicodeDecodeError as e:
logger.log(
TRACE,
"LazyStr Loading: After final lookup, code page %s does not fit given bytes sequence at ALL. %s",
encoding_iana,
str(e),
)
tested_but_hard_failure.append(encoding_iana)
continue
mean_mess_ratio: float = sum(md_ratios) / len(md_ratios) if md_ratios else 0.0
if mean_mess_ratio >= threshold or early_stop_count >= max_chunk_gave_up:
tested_but_soft_failure.append(encoding_iana)
logger.log(
TRACE,
"%s was excluded because of initial chaos probing. Gave up %i time(s). "
"Computed mean chaos is %f %%.",
encoding_iana,
early_stop_count,
round(mean_mess_ratio * 100, ndigits=3),
)
# Preparing those fallbacks in case we got nothing.
if (
encoding_iana in ["ascii", "utf_8", specified_encoding]
and not lazy_str_hard_failure
):
fallback_entry = CharsetMatch(
sequences, encoding_iana, threshold, False, [], decoded_payload
)
if encoding_iana == specified_encoding:
fallback_specified = fallback_entry
elif encoding_iana == "ascii":
fallback_ascii = fallback_entry
else:
fallback_u8 = fallback_entry
continue
logger.log(
TRACE,
"%s passed initial chaos probing. Mean measured chaos is %f %%",
encoding_iana,
round(mean_mess_ratio * 100, ndigits=3),
)
if not is_multi_byte_decoder:
target_languages: List[str] = encoding_languages(encoding_iana)
else:
target_languages = mb_encoding_languages(encoding_iana)
if target_languages:
logger.log(
TRACE,
"{} should target any language(s) of {}".format(
encoding_iana, str(target_languages)
),
)
cd_ratios = []
# We shall skip the CD when its about ASCII
# Most of the time its not relevant to run "language-detection" on it.
if encoding_iana != "ascii":
for chunk in md_chunks:
chunk_languages = coherence_ratio(
chunk,
language_threshold,
",".join(target_languages) if target_languages else None,
)
cd_ratios.append(chunk_languages)
cd_ratios_merged = merge_coherence_ratios(cd_ratios)
if cd_ratios_merged:
logger.log(
TRACE,
"We detected language {} using {}".format(
cd_ratios_merged, encoding_iana
),
)
results.append(
CharsetMatch(
sequences,
encoding_iana,
mean_mess_ratio,
bom_or_sig_available,
cd_ratios_merged,
decoded_payload,
)
)
if (
encoding_iana in [specified_encoding, "ascii", "utf_8"]
and mean_mess_ratio < 0.1
):
logger.debug(
"Encoding detection: %s is most likely the one.", encoding_iana
)
if explain:
logger.removeHandler(explain_handler)
logger.setLevel(previous_logger_level)
return CharsetMatches([results[encoding_iana]])
if encoding_iana == sig_encoding:
logger.debug(
"Encoding detection: %s is most likely the one as we detected a BOM or SIG within "
"the beginning of the sequence.",
encoding_iana,
)
if explain:
logger.removeHandler(explain_handler)
logger.setLevel(previous_logger_level)
return CharsetMatches([results[encoding_iana]])
if len(results) == 0:
if fallback_u8 or fallback_ascii or fallback_specified:
logger.log(
TRACE,
"Nothing got out of the detection process. Using ASCII/UTF-8/Specified fallback.",
)
if fallback_specified:
logger.debug(
"Encoding detection: %s will be used as a fallback match",
fallback_specified.encoding,
)
results.append(fallback_specified)
elif (
(fallback_u8 and fallback_ascii is None)
or (
fallback_u8
and fallback_ascii
and fallback_u8.fingerprint != fallback_ascii.fingerprint
)
or (fallback_u8 is not None)
):
logger.debug("Encoding detection: utf_8 will be used as a fallback match")
results.append(fallback_u8)
elif fallback_ascii:
logger.debug("Encoding detection: ascii will be used as a fallback match")
results.append(fallback_ascii)
if results:
logger.debug(
"Encoding detection: Found %s as plausible (best-candidate) for content. With %i alternatives.",
results.best().encoding, # type: ignore
len(results) - 1,
)
else:
logger.debug("Encoding detection: Unable to determine any suitable charset.")
if explain:
logger.removeHandler(explain_handler)
logger.setLevel(previous_logger_level)
return results
CHARDET_CORRESPONDENCE: Dict[str, str] = {
"iso2022_kr": "ISO-2022-KR",
"iso2022_jp": "ISO-2022-JP",
"euc_kr": "EUC-KR",
"tis_620": "TIS-620",
"utf_32": "UTF-32",
"euc_jp": "EUC-JP",
"koi8_r": "KOI8-R",
"iso8859_1": "ISO-8859-1",
"iso8859_2": "ISO-8859-2",
"iso8859_5": "ISO-8859-5",
"iso8859_6": "ISO-8859-6",
"iso8859_7": "ISO-8859-7",
"iso8859_8": "ISO-8859-8",
"utf_16": "UTF-16",
"cp855": "IBM855",
"mac_cyrillic": "MacCyrillic",
"gb2312": "GB2312",
"gb18030": "GB18030",
"cp932": "CP932",
"cp866": "IBM866",
"utf_8": "utf-8",
"utf_8_sig": "UTF-8-SIG",
"shift_jis": "SHIFT_JIS",
"big5": "Big5",
"cp1250": "windows-1250",
"cp1251": "windows-1251",
"cp1252": "Windows-1252",
"cp1253": "windows-1253",
"cp1255": "windows-1255",
"cp1256": "windows-1256",
"cp1254": "Windows-1254",
"cp949": "CP949",
}
The provided code snippet includes necessary dependencies for implementing the `detect` function. Write a Python function `def detect( byte_str: bytes, should_rename_legacy: bool = False, **kwargs: Any ) -> Dict[str, Optional[Union[str, float]]]` to solve the following problem:
chardet legacy method Detect the encoding of the given byte string. It should be mostly backward-compatible. Encoding name will match Chardet own writing whenever possible. (Not on encoding name unsupported by it) This function is deprecated and should be used to migrate your project easily, consult the documentation for further information. Not planned for removal. :param byte_str: The byte sequence to examine. :param should_rename_legacy: Should we rename legacy encodings to their more modern equivalents?
Here is the function:
def detect(
byte_str: bytes, should_rename_legacy: bool = False, **kwargs: Any
) -> Dict[str, Optional[Union[str, float]]]:
"""
chardet legacy method
Detect the encoding of the given byte string. It should be mostly backward-compatible.
Encoding name will match Chardet own writing whenever possible. (Not on encoding name unsupported by it)
This function is deprecated and should be used to migrate your project easily, consult the documentation for
further information. Not planned for removal.
:param byte_str: The byte sequence to examine.
:param should_rename_legacy: Should we rename legacy encodings
to their more modern equivalents?
"""
if len(kwargs):
warn(
f"charset-normalizer disregard arguments '{','.join(list(kwargs.keys()))}' in legacy function detect()"
)
if not isinstance(byte_str, (bytearray, bytes)):
raise TypeError( # pragma: nocover
"Expected object of type bytes or bytearray, got: "
"{0}".format(type(byte_str))
)
if isinstance(byte_str, bytearray):
byte_str = bytes(byte_str)
r = from_bytes(byte_str).best()
encoding = r.encoding if r is not None else None
language = r.language if r is not None and r.language != "Unknown" else ""
confidence = 1.0 - r.chaos if r is not None else None
# Note: CharsetNormalizer does not return 'UTF-8-SIG' as the sig get stripped in the detection/normalization process
# but chardet does return 'utf-8-sig' and it is a valid codec name.
if r is not None and encoding == "utf_8" and r.bom:
encoding += "_sig"
if should_rename_legacy is False and encoding in CHARDET_CORRESPONDENCE:
encoding = CHARDET_CORRESPONDENCE[encoding]
return {
"encoding": encoding,
"language": language,
"confidence": confidence,
} | chardet legacy method Detect the encoding of the given byte string. It should be mostly backward-compatible. Encoding name will match Chardet own writing whenever possible. (Not on encoding name unsupported by it) This function is deprecated and should be used to migrate your project easily, consult the documentation for further information. Not planned for removal. :param byte_str: The byte sequence to examine. :param should_rename_legacy: Should we rename legacy encodings to their more modern equivalents? |
1,593 | import logging
from os import PathLike
from typing import Any, BinaryIO, List, Optional, Set
from .cd import (
coherence_ratio,
encoding_languages,
mb_encoding_languages,
merge_coherence_ratios,
)
from .constant import IANA_SUPPORTED, TOO_BIG_SEQUENCE, TOO_SMALL_SEQUENCE, TRACE
from .md import mess_ratio
from .models import CharsetMatch, CharsetMatches
from .utils import (
any_specified_encoding,
cut_sequence_chunks,
iana_name,
identify_sig_or_bom,
is_cp_similar,
is_multi_byte_encoding,
should_strip_sig_or_bom,
)
def from_fp(
fp: BinaryIO,
steps: int = 5,
chunk_size: int = 512,
threshold: float = 0.20,
cp_isolation: Optional[List[str]] = None,
cp_exclusion: Optional[List[str]] = None,
preemptive_behaviour: bool = True,
explain: bool = False,
language_threshold: float = 0.1,
) -> CharsetMatches:
"""
Same thing than the function from_bytes but using a file pointer that is already ready.
Will not close the file pointer.
"""
return from_bytes(
fp.read(),
steps,
chunk_size,
threshold,
cp_isolation,
cp_exclusion,
preemptive_behaviour,
explain,
language_threshold,
)
class CharsetMatches:
"""
Container with every CharsetMatch items ordered by default from most probable to the less one.
Act like a list(iterable) but does not implements all related methods.
"""
def __init__(self, results: Optional[List[CharsetMatch]] = None):
self._results: List[CharsetMatch] = sorted(results) if results else []
def __iter__(self) -> Iterator[CharsetMatch]:
yield from self._results
def __getitem__(self, item: Union[int, str]) -> CharsetMatch:
"""
Retrieve a single item either by its position or encoding name (alias may be used here).
Raise KeyError upon invalid index or encoding not present in results.
"""
if isinstance(item, int):
return self._results[item]
if isinstance(item, str):
item = iana_name(item, False)
for result in self._results:
if item in result.could_be_from_charset:
return result
raise KeyError
def __len__(self) -> int:
return len(self._results)
def __bool__(self) -> bool:
return len(self._results) > 0
def append(self, item: CharsetMatch) -> None:
"""
Insert a single match. Will be inserted accordingly to preserve sort.
Can be inserted as a submatch.
"""
if not isinstance(item, CharsetMatch):
raise ValueError(
"Cannot append instance '{}' to CharsetMatches".format(
str(item.__class__)
)
)
# We should disable the submatch factoring when the input file is too heavy (conserve RAM usage)
if len(item.raw) <= TOO_BIG_SEQUENCE:
for match in self._results:
if match.fingerprint == item.fingerprint and match.chaos == item.chaos:
match.add_submatch(item)
return
self._results.append(item)
self._results = sorted(self._results)
def best(self) -> Optional["CharsetMatch"]:
"""
Simply return the first match. Strict equivalent to matches[0].
"""
if not self._results:
return None
return self._results[0]
def first(self) -> Optional["CharsetMatch"]:
"""
Redundant method, call the method best(). Kept for BC reasons.
"""
return self.best()
The provided code snippet includes necessary dependencies for implementing the `from_path` function. Write a Python function `def from_path( path: "PathLike[Any]", steps: int = 5, chunk_size: int = 512, threshold: float = 0.20, cp_isolation: Optional[List[str]] = None, cp_exclusion: Optional[List[str]] = None, preemptive_behaviour: bool = True, explain: bool = False, language_threshold: float = 0.1, ) -> CharsetMatches` to solve the following problem:
Same thing than the function from_bytes but with one extra step. Opening and reading given file path in binary mode. Can raise IOError.
Here is the function:
def from_path(
path: "PathLike[Any]",
steps: int = 5,
chunk_size: int = 512,
threshold: float = 0.20,
cp_isolation: Optional[List[str]] = None,
cp_exclusion: Optional[List[str]] = None,
preemptive_behaviour: bool = True,
explain: bool = False,
language_threshold: float = 0.1,
) -> CharsetMatches:
"""
Same thing than the function from_bytes but with one extra step. Opening and reading given file path in binary mode.
Can raise IOError.
"""
with open(path, "rb") as fp:
return from_fp(
fp,
steps,
chunk_size,
threshold,
cp_isolation,
cp_exclusion,
preemptive_behaviour,
explain,
language_threshold,
) | Same thing than the function from_bytes but with one extra step. Opening and reading given file path in binary mode. Can raise IOError. |
1,594 | import importlib
import logging
import unicodedata
from codecs import IncrementalDecoder
from encodings.aliases import aliases
from functools import lru_cache
from re import findall
from typing import Generator, List, Optional, Set, Tuple, Union
from _multibytecodec import MultibyteIncrementalDecoder
from .constant import (
ENCODING_MARKS,
IANA_SUPPORTED_SIMILAR,
RE_POSSIBLE_ENCODING_INDICATION,
UNICODE_RANGES_COMBINED,
UNICODE_SECONDARY_RANGE_KEYWORD,
UTF8_MAXIMAL_ALLOCATION,
)
def remove_accent(character: str) -> str:
decomposed: str = unicodedata.decomposition(character)
if not decomposed:
return character
codes: List[str] = decomposed.split(" ")
return chr(int(codes[0], 16)) | null |
1,595 | import importlib
import logging
import unicodedata
from codecs import IncrementalDecoder
from encodings.aliases import aliases
from functools import lru_cache
from re import findall
from typing import Generator, List, Optional, Set, Tuple, Union
from _multibytecodec import MultibyteIncrementalDecoder
from .constant import (
ENCODING_MARKS,
IANA_SUPPORTED_SIMILAR,
RE_POSSIBLE_ENCODING_INDICATION,
UNICODE_RANGES_COMBINED,
UNICODE_SECONDARY_RANGE_KEYWORD,
UTF8_MAXIMAL_ALLOCATION,
)
def is_ascii(character: str) -> bool:
try:
character.encode("ascii")
except UnicodeEncodeError:
return False
return True | null |
1,596 | import importlib
import logging
import unicodedata
from codecs import IncrementalDecoder
from encodings.aliases import aliases
from functools import lru_cache
from re import findall
from typing import Generator, List, Optional, Set, Tuple, Union
from _multibytecodec import MultibyteIncrementalDecoder
from .constant import (
ENCODING_MARKS,
IANA_SUPPORTED_SIMILAR,
RE_POSSIBLE_ENCODING_INDICATION,
UNICODE_RANGES_COMBINED,
UNICODE_SECONDARY_RANGE_KEYWORD,
UTF8_MAXIMAL_ALLOCATION,
)
def unicode_range(character: str) -> Optional[str]:
"""
Retrieve the Unicode range official name from a single character.
"""
character_ord: int = ord(character)
for range_name, ord_range in UNICODE_RANGES_COMBINED.items():
if character_ord in ord_range:
return range_name
return None
def is_punctuation(character: str) -> bool:
character_category: str = unicodedata.category(character)
if "P" in character_category:
return True
character_range: Optional[str] = unicode_range(character)
if character_range is None:
return False
return "Punctuation" in character_range | null |
1,597 | import importlib
import logging
import unicodedata
from codecs import IncrementalDecoder
from encodings.aliases import aliases
from functools import lru_cache
from re import findall
from typing import Generator, List, Optional, Set, Tuple, Union
from _multibytecodec import MultibyteIncrementalDecoder
from .constant import (
ENCODING_MARKS,
IANA_SUPPORTED_SIMILAR,
RE_POSSIBLE_ENCODING_INDICATION,
UNICODE_RANGES_COMBINED,
UNICODE_SECONDARY_RANGE_KEYWORD,
UTF8_MAXIMAL_ALLOCATION,
)
def unicode_range(character: str) -> Optional[str]:
"""
Retrieve the Unicode range official name from a single character.
"""
character_ord: int = ord(character)
for range_name, ord_range in UNICODE_RANGES_COMBINED.items():
if character_ord in ord_range:
return range_name
return None
def is_symbol(character: str) -> bool:
character_category: str = unicodedata.category(character)
if "S" in character_category or "N" in character_category:
return True
character_range: Optional[str] = unicode_range(character)
if character_range is None:
return False
return "Forms" in character_range | null |
1,598 | import importlib
import logging
import unicodedata
from codecs import IncrementalDecoder
from encodings.aliases import aliases
from functools import lru_cache
from re import findall
from typing import Generator, List, Optional, Set, Tuple, Union
from _multibytecodec import MultibyteIncrementalDecoder
from .constant import (
ENCODING_MARKS,
IANA_SUPPORTED_SIMILAR,
RE_POSSIBLE_ENCODING_INDICATION,
UNICODE_RANGES_COMBINED,
UNICODE_SECONDARY_RANGE_KEYWORD,
UTF8_MAXIMAL_ALLOCATION,
)
def unicode_range(character: str) -> Optional[str]:
"""
Retrieve the Unicode range official name from a single character.
"""
character_ord: int = ord(character)
for range_name, ord_range in UNICODE_RANGES_COMBINED.items():
if character_ord in ord_range:
return range_name
return None
def is_emoticon(character: str) -> bool:
character_range: Optional[str] = unicode_range(character)
if character_range is None:
return False
return "Emoticons" in character_range | null |
1,599 | import importlib
import logging
import unicodedata
from codecs import IncrementalDecoder
from encodings.aliases import aliases
from functools import lru_cache
from re import findall
from typing import Generator, List, Optional, Set, Tuple, Union
from _multibytecodec import MultibyteIncrementalDecoder
from .constant import (
ENCODING_MARKS,
IANA_SUPPORTED_SIMILAR,
RE_POSSIBLE_ENCODING_INDICATION,
UNICODE_RANGES_COMBINED,
UNICODE_SECONDARY_RANGE_KEYWORD,
UTF8_MAXIMAL_ALLOCATION,
)
def is_separator(character: str) -> bool:
if character.isspace() or character in {"｜", "+", ",", ";", "<", ">"}:
return True
character_category: str = unicodedata.category(character)
return "Z" in character_category | null |
1,600 | import importlib
import logging
import unicodedata
from codecs import IncrementalDecoder
from encodings.aliases import aliases
from functools import lru_cache
from re import findall
from typing import Generator, List, Optional, Set, Tuple, Union
from _multibytecodec import MultibyteIncrementalDecoder
from .constant import (
ENCODING_MARKS,
IANA_SUPPORTED_SIMILAR,
RE_POSSIBLE_ENCODING_INDICATION,
UNICODE_RANGES_COMBINED,
UNICODE_SECONDARY_RANGE_KEYWORD,
UTF8_MAXIMAL_ALLOCATION,
)
def is_case_variable(character: str) -> bool:
return character.islower() != character.isupper() | null |
1,601 | import importlib
import logging
import unicodedata
from codecs import IncrementalDecoder
from encodings.aliases import aliases
from functools import lru_cache
from re import findall
from typing import Generator, List, Optional, Set, Tuple, Union
from _multibytecodec import MultibyteIncrementalDecoder
from .constant import (
ENCODING_MARKS,
IANA_SUPPORTED_SIMILAR,
RE_POSSIBLE_ENCODING_INDICATION,
UNICODE_RANGES_COMBINED,
UNICODE_SECONDARY_RANGE_KEYWORD,
UTF8_MAXIMAL_ALLOCATION,
)
def is_private_use_only(character: str) -> bool:
character_category: str = unicodedata.category(character)
return character_category == "Co" | null |
1,602 | import importlib
import logging
import unicodedata
from codecs import IncrementalDecoder
from encodings.aliases import aliases
from functools import lru_cache
from re import findall
from typing import Generator, List, Optional, Set, Tuple, Union
from _multibytecodec import MultibyteIncrementalDecoder
from .constant import (
ENCODING_MARKS,
IANA_SUPPORTED_SIMILAR,
RE_POSSIBLE_ENCODING_INDICATION,
UNICODE_RANGES_COMBINED,
UNICODE_SECONDARY_RANGE_KEYWORD,
UTF8_MAXIMAL_ALLOCATION,
)
def is_cjk(character: str) -> bool:
try:
character_name = unicodedata.name(character)
except ValueError:
return False
return "CJK" in character_name | null |
1,603 | import importlib
import logging
import unicodedata
from codecs import IncrementalDecoder
from encodings.aliases import aliases
from functools import lru_cache
from re import findall
from typing import Generator, List, Optional, Set, Tuple, Union
from _multibytecodec import MultibyteIncrementalDecoder
from .constant import (
ENCODING_MARKS,
IANA_SUPPORTED_SIMILAR,
RE_POSSIBLE_ENCODING_INDICATION,
UNICODE_RANGES_COMBINED,
UNICODE_SECONDARY_RANGE_KEYWORD,
UTF8_MAXIMAL_ALLOCATION,
)
def is_hiragana(character: str) -> bool:
try:
character_name = unicodedata.name(character)
except ValueError:
return False
return "HIRAGANA" in character_name | null |
1,604 | import importlib
import logging
import unicodedata
from codecs import IncrementalDecoder
from encodings.aliases import aliases
from functools import lru_cache
from re import findall
from typing import Generator, List, Optional, Set, Tuple, Union
from _multibytecodec import MultibyteIncrementalDecoder
from .constant import (
ENCODING_MARKS,
IANA_SUPPORTED_SIMILAR,
RE_POSSIBLE_ENCODING_INDICATION,
UNICODE_RANGES_COMBINED,
UNICODE_SECONDARY_RANGE_KEYWORD,
UTF8_MAXIMAL_ALLOCATION,
)
def is_katakana(character: str) -> bool:
try:
character_name = unicodedata.name(character)
except ValueError:
return False
return "KATAKANA" in character_name | null |
1,605 | import importlib
import logging
import unicodedata
from codecs import IncrementalDecoder
from encodings.aliases import aliases
from functools import lru_cache
from re import findall
from typing import Generator, List, Optional, Set, Tuple, Union
from _multibytecodec import MultibyteIncrementalDecoder
from .constant import (
ENCODING_MARKS,
IANA_SUPPORTED_SIMILAR,
RE_POSSIBLE_ENCODING_INDICATION,
UNICODE_RANGES_COMBINED,
UNICODE_SECONDARY_RANGE_KEYWORD,
UTF8_MAXIMAL_ALLOCATION,
)
def is_hangul(character: str) -> bool:
try:
character_name = unicodedata.name(character)
except ValueError:
return False
return "HANGUL" in character_name | null |
1,606 | import importlib
import logging
import unicodedata
from codecs import IncrementalDecoder
from encodings.aliases import aliases
from functools import lru_cache
from re import findall
from typing import Generator, List, Optional, Set, Tuple, Union
from _multibytecodec import MultibyteIncrementalDecoder
from .constant import (
ENCODING_MARKS,
IANA_SUPPORTED_SIMILAR,
RE_POSSIBLE_ENCODING_INDICATION,
UNICODE_RANGES_COMBINED,
UNICODE_SECONDARY_RANGE_KEYWORD,
UTF8_MAXIMAL_ALLOCATION,
)
def is_thai(character: str) -> bool:
try:
character_name = unicodedata.name(character)
except ValueError:
return False
return "THAI" in character_name | null |
1,607 | import importlib
import logging
import unicodedata
from codecs import IncrementalDecoder
from encodings.aliases import aliases
from functools import lru_cache
from re import findall
from typing import Generator, List, Optional, Set, Tuple, Union
from _multibytecodec import MultibyteIncrementalDecoder
from .constant import (
ENCODING_MARKS,
IANA_SUPPORTED_SIMILAR,
RE_POSSIBLE_ENCODING_INDICATION,
UNICODE_RANGES_COMBINED,
UNICODE_SECONDARY_RANGE_KEYWORD,
UTF8_MAXIMAL_ALLOCATION,
)
def is_unprintable(character: str) -> bool:
return (
character.isspace() is False # includes \n \t \r \v
and character.isprintable() is False
and character != "\x1A" # Why? Its the ASCII substitute character.
and character != "\ufeff" # bug discovered in Python,
# Zero Width No-Break Space located in Arabic Presentation Forms-B, Unicode 1.1 not acknowledged as space.
) | null |
1,608 | import importlib
import logging
import unicodedata
from codecs import IncrementalDecoder
from encodings.aliases import aliases
from functools import lru_cache
from re import findall
from typing import Generator, List, Optional, Set, Tuple, Union
from _multibytecodec import MultibyteIncrementalDecoder
from .constant import (
ENCODING_MARKS,
IANA_SUPPORTED_SIMILAR,
RE_POSSIBLE_ENCODING_INDICATION,
UNICODE_RANGES_COMBINED,
UNICODE_SECONDARY_RANGE_KEYWORD,
UTF8_MAXIMAL_ALLOCATION,
)
def unicode_range(character: str) -> Optional[str]:
def range_scan(decoded_sequence: str) -> List[str]:
ranges: Set[str] = set()
for character in decoded_sequence:
character_range: Optional[str] = unicode_range(character)
if character_range is None:
continue
ranges.add(character_range)
return list(ranges) | null |
1,609 | import importlib
import logging
import unicodedata
from codecs import IncrementalDecoder
from encodings.aliases import aliases
from functools import lru_cache
from re import findall
from typing import Generator, List, Optional, Set, Tuple, Union
from _multibytecodec import MultibyteIncrementalDecoder
from .constant import (
ENCODING_MARKS,
IANA_SUPPORTED_SIMILAR,
RE_POSSIBLE_ENCODING_INDICATION,
UNICODE_RANGES_COMBINED,
UNICODE_SECONDARY_RANGE_KEYWORD,
UTF8_MAXIMAL_ALLOCATION,
)
def is_multi_byte_encoding(name: str) -> bool:
"""
Verify is a specific encoding is a multi byte one based on it IANA name
"""
return name in {
"utf_8",
"utf_8_sig",
"utf_16",
"utf_16_be",
"utf_16_le",
"utf_32",
"utf_32_le",
"utf_32_be",
"utf_7",
} or issubclass(
importlib.import_module("encodings.{}".format(name)).IncrementalDecoder,
MultibyteIncrementalDecoder,
)
def cp_similarity(iana_name_a: str, iana_name_b: str) -> float:
if is_multi_byte_encoding(iana_name_a) or is_multi_byte_encoding(iana_name_b):
return 0.0
decoder_a = importlib.import_module(
"encodings.{}".format(iana_name_a)
).IncrementalDecoder
decoder_b = importlib.import_module(
"encodings.{}".format(iana_name_b)
).IncrementalDecoder
id_a: IncrementalDecoder = decoder_a(errors="ignore")
id_b: IncrementalDecoder = decoder_b(errors="ignore")
character_match_count: int = 0
for i in range(255):
to_be_decoded: bytes = bytes([i])
if id_a.decode(to_be_decoded) == id_b.decode(to_be_decoded):
character_match_count += 1
return character_match_count / 254 | null |
1,610 | import importlib
import logging
import unicodedata
from codecs import IncrementalDecoder
from encodings.aliases import aliases
from functools import lru_cache
from re import findall
from typing import Generator, List, Optional, Set, Tuple, Union
from _multibytecodec import MultibyteIncrementalDecoder
from .constant import (
ENCODING_MARKS,
IANA_SUPPORTED_SIMILAR,
RE_POSSIBLE_ENCODING_INDICATION,
UNICODE_RANGES_COMBINED,
UNICODE_SECONDARY_RANGE_KEYWORD,
UTF8_MAXIMAL_ALLOCATION,
)
import logging
logging.getLogger("charset_normalizer").addHandler(logging.NullHandler())
def set_logging_handler(
name: str = "charset_normalizer",
level: int = logging.INFO,
format_string: str = "%(asctime)s | %(levelname)s | %(message)s",
) -> None:
logger = logging.getLogger(name)
logger.setLevel(level)
handler = logging.StreamHandler()
handler.setFormatter(logging.Formatter(format_string))
logger.addHandler(handler) | null |
1,611 | import argparse
import sys
from json import dumps
from os.path import abspath, basename, dirname, join, realpath
from platform import python_version
from typing import List, Optional
from unicodedata import unidata_version
import charset_normalizer.md as md_module
from charset_normalizer import from_fp
from charset_normalizer.models import CliDetectionResult
from charset_normalizer.version import __version__
def query_yes_no(question: str, default: str = "yes") -> bool:
"""Ask a yes/no question via input() and return their answer.
"question" is a string that is presented to the user.
"default" is the presumed answer if the user just hits <Enter>.
It must be "yes" (the default), "no" or None (meaning
an answer is required of the user).
The "answer" return value is True for "yes" or False for "no".
Credit goes to (c) https://stackoverflow.com/questions/3041986/apt-command-line-interface-like-yes-no-input
"""
valid = {"yes": True, "y": True, "ye": True, "no": False, "n": False}
if default is None:
prompt = " [y/n] "
elif default == "yes":
prompt = " [Y/n] "
elif default == "no":
prompt = " [y/N] "
else:
raise ValueError("invalid default answer: '%s'" % default)
while True:
sys.stdout.write(question + prompt)
choice = input().lower()
if default is not None and choice == "":
return valid[default]
elif choice in valid:
return valid[choice]
else:
sys.stdout.write("Please respond with 'yes' or 'no' " "(or 'y' or 'n').\n")
class CliDetectionResult:
def __init__(
self,
path: str,
encoding: Optional[str],
encoding_aliases: List[str],
alternative_encodings: List[str],
language: str,
alphabets: List[str],
has_sig_or_bom: bool,
chaos: float,
coherence: float,
unicode_path: Optional[str],
is_preferred: bool,
):
self.path: str = path
self.unicode_path: Optional[str] = unicode_path
self.encoding: Optional[str] = encoding
self.encoding_aliases: List[str] = encoding_aliases
self.alternative_encodings: List[str] = alternative_encodings
self.language: str = language
self.alphabets: List[str] = alphabets
self.has_sig_or_bom: bool = has_sig_or_bom
self.chaos: float = chaos
self.coherence: float = coherence
self.is_preferred: bool = is_preferred
def __dict__(self) -> Dict[str, Any]: # type: ignore
return {
"path": self.path,
"encoding": self.encoding,
"encoding_aliases": self.encoding_aliases,
"alternative_encodings": self.alternative_encodings,
"language": self.language,
"alphabets": self.alphabets,
"has_sig_or_bom": self.has_sig_or_bom,
"chaos": self.chaos,
"coherence": self.coherence,
"unicode_path": self.unicode_path,
"is_preferred": self.is_preferred,
}
def to_json(self) -> str:
return dumps(self.__dict__, ensure_ascii=True, indent=4)
__version__ = "3.1.0"
The provided code snippet includes necessary dependencies for implementing the `cli_detect` function. Write a Python function `def cli_detect(argv: Optional[List[str]] = None) -> int` to solve the following problem:
CLI assistant using ARGV and ArgumentParser :param argv: :return: 0 if everything is fine, anything else equal trouble
Here is the function:
def cli_detect(argv: Optional[List[str]] = None) -> int:
"""
CLI assistant using ARGV and ArgumentParser
:param argv:
:return: 0 if everything is fine, anything else equal trouble
"""
parser = argparse.ArgumentParser(
description="The Real First Universal Charset Detector. "
"Discover originating encoding used on text file. "
"Normalize text to unicode."
)
parser.add_argument(
"files", type=argparse.FileType("rb"), nargs="+", help="File(s) to be analysed"
)
parser.add_argument(
"-v",
"--verbose",
action="store_true",
default=False,
dest="verbose",
help="Display complementary information about file if any. "
"Stdout will contain logs about the detection process.",
)
parser.add_argument(
"-a",
"--with-alternative",
action="store_true",
default=False,
dest="alternatives",
help="Output complementary possibilities if any. Top-level JSON WILL be a list.",
)
parser.add_argument(
"-n",
"--normalize",
action="store_true",
default=False,
dest="normalize",
help="Permit to normalize input file. If not set, program does not write anything.",
)
parser.add_argument(
"-m",
"--minimal",
action="store_true",
default=False,
dest="minimal",
help="Only output the charset detected to STDOUT. Disabling JSON output.",
)
parser.add_argument(
"-r",
"--replace",
action="store_true",
default=False,
dest="replace",
help="Replace file when trying to normalize it instead of creating a new one.",
)
parser.add_argument(
"-f",
"--force",
action="store_true",
default=False,
dest="force",
help="Replace file without asking if you are sure, use this flag with caution.",
)
parser.add_argument(
"-t",
"--threshold",
action="store",
default=0.2,
type=float,
dest="threshold",
help="Define a custom maximum amount of chaos allowed in decoded content. 0. <= chaos <= 1.",
)
parser.add_argument(
"--version",
action="version",
version="Charset-Normalizer {} - Python {} - Unicode {} - SpeedUp {}".format(
__version__,
python_version(),
unidata_version,
"OFF" if md_module.__file__.lower().endswith(".py") else "ON",
),
help="Show version information and exit.",
)
args = parser.parse_args(argv)
if args.replace is True and args.normalize is False:
print("Use --replace in addition of --normalize only.", file=sys.stderr)
return 1
if args.force is True and args.replace is False:
print("Use --force in addition of --replace only.", file=sys.stderr)
return 1
if args.threshold < 0.0 or args.threshold > 1.0:
print("--threshold VALUE should be between 0. AND 1.", file=sys.stderr)
return 1
x_ = []
for my_file in args.files:
matches = from_fp(my_file, threshold=args.threshold, explain=args.verbose)
best_guess = matches.best()
if best_guess is None:
print(
'Unable to identify originating encoding for "{}". {}'.format(
my_file.name,
"Maybe try increasing maximum amount of chaos."
if args.threshold < 1.0
else "",
),
file=sys.stderr,
)
x_.append(
CliDetectionResult(
abspath(my_file.name),
None,
[],
[],
"Unknown",
[],
False,
1.0,
0.0,
None,
True,
)
)
else:
x_.append(
CliDetectionResult(
abspath(my_file.name),
best_guess.encoding,
best_guess.encoding_aliases,
[
cp
for cp in best_guess.could_be_from_charset
if cp != best_guess.encoding
],
best_guess.language,
best_guess.alphabets,
best_guess.bom,
best_guess.percent_chaos,
best_guess.percent_coherence,
None,
True,
)
)
if len(matches) > 1 and args.alternatives:
for el in matches:
if el != best_guess:
x_.append(
CliDetectionResult(
abspath(my_file.name),
el.encoding,
el.encoding_aliases,
[
cp
for cp in el.could_be_from_charset
if cp != el.encoding
],
el.language,
el.alphabets,
el.bom,
el.percent_chaos,
el.percent_coherence,
None,
False,
)
)
if args.normalize is True:
if best_guess.encoding.startswith("utf") is True:
print(
'"{}" file does not need to be normalized, as it already came from unicode.'.format(
my_file.name
),
file=sys.stderr,
)
if my_file.closed is False:
my_file.close()
continue
dir_path = dirname(realpath(my_file.name))
file_name = basename(realpath(my_file.name))
o_: List[str] = file_name.split(".")
if args.replace is False:
o_.insert(-1, best_guess.encoding)
if my_file.closed is False:
my_file.close()
elif (
args.force is False
and query_yes_no(
'Are you sure to normalize "{}" by replacing it ?'.format(
my_file.name
),
"no",
)
is False
):
if my_file.closed is False:
my_file.close()
continue
try:
x_[0].unicode_path = join(dir_path, ".".join(o_))
with open(x_[0].unicode_path, "w", encoding="utf-8") as fp:
fp.write(str(best_guess))
except IOError as e:
print(str(e), file=sys.stderr)
if my_file.closed is False:
my_file.close()
return 2
if my_file.closed is False:
my_file.close()
if args.minimal is False:
print(
dumps(
[el.__dict__ for el in x_] if len(x_) > 1 else x_[0].__dict__,
ensure_ascii=True,
indent=4,
)
)
else:
for my_file in args.files:
print(
", ".join(
[
el.encoding or "undefined"
for el in x_
if el.path == abspath(my_file.name)
]
)
)
return 0 | CLI assistant using ARGV and ArgumentParser :param argv: :return: 0 if everything is fine, anything else equal trouble |
1,612 | import re
import sys
from weakref import proxy
from .std import tqdm as std_tqdm
class tqdm_notebook(std_tqdm):
"""
Experimental IPython/Jupyter Notebook widget using tqdm!
"""
def status_printer(_, total=None, desc=None, ncols=None):
"""
Manage the printing of an IPython/Jupyter Notebook progress bar widget.
"""
# Fallback to text bar if there's no total
# DEPRECATED: replaced with an 'info' style bar
# if not total:
# return super(tqdm_notebook, tqdm_notebook).status_printer(file)
# fp = file
# Prepare IPython progress bar
if IProgress is None: # #187 #451 #558 #872
raise ImportError(WARN_NOIPYW)
if total:
pbar = IProgress(min=0, max=total)
else: # No total? Show info style bar with no progress tqdm status
pbar = IProgress(min=0, max=1)
pbar.value = 1
pbar.bar_style = 'info'
if ncols is None:
pbar.layout.width = "20px"
ltext = HTML()
rtext = HTML()
if desc:
ltext.value = desc
container = TqdmHBox(children=[ltext, pbar, rtext])
# Prepare layout
if ncols is not None: # use default style of ipywidgets
# ncols could be 100, "100px", "100%"
ncols = str(ncols) # ipywidgets only accepts string
try:
if int(ncols) > 0: # isnumeric and positive
ncols += 'px'
except ValueError:
pass
pbar.layout.flex = '2'
container.layout.width = ncols
container.layout.display = 'inline-flex'
container.layout.flex_flow = 'row wrap'
return container
def display(self, msg=None, pos=None,
# additional signals
close=False, bar_style=None, check_delay=True):
# Note: contrary to native tqdm, msg='' does NOT clear bar
# goal is to keep all infos if error happens so user knows
# at which iteration the loop failed.
# Clear previous output (really necessary?)
# clear_output(wait=1)
if not msg and not close:
d = self.format_dict
# remove {bar}
d['bar_format'] = (d['bar_format'] or "{l_bar}<bar/>{r_bar}").replace(
"{bar}", "<bar/>")
msg = self.format_meter(**d)
ltext, pbar, rtext = self.container.children
pbar.value = self.n
if msg:
# html escape special characters (like '&')
if '<bar/>' in msg:
left, right = map(escape, re.split(r'\|?<bar/>\|?', msg, 1))
else:
left, right = '', escape(msg)
# Update description
ltext.value = left
# never clear the bar (signal: msg='')
if right:
rtext.value = right
# Change bar style
if bar_style:
# Hack-ish way to avoid the danger bar_style being overridden by
# success because the bar gets closed after the error...
if pbar.bar_style != 'danger' or bar_style != 'success':
pbar.bar_style = bar_style
# Special signal to close the bar
if close and pbar.bar_style != 'danger': # hide only if no error
try:
self.container.close()
except AttributeError:
self.container.visible = False
self.container.layout.visibility = 'hidden' # IPYW>=8
if check_delay and self.delay > 0 and not self.displayed:
display(self.container)
self.displayed = True
def colour(self):
if hasattr(self, 'container'):
return self.container.children[-2].style.bar_color
def colour(self, bar_color):
if hasattr(self, 'container'):
self.container.children[-2].style.bar_color = bar_color
def __init__(self, *args, **kwargs):
"""
Supports the usual `tqdm.tqdm` parameters as well as those listed below.
Parameters
----------
display : Whether to call `display(self.container)` immediately
[default: True].
"""
kwargs = kwargs.copy()
# Setup default output
file_kwarg = kwargs.get('file', sys.stderr)
if file_kwarg is sys.stderr or file_kwarg is None:
kwargs['file'] = sys.stdout # avoid the red block in IPython
# Initialize parent class + avoid printing by using gui=True
kwargs['gui'] = True
# convert disable = None to False
kwargs['disable'] = bool(kwargs.get('disable', False))
colour = kwargs.pop('colour', None)
display_here = kwargs.pop('display', True)
super(tqdm_notebook, self).__init__(*args, **kwargs)
if self.disable or not kwargs['gui']:
self.disp = lambda *_, **__: None
return
# Get bar width
self.ncols = '100%' if self.dynamic_ncols else kwargs.get("ncols", None)
# Replace with IPython progress bar display (with correct total)
unit_scale = 1 if self.unit_scale is True else self.unit_scale or 1
total = self.total * unit_scale if self.total else self.total
self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
self.container.pbar = proxy(self)
self.displayed = False
if display_here and self.delay <= 0:
display(self.container)
self.displayed = True
self.disp = self.display
self.colour = colour
# Print initial bar state
if not self.disable:
self.display(check_delay=False)
def __iter__(self):
try:
it = super(tqdm_notebook, self).__iter__()
for obj in it:
# return super(tqdm...) will not catch exception
yield obj
# NB: except ... [ as ...] breaks IPython async KeyboardInterrupt
except: # NOQA
self.disp(bar_style='danger')
raise
# NB: don't `finally: close()`
# since this could be a shared bar which the user will `reset()`
def update(self, n=1):
try:
return super(tqdm_notebook, self).update(n=n)
# NB: except ... [ as ...] breaks IPython async KeyboardInterrupt
except: # NOQA
# cannot catch KeyboardInterrupt when using manual tqdm
# as the interrupt will most likely happen on another statement
self.disp(bar_style='danger')
raise
# NB: don't `finally: close()`
# since this could be a shared bar which the user will `reset()`
def close(self):
if self.disable:
return
super(tqdm_notebook, self).close()
# Try to detect if there was an error or KeyboardInterrupt
# in manual mode: if n < total, things probably got wrong
if self.total and self.n < self.total:
self.disp(bar_style='danger', check_delay=False)
else:
if self.leave:
self.disp(bar_style='success', check_delay=False)
else:
self.disp(close=True, check_delay=False)
def clear(self, *_, **__):
pass
def reset(self, total=None):
"""
Resets to 0 iterations for repeated use.
Consider combining with `leave=True`.
Parameters
----------
total : int or float, optional. Total to use for the new bar.
"""
if self.disable:
return super(tqdm_notebook, self).reset(total=total)
_, pbar, _ = self.container.children
pbar.bar_style = ''
if total is not None:
pbar.max = total
if not self.total and self.ncols is None: # no longer unknown total
pbar.layout.width = None # reset width
return super(tqdm_notebook, self).reset(total=total)
The provided code snippet includes necessary dependencies for implementing the `tnrange` function. Write a Python function `def tnrange(*args, **kwargs)` to solve the following problem:
Shortcut for `tqdm.notebook.tqdm(range(*args), **kwargs)`.
Here is the function:
def tnrange(*args, **kwargs):
"""Shortcut for `tqdm.notebook.tqdm(range(*args), **kwargs)`."""
return tqdm_notebook(range(*args), **kwargs) | Shortcut for `tqdm.notebook.tqdm(range(*args), **kwargs)`. |
1,613 | import logging
import re
import sys
from ast import literal_eval as numeric
from .std import TqdmKeyError, TqdmTypeError, tqdm
from .version import __version__
log = logging.getLogger(__name__)
class TqdmTypeError(TypeError):
pass
def cast(val, typ):
log.debug((val, typ))
if " or " in typ:
for t in typ.split(" or "):
try:
return cast(val, t)
except TqdmTypeError:
pass
raise TqdmTypeError(val + ' : ' + typ)
# sys.stderr.write('\ndebug | `val:type`: `' + val + ':' + typ + '`.\n')
if typ == 'bool':
if (val == 'True') or (val == ''):
return True
elif val == 'False':
return False
else:
raise TqdmTypeError(val + ' : ' + typ)
try:
return eval(typ + '("' + val + '")')
except Exception:
if typ == 'chr':
return chr(ord(eval('"' + val + '"'))).encode()
else:
raise TqdmTypeError(val + ' : ' + typ) | null |
1,614 | import logging
import re
import sys
from ast import literal_eval as numeric
from .std import TqdmKeyError, TqdmTypeError, tqdm
from .version import __version__
The provided code snippet includes necessary dependencies for implementing the `posix_pipe` function. Write a Python function `def posix_pipe(fin, fout, delim=b'\\n', buf_size=256, callback=lambda float: None, callback_len=True)` to solve the following problem:
Params ------ fin : binary file with `read(buf_size : int)` method fout : binary file with `write` (and optionally `flush`) methods. callback : function(float), e.g.: `tqdm.update` callback_len : If (default: True) do `callback(len(buffer))`. Otherwise, do `callback(data) for data in buffer.split(delim)`.
Here is the function:
def posix_pipe(fin, fout, delim=b'\\n', buf_size=256,
callback=lambda float: None, callback_len=True):
"""
Params
------
fin : binary file with `read(buf_size : int)` method
fout : binary file with `write` (and optionally `flush`) methods.
callback : function(float), e.g.: `tqdm.update`
callback_len : If (default: True) do `callback(len(buffer))`.
Otherwise, do `callback(data) for data in buffer.split(delim)`.
"""
fp_write = fout.write
if not delim:
while True:
tmp = fin.read(buf_size)
# flush at EOF
if not tmp:
getattr(fout, 'flush', lambda: None)()
return
fp_write(tmp)
callback(len(tmp))
# return
buf = b''
len_delim = len(delim)
# n = 0
while True:
tmp = fin.read(buf_size)
# flush at EOF
if not tmp:
if buf:
fp_write(buf)
if callback_len:
# n += 1 + buf.count(delim)
callback(1 + buf.count(delim))
else:
for i in buf.split(delim):
callback(i)
getattr(fout, 'flush', lambda: None)()
return # n
while True:
i = tmp.find(delim)
if i < 0:
buf += tmp
break
fp_write(buf + tmp[:i + len(delim)])
# n += 1
callback(1 if callback_len else (buf + tmp[:i]))
buf = b''
tmp = tmp[i + len_delim:] | Params ------ fin : binary file with `read(buf_size : int)` method fout : binary file with `write` (and optionally `flush`) methods. callback : function(float), e.g.: `tqdm.update` callback_len : If (default: True) do `callback(len(buffer))`. Otherwise, do `callback(data) for data in buffer.split(delim)`. |
1,615 | import os
import re
import sys
from functools import wraps
from unicodedata import east_asian_width
from warnings import warn
from weakref import proxy
def _supports_unicode(fp):
def _is_ascii(s):
if isinstance(s, str):
for c in s:
if ord(c) > 255:
return False
return True
return _supports_unicode(s) | null |
1,616 | import os
import re
import sys
from functools import wraps
from unicodedata import east_asian_width
from warnings import warn
from weakref import proxy
def _screen_shape_wrapper(): # pragma: no cover
"""
Return a function which returns console dimensions (width, height).
Supported: linux, osx, windows, cygwin.
"""
_screen_shape = None
if IS_WIN:
_screen_shape = _screen_shape_windows
if _screen_shape is None:
_screen_shape = _screen_shape_tput
if IS_NIX:
_screen_shape = _screen_shape_linux
return _screen_shape
The provided code snippet includes necessary dependencies for implementing the `_environ_cols_wrapper` function. Write a Python function `def _environ_cols_wrapper()` to solve the following problem:
Return a function which returns console width. Supported: linux, osx, windows, cygwin.
Here is the function:
def _environ_cols_wrapper(): # pragma: no cover
"""
Return a function which returns console width.
Supported: linux, osx, windows, cygwin.
"""
warn("Use `_screen_shape_wrapper()(file)[0]` instead of"
" `_environ_cols_wrapper()(file)`", DeprecationWarning, stacklevel=2)
shape = _screen_shape_wrapper()
if not shape:
return None
@wraps(shape)
def inner(fp):
return shape(fp)[0]
return inner | Return a function which returns console width. Supported: linux, osx, windows, cygwin. |
1,617 | import os
import re
import sys
from functools import wraps
from unicodedata import east_asian_width
from warnings import warn
from weakref import proxy
def _term_move_up(): # pragma: no cover
return '' if (os.name == 'nt') and (colorama is None) else '\x1b[A' | null |
1,618 | import os
import re
import sys
from functools import wraps
from unicodedata import east_asian_width
from warnings import warn
from weakref import proxy
RE_ANSI = re.compile(r"\x1b\[[;\d]*[A-Za-z]")
def disp_len(data):
"""
Returns the real on-screen length of a string which may contain
ANSI control codes and wide chars.
"""
return _text_width(RE_ANSI.sub('', data))
The provided code snippet includes necessary dependencies for implementing the `disp_trim` function. Write a Python function `def disp_trim(data, length)` to solve the following problem:
Trim a string which may contain ANSI control characters.
Here is the function:
def disp_trim(data, length):
"""
Trim a string which may contain ANSI control characters.
"""
if len(data) == disp_len(data):
return data[:length]
ansi_present = bool(RE_ANSI.search(data))
while disp_len(data) > length: # carefully delete one char at a time
data = data[:-1]
if ansi_present and bool(RE_ANSI.search(data)):
# assume ANSI reset is required
return data if data.endswith("\033[0m") else data + "\033[0m"
return data | Trim a string which may contain ANSI control characters. |
1,619 | import sys
The provided code snippet includes necessary dependencies for implementing the `tqdm_pandas` function. Write a Python function `def tqdm_pandas(tclass, **tqdm_kwargs)` to solve the following problem:
Registers the given `tqdm` instance with `pandas.core.groupby.DataFrameGroupBy.progress_apply`.
Here is the function:
def tqdm_pandas(tclass, **tqdm_kwargs):
"""
Registers the given `tqdm` instance with
`pandas.core.groupby.DataFrameGroupBy.progress_apply`.
"""
from tqdm import TqdmDeprecationWarning
if isinstance(tclass, type) or (getattr(tclass, '__name__', '').startswith(
'tqdm_')): # delayed adapter case
TqdmDeprecationWarning(
"Please use `tqdm.pandas(...)` instead of `tqdm_pandas(tqdm, ...)`.",
fp_write=getattr(tqdm_kwargs.get('file', None), 'write', sys.stderr.write))
tclass.pandas(**tqdm_kwargs)
else:
TqdmDeprecationWarning(
"Please use `tqdm.pandas(...)` instead of `tqdm_pandas(tqdm(...))`.",
fp_write=getattr(tclass.fp, 'write', sys.stderr.write))
type(tclass).pandas(deprecated_t=tclass) | Registers the given `tqdm` instance with `pandas.core.groupby.DataFrameGroupBy.progress_apply`. |
1,620 | import itertools
from ..auto import tqdm as tqdm_auto
import itertools
The provided code snippet includes necessary dependencies for implementing the `product` function. Write a Python function `def product(*iterables, **tqdm_kwargs)` to solve the following problem:
Equivalent of `itertools.product`. Parameters ---------- tqdm_class : [default: tqdm.auto.tqdm].
Here is the function:
def product(*iterables, **tqdm_kwargs):
"""
Equivalent of `itertools.product`.
Parameters
----------
tqdm_class : [default: tqdm.auto.tqdm].
"""
kwargs = tqdm_kwargs.copy()
tqdm_class = kwargs.pop("tqdm_class", tqdm_auto)
try:
lens = list(map(len, iterables))
except TypeError:
total = None
else:
total = 1
for i in lens:
total *= i
kwargs.setdefault("total", total)
with tqdm_class(**kwargs) as t:
it = itertools.product(*iterables)
for i in it:
yield i
t.update() | Equivalent of `itertools.product`. Parameters ---------- tqdm_class : [default: tqdm.auto.tqdm]. |
1,621 | from os import getenv
from warnings import warn
from requests import Session
from ..auto import tqdm as tqdm_auto
from ..std import TqdmWarning
from .utils_worker import MonoWorker
class tqdm_telegram(tqdm_auto):
"""
Standard `tqdm.auto.tqdm` but also sends updates to a Telegram Bot.
May take a few seconds to create (`__init__`).
- create a bot <https://core.telegram.org/bots#6-botfather>
- copy its `{token}`
- add the bot to a chat and send it a message such as `/start`
- go to <https://api.telegram.org/bot`{token}`/getUpdates> to find out
the `{chat_id}`
- paste the `{token}` & `{chat_id}` below
>>> from tqdm.contrib.telegram import tqdm, trange
>>> for i in tqdm(iterable, token='{token}', chat_id='{chat_id}'):
... ...
"""
def __init__(self, *args, **kwargs):
"""
Parameters
----------
token : str, required. Telegram token
[default: ${TQDM_TELEGRAM_TOKEN}].
chat_id : str, required. Telegram chat ID
[default: ${TQDM_TELEGRAM_CHAT_ID}].
See `tqdm.auto.tqdm.__init__` for other parameters.
"""
if not kwargs.get('disable'):
kwargs = kwargs.copy()
self.tgio = TelegramIO(
kwargs.pop('token', getenv('TQDM_TELEGRAM_TOKEN')),
kwargs.pop('chat_id', getenv('TQDM_TELEGRAM_CHAT_ID')))
super(tqdm_telegram, self).__init__(*args, **kwargs)
def display(self, **kwargs):
super(tqdm_telegram, self).display(**kwargs)
fmt = self.format_dict
if fmt.get('bar_format', None):
fmt['bar_format'] = fmt['bar_format'].replace(
'<bar/>', '{bar:10u}').replace('{bar}', '{bar:10u}')
else:
fmt['bar_format'] = '{l_bar}{bar:10u}{r_bar}'
self.tgio.write(self.format_meter(**fmt))
def clear(self, *args, **kwargs):
super(tqdm_telegram, self).clear(*args, **kwargs)
if not self.disable:
self.tgio.write("")
def close(self):
if self.disable:
return
super(tqdm_telegram, self).close()
if not (self.leave or (self.leave is None and self.pos == 0)):
self.tgio.delete()
The provided code snippet includes necessary dependencies for implementing the `ttgrange` function. Write a Python function `def ttgrange(*args, **kwargs)` to solve the following problem:
Shortcut for `tqdm.contrib.telegram.tqdm(range(*args), **kwargs)`.
Here is the function:
def ttgrange(*args, **kwargs):
"""Shortcut for `tqdm.contrib.telegram.tqdm(range(*args), **kwargs)`."""
return tqdm_telegram(range(*args), **kwargs) | Shortcut for `tqdm.contrib.telegram.tqdm(range(*args), **kwargs)`. |
1,622 | import logging
import sys
from contextlib import contextmanager
from ..std import tqdm as std_tqdm
def logging_redirect_tqdm(
loggers=None, # type: Optional[List[logging.Logger]],
tqdm_class=std_tqdm # type: Type[std_tqdm]
):
# type: (...) -> Iterator[None]
"""
Context manager redirecting console logging to `tqdm.write()`, leaving
other logging handlers (e.g. log files) unaffected.
Parameters
----------
loggers : list, optional
Which handlers to redirect (default: [logging.root]).
tqdm_class : optional
Example
-------
```python
import logging
from tqdm import trange
from tqdm.contrib.logging import logging_redirect_tqdm
LOG = logging.getLogger(__name__)
if __name__ == '__main__':
logging.basicConfig(level=logging.INFO)
with logging_redirect_tqdm():
for i in trange(9):
if i == 4:
LOG.info("console logging redirected to `tqdm.write()`")
# logging restored
```
"""
if loggers is None:
loggers = [logging.root]
original_handlers_list = [logger.handlers for logger in loggers]
try:
for logger in loggers:
tqdm_handler = _TqdmLoggingHandler(tqdm_class)
orig_handler = _get_first_found_console_logging_handler(logger.handlers)
if orig_handler is not None:
tqdm_handler.setFormatter(orig_handler.formatter)
tqdm_handler.stream = orig_handler.stream
logger.handlers = [
handler for handler in logger.handlers
if not _is_console_logging_handler(handler)] + [tqdm_handler]
yield
finally:
for logger, original_handlers in zip(loggers, original_handlers_list):
logger.handlers = original_handlers
The provided code snippet includes necessary dependencies for implementing the `tqdm_logging_redirect` function. Write a Python function `def tqdm_logging_redirect( *args, # loggers=None, # type: Optional[List[logging.Logger]] # tqdm=None, # type: Optional[Type[tqdm.tqdm]] **kwargs )` to solve the following problem:
Convenience shortcut for: ```python with tqdm_class(*args, **tqdm_kwargs) as pbar: with logging_redirect_tqdm(loggers=loggers, tqdm_class=tqdm_class): yield pbar ``` Parameters ---------- tqdm_class : optional, (default: tqdm.std.tqdm). loggers : optional, list. **tqdm_kwargs : passed to `tqdm_class`.
Here is the function:
def tqdm_logging_redirect(
*args,
# loggers=None, # type: Optional[List[logging.Logger]]
# tqdm=None, # type: Optional[Type[tqdm.tqdm]]
**kwargs
):
# type: (...) -> Iterator[None]
"""
Convenience shortcut for:
```python
with tqdm_class(*args, **tqdm_kwargs) as pbar:
with logging_redirect_tqdm(loggers=loggers, tqdm_class=tqdm_class):
yield pbar
```
Parameters
----------
tqdm_class : optional, (default: tqdm.std.tqdm).
loggers : optional, list.
**tqdm_kwargs : passed to `tqdm_class`.
"""
tqdm_kwargs = kwargs.copy()
loggers = tqdm_kwargs.pop('loggers', None)
tqdm_class = tqdm_kwargs.pop('tqdm_class', std_tqdm)
with tqdm_class(*args, **tqdm_kwargs) as pbar:
with logging_redirect_tqdm(loggers=loggers, tqdm_class=tqdm_class):
yield pbar | Convenience shortcut for: ```python with tqdm_class(*args, **tqdm_kwargs) as pbar: with logging_redirect_tqdm(loggers=loggers, tqdm_class=tqdm_class): yield pbar ``` Parameters ---------- tqdm_class : optional, (default: tqdm.std.tqdm). loggers : optional, list. **tqdm_kwargs : passed to `tqdm_class`. |
1,623 | import logging
from os import getenv
from ..auto import tqdm as tqdm_auto
from .utils_worker import MonoWorker
class tqdm_discord(tqdm_auto):
"""
Standard `tqdm.auto.tqdm` but also sends updates to a Discord Bot.
May take a few seconds to create (`__init__`).
- create a discord bot (not public, no requirement of OAuth2 code
grant, only send message permissions) & invite it to a channel:
<https://discordpy.readthedocs.io/en/latest/discord.html>
- copy the bot `{token}` & `{channel_id}` and paste below
>>> from tqdm.contrib.discord import tqdm, trange
>>> for i in tqdm(iterable, token='{token}', channel_id='{channel_id}'):
... ...
"""
def __init__(self, *args, **kwargs):
"""
Parameters
----------
token : str, required. Discord token
[default: ${TQDM_DISCORD_TOKEN}].
channel_id : int, required. Discord channel ID
[default: ${TQDM_DISCORD_CHANNEL_ID}].
mininterval : float, optional.
Minimum of [default: 1.5] to avoid rate limit.
See `tqdm.auto.tqdm.__init__` for other parameters.
"""
if not kwargs.get('disable'):
kwargs = kwargs.copy()
logging.getLogger("HTTPClient").setLevel(logging.WARNING)
self.dio = DiscordIO(
kwargs.pop('token', getenv("TQDM_DISCORD_TOKEN")),
kwargs.pop('channel_id', getenv("TQDM_DISCORD_CHANNEL_ID")))
kwargs['mininterval'] = max(1.5, kwargs.get('mininterval', 1.5))
super(tqdm_discord, self).__init__(*args, **kwargs)
def display(self, **kwargs):
super(tqdm_discord, self).display(**kwargs)
fmt = self.format_dict
if fmt.get('bar_format', None):
fmt['bar_format'] = fmt['bar_format'].replace(
'<bar/>', '{bar:10u}').replace('{bar}', '{bar:10u}')
else:
fmt['bar_format'] = '{l_bar}{bar:10u}{r_bar}'
self.dio.write(self.format_meter(**fmt))
def clear(self, *args, **kwargs):
super(tqdm_discord, self).clear(*args, **kwargs)
if not self.disable:
self.dio.write("")
The provided code snippet includes necessary dependencies for implementing the `tdrange` function. Write a Python function `def tdrange(*args, **kwargs)` to solve the following problem:
Shortcut for `tqdm.contrib.discord.tqdm(range(*args), **kwargs)`.
Here is the function:
def tdrange(*args, **kwargs):
"""Shortcut for `tqdm.contrib.discord.tqdm(range(*args), **kwargs)`."""
return tqdm_discord(range(*args), **kwargs) | Shortcut for `tqdm.contrib.discord.tqdm(range(*args), **kwargs)`. |
1,624 | from contextlib import contextmanager
from operator import length_hint
from os import cpu_count
from ..auto import tqdm as tqdm_auto
from ..std import TqdmWarning
def _executor_map(PoolExecutor, fn, *iterables, **tqdm_kwargs):
"""
Implementation of `thread_map` and `process_map`.
Parameters
----------
tqdm_class : [default: tqdm.auto.tqdm].
max_workers : [default: min(32, cpu_count() + 4)].
chunksize : [default: 1].
lock_name : [default: "":str].
"""
kwargs = tqdm_kwargs.copy()
if "total" not in kwargs:
kwargs["total"] = length_hint(iterables[0])
tqdm_class = kwargs.pop("tqdm_class", tqdm_auto)
max_workers = kwargs.pop("max_workers", min(32, cpu_count() + 4))
chunksize = kwargs.pop("chunksize", 1)
lock_name = kwargs.pop("lock_name", "")
with ensure_lock(tqdm_class, lock_name=lock_name) as lk:
# share lock in case workers are already using `tqdm`
with PoolExecutor(max_workers=max_workers, initializer=tqdm_class.set_lock,
initargs=(lk,)) as ex:
return list(tqdm_class(ex.map(fn, *iterables, chunksize=chunksize), **kwargs))
The provided code snippet includes necessary dependencies for implementing the `thread_map` function. Write a Python function `def thread_map(fn, *iterables, **tqdm_kwargs)` to solve the following problem:
Equivalent of `list(map(fn, *iterables))` driven by `concurrent.futures.ThreadPoolExecutor`. Parameters ---------- tqdm_class : optional `tqdm` class to use for bars [default: tqdm.auto.tqdm]. max_workers : int, optional Maximum number of workers to spawn; passed to `concurrent.futures.ThreadPoolExecutor.__init__`. [default: max(32, cpu_count() + 4)].
Here is the function:
def thread_map(fn, *iterables, **tqdm_kwargs):
"""
Equivalent of `list(map(fn, *iterables))`
driven by `concurrent.futures.ThreadPoolExecutor`.
Parameters
----------
tqdm_class : optional
`tqdm` class to use for bars [default: tqdm.auto.tqdm].
max_workers : int, optional
Maximum number of workers to spawn; passed to
`concurrent.futures.ThreadPoolExecutor.__init__`.
[default: max(32, cpu_count() + 4)].
"""
from concurrent.futures import ThreadPoolExecutor
return _executor_map(ThreadPoolExecutor, fn, *iterables, **tqdm_kwargs) | Equivalent of `list(map(fn, *iterables))` driven by `concurrent.futures.ThreadPoolExecutor`. Parameters ---------- tqdm_class : optional `tqdm` class to use for bars [default: tqdm.auto.tqdm]. max_workers : int, optional Maximum number of workers to spawn; passed to `concurrent.futures.ThreadPoolExecutor.__init__`. [default: max(32, cpu_count() + 4)]. |
1,625 | from contextlib import contextmanager
from operator import length_hint
from os import cpu_count
from ..auto import tqdm as tqdm_auto
from ..std import TqdmWarning
def _executor_map(PoolExecutor, fn, *iterables, **tqdm_kwargs):
"""
Implementation of `thread_map` and `process_map`.
Parameters
----------
tqdm_class : [default: tqdm.auto.tqdm].
max_workers : [default: min(32, cpu_count() + 4)].
chunksize : [default: 1].
lock_name : [default: "":str].
"""
kwargs = tqdm_kwargs.copy()
if "total" not in kwargs:
kwargs["total"] = length_hint(iterables[0])
tqdm_class = kwargs.pop("tqdm_class", tqdm_auto)
max_workers = kwargs.pop("max_workers", min(32, cpu_count() + 4))
chunksize = kwargs.pop("chunksize", 1)
lock_name = kwargs.pop("lock_name", "")
with ensure_lock(tqdm_class, lock_name=lock_name) as lk:
# share lock in case workers are already using `tqdm`
with PoolExecutor(max_workers=max_workers, initializer=tqdm_class.set_lock,
initargs=(lk,)) as ex:
return list(tqdm_class(ex.map(fn, *iterables, chunksize=chunksize), **kwargs))
class TqdmWarning(Warning):
"""base class for all tqdm warnings.
Used for non-external-code-breaking errors, such as garbled printing.
"""
def __init__(self, msg, fp_write=None, *a, **k):
if fp_write is not None:
fp_write("\n" + self.__class__.__name__ + ": " + str(msg).rstrip() + '\n')
else:
super(TqdmWarning, self).__init__(msg, *a, **k)
The provided code snippet includes necessary dependencies for implementing the `process_map` function. Write a Python function `def process_map(fn, *iterables, **tqdm_kwargs)` to solve the following problem:
Equivalent of `list(map(fn, *iterables))` driven by `concurrent.futures.ProcessPoolExecutor`. Parameters ---------- tqdm_class : optional `tqdm` class to use for bars [default: tqdm.auto.tqdm]. max_workers : int, optional Maximum number of workers to spawn; passed to `concurrent.futures.ProcessPoolExecutor.__init__`. [default: min(32, cpu_count() + 4)]. chunksize : int, optional Size of chunks sent to worker processes; passed to `concurrent.futures.ProcessPoolExecutor.map`. [default: 1]. lock_name : str, optional Member of `tqdm_class.get_lock()` to use [default: mp_lock].
Here is the function:
def process_map(fn, *iterables, **tqdm_kwargs):
"""
Equivalent of `list(map(fn, *iterables))`
driven by `concurrent.futures.ProcessPoolExecutor`.
Parameters
----------
tqdm_class : optional
`tqdm` class to use for bars [default: tqdm.auto.tqdm].
max_workers : int, optional
Maximum number of workers to spawn; passed to
`concurrent.futures.ProcessPoolExecutor.__init__`.
[default: min(32, cpu_count() + 4)].
chunksize : int, optional
Size of chunks sent to worker processes; passed to
`concurrent.futures.ProcessPoolExecutor.map`. [default: 1].
lock_name : str, optional
Member of `tqdm_class.get_lock()` to use [default: mp_lock].
"""
from concurrent.futures import ProcessPoolExecutor
if iterables and "chunksize" not in tqdm_kwargs:
# default `chunksize=1` has poor performance for large iterables
# (most time spent dispatching items to workers).
longest_iterable_len = max(map(length_hint, iterables))
if longest_iterable_len > 1000:
from warnings import warn
warn("Iterable length %d > 1000 but `chunksize` is not set."
" This may seriously degrade multiprocess performance."
" Set `chunksize=1` or more." % longest_iterable_len,
TqdmWarning, stacklevel=2)
if "lock_name" not in tqdm_kwargs:
tqdm_kwargs = tqdm_kwargs.copy()
tqdm_kwargs["lock_name"] = "mp_lock"
return _executor_map(ProcessPoolExecutor, fn, *iterables, **tqdm_kwargs) | Equivalent of `list(map(fn, *iterables))` driven by `concurrent.futures.ProcessPoolExecutor`. Parameters ---------- tqdm_class : optional `tqdm` class to use for bars [default: tqdm.auto.tqdm]. max_workers : int, optional Maximum number of workers to spawn; passed to `concurrent.futures.ProcessPoolExecutor.__init__`. [default: min(32, cpu_count() + 4)]. chunksize : int, optional Size of chunks sent to worker processes; passed to `concurrent.futures.ProcessPoolExecutor.map`. [default: 1]. lock_name : str, optional Member of `tqdm_class.get_lock()` to use [default: mp_lock]. |
1,626 | import logging
from os import getenv
from ..auto import tqdm as tqdm_auto
from .utils_worker import MonoWorker
class tqdm_slack(tqdm_auto):
"""
Standard `tqdm.auto.tqdm` but also sends updates to a Slack app.
May take a few seconds to create (`__init__`).
- create a Slack app with the `chat:write` scope & invite it to a
channel: <https://api.slack.com/authentication/basics>
- copy the bot `{token}` & `{channel}` and paste below
>>> from tqdm.contrib.slack import tqdm, trange
>>> for i in tqdm(iterable, token='{token}', channel='{channel}'):
... ...
"""
def __init__(self, *args, **kwargs):
"""
Parameters
----------
token : str, required. Slack token
[default: ${TQDM_SLACK_TOKEN}].
channel : int, required. Slack channel
[default: ${TQDM_SLACK_CHANNEL}].
mininterval : float, optional.
Minimum of [default: 1.5] to avoid rate limit.
See `tqdm.auto.tqdm.__init__` for other parameters.
"""
if not kwargs.get('disable'):
kwargs = kwargs.copy()
logging.getLogger("HTTPClient").setLevel(logging.WARNING)
self.sio = SlackIO(
kwargs.pop('token', getenv("TQDM_SLACK_TOKEN")),
kwargs.pop('channel', getenv("TQDM_SLACK_CHANNEL")))
kwargs['mininterval'] = max(1.5, kwargs.get('mininterval', 1.5))
super(tqdm_slack, self).__init__(*args, **kwargs)
def display(self, **kwargs):
super(tqdm_slack, self).display(**kwargs)
fmt = self.format_dict
if fmt.get('bar_format', None):
fmt['bar_format'] = fmt['bar_format'].replace(
'<bar/>', '`{bar:10}`').replace('{bar}', '`{bar:10u}`')
else:
fmt['bar_format'] = '{l_bar}`{bar:10}`{r_bar}'
if fmt['ascii'] is False:
fmt['ascii'] = [":black_square:", ":small_blue_diamond:", ":large_blue_diamond:",
":large_blue_square:"]
fmt['ncols'] = 336
self.sio.write(self.format_meter(**fmt))
def clear(self, *args, **kwargs):
super(tqdm_slack, self).clear(*args, **kwargs)
if not self.disable:
self.sio.write("")
The provided code snippet includes necessary dependencies for implementing the `tsrange` function. Write a Python function `def tsrange(*args, **kwargs)` to solve the following problem:
Shortcut for `tqdm.contrib.slack.tqdm(range(*args), **kwargs)`.
Here is the function:
def tsrange(*args, **kwargs):
"""Shortcut for `tqdm.contrib.slack.tqdm(range(*args), **kwargs)`."""
return tqdm_slack(range(*args), **kwargs) | Shortcut for `tqdm.contrib.slack.tqdm(range(*args), **kwargs)`. |
1,627 | import asyncio
from sys import version_info
from .std import tqdm as std_tqdm
class tqdm_asyncio(std_tqdm):
"""
Asynchronous-friendly version of tqdm.
"""
def __init__(self, iterable=None, *args, **kwargs):
super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)
self.iterable_awaitable = False
if iterable is not None:
if hasattr(iterable, "__anext__"):
self.iterable_next = iterable.__anext__
self.iterable_awaitable = True
elif hasattr(iterable, "__next__"):
self.iterable_next = iterable.__next__
else:
self.iterable_iterator = iter(iterable)
self.iterable_next = self.iterable_iterator.__next__
def __aiter__(self):
return self
async def __anext__(self):
try:
if self.iterable_awaitable:
res = await self.iterable_next()
else:
res = self.iterable_next()
self.update()
return res
except StopIteration:
self.close()
raise StopAsyncIteration
except BaseException:
self.close()
raise
def send(self, *args, **kwargs):
return self.iterable.send(*args, **kwargs)
def as_completed(cls, fs, *, loop=None, timeout=None, total=None, **tqdm_kwargs):
"""
Wrapper for `asyncio.as_completed`.
"""
if total is None:
total = len(fs)
kwargs = {}
if version_info[:2] < (3, 10):
kwargs['loop'] = loop
yield from cls(asyncio.as_completed(fs, timeout=timeout, **kwargs),
total=total, **tqdm_kwargs)
async def gather(cls, *fs, loop=None, timeout=None, total=None, **tqdm_kwargs):
"""
Wrapper for `asyncio.gather`.
"""
async def wrap_awaitable(i, f):
return i, await f
ifs = [wrap_awaitable(i, f) for i, f in enumerate(fs)]
res = [await f for f in cls.as_completed(ifs, loop=loop, timeout=timeout,
total=total, **tqdm_kwargs)]
return [i for _, i in sorted(res)]
The provided code snippet includes necessary dependencies for implementing the `tarange` function. Write a Python function `def tarange(*args, **kwargs)` to solve the following problem:
A shortcut for `tqdm.asyncio.tqdm(range(*args), **kwargs)`.
Here is the function:
def tarange(*args, **kwargs):
"""
A shortcut for `tqdm.asyncio.tqdm(range(*args), **kwargs)`.
"""
return tqdm_asyncio(range(*args), **kwargs) | A shortcut for `tqdm.asyncio.tqdm(range(*args), **kwargs)`. |
1,628 | import re
import sys
import tkinter
import tkinter.ttk as ttk
from warnings import warn
from .std import TqdmExperimentalWarning, TqdmWarning
from .std import tqdm as std_tqdm
class tqdm_tk(std_tqdm): # pragma: no cover
"""
Experimental Tkinter GUI version of tqdm!
Note: Window interactivity suffers if `tqdm_tk` is not running within
a Tkinter mainloop and values are generated infrequently. In this case,
consider calling `tqdm_tk.refresh()` frequently in the Tk thread.
"""
# TODO: @classmethod: write()?
def __init__(self, *args, **kwargs):
"""
This class accepts the following parameters *in addition* to
the parameters accepted by `tqdm`.
Parameters
----------
grab : bool, optional
Grab the input across all windows of the process.
tk_parent : `tkinter.Wm`, optional
Parent Tk window.
cancel_callback : Callable, optional
Create a cancel button and set `cancel_callback` to be called
when the cancel or window close button is clicked.
"""
kwargs = kwargs.copy()
kwargs['gui'] = True
# convert disable = None to False
kwargs['disable'] = bool(kwargs.get('disable', False))
self._warn_leave = 'leave' in kwargs
grab = kwargs.pop('grab', False)
tk_parent = kwargs.pop('tk_parent', None)
self._cancel_callback = kwargs.pop('cancel_callback', None)
super(tqdm_tk, self).__init__(*args, **kwargs)
if self.disable:
return
if tk_parent is None: # Discover parent widget
try:
tk_parent = tkinter._default_root
except AttributeError:
raise AttributeError(
"`tk_parent` required when using `tkinter.NoDefaultRoot()`")
if tk_parent is None: # use new default root window as display
self._tk_window = tkinter.Tk()
else: # some other windows already exist
self._tk_window = tkinter.Toplevel()
else:
self._tk_window = tkinter.Toplevel(tk_parent)
warn("GUI is experimental/alpha", TqdmExperimentalWarning, stacklevel=2)
self._tk_dispatching = self._tk_dispatching_helper()
self._tk_window.protocol("WM_DELETE_WINDOW", self.cancel)
self._tk_window.wm_title(self.desc)
self._tk_window.wm_attributes("-topmost", 1)
self._tk_window.after(0, lambda: self._tk_window.wm_attributes("-topmost", 0))
self._tk_n_var = tkinter.DoubleVar(self._tk_window, value=0)
self._tk_text_var = tkinter.StringVar(self._tk_window)
pbar_frame = ttk.Frame(self._tk_window, padding=5)
pbar_frame.pack()
_tk_label = ttk.Label(pbar_frame, textvariable=self._tk_text_var,
wraplength=600, anchor="center", justify="center")
_tk_label.pack()
self._tk_pbar = ttk.Progressbar(
pbar_frame, variable=self._tk_n_var, length=450)
if self.total is not None:
self._tk_pbar.configure(maximum=self.total)
else:
self._tk_pbar.configure(mode="indeterminate")
self._tk_pbar.pack()
if self._cancel_callback is not None:
_tk_button = ttk.Button(pbar_frame, text="Cancel", command=self.cancel)
_tk_button.pack()
if grab:
self._tk_window.grab_set()
def close(self):
if self.disable:
return
self.disable = True
with self.get_lock():
self._instances.remove(self)
def _close():
self._tk_window.after('idle', self._tk_window.destroy)
if not self._tk_dispatching:
self._tk_window.update()
self._tk_window.protocol("WM_DELETE_WINDOW", _close)
# if leave is set but we are self-dispatching, the left window is
# totally unresponsive unless the user manually dispatches
if not self.leave:
_close()
elif not self._tk_dispatching:
if self._warn_leave:
warn("leave flag ignored if not in tkinter mainloop",
TqdmWarning, stacklevel=2)
_close()
def clear(self, *_, **__):
pass
def display(self, *_, **__):
self._tk_n_var.set(self.n)
d = self.format_dict
# remove {bar}
d['bar_format'] = (d['bar_format'] or "{l_bar}<bar/>{r_bar}").replace(
"{bar}", "<bar/>")
msg = self.format_meter(**d)
if '<bar/>' in msg:
msg = "".join(re.split(r'\|?<bar/>\|?', msg, 1))
self._tk_text_var.set(msg)
if not self._tk_dispatching:
self._tk_window.update()
def set_description(self, desc=None, refresh=True):
self.set_description_str(desc, refresh)
def set_description_str(self, desc=None, refresh=True):
self.desc = desc
if not self.disable:
self._tk_window.wm_title(desc)
if refresh and not self._tk_dispatching:
self._tk_window.update()
def cancel(self):
"""
`cancel_callback()` followed by `close()`
when close/cancel buttons clicked.
"""
if self._cancel_callback is not None:
self._cancel_callback()
self.close()
def reset(self, total=None):
"""
Resets to 0 iterations for repeated use.
Parameters
----------
total : int or float, optional. Total to use for the new bar.
"""
if hasattr(self, '_tk_pbar'):
if total is None:
self._tk_pbar.configure(maximum=100, mode="indeterminate")
else:
self._tk_pbar.configure(maximum=total, mode="determinate")
super(tqdm_tk, self).reset(total=total)
def _tk_dispatching_helper():
"""determine if Tkinter mainloop is dispatching events"""
codes = {tkinter.mainloop.__code__, tkinter.Misc.mainloop.__code__}
for frame in sys._current_frames().values():
while frame:
if frame.f_code in codes:
return True
frame = frame.f_back
return False
The provided code snippet includes necessary dependencies for implementing the `ttkrange` function. Write a Python function `def ttkrange(*args, **kwargs)` to solve the following problem:
Shortcut for `tqdm.tk.tqdm(range(*args), **kwargs)`.
Here is the function:
def ttkrange(*args, **kwargs):
"""Shortcut for `tqdm.tk.tqdm(range(*args), **kwargs)`."""
return tqdm_tk(range(*args), **kwargs) | Shortcut for `tqdm.tk.tqdm(range(*args), **kwargs)`. |
1,629 | from warnings import warn
from rich.progress import (
BarColumn, Progress, ProgressColumn, Text, TimeElapsedColumn, TimeRemainingColumn, filesize)
from .std import TqdmExperimentalWarning
from .std import tqdm as std_tqdm
class tqdm_rich(std_tqdm): # pragma: no cover
"""Experimental rich.progress GUI version of tqdm!"""
# TODO: @classmethod: write()?
def __init__(self, *args, **kwargs):
"""
This class accepts the following parameters *in addition* to
the parameters accepted by `tqdm`.
Parameters
----------
progress : tuple, optional
arguments for `rich.progress.Progress()`.
options : dict, optional
keyword arguments for `rich.progress.Progress()`.
"""
kwargs = kwargs.copy()
kwargs['gui'] = True
# convert disable = None to False
kwargs['disable'] = bool(kwargs.get('disable', False))
progress = kwargs.pop('progress', None)
options = kwargs.pop('options', {}).copy()
super(tqdm_rich, self).__init__(*args, **kwargs)
if self.disable:
return
warn("rich is experimental/alpha", TqdmExperimentalWarning, stacklevel=2)
d = self.format_dict
if progress is None:
progress = (
"[progress.description]{task.description}"
"[progress.percentage]{task.percentage:>4.0f}%",
BarColumn(bar_width=None),
FractionColumn(
unit_scale=d['unit_scale'], unit_divisor=d['unit_divisor']),
"[", TimeElapsedColumn(), "<", TimeRemainingColumn(),
",", RateColumn(unit=d['unit'], unit_scale=d['unit_scale'],
unit_divisor=d['unit_divisor']), "]"
)
options.setdefault('transient', not self.leave)
self._prog = Progress(*progress, **options)
self._prog.__enter__()
self._task_id = self._prog.add_task(self.desc or "", **d)
def close(self):
if self.disable:
return
super(tqdm_rich, self).close()
self._prog.__exit__(None, None, None)
def clear(self, *_, **__):
pass
def display(self, *_, **__):
if not hasattr(self, '_prog'):
return
self._prog.update(self._task_id, completed=self.n, description=self.desc)
def reset(self, total=None):
"""
Resets to 0 iterations for repeated use.
Parameters
----------
total : int or float, optional. Total to use for the new bar.
"""
if hasattr(self, '_prog'):
self._prog.reset(total=total)
super(tqdm_rich, self).reset(total=total)
The provided code snippet includes necessary dependencies for implementing the `trrange` function. Write a Python function `def trrange(*args, **kwargs)` to solve the following problem:
Shortcut for `tqdm.rich.tqdm(range(*args), **kwargs)`.
Here is the function:
def trrange(*args, **kwargs):
"""Shortcut for `tqdm.rich.tqdm(range(*args), **kwargs)`."""
return tqdm_rich(range(*args), **kwargs) | Shortcut for `tqdm.rich.tqdm(range(*args), **kwargs)`. |
1,630 | import sys
from collections import OrderedDict, defaultdict
from contextlib import contextmanager
from datetime import datetime, timedelta
from numbers import Number
from time import time
from warnings import warn
from weakref import WeakSet
from ._monitor import TMonitor
from .utils import (
CallbackIOWrapper, Comparable, DisableOnWriteError, FormatReplace, SimpleTextIOWrapper,
_is_ascii, _screen_shape_wrapper, _supports_unicode, _term_move_up, disp_len, disp_trim)
The provided code snippet includes necessary dependencies for implementing the `TRLock` function. Write a Python function `def TRLock(*args, **kwargs)` to solve the following problem:
threading RLock
Here is the function:
def TRLock(*args, **kwargs):
"""threading RLock"""
try:
from threading import RLock
return RLock(*args, **kwargs)
except (ImportError, OSError): # pragma: no cover
pass | threading RLock |
1,631 | import sys
from collections import OrderedDict, defaultdict
from contextlib import contextmanager
from datetime import datetime, timedelta
from numbers import Number
from time import time
from warnings import warn
from weakref import WeakSet
from ._monitor import TMonitor
from .utils import (
CallbackIOWrapper, Comparable, DisableOnWriteError, FormatReplace, SimpleTextIOWrapper,
_is_ascii, _screen_shape_wrapper, _supports_unicode, _term_move_up, disp_len, disp_trim)
class tqdm(Comparable):
"""
Decorate an iterable object, returning an iterator which acts exactly
like the original iterable, but prints a dynamically updating
progressbar every time a value is requested.
"""
monitor_interval = 10 # set to 0 to disable the thread
monitor = None
_instances = WeakSet()
def format_sizeof(num, suffix='', divisor=1000):
"""
Formats a number (greater than unity) with SI Order of Magnitude
prefixes.
Parameters
----------
num : float
Number ( >= 1) to format.
suffix : str, optional
Post-postfix [default: ''].
divisor : float, optional
Divisor between prefixes [default: 1000].
Returns
-------
out : str
Number with Order of Magnitude SI unit postfix.
"""
for unit in ['', 'k', 'M', 'G', 'T', 'P', 'E', 'Z']:
if abs(num) < 999.5:
if abs(num) < 99.95:
if abs(num) < 9.995:
return '{0:1.2f}'.format(num) + unit + suffix
return '{0:2.1f}'.format(num) + unit + suffix
return '{0:3.0f}'.format(num) + unit + suffix
num /= divisor
return '{0:3.1f}Y'.format(num) + suffix
def format_interval(t):
"""
Formats a number of seconds as a clock time, [H:]MM:SS
Parameters
----------
t : int
Number of seconds.
Returns
-------
out : str
[H:]MM:SS
"""
mins, s = divmod(int(t), 60)
h, m = divmod(mins, 60)
if h:
return '{0:d}:{1:02d}:{2:02d}'.format(h, m, s)
else:
return '{0:02d}:{1:02d}'.format(m, s)
def format_num(n):
"""
Intelligent scientific notation (.3g).
Parameters
----------
n : int or float or Numeric
A Number.
Returns
-------
out : str
Formatted number.
"""
f = '{0:.3g}'.format(n).replace('+0', '+').replace('-0', '-')
n = str(n)
return f if len(f) < len(n) else n
def status_printer(file):
"""
Manage the printing and in-place updating of a line of characters.
Note that if the string is longer than a line, then in-place
updating may not work (it will print a new line at each refresh).
"""
fp = file
fp_flush = getattr(fp, 'flush', lambda: None) # pragma: no cover
if fp in (sys.stderr, sys.stdout):
getattr(sys.stderr, 'flush', lambda: None)()
getattr(sys.stdout, 'flush', lambda: None)()
def fp_write(s):
fp.write(str(s))
fp_flush()
last_len = [0]
def print_status(s):
len_s = disp_len(s)
fp_write('\r' + s + (' ' * max(last_len[0] - len_s, 0)))
last_len[0] = len_s
return print_status
def format_meter(n, total, elapsed, ncols=None, prefix='', ascii=False, unit='it',
unit_scale=False, rate=None, bar_format=None, postfix=None,
unit_divisor=1000, initial=0, colour=None, **extra_kwargs):
"""
Return a string-based progress bar given some parameters
Parameters
----------
n : int or float
Number of finished iterations.
total : int or float
The expected total number of iterations. If meaningless (None),
only basic progress statistics are displayed (no ETA).
elapsed : float
Number of seconds passed since start.
ncols : int, optional
The width of the entire output message. If specified,
dynamically resizes `{bar}` to stay within this bound
[default: None]. If `0`, will not print any bar (only stats).
The fallback is `{bar:10}`.
prefix : str, optional
Prefix message (included in total width) [default: ''].
Use as {desc} in bar_format string.
ascii : bool, optional or str, optional
If not set, use unicode (smooth blocks) to fill the meter
[default: False]. The fallback is to use ASCII characters
" 123456789#".
unit : str, optional
The iteration unit [default: 'it'].
unit_scale : bool or int or float, optional
If 1 or True, the number of iterations will be printed with an
appropriate SI metric prefix (k = 10^3, M = 10^6, etc.)
[default: False]. If any other non-zero number, will scale
`total` and `n`.
rate : float, optional
Manual override for iteration rate.
If [default: None], uses n/elapsed.
bar_format : str, optional
Specify a custom bar string formatting. May impact performance.
[default: '{l_bar}{bar}{r_bar}'], where
l_bar='{desc}: {percentage:3.0f}%|' and
r_bar='| {n_fmt}/{total_fmt} [{elapsed}<{remaining}, '
'{rate_fmt}{postfix}]'
Possible vars: l_bar, bar, r_bar, n, n_fmt, total, total_fmt,
percentage, elapsed, elapsed_s, ncols, nrows, desc, unit,
rate, rate_fmt, rate_noinv, rate_noinv_fmt,
rate_inv, rate_inv_fmt, postfix, unit_divisor,
remaining, remaining_s, eta.
Note that a trailing ": " is automatically removed after {desc}
if the latter is empty.
postfix : *, optional
Similar to `prefix`, but placed at the end
(e.g. for additional stats).
Note: postfix is usually a string (not a dict) for this method,
and will if possible be set to postfix = ', ' + postfix.
However other types are supported (#382).
unit_divisor : float, optional
[default: 1000], ignored unless `unit_scale` is True.
initial : int or float, optional
The initial counter value [default: 0].
colour : str, optional
Bar colour (e.g. 'green', '#00ff00').
Returns
-------
out : Formatted meter and stats, ready to display.
"""
# sanity check: total
if total and n >= (total + 0.5): # allow float imprecision (#849)
total = None
# apply custom scale if necessary
if unit_scale and unit_scale not in (True, 1):
if total:
total *= unit_scale
n *= unit_scale
if rate:
rate *= unit_scale # by default rate = self.avg_dn / self.avg_dt
unit_scale = False
elapsed_str = tqdm.format_interval(elapsed)
# if unspecified, attempt to use rate = average speed
# (we allow manual override since predicting time is an arcane art)
if rate is None and elapsed:
rate = (n - initial) / elapsed
inv_rate = 1 / rate if rate else None
format_sizeof = tqdm.format_sizeof
rate_noinv_fmt = ((format_sizeof(rate) if unit_scale else
'{0:5.2f}'.format(rate)) if rate else '?') + unit + '/s'
rate_inv_fmt = (
(format_sizeof(inv_rate) if unit_scale else '{0:5.2f}'.format(inv_rate))
if inv_rate else '?') + 's/' + unit
rate_fmt = rate_inv_fmt if inv_rate and inv_rate > 1 else rate_noinv_fmt
if unit_scale:
n_fmt = format_sizeof(n, divisor=unit_divisor)
total_fmt = format_sizeof(total, divisor=unit_divisor) if total is not None else '?'
else:
n_fmt = str(n)
total_fmt = str(total) if total is not None else '?'
try:
postfix = ', ' + postfix if postfix else ''
except TypeError:
pass
remaining = (total - n) / rate if rate and total else 0
remaining_str = tqdm.format_interval(remaining) if rate else '?'
try:
eta_dt = (datetime.now() + timedelta(seconds=remaining)
if rate and total else datetime.utcfromtimestamp(0))
except OverflowError:
eta_dt = datetime.max
# format the stats displayed to the left and right sides of the bar
if prefix:
# old prefix setup work around
bool_prefix_colon_already = (prefix[-2:] == ": ")
l_bar = prefix if bool_prefix_colon_already else prefix + ": "
else:
l_bar = ''
r_bar = f'| {n_fmt}/{total_fmt} [{elapsed_str}<{remaining_str}, {rate_fmt}{postfix}]'
# Custom bar formatting
# Populate a dict with all available progress indicators
format_dict = {
# slight extension of self.format_dict
'n': n, 'n_fmt': n_fmt, 'total': total, 'total_fmt': total_fmt,
'elapsed': elapsed_str, 'elapsed_s': elapsed,
'ncols': ncols, 'desc': prefix or '', 'unit': unit,
'rate': inv_rate if inv_rate and inv_rate > 1 else rate,
'rate_fmt': rate_fmt, 'rate_noinv': rate,
'rate_noinv_fmt': rate_noinv_fmt, 'rate_inv': inv_rate,
'rate_inv_fmt': rate_inv_fmt,
'postfix': postfix, 'unit_divisor': unit_divisor,
'colour': colour,
# plus more useful definitions
'remaining': remaining_str, 'remaining_s': remaining,
'l_bar': l_bar, 'r_bar': r_bar, 'eta': eta_dt,
**extra_kwargs}
# total is known: we can predict some stats
if total:
# fractional and percentage progress
frac = n / total
percentage = frac * 100
l_bar += '{0:3.0f}%|'.format(percentage)
if ncols == 0:
return l_bar[:-1] + r_bar[1:]
format_dict.update(l_bar=l_bar)
if bar_format:
format_dict.update(percentage=percentage)
# auto-remove colon for empty `{desc}`
if not prefix:
bar_format = bar_format.replace("{desc}: ", '')
else:
bar_format = "{l_bar}{bar}{r_bar}"
full_bar = FormatReplace()
nobar = bar_format.format(bar=full_bar, **format_dict)
if not full_bar.format_called:
return nobar # no `{bar}`; nothing else to do
# Formatting progress bar space available for bar's display
full_bar = Bar(frac,
max(1, ncols - disp_len(nobar)) if ncols else 10,
charset=Bar.ASCII if ascii is True else ascii or Bar.UTF,
colour=colour)
if not _is_ascii(full_bar.charset) and _is_ascii(bar_format):
bar_format = str(bar_format)
res = bar_format.format(bar=full_bar, **format_dict)
return disp_trim(res, ncols) if ncols else res
elif bar_format:
# user-specified bar_format but no total
l_bar += '|'
format_dict.update(l_bar=l_bar, percentage=0)
full_bar = FormatReplace()
nobar = bar_format.format(bar=full_bar, **format_dict)
if not full_bar.format_called:
return nobar
full_bar = Bar(0,
max(1, ncols - disp_len(nobar)) if ncols else 10,
charset=Bar.BLANK, colour=colour)
res = bar_format.format(bar=full_bar, **format_dict)
return disp_trim(res, ncols) if ncols else res
else:
# no total: no progressbar, ETA, just progress stats
return (f'{(prefix + ": ") if prefix else ""}'
f'{n_fmt}{unit} [{elapsed_str}, {rate_fmt}{postfix}]')
def __new__(cls, *_, **__):
instance = object.__new__(cls)
with cls.get_lock(): # also constructs lock if non-existent
cls._instances.add(instance)
# create monitoring thread
if cls.monitor_interval and (cls.monitor is None
or not cls.monitor.report()):
try:
cls.monitor = TMonitor(cls, cls.monitor_interval)
except Exception as e: # pragma: nocover
warn("tqdm:disabling monitor support"
" (monitor_interval = 0) due to:\n" + str(e),
TqdmMonitorWarning, stacklevel=2)
cls.monitor_interval = 0
return instance
def _get_free_pos(cls, instance=None):
"""Skips specified instance."""
positions = {abs(inst.pos) for inst in cls._instances
if inst is not instance and hasattr(inst, "pos")}
return min(set(range(len(positions) + 1)).difference(positions))
def _decr_instances(cls, instance):
"""
Remove from list and reposition another unfixed bar
to fill the new gap.
This means that by default (where all nested bars are unfixed),
order is not maintained but screen flicker/blank space is minimised.
(tqdm<=4.44.1 moved ALL subsequent unfixed bars up.)
"""
with cls._lock:
try:
cls._instances.remove(instance)
except KeyError:
# if not instance.gui: # pragma: no cover
# raise
pass # py2: maybe magically removed already
# else:
if not instance.gui:
last = (instance.nrows or 20) - 1
# find unfixed (`pos >= 0`) overflow (`pos >= nrows - 1`)
instances = list(filter(
lambda i: hasattr(i, "pos") and last <= i.pos,
cls._instances))
# set first found to current `pos`
if instances:
inst = min(instances, key=lambda i: i.pos)
inst.clear(nolock=True)
inst.pos = abs(instance.pos)
def write(cls, s, file=None, end="\n", nolock=False):
"""Print a message via tqdm (without overlap with bars)."""
fp = file if file is not None else sys.stdout
with cls.external_write_mode(file=file, nolock=nolock):
# Write the message
fp.write(s)
fp.write(end)
def external_write_mode(cls, file=None, nolock=False):
"""
Disable tqdm within context and refresh tqdm when exits.
Useful when writing to standard output stream
"""
fp = file if file is not None else sys.stdout
try:
if not nolock:
cls.get_lock().acquire()
# Clear all bars
inst_cleared = []
for inst in getattr(cls, '_instances', []):
# Clear instance if in the target output file
# or if write output + tqdm output are both either
# sys.stdout or sys.stderr (because both are mixed in terminal)
if hasattr(inst, "start_t") and (inst.fp == fp or all(
f in (sys.stdout, sys.stderr) for f in (fp, inst.fp))):
inst.clear(nolock=True)
inst_cleared.append(inst)
yield
# Force refresh display of bars we cleared
for inst in inst_cleared:
inst.refresh(nolock=True)
finally:
if not nolock:
cls._lock.release()
def set_lock(cls, lock):
"""Set the global lock."""
cls._lock = lock
def get_lock(cls):
"""Get the global lock. Construct it if it does not exist."""
if not hasattr(cls, '_lock'):
cls._lock = TqdmDefaultWriteLock()
return cls._lock
def pandas(cls, **tqdm_kwargs):
"""
Registers the current `tqdm` class with
pandas.core.
( frame.DataFrame
| series.Series
| groupby.(generic.)DataFrameGroupBy
| groupby.(generic.)SeriesGroupBy
).progress_apply
A new instance will be created every time `progress_apply` is called,
and each instance will automatically `close()` upon completion.
Parameters
----------
tqdm_kwargs : arguments for the tqdm instance
Examples
--------
>>> import pandas as pd
>>> import numpy as np
>>> from tqdm import tqdm
>>> from tqdm.gui import tqdm as tqdm_gui
>>>
>>> df = pd.DataFrame(np.random.randint(0, 100, (100000, 6)))
>>> tqdm.pandas(ncols=50) # can use tqdm_gui, optional kwargs, etc
>>> # Now you can use `progress_apply` instead of `apply`
>>> df.groupby(0).progress_apply(lambda x: x**2)
References
----------
<https://stackoverflow.com/questions/18603270/\
progress-indicator-during-pandas-operations-python>
"""
from warnings import catch_warnings, simplefilter
from pandas.core.frame import DataFrame
from pandas.core.series import Series
try:
with catch_warnings():
simplefilter("ignore", category=FutureWarning)
from pandas import Panel
except ImportError: # pandas>=1.2.0
Panel = None
Rolling, Expanding = None, None
try: # pandas>=1.0.0
from pandas.core.window.rolling import _Rolling_and_Expanding
except ImportError:
try: # pandas>=0.18.0
from pandas.core.window import _Rolling_and_Expanding
except ImportError: # pandas>=1.2.0
try: # pandas>=1.2.0
from pandas.core.window.expanding import Expanding
from pandas.core.window.rolling import Rolling
_Rolling_and_Expanding = Rolling, Expanding
except ImportError: # pragma: no cover
_Rolling_and_Expanding = None
try: # pandas>=0.25.0
from pandas.core.groupby.generic import SeriesGroupBy # , NDFrameGroupBy
from pandas.core.groupby.generic import DataFrameGroupBy
except ImportError: # pragma: no cover
try: # pandas>=0.23.0
from pandas.core.groupby.groupby import DataFrameGroupBy, SeriesGroupBy
except ImportError:
from pandas.core.groupby import DataFrameGroupBy, SeriesGroupBy
try: # pandas>=0.23.0
from pandas.core.groupby.groupby import GroupBy
except ImportError: # pragma: no cover
from pandas.core.groupby import GroupBy
try: # pandas>=0.23.0
from pandas.core.groupby.groupby import PanelGroupBy
except ImportError:
try:
from pandas.core.groupby import PanelGroupBy
except ImportError: # pandas>=0.25.0
PanelGroupBy = None
tqdm_kwargs = tqdm_kwargs.copy()
deprecated_t = [tqdm_kwargs.pop('deprecated_t', None)]
def inner_generator(df_function='apply'):
def inner(df, func, *args, **kwargs):
"""
Parameters
----------
df : (DataFrame|Series)[GroupBy]
Data (may be grouped).
func : function
To be applied on the (grouped) data.
**kwargs : optional
Transmitted to `df.apply()`.
"""
# Precompute total iterations
total = tqdm_kwargs.pop("total", getattr(df, 'ngroups', None))
if total is None: # not grouped
if df_function == 'applymap':
total = df.size
elif isinstance(df, Series):
total = len(df)
elif (_Rolling_and_Expanding is None or
not isinstance(df, _Rolling_and_Expanding)):
# DataFrame or Panel
axis = kwargs.get('axis', 0)
if axis == 'index':
axis = 0
elif axis == 'columns':
axis = 1
# when axis=0, total is shape[axis1]
total = df.size // df.shape[axis]
# Init bar
if deprecated_t[0] is not None:
t = deprecated_t[0]
deprecated_t[0] = None
else:
t = cls(total=total, **tqdm_kwargs)
if len(args) > 0:
# *args intentionally not supported (see #244, #299)
TqdmDeprecationWarning(
"Except func, normal arguments are intentionally" +
" not supported by" +
" `(DataFrame|Series|GroupBy).progress_apply`." +
" Use keyword arguments instead.",
fp_write=getattr(t.fp, 'write', sys.stderr.write))
try: # pandas>=1.3.0
from pandas.core.common import is_builtin_func
except ImportError:
is_builtin_func = df._is_builtin_func
try:
func = is_builtin_func(func)
except TypeError:
pass
# Define bar updating wrapper
def wrapper(*args, **kwargs):
# update tbar correctly
# it seems `pandas apply` calls `func` twice
# on the first column/row to decide whether it can
# take a fast or slow code path; so stop when t.total==t.n
t.update(n=1 if not t.total or t.n < t.total else 0)
return func(*args, **kwargs)
# Apply the provided function (in **kwargs)
# on the df using our wrapper (which provides bar updating)
try:
return getattr(df, df_function)(wrapper, **kwargs)
finally:
t.close()
return inner
# Monkeypatch pandas to provide easy methods
# Enable custom tqdm progress in pandas!
Series.progress_apply = inner_generator()
SeriesGroupBy.progress_apply = inner_generator()
Series.progress_map = inner_generator('map')
SeriesGroupBy.progress_map = inner_generator('map')
DataFrame.progress_apply = inner_generator()
DataFrameGroupBy.progress_apply = inner_generator()
DataFrame.progress_applymap = inner_generator('applymap')
if Panel is not None:
Panel.progress_apply = inner_generator()
if PanelGroupBy is not None:
PanelGroupBy.progress_apply = inner_generator()
GroupBy.progress_apply = inner_generator()
GroupBy.progress_aggregate = inner_generator('aggregate')
GroupBy.progress_transform = inner_generator('transform')
if Rolling is not None and Expanding is not None:
Rolling.progress_apply = inner_generator()
Expanding.progress_apply = inner_generator()
elif _Rolling_and_Expanding is not None:
_Rolling_and_Expanding.progress_apply = inner_generator()
def __init__(self, iterable=None, desc=None, total=None, leave=True, file=None,
ncols=None, mininterval=0.1, maxinterval=10.0, miniters=None,
ascii=None, disable=False, unit='it', unit_scale=False,
dynamic_ncols=False, smoothing=0.3, bar_format=None, initial=0,
position=None, postfix=None, unit_divisor=1000, write_bytes=False,
lock_args=None, nrows=None, colour=None, delay=0, gui=False,
**kwargs):
"""
Parameters
----------
iterable : iterable, optional
Iterable to decorate with a progressbar.
Leave blank to manually manage the updates.
desc : str, optional
Prefix for the progressbar.
total : int or float, optional
The number of expected iterations. If unspecified,
len(iterable) is used if possible. If float("inf") or as a last
resort, only basic progress statistics are displayed
(no ETA, no progressbar).
If `gui` is True and this parameter needs subsequent updating,
specify an initial arbitrary large positive number,
e.g. 9e9.
leave : bool, optional
If [default: True], keeps all traces of the progressbar
upon termination of iteration.
If `None`, will leave only if `position` is `0`.
file : `io.TextIOWrapper` or `io.StringIO`, optional
Specifies where to output the progress messages
(default: sys.stderr). Uses `file.write(str)` and `file.flush()`
methods. For encoding, see `write_bytes`.
ncols : int, optional
The width of the entire output message. If specified,
dynamically resizes the progressbar to stay within this bound.
If unspecified, attempts to use environment width. The
fallback is a meter width of 10 and no limit for the counter and
statistics. If 0, will not print any meter (only stats).
mininterval : float, optional
Minimum progress display update interval [default: 0.1] seconds.
maxinterval : float, optional
Maximum progress display update interval [default: 10] seconds.
Automatically adjusts `miniters` to correspond to `mininterval`
after long display update lag. Only works if `dynamic_miniters`
or monitor thread is enabled.
miniters : int or float, optional
Minimum progress display update interval, in iterations.
If 0 and `dynamic_miniters`, will automatically adjust to equal
`mininterval` (more CPU efficient, good for tight loops).
If > 0, will skip display of specified number of iterations.
Tweak this and `mininterval` to get very efficient loops.
If your progress is erratic with both fast and slow iterations
(network, skipping items, etc) you should set miniters=1.
ascii : bool or str, optional
If unspecified or False, use unicode (smooth blocks) to fill
the meter. The fallback is to use ASCII characters " 123456789#".
disable : bool, optional
Whether to disable the entire progressbar wrapper
[default: False]. If set to None, disable on non-TTY.
unit : str, optional
String that will be used to define the unit of each iteration
[default: it].
unit_scale : bool or int or float, optional
If 1 or True, the number of iterations will be reduced/scaled
automatically and a metric prefix following the
International System of Units standard will be added
(kilo, mega, etc.) [default: False]. If any other non-zero
number, will scale `total` and `n`.
dynamic_ncols : bool, optional
If set, constantly alters `ncols` and `nrows` to the
environment (allowing for window resizes) [default: False].
smoothing : float, optional
Exponential moving average smoothing factor for speed estimates
(ignored in GUI mode). Ranges from 0 (average speed) to 1
(current/instantaneous speed) [default: 0.3].
bar_format : str, optional
Specify a custom bar string formatting. May impact performance.
[default: '{l_bar}{bar}{r_bar}'], where
l_bar='{desc}: {percentage:3.0f}%|' and
r_bar='| {n_fmt}/{total_fmt} [{elapsed}<{remaining}, '
'{rate_fmt}{postfix}]'
Possible vars: l_bar, bar, r_bar, n, n_fmt, total, total_fmt,
percentage, elapsed, elapsed_s, ncols, nrows, desc, unit,
rate, rate_fmt, rate_noinv, rate_noinv_fmt,
rate_inv, rate_inv_fmt, postfix, unit_divisor,
remaining, remaining_s, eta.
Note that a trailing ": " is automatically removed after {desc}
if the latter is empty.
initial : int or float, optional
The initial counter value. Useful when restarting a progress
bar [default: 0]. If using float, consider specifying `{n:.3f}`
or similar in `bar_format`, or specifying `unit_scale`.
position : int, optional
Specify the line offset to print this bar (starting from 0)
Automatic if unspecified.
Useful to manage multiple bars at once (eg, from threads).
postfix : dict or *, optional
Specify additional stats to display at the end of the bar.
Calls `set_postfix(**postfix)` if possible (dict).
unit_divisor : float, optional
[default: 1000], ignored unless `unit_scale` is True.
write_bytes : bool, optional
Whether to write bytes. If (default: False) will write unicode.
lock_args : tuple, optional
Passed to `refresh` for intermediate output
(initialisation, iterating, and updating).
nrows : int, optional
The screen height. If specified, hides nested bars outside this
bound. If unspecified, attempts to use environment height.
The fallback is 20.
colour : str, optional
Bar colour (e.g. 'green', '#00ff00').
delay : float, optional
Don't display until [default: 0] seconds have elapsed.
gui : bool, optional
WARNING: internal parameter - do not use.
Use tqdm.gui.tqdm(...) instead. If set, will attempt to use
matplotlib animations for a graphical output [default: False].
Returns
-------
out : decorated iterator.
"""
if file is None:
file = sys.stderr
if write_bytes:
# Despite coercing unicode into bytes, py2 sys.std* streams
# should have bytes written to them.
file = SimpleTextIOWrapper(
file, encoding=getattr(file, 'encoding', None) or 'utf-8')
file = DisableOnWriteError(file, tqdm_instance=self)
if disable is None and hasattr(file, "isatty") and not file.isatty():
disable = True
if total is None and iterable is not None:
try:
total = len(iterable)
except (TypeError, AttributeError):
total = None
if total == float("inf"):
# Infinite iterations, behave same as unknown
total = None
if disable:
self.iterable = iterable
self.disable = disable
with self._lock:
self.pos = self._get_free_pos(self)
self._instances.remove(self)
self.n = initial
self.total = total
self.leave = leave
return
if kwargs:
self.disable = True
with self._lock:
self.pos = self._get_free_pos(self)
self._instances.remove(self)
raise (
TqdmDeprecationWarning(
"`nested` is deprecated and automated.\n"
"Use `position` instead for manual control.\n",
fp_write=getattr(file, 'write', sys.stderr.write))
if "nested" in kwargs else
TqdmKeyError("Unknown argument(s): " + str(kwargs)))
# Preprocess the arguments
if (
(ncols is None or nrows is None) and (file in (sys.stderr, sys.stdout))
) or dynamic_ncols: # pragma: no cover
if dynamic_ncols:
dynamic_ncols = _screen_shape_wrapper()
if dynamic_ncols:
ncols, nrows = dynamic_ncols(file)
else:
_dynamic_ncols = _screen_shape_wrapper()
if _dynamic_ncols:
_ncols, _nrows = _dynamic_ncols(file)
if ncols is None:
ncols = _ncols
if nrows is None:
nrows = _nrows
if miniters is None:
miniters = 0
dynamic_miniters = True
else:
dynamic_miniters = False
if mininterval is None:
mininterval = 0
if maxinterval is None:
maxinterval = 0
if ascii is None:
ascii = not _supports_unicode(file)
if bar_format and ascii is not True and not _is_ascii(ascii):
# Convert bar format into unicode since terminal uses unicode
bar_format = str(bar_format)
if smoothing is None:
smoothing = 0
# Store the arguments
self.iterable = iterable
self.desc = desc or ''
self.total = total
self.leave = leave
self.fp = file
self.ncols = ncols
self.nrows = nrows
self.mininterval = mininterval
self.maxinterval = maxinterval
self.miniters = miniters
self.dynamic_miniters = dynamic_miniters
self.ascii = ascii
self.disable = disable
self.unit = unit
self.unit_scale = unit_scale
self.unit_divisor = unit_divisor
self.initial = initial
self.lock_args = lock_args
self.delay = delay
self.gui = gui
self.dynamic_ncols = dynamic_ncols
self.smoothing = smoothing
self._ema_dn = EMA(smoothing)
self._ema_dt = EMA(smoothing)
self._ema_miniters = EMA(smoothing)
self.bar_format = bar_format
self.postfix = None
self.colour = colour
self._time = time
if postfix:
try:
self.set_postfix(refresh=False, **postfix)
except TypeError:
self.postfix = postfix
# Init the iterations counters
self.last_print_n = initial
self.n = initial
# if nested, at initial sp() call we replace '\r' by '\n' to
# not overwrite the outer progress bar
with self._lock:
# mark fixed positions as negative
self.pos = self._get_free_pos(self) if position is None else -position
if not gui:
# Initialize the screen printer
self.sp = self.status_printer(self.fp)
if delay <= 0:
self.refresh(lock_args=self.lock_args)
# Init the time counter
self.last_print_t = self._time()
# NB: Avoid race conditions by setting start_t at the very end of init
self.start_t = self.last_print_t
def __bool__(self):
if self.total is not None:
return self.total > 0
if self.iterable is None:
raise TypeError('bool() undefined when iterable == total == None')
return bool(self.iterable)
def __len__(self):
return (
self.total if self.iterable is None
else self.iterable.shape[0] if hasattr(self.iterable, "shape")
else len(self.iterable) if hasattr(self.iterable, "__len__")
else self.iterable.__length_hint__() if hasattr(self.iterable, "__length_hint__")
else getattr(self, "total", None))
def __reversed__(self):
try:
orig = self.iterable
except AttributeError:
raise TypeError("'tqdm' object is not reversible")
else:
self.iterable = reversed(self.iterable)
return self.__iter__()
finally:
self.iterable = orig
def __contains__(self, item):
contains = getattr(self.iterable, '__contains__', None)
return contains(item) if contains is not None else item in self.__iter__()
def __enter__(self):
return self
def __exit__(self, exc_type, exc_value, traceback):
try:
self.close()
except AttributeError:
# maybe eager thread cleanup upon external error
if (exc_type, exc_value, traceback) == (None, None, None):
raise
warn("AttributeError ignored", TqdmWarning, stacklevel=2)
def __del__(self):
self.close()
def __str__(self):
return self.format_meter(**self.format_dict)
def _comparable(self):
return abs(getattr(self, "pos", 1 << 31))
def __hash__(self):
return id(self)
def __iter__(self):
"""Backward-compatibility to use: for x in tqdm(iterable)"""
# Inlining instance variables as locals (speed optimisation)
iterable = self.iterable
# If the bar is disabled, then just walk the iterable
# (note: keep this check outside the loop for performance)
if self.disable:
for obj in iterable:
yield obj
return
mininterval = self.mininterval
last_print_t = self.last_print_t
last_print_n = self.last_print_n
min_start_t = self.start_t + self.delay
n = self.n
time = self._time
try:
for obj in iterable:
yield obj
# Update and possibly print the progressbar.
# Note: does not call self.update(1) for speed optimisation.
n += 1
if n - last_print_n >= self.miniters:
cur_t = time()
dt = cur_t - last_print_t
if dt >= mininterval and cur_t >= min_start_t:
self.update(n - last_print_n)
last_print_n = self.last_print_n
last_print_t = self.last_print_t
finally:
self.n = n
self.close()
def update(self, n=1):
"""
Manually update the progress bar, useful for streams
such as reading files.
E.g.:
>>> t = tqdm(total=filesize) # Initialise
>>> for current_buffer in stream:
... ...
... t.update(len(current_buffer))
>>> t.close()
The last line is highly recommended, but possibly not necessary if
`t.update()` will be called in such a way that `filesize` will be
exactly reached and printed.
Parameters
----------
n : int or float, optional
Increment to add to the internal counter of iterations
[default: 1]. If using float, consider specifying `{n:.3f}`
or similar in `bar_format`, or specifying `unit_scale`.
Returns
-------
out : bool or None
True if a `display()` was triggered.
"""
if self.disable:
return
if n < 0:
self.last_print_n += n # for auto-refresh logic to work
self.n += n
# check counter first to reduce calls to time()
if self.n - self.last_print_n >= self.miniters:
cur_t = self._time()
dt = cur_t - self.last_print_t
if dt >= self.mininterval and cur_t >= self.start_t + self.delay:
cur_t = self._time()
dn = self.n - self.last_print_n # >= n
if self.smoothing and dt and dn:
# EMA (not just overall average)
self._ema_dn(dn)
self._ema_dt(dt)
self.refresh(lock_args=self.lock_args)
if self.dynamic_miniters:
# If no `miniters` was specified, adjust automatically to the
# maximum iteration rate seen so far between two prints.
# e.g.: After running `tqdm.update(5)`, subsequent
# calls to `tqdm.update()` will only cause an update after
# at least 5 more iterations.
if self.maxinterval and dt >= self.maxinterval:
self.miniters = dn * (self.mininterval or self.maxinterval) / dt
elif self.smoothing:
# EMA miniters update
self.miniters = self._ema_miniters(
dn * (self.mininterval / dt if self.mininterval and dt
else 1))
else:
# max iters between two prints
self.miniters = max(self.miniters, dn)
# Store old values for next call
self.last_print_n = self.n
self.last_print_t = cur_t
return True
def close(self):
"""Cleanup and (if leave=False) close the progressbar."""
if self.disable:
return
# Prevent multiple closures
self.disable = True
# decrement instance pos and remove from internal set
pos = abs(self.pos)
self._decr_instances(self)
if self.last_print_t < self.start_t + self.delay:
# haven't ever displayed; nothing to clear
return
# GUI mode
if getattr(self, 'sp', None) is None:
return
# annoyingly, _supports_unicode isn't good enough
def fp_write(s):
self.fp.write(str(s))
try:
fp_write('')
except ValueError as e:
if 'closed' in str(e):
return
raise # pragma: no cover
leave = pos == 0 if self.leave is None else self.leave
with self._lock:
if leave:
# stats for overall rate (no weighted average)
self._ema_dt = lambda: None
self.display(pos=0)
fp_write('\n')
else:
# clear previous display
if self.display(msg='', pos=pos) and not pos:
fp_write('\r')
def clear(self, nolock=False):
"""Clear current bar display."""
if self.disable:
return
if not nolock:
self._lock.acquire()
pos = abs(self.pos)
if pos < (self.nrows or 20):
self.moveto(pos)
self.sp('')
self.fp.write('\r') # place cursor back at the beginning of line
self.moveto(-pos)
if not nolock:
self._lock.release()
def refresh(self, nolock=False, lock_args=None):
"""
Force refresh the display of this bar.
Parameters
----------
nolock : bool, optional
If `True`, does not lock.
If [default: `False`]: calls `acquire()` on internal lock.
lock_args : tuple, optional
Passed to internal lock's `acquire()`.
If specified, will only `display()` if `acquire()` returns `True`.
"""
if self.disable:
return
if not nolock:
if lock_args:
if not self._lock.acquire(*lock_args):
return False
else:
self._lock.acquire()
self.display()
if not nolock:
self._lock.release()
return True
def unpause(self):
"""Restart tqdm timer from last print time."""
if self.disable:
return
cur_t = self._time()
self.start_t += cur_t - self.last_print_t
self.last_print_t = cur_t
def reset(self, total=None):
"""
Resets to 0 iterations for repeated use.
Consider combining with `leave=True`.
Parameters
----------
total : int or float, optional. Total to use for the new bar.
"""
self.n = 0
if total is not None:
self.total = total
if self.disable:
return
self.last_print_n = 0
self.last_print_t = self.start_t = self._time()
self._ema_dn = EMA(self.smoothing)
self._ema_dt = EMA(self.smoothing)
self._ema_miniters = EMA(self.smoothing)
self.refresh()
def set_description(self, desc=None, refresh=True):
"""
Set/modify description of the progress bar.
Parameters
----------
desc : str, optional
refresh : bool, optional
Forces refresh [default: True].
"""
self.desc = desc + ': ' if desc else ''
if refresh:
self.refresh()
def set_description_str(self, desc=None, refresh=True):
"""Set/modify description without ': ' appended."""
self.desc = desc or ''
if refresh:
self.refresh()
def set_postfix(self, ordered_dict=None, refresh=True, **kwargs):
"""
Set/modify postfix (additional stats)
with automatic formatting based on datatype.
Parameters
----------
ordered_dict : dict or OrderedDict, optional
refresh : bool, optional
Forces refresh [default: True].
kwargs : dict, optional
"""
# Sort in alphabetical order to be more deterministic
postfix = OrderedDict([] if ordered_dict is None else ordered_dict)
for key in sorted(kwargs.keys()):
postfix[key] = kwargs[key]
# Preprocess stats according to datatype
for key in postfix.keys():
# Number: limit the length of the string
if isinstance(postfix[key], Number):
postfix[key] = self.format_num(postfix[key])
# Else for any other type, try to get the string conversion
elif not isinstance(postfix[key], str):
postfix[key] = str(postfix[key])
# Else if it's a string, don't need to preprocess anything
# Stitch together to get the final postfix
self.postfix = ', '.join(key + '=' + postfix[key].strip()
for key in postfix.keys())
if refresh:
self.refresh()
def set_postfix_str(self, s='', refresh=True):
"""
Postfix without dictionary expansion, similar to prefix handling.
"""
self.postfix = str(s)
if refresh:
self.refresh()
def moveto(self, n):
# TODO: private method
self.fp.write('\n' * n + _term_move_up() * -n)
getattr(self.fp, 'flush', lambda: None)()
def format_dict(self):
"""Public API for read-only member access."""
if self.disable and not hasattr(self, 'unit'):
return defaultdict(lambda: None, {
'n': self.n, 'total': self.total, 'elapsed': 0, 'unit': 'it'})
if self.dynamic_ncols:
self.ncols, self.nrows = self.dynamic_ncols(self.fp)
return {
'n': self.n, 'total': self.total,
'elapsed': self._time() - self.start_t if hasattr(self, 'start_t') else 0,
'ncols': self.ncols, 'nrows': self.nrows, 'prefix': self.desc,
'ascii': self.ascii, 'unit': self.unit, 'unit_scale': self.unit_scale,
'rate': self._ema_dn() / self._ema_dt() if self._ema_dt() else None,
'bar_format': self.bar_format, 'postfix': self.postfix,
'unit_divisor': self.unit_divisor, 'initial': self.initial,
'colour': self.colour}
def display(self, msg=None, pos=None):
"""
Use `self.sp` to display `msg` in the specified `pos`.
Consider overloading this function when inheriting to use e.g.:
`self.some_frontend(**self.format_dict)` instead of `self.sp`.
Parameters
----------
msg : str, optional. What to display (default: `repr(self)`).
pos : int, optional. Position to `moveto`
(default: `abs(self.pos)`).
"""
if pos is None:
pos = abs(self.pos)
nrows = self.nrows or 20
if pos >= nrows - 1:
if pos >= nrows:
return False
if msg or msg is None: # override at `nrows - 1`
msg = " ... (more hidden) ..."
if not hasattr(self, "sp"):
raise TqdmDeprecationWarning(
"Please use `tqdm.gui.tqdm(...)`"
" instead of `tqdm(..., gui=True)`\n",
fp_write=getattr(self.fp, 'write', sys.stderr.write))
if pos:
self.moveto(pos)
self.sp(self.__str__() if msg is None else msg)
if pos:
self.moveto(-pos)
return True
def wrapattr(cls, stream, method, total=None, bytes=True, **tqdm_kwargs):
"""
stream : file-like object.
method : str, "read" or "write". The result of `read()` and
the first argument of `write()` should have a `len()`.
>>> with tqdm.wrapattr(file_obj, "read", total=file_obj.size) as fobj:
... while True:
... chunk = fobj.read(chunk_size)
... if not chunk:
... break
"""
with cls(total=total, **tqdm_kwargs) as t:
if bytes:
t.unit = "B"
t.unit_scale = True
t.unit_divisor = 1024
yield CallbackIOWrapper(t.update, stream, method)
The provided code snippet includes necessary dependencies for implementing the `trange` function. Write a Python function `def trange(*args, **kwargs)` to solve the following problem:
Shortcut for tqdm(range(*args), **kwargs).
Here is the function:
def trange(*args, **kwargs):
"""Shortcut for tqdm(range(*args), **kwargs)."""
return tqdm(range(*args), **kwargs) | Shortcut for tqdm(range(*args), **kwargs). |
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