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int64 0
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| package
stringlengths 2
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⌀ | name
stringlengths 1
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stringlengths 0
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stringlengths 2
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⌀ | embed_func_code
listlengths 768
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36,925 | nlpaug.util.action | Action | null | class Action:
INSERT = 'insert'
SUBSTITUTE = 'substitute'
DELETE = 'delete'
SWAP = 'swap'
SPLIT = 'split'
ALIGN = 'align'
CROP = 'crop'
SEQUENTIAL = 'sequential'
SOMETIMES = 'sometimes'
@staticmethod
def getall():
return [Action.INSERT, Action.SUBSTITUTE, Action.SWAP, Action.DELETE, Action.SPLIT, Action.CROP,
Action.SEQUENTIAL, Action.SOMETIMES, Action.ALIGN]
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|
36,926 | nlpaug.util.action | getall | null | @staticmethod
def getall():
return [Action.INSERT, Action.SUBSTITUTE, Action.SWAP, Action.DELETE, Action.SPLIT, Action.CROP,
Action.SEQUENTIAL, Action.SOMETIMES, Action.ALIGN]
| () | [
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|
36,927 | nlpaug.base_augmenter | Augmenter | null | class Augmenter:
def __init__(self, name, method, action, aug_min, aug_max, aug_p=0.1, device='cpu',
include_detail=False, verbose=0):
self.name = name
self.action = action
self.method = method
self.aug_min = aug_min
self.aug_max = aug_max
self.aug_p = aug_p
self.device = device
self.verbose = verbose
self.include_detail = include_detail
self.parent_change_seq = 0
self._validate_augmenter(method, action)
@classmethod
def _validate_augmenter(cls, method, action):
if method not in Method.getall():
raise ValueError(
'Method must be one of {} while {} is passed'.format(Method.getall(), method))
if action not in Action.getall():
raise ValueError(
'Action must be one of {} while {} is passed'.format(Action.getall(), action))
def augment(self, data, n=1, num_thread=1):
"""
:param object/list data: Data for augmentation. It can be list of data (e.g. list
of string or numpy) or single element (e.g. string or numpy). Numpy format only
supports audio or spectrogram data. For text data, only support string or
list of string.
:param int n: Default is 1. Number of unique augmented output. Will be force to 1
if input is list of data
:param int num_thread: Number of thread for data augmentation. Use this option
when you are using CPU and n is larger than 1
:return: Augmented data
>>> augmented_data = aug.augment(data)
"""
max_retry_times = 3 # max loop times of n to generate expected number of outputs
aug_num = 1 if isinstance(data, list) else n
expected_output_num = len(data) if isinstance(data, list) else aug_num
exceptions = self._validate_augment(data)
# TODO: Handle multiple exceptions
for exception in exceptions:
if isinstance(exception, WarningException):
if self.verbose > 0:
exception.output()
# Return empty value per data type
if isinstance(data, str):
return []
elif isinstance(data, list):
return []
elif isinstance(data, np.ndarray):
return np.array([])
return []
action_fx = None
clean_data = self.clean(data)
if self.action == Action.INSERT:
action_fx = self.insert
elif self.action == Action.SUBSTITUTE:
action_fx = self.substitute
elif self.action == Action.SWAP:
action_fx = self.swap
elif self.action == Action.DELETE:
action_fx = self.delete
elif self.action == Action.CROP:
action_fx = self.crop
elif self.action == Action.SPLIT:
action_fx = self.split
for _ in range(max_retry_times+1):
augmented_results = []
# By design, it is one-to-many
if self.__class__.__name__ in ['LambadaAug']:
augmented_results = action_fx(clean_data, n=n)
# PyTorch's augmenter
elif self.__class__.__name__ in ['AbstSummAug', 'BackTranslationAug', 'ContextualWordEmbsAug', 'ContextualWordEmbsForSentenceAug']:
for _ in range(aug_num):
result = action_fx(clean_data)
if isinstance(result, list):
augmented_results.extend(result)
else:
augmented_results.append(result)
# Multi inputs
elif isinstance(data, list):
# Single Thread
if num_thread == 1:
augmented_results = [action_fx(d) for d in clean_data]
# Multi Thread
else:
batch_data = [data[i:i+num_thread] for i in range(0, len(data), num_thread)]
for mini_batch_data in batch_data:
augmented_results.extend(self._parallel_augments(self.augment, mini_batch_data))
# Single input with/without multiple input
else:
# Single Thread
if num_thread == 1:
augmented_results = [action_fx(clean_data) for _ in range(n)]
# Multi Thread
else:
augmented_results = self._parallel_augment(action_fx, clean_data, n=n, num_thread=num_thread)
if len(augmented_results) >= expected_output_num:
break
if len(augmented_results) == 0:
# if not result, return itself
if isinstance(data, list):
return data
# Single input with/without multiple input
else:
return [data]
if isinstance(augmented_results, pd.DataFrame):
return augmented_results
else:
if isinstance(data, list):
return augmented_results
else:
return augmented_results[:n]
# return augmented_results
# def augments(self, data, num_thread=1):
# """
# :param list data: List of data
# :param int num_thread: Number of thread for data augmentation. Use this option when you are using CPU and
# n is larger than 1. Do NOT support GPU process.
# :return: Augmented data (Does not follow original order)
# >>> augmented_data = aug.augment(data)
# """
# n = 1
# augmented_results = []
# if num_thread == 1 or self.device == 'cuda':
# for d in data:
# augmented_result = self.augment(data=d, n=n, num_thread=1) # TOOD: cuda does not support mulithread
# if n == 1:
# augmented_results.append(augmented_result)
# else:
# augmented_results.extend(augmented_result)
# else:
# batch_data = [data[i:i+num_thread] for i in range(0, len(data), num_thread)]
# for i in range(n):
# for mini_batch_data in batch_data:
# augmented_results.extend(self._parallel_augments(self.augment, mini_batch_data))
# return augmented_results
@classmethod
def _validate_augment(cls, data):
if data is None or len(data) == 0:
return [WarningException(name=WarningName.INPUT_VALIDATION_WARNING,
code=WarningCode.WARNING_CODE_001, msg=WarningMessage.LENGTH_IS_ZERO)]
return []
@classmethod
def _parallel_augment(cls, action_fx, data, n, num_thread=2):
pool = ThreadPool(num_thread)
results = pool.map(action_fx, [data] * n)
pool.close()
pool.join()
return results
@classmethod
def _parallel_augments(cls, action_fx, data):
pool = ThreadPool(len(data))
results = pool.map(action_fx, data)
pool.close()
pool.join()
return results
def insert(self, data):
raise NotImplementedError
def substitute(self, data):
raise NotImplementedError
def swap(self, data):
raise NotImplementedError
def delete(self, data):
raise NotImplementedError
def crop(self, data):
raise NotImplementedError
def split(self, data):
raise NotImplementedError
def tokenizer(self, tokens):
raise NotImplementedError
def evaluate(self):
raise NotImplementedError
@classmethod
def is_duplicate(cls, dataset, data):
raise NotImplementedError
@classmethod
def prob(cls):
return np.random.random()
@classmethod
def sample(cls, x, num=None):
if isinstance(x, list):
return random.sample(x, num)
elif isinstance(x, int):
return np.random.randint(1, x-1)
@classmethod
def clean(cls, data):
raise NotImplementedError
def _generate_aug_cnt(self, size, aug_min, aug_max, aug_p=None):
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|
36,928 | nlpaug.base_augmenter | __init__ | null | def __init__(self, name, method, action, aug_min, aug_max, aug_p=0.1, device='cpu',
include_detail=False, verbose=0):
self.name = name
self.action = action
self.method = method
self.aug_min = aug_min
self.aug_max = aug_max
self.aug_p = aug_p
self.device = device
self.verbose = verbose
self.include_detail = include_detail
self.parent_change_seq = 0
self._validate_augmenter(method, action)
| (self, name, method, action, aug_min, aug_max, aug_p=0.1, device='cpu', include_detail=False, verbose=0) | [
0.015052883885800838,
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|
36,929 | nlpaug.base_augmenter | __str__ | null | def __str__(self):
return 'Name:{}, Action:{}, Method:{}'.format(self.name, self.action, self.method)
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|
36,930 | nlpaug.base_augmenter | _generate_aug_cnt | null | def _generate_aug_cnt(self, size, aug_min, aug_max, aug_p=None):
if aug_p is not None:
percent = aug_p
elif self.aug_p:
percent = self.aug_p
else:
percent = 0.3
cnt = int(math.ceil(percent * size))
if aug_min and cnt < aug_min:
return aug_min
if aug_max and cnt > aug_max:
return aug_max
return cnt
| (self, size, aug_min, aug_max, aug_p=None) | [
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|
36,931 | nlpaug.base_augmenter | _get_random_aug_idxes | null | def _get_random_aug_idxes(self, data):
aug_cnt = self.generate_aug_cnt(len(data))
idxes = self.pre_skip_aug(data)
if len(idxes) < aug_cnt:
aug_cnt = len(idxes)
aug_idxes = self.sample(idxes, aug_cnt)
return aug_idxes
| (self, data) | [
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|
36,932 | nlpaug.base_augmenter | augment |
:param object/list data: Data for augmentation. It can be list of data (e.g. list
of string or numpy) or single element (e.g. string or numpy). Numpy format only
supports audio or spectrogram data. For text data, only support string or
list of string.
:param int n: Default is 1. Number of unique augmented output. Will be force to 1
if input is list of data
:param int num_thread: Number of thread for data augmentation. Use this option
when you are using CPU and n is larger than 1
:return: Augmented data
>>> augmented_data = aug.augment(data)
| def augment(self, data, n=1, num_thread=1):
"""
:param object/list data: Data for augmentation. It can be list of data (e.g. list
of string or numpy) or single element (e.g. string or numpy). Numpy format only
supports audio or spectrogram data. For text data, only support string or
list of string.
:param int n: Default is 1. Number of unique augmented output. Will be force to 1
if input is list of data
:param int num_thread: Number of thread for data augmentation. Use this option
when you are using CPU and n is larger than 1
:return: Augmented data
>>> augmented_data = aug.augment(data)
"""
max_retry_times = 3 # max loop times of n to generate expected number of outputs
aug_num = 1 if isinstance(data, list) else n
expected_output_num = len(data) if isinstance(data, list) else aug_num
exceptions = self._validate_augment(data)
# TODO: Handle multiple exceptions
for exception in exceptions:
if isinstance(exception, WarningException):
if self.verbose > 0:
exception.output()
# Return empty value per data type
if isinstance(data, str):
return []
elif isinstance(data, list):
return []
elif isinstance(data, np.ndarray):
return np.array([])
return []
action_fx = None
clean_data = self.clean(data)
if self.action == Action.INSERT:
action_fx = self.insert
elif self.action == Action.SUBSTITUTE:
action_fx = self.substitute
elif self.action == Action.SWAP:
action_fx = self.swap
elif self.action == Action.DELETE:
action_fx = self.delete
elif self.action == Action.CROP:
action_fx = self.crop
elif self.action == Action.SPLIT:
action_fx = self.split
for _ in range(max_retry_times+1):
augmented_results = []
# By design, it is one-to-many
if self.__class__.__name__ in ['LambadaAug']:
augmented_results = action_fx(clean_data, n=n)
# PyTorch's augmenter
elif self.__class__.__name__ in ['AbstSummAug', 'BackTranslationAug', 'ContextualWordEmbsAug', 'ContextualWordEmbsForSentenceAug']:
for _ in range(aug_num):
result = action_fx(clean_data)
if isinstance(result, list):
augmented_results.extend(result)
else:
augmented_results.append(result)
# Multi inputs
elif isinstance(data, list):
# Single Thread
if num_thread == 1:
augmented_results = [action_fx(d) for d in clean_data]
# Multi Thread
else:
batch_data = [data[i:i+num_thread] for i in range(0, len(data), num_thread)]
for mini_batch_data in batch_data:
augmented_results.extend(self._parallel_augments(self.augment, mini_batch_data))
# Single input with/without multiple input
else:
# Single Thread
if num_thread == 1:
augmented_results = [action_fx(clean_data) for _ in range(n)]
# Multi Thread
else:
augmented_results = self._parallel_augment(action_fx, clean_data, n=n, num_thread=num_thread)
if len(augmented_results) >= expected_output_num:
break
if len(augmented_results) == 0:
# if not result, return itself
if isinstance(data, list):
return data
# Single input with/without multiple input
else:
return [data]
if isinstance(augmented_results, pd.DataFrame):
return augmented_results
else:
if isinstance(data, list):
return augmented_results
else:
return augmented_results[:n]
# return augmented_results
| (self, data, n=1, num_thread=1) | [
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|
36,933 | nlpaug.base_augmenter | crop | null | def crop(self, data):
raise NotImplementedError
| (self, data) | [
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|
36,934 | nlpaug.base_augmenter | delete | null | def delete(self, data):
raise NotImplementedError
| (self, data) | [
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|
36,935 | nlpaug.base_augmenter | evaluate | null | def evaluate(self):
raise NotImplementedError
| (self) | [
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|
36,936 | nlpaug.base_augmenter | generate_aug_cnt | null | def generate_aug_cnt(self, size, aug_p=None):
if size == 0:
return 0
return self._generate_aug_cnt(size, self.aug_min, self.aug_max, aug_p)
| (self, size, aug_p=None) | [
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|
36,937 | nlpaug.base_augmenter | generate_aug_idxes | null | def generate_aug_idxes(self, inputs):
aug_cnt = self.generate_aug_cnt(len(inputs))
token_idxes = [i for i, _ in enumerate(inputs)]
aug_idxes = self.sample(token_idxes, aug_cnt)
return aug_idxes
| (self, inputs) | [
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|
36,938 | nlpaug.base_augmenter | insert | null | def insert(self, data):
raise NotImplementedError
| (self, data) | [
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|
36,939 | nlpaug.base_augmenter | split | null | def split(self, data):
raise NotImplementedError
| (self, data) | [
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|
36,940 | nlpaug.base_augmenter | substitute | null | def substitute(self, data):
raise NotImplementedError
| (self, data) | [
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0.043005626648664474
]
|
36,941 | nlpaug.base_augmenter | swap | null | def swap(self, data):
raise NotImplementedError
| (self, data) | [
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|
36,942 | nlpaug.base_augmenter | tokenizer | null | def tokenizer(self, tokens):
raise NotImplementedError
| (self, tokens) | [
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|
36,943 | nlpaug.util.method | Method | null | class Method:
CHAR = 'char'
WORD = 'word'
SENTENCE = 'sentence'
SPECTROGRAM = 'spectrogram'
AUDIO = 'audio'
FLOW = 'flow'
@staticmethod
def getall():
return [Method.CHAR, Method.WORD, Method.SENTENCE, Method.AUDIO, Method.SPECTROGRAM, Method.FLOW]
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|
36,944 | nlpaug.util.method | getall | null | @staticmethod
def getall():
return [Method.CHAR, Method.WORD, Method.SENTENCE, Method.AUDIO, Method.SPECTROGRAM, Method.FLOW]
| () | [
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|
36,945 | multiprocessing.dummy | Pool | null | def Pool(processes=None, initializer=None, initargs=()):
from ..pool import ThreadPool
return ThreadPool(processes, initializer, initargs)
| (processes=None, initializer=None, initargs=()) | [
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36,946 | nlpaug.util.exception.warning | WarningCode | null | class WarningCode:
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WARNING_CODE_002 = 'W002'
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|
36,947 | nlpaug.util.exception.warning | WarningException | null | class WarningException(ExceptionInfo):
def __init__(self, name, code, msg):
super(WarningException, self).__init__(name=name, exp_type=ExceptionType.WARNING, code=code, msg=msg)
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|
36,948 | nlpaug.util.exception.warning | __init__ | null | def __init__(self, name, code, msg):
super(WarningException, self).__init__(name=name, exp_type=ExceptionType.WARNING, code=code, msg=msg)
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|
36,949 | nlpaug.util.exception.exception_info | output | null | def output(self):
msg = '[{}] Name:{}, Code:{}, Message:{}'.format(self.exp_type, self.name, self.code, self.msg)
print(msg)
| (self) | [
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|
36,950 | nlpaug.util.exception.warning | WarningMessage | null | class WarningMessage:
LENGTH_IS_ZERO = 'Length of input is 0'
NO_WORD = 'No other word except stop words and OOV. Returning input data without augmentation'
DEPRECATED = 'Warning: {} will be removed after {} release. Change to use {}'
| () | [
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|
36,951 | nlpaug.util.exception.warning | WarningName | null | class WarningName:
INPUT_VALIDATION_WARNING = 'Input validation issue'
OUT_OF_VOCABULARY = 'Out of vocabulary issue'
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|
36,964 | sphinx_autodoc_typehints | InsertIndexInfo | InsertIndexInfo(insert_index: 'int', found_param: 'bool' = False, found_return: 'bool' = False, found_directive: 'bool' = False) | class InsertIndexInfo:
insert_index: int
found_param: bool = False
found_return: bool = False
found_directive: bool = False
| (insert_index: int, found_param: bool = False, found_return: bool = False, found_directive: bool = False) -> None | [
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|
36,965 | sphinx_autodoc_typehints | __eq__ | null | """Sphinx autodoc type hints."""
from __future__ import annotations
import ast
import importlib
import inspect
import re
import sys
import textwrap
import types
from dataclasses import dataclass
from typing import TYPE_CHECKING, Any, AnyStr, Callable, ForwardRef, NewType, TypeVar, get_type_hints
from docutils import nodes
from docutils.frontend import OptionParser
from sphinx.ext.autodoc.mock import mock
from sphinx.parsers import RSTParser
from sphinx.util import logging, rst
from sphinx.util.inspect import signature as sphinx_signature
from sphinx.util.inspect import stringify_signature
from .parser import parse
from .patches import install_patches
from .version import __version__
if TYPE_CHECKING:
from ast import FunctionDef, Module, stmt
from docutils.nodes import Node
from docutils.parsers.rst import states
from sphinx.application import Sphinx
from sphinx.config import Config
from sphinx.environment import BuildEnvironment
from sphinx.ext.autodoc import Options
_LOGGER = logging.getLogger(__name__)
_PYDATA_ANNOTATIONS = {"Any", "AnyStr", "Callable", "ClassVar", "Literal", "NoReturn", "Optional", "Tuple", "Union"}
# types has a bunch of things like ModuleType where ModuleType.__module__ is
# "builtins" and ModuleType.__name__ is "module", so we have to check for this.
_TYPES_DICT = {getattr(types, name): name for name in types.__all__}
# Prefer FunctionType to LambdaType (they are synonymous)
_TYPES_DICT[types.FunctionType] = "FunctionType"
def _get_types_type(obj: Any) -> str | None:
try:
return _TYPES_DICT.get(obj)
except Exception: # noqa: BLE001
# e.g. exception: unhashable type
return None
| (self, other) | [
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|
36,967 | sphinx_autodoc_typehints | __repr__ | null | def format_annotation(annotation: Any, config: Config) -> str: # noqa: C901, PLR0911, PLR0912, PLR0915, PLR0914
"""
Format the annotation.
:param annotation:
:param config:
:return:
"""
typehints_formatter: Callable[..., str] | None = getattr(config, "typehints_formatter", None)
if typehints_formatter is not None:
formatted = typehints_formatter(annotation, config)
if formatted is not None:
return formatted
# Special cases
if isinstance(annotation, ForwardRef):
return annotation.__forward_arg__
if annotation is None or annotation is type(None):
return ":py:obj:`None`"
if annotation is Ellipsis:
return ":py:data:`...<Ellipsis>`"
if isinstance(annotation, tuple):
return format_internal_tuple(annotation, config)
try:
module = get_annotation_module(annotation)
class_name = get_annotation_class_name(annotation, module)
args = get_annotation_args(annotation, module, class_name)
except ValueError:
return str(annotation).strip("'")
# Redirect all typing_extensions types to the stdlib typing module
if module == "typing_extensions":
module = "typing"
if module == "_io":
module = "io"
full_name = f"{module}.{class_name}" if module != "builtins" else class_name
fully_qualified: bool = getattr(config, "typehints_fully_qualified", False)
prefix = "" if fully_qualified or full_name == class_name else "~"
role = "data" if module == "typing" and class_name in _PYDATA_ANNOTATIONS else "class"
args_format = "\\[{}]"
formatted_args: str | None = ""
always_use_bars_union: bool = getattr(config, "always_use_bars_union", True)
is_bars_union = full_name == "types.UnionType" or (
always_use_bars_union and type(annotation).__qualname__ == "_UnionGenericAlias"
)
if is_bars_union:
full_name = ""
# Some types require special handling
if full_name == "typing.NewType":
args_format = f"\\(``{annotation.__name__}``, {{}})"
role = "class" if sys.version_info >= (3, 10) else "func"
elif full_name in {"typing.TypeVar", "typing.ParamSpec"}:
params = {k: getattr(annotation, f"__{k}__") for k in ("bound", "covariant", "contravariant")}
params = {k: v for k, v in params.items() if v}
if "bound" in params:
params["bound"] = f" {format_annotation(params['bound'], config)}"
args_format = f"\\(``{annotation.__name__}``{', {}' if args else ''}"
if params:
args_format += "".join(f", {k}={v}" for k, v in params.items())
args_format += ")"
formatted_args = None if args else args_format
elif full_name == "typing.Optional":
args = tuple(x for x in args if x is not type(None))
elif full_name in {"typing.Union", "types.UnionType"} and type(None) in args:
if len(args) == 2: # noqa: PLR2004
full_name = "typing.Optional"
role = "data"
args = tuple(x for x in args if x is not type(None))
else:
simplify_optional_unions: bool = getattr(config, "simplify_optional_unions", True)
if not simplify_optional_unions:
full_name = "typing.Optional"
role = "data"
args_format = f"\\[:py:data:`{prefix}typing.Union`\\[{{}}]]"
args = tuple(x for x in args if x is not type(None))
elif full_name in {"typing.Callable", "collections.abc.Callable"} and args and args[0] is not ...:
fmt = [format_annotation(arg, config) for arg in args]
formatted_args = f"\\[\\[{', '.join(fmt[:-1])}], {fmt[-1]}]"
elif full_name == "typing.Literal":
formatted_args = f"\\[{', '.join(f'``{arg!r}``' for arg in args)}]"
elif is_bars_union:
return " | ".join([format_annotation(arg, config) for arg in args])
if args and not formatted_args:
try:
iter(args)
except TypeError:
fmt = [format_annotation(args, config)]
else:
fmt = [format_annotation(arg, config) for arg in args]
formatted_args = args_format.format(", ".join(fmt))
escape = "\\ " if formatted_args else ""
return f":py:{role}:`{prefix}{full_name}`{escape}{formatted_args}"
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|
36,968 | typing | NewType | NewType creates simple unique types with almost zero
runtime overhead. NewType(name, tp) is considered a subtype of tp
by static type checkers. At runtime, NewType(name, tp) returns
a dummy callable that simply returns its argument. Usage::
UserId = NewType('UserId', int)
def name_by_id(user_id: UserId) -> str:
...
UserId('user') # Fails type check
name_by_id(42) # Fails type check
name_by_id(UserId(42)) # OK
num = UserId(5) + 1 # type: int
| class NewType:
"""NewType creates simple unique types with almost zero
runtime overhead. NewType(name, tp) is considered a subtype of tp
by static type checkers. At runtime, NewType(name, tp) returns
a dummy callable that simply returns its argument. Usage::
UserId = NewType('UserId', int)
def name_by_id(user_id: UserId) -> str:
...
UserId('user') # Fails type check
name_by_id(42) # Fails type check
name_by_id(UserId(42)) # OK
num = UserId(5) + 1 # type: int
"""
def __init__(self, name, tp):
self.__qualname__ = name
if '.' in name:
name = name.rpartition('.')[-1]
self.__name__ = name
self.__supertype__ = tp
def_mod = _caller()
if def_mod != 'typing':
self.__module__ = def_mod
def __repr__(self):
return f'{self.__module__}.{self.__qualname__}'
def __call__(self, x):
return x
def __reduce__(self):
return self.__qualname__
def __or__(self, other):
return Union[self, other]
def __ror__(self, other):
return Union[other, self]
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|
36,969 | typing | __call__ | null | def __call__(self, x):
return x
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|
36,970 | typing | __init__ | null | def __init__(self, name, tp):
self.__qualname__ = name
if '.' in name:
name = name.rpartition('.')[-1]
self.__name__ = name
self.__supertype__ = tp
def_mod = _caller()
if def_mod != 'typing':
self.__module__ = def_mod
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|
36,972 | typing | __reduce__ | null | def __reduce__(self):
return self.__qualname__
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36,973 | typing | __repr__ | null | def __repr__(self):
return f'{self.__module__}.{self.__qualname__}'
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|
36,975 | docutils.frontend | OptionParser |
Settings parser for command-line and library use.
The `settings_spec` specification here and in other Docutils components
are merged to build the set of command-line options and runtime settings
for this process.
Common settings (defined below) and component-specific settings must not
conflict. Short options are reserved for common settings, and components
are restricted to using long options.
Deprecated.
Will be replaced by a subclass of `argparse.ArgumentParser`.
| class OptionParser(optparse.OptionParser, docutils.SettingsSpec):
"""
Settings parser for command-line and library use.
The `settings_spec` specification here and in other Docutils components
are merged to build the set of command-line options and runtime settings
for this process.
Common settings (defined below) and component-specific settings must not
conflict. Short options are reserved for common settings, and components
are restricted to using long options.
Deprecated.
Will be replaced by a subclass of `argparse.ArgumentParser`.
"""
standard_config_files = [
'/etc/docutils.conf', # system-wide
'./docutils.conf', # project-specific
'~/.docutils'] # user-specific
"""Docutils configuration files, using ConfigParser syntax.
Filenames will be tilde-expanded later. Later files override earlier ones.
"""
threshold_choices = 'info 1 warning 2 error 3 severe 4 none 5'.split()
"""Possible inputs for for --report and --halt threshold values."""
thresholds = {'info': 1, 'warning': 2, 'error': 3, 'severe': 4, 'none': 5}
"""Lookup table for --report and --halt threshold values."""
booleans = {'1': True, 'on': True, 'yes': True, 'true': True, '0': False,
'off': False, 'no': False, 'false': False, '': False}
"""Lookup table for boolean configuration file settings."""
default_error_encoding = (getattr(sys.stderr, 'encoding', None)
or io._locale_encoding # noqa
or 'ascii')
default_error_encoding_error_handler = 'backslashreplace'
settings_spec = (
'General Docutils Options',
None,
(('Output destination name. Obsoletes the <destination> '
'positional argument. Default: None (stdout).',
['--output'], {'metavar': '<destination>'}),
('Specify the document title as metadata.',
['--title'], {'metavar': '<title>'}),
('Include a "Generated by Docutils" credit and link.',
['--generator', '-g'], {'action': 'store_true',
'validator': validate_boolean}),
('Do not include a generator credit.',
['--no-generator'], {'action': 'store_false', 'dest': 'generator'}),
('Include the date at the end of the document (UTC).',
['--date', '-d'], {'action': 'store_const', 'const': '%Y-%m-%d',
'dest': 'datestamp'}),
('Include the time & date (UTC).',
['--time', '-t'], {'action': 'store_const',
'const': '%Y-%m-%d %H:%M UTC',
'dest': 'datestamp'}),
('Do not include a datestamp of any kind.',
['--no-datestamp'], {'action': 'store_const', 'const': None,
'dest': 'datestamp'}),
('Base directory for absolute paths when reading '
'from the local filesystem. Default "/".',
['--root-prefix'],
{'default': '/', 'metavar': '<path>'}),
('Include a "View document source" link.',
['--source-link', '-s'], {'action': 'store_true',
'validator': validate_boolean}),
('Use <URL> for a source link; implies --source-link.',
['--source-url'], {'metavar': '<URL>'}),
('Do not include a "View document source" link.',
['--no-source-link'],
{'action': 'callback', 'callback': store_multiple,
'callback_args': ('source_link', 'source_url')}),
('Link from section headers to TOC entries. (default)',
['--toc-entry-backlinks'],
{'dest': 'toc_backlinks', 'action': 'store_const', 'const': 'entry',
'default': 'entry'}),
('Link from section headers to the top of the TOC.',
['--toc-top-backlinks'],
{'dest': 'toc_backlinks', 'action': 'store_const', 'const': 'top'}),
('Disable backlinks to the table of contents.',
['--no-toc-backlinks'],
{'dest': 'toc_backlinks', 'action': 'store_false'}),
('Link from footnotes/citations to references. (default)',
['--footnote-backlinks'],
{'action': 'store_true', 'default': True,
'validator': validate_boolean}),
('Disable backlinks from footnotes and citations.',
['--no-footnote-backlinks'],
{'dest': 'footnote_backlinks', 'action': 'store_false'}),
('Enable section numbering by Docutils. (default)',
['--section-numbering'],
{'action': 'store_true', 'dest': 'sectnum_xform',
'default': True, 'validator': validate_boolean}),
('Disable section numbering by Docutils.',
['--no-section-numbering'],
{'action': 'store_false', 'dest': 'sectnum_xform'}),
('Remove comment elements from the document tree.',
['--strip-comments'],
{'action': 'store_true', 'validator': validate_boolean}),
('Leave comment elements in the document tree. (default)',
['--leave-comments'],
{'action': 'store_false', 'dest': 'strip_comments'}),
('Remove all elements with classes="<class>" from the document tree. '
'Warning: potentially dangerous; use with caution. '
'(Multiple-use option.)',
['--strip-elements-with-class'],
{'action': 'append', 'dest': 'strip_elements_with_classes',
'metavar': '<class>', 'validator': validate_strip_class}),
('Remove all classes="<class>" attributes from elements in the '
'document tree. Warning: potentially dangerous; use with caution. '
'(Multiple-use option.)',
['--strip-class'],
{'action': 'append', 'dest': 'strip_classes',
'metavar': '<class>', 'validator': validate_strip_class}),
('Report system messages at or higher than <level>: "info" or "1", '
'"warning"/"2" (default), "error"/"3", "severe"/"4", "none"/"5"',
['--report', '-r'], {'choices': threshold_choices, 'default': 2,
'dest': 'report_level', 'metavar': '<level>',
'validator': validate_threshold}),
('Report all system messages. (Same as "--report=1".)',
['--verbose', '-v'], {'action': 'store_const', 'const': 1,
'dest': 'report_level'}),
('Report no system messages. (Same as "--report=5".)',
['--quiet', '-q'], {'action': 'store_const', 'const': 5,
'dest': 'report_level'}),
('Halt execution at system messages at or above <level>. '
'Levels as in --report. Default: 4 (severe).',
['--halt'], {'choices': threshold_choices, 'dest': 'halt_level',
'default': 4, 'metavar': '<level>',
'validator': validate_threshold}),
('Halt at the slightest problem. Same as "--halt=info".',
['--strict'], {'action': 'store_const', 'const': 1,
'dest': 'halt_level'}),
('Enable a non-zero exit status for non-halting system messages at '
'or above <level>. Default: 5 (disabled).',
['--exit-status'], {'choices': threshold_choices,
'dest': 'exit_status_level',
'default': 5, 'metavar': '<level>',
'validator': validate_threshold}),
('Enable debug-level system messages and diagnostics.',
['--debug'], {'action': 'store_true',
'validator': validate_boolean}),
('Disable debug output. (default)',
['--no-debug'], {'action': 'store_false', 'dest': 'debug'}),
('Send the output of system messages to <file>.',
['--warnings'], {'dest': 'warning_stream', 'metavar': '<file>'}),
('Enable Python tracebacks when Docutils is halted.',
['--traceback'], {'action': 'store_true', 'default': None,
'validator': validate_boole | (components=(), defaults=None, read_config_files=False, *args, **kwargs) | [
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|
36,976 | docutils.frontend | __init__ | Set up OptionParser instance.
`components` is a list of Docutils components each containing a
``.settings_spec`` attribute.
`defaults` is a mapping of setting default overrides.
| def __init__(self, components=(), defaults=None, read_config_files=False,
*args, **kwargs):
"""Set up OptionParser instance.
`components` is a list of Docutils components each containing a
``.settings_spec`` attribute.
`defaults` is a mapping of setting default overrides.
"""
self.lists = {}
"""Set of list-type settings."""
self.config_files = []
"""List of paths of applied configuration files."""
self.relative_path_settings = ['warning_stream'] # will be modified
warnings.warn('The frontend.OptionParser class will be replaced '
'by a subclass of argparse.ArgumentParser '
'in Docutils 0.21 or later.',
DeprecationWarning, stacklevel=2)
super().__init__(option_class=Option, add_help_option=None,
formatter=optparse.TitledHelpFormatter(width=78),
*args, **kwargs)
if not self.version:
self.version = self.version_template
self.components = (self, *components)
self.populate_from_components(self.components)
self.defaults.update(defaults or {})
if read_config_files and not self.defaults['_disable_config']:
try:
config_settings = self.get_standard_config_settings()
except ValueError as err:
self.error(err)
self.defaults.update(config_settings.__dict__)
| (self, components=(), defaults=None, read_config_files=False, *args, **kwargs) | [
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|
36,977 | optparse | _add_help_option | null | def _add_help_option(self):
self.add_option("-h", "--help",
action="help",
help=_("show this help message and exit"))
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|
36,978 | optparse | _add_version_option | null | def _add_version_option(self):
self.add_option("--version",
action="version",
help=_("show program's version number and exit"))
| (self) | [
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|
36,979 | optparse | _check_conflict | null | def _check_conflict(self, option):
conflict_opts = []
for opt in option._short_opts:
if opt in self._short_opt:
conflict_opts.append((opt, self._short_opt[opt]))
for opt in option._long_opts:
if opt in self._long_opt:
conflict_opts.append((opt, self._long_opt[opt]))
if conflict_opts:
handler = self.conflict_handler
if handler == "error":
raise OptionConflictError(
"conflicting option string(s): %s"
% ", ".join([co[0] for co in conflict_opts]),
option)
elif handler == "resolve":
for (opt, c_option) in conflict_opts:
if opt.startswith("--"):
c_option._long_opts.remove(opt)
del self._long_opt[opt]
else:
c_option._short_opts.remove(opt)
del self._short_opt[opt]
if not (c_option._short_opts or c_option._long_opts):
c_option.container.option_list.remove(c_option)
| (self, option) | [
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]
|
36,980 | optparse | _create_option_list | null | def _create_option_list(self):
self.option_list = []
self.option_groups = []
self._create_option_mappings()
| (self) | [
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|
36,981 | optparse | _create_option_mappings | null | def _create_option_mappings(self):
# For use by OptionParser constructor -- create the main
# option mappings used by this OptionParser and all
# OptionGroups that it owns.
self._short_opt = {} # single letter -> Option instance
self._long_opt = {} # long option -> Option instance
self.defaults = {} # maps option dest -> default value
| (self) | [
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|
36,982 | optparse | _get_all_options | null | def _get_all_options(self):
options = self.option_list[:]
for group in self.option_groups:
options.extend(group.option_list)
return options
| (self) | [
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|
36,983 | optparse | _get_args | null | def _get_args(self, args):
if args is None:
return sys.argv[1:]
else:
return args[:] # don't modify caller's list
| (self, args) | [
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|
36,984 | optparse | _init_parsing_state | null | def _init_parsing_state(self):
# These are set in parse_args() for the convenience of callbacks.
self.rargs = None
self.largs = None
self.values = None
| (self) | [
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|
36,985 | optparse | _match_long_opt | _match_long_opt(opt : string) -> string
Determine which long option string 'opt' matches, ie. which one
it is an unambiguous abbreviation for. Raises BadOptionError if
'opt' doesn't unambiguously match any long option string.
| def _match_long_opt(self, opt):
"""_match_long_opt(opt : string) -> string
Determine which long option string 'opt' matches, ie. which one
it is an unambiguous abbreviation for. Raises BadOptionError if
'opt' doesn't unambiguously match any long option string.
"""
return _match_abbrev(opt, self._long_opt)
| (self, opt) | [
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|
36,986 | optparse | _populate_option_list | null | def _populate_option_list(self, option_list, add_help=True):
if self.standard_option_list:
self.add_options(self.standard_option_list)
if option_list:
self.add_options(option_list)
if self.version:
self._add_version_option()
if add_help:
self._add_help_option()
| (self, option_list, add_help=True) | [
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|
36,987 | optparse | _process_args | _process_args(largs : [string],
rargs : [string],
values : Values)
Process command-line arguments and populate 'values', consuming
options and arguments from 'rargs'. If 'allow_interspersed_args' is
false, stop at the first non-option argument. If true, accumulate any
interspersed non-option arguments in 'largs'.
| def _process_args(self, largs, rargs, values):
"""_process_args(largs : [string],
rargs : [string],
values : Values)
Process command-line arguments and populate 'values', consuming
options and arguments from 'rargs'. If 'allow_interspersed_args' is
false, stop at the first non-option argument. If true, accumulate any
interspersed non-option arguments in 'largs'.
"""
while rargs:
arg = rargs[0]
# We handle bare "--" explicitly, and bare "-" is handled by the
# standard arg handler since the short arg case ensures that the
# len of the opt string is greater than 1.
if arg == "--":
del rargs[0]
return
elif arg[0:2] == "--":
# process a single long option (possibly with value(s))
self._process_long_opt(rargs, values)
elif arg[:1] == "-" and len(arg) > 1:
# process a cluster of short options (possibly with
# value(s) for the last one only)
self._process_short_opts(rargs, values)
elif self.allow_interspersed_args:
largs.append(arg)
del rargs[0]
else:
return # stop now, leave this arg in rargs
# Say this is the original argument list:
# [arg0, arg1, ..., arg(i-1), arg(i), arg(i+1), ..., arg(N-1)]
# ^
# (we are about to process arg(i)).
#
# Then rargs is [arg(i), ..., arg(N-1)] and largs is a *subset* of
# [arg0, ..., arg(i-1)] (any options and their arguments will have
# been removed from largs).
#
# The while loop will usually consume 1 or more arguments per pass.
# If it consumes 1 (eg. arg is an option that takes no arguments),
# then after _process_arg() is done the situation is:
#
# largs = subset of [arg0, ..., arg(i)]
# rargs = [arg(i+1), ..., arg(N-1)]
#
# If allow_interspersed_args is false, largs will always be
# *empty* -- still a subset of [arg0, ..., arg(i-1)], but
# not a very interesting subset!
| (self, largs, rargs, values) | [
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|
36,988 | optparse | _process_long_opt | null | def _process_long_opt(self, rargs, values):
arg = rargs.pop(0)
# Value explicitly attached to arg? Pretend it's the next
# argument.
if "=" in arg:
(opt, next_arg) = arg.split("=", 1)
rargs.insert(0, next_arg)
had_explicit_value = True
else:
opt = arg
had_explicit_value = False
opt = self._match_long_opt(opt)
option = self._long_opt[opt]
if option.takes_value():
nargs = option.nargs
if len(rargs) < nargs:
self.error(ngettext(
"%(option)s option requires %(number)d argument",
"%(option)s option requires %(number)d arguments",
nargs) % {"option": opt, "number": nargs})
elif nargs == 1:
value = rargs.pop(0)
else:
value = tuple(rargs[0:nargs])
del rargs[0:nargs]
elif had_explicit_value:
self.error(_("%s option does not take a value") % opt)
else:
value = None
option.process(opt, value, values, self)
| (self, rargs, values) | [
0.007306561339646578,
0.039491962641477585,
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0.06656277179718018,
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|
36,989 | optparse | _process_short_opts | null | def _process_short_opts(self, rargs, values):
arg = rargs.pop(0)
stop = False
i = 1
for ch in arg[1:]:
opt = "-" + ch
option = self._short_opt.get(opt)
i += 1 # we have consumed a character
if not option:
raise BadOptionError(opt)
if option.takes_value():
# Any characters left in arg? Pretend they're the
# next arg, and stop consuming characters of arg.
if i < len(arg):
rargs.insert(0, arg[i:])
stop = True
nargs = option.nargs
if len(rargs) < nargs:
self.error(ngettext(
"%(option)s option requires %(number)d argument",
"%(option)s option requires %(number)d arguments",
nargs) % {"option": opt, "number": nargs})
elif nargs == 1:
value = rargs.pop(0)
else:
value = tuple(rargs[0:nargs])
del rargs[0:nargs]
else: # option doesn't take a value
value = None
option.process(opt, value, values, self)
if stop:
break
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|
36,990 | optparse | _share_option_mappings | null | def _share_option_mappings(self, parser):
# For use by OptionGroup constructor -- use shared option
# mappings from the OptionParser that owns this OptionGroup.
self._short_opt = parser._short_opt
self._long_opt = parser._long_opt
self.defaults = parser.defaults
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|
36,991 | optparse | add_option | add_option(Option)
add_option(opt_str, ..., kwarg=val, ...)
| def add_option(self, *args, **kwargs):
"""add_option(Option)
add_option(opt_str, ..., kwarg=val, ...)
"""
if isinstance(args[0], str):
option = self.option_class(*args, **kwargs)
elif len(args) == 1 and not kwargs:
option = args[0]
if not isinstance(option, Option):
raise TypeError("not an Option instance: %r" % option)
else:
raise TypeError("invalid arguments")
self._check_conflict(option)
self.option_list.append(option)
option.container = self
for opt in option._short_opts:
self._short_opt[opt] = option
for opt in option._long_opts:
self._long_opt[opt] = option
if option.dest is not None: # option has a dest, we need a default
if option.default is not NO_DEFAULT:
self.defaults[option.dest] = option.default
elif option.dest not in self.defaults:
self.defaults[option.dest] = None
return option
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|
36,992 | optparse | add_option_group | null | def add_option_group(self, *args, **kwargs):
# XXX lots of overlap with OptionContainer.add_option()
if isinstance(args[0], str):
group = OptionGroup(self, *args, **kwargs)
elif len(args) == 1 and not kwargs:
group = args[0]
if not isinstance(group, OptionGroup):
raise TypeError("not an OptionGroup instance: %r" % group)
if group.parser is not self:
raise ValueError("invalid OptionGroup (wrong parser)")
else:
raise TypeError("invalid arguments")
self.option_groups.append(group)
return group
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]
|
36,993 | optparse | add_options | null | def add_options(self, option_list):
for option in option_list:
self.add_option(option)
| (self, option_list) | [
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|
36,994 | docutils.frontend | check_args | null | def check_args(self, args):
source = destination = None
if args:
source = args.pop(0)
if source == '-': # means stdin
source = None
if args:
destination = args.pop(0)
if destination == '-': # means stdout
destination = None
if args:
self.error('Maximum 2 arguments allowed.')
if source and source == destination:
self.error('Do not specify the same file for both source and '
'destination. It will clobber the source file.')
return source, destination
| (self, args) | [
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|
36,995 | docutils.frontend | check_values | Store positional arguments as runtime settings. | def check_values(self, values, args):
"""Store positional arguments as runtime settings."""
values._source, values._destination = self.check_args(args)
make_paths_absolute(values.__dict__, self.relative_path_settings)
values._config_files = self.config_files
return values
| (self, values, args) | [
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|
36,996 | optparse | destroy |
Declare that you are done with this OptionParser. This cleans up
reference cycles so the OptionParser (and all objects referenced by
it) can be garbage-collected promptly. After calling destroy(), the
OptionParser is unusable.
| def destroy(self):
"""
Declare that you are done with this OptionParser. This cleans up
reference cycles so the OptionParser (and all objects referenced by
it) can be garbage-collected promptly. After calling destroy(), the
OptionParser is unusable.
"""
OptionContainer.destroy(self)
for group in self.option_groups:
group.destroy()
del self.option_list
del self.option_groups
del self.formatter
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|
36,997 | optparse | disable_interspersed_args | Set parsing to stop on the first non-option. Use this if
you have a command processor which runs another command that
has options of its own and you want to make sure these options
don't get confused.
| def disable_interspersed_args(self):
"""Set parsing to stop on the first non-option. Use this if
you have a command processor which runs another command that
has options of its own and you want to make sure these options
don't get confused.
"""
self.allow_interspersed_args = False
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|
36,998 | optparse | enable_interspersed_args | Set parsing to not stop on the first non-option, allowing
interspersing switches with command arguments. This is the
default behavior. See also disable_interspersed_args() and the
class documentation description of the attribute
allow_interspersed_args. | def enable_interspersed_args(self):
"""Set parsing to not stop on the first non-option, allowing
interspersing switches with command arguments. This is the
default behavior. See also disable_interspersed_args() and the
class documentation description of the attribute
allow_interspersed_args."""
self.allow_interspersed_args = True
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|
36,999 | optparse | error | error(msg : string)
Print a usage message incorporating 'msg' to stderr and exit.
If you override this in a subclass, it should not return -- it
should either exit or raise an exception.
| def error(self, msg):
"""error(msg : string)
Print a usage message incorporating 'msg' to stderr and exit.
If you override this in a subclass, it should not return -- it
should either exit or raise an exception.
"""
self.print_usage(sys.stderr)
self.exit(2, "%s: error: %s\n" % (self.get_prog_name(), msg))
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|
37,000 | optparse | exit | null | def exit(self, status=0, msg=None):
if msg:
sys.stderr.write(msg)
sys.exit(status)
| (self, status=0, msg=None) | [
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|
37,001 | optparse | expand_prog_name | null | def expand_prog_name(self, s):
return s.replace("%prog", self.get_prog_name())
| (self, s) | [
0.007886132225394249,
0.008945463225245476,
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|
37,002 | optparse | format_description | null | def format_description(self, formatter):
return formatter.format_description(self.get_description())
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|
37,003 | optparse | format_epilog | null | def format_epilog(self, formatter):
return formatter.format_epilog(self.epilog)
| (self, formatter) | [
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|
37,004 | optparse | format_help | null | def format_help(self, formatter=None):
if formatter is None:
formatter = self.formatter
result = []
if self.usage:
result.append(self.get_usage() + "\n")
if self.description:
result.append(self.format_description(formatter) + "\n")
result.append(self.format_option_help(formatter))
result.append(self.format_epilog(formatter))
return "".join(result)
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|
37,005 | optparse | format_option_help | null | def format_option_help(self, formatter=None):
if formatter is None:
formatter = self.formatter
formatter.store_option_strings(self)
result = []
result.append(formatter.format_heading(_("Options")))
formatter.indent()
if self.option_list:
result.append(OptionContainer.format_option_help(self, formatter))
result.append("\n")
for group in self.option_groups:
result.append(group.format_help(formatter))
result.append("\n")
formatter.dedent()
# Drop the last "\n", or the header if no options or option groups:
return "".join(result[:-1])
| (self, formatter=None) | [
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|
37,006 | docutils.frontend | get_config_file_settings | Returns a dictionary containing appropriate config file settings. | def get_config_file_settings(self, config_file):
"""Returns a dictionary containing appropriate config file settings."""
config_parser = ConfigParser()
# parse config file, add filename if found and successfully read.
applied = set()
with warnings.catch_warnings():
warnings.filterwarnings('ignore', category=DeprecationWarning)
self.config_files += config_parser.read(config_file, self)
settings = Values()
for component in self.components:
if not component:
continue
for section in (tuple(component.config_section_dependencies or ())
+ (component.config_section,)):
if section in applied:
continue
applied.add(section)
if config_parser.has_section(section):
settings.update(config_parser[section], self)
make_paths_absolute(settings.__dict__,
self.relative_path_settings,
os.path.dirname(config_file))
return settings.__dict__
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|
37,007 | docutils.frontend | get_default_values | Needed to get custom `Values` instances. | def get_default_values(self):
"""Needed to get custom `Values` instances."""
with warnings.catch_warnings():
warnings.filterwarnings('ignore', category=DeprecationWarning)
defaults = Values(self.defaults)
defaults._config_files = self.config_files
return defaults
| (self) | [
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|
37,008 | optparse | get_description | null | def get_description(self):
return self.expand_prog_name(self.description)
| (self) | [
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|
37,009 | optparse | get_option | null | def get_option(self, opt_str):
return (self._short_opt.get(opt_str) or
self._long_opt.get(opt_str))
| (self, opt_str) | [
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|
37,010 | docutils.frontend | get_option_by_dest |
Get an option by its dest.
If you're supplying a dest which is shared by several options,
it is undefined which option of those is returned.
A KeyError is raised if there is no option with the supplied
dest.
| def get_option_by_dest(self, dest):
"""
Get an option by its dest.
If you're supplying a dest which is shared by several options,
it is undefined which option of those is returned.
A KeyError is raised if there is no option with the supplied
dest.
"""
for group in self.option_groups + [self]:
for option in group.option_list:
if option.dest == dest:
return option
raise KeyError('No option with dest == %r.' % dest)
| (self, dest) | [
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|
37,011 | optparse | get_option_group | null | def get_option_group(self, opt_str):
option = (self._short_opt.get(opt_str) or
self._long_opt.get(opt_str))
if option and option.container is not self:
return option.container
return None
| (self, opt_str) | [
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|
37,012 | optparse | get_prog_name | null | def get_prog_name(self):
if self.prog is None:
return os.path.basename(sys.argv[0])
else:
return self.prog
| (self) | [
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|
37,013 | docutils.frontend | get_standard_config_settings | null | def get_standard_config_settings(self):
with warnings.catch_warnings():
warnings.filterwarnings('ignore', category=DeprecationWarning)
settings = Values()
for filename in self.get_standard_config_files():
settings.update(self.get_config_file_settings(filename), self)
return settings
| (self) | [
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|
37,014 | optparse | get_usage | null | def get_usage(self):
if self.usage:
return self.formatter.format_usage(
self.expand_prog_name(self.usage))
else:
return ""
| (self) | [
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|
37,015 | optparse | get_version | null | def get_version(self):
if self.version:
return self.expand_prog_name(self.version)
else:
return ""
| (self) | [
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|
37,016 | optparse | has_option | null | def has_option(self, opt_str):
return (opt_str in self._short_opt or
opt_str in self._long_opt)
| (self, opt_str) | [
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|
37,017 | optparse | parse_args |
parse_args(args : [string] = sys.argv[1:],
values : Values = None)
-> (values : Values, args : [string])
Parse the command-line options found in 'args' (default:
sys.argv[1:]). Any errors result in a call to 'error()', which
by default prints the usage message to stderr and calls
sys.exit() with an error message. On success returns a pair
(values, args) where 'values' is a Values instance (with all
your option values) and 'args' is the list of arguments left
over after parsing options.
| def parse_args(self, args=None, values=None):
"""
parse_args(args : [string] = sys.argv[1:],
values : Values = None)
-> (values : Values, args : [string])
Parse the command-line options found in 'args' (default:
sys.argv[1:]). Any errors result in a call to 'error()', which
by default prints the usage message to stderr and calls
sys.exit() with an error message. On success returns a pair
(values, args) where 'values' is a Values instance (with all
your option values) and 'args' is the list of arguments left
over after parsing options.
"""
rargs = self._get_args(args)
if values is None:
values = self.get_default_values()
# Store the halves of the argument list as attributes for the
# convenience of callbacks:
# rargs
# the rest of the command-line (the "r" stands for
# "remaining" or "right-hand")
# largs
# the leftover arguments -- ie. what's left after removing
# options and their arguments (the "l" stands for "leftover"
# or "left-hand")
self.rargs = rargs
self.largs = largs = []
self.values = values
try:
stop = self._process_args(largs, rargs, values)
except (BadOptionError, OptionValueError) as err:
self.error(str(err))
args = largs + rargs
return self.check_values(values, args)
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|
37,018 | docutils.frontend | populate_from_components | Collect settings specification from components.
For each component, populate from the `SettingsSpec.settings_spec`
structure, then from the `SettingsSpec.settings_defaults` dictionary.
After all components have been processed, check for and populate from
each component's `SettingsSpec.settings_default_overrides` dictionary.
| def populate_from_components(self, components):
"""Collect settings specification from components.
For each component, populate from the `SettingsSpec.settings_spec`
structure, then from the `SettingsSpec.settings_defaults` dictionary.
After all components have been processed, check for and populate from
each component's `SettingsSpec.settings_default_overrides` dictionary.
"""
for component in components:
if component is None:
continue
settings_spec = component.settings_spec
self.relative_path_settings.extend(
component.relative_path_settings)
for i in range(0, len(settings_spec), 3):
title, description, option_spec = settings_spec[i:i+3]
if title:
group = optparse.OptionGroup(self, title, description)
self.add_option_group(group)
else:
group = self # single options
for (help_text, option_strings, kwargs) in option_spec:
option = group.add_option(help=help_text, *option_strings,
**kwargs)
if kwargs.get('action') == 'append':
self.lists[option.dest] = True
if component.settings_defaults:
self.defaults.update(component.settings_defaults)
for component in components:
if component and component.settings_default_overrides:
self.defaults.update(component.settings_default_overrides)
| (self, components) | [
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|
37,019 | optparse | print_help | print_help(file : file = stdout)
Print an extended help message, listing all options and any
help text provided with them, to 'file' (default stdout).
| def print_help(self, file=None):
"""print_help(file : file = stdout)
Print an extended help message, listing all options and any
help text provided with them, to 'file' (default stdout).
"""
if file is None:
file = sys.stdout
file.write(self.format_help())
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|
37,020 | optparse | print_usage | print_usage(file : file = stdout)
Print the usage message for the current program (self.usage) to
'file' (default stdout). Any occurrence of the string "%prog" in
self.usage is replaced with the name of the current program
(basename of sys.argv[0]). Does nothing if self.usage is empty
or not defined.
| def print_usage(self, file=None):
"""print_usage(file : file = stdout)
Print the usage message for the current program (self.usage) to
'file' (default stdout). Any occurrence of the string "%prog" in
self.usage is replaced with the name of the current program
(basename of sys.argv[0]). Does nothing if self.usage is empty
or not defined.
"""
if self.usage:
print(self.get_usage(), file=file)
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|
37,021 | optparse | print_version | print_version(file : file = stdout)
Print the version message for this program (self.version) to
'file' (default stdout). As with print_usage(), any occurrence
of "%prog" in self.version is replaced by the current program's
name. Does nothing if self.version is empty or undefined.
| def print_version(self, file=None):
"""print_version(file : file = stdout)
Print the version message for this program (self.version) to
'file' (default stdout). As with print_usage(), any occurrence
of "%prog" in self.version is replaced by the current program's
name. Does nothing if self.version is empty or undefined.
"""
if self.version:
print(self.get_version(), file=file)
| (self, file=None) | [
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|
37,022 | optparse | remove_option | null | def remove_option(self, opt_str):
option = self._short_opt.get(opt_str)
if option is None:
option = self._long_opt.get(opt_str)
if option is None:
raise ValueError("no such option %r" % opt_str)
for opt in option._short_opts:
del self._short_opt[opt]
for opt in option._long_opts:
del self._long_opt[opt]
option.container.option_list.remove(option)
| (self, opt_str) | [
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0.06248893961310387,
0.019937966018915176,
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0.002195762237533927,
0.06512831151485443,
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0.0058984640054404736,
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|
37,023 | optparse | set_conflict_handler | null | def set_conflict_handler(self, handler):
if handler not in ("error", "resolve"):
raise ValueError("invalid conflict_resolution value %r" % handler)
self.conflict_handler = handler
| (self, handler) | [
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|
37,024 | optparse | set_default | null | def set_default(self, dest, value):
self.defaults[dest] = value
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|
37,025 | optparse | set_defaults | null | def set_defaults(self, **kwargs):
self.defaults.update(kwargs)
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|
37,026 | docutils.frontend | set_defaults_from_dict | null | def set_defaults_from_dict(self, defaults):
# deprecated, will be removed
warnings.warn('OptionParser.set_defaults_from_dict() will be removed '
'in Docutils 0.22 or with the switch to ArgumentParser.',
DeprecationWarning, stacklevel=2)
self.defaults.update(defaults)
| (self, defaults) | [
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|
37,027 | optparse | set_description | null | def set_description(self, description):
self.description = description
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|
37,028 | optparse | set_process_default_values | null | def set_process_default_values(self, process):
self.process_default_values = process
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|
37,029 | optparse | set_usage | null | def set_usage(self, usage):
if usage is None:
self.usage = _("%prog [options]")
elif usage is SUPPRESS_USAGE:
self.usage = None
# For backwards compatibility with Optik 1.3 and earlier.
elif usage.lower().startswith("usage: "):
self.usage = usage[7:]
else:
self.usage = usage
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|
37,030 | sphinx.parsers | RSTParser | A reST parser for Sphinx. | class RSTParser(docutils.parsers.rst.Parser, Parser):
"""A reST parser for Sphinx."""
def get_transforms(self) -> list[type[Transform]]:
"""
Sphinx's reST parser replaces a transform class for smart-quotes by its own
refs: sphinx.io.SphinxStandaloneReader
"""
transforms = super().get_transforms()
transforms.remove(SmartQuotes)
return transforms
def parse(self, inputstring: str | StringList, document: nodes.document) -> None:
"""Parse text and generate a document tree."""
self.setup_parse(inputstring, document) # type: ignore[arg-type]
self.statemachine = states.RSTStateMachine(
state_classes=self.state_classes,
initial_state=self.initial_state,
debug=document.reporter.debug_flag,
)
# preprocess inputstring
if isinstance(inputstring, str):
lines = docutils.statemachine.string2lines(
inputstring, tab_width=document.settings.tab_width, convert_whitespace=True
)
inputlines = StringList(lines, document.current_source)
else:
inputlines = inputstring
self.decorate(inputlines)
self.statemachine.run(inputlines, document, inliner=self.inliner)
self.finish_parse()
def decorate(self, content: StringList) -> None:
"""Preprocess reST content before parsing."""
prepend_prolog(content, self.config.rst_prolog)
append_epilog(content, self.config.rst_epilog)
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|
37,031 | docutils.parsers.rst | __init__ | null | def __init__(self, rfc2822=False, inliner=None):
if rfc2822:
self.initial_state = 'RFC2822Body'
else:
self.initial_state = 'Body'
self.state_classes = states.state_classes
self.inliner = inliner
| (self, rfc2822=False, inliner=None) | [
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|
37,032 | sphinx.parsers | decorate | Preprocess reST content before parsing. | def decorate(self, content: StringList) -> None:
"""Preprocess reST content before parsing."""
prepend_prolog(content, self.config.rst_prolog)
append_epilog(content, self.config.rst_epilog)
| (self, content: docutils.statemachine.StringList) -> NoneType | [
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|
37,033 | docutils.parsers | finish_parse | Finalize parse details. Call at end of `self.parse()`. | def finish_parse(self):
"""Finalize parse details. Call at end of `self.parse()`."""
self.document.reporter.detach_observer(
self.document.note_parse_message)
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|
37,034 | sphinx.parsers | get_transforms |
Sphinx's reST parser replaces a transform class for smart-quotes by its own
refs: sphinx.io.SphinxStandaloneReader
| def get_transforms(self) -> list[type[Transform]]:
"""
Sphinx's reST parser replaces a transform class for smart-quotes by its own
refs: sphinx.io.SphinxStandaloneReader
"""
transforms = super().get_transforms()
transforms.remove(SmartQuotes)
return transforms
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|
37,035 | sphinx.parsers | parse | Parse text and generate a document tree. | def parse(self, inputstring: str | StringList, document: nodes.document) -> None:
"""Parse text and generate a document tree."""
self.setup_parse(inputstring, document) # type: ignore[arg-type]
self.statemachine = states.RSTStateMachine(
state_classes=self.state_classes,
initial_state=self.initial_state,
debug=document.reporter.debug_flag,
)
# preprocess inputstring
if isinstance(inputstring, str):
lines = docutils.statemachine.string2lines(
inputstring, tab_width=document.settings.tab_width, convert_whitespace=True
)
inputlines = StringList(lines, document.current_source)
else:
inputlines = inputstring
self.decorate(inputlines)
self.statemachine.run(inputlines, document, inliner=self.inliner)
self.finish_parse()
| (self, inputstring: str | docutils.statemachine.StringList, document: docutils.nodes.document) -> NoneType | [
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|
37,036 | sphinx.parsers | set_application | set_application will be called from Sphinx to set app and other instance variables
:param sphinx.application.Sphinx app: Sphinx application object
| def set_application(self, app: Sphinx) -> None:
"""set_application will be called from Sphinx to set app and other instance variables
:param sphinx.application.Sphinx app: Sphinx application object
"""
self._app = app
self.config = app.config
self.env = app.env
| (self, app: 'Sphinx') -> 'None' | [
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|
37,037 | docutils.parsers | setup_parse | Initial parse setup. Call at start of `self.parse()`. | def setup_parse(self, inputstring, document):
"""Initial parse setup. Call at start of `self.parse()`."""
self.inputstring = inputstring
# provide fallbacks in case the document has only generic settings
document.settings.setdefault('file_insertion_enabled', False)
document.settings.setdefault('raw_enabled', False)
document.settings.setdefault('line_length_limit', 10000)
self.document = document
document.reporter.attach_observer(document.note_parse_message)
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|
37,038 | docutils | supports |
Is `format` supported by this component?
To be used by transforms to ask the dependent component if it supports
a certain input context or output format.
| def supports(self, format):
"""
Is `format` supported by this component?
To be used by transforms to ask the dependent component if it supports
a certain input context or output format.
"""
return format in self.supported
| (self, format) | [
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|
37,047 | sphinx_autodoc_typehints | _execute_guarded_code | null | def _execute_guarded_code(autodoc_mock_imports: list[str], obj: Any, module_code: str) -> None:
for _, part in _TYPE_GUARD_IMPORT_RE.findall(module_code):
guarded_code = textwrap.dedent(part)
try:
try:
with mock(autodoc_mock_imports):
exec(guarded_code, getattr(obj, "__globals__", obj.__dict__)) # noqa: S102
except ImportError as exc:
# ImportError might have occurred because the module has guarded code as well,
# so we recurse on the module.
if exc.name:
_resolve_type_guarded_imports(autodoc_mock_imports, importlib.import_module(exc.name))
# Retry the guarded code and see if it works now after resolving all nested type guards.
with mock(autodoc_mock_imports):
exec(guarded_code, getattr(obj, "__globals__", obj.__dict__)) # noqa: S102
except Exception as exc: # noqa: BLE001
_LOGGER.warning("Failed guarded type import with %r", exc)
| (autodoc_mock_imports: list[str], obj: Any, module_code: str) -> NoneType | [
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]
|
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