



'''simple docstring'''





from __future__ import annotations

from collections.abc import Sequence
from typing import Literal

def      A (       A_							:					str    ,							A_							:					str       ):
						snake_case       :     int =    list(A_       )
						snake_case       :     Dict =    list(A_       )
						snake_case       :     List[str] =    0
						for i in range(len(A_       )       ):
												if lista[i] != lista[i]:
																		count += 1
																		snake_case       :     int =    '''_'''
						if count > 1:
												return False
						else:
												return "".join(A_       )

def      A (       A_							:					list[str]       ):
						snake_case       :     Tuple =    []
						while True:
												snake_case       :     Optional[int] =    ['''$'''] * len(A_       )
												snake_case       :     Any =    []
												for i in range(len(A_       )       ):
																		for j in range(i + 1    ,							len(A_       )       ):
																								snake_case       :     List[str] =    compare_string(binary[i]    ,							binary[j]       )
																								if k is False:
																														snake_case       :     int =    '''*'''
																														snake_case       :     int =    '''*'''
																														temp.append('''X'''       )
												for i in range(len(A_       )       ):
																		if checka[i] == "$":
																								pi.append(binary[i]       )
												if len(A_       ) == 0:
																		return pi
												snake_case       :     List[str] =    list(set(A_       )       )

def      A (       A_							:					int    ,							A_							:					Sequence[float]       ):
						snake_case       :     Optional[int] =    []
						for minterm in minterms:
												snake_case       :     int =    ''''''
												for _ in range(A_       ):
																		snake_case       :     Tuple =    str(minterm % 2       ) + string
																		minterm //= 2
												temp.append(A_       )
						return temp

def      A (       A_							:					str    ,							A_							:					str    ,							A_							:					int       ):
						snake_case       :     Optional[Any] =    list(A_       )
						snake_case       :     Union[str, Any] =    list(A_       )
						snake_case       :     List[Any] =    0
						for i in range(len(A_       )       ):
												if lista[i] != lista[i]:
																		count_n += 1
						return count_n == count

def      A (       A_							:					list[list[int]]    ,							A_							:					list[str]       ):
						snake_case       :     Dict =    []
						snake_case       :     Any =    [0] * len(A_       )
						for i in range(len(chart[0]       )       ):
												snake_case       :     Tuple =    0
												snake_case       :     Optional[int] =    -1
												for j in range(len(A_       )       ):
																		if chart[j][i] == 1:
																								count += 1
																								snake_case       :     Optional[Any] =    j
												if count == 1:
																		snake_case       :     List[str] =    1
						for i in range(len(A_       )       ):
												if select[i] == 1:
																		for j in range(len(chart[0]       )       ):
																								if chart[i][j] == 1:
																														for k in range(len(A_       )       ):
																																				snake_case       :     str =    0
																		temp.append(prime_implicants[i]       )
						while True:
												snake_case       :     Tuple =    0
												snake_case       :     Optional[Any] =    -1
												snake_case       :     Tuple =    0
												for i in range(len(A_       )       ):
																		snake_case       :     List[str] =    chart[i].count(1       )
																		if count_n > max_n:
																								snake_case       :     List[str] =    count_n
																								snake_case       :     Dict =    i

												if max_n == 0:
																		return temp

												temp.append(prime_implicants[rem]       )

												for i in range(len(chart[0]       )       ):
																		if chart[rem][i] == 1:
																								for j in range(len(A_       )       ):
																														snake_case       :     Any =    0

def      A (       A_							:					list[str]    ,							A_							:					list[str]       ):
						snake_case       :     Optional[Any] =    [[0 for x in range(len(A_       )       )] for x in range(len(A_       )       )]
						for i in range(len(A_       )       ):
												snake_case       :     Dict =    prime_implicants[i].count('''_'''       )
												for j in range(len(A_       )       ):
																		if is_for_table(prime_implicants[i]    ,							binary[j]    ,							A_       ):
																								snake_case       :     str =    1

						return chart

def      A (       ):
						snake_case       :     List[str] =    int(input('''Enter the no. of variables\n'''       )       )
						snake_case       :     Any =    [
						    float(A_       )
						    for x in input(
						        '''Enter the decimal representation of Minterms \'Spaces Separated\'\n'''       ).split()
						]
						snake_case       :     Optional[Any] =    decimal_to_binary(A_    ,							A_       )

						snake_case       :     Any =    check(A_       )
						print('''Prime Implicants are:'''       )
						print(A_       )
						snake_case       :     int =    prime_implicant_chart(A_    ,							A_       )

						snake_case       :     int =    selection(A_    ,							A_       )
						print('''Essential Prime Implicants are:'''       )
						print(A_       )


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						main()



'''simple docstring'''





import inspect
import re

from transformers.utils import direct_transformers_import


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_config_docstrings.py
UpperCAmelCase    					=   "src/transformers"


# This is to make sure the transformers module imported is the one in the repo.
UpperCAmelCase    					=   direct_transformers_import(PATH_TO_TRANSFORMERS)

UpperCAmelCase    					=   transformers.models.auto.configuration_auto.CONFIG_MAPPING

# Regex pattern used to find the checkpoint mentioned in the docstring of `config_class`.
# For example, `[bert-base-uncased](https://huggingface.co/bert-base-uncased)`
UpperCAmelCase    					=   re.compile(r"\[(.+?)\]\((https://huggingface\.co/.+?)\)")


UpperCAmelCase    					=   {
    "DecisionTransformerConfig",
    "EncoderDecoderConfig",
    "MusicgenConfig",
    "RagConfig",
    "SpeechEncoderDecoderConfig",
    "TimmBackboneConfig",
    "VisionEncoderDecoderConfig",
    "VisionTextDualEncoderConfig",
    "LlamaConfig",
}

def      A (       A_							:					Union[str, Any]       ):
						snake_case       :     Tuple =    None

						# source code of `config_class`
						snake_case       :     Union[str, Any] =    inspect.getsource(A_       )
						snake_case       :     List[Any] =    _re_checkpoint.findall(A_       )

						# Each `checkpoint` is a tuple of a checkpoint name and a checkpoint link.
						# For example, `('bert-base-uncased', 'https://huggingface.co/bert-base-uncased')`
						for ckpt_name, ckpt_link in checkpoints:
												# allow the link to end with `/`
												if ckpt_link.endswith('''/'''       ):
																		snake_case       :     Optional[int] =    ckpt_link[:-1]

												# verify the checkpoint name corresponds to the checkpoint link
												snake_case       :     Dict =    F"""https://huggingface.co/{ckpt_name}"""
												if ckpt_link == ckpt_link_from_name:
																		snake_case       :     Dict =    ckpt_name
																		break

						return checkpoint

def      A (       ):
						snake_case       :     List[str] =    []

						for config_class in list(CONFIG_MAPPING.values()       ):
												# Skip deprecated models
												if "models.deprecated" in config_class.__module__:
																		continue
												snake_case       :     Tuple =    get_checkpoint_from_config_class(A_       )

												snake_case       :     Optional[Any] =    config_class.__name__
												if checkpoint is None and name not in CONFIG_CLASSES_TO_IGNORE_FOR_DOCSTRING_CHECKPOINT_CHECK:
																		configs_without_checkpoint.append(A_       )

						if len(A_       ) > 0:
												snake_case       :     Optional[int] =    '''\n'''.join(sorted(A_       )       )
												raise ValueError(F"""The following configurations don't contain any valid checkpoint:\n{message}"""       )


if __name__ == "__main__":
						check_config_docstrings_have_checkpoints()

