

'''simple docstring'''



from __future__ import annotations

from collections.abc import Sequence
from typing import Literal







def   a__			(    a__ ,       a__		):




     """simple docstring"""


     __SCREAMING_SNAKE_CASE      = list(a__		)
     __SCREAMING_SNAKE_CASE      = list(a__		)
     __SCREAMING_SNAKE_CASE      = 0
     for i in range(len(a__		)		):
          if lista[i] != lista[i]:
               count += 1
               __SCREAMING_SNAKE_CASE      = """_"""
     if count > 1:
          return False
     else:
          return "".join(a__		)







def   a__			(    a__		):




     """simple docstring"""


     __SCREAMING_SNAKE_CASE      = []
     while True:
          __SCREAMING_SNAKE_CASE      = ["""$"""] * len(a__		)
          __SCREAMING_SNAKE_CASE      = []
          for i in range(len(a__		)		):
               for j in range(i + 1 ,       len(a__		)		):
                    __SCREAMING_SNAKE_CASE      = compare_string(binary[i] ,       binary[j]		)
                    if k is False:
                         __SCREAMING_SNAKE_CASE      = """*"""
                         __SCREAMING_SNAKE_CASE      = """*"""
                         temp.append("""X"""		)
          for i in range(len(a__		)		):
               if checka[i] == "$":
                    pi.append(binary[i]		)
          if len(a__		) == 0:
               return pi
          __SCREAMING_SNAKE_CASE      = list(set(a__		)		)







def   a__			(    a__ ,       a__		):




     """simple docstring"""


     __SCREAMING_SNAKE_CASE      = []
     for minterm in minterms:
          __SCREAMING_SNAKE_CASE      = """"""
          for _ in range(a__		):
               __SCREAMING_SNAKE_CASE      = str(minterm % 2		) + string
               minterm //= 2
          temp.append(a__		)
     return temp







def   a__			(    a__ ,       a__ ,       a__		):




     """simple docstring"""


     __SCREAMING_SNAKE_CASE      = list(a__		)
     __SCREAMING_SNAKE_CASE      = list(a__		)
     __SCREAMING_SNAKE_CASE      = 0
     for i in range(len(a__		)		):
          if lista[i] != lista[i]:
               count_n += 1
     return count_n == count







def   a__			(    a__ ,       a__		):




     """simple docstring"""


     __SCREAMING_SNAKE_CASE      = []
     __SCREAMING_SNAKE_CASE      = [0] * len(a__		)
     for i in range(len(chart[0]		)		):
          __SCREAMING_SNAKE_CASE      = 0
          __SCREAMING_SNAKE_CASE      = -1
          for j in range(len(a__		)		):
               if chart[j][i] == 1:
                    count += 1
                    __SCREAMING_SNAKE_CASE      = j
          if count == 1:
               __SCREAMING_SNAKE_CASE      = 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__		)		):
                              __SCREAMING_SNAKE_CASE      = 0
               temp.append(prime_implicants[i]		)
     while True:
          __SCREAMING_SNAKE_CASE      = 0
          __SCREAMING_SNAKE_CASE      = -1
          __SCREAMING_SNAKE_CASE      = 0
          for i in range(len(a__		)		):
               __SCREAMING_SNAKE_CASE      = chart[i].count(1		)
               if count_n > max_n:
                    __SCREAMING_SNAKE_CASE      = count_n
                    __SCREAMING_SNAKE_CASE      = 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__		)		):
                         __SCREAMING_SNAKE_CASE      = 0







def   a__			(    a__ ,       a__		):




     """simple docstring"""


     __SCREAMING_SNAKE_CASE      = [[0 for x in range(len(a__		)		)] for x in range(len(a__		)		)]
     for i in range(len(a__		)		):
          __SCREAMING_SNAKE_CASE      = prime_implicants[i].count("""_"""		)
          for j in range(len(a__		)		):
               if is_for_table(prime_implicants[i] ,       binary[j] ,       a__		):
                    __SCREAMING_SNAKE_CASE      = 1

     return chart







def   a__			(    ):




     """simple docstring"""


     __SCREAMING_SNAKE_CASE      = int(input("""Enter the no. of variables\n"""		)		)
     __SCREAMING_SNAKE_CASE      = [
         float(a__		)
         for x in input(
             """Enter the decimal representation of Minterms 'Spaces Separated'\n"""		).split()
     ]
     __SCREAMING_SNAKE_CASE      = decimal_to_binary(a__ ,       a__		)

     __SCREAMING_SNAKE_CASE      = check(a__		)
     print("""Prime Implicants are:"""		)
     print(a__		)
     __SCREAMING_SNAKE_CASE      = prime_implicant_chart(a__ ,       a__		)

     __SCREAMING_SNAKE_CASE      = selection(a__ ,       a__		)
     print("""Essential Prime Implicants are:"""		)
     print(a__		)


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  main()









'''simple docstring'''



import importlib
import inspect
import os
import re


# 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					:			Any       =	'src/transformers'


# This is to make sure the transformers module imported is the one in the repo.
UpperCAmelCase					:			Optional[int]       =	importlib.util.spec_from_file_location(
    'transformers',
    os.path.join(PATH_TO_TRANSFORMERS, '__init__.py'),
    submodule_search_locations=[PATH_TO_TRANSFORMERS],
)
UpperCAmelCase					:			Dict       =	spec.loader.load_module()

UpperCAmelCase					:			Dict       =	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					:			Dict       =	re.compile('\[(.+?)\]\((https://huggingface\.co/.+?)\)')


UpperCAmelCase					:			Any       =	{
    'CLIPConfigMixin',
    'DecisionTransformerConfigMixin',
    'EncoderDecoderConfigMixin',
    'RagConfigMixin',
    'SpeechEncoderDecoderConfigMixin',
    'VisionEncoderDecoderConfigMixin',
    'VisionTextDualEncoderConfigMixin',
}







def   a__			(    ):




     """simple docstring"""


     __SCREAMING_SNAKE_CASE      = []

     for config_class in list(CONFIG_MAPPING.values()		):
          __SCREAMING_SNAKE_CASE      = False

          # source code of `config_class`
          __SCREAMING_SNAKE_CASE      = inspect.getsource(a__		)
          __SCREAMING_SNAKE_CASE      = _re_checkpoint.findall(a__		)

          for checkpoint in checkpoints:
               # Each `checkpoint` is a tuple of a checkpoint name and a checkpoint link.
               # For example, `('bert-base-uncased', 'https://huggingface.co/bert-base-uncased')`
               __SCREAMING_SNAKE_CASE  ,     __SCREAMING_SNAKE_CASE      = checkpoint

               # verify the checkpoint name corresponds to the checkpoint link
               __SCREAMING_SNAKE_CASE      = F'https://huggingface.co/{ckpt_name}'
               if ckpt_link == ckpt_link_from_name:
                    __SCREAMING_SNAKE_CASE      = True
                    break

          __SCREAMING_SNAKE_CASE      = config_class.__name__
          if not checkpoint_found and name not in CONFIG_CLASSES_TO_IGNORE_FOR_DOCSTRING_CHECKPOINT_CHECK:
               configs_without_checkpoint.append(a__		)

     if len(a__		) > 0:
          __SCREAMING_SNAKE_CASE      = """\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()






