from __future__ import annotations

from collections.abc import Sequence
from typing import Literal
def       __magic_name__(  __UpperCAmelCase ,						__UpperCAmelCase		)						->    List[str]:



      '''simple docstring'''

      _lowerCamelCase			    =				list(_lowerCamelCase		)
      _lowerCamelCase			    =				list(_lowerCamelCase		)
      _lowerCamelCase			    =				0
      for i in range(len(_lowerCamelCase		)		):
            if lista[i] != lista[i]:
                  count += 1
                  _lowerCamelCase			    =				"_"
      if count > 1:
            return False
      else:
            return "".join(_lowerCamelCase		)
def       __magic_name__(  __UpperCAmelCase		)						->    Dict:



      '''simple docstring'''

      _lowerCamelCase			    =				[]
      while True:
            _lowerCamelCase			    =				["$"] * len(_lowerCamelCase		)
            _lowerCamelCase			    =				[]
            for i in range(len(_lowerCamelCase		)		):
                  for j in range(i + 1 ,						len(_lowerCamelCase		)		):
                        _lowerCamelCase			    =				compare_string(binary[i] ,						binary[j]		)
                        if k is False:
                              _lowerCamelCase			    =				"*"
                              _lowerCamelCase			    =				"*"
                              temp.append('''X'''		)
            for i in range(len(_lowerCamelCase		)		):
                  if checka[i] == "$":
                        pi.append(binary[i]		)
            if len(_lowerCamelCase		) == 0:
                  return pi
            _lowerCamelCase			    =				list(set(_lowerCamelCase		)		)
def       __magic_name__(  __UpperCAmelCase ,						__UpperCAmelCase		)						->    Tuple:



      '''simple docstring'''

      _lowerCamelCase			    =				[]
      for minterm in minterms:
            _lowerCamelCase			    =				""
            for _ in range(_lowerCamelCase		):
                  _lowerCamelCase			    =				str(minterm % 2		) + string
                  minterm //= 2
            temp.append(_lowerCamelCase		)
      return temp
def       __magic_name__(  __UpperCAmelCase ,						__UpperCAmelCase ,						__UpperCAmelCase		)						->    Optional[Any]:



      '''simple docstring'''

      _lowerCamelCase			    =				list(_lowerCamelCase		)
      _lowerCamelCase			    =				list(_lowerCamelCase		)
      _lowerCamelCase			    =				0
      for i in range(len(_lowerCamelCase		)		):
            if lista[i] != lista[i]:
                  count_n += 1
      return count_n == count
def       __magic_name__(  __UpperCAmelCase ,						__UpperCAmelCase		)						->    int:



      '''simple docstring'''

      _lowerCamelCase			    =				[]
      _lowerCamelCase			    =				[0] * len(_lowerCamelCase		)
      for i in range(len(chart[0]		)		):
            _lowerCamelCase			    =				0
            _lowerCamelCase			    =				-1
            for j in range(len(_lowerCamelCase		)		):
                  if chart[j][i] == 1:
                        count += 1
                        _lowerCamelCase			    =				j
            if count == 1:
                  _lowerCamelCase			    =				1
      for i in range(len(_lowerCamelCase		)		):
            if select[i] == 1:
                  for j in range(len(chart[0]		)		):
                        if chart[i][j] == 1:
                              for k in range(len(_lowerCamelCase		)		):
                                    _lowerCamelCase			    =				0
                  temp.append(prime_implicants[i]		)
      while True:
            _lowerCamelCase			    =				0
            _lowerCamelCase			    =				-1
            _lowerCamelCase			    =				0
            for i in range(len(_lowerCamelCase		)		):
                  _lowerCamelCase			    =				chart[i].count(1		)
                  if count_n > max_n:
                        _lowerCamelCase			    =				count_n
                        _lowerCamelCase			    =				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(_lowerCamelCase		)		):
                              _lowerCamelCase			    =				0
def       __magic_name__(  __UpperCAmelCase ,						__UpperCAmelCase		)						->    List[Any]:



      '''simple docstring'''

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

      return chart
def       __magic_name__(  )						->    List[Any]:



      '''simple docstring'''

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

      _lowerCamelCase			    =				check(_lowerCamelCase		)
      print('''Prime Implicants are:'''		)
      print(_lowerCamelCase		)
      _lowerCamelCase			    =				prime_implicant_chart(_lowerCamelCase ,						_lowerCamelCase		)

      _lowerCamelCase			    =				selection(_lowerCamelCase ,						_lowerCamelCase		)
      print('''Essential Prime Implicants are:'''		)
      print(_lowerCamelCase		)


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     main()
import os
import tempfile
import unittest

from transformers.models.marian.convert_marian_tatoeba_to_pytorch import DEFAULT_REPO, TatoebaConverter
from transformers.testing_utils import slow
from transformers.utils import cached_property



@unittest.skipUnless(os.path.exists(__lowercase )   ,  'Tatoeba directory does not exist.' )
class  UpperCamelCase				( unittest.TestCase ):

     '''simple docstring'''

     @cached_property
     def 		UpperCamelCase_						(					self						) ->				int:






           """simple docstring"""
           _lowerCamelCase			    =				tempfile.mkdtemp()
           return TatoebaConverter(save_dir=A_						)



     @slow
     def 		UpperCamelCase_						(					self						) ->				Any:






           """simple docstring"""
           self.resolver.convert_models(['''heb-eng''']						)





     @slow
     def 		UpperCamelCase_						(					self						) ->				Tuple:






           """simple docstring"""
           _lowerCamelCase    ,					_lowerCamelCase			    =				self.resolver.write_model_card('''opus-mt-he-en'''				,				dry_run=A_						)
           assert mmeta["long_pair"] == "heb-eng"