


'''simple docstring'''


from __future__ import annotations

from collections.abc import Sequence
from typing import Literal






def        __lowerCAmelCase       (__lowerCAmelCase					,       __lowerCAmelCase      ):
		_UpperCAmelCase						:				Any	    =					list(__lowerCAmelCase      )
		_UpperCAmelCase						:				Tuple	    =					list(__lowerCAmelCase      )
		_UpperCAmelCase						:				Union[str, Any]	    =					0
		for i in range(len(__lowerCAmelCase      )      ):
				if lista[i] != lista[i]:
						count += 1
						_UpperCAmelCase						:				Optional[int]	    =					"_"
		if count > 1:
				return False
		else:
				return "".join(__lowerCAmelCase      )






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






def        __lowerCAmelCase       (__lowerCAmelCase					,       __lowerCAmelCase      ):
		_UpperCAmelCase						:				int	    =					[]
		for minterm in minterms:
				_UpperCAmelCase						:				Dict	    =					""
				for _ in range(__lowerCAmelCase      ):
						_UpperCAmelCase						:				Tuple	    =					str(minterm % 2      ) + string
						minterm //= 2
				temp.append(__lowerCAmelCase      )
		return temp






def        __lowerCAmelCase       (__lowerCAmelCase					,       __lowerCAmelCase					,       __lowerCAmelCase      ):
		_UpperCAmelCase						:				Union[str, Any]	    =					list(__lowerCAmelCase      )
		_UpperCAmelCase						:				List[Any]	    =					list(__lowerCAmelCase      )
		_UpperCAmelCase						:				Any	    =					0
		for i in range(len(__lowerCAmelCase      )      ):
				if lista[i] != lista[i]:
						count_n += 1
		return count_n == count






def        __lowerCAmelCase       (__lowerCAmelCase					,       __lowerCAmelCase      ):
		_UpperCAmelCase						:				Any	    =					[]
		_UpperCAmelCase						:				str	    =					[0] * len(__lowerCAmelCase      )
		for i in range(len(chart[0]      )      ):
				_UpperCAmelCase						:				Union[str, Any]	    =					0
				_UpperCAmelCase						:				str	    =					-1
				for j in range(len(__lowerCAmelCase      )      ):
						if chart[j][i] == 1:
								count += 1
								_UpperCAmelCase						:				Dict	    =					j
				if count == 1:
						_UpperCAmelCase						:				Tuple	    =					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      )      ):
												_UpperCAmelCase						:				List[str]	    =					0
						temp.append(prime_implicants[i]      )
		while True:
				_UpperCAmelCase						:				int	    =					0
				_UpperCAmelCase						:				int	    =					-1
				_UpperCAmelCase						:				List[str]	    =					0
				for i in range(len(__lowerCAmelCase      )      ):
						_UpperCAmelCase						:				List[Any]	    =					chart[i].count(1      )
						if count_n > max_n:
								_UpperCAmelCase						:				int	    =					count_n
								_UpperCAmelCase						:				List[str]	    =					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      )      ):
										_UpperCAmelCase						:				Tuple	    =					0






def        __lowerCAmelCase       (__lowerCAmelCase					,       __lowerCAmelCase      ):
		_UpperCAmelCase						:				Dict	    =					[[0 for x in range(len(__lowerCAmelCase      )      )] for x in range(len(__lowerCAmelCase      )      )]
		for i in range(len(__lowerCAmelCase      )      ):
				_UpperCAmelCase						:				Tuple	    =					prime_implicants[i].count("_"      )
				for j in range(len(__lowerCAmelCase      )      ):
						if is_for_table(prime_implicants[i]					,       binary[j]					,       __lowerCAmelCase      ):
								_UpperCAmelCase						:				Optional[Any]	    =					1

		return chart






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

		_UpperCAmelCase						:				str	    =					check(__lowerCAmelCase      )
		print("Prime Implicants are:"      )
		print(__lowerCAmelCase      )
		_UpperCAmelCase						:				str	    =					prime_implicant_chart(__lowerCAmelCase					,       __lowerCAmelCase      )

		_UpperCAmelCase						:				List[Any]	    =					selection(__lowerCAmelCase					,       __lowerCAmelCase      )
		print("Essential Prime Implicants are:"      )
		print(__lowerCAmelCase      )


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						main()







'''simple docstring'''


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(UpperCAmelCase__		)			,				"Tatoeba directory does not exist."		)
class 		lowerCAmelCase__	(	unittest.TestCase		):




			@cached_property
			def 							lowerCAmelCase__			(						self     :   Optional[Any]       )      ->List[Any]:



					'''simple docstring'''







					_UpperCAmelCase						:				List[str]	    =					tempfile.mkdtemp()
					return TatoebaConverter(save_dir=lowerCamelCase__       )




			@slow
			def 							lowerCAmelCase__			(						self     :   Optional[int]       )      ->List[str]:



					'''simple docstring'''







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






			@slow
			def 							lowerCAmelCase__			(						self     :   List[Any]       )      ->Any:



					'''simple docstring'''







					_UpperCAmelCase    ,			_UpperCAmelCase						:				Tuple	    =					self.resolver.write_model_card("opus-mt-he-en"		,     dry_run=lowerCamelCase__       )
					assert mmeta["long_pair"] == "heb-eng"



