



"""simple docstring"""

from __future__ import annotations

from collections.abc import Sequence
from typing import Literal







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  str				,    SCREAMING_SNAKE_CASE__ :  str			):



					"""simple docstring"""





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







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  list[str]			):



					"""simple docstring"""





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







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  int				,    SCREAMING_SNAKE_CASE__ :  Sequence[float]			):



					"""simple docstring"""





					snake_case_					:		Tuple 					=					[]
					for minterm in minterms:
										snake_case_					:		Optional[int] 					=					""""""
										for _ in range(SCREAMING_SNAKE_CASE__			):
															snake_case_					:		List[str] 					=					str(minterm % 2			) + string
															minterm //= 2
										temp.append(SCREAMING_SNAKE_CASE__			)
					return temp







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  str				,    SCREAMING_SNAKE_CASE__ :  str				,    SCREAMING_SNAKE_CASE__ :  int			):



					"""simple docstring"""





					snake_case_					:		Optional[Any] 					=					list(SCREAMING_SNAKE_CASE__			)
					snake_case_					:		Union[str, Any] 					=					list(SCREAMING_SNAKE_CASE__			)
					snake_case_					:		Dict 					=					0
					for i in range(len(SCREAMING_SNAKE_CASE__			)			):
										if lista[i] != lista[i]:
															count_n += 1
					return count_n == count







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  list[list[int]]				,    SCREAMING_SNAKE_CASE__ :  list[str]			):



					"""simple docstring"""





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







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  list[str]				,    SCREAMING_SNAKE_CASE__ :  list[str]			):



					"""simple docstring"""





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

					return chart







def 							SCREAMING_SNAKE_CASE__      (		):



					"""simple docstring"""





					snake_case_					:		Dict 					=					int(input("""Enter the no. of variables\n"""			)			)
					snake_case_					:		List[str] 					=					[
					    float(SCREAMING_SNAKE_CASE__			)
					    for x in input(
					        """Enter the decimal representation of Minterms 'Spaces Separated'\n"""			).split()
					]
					snake_case_					:		List[Any] 					=					decimal_to_binary(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__			)

					snake_case_					:		int 					=					check(SCREAMING_SNAKE_CASE__			)
					print("""Prime Implicants are:"""			)
					print(SCREAMING_SNAKE_CASE__			)
					snake_case_					:		str 					=					prime_implicant_chart(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__			)

					snake_case_					:		Optional[Any] 					=					selection(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__			)
					print("""Essential Prime Implicants are:"""			)
					print(SCREAMING_SNAKE_CASE__			)


if __name__ == "__main__":
			import doctest

			doctest.testmod()
			main()









"""simple docstring"""

import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, Features, Value
from .base import TaskTemplate







@dataclass(frozen=_UpperCAmelCase)
class    __lowercase     (					_UpperCAmelCase):







						"""simple docstring"""







						_A		:							str							       =		field(default="""automatic-speech-recognition"""					,    metadata={"""include_in_asdict_even_if_is_default""": True})
						_A		:							ClassVar[Features]							       =		Features({"""audio""": Audio()})
						_A		:							ClassVar[Features]							       =		Features({"""transcription""": Value("""string""")})
						_A		:							str							       =		"audio"
						_A		:							str							       =		"transcription"







						def 						__UpperCamelCase							(self   ,		lowercase__       ):
											if self.audio_column not in features:
																raise ValueError(f'Column {self.audio_column} is not present in features.'       )
											if not isinstance(features[self.audio_column]   ,		lowercase__       ):
																raise ValueError(f'Column {self.audio_column} is not an Audio type.'       )
											snake_case_					:		Optional[int] 					=					copy.deepcopy(self       )
											snake_case_					:		Tuple 					=					self.input_schema.copy()
											snake_case_					:		List[str] 					=					features[self.audio_column]
											snake_case_					:		Any 					=					input_schema
											return task_template







						@property
						def 						__UpperCamelCase							(self       ):
											return {self.audio_column: "audio", self.transcription_column: "transcription"}




