
'''simple docstring'''







from __future__ import annotations

from collections.abc import Sequence
from typing import Literal
def  snake_case_		(    __SCREAMING_SNAKE_CASE :			str				,				__SCREAMING_SNAKE_CASE :			str							):



						"""simple docstring"""





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



						"""simple docstring"""





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



						"""simple docstring"""





						lowercase_     :					Tuple													=	[]
						for minterm in minterms:
												lowercase_     :					Dict													=	''''''
												for _ in range(__SCREAMING_SNAKE_CASE							):
																		lowercase_     :					int													=	str(minterm % 2							) + string
																		minterm //= 2
												temp.append(__SCREAMING_SNAKE_CASE							)
						return temp
def  snake_case_		(    __SCREAMING_SNAKE_CASE :			str				,				__SCREAMING_SNAKE_CASE :			str				,				__SCREAMING_SNAKE_CASE :			int							):



						"""simple docstring"""





						lowercase_     :					List[str]													=	list(__SCREAMING_SNAKE_CASE							)
						lowercase_     :					Optional[int]													=	list(__SCREAMING_SNAKE_CASE							)
						lowercase_     :					Dict													=	0
						for i in range(len(__SCREAMING_SNAKE_CASE							)							):
												if lista[i] != lista[i]:
																		count_n += 1
						return count_n == count
def  snake_case_		(    __SCREAMING_SNAKE_CASE :			list[list[int]]				,				__SCREAMING_SNAKE_CASE :			list[str]							):



						"""simple docstring"""





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



						"""simple docstring"""





						lowercase_     :					List[Any]													=	[[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							)							):
												lowercase_     :					Union[str, Any]													=	prime_implicants[i].count('''_'''							)
												for j in range(len(__SCREAMING_SNAKE_CASE							)							):
																		if is_for_table(prime_implicants[i]				,				binary[j]				,				__SCREAMING_SNAKE_CASE							):
																								lowercase_     :					Union[str, Any]													=	1

						return chart
def  snake_case_		(    ):



						"""simple docstring"""





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

						lowercase_     :					Dict													=	check(__SCREAMING_SNAKE_CASE							)
						print('''Prime Implicants are:'''							)
						print(__SCREAMING_SNAKE_CASE							)
						lowercase_     :					List[Any]													=	prime_implicant_chart(__SCREAMING_SNAKE_CASE				,				__SCREAMING_SNAKE_CASE							)

						lowercase_     :					Tuple													=	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 unittest

from datasets import load_dataset

from transformers import BloomTokenizerFast
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class 			lowerCAmelCase__       (  lowerCamelCase_   ,						unittest.TestCase					):
					lowerCAmelCase_					       =					None
					lowerCAmelCase_					       =					BloomTokenizerFast
					lowerCAmelCase_					       =					BloomTokenizerFast
					lowerCAmelCase_					       =					True
					lowerCAmelCase_					       =					False
					lowerCAmelCase_					       =					'''tokenizer_file'''
					lowerCAmelCase_					       =					{'''bos_token''': '''<s>''', '''eos_token''': '''</s>''', '''unk_token''': '''<unk>''', '''pad_token''': '''<pad>'''}






					def      _snake_case   (       self		):


											"""simple docstring"""





											super().setUp()
											lowercase_     :					List[Any]													=	BloomTokenizerFast.from_pretrained('''bigscience/tokenizer'''		)
											tokenizer.save_pretrained(self.tmpdirname		)






					def      _snake_case   (       self    ,							**__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											kwargs.update(self.special_tokens_map		)
											return BloomTokenizerFast.from_pretrained(self.tmpdirname    ,							**__SCREAMING_SNAKE_CASE		)






					def      _snake_case   (       self		):


											"""simple docstring"""





											lowercase_     :					Tuple													=	self.get_rust_tokenizer()

											lowercase_     :					Optional[Any]													=	['''The quick brown fox</s>''', '''jumps over the lazy dog</s>''']
											lowercase_     :					Union[str, Any]													=	[[21_75, 2_37_14, 7_31_73, 14_42_52, 2], [77, 13_26_19, 34_78, 3_68, 10_95_86, 3_54_33, 2]]

											lowercase_     :					Dict													=	tokenizer.batch_encode_plus(__SCREAMING_SNAKE_CASE		)['''input_ids''']
											self.assertListEqual(__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE		)

											lowercase_     :					Tuple													=	tokenizer.batch_decode(__SCREAMING_SNAKE_CASE		)
											self.assertListEqual(__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE		)






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE=6		):


											"""simple docstring"""





											for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																	with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''		):
																							lowercase_     :					int													=	self.rust_tokenizer_class.from_pretrained(__SCREAMING_SNAKE_CASE    ,							**__SCREAMING_SNAKE_CASE		)
																							# tokenizer_r.pad_token = None # Hotfixing padding = None
																							# Simple input
																							lowercase_     :					Optional[int]													=	'''This is a simple input'''
																							lowercase_     :					List[str]													=	['''This is a simple input 1''', '''This is a simple input 2''']
																							lowercase_     :					List[str]													=	('''This is a simple input''', '''This is a pair''')
																							lowercase_     :					Union[str, Any]													=	[
																							    ('''This is a simple input 1''', '''This is a simple input 2'''),
																							    ('''This is a simple pair 1''', '''This is a simple pair 2'''),
																							]

																							# Simple input tests
																							try:
																													tokenizer_r.encode(__SCREAMING_SNAKE_CASE    ,							max_length=__SCREAMING_SNAKE_CASE		)
																													tokenizer_r.encode_plus(__SCREAMING_SNAKE_CASE    ,							max_length=__SCREAMING_SNAKE_CASE		)

																													tokenizer_r.batch_encode_plus(__SCREAMING_SNAKE_CASE    ,							max_length=__SCREAMING_SNAKE_CASE		)
																													tokenizer_r.encode(__SCREAMING_SNAKE_CASE    ,							max_length=__SCREAMING_SNAKE_CASE		)
																													tokenizer_r.batch_encode_plus(__SCREAMING_SNAKE_CASE    ,							max_length=__SCREAMING_SNAKE_CASE		)
																							except ValueError:
																													self.fail('''Bloom Tokenizer should be able to deal with padding'''		)

																							lowercase_     :					Optional[Any]													=	None  # Hotfixing padding = None
																							self.assertRaises(__SCREAMING_SNAKE_CASE    ,							tokenizer_r.encode    ,							__SCREAMING_SNAKE_CASE    ,							max_length=__SCREAMING_SNAKE_CASE    ,							padding='''max_length'''		)

																							# Simple input
																							self.assertRaises(__SCREAMING_SNAKE_CASE    ,							tokenizer_r.encode_plus    ,							__SCREAMING_SNAKE_CASE    ,							max_length=__SCREAMING_SNAKE_CASE    ,							padding='''max_length'''		)

																							# Simple input
																							self.assertRaises(
																							    __SCREAMING_SNAKE_CASE    ,							tokenizer_r.batch_encode_plus    ,							__SCREAMING_SNAKE_CASE    ,							max_length=__SCREAMING_SNAKE_CASE    ,							padding='''max_length'''    ,							)

																							# Pair input
																							self.assertRaises(__SCREAMING_SNAKE_CASE    ,							tokenizer_r.encode    ,							__SCREAMING_SNAKE_CASE    ,							max_length=__SCREAMING_SNAKE_CASE    ,							padding='''max_length'''		)

																							# Pair input
																							self.assertRaises(__SCREAMING_SNAKE_CASE    ,							tokenizer_r.encode_plus    ,							__SCREAMING_SNAKE_CASE    ,							max_length=__SCREAMING_SNAKE_CASE    ,							padding='''max_length'''		)

																							# Pair input
																							self.assertRaises(
																							    __SCREAMING_SNAKE_CASE    ,							tokenizer_r.batch_encode_plus    ,							__SCREAMING_SNAKE_CASE    ,							max_length=__SCREAMING_SNAKE_CASE    ,							padding='''max_length'''    ,							)






					def      _snake_case   (       self		):


											"""simple docstring"""





											lowercase_     :					List[str]													=	self.get_rust_tokenizer()
											lowercase_     :					Tuple													=	load_dataset('''xnli'''    ,							'''all_languages'''    ,							split='''test'''    ,							streaming=__SCREAMING_SNAKE_CASE		)

											lowercase_     :					Optional[int]													=	next(iter(__SCREAMING_SNAKE_CASE		)		)['''premise''']  # pick up one data
											lowercase_     :					List[Any]													=	list(sample_data.values()		)

											lowercase_     :					Tuple													=	list(map(tokenizer.encode    ,							__SCREAMING_SNAKE_CASE		)		)
											lowercase_     :					Any													=	[tokenizer.decode(__SCREAMING_SNAKE_CASE    ,							clean_up_tokenization_spaces=__SCREAMING_SNAKE_CASE		) for x in output_tokens]
											self.assertListEqual(__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE		)






					def      _snake_case   (       self		):


											"""simple docstring"""





											self.assertGreaterEqual(len(self.tokenizer_class.pretrained_vocab_files_map		)    ,							1		)
											self.assertGreaterEqual(len(list(self.tokenizer_class.pretrained_vocab_files_map.values()		)[0]		)    ,							1		)



