




'''simple docstring'''





from __future__ import annotations

from collections.abc import Sequence
from typing import Literal


def      UpperCamelCase_(	snake_case							:       str							,				snake_case							:       str     ):

							'''simple docstring'''






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


def      UpperCamelCase_(	snake_case							:       list[str]     ):

							'''simple docstring'''






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


def      UpperCamelCase_(	snake_case							:       int							,				snake_case							:       Sequence[float]     ):

							'''simple docstring'''






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


def      UpperCamelCase_(	snake_case							:       str							,				snake_case							:       str							,				snake_case							:       int     ):

							'''simple docstring'''






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


def      UpperCamelCase_(	snake_case							:       list[list[int]]							,				snake_case							:       list[str]     ):

							'''simple docstring'''






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


def      UpperCamelCase_(	snake_case							:       list[str]							,				snake_case							:       list[str]     ):

							'''simple docstring'''






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

							return chart


def      UpperCamelCase_(	):

							'''simple docstring'''






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

							snake_case_						=      check(snake_case     )
							print("Prime Implicants are:"     )
							print(snake_case     )
							snake_case_						=      prime_implicant_chart(snake_case							,				snake_case     )

							snake_case_						=      selection(snake_case							,				snake_case     )
							print("Essential Prime Implicants are:"     )
							print(snake_case     )


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		main()











"""simple docstring"""





from collections import OrderedDict
from typing import TYPE_CHECKING, Any, List, Mapping, Optional, Union

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import TensorType, logging


if TYPE_CHECKING:
       from ...onnx.config import PatchingSpec
       from ...tokenization_utils_base import PreTrainedTokenizerBase


SCREAMING_SNAKE_CASE__					=   logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__					=   {
    "allenai/longformer-base-4096": "https://huggingface.co/allenai/longformer-base-4096/resolve/main/config.json",
    "allenai/longformer-large-4096": "https://huggingface.co/allenai/longformer-large-4096/resolve/main/config.json",
    "allenai/longformer-large-4096-finetuned-triviaqa": (
        "https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/config.json"
    ),
    "allenai/longformer-base-4096-extra.pos.embd.only": (
        "https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/config.json"
    ),
    "allenai/longformer-large-4096-extra.pos.embd.only": (
        "https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/config.json"
    ),
}

class 		lowercase					(					_UpperCAmelCase					):
      _SCREAMING_SNAKE_CASE					=      'longformer'





      def __init__(       self      ,						lowercase = 512      ,						lowercase = 2      ,						lowercase = 1      ,						lowercase = 0      ,						lowercase = 2      ,						lowercase = 30_522      ,						lowercase = 768      ,						lowercase = 12      ,						lowercase = 12      ,						lowercase = 3_072      ,						lowercase = "gelu"      ,						lowercase = 0.1      ,						lowercase = 0.1      ,						lowercase = 512      ,						lowercase = 2      ,						lowercase = 0.02      ,						lowercase = 1e-12      ,						lowercase = False      ,						**lowercase      ,						)		->     Optional[int]:
            super().__init__(pad_token_id=lowercase      ,						**lowercase )

            lowerCAmelCase  						=       attention_window
            lowerCAmelCase  						=       sep_token_id
            lowerCAmelCase  						=       bos_token_id
            lowerCAmelCase  						=       eos_token_id
            lowerCAmelCase  						=       vocab_size
            lowerCAmelCase  						=       hidden_size
            lowerCAmelCase  						=       num_hidden_layers
            lowerCAmelCase  						=       num_attention_heads
            lowerCAmelCase  						=       hidden_act
            lowerCAmelCase  						=       intermediate_size
            lowerCAmelCase  						=       hidden_dropout_prob
            lowerCAmelCase  						=       attention_probs_dropout_prob
            lowerCAmelCase  						=       max_position_embeddings
            lowerCAmelCase  						=       type_vocab_size
            lowerCAmelCase  						=       initializer_range
            lowerCAmelCase  						=       layer_norm_eps
            lowerCAmelCase  						=       onnx_export







class 		lowercase					(					_UpperCAmelCase					):





      def __init__(       self      ,						lowercase      ,						lowercase = "default"      ,						lowercase = None )		->     Tuple:
            super().__init__(lowercase      ,						lowercase      ,						lowercase )
            lowerCAmelCase  						=       True





      @property
      def     _snake_case			(       self )		->     Mapping[str, Mapping[int, str]]:
            if self.task == "multiple-choice":
                  lowerCAmelCase  						=       {0: """batch""", 1: """choice""", 2: """sequence"""}
            else:
                  lowerCAmelCase  						=       {0: """batch""", 1: """sequence"""}
            return OrderedDict(
                [
                    ("""input_ids""", dynamic_axis),
                    ("""attention_mask""", dynamic_axis),
                    ("""global_attention_mask""", dynamic_axis),
                ] )





      @property
      def     _snake_case			(       self )		->     Mapping[str, Mapping[int, str]]:
            lowerCAmelCase  						=       super().outputs
            if self.task == "default":
                  lowerCAmelCase  						=       {0: """batch"""}
            return outputs





      @property
      def     _snake_case			(       self )		->     float:
            return 1e-4





      @property
      def     _snake_case			(       self )		->     int:
            # needs to be >= 14 to support tril operator
            return max(super().default_onnx_opset      ,						14 )





      def     _snake_case			(       self      ,						lowercase      ,						lowercase = -1      ,						lowercase = -1      ,						lowercase = False      ,						lowercase = None      ,						)		->     Mapping[str, Any]:
            lowerCAmelCase  						=       super().generate_dummy_inputs(
                preprocessor=lowercase      ,						batch_size=lowercase      ,						seq_length=lowercase      ,						is_pair=lowercase      ,						framework=lowercase )
            import torch

            # for some reason, replacing this code by inputs["global_attention_mask"] = torch.randint(2, inputs["input_ids"].shape, dtype=torch.int64)
            # makes the export fail randomly
            lowerCAmelCase  						=       torch.zeros_like(inputs["""input_ids"""] )
            # make every second token global
            lowerCAmelCase  						=       1

            return inputs






