

'''simple docstring'''

import json
import os
from functools import lru_cache
from typing import Dict, List, Optional, Tuple, Union

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...tokenization_utils_base import BatchEncoding, EncodedInput
from ...utils import PaddingStrategy, logging


SCREAMING_SNAKE_CASE							:				List[str]     	=			logging.get_logger(__name__)


SCREAMING_SNAKE_CASE							:				Optional[Any]     	=			{"vocab_file": "vocab.json", "merges_file": "merges.txt"}

# See all LED models at https://huggingface.co/models?filter=LED
SCREAMING_SNAKE_CASE							:				Optional[int]     	=			{
    "vocab_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/vocab.json",
    },
    "merges_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/merges.txt",
    },
    "tokenizer_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/tokenizer.json",
    },
}

SCREAMING_SNAKE_CASE							:				int     	=			{
    "allenai/led-base-16384": 16384,
}




@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def 							_UpperCamelCase				(   )      -> List[str]:
							SCREAMING_SNAKE_CASE_				=				(
							    list(range(ord('!'   )		,ord('~'   ) + 1   )   ) + list(range(ord('¡'   )		,ord('¬'   ) + 1   )   ) + list(range(ord('®'   )		,ord('ÿ'   ) + 1   )   )
							)
							SCREAMING_SNAKE_CASE_				=				bs[:]
							SCREAMING_SNAKE_CASE_				=				0
							for b in range(2**8   ):
														if b not in bs:
																					bs.append(lowerCAmelCase__   )
																					cs.append(2**8 + n   )
																					n += 1
							SCREAMING_SNAKE_CASE_				=				[chr(lowerCAmelCase__   ) for n in cs]
							return dict(zip(lowerCAmelCase__		,lowerCAmelCase__   )   )




def 							_UpperCamelCase				(   lowerCAmelCase__:					List[Any]   )      -> str:
							SCREAMING_SNAKE_CASE_				=				set()
							SCREAMING_SNAKE_CASE_				=				word[0]
							for char in word[1:]:
														pairs.add((prev_char, char)   )
														SCREAMING_SNAKE_CASE_				=				char
							return pairs






class    snake_case     (      lowercase_		):






				"""simple docstring"""
				_a    	=     VOCAB_FILES_NAMES
				_a    	=     PRETRAINED_VOCAB_FILES_MAP
				_a    	=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				_a    	=     ["""input_ids""", """attention_mask"""]



				def __init__(    self,     _lowercase,     _lowercase,     _lowercase="replace",     _lowercase="<s>",     _lowercase="</s>",     _lowercase="</s>",     _lowercase="<s>",     _lowercase="<unk>",     _lowercase="<pad>",     _lowercase="<mask>",     _lowercase=False,     **_lowercase,     )     ->							Optional[int]:
											SCREAMING_SNAKE_CASE_				=				AddedToken(_lowercase,     lstrip=_lowercase,     rstrip=_lowercase       ) if isinstance(_lowercase,     _lowercase       ) else bos_token
											SCREAMING_SNAKE_CASE_				=				AddedToken(_lowercase,     lstrip=_lowercase,     rstrip=_lowercase       ) if isinstance(_lowercase,     _lowercase       ) else eos_token
											SCREAMING_SNAKE_CASE_				=				AddedToken(_lowercase,     lstrip=_lowercase,     rstrip=_lowercase       ) if isinstance(_lowercase,     _lowercase       ) else sep_token
											SCREAMING_SNAKE_CASE_				=				AddedToken(_lowercase,     lstrip=_lowercase,     rstrip=_lowercase       ) if isinstance(_lowercase,     _lowercase       ) else cls_token
											SCREAMING_SNAKE_CASE_				=				AddedToken(_lowercase,     lstrip=_lowercase,     rstrip=_lowercase       ) if isinstance(_lowercase,     _lowercase       ) else unk_token
											SCREAMING_SNAKE_CASE_				=				AddedToken(_lowercase,     lstrip=_lowercase,     rstrip=_lowercase       ) if isinstance(_lowercase,     _lowercase       ) else pad_token

											# Mask token behave like a normal word, i.e. include the space before it
											SCREAMING_SNAKE_CASE_				=				AddedToken(_lowercase,     lstrip=_lowercase,     rstrip=_lowercase       ) if isinstance(_lowercase,     _lowercase       ) else mask_token

											super().__init__(
											    errors=_lowercase,     bos_token=_lowercase,     eos_token=_lowercase,     unk_token=_lowercase,     sep_token=_lowercase,     cls_token=_lowercase,     pad_token=_lowercase,     mask_token=_lowercase,     add_prefix_space=_lowercase,     **_lowercase,     )

											with open(_lowercase,     encoding='utf-8'       ) as vocab_handle:
																		SCREAMING_SNAKE_CASE_				=				json.load(_lowercase       )
											SCREAMING_SNAKE_CASE_				=				{v: k for k, v in self.encoder.items()}
											SCREAMING_SNAKE_CASE_				=				errors  # how to handle errors in decoding
											SCREAMING_SNAKE_CASE_				=				bytes_to_unicode()
											SCREAMING_SNAKE_CASE_				=				{v: k for k, v in self.byte_encoder.items()}
											with open(_lowercase,     encoding='utf-8'       ) as merges_handle:
																		SCREAMING_SNAKE_CASE_				=				merges_handle.read().split('\n'       )[1:-1]
											SCREAMING_SNAKE_CASE_				=				[tuple(merge.split()       ) for merge in bpe_merges]
											SCREAMING_SNAKE_CASE_				=				dict(zip(_lowercase,     range(len(_lowercase       )       )       )       )
											SCREAMING_SNAKE_CASE_				=				{}
											SCREAMING_SNAKE_CASE_				=				add_prefix_space

											# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
											SCREAMING_SNAKE_CASE_				=				re.compile(R'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'       )



				@property
				# Copied from transformers.models.bart.tokenization_bart.BartTokenizer.vocab_size
				def   a__					(    self       )     ->							Tuple:
											return len(self.encoder       )



				def   a__					(    self       )     ->							Any:
											return dict(self.encoder,     **self.added_tokens_encoder       )



				def   a__					(    self,     _lowercase       )     ->							List[Any]:
											if token in self.cache:
																		return self.cache[token]
											SCREAMING_SNAKE_CASE_				=				tuple(_lowercase       )
											SCREAMING_SNAKE_CASE_				=				get_pairs(_lowercase       )

											if not pairs:
																		return token

											while True:
																		SCREAMING_SNAKE_CASE_				=				min(_lowercase,     key=lambda _lowercase       : self.bpe_ranks.get(_lowercase,     float('inf'       )       )       )
																		if bigram not in self.bpe_ranks:
																									break
																		SCREAMING_SNAKE_CASE_				,    SCREAMING_SNAKE_CASE_				=				bigram
																		SCREAMING_SNAKE_CASE_				=				[]
																		SCREAMING_SNAKE_CASE_				=				0
																		while i < len(_lowercase       ):
																									try:
																																SCREAMING_SNAKE_CASE_				=				word.index(_lowercase,     _lowercase       )
																									except ValueError:
																																new_word.extend(word[i:]       )
																																break
																									else:
																																new_word.extend(word[i:j]       )
																																SCREAMING_SNAKE_CASE_				=				j

																									if word[i] == first and i < len(_lowercase       ) - 1 and word[i + 1] == second:
																																new_word.append(first + second       )
																																i += 2
																									else:
																																new_word.append(word[i]       )
																																i += 1
																		SCREAMING_SNAKE_CASE_				=				tuple(_lowercase       )
																		SCREAMING_SNAKE_CASE_				=				new_word
																		if len(_lowercase       ) == 1:
																									break
																		else:
																									SCREAMING_SNAKE_CASE_				=				get_pairs(_lowercase       )
											SCREAMING_SNAKE_CASE_				=				' '.join(_lowercase       )
											SCREAMING_SNAKE_CASE_				=				word
											return word



				def   a__					(    self,     _lowercase       )     ->							List[str]:
											SCREAMING_SNAKE_CASE_				=				[]
											for token in re.findall(self.pat,     _lowercase       ):
																		SCREAMING_SNAKE_CASE_				=				''.join(
																		    self.byte_encoder[b] for b in token.encode('utf-8'       )       )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
																		bpe_tokens.extend(bpe_token for bpe_token in self.bpe(_lowercase       ).split(' '       )       )
											return bpe_tokens



				def   a__					(    self,     _lowercase       )     ->							List[str]:
											return self.encoder.get(_lowercase,     self.encoder.get(self.unk_token       )       )



				def   a__					(    self,     _lowercase       )     ->							Tuple:
											return self.decoder.get(_lowercase       )



				def   a__					(    self,     _lowercase       )     ->							List[Any]:
											SCREAMING_SNAKE_CASE_				=				''.join(_lowercase       )
											SCREAMING_SNAKE_CASE_				=				bytearray([self.byte_decoder[c] for c in text]       ).decode('utf-8',     errors=self.errors       )
											return text



				def   a__					(    self,     _lowercase,     _lowercase = None       )     ->							Tuple[str]:
											if not os.path.isdir(_lowercase       ):
																		logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""       )
																		return
											SCREAMING_SNAKE_CASE_				=				os.path.join(
											    _lowercase,     (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']       )
											SCREAMING_SNAKE_CASE_				=				os.path.join(
											    _lowercase,     (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']       )

											with open(_lowercase,     'w',     encoding='utf-8'       ) as f:
																		f.write(json.dumps(self.encoder,     indent=2,     sort_keys=_lowercase,     ensure_ascii=_lowercase       ) + '\n'       )

											SCREAMING_SNAKE_CASE_				=				0
											with open(_lowercase,     'w',     encoding='utf-8'       ) as writer:
																		writer.write('#version: 0.2\n'       )
																		for bpe_tokens, token_index in sorted(self.bpe_ranks.items(),     key=lambda _lowercase       : kv[1]       ):
																									if index != token_index:
																																logger.warning(
																																    f"""Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."""
																																    ' Please check that the tokenizer is not corrupted!'       )
																																SCREAMING_SNAKE_CASE_				=				token_index
																									writer.write(' '.join(_lowercase       ) + '\n'       )
																									index += 1

											return vocab_file, merge_file



				def   a__					(    self,     _lowercase,     _lowercase = None       )     ->							List[int]:
											if token_ids_a is None:
																		return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
											SCREAMING_SNAKE_CASE_				=				[self.cls_token_id]
											SCREAMING_SNAKE_CASE_				=				[self.sep_token_id]
											return cls + token_ids_a + sep + sep + token_ids_a + sep



				def   a__					(    self,     _lowercase,     _lowercase = None,     _lowercase = False       )     ->							List[int]:
											if already_has_special_tokens:
																		return super().get_special_tokens_mask(
																		    token_ids_a=_lowercase,     token_ids_a=_lowercase,     already_has_special_tokens=_lowercase       )

											if token_ids_a is None:
																		return [1] + ([0] * len(_lowercase       )) + [1]
											return [1] + ([0] * len(_lowercase       )) + [1, 1] + ([0] * len(_lowercase       )) + [1]



				def   a__					(    self,     _lowercase,     _lowercase = None       )     ->							List[int]:
											SCREAMING_SNAKE_CASE_				=				[self.sep_token_id]
											SCREAMING_SNAKE_CASE_				=				[self.cls_token_id]

											if token_ids_a is None:
																		return len(cls + token_ids_a + sep       ) * [0]
											return len(cls + token_ids_a + sep + sep + token_ids_a + sep       ) * [0]



				def   a__					(    self,     _lowercase,     _lowercase=False,     **_lowercase       )     ->							Tuple:
											SCREAMING_SNAKE_CASE_				=				kwargs.pop('add_prefix_space',     self.add_prefix_space       )
											if (is_split_into_words or add_prefix_space) and (len(_lowercase       ) > 0 and not text[0].isspace()):
																		SCREAMING_SNAKE_CASE_				=				' ' + text
											return (text, kwargs)





				def   a__					(    self,     _lowercase,     _lowercase = None,     _lowercase = PaddingStrategy.DO_NOT_PAD,     _lowercase = None,     _lowercase = None,     )     ->							dict:
											SCREAMING_SNAKE_CASE_				=				super()._pad(
											    encoded_inputs=_lowercase,     max_length=_lowercase,     padding_strategy=_lowercase,     pad_to_multiple_of=_lowercase,     return_attention_mask=_lowercase,     )

											# Load from model defaults
											if return_attention_mask is None:
																		SCREAMING_SNAKE_CASE_				=				'attention_mask' in self.model_input_names

											if return_attention_mask and "global_attention_mask" in encoded_inputs:
																		SCREAMING_SNAKE_CASE_				=				encoded_inputs[self.model_input_names[0]]
																		# `global_attention_mask` need to have the same length as other (sequential) inputs.
																		SCREAMING_SNAKE_CASE_				=				len(encoded_inputs['global_attention_mask']       ) != len(_lowercase       )

																		if needs_to_be_padded:
																									SCREAMING_SNAKE_CASE_				=				len(_lowercase       ) - len(encoded_inputs['global_attention_mask']       )

																									if self.padding_side == "right":
																																# Use `-1` since `0` in `global_attention_mask` means `local attention` instead of `not to attend`
																																SCREAMING_SNAKE_CASE_				=				(
																																    encoded_inputs['global_attention_mask'] + [-1] * difference
																																)
																									elif self.padding_side == "left":
																																SCREAMING_SNAKE_CASE_				=				[-1] * difference + encoded_inputs[
																																    'global_attention_mask'
																																]
																									else:
																																raise ValueError('Invalid padding strategy:' + str(self.padding_side       )       )

											return encoded_inputs








'''simple docstring'''

def 							_UpperCamelCase				(   lowerCAmelCase__:					int		,lowerCAmelCase__:					bool = False   )      -> bool:
							if n == 2:
														return True
							if not n % 2 or n < 2:
														return False
							if n > 5 and n % 10 not in (1, 3, 7, 9):  # can quickly check last digit
														return False
							if n > 3_3170_4406_4679_8873_8596_1981 and not allow_probable:
														raise ValueError(
														    'Warning: upper bound of deterministic test is exceeded. '
														    'Pass allow_probable=True to allow probabilistic test. '
														    'A return value of True indicates a probable prime.'   )
							# array bounds provided by analysis
							SCREAMING_SNAKE_CASE_				=				[
							    2047,
							    137_3653,
							    2532_6001,
							    32_1503_1751,
							    2_1523_0289_8747,
							    3_4747_4966_0383,
							    341_5500_7172_8321,
							    1,
							    382_5123_0565_4641_3051,
							    1,
							    1,
							    3186_6585_7834_0311_5116_7461,
							    3_3170_4406_4679_8873_8596_1981,
							]

							SCREAMING_SNAKE_CASE_				=				[2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41]
							for idx, _p in enumerate(lowerCAmelCase__		,1   ):
														if n < _p:
																					# then we have our last prime to check
																					SCREAMING_SNAKE_CASE_				=				primes[:idx]
																					break
							SCREAMING_SNAKE_CASE_				,    SCREAMING_SNAKE_CASE_				=				n - 1, 0
							# break up n -1 into a power of 2 (s) and
							# remaining odd component
							# essentially, solve for d * 2 ** s == n - 1
							while d % 2 == 0:
														d //= 2
														s += 1
							for prime in plist:
														SCREAMING_SNAKE_CASE_				=				False
														for r in range(lowerCAmelCase__   ):
																					SCREAMING_SNAKE_CASE_				=				pow(lowerCAmelCase__		,d * 2**r		,lowerCAmelCase__   )
																					# see article for analysis explanation for m
																					if (r == 0 and m == 1) or ((m + 1) % n == 0):
																												SCREAMING_SNAKE_CASE_				=				True
																												# this loop will not determine compositeness
																												break
														if pr:
																					continue
														# if pr is False, then the above loop never evaluated to true,
														# and the n MUST be composite
														return False
							return True




def 							_UpperCamelCase				(   )      -> None:
							assert not miller_rabin(561   )
							assert miller_rabin(563   )
							# 2047

							assert not miller_rabin(83_8201   )
							assert miller_rabin(83_8207   )
							# 1_373_653

							assert not miller_rabin(1731_6001   )
							assert miller_rabin(1731_6017   )
							# 25_326_001

							assert not miller_rabin(30_7838_6641   )
							assert miller_rabin(30_7838_6653   )
							# 3_215_031_751

							assert not miller_rabin(1_7130_4557_4801   )
							assert miller_rabin(1_7130_4557_4819   )
							# 2_152_302_898_747

							assert not miller_rabin(2_7797_9972_8307   )
							assert miller_rabin(2_7797_9972_8327   )
							# 3_474_749_660_383

							assert not miller_rabin(113_8500_2390_9441   )
							assert miller_rabin(113_8500_2390_9527   )
							# 341_550_071_728_321

							assert not miller_rabin(127_5041_0188_4880_4351   )
							assert miller_rabin(127_5041_0188_4880_4391   )
							# 3_825_123_056_546_413_051

							assert not miller_rabin(796_6646_4458_5077_8779_1867   )
							assert miller_rabin(796_6646_4458_5077_8779_1951   )
							# 318_665_857_834_031_151_167_461

							assert not miller_rabin(5528_4067_7446_6478_9766_0333   )
							assert miller_rabin(5528_4067_7446_6478_9766_0359   )
							# 3_317_044_064_679_887_385_961_981
							# upper limit for probabilistic test


if __name__ == "__main__":
							test_miller_rabin()





