




"""simple docstring"""





import json
import os
from typing import Dict, List, Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


A   =       logging.get_logger(__name__)


A   =       {
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
    """tokenizer_config_file""": """tokenizer_config.json""",
}

A   =       {
    """vocab_file""": {
        """facebook/blenderbot_small-90M""": """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json"""
    },
    """merges_file""": {
        """facebook/blenderbot_small-90M""": """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt"""
    },
    """tokenizer_config_file""": {
        """facebook/blenderbot_small-90M""": (
            """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json"""
        )
    },
}

A   =       {"""facebook/blenderbot_small-90M""": 512}

def 					_UpperCamelCase    (			UpperCamelCase							)			->			List[Any]:


			"""simple docstring"""
			__UpperCAmelCase	: Any		=					set()
			__UpperCAmelCase	: Tuple		=					word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)							)
						__UpperCAmelCase	: Optional[Any]		=					char

			__UpperCAmelCase	: str		=					set(UpperCamelCase							)
			return pairs





class      a__				(	__magic_name__   ):
			lowercase_    =	VOCAB_FILES_NAMES
			lowercase_    =	PRETRAINED_VOCAB_FILES_MAP
			lowercase_    =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowercase_    =	["input_ids", "attention_mask"]


			def __init__(      self      :    str      ,  UpperCamelCase_      :    Tuple      ,  UpperCamelCase_      :    int      ,  UpperCamelCase_      :    List[Any]="__start__"      ,  UpperCamelCase_      :    List[str]="__end__"      ,  UpperCamelCase_      :    int="__unk__"      ,  UpperCamelCase_      :    int="__null__"      ,  **UpperCamelCase_      :    str      ,  ):


						"""simple docstring"""




						super().__init__(unk_token=UpperCamelCase_      ,  bos_token=UpperCamelCase_      ,  eos_token=UpperCamelCase_      ,  pad_token=UpperCamelCase_      ,  **UpperCamelCase_)

						with open(UpperCamelCase_      ,  encoding="utf-8") as vocab_handle:
									__UpperCAmelCase	: str		=					json.load(UpperCamelCase_)
						__UpperCAmelCase	: Dict		=					{v: k for k, v in self.encoder.items()}
						with open(UpperCamelCase_      ,  encoding="utf-8") as merges_handle:
									__UpperCAmelCase	: List[Any]		=					merges_handle.read().split("\n")[1:-1]
						__UpperCAmelCase	: Tuple		=					[tuple(merge.split()) for merge in merges]
						__UpperCAmelCase	: int		=					dict(zip(UpperCamelCase_      ,  range(len(UpperCamelCase_))))
						__UpperCAmelCase	: Any		=					{}


			@property
			def       a_     (      self      :    str):


						"""simple docstring"""




						return len(self.encoder)


			def       a_     (      self      :    List[str]):


						"""simple docstring"""




						return dict(self.encoder      ,  **self.added_tokens_encoder)


			def       a_     (      self      :    Any      ,  UpperCamelCase_      :    str):


						"""simple docstring"""




						if token in self.cache:
									return self.cache[token]
						__UpperCAmelCase	: Optional[int]		=					re.sub("([.,!?()])"      ,  r" \1"      ,  UpperCamelCase_)
						__UpperCAmelCase	: Optional[int]		=					re.sub("(')"      ,  r" \1 "      ,  UpperCamelCase_)
						__UpperCAmelCase	: Union[str, Any]		=					re.sub(r"\s{2,}"      ,  " "      ,  UpperCamelCase_)
						if "\n" in token:
									__UpperCAmelCase	: str		=					token.replace("\n"      ,  " __newln__")

						__UpperCAmelCase	: int		=					token.split(" ")
						__UpperCAmelCase	: List[str]		=					[]
						for token in tokens:
									if not len(UpperCamelCase_):
												continue

									__UpperCAmelCase	: Optional[Any]		=					token.lower()
									__UpperCAmelCase	: str		=					tuple(UpperCamelCase_)
									__UpperCAmelCase	: Optional[Any]		=					tuple(list(word[:-1]) + [word[-1] + "</w>"])
									__UpperCAmelCase	: int		=					get_pairs(UpperCamelCase_)

									if not pairs:
												words.append(UpperCamelCase_)
												continue

									while True:
												__UpperCAmelCase	: List[str]		=					min(UpperCamelCase_      ,  key=lambda UpperCamelCase_: self.bpe_ranks.get(UpperCamelCase_      ,  float("inf")))
												if bigram not in self.bpe_ranks:
															break
												__UpperCAmelCase	,     __UpperCAmelCase	: List[Any]		=					bigram
												__UpperCAmelCase	: Any		=					[]
												__UpperCAmelCase	: Union[str, Any]		=					0

												while i < len(UpperCamelCase_):
															try:
																		__UpperCAmelCase	: int		=					word.index(UpperCamelCase_      ,  UpperCamelCase_)
																		new_word.extend(word[i:j])
																		__UpperCAmelCase	: str		=					j
															except ValueError:
																		new_word.extend(word[i:])
																		break

															if word[i] == first and i < len(UpperCamelCase_) - 1 and word[i + 1] == second:
																		new_word.append(first + second)
																		i += 2
															else:
																		new_word.append(word[i])
																		i += 1
												__UpperCAmelCase	: List[str]		=					tuple(UpperCamelCase_)
												__UpperCAmelCase	: Any		=					new_word
												if len(UpperCamelCase_) == 1:
															break
												else:
															__UpperCAmelCase	: Union[str, Any]		=					get_pairs(UpperCamelCase_)
									__UpperCAmelCase	: Dict		=					"@@ ".join(UpperCamelCase_)
									__UpperCAmelCase	: str		=					word[:-4]

									__UpperCAmelCase	: Dict		=					word
									words.append(UpperCamelCase_)
						return " ".join(UpperCamelCase_)


			def       a_     (      self      :    Optional[Any]      ,  UpperCamelCase_      :    str):


						"""simple docstring"""




						__UpperCAmelCase	: Tuple		=					[]

						__UpperCAmelCase	: List[Any]		=					re.findall(r"\S+\n?"      ,  UpperCamelCase_)

						for token in words:
									split_tokens.extend(list(self.bpe(UpperCamelCase_).split(" ")))
						return split_tokens


			def       a_     (      self      :    str      ,  UpperCamelCase_      :    str):


						"""simple docstring"""




						__UpperCAmelCase	: int		=					token.lower()
						return self.encoder.get(UpperCamelCase_      ,  self.encoder.get(self.unk_token))


			def       a_     (      self      :    str      ,  UpperCamelCase_      :    int):


						"""simple docstring"""




						return self.decoder.get(UpperCamelCase_      ,  self.unk_token)


			def       a_     (      self      :    int      ,  UpperCamelCase_      :    List[str]):


						"""simple docstring"""




						__UpperCAmelCase	: Tuple		=					" ".join(UpperCamelCase_).replace("@@ "      ,  "").strip()
						return out_string


			def       a_     (      self      :    str      ,  UpperCamelCase_      :    str      ,  UpperCamelCase_      :    Optional[str] = None):


						"""simple docstring"""




						if not os.path.isdir(UpperCamelCase_):
									logger.error(F"Vocabulary path ({save_directory}) should be a directory")
									return
						__UpperCAmelCase	: Any		=					os.path.join(
						    UpperCamelCase_      ,  (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"])
						__UpperCAmelCase	: Union[str, Any]		=					os.path.join(
						    UpperCamelCase_      ,  (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"])

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

						__UpperCAmelCase	: Optional[Any]		=					0
						with open(UpperCamelCase_      ,  "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 UpperCamelCase_: 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!")
															__UpperCAmelCase	: Optional[Any]		=					token_index
												writer.write(" ".join(UpperCamelCase_) + "\n")
												index += 1

						return vocab_file, merge_file








"""simple docstring"""





def 					_UpperCamelCase    (			UpperCamelCase				,       UpperCamelCase = False							)			->			bool:


			"""simple docstring"""
			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
			__UpperCAmelCase	: List[str]		=					[
			    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,
			]

			__UpperCAmelCase	: Tuple		=					[2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41]
			for idx, _p in enumerate(UpperCamelCase				,       1							):
						if n < _p:
									# then we have our last prime to check
									__UpperCAmelCase	: Tuple		=					primes[:idx]
									break
			__UpperCAmelCase	,     __UpperCAmelCase	: List[str]		=					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:
						__UpperCAmelCase	: Optional[int]		=					False
						for r in range(UpperCamelCase							):
									__UpperCAmelCase	: Dict		=					pow(UpperCamelCase				,       d * 2**r				,       UpperCamelCase							)
									# see article for analysis explanation for m
									if (r == 0 and m == 1) or ((m + 1) % n == 0):
												__UpperCAmelCase	: Optional[int]		=					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:


			"""simple docstring"""
			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()


