


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

import regex as re

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


_lowercase       :      Optional[int]	=	logging.get_logger(__name__)


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

_lowercase       :      List[Any]	=	{
    "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"
        )
    },
}

_lowercase       :      List[str]	=	{"facebook/blenderbot_small-90M": 512}





def   _lowerCAmelCase				(   UpperCamelCase__:     List[str]						) ->   Union[str, Any]:





	"""simple docstring"""







	A								=				set()
	A								=				word[0]
	for char in word[1:]:
		pairs.add((prev_char, char)						)
		A								=				char

	A								=				set(UpperCamelCase__						)
	return pairs






class       _UpperCamelCase    (					__snake_case				):

				"""simple docstring"""







				lowerCAmelCase 		= VOCAB_FILES_NAMES
				lowerCAmelCase 		= PRETRAINED_VOCAB_FILES_MAP
				lowerCAmelCase 		= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				lowerCAmelCase 		= ['input_ids', 'attention_mask']

				def __init__(						self				,   a__				,   a__				,   a__="__start__"				,   a__="__end__"				,   a__="__unk__"				,   a__="__null__"				,   **a__				,   )	->				Dict:
					super().__init__(unk_token=a__				,   bos_token=a__				,   eos_token=a__				,   pad_token=a__				,   **a__   )

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

				@property
				def      _UpperCAmelCase					(						self   )	->				int:
					return len(self.encoder   )

				def      _UpperCAmelCase					(						self   )	->				Dict:
					return dict(self.encoder				,   **self.added_tokens_encoder   )

				def      _UpperCAmelCase					(						self				,   a__   )	->				str:
					if token in self.cache:
						return self.cache[token]
					A								=				re.sub("""([.,!?()])"""				,   r""" \1"""				,   a__   )
					A								=				re.sub("""(')"""				,   r""" \1 """				,   a__   )
					A								=				re.sub(r"""\s{2,}"""				,   """ """				,   a__   )
					if "\n" in token:
						A								=				token.replace("""\n"""				,   """ __newln__"""   )

					A								=				token.split(""" """   )
					A								=				[]
					for token in tokens:
						if not len(a__   ):
							continue

						A								=				token.lower()
						A								=				tuple(a__   )
						A								=				tuple(list(word[:-1]   ) + [word[-1] + """</w>"""]   )
						A								=				get_pairs(a__   )

						if not pairs:
							words.append(a__   )
							continue

						while True:
							A								=				min(a__				,   key=lambda a__   : self.bpe_ranks.get(a__				,   float("""inf"""   )   )   )
							if bigram not in self.bpe_ranks:
								break
							A					,			A								=				bigram
							A								=				[]
							A								=				0

							while i < len(a__   ):
								try:
									A								=				word.index(a__				,   a__   )
									new_word.extend(word[i:j]   )
									A								=				j
								except ValueError:
									new_word.extend(word[i:]   )
									break

								if word[i] == first and i < len(a__   ) - 1 and word[i + 1] == second:
									new_word.append(first + second   )
									i += 2
								else:
									new_word.append(word[i]   )
									i += 1
							A								=				tuple(a__   )
							A								=				new_word
							if len(a__   ) == 1:
								break
							else:
								A								=				get_pairs(a__   )
						A								=				"""@@ """.join(a__   )
						A								=				word[:-4]

						A								=				word
						words.append(a__   )
					return " ".join(a__   )

				def      _UpperCAmelCase					(						self				,   a__   )	->				List[str]:
					A								=				[]

					A								=				re.findall(r"""\S+\n?"""				,   a__   )

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

				def      _UpperCAmelCase					(						self				,   a__   )	->				int:
					A								=				token.lower()
					return self.encoder.get(a__				,   self.encoder.get(self.unk_token   )   )

				def      _UpperCAmelCase					(						self				,   a__   )	->				str:
					return self.decoder.get(a__				,   self.unk_token   )

				def      _UpperCAmelCase					(						self				,   a__   )	->				str:
					A								=				""" """.join(a__   ).replace("""@@ """				,   """"""   ).strip()
					return out_string

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

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

					A								=				0
					with open(a__				,   """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 a__   : 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!"""   )
								A								=				token_index
							writer.write(""" """.join(a__   ) + """\n"""   )
							index += 1

					return vocab_file, merge_file







import math





def   _lowerCAmelCase				(   UpperCamelCase__:     int						) ->   bool:





	"""simple docstring"""







	if 1 < number < 4:
		# 2 and 3 are primes
		return True
	elif number < 2 or number % 2 == 0 or number % 3 == 0:
		# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
		return False

	# All primes number are in format of 6k +/- 1
	for i in range(5							,					int(math.sqrt(UpperCamelCase__						) + 1						)							,					6						):
		if number % i == 0 or number % (i + 2) == 0:
			return False
	return True





def   _lowerCAmelCase				(   UpperCamelCase__:     float = 0.1						) ->   int:





	"""simple docstring"""







	A								=				3
	A								=				3

	while primes / (2 * j - 1) >= ratio:
		for i in range(j * j + j + 1							,					(j + 2) * (j + 2)							,					j + 1						):
			primes += is_prime(UpperCamelCase__						)
		j += 2
	return j


if __name__ == "__main__":
				import doctest

				doctest.testmod()



