



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': 5_12}


def 		_UpperCAmelCase				(      snake_case			):





					"""simple docstring"""

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

					_lowerCAmelCase						=    set(_UpperCamelCase			)
					return pairs





class 					__lowerCAmelCase (     lowerCamelCase__       ):
				__lowerCamelCase =				VOCAB_FILES_NAMES
				__lowerCamelCase =				PRETRAINED_VOCAB_FILES_MAP
				__lowerCamelCase =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__lowerCamelCase =				['''input_ids''', '''attention_mask''']




				def __init__(							self						,				_snake_case						,				_snake_case						,				_snake_case="__start__"						,				_snake_case="__end__"						,				_snake_case="__unk__"						,				_snake_case="__null__"						,				**_snake_case						,				):



									"""simple docstring"""





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

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




				@property
				def 							snake_case   (							self		):



									"""simple docstring"""





									return len(self.encoder		)




				def 							snake_case   (							self		):



									"""simple docstring"""





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




				def 							snake_case   (							self						,				_snake_case		):



									"""simple docstring"""





									if token in self.cache:
														return self.cache[token]
									_lowerCAmelCase						=    re.sub("""([.,!?()])"""						,				R""" \1"""						,				_snake_case		)
									_lowerCAmelCase						=    re.sub("""(')"""						,				R""" \1 """						,				_snake_case		)
									_lowerCAmelCase						=    re.sub(R"""\s{2,}"""						,				""" """						,				_snake_case		)
									if "\n" in token:
														_lowerCAmelCase						=    token.replace("""\n"""						,				""" __newln__"""		)

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

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

														if not pairs:
																			words.append(_snake_case		)
																			continue

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

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

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

														_lowerCAmelCase						=    word
														words.append(_snake_case		)
									return " ".join(_snake_case		)




				def 							snake_case   (							self						,				_snake_case		):



									"""simple docstring"""





									_lowerCAmelCase						=    []

									_lowerCAmelCase						=    re.findall(R"""\S+\n?"""						,				_snake_case		)

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




				def 							snake_case   (							self						,				_snake_case		):



									"""simple docstring"""





									_lowerCAmelCase						=    token.lower()
									return self.encoder.get(_snake_case						,				self.encoder.get(self.unk_token		)		)




				def 							snake_case   (							self						,				_snake_case		):



									"""simple docstring"""





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




				def 							snake_case   (							self						,				_snake_case		):



									"""simple docstring"""





									_lowerCAmelCase						=    """ """.join(_snake_case		).replace("""@@ """						,				""""""		).strip()
									return out_string




				def 							snake_case   (							self						,				_snake_case						,				_snake_case = None		):



									"""simple docstring"""





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

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

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

									return vocab_file, merge_file







"""simple docstring"""






import re
def      lowerCamelCase       (     _UpperCamelCase		:      str							)		->       str:

							'''simple docstring'''



							if len(re.findall("""[ATCG]"""       ,			_UpperCamelCase							)							) != len(_UpperCamelCase							):
														raise ValueError("""Invalid Strand"""							)

							return dna.translate(dna.maketrans("""ATCG"""       ,			"""TAGC"""							)							)


if __name__ == "__main__":
							import doctest

							doctest.testmod()
