'''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


UpperCamelCase_      	=	logging.get_logger(__name__)


UpperCamelCase_      	=	{
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
}

UpperCamelCase_      	=	{
    '''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'''
        )
    },
}

UpperCamelCase_      	=	{'''facebook/blenderbot_small-90M''': 5_12}


def    lowerCamelCase       (			UpperCAmelCase__				:  int		)			->	Optional[int]:


							'''simple docstring'''






							SCREAMING_SNAKE_CASE__     :List[str]						    = set()
							SCREAMING_SNAKE_CASE__     :Tuple						    = word[0]
							for char in word[1:]:
														pairs.add((prev_char, char)		)
														SCREAMING_SNAKE_CASE__     :Dict						    = char

							SCREAMING_SNAKE_CASE__     :List[Any]						    = set(UpperCAmelCase__		)
							return pairs





class _SCREAMING_SNAKE_CASE(							_SCREAMING_SNAKE_CASE					):
						A_			:							str     		= VOCAB_FILES_NAMES
						A_			:							Tuple     		= PRETRAINED_VOCAB_FILES_MAP
						A_			:							List[str]     		= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						A_			:							List[str]     		= ['input_ids', 'attention_mask']




						def __init__(    self :       Optional[int]							,							UpperCamelCase_ :       Dict							,							UpperCamelCase_ :       Union[str, Any]							,							UpperCamelCase_ :       Optional[int]="__start__"							,							UpperCamelCase_ :       List[str]="__end__"							,							UpperCamelCase_ :       List[Any]="__unk__"							,							UpperCamelCase_ :       int="__null__"							,							**UpperCamelCase_ :       Optional[Any]							,							)     ->				int:
													super().__init__(unk_token=UpperCamelCase_							,							bos_token=UpperCamelCase_							,							eos_token=UpperCamelCase_							,							pad_token=UpperCamelCase_							,							**UpperCamelCase_      )

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




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




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




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

													SCREAMING_SNAKE_CASE__     :List[Any]						    = token.split(' '      )
													SCREAMING_SNAKE_CASE__     :Optional[Any]						    = []
													for token in tokens:
																				if not len(UpperCamelCase_      ):
																											continue

																				SCREAMING_SNAKE_CASE__     :Dict						    = token.lower()
																				SCREAMING_SNAKE_CASE__     :List[str]						    = tuple(UpperCamelCase_      )
																				SCREAMING_SNAKE_CASE__     :Optional[int]						    = tuple(list(word[:-1]      ) + [word[-1] + '</w>']      )
																				SCREAMING_SNAKE_CASE__     :str						    = get_pairs(UpperCamelCase_      )

																				if not pairs:
																											words.append(UpperCamelCase_      )
																											continue

																				while True:
																											SCREAMING_SNAKE_CASE__     :str						    = min(UpperCamelCase_							,							key=lambda UpperCamelCase_      : self.bpe_ranks.get(UpperCamelCase_							,							float('inf'      )      )      )
																											if bigram not in self.bpe_ranks:
																																		break
																											SCREAMING_SNAKE_CASE__    ,      SCREAMING_SNAKE_CASE__     :List[str]						    = bigram
																											SCREAMING_SNAKE_CASE__     :str						    = []
																											SCREAMING_SNAKE_CASE__     :Dict						    = 0

																											while i < len(UpperCamelCase_      ):
																																		try:
																																									SCREAMING_SNAKE_CASE__     :Tuple						    = word.index(UpperCamelCase_							,							UpperCamelCase_      )
																																									new_word.extend(word[i:j]      )
																																									SCREAMING_SNAKE_CASE__     :List[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
																											SCREAMING_SNAKE_CASE__     :Any						    = tuple(UpperCamelCase_      )
																											SCREAMING_SNAKE_CASE__     :Optional[Any]						    = new_word
																											if len(UpperCamelCase_      ) == 1:
																																		break
																											else:
																																		SCREAMING_SNAKE_CASE__     :str						    = get_pairs(UpperCamelCase_      )
																				SCREAMING_SNAKE_CASE__     :Union[str, Any]						    = '@@ '.join(UpperCamelCase_      )
																				SCREAMING_SNAKE_CASE__     :Optional[int]						    = word[:-4]

																				SCREAMING_SNAKE_CASE__     :Optional[Any]						    = word
																				words.append(UpperCamelCase_      )
													return " ".join(UpperCamelCase_      )




						def      __lowerCamelCase       (    self :       Union[str, Any]							,							UpperCamelCase_ :       str      )     ->				List[str]:
													SCREAMING_SNAKE_CASE__     :str						    = []

													SCREAMING_SNAKE_CASE__     :Tuple						    = re.findall(r'\S+\n?'							,							UpperCamelCase_      )

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




						def      __lowerCamelCase       (    self :       Optional[int]							,							UpperCamelCase_ :       str      )     ->				int:
													SCREAMING_SNAKE_CASE__     :Union[str, Any]						    = token.lower()
													return self.encoder.get(UpperCamelCase_							,							self.encoder.get(self.unk_token      )      )




						def      __lowerCamelCase       (    self :       Any							,							UpperCamelCase_ :       int      )     ->				str:
													return self.decoder.get(UpperCamelCase_							,							self.unk_token      )




						def      __lowerCamelCase       (    self :       List[str]							,							UpperCamelCase_ :       List[str]      )     ->				str:
													SCREAMING_SNAKE_CASE__     :int						    = ' '.join(UpperCamelCase_      ).replace('@@ '							,							''      ).strip()
													return out_string




						def      __lowerCamelCase       (    self :       List[Any]							,							UpperCamelCase_ :       str							,							UpperCamelCase_ :       Optional[str] = None      )     ->				Tuple[str]:
													if not os.path.isdir(UpperCamelCase_      ):
																				logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''      )
																				return
													SCREAMING_SNAKE_CASE__     :Dict						    = os.path.join(
													    UpperCamelCase_							,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']      )
													SCREAMING_SNAKE_CASE__     :List[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'      )

													SCREAMING_SNAKE_CASE__     :List[str]						    = 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!'      )
																																		SCREAMING_SNAKE_CASE__     :List[str]						    = token_index
																											writer.write(' '.join(UpperCamelCase_      ) + '\n'      )
																											index += 1

													return vocab_file, merge_file







'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


UpperCamelCase_      	=	{
    '''configuration_blenderbot_small''': [
        '''BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''BlenderbotSmallConfig''',
        '''BlenderbotSmallOnnxConfig''',
    ],
    '''tokenization_blenderbot_small''': ['''BlenderbotSmallTokenizer'''],
}

try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCamelCase_      	=	['''BlenderbotSmallTokenizerFast''']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCamelCase_      	=	[
		    '''BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''BlenderbotSmallForCausalLM''',
		    '''BlenderbotSmallForConditionalGeneration''',
		    '''BlenderbotSmallModel''',
		    '''BlenderbotSmallPreTrainedModel''',
		]

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCamelCase_      	=	[
		    '''TFBlenderbotSmallForConditionalGeneration''',
		    '''TFBlenderbotSmallModel''',
		    '''TFBlenderbotSmallPreTrainedModel''',
		]

try:
		if not is_flax_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCamelCase_      	=	[
		    '''FlaxBlenderbotSmallForConditionalGeneration''',
		    '''FlaxBlenderbotSmallModel''',
		    '''FlaxBlenderbotSmallPreTrainedModel''',
		]

if TYPE_CHECKING:
		from .configuration_blenderbot_small import (
		    BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    BlenderbotSmallConfig,
		    BlenderbotSmallOnnxConfig,
		)
		from .tokenization_blenderbot_small import BlenderbotSmallTokenizer

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_blenderbot_small_fast import BlenderbotSmallTokenizerFast

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_blenderbot_small import (
				    BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST,
				    BlenderbotSmallForCausalLM,
				    BlenderbotSmallForConditionalGeneration,
				    BlenderbotSmallModel,
				    BlenderbotSmallPreTrainedModel,
				)

		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_blenderbot_small import (
				    TFBlenderbotSmallForConditionalGeneration,
				    TFBlenderbotSmallModel,
				    TFBlenderbotSmallPreTrainedModel,
				)

		try:
				if not is_flax_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_flax_blenderbot_small import (
				    FlaxBlenderbotSmallForConditionalGeneration,
				    FlaxBlenderbotSmallModel,
				    FlaxBlenderbotSmallPreTrainedModel,
				)

else:
		import sys

		UpperCamelCase_      	=	_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)






