




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


__UpperCamelCase					:       Union[str, Any]    					=      {
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
    "tokenizer_config_file": "tokenizer_config.json",
}

__UpperCamelCase					:       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"
        )
    },
}

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





def 		__A		(	__lowerCamelCase    )      ->       Optional[Any]:
	a										=							set()
	a										=							word[0]
	for char in word[1:]:
		pairs.add((prev_char, char)    )
		a										=							char

	a										=							set(__lowerCamelCase    )
	return pairs



class 		__lowerCAmelCase	(	__magic_name__ ):
							UpperCamelCase__					     =  VOCAB_FILES_NAMES
							UpperCamelCase__					     =  PRETRAINED_VOCAB_FILES_MAP
							UpperCamelCase__					     =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							UpperCamelCase__					     =  ['''input_ids''', '''attention_mask''']
							def __init__(						self						:List[Any]		,      __magic_name__						:str		,      __magic_name__						:Tuple		,      __magic_name__						:Dict="__start__"		,      __magic_name__						:List[Any]="__end__"		,      __magic_name__						:Optional[Any]="__unk__"		,      __magic_name__						:Union[str, Any]="__null__"		,      **__magic_name__						:Optional[Any]		,      ):







								'''simple docstring'''







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

								with open(__magic_name__		,      encoding="""utf-8"""				) as vocab_handle:
									a										=							json.load(__magic_name__				)
								a										=							{v: k for k, v in self.encoder.items()}
								with open(__magic_name__		,      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(__magic_name__		,      range(len(__magic_name__				)				)				)				)
								a										=							{}
							@property
							def       lowerCamelCase__							(						self						:Dict				):







								'''simple docstring'''







								return len(self.encoder				)
							def       lowerCamelCase__							(						self						:Dict				):







								'''simple docstring'''







								return dict(self.encoder		,      **self.added_tokens_encoder				)
							def       lowerCamelCase__							(						self						:Any		,      __magic_name__						:str				):







								'''simple docstring'''







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

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

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

									if not pairs:
										words.append(__magic_name__				)
										continue

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

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

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

									a										=							word
									words.append(__magic_name__				)
								return " ".join(__magic_name__				)
							def       lowerCamelCase__							(						self						:str		,      __magic_name__						:str				):







								'''simple docstring'''







								a										=							[]

								a										=							re.findall(r"""\S+\n?"""		,      __magic_name__				)

								for token in words:
									split_tokens.extend(list(self.bpe(__magic_name__				).split(""" """				)				)				)
								return split_tokens
							def       lowerCamelCase__							(						self						:Any		,      __magic_name__						:str				):







								'''simple docstring'''







								a										=							token.lower()
								return self.encoder.get(__magic_name__		,      self.encoder.get(self.unk_token				)				)
							def       lowerCamelCase__							(						self						:int		,      __magic_name__						:int				):







								'''simple docstring'''







								return self.decoder.get(__magic_name__		,      self.unk_token				)
							def       lowerCamelCase__							(						self						:Dict		,      __magic_name__						:List[str]				):







								'''simple docstring'''







								a										=							""" """.join(__magic_name__				).replace("""@@ """		,      """"""				).strip()
								return out_string





							def       lowerCamelCase__							(						self						:Dict		,      __magic_name__						:str		,      __magic_name__						:Optional[str] = None				):







								'''simple docstring'''







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

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

								a										=							0
								with open(__magic_name__		,      """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 __magic_name__				: 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(__magic_name__				) + """\n"""				)
										index += 1

								return vocab_file, merge_file







__UpperCamelCase					:       Optional[int]    					=      {
    "Pillow": "Pillow",
    "accelerate": "accelerate>=0.11.0",
    "compel": "compel==0.1.8",
    "black": "black~=23.1",
    "datasets": "datasets",
    "filelock": "filelock",
    "flax": "flax>=0.4.1",
    "hf-doc-builder": "hf-doc-builder>=0.3.0",
    "huggingface-hub": "huggingface-hub>=0.13.2",
    "requests-mock": "requests-mock==1.10.0",
    "importlib_metadata": "importlib_metadata",
    "invisible-watermark": "invisible-watermark",
    "isort": "isort>=5.5.4",
    "jax": "jax>=0.2.8,!=0.3.2",
    "jaxlib": "jaxlib>=0.1.65",
    "Jinja2": "Jinja2",
    "k-diffusion": "k-diffusion>=0.0.12",
    "torchsde": "torchsde",
    "note_seq": "note_seq",
    "librosa": "librosa",
    "numpy": "numpy",
    "omegaconf": "omegaconf",
    "parameterized": "parameterized",
    "protobuf": "protobuf>=3.20.3,<4",
    "pytest": "pytest",
    "pytest-timeout": "pytest-timeout",
    "pytest-xdist": "pytest-xdist",
    "ruff": "ruff>=0.0.241",
    "safetensors": "safetensors",
    "sentencepiece": "sentencepiece>=0.1.91,!=0.1.92",
    "scipy": "scipy",
    "onnx": "onnx",
    "regex": "regex!=2019.12.17",
    "requests": "requests",
    "tensorboard": "tensorboard",
    "torch": "torch>=1.4",
    "torchvision": "torchvision",
    "transformers": "transformers>=4.25.1",
    "urllib3": "urllib3<=2.0.0",
}

