


import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


_lowercase							:   Union[str, Any]						=						logging.get_logger(__name__)


_lowercase							:   Tuple						=						{"vocab_file": "vocab.json", "merges_file": "merges.txt"}

# See all BART models at https://huggingface.co/models?filter=bart
_lowercase							:   Tuple						=						{
    "vocab_file": {
        "facebook/bart-base": "https://huggingface.co/facebook/bart-base/resolve/main/vocab.json",
        "facebook/bart-large": "https://huggingface.co/facebook/bart-large/resolve/main/vocab.json",
        "facebook/bart-large-mnli": "https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json",
        "facebook/bart-large-cnn": "https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json",
        "facebook/bart-large-xsum": "https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json",
        "yjernite/bart_eli5": "https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json",
    },
    "merges_file": {
        "facebook/bart-base": "https://huggingface.co/facebook/bart-base/resolve/main/merges.txt",
        "facebook/bart-large": "https://huggingface.co/facebook/bart-large/resolve/main/merges.txt",
        "facebook/bart-large-mnli": "https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt",
        "facebook/bart-large-cnn": "https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt",
        "facebook/bart-large-xsum": "https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt",
        "yjernite/bart_eli5": "https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt",
    },
}

_lowercase							:   Dict						=						{
    "facebook/bart-base": 1024,
    "facebook/bart-large": 1024,
    "facebook/bart-large-mnli": 1024,
    "facebook/bart-large-cnn": 1024,
    "facebook/bart-large-xsum": 1024,
    "yjernite/bart_eli5": 1024,
}





@lru_cache()
def 	_lowerCAmelCase					( )			-> Optional[int]:





	"""simple docstring"""







	A             =					(
	    list(range(ord("""!"""    )				,       ord("""~"""    ) + 1    )    ) + list(range(ord("""¡"""    )				,       ord("""¬"""    ) + 1    )    ) + list(range(ord("""®"""    )				,       ord("""ÿ"""    ) + 1    )    )
	)
	A             =					bs[:]
	A             =					0
	for b in range(2**8    ):
		if b not in bs:
			bs.append(UpperCamelCase__    )
			cs.append(2**8 + n    )
			n += 1
	A             =					[chr(UpperCamelCase__    ) for n in cs]
	return dict(zip(UpperCamelCase__				,       UpperCamelCase__    )    )





def 	_lowerCAmelCase					( UpperCamelCase__:  Tuple    )			-> Optional[int]:





	"""simple docstring"""







	A             =					set()
	A             =					word[0]
	for char in word[1:]:
		pairs.add((prev_char, char)    )
		A             =					char
	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__="replace"					, a__="<s>"					, a__="</s>"					, a__="</s>"					, a__="<s>"					, a__="<unk>"					, a__="<pad>"					, a__="<mask>"					, a__=False					, **a__					, )						->					List[Any]:
					A             =					AddedToken(a__					, lstrip=a__					, rstrip=a__ ) if isinstance(a__					, a__ ) else bos_token
					A             =					AddedToken(a__					, lstrip=a__					, rstrip=a__ ) if isinstance(a__					, a__ ) else eos_token
					A             =					AddedToken(a__					, lstrip=a__					, rstrip=a__ ) if isinstance(a__					, a__ ) else sep_token
					A             =					AddedToken(a__					, lstrip=a__					, rstrip=a__ ) if isinstance(a__					, a__ ) else cls_token
					A             =					AddedToken(a__					, lstrip=a__					, rstrip=a__ ) if isinstance(a__					, a__ ) else unk_token
					A             =					AddedToken(a__					, lstrip=a__					, rstrip=a__ ) if isinstance(a__					, a__ ) else pad_token

					# Mask token behave like a normal word, i.e. include the space before it
					A             =					AddedToken(a__					, lstrip=a__					, rstrip=a__ ) if isinstance(a__					, a__ ) else mask_token

					super().__init__(
					    errors=a__					, bos_token=a__					, eos_token=a__					, unk_token=a__					, sep_token=a__					, cls_token=a__					, pad_token=a__					, mask_token=a__					, add_prefix_space=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()}
					A             =					errors  # how to handle errors in decoding
					A             =					bytes_to_unicode()
					A             =					{v: k for k, v in self.byte_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 bpe_merges]
					A             =					dict(zip(a__					, range(len(a__ ) ) ) )
					A             =					{}
					A             =					add_prefix_space

					# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
					A             =					re.compile(r"""'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+""" )

				@property
				def   _UpperCAmelCase       (    self )						->					List[str]:
					return len(self.encoder )

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

				def   _UpperCAmelCase       (    self					, a__ )						->					Any:
					if token in self.cache:
						return self.cache[token]
					A             =					tuple(a__ )
					A             =					get_pairs(a__ )

					if not pairs:
						return token

					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__ )
							except ValueError:
								new_word.extend(word[i:] )
								break
							else:
								new_word.extend(word[i:j] )
								A             =					j

							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
					return word

				def   _UpperCAmelCase       (    self					, a__ )						->					List[str]:
					A             =					[]
					for token in re.findall(self.pat					, a__ ):
						A             =					"""""".join(
						    self.byte_encoder[b] for b in token.encode("""utf-8""" ) )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
						bpe_tokens.extend(bpe_token for bpe_token in self.bpe(a__ ).split(""" """ ) )
					return bpe_tokens

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

				def   _UpperCAmelCase       (    self					, a__ )						->					Optional[Any]:
					return self.decoder.get(a__ )

				def   _UpperCAmelCase       (    self					, a__ )						->					List[str]:
					A             =					"""""".join(a__ )
					A             =					bytearray([self.byte_decoder[c] for c in text] ).decode("""utf-8"""					, errors=self.errors )
					return text

				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

				def   _UpperCAmelCase       (    self					, a__					, a__ = None )						->					List[int]:
					if token_ids_a is None:
						return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
					A             =					[self.cls_token_id]
					A             =					[self.sep_token_id]
					return cls + token_ids_a + sep + sep + token_ids_a + sep

				def   _UpperCAmelCase       (    self					, a__					, a__ = None					, a__ = False )						->					List[int]:
					if already_has_special_tokens:
						return super().get_special_tokens_mask(
						    token_ids_a=a__					, token_ids_a=a__					, already_has_special_tokens=a__ )

					if token_ids_a is None:
						return [1] + ([0] * len(a__ )) + [1]
					return [1] + ([0] * len(a__ )) + [1, 1] + ([0] * len(a__ )) + [1]

				def   _UpperCAmelCase       (    self					, a__					, a__ = None )						->					List[int]:
					A             =					[self.sep_token_id]
					A             =					[self.cls_token_id]

					if token_ids_a is None:
						return len(cls + token_ids_a + sep ) * [0]
					return len(cls + token_ids_a + sep + sep + token_ids_a + sep ) * [0]

				def   _UpperCAmelCase       (    self					, a__					, a__=False					, **a__ )						->					Any:
					A             =					kwargs.pop("""add_prefix_space"""					, self.add_prefix_space )
					if (is_split_into_words or add_prefix_space) and (len(a__ ) > 0 and not text[0].isspace()):
						A             =					""" """ + text
					return (text, kwargs)







_lowercase							:   Dict						=						"0.21.0"

from .accelerator import Accelerator
from .big_modeling import (
    cpu_offload,
    cpu_offload_with_hook,
    disk_offload,
    dispatch_model,
    init_empty_weights,
    init_on_device,
    load_checkpoint_and_dispatch,
)
from .data_loader import skip_first_batches
from .launchers import debug_launcher, notebook_launcher
from .state import PartialState
from .utils import (
    DeepSpeedPlugin,
    DistributedDataParallelKwargs,
    DistributedType,
    FullyShardedDataParallelPlugin,
    GradScalerKwargs,
    InitProcessGroupKwargs,
    find_executable_batch_size,
    infer_auto_device_map,
    is_rich_available,
    load_checkpoint_in_model,
    synchronize_rng_states,
)


if is_rich_available():
				from .utils import rich



