



"""simple docstring"""


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


snake_case_								=			logging.get_logger(__name__)


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

# See all MVP models at https://huggingface.co/models?filter=mvp
snake_case_								=			{
    """vocab_file""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json""",
    },
    """added_tokens.json""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json""",
    },
    """merges_file""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt""",
    },
}

snake_case_								=			{
    """RUCAIBox/mvp""": 1024,
}

@lru_cache()
def 					_lowerCAmelCase (  ):
						UpperCAmelCase			 =					(
						    list(range(ord('!'		)						,      ord('~'		) + 1		)		) + list(range(ord('¡'		)						,      ord('¬'		) + 1		)		) + list(range(ord('®'		)						,      ord('ÿ'		) + 1		)		)
						)
						UpperCAmelCase			 =					bs[:]
						UpperCAmelCase			 =					0
						for b in range(2**8		):
												if b not in bs:
																		bs.append(lowercase_		)
																		cs.append(2**8 + n		)
																		n += 1
						UpperCAmelCase			 =					[chr(lowercase_		) for n in cs]
						return dict(zip(lowercase_						,      lowercase_		)		)

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







class  A_     (	SCREAMING_SNAKE_CASE_							):



						"""simple docstring"""
						__UpperCamelCase													=				VOCAB_FILES_NAMES
						__UpperCamelCase													=				PRETRAINED_VOCAB_FILES_MAP
						__UpperCamelCase													=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						__UpperCamelCase													=				["""input_ids""", """attention_mask"""]






						def __init__(   self					:Optional[int]  ,    lowercase_					:int  ,    lowercase_					:str  ,    lowercase_					:Tuple="replace"  ,    lowercase_					:Tuple="<s>"  ,    lowercase_					:Dict="</s>"  ,    lowercase_					:Any="</s>"  ,    lowercase_					:Tuple="<s>"  ,    lowercase_					:List[Any]="<unk>"  ,    lowercase_					:List[str]="<pad>"  ,    lowercase_					:Optional[Any]="<mask>"  ,    lowercase_					:int=False  ,    **lowercase_					:Union[str, Any]  ,    )							->     Any:
												UpperCAmelCase			 =					AddedToken(lowercase_  ,    lstrip=lowercase_  ,    rstrip=lowercase_   ) if isinstance(lowercase_  ,    lowercase_   ) else bos_token
												UpperCAmelCase			 =					AddedToken(lowercase_  ,    lstrip=lowercase_  ,    rstrip=lowercase_   ) if isinstance(lowercase_  ,    lowercase_   ) else eos_token
												UpperCAmelCase			 =					AddedToken(lowercase_  ,    lstrip=lowercase_  ,    rstrip=lowercase_   ) if isinstance(lowercase_  ,    lowercase_   ) else sep_token
												UpperCAmelCase			 =					AddedToken(lowercase_  ,    lstrip=lowercase_  ,    rstrip=lowercase_   ) if isinstance(lowercase_  ,    lowercase_   ) else cls_token
												UpperCAmelCase			 =					AddedToken(lowercase_  ,    lstrip=lowercase_  ,    rstrip=lowercase_   ) if isinstance(lowercase_  ,    lowercase_   ) else unk_token
												UpperCAmelCase			 =					AddedToken(lowercase_  ,    lstrip=lowercase_  ,    rstrip=lowercase_   ) if isinstance(lowercase_  ,    lowercase_   ) else pad_token

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

												super().__init__(
												    errors=lowercase_  ,    bos_token=lowercase_  ,    eos_token=lowercase_  ,    unk_token=lowercase_  ,    sep_token=lowercase_  ,    cls_token=lowercase_  ,    pad_token=lowercase_  ,    mask_token=lowercase_  ,    add_prefix_space=lowercase_  ,    **lowercase_  ,    )
												with open(lowercase_  ,    encoding='utf-8'   ) as vocab_handle:
																		UpperCAmelCase			 =					json.load(lowercase_   )
												UpperCAmelCase			 =					{v: k for k, v in self.encoder.items()}
												UpperCAmelCase			 =					errors  # how to handle errors in decoding
												UpperCAmelCase			 =					bytes_to_unicode()
												UpperCAmelCase			 =					{v: k for k, v in self.byte_encoder.items()}
												with open(lowercase_  ,    encoding='utf-8'   ) as merges_handle:
																		UpperCAmelCase			 =					merges_handle.read().split('\n'   )[1:-1]
												UpperCAmelCase			 =					[tuple(merge.split()   ) for merge in bpe_merges]
												UpperCAmelCase			 =					dict(zip(lowercase_  ,    range(len(lowercase_   )   )   )   )
												UpperCAmelCase			 =					{}
												UpperCAmelCase			 =					add_prefix_space

												# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
												UpperCAmelCase			 =					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]   )							->     Any:
												return len(self.encoder   )






						def       UpperCAmelCase__	(   self					:List[str]   )							->     Dict:
												return dict(self.encoder  ,    **self.added_tokens_encoder   )






						def       UpperCAmelCase__	(   self					:Optional[int]  ,    lowercase_					:Optional[Any]   )							->     List[str]:
												if token in self.cache:
																		return self.cache[token]
												UpperCAmelCase			 =					tuple(lowercase_   )
												UpperCAmelCase			 =					get_pairs(lowercase_   )

												if not pairs:
																		return token

												while True:
																		UpperCAmelCase			 =					min(lowercase_  ,    key=lambda lowercase_   : self.bpe_ranks.get(lowercase_  ,    float('inf'   )   )   )
																		if bigram not in self.bpe_ranks:
																								break
																		UpperCAmelCase ,       UpperCAmelCase			 =					bigram
																		UpperCAmelCase			 =					[]
																		UpperCAmelCase			 =					0
																		while i < len(lowercase_   ):
																								try:
																														UpperCAmelCase			 =					word.index(lowercase_  ,    lowercase_   )
																								except ValueError:
																														new_word.extend(word[i:]   )
																														break
																								else:
																														new_word.extend(word[i:j]   )
																														UpperCAmelCase			 =					j

																								if word[i] == first and i < len(lowercase_   ) - 1 and word[i + 1] == second:
																														new_word.append(first + second   )
																														i += 2
																								else:
																														new_word.append(word[i]   )
																														i += 1
																		UpperCAmelCase			 =					tuple(lowercase_   )
																		UpperCAmelCase			 =					new_word
																		if len(lowercase_   ) == 1:
																								break
																		else:
																								UpperCAmelCase			 =					get_pairs(lowercase_   )
												UpperCAmelCase			 =					' '.join(lowercase_   )
												UpperCAmelCase			 =					word
												return word






						def       UpperCAmelCase__	(   self					:List[Any]  ,    lowercase_					:Optional[int]   )							->     Optional[int]:
												UpperCAmelCase			 =					[]
												for token in re.findall(self.pat  ,    lowercase_   ):
																		UpperCAmelCase			 =					''.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(lowercase_   ).split(' '   )   )
												return bpe_tokens






						def       UpperCAmelCase__	(   self					:List[Any]  ,    lowercase_					:List[Any]   )							->     Any:
												return self.encoder.get(lowercase_  ,    self.encoder.get(self.unk_token   )   )






						def       UpperCAmelCase__	(   self					:str  ,    lowercase_					:int   )							->     Dict:
												return self.decoder.get(lowercase_   )






						def       UpperCAmelCase__	(   self					:List[str]  ,    lowercase_					:Any   )							->     Union[str, Any]:
												UpperCAmelCase			 =					''.join(lowercase_   )
												UpperCAmelCase			 =					bytearray([self.byte_decoder[c] for c in text]   ).decode('utf-8'  ,    errors=self.errors   )
												return text






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

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

												UpperCAmelCase			 =					0
												with open(lowercase_  ,    '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 lowercase_   : 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!'   )
																														UpperCAmelCase			 =					token_index
																								writer.write(' '.join(lowercase_   ) + '\n'   )
																								index += 1

												return vocab_file, merge_file






						def       UpperCAmelCase__	(   self					:Tuple  ,    lowercase_					:List[int]  ,    lowercase_					:Optional[List[int]] = None   )							->     List[int]:
												if token_ids_a is None:
																		return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
												UpperCAmelCase			 =					[self.cls_token_id]
												UpperCAmelCase			 =					[self.sep_token_id]
												return cls + token_ids_a + sep + sep + token_ids_a + sep






						def       UpperCAmelCase__	(   self					:Optional[int]  ,    lowercase_					:List[int]  ,    lowercase_					:Optional[List[int]] = None  ,    lowercase_					:bool = False   )							->     List[int]:
												if already_has_special_tokens:
																		return super().get_special_tokens_mask(
																		    token_ids_a=lowercase_  ,    token_ids_a=lowercase_  ,    already_has_special_tokens=lowercase_   )

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






						def       UpperCAmelCase__	(   self					:Tuple  ,    lowercase_					:List[int]  ,    lowercase_					:Optional[List[int]] = None   )							->     List[int]:
												UpperCAmelCase			 =					[self.sep_token_id]
												UpperCAmelCase			 =					[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					:List[str]  ,    lowercase_					:Tuple  ,    lowercase_					:int=False  ,    **lowercase_					:List[Any]   )							->     Optional[int]:
												UpperCAmelCase			 =					kwargs.pop('add_prefix_space'  ,    self.add_prefix_space   )
												if (is_split_into_words or add_prefix_space) and (len(lowercase_   ) > 0 and not text[0].isspace()):
																		UpperCAmelCase			 =					' ' + text
												return (text, kwargs)










import argparse

from . import (
    BertConfig,
    BertGenerationConfig,
    BertGenerationDecoder,
    BertGenerationEncoder,
    load_tf_weights_in_bert_generation,
    logging,
)


logging.set_verbosity_info()
def 						snake_case__							(       __lowercase				,  __lowercase				,  __lowercase				,  __lowercase				,  __lowercase							)		->		Dict:







						"""simple docstring"""

						A__						:				str         =			BertConfig.from_pretrained(
						    "bert-large-cased"				,  vocab_size=__lowercase				,  max_position_embeddings=5_1_2				,  is_decoder=__lowercase				,  add_cross_attention=__lowercase				,  )
						A__						:				List[str]         =			bert_config.to_dict()
						del bert_config_dict["type_vocab_size"]
						A__						:				Union[str, Any]         =			BertGenerationConfig(**__lowercase							)
						if is_encoder:
												A__						:				Optional[int]         =			BertGenerationEncoder(__lowercase							)
						else:
												A__						:				List[Any]         =			BertGenerationDecoder(__lowercase							)
						print(F'Building PyTorch model from configuration: {config}'							)

						# Load weights from tf checkpoint
						load_tf_weights_in_bert_generation(
						    __lowercase				,  __lowercase				,  model_class="bert"				,  is_encoder_named_decoder=__lowercase				,  is_encoder=__lowercase				,  )

						# Save pytorch-model
						print(F'Save PyTorch model and config to {pytorch_dump_path}'							)
						model.save_pretrained(__lowercase							)


if __name__ == "__main__":
		snake_case     :    List[Any]						=    argparse.ArgumentParser()
		# Required parameters
		parser.add_argument(
		    '--tf_hub_path', default=None, type=str, required=True, help='Path to the TensorFlow checkpoint path.'
		)
		parser.add_argument(
		    '--pytorch_dump_path', default=None, type=str, required=True, help='Path to the output PyTorch model.'
		)
		parser.add_argument(
		    '--is_encoder_named_decoder',
		    action='store_true',
		    help='If decoder has to be renamed to encoder in PyTorch model.',
		)
		parser.add_argument('--is_encoder', action='store_true', help='If model is an encoder.')
		parser.add_argument('--vocab_size', default=5_0_3_5_8, type=int, help='Vocab size of model')
		snake_case     :    List[Any]						=    parser.parse_args()
		convert_tf_checkpoint_to_pytorch(
		    args.tf_hub_path,
		    args.pytorch_dump_path,
		    args.is_encoder_named_decoder,
		    args.vocab_size,
		    is_encoder=args.is_encoder,
		)