



'''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


_lowerCAmelCase      						=	logging.get_logger(__name__)


_lowerCAmelCase      						=	{'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt'''}

# See all BART models at https://huggingface.co/models?filter=bart
_lowerCAmelCase      						=	{
    '''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''',
    },
}

_lowerCAmelCase      						=	{
    '''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    _SCREAMING_SNAKE_CASE  (       ):



    """simple docstring"""





    lowerCAmelCase__ :  Union[str, Any]							      =					(
        list(range(ord("""!"""			)							,    ord("""~"""			) + 1			)			) + list(range(ord("""¡"""			)							,    ord("""¬"""			) + 1			)			) + list(range(ord("""®"""			)							,    ord("""ÿ"""			) + 1			)			)
    )
    lowerCAmelCase__ :  Union[str, Any]							      =					bs[:]
    lowerCAmelCase__ :  int							      =					0
    for b in range(2**8			):
        if b not in bs:
            bs.append(UpperCamelCase			)
            cs.append(2**8 + n			)
            n += 1
    lowerCAmelCase__ :  Any							      =					[chr(UpperCamelCase			) for n in cs]
    return dict(zip(UpperCamelCase							,    UpperCamelCase			)			)
def    _SCREAMING_SNAKE_CASE  (       UpperCamelCase			):



    """simple docstring"""





    lowerCAmelCase__ :  Union[str, Any]							      =					set()
    lowerCAmelCase__ :  List[Any]							      =					word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)			)
        lowerCAmelCase__ :  Optional[int]							      =					char
    return pairs






class        lowerCAmelCase_(				SCREAMING_SNAKE_CASE_     ):
  '''simple docstring'''




  __lowercase							:      Any				=      VOCAB_FILES_NAMES
  __lowercase							:      Dict				=      PRETRAINED_VOCAB_FILES_MAP
  __lowercase							:      Optional[Any]				=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  __lowercase							:      Any				=      ['''input_ids''', '''attention_mask''']




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

      # Mask token behave like a normal word, i.e. include the space before it
      lowerCAmelCase__ :  Union[str, Any]							      =					AddedToken(__UpperCAmelCase  ,lstrip=__UpperCAmelCase  ,rstrip=__UpperCAmelCase      ) if isinstance(__UpperCAmelCase  ,__UpperCAmelCase      ) else mask_token

      super().__init__(
          errors=__UpperCAmelCase  ,bos_token=__UpperCAmelCase  ,eos_token=__UpperCAmelCase  ,unk_token=__UpperCAmelCase  ,sep_token=__UpperCAmelCase  ,cls_token=__UpperCAmelCase  ,pad_token=__UpperCAmelCase  ,mask_token=__UpperCAmelCase  ,add_prefix_space=__UpperCAmelCase  ,**__UpperCAmelCase  ,)

      with open(__UpperCAmelCase  ,encoding="""utf-8"""      ) as vocab_handle:
          lowerCAmelCase__ :  int							      =					json.load(__UpperCAmelCase      )
      lowerCAmelCase__ :  Optional[Any]							      =					{v: k for k, v in self.encoder.items()}
      lowerCAmelCase__ :  List[str]							      =					errors  # how to handle errors in decoding
      lowerCAmelCase__ :  Optional[int]							      =					bytes_to_unicode()
      lowerCAmelCase__ :  List[Any]							      =					{v: k for k, v in self.byte_encoder.items()}
      with open(__UpperCAmelCase  ,encoding="""utf-8"""      ) as merges_handle:
          lowerCAmelCase__ :  List[str]							      =					merges_handle.read().split("""\n"""      )[1:-1]
      lowerCAmelCase__ :  Dict							      =					[tuple(merge.split()      ) for merge in bpe_merges]
      lowerCAmelCase__ :  Union[str, Any]							      =					dict(zip(__UpperCAmelCase  ,range(len(__UpperCAmelCase      )      )      )      )
      lowerCAmelCase__ :  List[Any]							      =					{}
      lowerCAmelCase__ :  Optional[Any]							      =					add_prefix_space

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




  def 							UpperCAmelCase_	(    self      )    ->		Tuple:
      return dict(self.encoder  ,**self.added_tokens_encoder      )




  def 							UpperCAmelCase_	(    self  ,__UpperCAmelCase      )    ->		Optional[int]:
      if token in self.cache:
          return self.cache[token]
      lowerCAmelCase__ :  Tuple							      =					tuple(__UpperCAmelCase      )
      lowerCAmelCase__ :  List[Any]							      =					get_pairs(__UpperCAmelCase      )

      if not pairs:
          return token

      while True:
          lowerCAmelCase__ :  Any							      =					min(__UpperCAmelCase  ,key=lambda __UpperCAmelCase      : self.bpe_ranks.get(__UpperCAmelCase  ,float("""inf"""      )      )      )
          if bigram not in self.bpe_ranks:
              break
          lowerCAmelCase__      ,   lowerCAmelCase__ :  int							      =					bigram
          lowerCAmelCase__ :  Optional[int]							      =					[]
          lowerCAmelCase__ :  List[Any]							      =					0
          while i < len(__UpperCAmelCase      ):
              try:
                  lowerCAmelCase__ :  Union[str, Any]							      =					word.index(__UpperCAmelCase  ,__UpperCAmelCase      )
              except ValueError:
                  new_word.extend(word[i:]      )
                  break
              else:
                  new_word.extend(word[i:j]      )
                  lowerCAmelCase__ :  Any							      =					j

              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
          lowerCAmelCase__ :  Tuple							      =					tuple(__UpperCAmelCase      )
          lowerCAmelCase__ :  List[Any]							      =					new_word
          if len(__UpperCAmelCase      ) == 1:
              break
          else:
              lowerCAmelCase__ :  Any							      =					get_pairs(__UpperCAmelCase      )
      lowerCAmelCase__ :  Union[str, Any]							      =					""" """.join(__UpperCAmelCase      )
      lowerCAmelCase__ :  int							      =					word
      return word




  def 							UpperCAmelCase_	(    self  ,__UpperCAmelCase      )    ->		Optional[Any]:
      lowerCAmelCase__ :  int							      =					[]
      for token in re.findall(self.pat  ,__UpperCAmelCase      ):
          lowerCAmelCase__ :  Union[str, Any]							      =					"""""".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(__UpperCAmelCase      ).split(""" """      )      )
      return bpe_tokens




  def 							UpperCAmelCase_	(    self  ,__UpperCAmelCase      )    ->		Dict:
      return self.encoder.get(__UpperCAmelCase  ,self.encoder.get(self.unk_token      )      )




  def 							UpperCAmelCase_	(    self  ,__UpperCAmelCase      )    ->		str:
      return self.decoder.get(__UpperCAmelCase      )




  def 							UpperCAmelCase_	(    self  ,__UpperCAmelCase      )    ->		Dict:
      lowerCAmelCase__ :  List[Any]							      =					"""""".join(__UpperCAmelCase      )
      lowerCAmelCase__ :  Tuple							      =					bytearray([self.byte_decoder[c] for c in text]      ).decode("""utf-8"""  ,errors=self.errors      )
      return text




  def 							UpperCAmelCase_	(    self  ,__UpperCAmelCase  ,__UpperCAmelCase = None      )    ->		Tuple[str]:
      if not os.path.isdir(__UpperCAmelCase      ):
          logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""      )
          return
      lowerCAmelCase__ :  int							      =					os.path.join(
          __UpperCAmelCase  ,(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]      )
      lowerCAmelCase__ :  Union[str, 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"""      )

      lowerCAmelCase__ :  Tuple							      =					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!"""      )
                  lowerCAmelCase__ :  List[str]							      =					token_index
              writer.write(""" """.join(__UpperCAmelCase      ) + """\n"""      )
              index += 1

      return vocab_file, merge_file




  def 							UpperCAmelCase_	(    self  ,__UpperCAmelCase  ,__UpperCAmelCase = None      )    ->		List[int]:
      if token_ids_a is None:
          return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
      lowerCAmelCase__ :  List[str]							      =					[self.cls_token_id]
      lowerCAmelCase__ :  Tuple							      =					[self.sep_token_id]
      return cls + token_ids_a + sep + sep + token_ids_a + sep




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

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




  def 							UpperCAmelCase_	(    self  ,__UpperCAmelCase  ,__UpperCAmelCase = None      )    ->		List[int]:
      lowerCAmelCase__ :  Tuple							      =					[self.sep_token_id]
      lowerCAmelCase__ :  Tuple							      =					[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  ,__UpperCAmelCase  ,__UpperCAmelCase=False  ,**__UpperCAmelCase      )    ->		Any:
      lowerCAmelCase__ :  Any							      =					kwargs.pop("""add_prefix_space"""  ,self.add_prefix_space      )
      if (is_split_into_words or add_prefix_space) and (len(__UpperCAmelCase      ) > 0 and not text[0].isspace()):
          lowerCAmelCase__ :  Union[str, Any]							      =					""" """ + text
      return (text, kwargs)






import os

import numpy
import onnx







def        _lowerCamelCase(	lowercase__   , lowercase__	)						->	Union[str, Any]:

		'''simple docstring'''







		__lowercase=			a.name
		__lowercase=			b.name

		__lowercase=			''
		__lowercase=			''

		__lowercase=			a == b

		__lowercase=			name_a
		__lowercase=			name_b

		return res







def        _lowerCamelCase(	lowercase__   , lowercase__   , lowercase__	)						->	Union[str, Any]:

		'''simple docstring'''







		for i, input_name in enumerate(node_proto.input	):
				if input_name == name:
						node_proto.input.insert(lowercase__   , lowercase__	)
						node_proto.input.pop(i + 1	)

		if node_proto.op_type == "If":
				_graph_replace_input_with(node_proto.attribute[0].g   , lowercase__   , lowercase__	)
				_graph_replace_input_with(node_proto.attribute[1].g   , lowercase__   , lowercase__	)
		if node_proto.op_type == "Loop":
				_graph_replace_input_with(node_proto.attribute[0].g   , lowercase__   , lowercase__	)







def        _lowerCamelCase(	lowercase__   , lowercase__   , lowercase__	)						->	str:

		'''simple docstring'''







		for n in graph_proto.node:
				_node_replace_input_with(lowercase__   , lowercase__   , lowercase__	)







def        _lowerCamelCase(	lowercase__   , lowercase__   , lowercase__	)						->	Any:

		'''simple docstring'''







		__lowercase=			list(model.graph.initializer	)
		__lowercase=			list(model_without_ext.graph.initializer	)
		for i, ref_i in ind_to_replace:
				assert inits_with_data[i].name == inits[i].name
				assert inits_with_data[ref_i].name == inits[ref_i].name
				assert i > ref_i

				__lowercase=			inits[i].name
				__lowercase=			inits[ref_i].name

				model_without_ext.graph.initializer.remove(inits[i]	)

				# for n in model.graph.node:
				_graph_replace_input_with(model_without_ext.graph   , lowercase__   , lowercase__	)







def        _lowerCamelCase(	lowercase__	)						->	Dict:

		'''simple docstring'''







		__lowercase=			os.path.dirname(lowercase__	)
		__lowercase=			os.path.basename(lowercase__	)

		__lowercase=			onnx.load(os.path.join(lowercase__   , lowercase__	)	)

		__lowercase=			list(model.graph.initializer	)

		__lowercase=			set()
		__lowercase=			{}
		__lowercase=			[]

		__lowercase=			0

		for i in range(len(lowercase__	)	):
				if i in dup_set:
						continue

				for j in range(i + 1   , len(lowercase__	)	):
						if j in dup_set:
								continue
						if _is_equal_tensor_proto(inits[i]   , inits[j]	):
								dup_set.add(lowercase__	)
								dup_set.add(lowercase__	)

								__lowercase=			inits[j].data_type
								__lowercase=			numpy.prod(inits[j].dims	)
								if dtype == 1:
										mem_size *= 4
								elif dtype == 6:
										mem_size *= 4
								elif dtype == 7 or dtype == 1_1:
										mem_size *= 8
								else:
										print('unexpected data type: '   , lowercase__	)
								total_reduced_size += mem_size

								__lowercase=			inits[i].name
								__lowercase=			inits[j].name

								if name_i in dup_map:
										dup_map[name_i].append(lowercase__	)
								else:
										__lowercase=			[name_j]
								ind_to_replace.append((j, i)	)

		print('total reduced size: '   , total_reduced_size / 1_0_2_4 / 1_0_2_4 / 1_0_2_4   , 'GB'	)

		__lowercase=			sorted(lowercase__	)
		_remove_dup_initializers_from_model(lowercase__   , lowercase__   , lowercase__	)

		__lowercase=			'optimized_' + model_file_name
		__lowercase=			os.path.join(lowercase__   , lowercase__	)
		onnx.save(lowercase__   , lowercase__	)

		return new_model






