
'''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


snake_case									=    logging.get_logger(__name__)


snake_case									=    {
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
    """tokenizer_config_file""": """tokenizer_config.json""",
}

snake_case									=    {
    """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"""
        )
    },
}

snake_case									=    {"""facebook/blenderbot_small-90M""": 5_12}


def        UpperCAmelCase_ (  lowerCamelCase_			):







 """simple docstring"""


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

 lowerCAmelCase__     :   List[Any]     		=	set(lowerCamelCase_			)
 return pairs







class    lowerCAmelCase       (     UpperCamelCase_  ):
 A_				:				Optional[int]	=			VOCAB_FILES_NAMES
 A_				:				str	=			PRETRAINED_VOCAB_FILES_MAP
 A_				:				List[str]	=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 A_				:				List[Any]	=			["""input_ids""", """attention_mask"""]


 def __init__(    self  : Any			,							a__  : List[Any]			,							a__  : Dict			,							a__  : List[Any]="__start__"			,							a__  : Tuple="__end__"			,							a__  : List[Any]="__unk__"			,							a__  : int="__null__"			,							**a__  : Tuple			,							):
  '''simple docstring'''

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

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


 @property
 def    _A	(    self  : Optional[int]    ):
  '''simple docstring'''

  return len(self.encoder    )


 def    _A	(    self  : Optional[int]    ):
  '''simple docstring'''

  return dict(self.encoder			,							**self.added_tokens_encoder    )


 def    _A	(    self  : Dict			,							a__  : str    ):
  '''simple docstring'''

  if token in self.cache:
   return self.cache[token]
  lowerCAmelCase__     :   Optional[int]     		=	re.sub("([.,!?()])"			,							r" \1"			,							a__    )
  lowerCAmelCase__     :   Union[str, Any]     		=	re.sub("(')"			,							r" \1 "			,							a__    )
  lowerCAmelCase__     :   List[str]     		=	re.sub(r"\s{2,}"			,							" "			,							a__    )
  if "\n" in token:
   lowerCAmelCase__     :   Tuple     		=	token.replace("\n"			,							" __newln__"    )

  lowerCAmelCase__     :   Dict     		=	token.split(" "    )
  lowerCAmelCase__     :   Optional[Any]     		=	[]
  for token in tokens:
   if not len(a__    ):
    continue

   lowerCAmelCase__     :   List[str]     		=	token.lower()
   lowerCAmelCase__     :   Union[str, Any]     		=	tuple(a__    )
   lowerCAmelCase__     :   Optional[int]     		=	tuple(list(word[:-1]    ) + [word[-1] + "</w>"]    )
   lowerCAmelCase__     :   Any     		=	get_pairs(a__    )

   if not pairs:
    words.append(a__    )
    continue

   while True:
    lowerCAmelCase__     :   Dict     		=	min(a__			,							key=lambda a__    : self.bpe_ranks.get(a__			,							float("inf"    )    )    )
    if bigram not in self.bpe_ranks:
     break
    lowerCAmelCase__		,     lowerCAmelCase__     :   str     		=	bigram
    lowerCAmelCase__     :   str     		=	[]
    lowerCAmelCase__     :   Union[str, Any]     		=	0

    while i < len(a__    ):
     try:
      lowerCAmelCase__     :   Optional[int]     		=	word.index(a__			,							a__    )
      new_word.extend(word[i:j]    )
      lowerCAmelCase__     :   List[str]     		=	j
     except ValueError:
      new_word.extend(word[i:]    )
      break

     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
    lowerCAmelCase__     :   Any     		=	tuple(a__    )
    lowerCAmelCase__     :   int     		=	new_word
    if len(a__    ) == 1:
     break
    else:
     lowerCAmelCase__     :   List[Any]     		=	get_pairs(a__    )
   lowerCAmelCase__     :   Optional[int]     		=	"@@ ".join(a__    )
   lowerCAmelCase__     :   str     		=	word[:-4]

   lowerCAmelCase__     :   List[str]     		=	word
   words.append(a__    )
  return " ".join(a__    )


 def    _A	(    self  : Tuple			,							a__  : str    ):
  '''simple docstring'''

  lowerCAmelCase__     :   List[Any]     		=	[]

  lowerCAmelCase__     :   int     		=	re.findall(r"\S+\n?"			,							a__    )

  for token in words:
   split_tokens.extend(list(self.bpe(a__    ).split(" "    )    )    )
  return split_tokens


 def    _A	(    self  : int			,							a__  : str    ):
  '''simple docstring'''

  lowerCAmelCase__     :   Union[str, Any]     		=	token.lower()
  return self.encoder.get(a__			,							self.encoder.get(self.unk_token    )    )


 def    _A	(    self  : Tuple			,							a__  : int    ):
  '''simple docstring'''

  return self.decoder.get(a__			,							self.unk_token    )


 def    _A	(    self  : Optional[Any]			,							a__  : List[str]    ):
  '''simple docstring'''

  lowerCAmelCase__     :   Any     		=	" ".join(a__    ).replace("@@ "			,							""    ).strip()
  return out_string


 def    _A	(    self  : Any			,							a__  : str			,							a__  : Optional[str] = None    ):
  '''simple docstring'''

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

  lowerCAmelCase__     :   Optional[int]     		=	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!"    )
     lowerCAmelCase__     :   str     		=	token_index
    writer.write(" ".join(a__    ) + "\n"    )
    index += 1

  return vocab_file, merge_file







'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


snake_case									=    logging.get_logger(__name__)

snake_case									=    {
    """google/mobilenet_v2_1.4_224""": """https://huggingface.co/google/mobilenet_v2_1.4_224/resolve/main/config.json""",
    """google/mobilenet_v2_1.0_224""": """https://huggingface.co/google/mobilenet_v2_1.0_224/resolve/main/config.json""",
    """google/mobilenet_v2_0.75_160""": """https://huggingface.co/google/mobilenet_v2_0.75_160/resolve/main/config.json""",
    """google/mobilenet_v2_0.35_96""": """https://huggingface.co/google/mobilenet_v2_0.35_96/resolve/main/config.json""",
    # See all MobileNetV2 models at https://huggingface.co/models?filter=mobilenet_v2
}




class    lowerCAmelCase       (     UpperCamelCase_  ):
 A_				:				List[str]	=			"""mobilenet_v2"""


 def __init__(    self  : Optional[int]			,							a__  : Dict=3			,							a__  : str=224			,							a__  : int=1.0			,							a__  : Dict=8			,							a__  : Dict=8			,							a__  : Dict=6			,							a__  : Optional[Any]=32			,							a__  : List[str]=True			,							a__  : int=True			,							a__  : List[str]="relu6"			,							a__  : List[str]=True			,							a__  : List[Any]=0.8			,							a__  : Tuple=0.02			,							a__  : Tuple=0.001			,							a__  : Optional[Any]=255			,							**a__  : str			,							):
  '''simple docstring'''

  super().__init__(**a__    )

  if depth_multiplier <= 0:
   raise ValueError("depth_multiplier must be greater than zero."    )

  lowerCAmelCase__     :   Any     		=	num_channels
  lowerCAmelCase__     :   Union[str, Any]     		=	image_size
  lowerCAmelCase__     :   Tuple     		=	depth_multiplier
  lowerCAmelCase__     :   Optional[int]     		=	depth_divisible_by
  lowerCAmelCase__     :   Union[str, Any]     		=	min_depth
  lowerCAmelCase__     :   List[str]     		=	expand_ratio
  lowerCAmelCase__     :   Union[str, Any]     		=	output_stride
  lowerCAmelCase__     :   Optional[int]     		=	first_layer_is_expansion
  lowerCAmelCase__     :   Tuple     		=	finegrained_output
  lowerCAmelCase__     :   Optional[int]     		=	hidden_act
  lowerCAmelCase__     :   Optional[Any]     		=	tf_padding
  lowerCAmelCase__     :   Union[str, Any]     		=	classifier_dropout_prob
  lowerCAmelCase__     :   Optional[int]     		=	initializer_range
  lowerCAmelCase__     :   str     		=	layer_norm_eps
  lowerCAmelCase__     :   int     		=	semantic_loss_ignore_index




class    lowerCAmelCase       (     UpperCamelCase_  ):
 A_				:				Optional[int]	=			version.parse("""1.11"""  )


 @property
 def    _A	(    self  : List[Any]    ):
  '''simple docstring'''

  return OrderedDict([("pixel_values", {0: "batch"})]    )


 @property
 def    _A	(    self  : Optional[int]    ):
  '''simple docstring'''

  if self.task == "image-classification":
   return OrderedDict([("logits", {0: "batch"})]    )
  else:
   return OrderedDict([("last_hidden_state", {0: "batch"}), ("pooler_output", {0: "batch"})]    )


 @property
 def    _A	(    self  : List[str]    ):
  '''simple docstring'''

  return 1e-4





