
import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mobilebert import MobileBertTokenizer


__A				=logging.get_logger(__name__)

__A				={'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}

__A				={
    '''vocab_file''': {'''mobilebert-uncased''': '''https://huggingface.co/google/mobilebert-uncased/resolve/main/vocab.txt'''},
    '''tokenizer_file''': {
        '''mobilebert-uncased''': '''https://huggingface.co/google/mobilebert-uncased/resolve/main/tokenizer.json'''
    },
}

__A				={'''mobilebert-uncased''': 5_1_2}


__A				={}




class     _SCREAMING_SNAKE_CASE     (      snake_case_						):
	lowerCAmelCase__         = VOCAB_FILES_NAMES
	lowerCAmelCase__         = PRETRAINED_VOCAB_FILES_MAP
	lowerCAmelCase__         = PRETRAINED_INIT_CONFIGURATION
	lowerCAmelCase__         = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	lowerCAmelCase__         = MobileBertTokenizer



	def __init__(    self						,  lowercase=None						,  lowercase=None						,  lowercase=True						,  lowercase="[UNK]"						,  lowercase="[SEP]"						,  lowercase="[PAD]"						,  lowercase="[CLS]"						,  lowercase="[MASK]"						,  lowercase=True						,  lowercase=None						,  **lowercase						,  )				->       Union[str, Any]:
					super().__init__(
					    lowercase						,  tokenizer_file=lowercase						,  do_lower_case=lowercase						,  unk_token=lowercase						,  sep_token=lowercase						,  pad_token=lowercase						,  cls_token=lowercase						,  mask_token=lowercase						,  tokenize_chinese_chars=lowercase						,  strip_accents=lowercase						,  **lowercase						,  )

					lowerCamelCase_						=			json.loads(self.backend_tokenizer.normalizer.__getstate__() )
					if (
					    normalizer_state.get("lowercase"						,  lowercase ) != do_lower_case
					    or normalizer_state.get("strip_accents"						,  lowercase ) != strip_accents
					    or normalizer_state.get("handle_chinese_chars"						,  lowercase ) != tokenize_chinese_chars
					):
									lowerCamelCase_						=			getattr(lowercase						,  normalizer_state.pop("type" ) )
									lowerCamelCase_						=			do_lower_case
									lowerCamelCase_						=			strip_accents
									lowerCamelCase_						=			tokenize_chinese_chars
									lowerCamelCase_						=			normalizer_class(**lowercase )

					lowerCamelCase_						=			do_lower_case



	def     SCREAMING_SNAKE_CASE_(    self						,  lowercase						,  lowercase=None )				->       str:
					lowerCamelCase_						=			[self.cls_token_id] + token_ids_a + [self.sep_token_id]

					if token_ids_a:
									output += token_ids_a + [self.sep_token_id]

					return output



	def     SCREAMING_SNAKE_CASE_(    self						,  lowercase						,  lowercase = None )				->       List[int]:
					lowerCamelCase_						=			[self.sep_token_id]
					lowerCamelCase_						=			[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 ) * [0] + len(token_ids_a + sep ) * [1]



	def     SCREAMING_SNAKE_CASE_(    self						,  lowercase						,  lowercase = None )				->       Tuple[str]:
					lowerCamelCase_						=			self._tokenizer.model.save(lowercase						,  name=lowercase )
					return tuple(lowercase )




import json
import sys





def     _a					(						lowerCamelCase,	lowerCamelCase							):
 with open(lowerCamelCase,	encoding="""utf-8"""							) as f:
  lowerCamelCase		:	List[Any]							=      json.load(lowerCamelCase							)

 lowerCamelCase		:	Optional[Any]							=      ["""<details>""", """<summary>Show updated benchmarks!</summary>""", """ """]

 for benchmark_name in sorted(lowerCamelCase							):
  lowerCamelCase		:	List[Any]							=      results[benchmark_name]

  lowerCamelCase		:	Union[str, Any]							=      benchmark_name.split("""/"""							)[-1]
  output_md.append(F'''### Benchmark: {benchmark_file_name}'''							)

  lowerCamelCase		:	Any							=      """| metric |"""
  lowerCamelCase		:	str							=      """|--------|"""
  lowerCamelCase		:	List[Any]							=      """| new / old (diff) |"""
  for metric_name in sorted(lowerCamelCase							):
   lowerCamelCase		:	List[Any]							=      benchmark_res[metric_name]
   lowerCamelCase		:	Tuple							=      metric_vals["""new"""]
   lowerCamelCase		:	int							=      metric_vals.get("""old""",	lowerCamelCase							)
   lowerCamelCase		:	Dict							=      metric_vals.get("""diff""",	lowerCamelCase							)

   lowerCamelCase		:	Dict							=      F''' {new_val:f}''' if isinstance(lowerCamelCase,	(int, float)							) else """None"""

   if old_val is not None:
    val_str += F''' / {old_val:f}''' if isinstance(lowerCamelCase,	(int, float)							) else "None"
   if dif_val is not None:
    val_str += F''' ({dif_val:f})''' if isinstance(lowerCamelCase,	(int, float)							) else "None"

   title += " " + metric_name + " |"
   lines += "---|"
   value += val_str + " |"

  output_md += [title, lines, value, " "]

 output_md.append("""</details>"""							)

 with open(lowerCamelCase,	"""w""",	encoding="""utf-8"""							) as f:
  f.writelines("""\n""".join(lowerCamelCase							)							)


if __name__ == "__main__":
      _lowerCamelCase					   =sys.argv[1]
      _lowerCamelCase					   =sys.argv[2]

      format_json_to_md(input_json_file, output_md_file)




