'''simple docstring'''

import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
       from .tokenization_rembert import RemBertTokenizer
else:
       lowerCAmelCase_ : Union[str, Any]						  =      None

lowerCAmelCase_ : Any						  =      logging.get_logger(__name__)
lowerCAmelCase_ : str						  =      {"vocab_file": "sentencepiece.model", "tokenizer_file": "tokenizer.json"}

lowerCAmelCase_ : Optional[int]						  =      {
    "vocab_file": {
        "google/rembert": "https://huggingface.co/google/rembert/resolve/main/sentencepiece.model",
    },
    "tokenizer_file": {
        "google/rembert": "https://huggingface.co/google/rembert/resolve/main/tokenizer.json",
    },
}

lowerCAmelCase_ : List[str]						  =      {
    "google/rembert": 256,
}

lowerCAmelCase_ : int						  =      "▁"





class 							lowercase						(						__lowerCamelCase ):
   lowerCamelCase_    					=VOCAB_FILES_NAMES
   lowerCamelCase_    					=PRETRAINED_VOCAB_FILES_MAP
   lowerCamelCase_    					=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   lowerCamelCase_    					=RemBertTokenizer


   def __init__(   self				:	Any   ,		__lowerCAmelCase				:	List[Any]=None   ,		__lowerCAmelCase				:	List[str]=None   ,		__lowerCAmelCase				:	int=True   ,		__lowerCAmelCase				:	Union[str, Any]=True   ,		__lowerCAmelCase				:	Any=False   ,		__lowerCAmelCase				:	List[Any]="[CLS]"   ,		__lowerCAmelCase				:	str="[SEP]"   ,		__lowerCAmelCase				:	int="<unk>"   ,		__lowerCAmelCase				:	Tuple="[SEP]"   ,		__lowerCAmelCase				:	Any="<pad>"   ,		__lowerCAmelCase				:	Optional[int]="[CLS]"   ,		__lowerCAmelCase				:	Tuple="[MASK]"   ,		**__lowerCAmelCase				:	Dict   ,		)      ->					Union[str, Any]:
         # Mask token behave like a normal word, i.e. include the space before it
         lowercase_     =      AddedToken(__lowerCAmelCase   ,		lstrip=__lowerCAmelCase   ,		rstrip=__lowerCAmelCase) if isinstance(__lowerCAmelCase   ,		__lowerCAmelCase) else mask_token

         super().__init__(
             __lowerCAmelCase   ,		tokenizer_file=__lowerCAmelCase   ,		do_lower_case=__lowerCAmelCase   ,		remove_space=__lowerCAmelCase   ,		keep_accents=__lowerCAmelCase   ,		bos_token=__lowerCAmelCase   ,		eos_token=__lowerCAmelCase   ,		unk_token=__lowerCAmelCase   ,		sep_token=__lowerCAmelCase   ,		pad_token=__lowerCAmelCase   ,		cls_token=__lowerCAmelCase   ,		mask_token=__lowerCAmelCase   ,		**__lowerCAmelCase   ,		)

         lowercase_     =      do_lower_case
         lowercase_     =      remove_space
         lowercase_     =      keep_accents
         lowercase_     =      vocab_file
         lowercase_     =      False if not self.vocab_file else True


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


   def __UpperCAmelCase       (   self				:	Dict   ,		__lowerCAmelCase				:	List[int]   ,		__lowerCAmelCase				:	Optional[List[int]] = None   ,		__lowerCAmelCase				:	bool = False)      ->					List[int]:

         if already_has_special_tokens:
               if token_ids_a is not None:
                     raise ValueError(
                         "You should not supply a second sequence if the provided sequence of "
                         "ids is already formatted with special tokens for the model.")
               return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

         if token_ids_a is not None:
               return [1] + ([0] * len(__lowerCAmelCase)) + [1] + ([0] * len(__lowerCAmelCase)) + [1]
         return [1] + ([0] * len(__lowerCAmelCase)) + [1]


   def __UpperCAmelCase       (   self				:	Any   ,		__lowerCAmelCase				:	List[int]   ,		__lowerCAmelCase				:	Optional[List[int]] = None)      ->					List[int]:
         lowercase_     =      [self.sep_token_id]
         lowercase_     =      [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 __UpperCAmelCase       (   self				:	List[Any]   ,		__lowerCAmelCase				:	str   ,		__lowerCAmelCase				:	Optional[str] = None)      ->					Tuple[str]:
         if not os.path.isdir(__lowerCAmelCase):
               logger.error("Vocabulary path ({}) should be a directory".format(__lowerCAmelCase))
               return
         lowercase_     =      os.path.join(
             __lowerCAmelCase   ,		(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"])

         if os.path.abspath(self.vocab_file) != os.path.abspath(__lowerCAmelCase):
               copyfile(self.vocab_file   ,		__lowerCAmelCase)

         return (out_vocab_file,)







'''simple docstring'''

import json
import sys


def __a (	__lowerCamelCase			:						Optional[int] ,		__lowerCamelCase			:						Union[str, Any]				)	->							Optional[Any]:
      '''simple docstring'''


      with open(__lowerCamelCase ,		encoding="utf-8"				) as f:
            lowercase_     =      json.load(__lowerCamelCase				)

      lowercase_     =      ["<details>", "<summary>Show updated benchmarks!</summary>", " "]

      for benchmark_name in sorted(__lowerCamelCase				):
            lowercase_     =      results[benchmark_name]

            lowercase_     =      benchmark_name.split("/"				)[-1]
            output_md.append(f'### Benchmark: {benchmark_file_name}'				)

            lowercase_     =      "| metric |"
            lowercase_     =      "|--------|"
            lowercase_     =      "| new / old (diff) |"
            for metric_name in sorted(__lowerCamelCase				):
                  lowercase_     =      benchmark_res[metric_name]
                  lowercase_     =      metric_vals["new"]
                  lowercase_     =      metric_vals.get("old" ,		__lowerCamelCase				)
                  lowercase_     =      metric_vals.get("diff" ,		__lowerCamelCase				)

                  lowercase_     =      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_ : List[Any]						  =      sys.argv[1]
       lowerCAmelCase_ : Any						  =      sys.argv[2]

       format_json_to_md(input_json_file, output_md_file)






