



import argparse
import os
import re


__snake_case		:Optional[Any]   	=  '''src/transformers/models/auto'''


# re pattern that matches mapping introductions:
#    SUPER_MODEL_MAPPING_NAMES = OrderedDict or SUPER_MODEL_MAPPING = OrderedDict
__snake_case		:Dict   	=  re.compile(r'''[A-Z_]+_MAPPING(\s+|_[A-Z_]+\s+)=\s+OrderedDict''')
# re pattern that matches identifiers in mappings
__snake_case		:List[str]   	=  re.compile(r'''\s*\(\s*"(\S[^"]+)"''')





def   __snake_case			(    _UpperCAmelCase     ,				_UpperCAmelCase = False       ):
    with open(_UpperCAmelCase     ,				'''r'''     ,				encoding='''utf-8'''       ) as f:
        __a		 =       f.read()

    __a		 =       content.split('''\n'''       )
    __a		 =       []
    __a		 =       0
    while line_idx < len(_UpperCAmelCase       ):
        if _re_intro_mapping.search(lines[line_idx]       ) is not None:
            __a		 =       len(re.search(R'''^(\s*)\S'''     ,				lines[line_idx]       ).groups()[0]       ) + 8
            # Start of a new mapping!
            while not lines[line_idx].startswith(''' ''' * indent + '''('''       ):
                new_lines.append(lines[line_idx]       )
                line_idx += 1

            __a		 =       []
            while lines[line_idx].strip() != "]":
                # Blocks either fit in one line or not
                if lines[line_idx].strip() == "(":
                    __a		 =       line_idx
                    while not lines[line_idx].startswith(''' ''' * indent + ''')'''       ):
                        line_idx += 1
                    blocks.append('''\n'''.join(lines[start_idx : line_idx + 1]       )       )
                else:
                    blocks.append(lines[line_idx]       )
                line_idx += 1

            # Sort blocks by their identifiers
            __a		 =       sorted(_UpperCAmelCase     ,				key=lambda _UpperCAmelCase       : _re_identifier.search(_UpperCAmelCase       ).groups()[0]       )
            new_lines += blocks
        else:
            new_lines.append(lines[line_idx]       )
            line_idx += 1

    if overwrite:
        with open(_UpperCAmelCase     ,				'''w'''     ,				encoding='''utf-8'''       ) as f:
            f.write('''\n'''.join(_UpperCAmelCase       )       )
    elif "\n".join(_UpperCAmelCase       ) != content:
        return True





def   __snake_case			(    _UpperCAmelCase = False       ):
    __a		 =       [os.path.join(_UpperCAmelCase     ,				_UpperCAmelCase       ) for f in os.listdir(_UpperCAmelCase       ) if f.endswith('''.py'''       )]
    __a		 =       [sort_auto_mapping(_UpperCAmelCase     ,				overwrite=_UpperCAmelCase       ) for fname in fnames]

    if not overwrite and any(_UpperCAmelCase       ):
        __a		 =       [f for f, d in zip(_UpperCAmelCase     ,				_UpperCAmelCase       ) if d]
        raise ValueError(
            f'The following files have auto mappings that need sorting: {", ".join(_UpperCAmelCase       )}. Run `make style` to fix'
            ''' this.'''       )


if __name__ == "__main__":
 __snake_case		:str   	=  argparse.ArgumentParser()
 parser.add_argument('''--check_only''', action='''store_true''', help='''Whether to only check or fix style.''')
 __snake_case		:Dict   	=  parser.parse_args()

 sort_all_auto_mappings(not args.check_only)










import argparse
import logging
import pickle
from collections import Counter


logging.basicConfig(
    format='''%(asctime)s - %(levelname)s - %(name)s - %(message)s''', datefmt='''%m/%d/%Y %H:%M:%S''', level=logging.INFO
)
__snake_case		:Tuple   	=  logging.getLogger(__name__)

if __name__ == "__main__":
 __snake_case		:Union[str, Any]   	=  argparse.ArgumentParser(
     description='''Token Counts for smoothing the masking probabilities in MLM (cf XLM/word2vec)'''
 )
 parser.add_argument(
     '''--data_file''', type=str, default='''data/dump.bert-base-uncased.pickle''', help='''The binarized dataset.'''
 )
 parser.add_argument(
     '''--token_counts_dump''', type=str, default='''data/token_counts.bert-base-uncased.pickle''', help='''The dump file.'''
 )
 parser.add_argument('''--vocab_size''', default=3_0522, type=int)
 __snake_case		:List[str]   	=  parser.parse_args()

 logger.info(f'Loading data from {args.data_file}')
 with open(args.data_file, '''rb''') as fp:
  __snake_case		:Optional[Any]   	=  pickle.load(fp)

 logger.info('''Counting occurrences for MLM.''')
 __snake_case		:Dict   	=  Counter()
 for tk_ids in data:
  counter.update(tk_ids)
 __snake_case		:Optional[Any]   	=  [0] * args.vocab_size
 for k, v in counter.items():
  __snake_case		:Any   	=  v

 logger.info(f'Dump to {args.token_counts_dump}')
 with open(args.token_counts_dump, '''wb''') as handle:
  pickle.dump(counts, handle, protocol=pickle.HIGHEST_PROTOCOL)





