



import pytest

from datasets.utils.sharding import _distribute_shards, _number_of_shards_in_gen_kwargs, _split_gen_kwargs



@pytest.mark.parametrize(
    """kwargs, expected"""				,       [
        ({"""num_shards""": 0, """max_num_jobs""": 1}, []),
        ({"""num_shards""": 10, """max_num_jobs""": 1}, [range(10				)]),
        ({"""num_shards""": 10, """max_num_jobs""": 10}, [range(SCREAMING_SNAKE_CASE__				,       i + 1				) for i in range(10				)]),
        ({"""num_shards""": 1, """max_num_jobs""": 10}, [range(1				)]),
        ({"""num_shards""": 10, """max_num_jobs""": 3}, [range(0				,       4				), range(4				,       7				), range(7				,       10				)]),
        ({"""num_shards""": 3, """max_num_jobs""": 10}, [range(0				,       1				), range(1				,       2				), range(2				,       3				)]),
    ]				,       )
def       lowercase       (   SCREAMING_SNAKE_CASE__       :	Optional[int]				,       SCREAMING_SNAKE_CASE__       :	List[str]				)  ->     List[str]:
 _snake_case    :  Tuple					=					_distribute_shards(**SCREAMING_SNAKE_CASE__				)
 assert out == expected



@pytest.mark.parametrize(
    """gen_kwargs, max_num_jobs, expected"""				,       [
        ({"""foo""": 0}, 10, [{"""foo""": 0}]),
        ({"""shards""": [0, 1, 2, 3]}, 1, [{"""shards""": [0, 1, 2, 3]}]),
        ({"""shards""": [0, 1, 2, 3]}, 4, [{"""shards""": [0]}, {"""shards""": [1]}, {"""shards""": [2]}, {"""shards""": [3]}]),
        ({"""shards""": [0, 1]}, 4, [{"""shards""": [0]}, {"""shards""": [1]}]),
        ({"""shards""": [0, 1, 2, 3]}, 2, [{"""shards""": [0, 1]}, {"""shards""": [2, 3]}]),
    ]				,       )
def       lowercase       (   SCREAMING_SNAKE_CASE__       :	str				,       SCREAMING_SNAKE_CASE__       :	int				,       SCREAMING_SNAKE_CASE__       :	str				)  ->     List[Any]:
 _snake_case    :  int					=					_split_gen_kwargs(SCREAMING_SNAKE_CASE__				,       SCREAMING_SNAKE_CASE__				)
 assert out == expected



@pytest.mark.parametrize(
    """gen_kwargs, expected"""				,       [
        ({"""foo""": 0}, 1),
        ({"""shards""": [0]}, 1),
        ({"""shards""": [0, 1, 2, 3]}, 4),
        ({"""shards""": [0, 1, 2, 3], """foo""": 0}, 4),
        ({"""shards""": [0, 1, 2, 3], """other""": (0, 1)}, 4),
        ({"""shards""": [0, 1, 2, 3], """shards2""": [0, 1]}, RuntimeError),
    ]				,       )
def       lowercase       (   SCREAMING_SNAKE_CASE__       :	Dict				,       SCREAMING_SNAKE_CASE__       :	Dict				)  ->     Any:
 if expected is RuntimeError:
  with pytest.raises(SCREAMING_SNAKE_CASE__				):
   _number_of_shards_in_gen_kwargs(SCREAMING_SNAKE_CASE__				)
 else:
  _snake_case    :  Union[str, Any]					=					_number_of_shards_in_gen_kwargs(SCREAMING_SNAKE_CASE__				)
  assert out == expected





import argparse
import os
import re


a__    =	"""src/transformers/models/auto"""


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



def       lowercase       (   SCREAMING_SNAKE_CASE__       :	int				,       SCREAMING_SNAKE_CASE__       :	bool = False				)  ->     Optional[Any]:
 with open(SCREAMING_SNAKE_CASE__				,       """r"""				,       encoding="""utf-8"""				) as f:
  _snake_case    :  int					=					f.read()

 _snake_case    :  str					=					content.split("""\n"""				)
 _snake_case    :  List[str]					=					[]
 _snake_case    :  int					=					0
 while line_idx < len(SCREAMING_SNAKE_CASE__				):
  if _re_intro_mapping.search(lines[line_idx]				) is not None:
   _snake_case    :  Union[str, Any]					=					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

   _snake_case    :  int					=					[]
   while lines[line_idx].strip() != "]":
    # Blocks either fit in one line or not
    if lines[line_idx].strip() == "(":
     _snake_case    :  Optional[Any]					=					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
   _snake_case    :  int					=					sorted(SCREAMING_SNAKE_CASE__				,       key=lambda SCREAMING_SNAKE_CASE__				: _re_identifier.search(SCREAMING_SNAKE_CASE__				).groups()[0]				)
   new_lines += blocks
  else:
   new_lines.append(lines[line_idx]				)
   line_idx += 1

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



def       lowercase       (   SCREAMING_SNAKE_CASE__       :	bool = False				)  ->     int:
 _snake_case    :  List[Any]					=					[os.path.join(SCREAMING_SNAKE_CASE__				,       SCREAMING_SNAKE_CASE__				) for f in os.listdir(SCREAMING_SNAKE_CASE__				) if f.endswith(""".py"""				)]
 _snake_case    :  str					=					[sort_auto_mapping(SCREAMING_SNAKE_CASE__				,       overwrite=SCREAMING_SNAKE_CASE__				) for fname in fnames]

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


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

  sort_all_auto_mappings(not args.check_only)
