






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(__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__      (     __snake_case    :							str     ,       __snake_case    :							Any  ):


					'''simple docstring'''


					UpperCAmelCase_    :      int            =						_distribute_shards(**__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__      (     __snake_case    :							Optional[int]     ,       __snake_case    :							Dict     ,       __snake_case    :							Optional[Any]  ):


					'''simple docstring'''


					UpperCAmelCase_    :      str            =						_split_gen_kwargs(__snake_case     ,       __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__      (     __snake_case    :							Tuple     ,       __snake_case    :							Optional[Any]  ):


					'''simple docstring'''


					if expected is RuntimeError:
										with pytest.raises(__snake_case  ):
															_number_of_shards_in_gen_kwargs(__snake_case  )
					else:
										UpperCAmelCase_    :      Union[str, Any]            =						_number_of_shards_in_gen_kwargs(__snake_case  )
										assert out == expected







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


a_    					=       {'configuration_encoder_decoder': ['EncoderDecoderConfig']}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   a_    					=       ['EncoderDecoderModel']

try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   a_    					=       ['TFEncoderDecoderModel']

try:
   if not is_flax_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   a_    					=       ['FlaxEncoderDecoderModel']

if TYPE_CHECKING:
   from .configuration_encoder_decoder import EncoderDecoderConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_encoder_decoder import EncoderDecoderModel

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_encoder_decoder import TFEncoderDecoderModel

   try:
      if not is_flax_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_flax_encoder_decoder import FlaxEncoderDecoderModel

else:
   import sys

   a_    					=       _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



