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(lowerCamelCase  ,  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     (						lowerCamelCase					:     str  ,  lowerCamelCase					:     Any	):
 UpperCamelCase_					:						int =					_distribute_shards(**lowerCamelCase	)
 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     (						lowerCamelCase					:     Optional[int]  ,  lowerCamelCase					:     Dict  ,  lowerCamelCase					:     Optional[Any]	):
 UpperCamelCase_					:						str =					_split_gen_kwargs(lowerCamelCase  ,  lowerCamelCase	)
 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     (						lowerCamelCase					:     Tuple  ,  lowerCamelCase					:     Optional[Any]	):
 if expected is RuntimeError:
  with pytest.raises(lowerCamelCase	):
   _number_of_shards_in_gen_kwargs(lowerCamelCase	)
 else:
  UpperCamelCase_					:						Union[str, Any] =					_number_of_shards_in_gen_kwargs(lowerCamelCase	)
  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__)



