

import inspect

from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax


if is_flax_available():
 import jax



@require_flax
class 					lowercase		:



 '''simple docstring'''


 def 						UpperCamelCase__							(self				)				->      Any:






  """simple docstring"""





  UpperCAmelCase__           =       self.prepare_init_args_and_inputs_for_common()

  UpperCAmelCase__           =       self.model_class(**__a				)
  UpperCAmelCase__           =       model.init(inputs_dict['prng_key'] , inputs_dict['sample']				)
  jax.lax.stop_gradient(__a				)

  UpperCAmelCase__           =       model.apply(__a , inputs_dict['sample']				)

  if isinstance(__a , __a				):
   UpperCAmelCase__           =       output.sample

  self.assertIsNotNone(__a				)
  UpperCAmelCase__           =       inputs_dict["sample"].shape
  self.assertEqual(output.shape , __a , 'Input and output shapes do not match'				)




 def 						UpperCamelCase__							(self				)				->      Dict:






  """simple docstring"""





  UpperCAmelCase__           =       self.prepare_init_args_and_inputs_for_common()

  UpperCAmelCase__           =       16
  UpperCAmelCase__           =       (16, 32)

  UpperCAmelCase__           =       self.model_class(**__a				)
  UpperCAmelCase__           =       model.init(inputs_dict['prng_key'] , inputs_dict['sample']				)
  jax.lax.stop_gradient(__a				)

  UpperCAmelCase__           =       model.apply(__a , inputs_dict['sample']				)

  if isinstance(__a , __a				):
   UpperCAmelCase__           =       output.sample

  self.assertIsNotNone(__a				)
  UpperCAmelCase__           =       inputs_dict["sample"].shape
  self.assertEqual(output.shape , __a , 'Input and output shapes do not match'				)




 def 						UpperCamelCase__							(self				)				->      Any:






  """simple docstring"""





  UpperCAmelCase__           =       "kwargs" in inspect.signature(self.model_class.__init__				).parameters
  UpperCAmelCase__           =       len(self.model_class._deprecated_kwargs				) > 0

  if has_kwarg_in_model_class and not has_deprecated_kwarg:
   raise ValueError(
       F"{self.model_class} has `**kwargs` in its __init__ method but has not defined any deprecated kwargs"
       ' under the `_deprecated_kwargs` class attribute. Make sure to either remove `**kwargs` if there are'
       ' no deprecated arguments or add the deprecated argument with `_deprecated_kwargs ='
       ' [<deprecated_argument>]`'				)

  if not has_kwarg_in_model_class and has_deprecated_kwarg:
   raise ValueError(
       F"{self.model_class} doesn\'t have `**kwargs` in its __init__ method but has defined deprecated kwargs"
       ' under the `_deprecated_kwargs` class attribute. Make sure to either add the `**kwargs` argument to'
       F" {self.model_class}.__init__ if there are deprecated arguments or remove the deprecated argument"
       ' from `_deprecated_kwargs = [<deprecated_argument>]`'				)








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_UpperCamelCase     =    {
    '''configuration_fsmt''': ['''FSMT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''FSMTConfig'''],
    '''tokenization_fsmt''': ['''FSMTTokenizer'''],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _UpperCamelCase     =    ['''FSMTForConditionalGeneration''', '''FSMTModel''', '''PretrainedFSMTModel''']


if TYPE_CHECKING:
 from .configuration_fsmt import FSMT_PRETRAINED_CONFIG_ARCHIVE_MAP, FSMTConfig
 from .tokenization_fsmt import FSMTTokenizer

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_fsmt import FSMTForConditionalGeneration, FSMTModel, PretrainedFSMTModel

else:
 import sys

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



