


'''simple docstring'''
import unittest

from transformers import AutoConfig, AutoTokenizer, BertConfig, TensorType, is_flax_available
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, require_flax, slow


if is_flax_available():
 import jax

 from transformers.models.auto.modeling_flax_auto import FlaxAutoModel
 from transformers.models.bert.modeling_flax_bert import FlaxBertModel
 from transformers.models.roberta.modeling_flax_roberta import FlaxRobertaModel

@require_flax
class     _lowerCamelCase       (     unittest.TestCase					):




 '''simple docstring'''


 @slow
 def 			snake_case__ (   self    ):

  """simple docstring"""







  for model_name in ["bert-base-cased", "bert-large-uncased"]:
   with self.subTest(_UpperCAmelCase    ):
    __A	:		Dict	  =      AutoConfig.from_pretrained(_UpperCAmelCase    )
    self.assertIsNotNone(_UpperCAmelCase    )
    self.assertIsInstance(_UpperCAmelCase   ,   _UpperCAmelCase    )

    __A	:		Optional[int]	  =      FlaxAutoModel.from_pretrained(_UpperCAmelCase    )
    self.assertIsNotNone(_UpperCAmelCase    )
    self.assertIsInstance(_UpperCAmelCase   ,   _UpperCAmelCase    )


 @slow
 def 			snake_case__ (   self    ):

  """simple docstring"""







  for model_name in ["roberta-base", "roberta-large"]:
   with self.subTest(_UpperCAmelCase    ):
    __A	:		str	  =      AutoConfig.from_pretrained(_UpperCAmelCase    )
    self.assertIsNotNone(_UpperCAmelCase    )
    self.assertIsInstance(_UpperCAmelCase   ,   _UpperCAmelCase    )

    __A	:		int	  =      FlaxAutoModel.from_pretrained(_UpperCAmelCase    )
    self.assertIsNotNone(_UpperCAmelCase    )
    self.assertIsInstance(_UpperCAmelCase   ,   _UpperCAmelCase    )


 @slow
 def 			snake_case__ (   self    ):

  """simple docstring"""







  for model_name in ["bert-base-cased", "bert-large-uncased"]:
   __A	:		Union[str, Any]	  =      AutoTokenizer.from_pretrained(_UpperCAmelCase    )
   __A	:		List[Any]	  =      FlaxBertModel.from_pretrained(_UpperCAmelCase    )
   __A	:		int	  =      tokenizer('Do you support jax jitted function?'   ,   return_tensors=TensorType.JAX    )

   @jax.jit
   def eval(**__lowercase    ):
    return model(**_UpperCAmelCase    )

   eval(**_UpperCAmelCase    ).block_until_ready()


 @slow
 def 			snake_case__ (   self    ):

  """simple docstring"""







  for model_name in ["roberta-base", "roberta-large"]:
   __A	:		Any	  =      AutoTokenizer.from_pretrained(_UpperCAmelCase    )
   __A	:		List[Any]	  =      FlaxRobertaModel.from_pretrained(_UpperCAmelCase    )
   __A	:		int	  =      tokenizer('Do you support jax jitted function?'   ,   return_tensors=TensorType.JAX    )

   @jax.jit
   def eval(**__lowercase    ):
    return model(**_UpperCAmelCase    )

   eval(**_UpperCAmelCase    ).block_until_ready()


 def 			snake_case__ (   self    ):

  """simple docstring"""







  with self.assertRaisesRegex(
      _UpperCAmelCase   ,   'bert-base is not a local folder and is not a valid model identifier'    ):
   __A	:		Dict	  =      FlaxAutoModel.from_pretrained('bert-base'    )


 def 			snake_case__ (   self    ):

  """simple docstring"""







  with self.assertRaisesRegex(
      _UpperCAmelCase   ,   R'aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)'    ):
   __A	:		List[Any]	  =      FlaxAutoModel.from_pretrained(_UpperCAmelCase   ,   revision='aaaaaa'    )


 def 			snake_case__ (   self    ):

  """simple docstring"""







  with self.assertRaisesRegex(
      _UpperCAmelCase   ,   'hf-internal-testing/config-no-model does not appear to have a file named flax_model.msgpack'   ,   ):
   __A	:		List[str]	  =      FlaxAutoModel.from_pretrained('hf-internal-testing/config-no-model'    )







 def 			snake_case__ (   self    ):

  """simple docstring"""







  with self.assertRaisesRegex(_UpperCAmelCase   ,   'Use `from_pt=True` to load this model'    ):
   __A	:		Any	  =      FlaxAutoModel.from_pretrained('hf-internal-testing/tiny-bert-pt-only'    )












"""simple docstring"""

import math






def 		_snake_case	(   _snake_case				:   float							,    _snake_case				:   float				)       ->   float:






      '''simple docstring'''


      if (
          not isinstance(_snake_case							,    (int, float)				)
          or power_factor < -1
          or power_factor > 1
      ):
            raise ValueError('power_factor must be a valid float value between -1 and 1.'				)
      return apparent_power * power_factor






def 		_snake_case	(   _snake_case				:   float							,    _snake_case				:   float				)       ->   float:






      '''simple docstring'''


      if (
          not isinstance(_snake_case							,    (int, float)				)
          or power_factor < -1
          or power_factor > 1
      ):
            raise ValueError('power_factor must be a valid float value between -1 and 1.'				)
      return apparent_power * math.sqrt(1 - power_factor**2				)


if __name__ == "__main__":
       import doctest

       doctest.testmod()

