"""simple docstring"""


import random







def 					__a   (		A    ,				A      ):






     '''simple docstring'''



     lowercase__ ,						lowercase__ ,						lowercase__				 =							[], [], []
     for element in data:
          if element < pivot:
               less.append(A      )
          elif element > pivot:
               greater.append(A      )
          else:
               equal.append(A      )
     return less, equal, greater







def 					__a   (		A    ,				A      ):






     '''simple docstring'''



     if index >= len(A      ) or index < 0:
          return None

     lowercase__				 =							items[random.randint(0    ,				len(A      ) - 1      )]
     lowercase__				 =							0
     lowercase__ ,						lowercase__ ,						lowercase__				 =							_partition(A    ,				A      )
     lowercase__				 =							len(A      )
     lowercase__				 =							len(A      )

     # index is the pivot
     if m <= index < m + count:
          return pivot
     # must be in smaller
     elif m > index:
          return quick_select(A    ,				A      )
     # must be in larger
     else:
          return quick_select(A    ,				index - (m + count)      )





"""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    a__    (   unittest.TestCase	):


   @slow
   def 	snake_case__	(     self  ):
        '''simple docstring'''



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

                  lowercase__				 =							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  ):
                  lowercase__				 =							AutoConfig.from_pretrained(_UpperCAmelCase  )
                  self.assertIsNotNone(_UpperCAmelCase  )
                  self.assertIsInstance(_UpperCAmelCase,				_UpperCAmelCase  )

                  lowercase__				 =							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"]:
             lowercase__				 =							AutoTokenizer.from_pretrained(_UpperCAmelCase  )
             lowercase__				 =							FlaxBertModel.from_pretrained(_UpperCAmelCase  )
             lowercase__				 =							tokenizer("Do you support jax jitted function?",				return_tensors=TensorType.JAX  )

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

             eval(**_UpperCAmelCase  ).block_until_ready()


   @slow
   def 	snake_case__	(     self  ):
        '''simple docstring'''



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

             @jax.jit
             def eval(**_UpperCAmelCase  ):
                  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"  ):
             lowercase__				 =							FlaxAutoModel.from_pretrained("bert-base"  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        with self.assertRaisesRegex(
            _UpperCAmelCase,				R"aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)"  ):
             lowercase__				 =							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",				):
             lowercase__				 =							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"  ):
             lowercase__				 =							FlaxAutoModel.from_pretrained("hf-internal-testing/tiny-bert-pt-only"  )




