


"""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    ):
      @slow
      def SCREAMING_SNAKE_CASE_	(		self	:	List[str]							):






       '''simple docstring'''


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

         __lowercase									=	FlaxAutoModel.from_pretrained(A_							)
         self.assertIsNotNone(A_							)
         self.assertIsInstance(A_      ,       A_							)
      @slow
      def SCREAMING_SNAKE_CASE_	(		self	:	List[str]							):






       '''simple docstring'''


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

         __lowercase									=	FlaxAutoModel.from_pretrained(A_							)
         self.assertIsNotNone(A_							)
         self.assertIsInstance(A_      ,       A_							)
      @slow
      def SCREAMING_SNAKE_CASE_	(		self	:	List[str]							):






       '''simple docstring'''


       for model_name in ["bert-base-cased", "bert-large-uncased"]:
        __lowercase									=	AutoTokenizer.from_pretrained(A_							)
        __lowercase									=	FlaxBertModel.from_pretrained(A_							)
        __lowercase									=	tokenizer("""Do you support jax jitted function?"""      ,       return_tensors=TensorType.JAX							)

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

        eval(**A_							).block_until_ready()
      @slow
      def SCREAMING_SNAKE_CASE_	(		self	:	List[Any]							):






       '''simple docstring'''


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

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

        eval(**A_							).block_until_ready()
      def SCREAMING_SNAKE_CASE_	(		self	:	str							):






       '''simple docstring'''


       with self.assertRaisesRegex(
           A_      ,       """bert-base is not a local folder and is not a valid model identifier"""							):
        __lowercase									=	FlaxAutoModel.from_pretrained("""bert-base"""							)
      def SCREAMING_SNAKE_CASE_	(		self	:	Union[str, Any]							):






       '''simple docstring'''


       with self.assertRaisesRegex(
           A_      ,       r"""aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)"""							):
        __lowercase									=	FlaxAutoModel.from_pretrained(A_      ,       revision="""aaaaaa"""							)
      def SCREAMING_SNAKE_CASE_	(		self	:	Optional[Any]							):






       '''simple docstring'''


       with self.assertRaisesRegex(
           A_      ,       """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 SCREAMING_SNAKE_CASE_	(		self	:	str							):






       '''simple docstring'''


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




"""simple docstring"""

# Algorithm for the pigeonhole sorting




def lowerCAmelCase_      (				UpperCamelCase__	: Dict ):






 """simple docstring"""







 __lowercase									=	min(UpperCamelCase__ )  # min() finds the minimum value
 __lowercase									=	max(UpperCamelCase__ )  # max() finds the maximum value

 __lowercase									=	max_val - min_val + 1  # size is difference of max and min values plus one

 # list of pigeonholes of size equal to the variable size
 __lowercase									=	[0] * size

 # Populate the pigeonholes.
 for x in a:
  assert isinstance(UpperCamelCase__				,   UpperCamelCase__ ), "integers only please"
  holes[x - min_val] += 1

 # Putting the elements back into the array in an order.
 __lowercase									=	0
 for count in range(UpperCamelCase__ ):
  while holes[count] > 0:
   holes[count] -= 1
   __lowercase									=	count + min_val
   i += 1


def lowerCAmelCase_      (				):






 """simple docstring"""







 __lowercase									=	[8, 3, 2, 7, 4, 6, 8]
 pigeonhole_sort(UpperCamelCase__ )
 print("""Sorted order is:"""				,   """ """.join(UpperCamelCase__ ) )


if __name__ == "__main__":
       main()
