


import unittest

import numpy as np

from transformers import RoFormerConfig, is_flax_available
from transformers.testing_utils import require_flax, slow

from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor, random_attention_mask


if is_flax_available():
   import jax.numpy as jnp

   from transformers.models.roformer.modeling_flax_roformer import (
       FlaxRoFormerForMaskedLM,
       FlaxRoFormerForMultipleChoice,
       FlaxRoFormerForQuestionAnswering,
       FlaxRoFormerForSequenceClassification,
       FlaxRoFormerForTokenClassification,
       FlaxRoFormerModel,
   )






class      UpperCamelCase					(		unittest.TestCase     ):


   '''simple docstring'''







   def __init__(     self   ,							UpperCamelCase_   ,							UpperCamelCase_=13   ,							UpperCamelCase_=7   ,							UpperCamelCase_=True   ,							UpperCamelCase_=True   ,							UpperCamelCase_=True   ,							UpperCamelCase_=True   ,							UpperCamelCase_=99   ,							UpperCamelCase_=32   ,							UpperCamelCase_=5   ,							UpperCamelCase_=4   ,							UpperCamelCase_=37   ,							UpperCamelCase_="gelu"   ,							UpperCamelCase_=0.1   ,							UpperCamelCase_=0.1   ,							UpperCamelCase_=512   ,							UpperCamelCase_=16   ,							UpperCamelCase_=2   ,							UpperCamelCase_=0.02   ,							UpperCamelCase_=4   ,							):
        lowercase_       :str     =       parent
        lowercase_       :Tuple     =       batch_size
        lowercase_       :Union[str, Any]     =       seq_length
        lowercase_       :Optional[int]     =       is_training
        lowercase_       :Optional[Any]     =       use_attention_mask
        lowercase_       :Tuple     =       use_token_type_ids
        lowercase_       :Union[str, Any]     =       use_labels
        lowercase_       :int     =       vocab_size
        lowercase_       :Optional[Any]     =       hidden_size
        lowercase_       :List[Any]     =       num_hidden_layers
        lowercase_       :Optional[int]     =       num_attention_heads
        lowercase_       :Dict     =       intermediate_size
        lowercase_       :int     =       hidden_act
        lowercase_       :Dict     =       hidden_dropout_prob
        lowercase_       :str     =       attention_probs_dropout_prob
        lowercase_       :Optional[Any]     =       max_position_embeddings
        lowercase_       :Dict     =       type_vocab_size
        lowercase_       :Any     =       type_sequence_label_size
        lowercase_       :int     =       initializer_range
        lowercase_       :Optional[Any]     =       num_choices
   def 		UpperCamelCase  (     self		):
        lowercase_       :Tuple     =       ids_tensor([self.batch_size, self.seq_length]   ,							self.vocab_size		)

        lowercase_       :Union[str, Any]     =       None
        if self.use_attention_mask:
             lowercase_       :int     =       random_attention_mask([self.batch_size, self.seq_length]		)

        lowercase_       :Tuple     =       None
        if self.use_token_type_ids:
             lowercase_       :Optional[int]     =       ids_tensor([self.batch_size, self.seq_length]   ,							self.type_vocab_size		)

        lowercase_       :Optional[int]     =       RoFormerConfig(
            vocab_size=self.vocab_size   ,							hidden_size=self.hidden_size   ,							num_hidden_layers=self.num_hidden_layers   ,							num_attention_heads=self.num_attention_heads   ,							intermediate_size=self.intermediate_size   ,							hidden_act=self.hidden_act   ,							hidden_dropout_prob=self.hidden_dropout_prob   ,							attention_probs_dropout_prob=self.attention_probs_dropout_prob   ,							max_position_embeddings=self.max_position_embeddings   ,							type_vocab_size=self.type_vocab_size   ,							is_decoder=_a   ,							initializer_range=self.initializer_range   ,							)

        return config, input_ids, token_type_ids, attention_mask




   def 		UpperCamelCase  (     self		):
        lowercase_       :Optional[int]     =       self.prepare_config_and_inputs()
        lowercase_       :List[str]     =       config_and_inputs
        lowercase_       :List[Any]     =       {"""input_ids""": input_ids, """token_type_ids""": token_type_ids, """attention_mask""": attention_mask}
        return config, inputs_dict






@require_flax
class      UpperCamelCase					(		UpperCamelCase_						,      unittest.TestCase     ):


   '''simple docstring'''







   lowercase					:	Any									=True

   lowercase					:	Optional[Any]									=(
       (
           FlaxRoFormerModel,
           FlaxRoFormerForMaskedLM,
           FlaxRoFormerForSequenceClassification,
           FlaxRoFormerForTokenClassification,
           FlaxRoFormerForMultipleChoice,
           FlaxRoFormerForQuestionAnswering,
       )
       if is_flax_available()
       else ()
   )
   def 		UpperCamelCase  (     self		):
        lowercase_       :Union[str, Any]     =       FlaxRoFormerModelTester(self		)




   @slow
   def 		UpperCamelCase  (     self		):


        for model_class_name in self.all_model_classes:
             lowercase_       :Tuple     =       model_class_name.from_pretrained('''junnyu/roformer_chinese_small'''   ,							from_pt=_a		)
             lowercase_       :Tuple     =       model(np.ones((1, 1)		)		)
             self.assertIsNotNone(_a		)






@require_flax
class      UpperCamelCase					(		unittest.TestCase     ):


   '''simple docstring'''







   @slow
   def 		UpperCamelCase  (     self		):
        lowercase_       :Union[str, Any]     =       FlaxRoFormerForMaskedLM.from_pretrained('''junnyu/roformer_chinese_base'''		)
        lowercase_       :Tuple     =       jnp.array([[0, 1, 2, 3, 4, 5]]		)
        lowercase_       :str     =       model(_a		)[0]

        lowercase_       :List[Any]     =       5_0000

        lowercase_       :Optional[Any]     =       (1, 6, vocab_size)
        self.assertEqual(output.shape   ,							_a		)

        lowercase_       :Optional[Any]     =       jnp.array(
            [[[-0.1205, -1.0265, 0.2922], [-1.5134, 0.1974, 0.1519], [-5.0135, -3.9003, -0.8404]]]		)

        self.assertTrue(jnp.allclose(output[:, :3, :3]   ,							_a   ,							atol=1E-4		)		)





def     UpperCamelCase    (      _a		)					->							int:
     '''simple docstring'''





     assert isinstance(_a       ,		_a		), f"The input value of [n={number}] is not an integer"

     if number == 1:
          return 2
     elif number < 1:
          lowercase_       :str     =       f"The input value of [n={number}] has to be > 0"
          raise ValueError(_a		)
     else:
          lowercase_       :List[str]     =       sylvester(number - 1		)
          lowercase_       :Union[str, Any]     =       num - 1
          lowercase_       :List[str]     =       num
          return lower * upper + 1


if __name__ == "__main__":
   print(f"The 8th number in Sylvester's sequence: {sylvester(8)}")

