


'''simple docstring'''






import unittest

import numpy as np

from transformers import DistilBertConfig, 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.distilbert.modeling_flax_distilbert import (
     FlaxDistilBertForMaskedLM,
     FlaxDistilBertForMultipleChoice,
     FlaxDistilBertForQuestionAnswering,
     FlaxDistilBertForSequenceClassification,
     FlaxDistilBertForTokenClassification,
     FlaxDistilBertModel,
 )






class  __magic_name__							(		unittest.TestCase    ):






       def __init__(      self  ,							snake_case  ,							snake_case=1_3  ,							snake_case=7  ,							snake_case=True  ,							snake_case=True  ,							snake_case=True  ,							snake_case=True  ,							snake_case=9_9  ,							snake_case=3_2  ,							snake_case=5  ,							snake_case=4  ,							snake_case=3_7  ,							snake_case="gelu"  ,							snake_case=0.1  ,							snake_case=0.1  ,							snake_case=5_1_2  ,							snake_case=1_6  ,							snake_case=2  ,							snake_case=0.02  ,							snake_case=4  ,							)						->  int:




          '''simple docstring'''
          _UpperCAmelCase       :       int							   =parent
          _UpperCAmelCase       :       Any							   =batch_size
          _UpperCAmelCase       :       Optional[int]							   =seq_length
          _UpperCAmelCase       :       Tuple							   =is_training
          _UpperCAmelCase       :       str							   =use_attention_mask
          _UpperCAmelCase       :       int							   =use_token_type_ids
          _UpperCAmelCase       :       Optional[int]							   =use_labels
          _UpperCAmelCase       :       List[str]							   =vocab_size
          _UpperCAmelCase       :       List[Any]							   =hidden_size
          _UpperCAmelCase       :       Dict							   =num_hidden_layers
          _UpperCAmelCase       :       List[Any]							   =num_attention_heads
          _UpperCAmelCase       :       Dict							   =intermediate_size
          _UpperCAmelCase       :       str							   =hidden_act
          _UpperCAmelCase       :       Dict							   =hidden_dropout_prob
          _UpperCAmelCase       :       str							   =attention_probs_dropout_prob
          _UpperCAmelCase       :       str							   =max_position_embeddings
          _UpperCAmelCase       :       Optional[int]							   =type_vocab_size
          _UpperCAmelCase       :       str							   =type_sequence_label_size
          _UpperCAmelCase       :       List[Any]							   =initializer_range
          _UpperCAmelCase       :       Dict							   =num_choices






       def       lowerCAmelCase		(      self)						->  Any:




          '''simple docstring'''
          _UpperCAmelCase       :       Union[str, Any]							   =ids_tensor([self.batch_size, self.seq_length]  ,							self.vocab_size)

          _UpperCAmelCase       :       Tuple							   =None
          if self.use_attention_mask:
             _UpperCAmelCase       :       Optional[Any]							   =random_attention_mask([self.batch_size, self.seq_length])

          _UpperCAmelCase       :       Any							   =DistilBertConfig(
              vocab_size=self.vocab_size  ,							dim=self.hidden_size  ,							n_layers=self.num_hidden_layers  ,							n_heads=self.num_attention_heads  ,							hidden_dim=self.intermediate_size  ,							hidden_act=self.hidden_act  ,							dropout=self.hidden_dropout_prob  ,							attention_dropout=self.attention_probs_dropout_prob  ,							max_position_embeddings=self.max_position_embeddings  ,							initializer_range=self.initializer_range  ,							tie_weights_=snake_case  ,							)

          return config, input_ids, attention_mask






       def       lowerCAmelCase		(      self)						->  Any:




          '''simple docstring'''
          _UpperCAmelCase       :       Any							   =self.prepare_config_and_inputs()
          _UpperCAmelCase       :       int							   =config_and_inputs
          _UpperCAmelCase       :       Any							   ={'input_ids': input_ids, 'attention_mask': attention_mask}
          return config, inputs_dict






@require_flax
class  __magic_name__							(		lowerCAmelCase ,unittest.TestCase    ):
       UpperCAmelCase										=(
           (
               FlaxDistilBertModel,
               FlaxDistilBertForMaskedLM,
               FlaxDistilBertForMultipleChoice,
               FlaxDistilBertForQuestionAnswering,
               FlaxDistilBertForSequenceClassification,
               FlaxDistilBertForTokenClassification,
               FlaxDistilBertForQuestionAnswering,
           )
           if is_flax_available()
           else ()
       )






       def       lowerCAmelCase		(      self)						->  Dict:




          '''simple docstring'''
          _UpperCAmelCase       :       Tuple							   =FlaxDistilBertModelTester(self)






       @slow
       def       lowerCAmelCase		(      self)						->  List[str]:




          '''simple docstring'''
          for model_class_name in self.all_model_classes:
             _UpperCAmelCase       :       Tuple							   =model_class_name.from_pretrained('distilbert-base-uncased')
             _UpperCAmelCase       :       Optional[int]							   =model(np.ones((1, 1)))
             self.assertIsNotNone(snake_case)






@require_flax
class  __magic_name__							(		unittest.TestCase    ):






       @slow
       def       lowerCAmelCase		(      self)						->  Optional[int]:




          '''simple docstring'''
          _UpperCAmelCase       :       Optional[int]							   =FlaxDistilBertModel.from_pretrained('distilbert-base-uncased')
          _UpperCAmelCase       :       Any							   =np.array([[0, 3_4_5, 2_3_2, 3_2_8, 7_4_0, 1_4_0, 1_6_9_5, 6_9, 6_0_7_8, 1_5_8_8, 2]])
          _UpperCAmelCase       :       Union[str, Any]							   =np.array([[0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]])
          _UpperCAmelCase       :       Any							   =model(snake_case  ,							attention_mask=snake_case)[0]
          _UpperCAmelCase       :       Any							   =(1, 1_1, 7_6_8)
          self.assertEqual(output.shape  ,							snake_case)
          _UpperCAmelCase       :       List[str]							   =np.array([[[-0.16_39, 0.32_99, 0.16_48], [-0.17_46, 0.32_89, 0.17_10], [-0.18_84, 0.33_57, 0.18_10]]])

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





'''simple docstring'''






lowercase							=[0, 2, 4, 6, 8]
lowercase							=[1, 3, 5, 7, 9]





def lowerCamelCase__      (						__lowerCamelCase	:							int	,   __lowerCamelCase	:							int	,   __lowerCamelCase	:							list[int]	,   __lowerCamelCase	:							int							):







   '''simple docstring'''




   if remaining_length == 0:
      if digits[0] == 0 or digits[-1] == 0:
         return 0

      for i in range(length // 2 - 1	,   -1	,   -1							):
         remainder += digits[i] + digits[length - i - 1]

         if remainder % 2 == 0:
            return 0

         remainder //= 1_0

      return 1

   if remaining_length == 1:
      if remainder % 2 == 0:
         return 0

      _UpperCAmelCase       :       Union[str, Any]							   =0
      for digit in range(1_0							):
         _UpperCAmelCase       :       str							   =digit
         result += reversible_numbers(
             0	,   (remainder + 2 * digit) // 1_0	,   __lowerCamelCase	,   __lowerCamelCase							)
      return result

   _UpperCAmelCase       :       Optional[Any]							   =0
   for digita in range(1_0							):
      _UpperCAmelCase       :       Any							   =digita

      if (remainder + digita) % 2 == 0:
         _UpperCAmelCase       :       Optional[int]							   =ODD_DIGITS
      else:
         _UpperCAmelCase       :       Union[str, Any]							   =EVEN_DIGITS

      for digita in other_parity_digits:
         _UpperCAmelCase       :       int							   =digita
         result += reversible_numbers(
             remaining_length - 2	,   (remainder + digita + digita) // 1_0	,   __lowerCamelCase	,   __lowerCamelCase	,   )
   return result





def lowerCamelCase__      (						__lowerCamelCase	:							int = 9							):







   '''simple docstring'''




   _UpperCAmelCase       :       Optional[int]							   =0
   for length in range(1	,   max_power + 1							):
      result += reversible_numbers(__lowerCamelCase	,   0	,   [0] * length	,   __lowerCamelCase							)
   return result


if __name__ == "__main__":
 print(F"""{solution() = }""")

