



'''simple docstring'''





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 					snake_case			(unittest.TestCase ):



       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  ,)	->				Optional[int]:
           lowercase__									=    parent
           lowercase__									=    batch_size
           lowercase__									=    seq_length
           lowercase__									=    is_training
           lowercase__									=    use_attention_mask
           lowercase__									=    use_token_type_ids
           lowercase__									=    use_labels
           lowercase__									=    vocab_size
           lowercase__									=    hidden_size
           lowercase__									=    num_hidden_layers
           lowercase__									=    num_attention_heads
           lowercase__									=    intermediate_size
           lowercase__									=    hidden_act
           lowercase__									=    hidden_dropout_prob
           lowercase__									=    attention_probs_dropout_prob
           lowercase__									=    max_position_embeddings
           lowercase__									=    type_vocab_size
           lowercase__									=    type_sequence_label_size
           lowercase__									=    initializer_range
           lowercase__									=    num_choices



       def 				_a   (					self   )	->				Union[str, Any]:
           lowercase__									=    ids_tensor([self.batch_size, self.seq_length]  ,self.vocab_size   )

           lowercase__									=    None
           if self.use_attention_mask:
               lowercase__									=    random_attention_mask([self.batch_size, self.seq_length]   )

           lowercase__									=    None
           if self.use_token_type_ids:
               lowercase__									=    ids_tensor([self.batch_size, self.seq_length]  ,self.type_vocab_size   )

           lowercase__									=    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=UpperCAmelCase_  ,initializer_range=self.initializer_range  ,)

           return config, input_ids, token_type_ids, attention_mask







       def 				_a   (					self   )	->				Any:
           lowercase__									=    self.prepare_config_and_inputs()
           lowercase__							,							lowercase__							,							lowercase__							,							lowercase__									=    config_and_inputs
           lowercase__									=    {"input_ids": input_ids, "token_type_ids": token_type_ids, "attention_mask": attention_mask}
           return config, inputs_dict





@require_flax
class 					snake_case			(UpperCamelCase		,   unittest.TestCase ):
       lowerCAmelCase__	:Union[str, Any]     =       True

       lowerCAmelCase__	:List[str]     =       (
           (
               FlaxRoFormerModel,
               FlaxRoFormerForMaskedLM,
               FlaxRoFormerForSequenceClassification,
               FlaxRoFormerForTokenClassification,
               FlaxRoFormerForMultipleChoice,
               FlaxRoFormerForQuestionAnswering,
           )
           if is_flax_available()
           else ()
       )



       def 				_a   (					self   )	->				List[str]:
           lowercase__									=    FlaxRoFormerModelTester(self   )







       @slow
       def 				_a   (					self   )	->				List[str]:
           for model_class_name in self.all_model_classes:
               lowercase__									=    model_class_name.from_pretrained("junnyu/roformer_chinese_small"  ,from_pt=UpperCAmelCase_   )
               lowercase__									=    model(np.ones((1, 1)   )   )
               self.assertIsNotNone(UpperCAmelCase_   )





@require_flax
class 					snake_case			(unittest.TestCase ):



       @slow
       def 				_a   (					self   )	->				List[str]:
           lowercase__									=    FlaxRoFormerForMaskedLM.from_pretrained("junnyu/roformer_chinese_base"   )
           lowercase__									=    jnp.array([[0, 1, 2, 3, 4, 5]]   )
           lowercase__									=    model(UpperCAmelCase_   )[0]

           lowercase__									=    50_000

           lowercase__									=    (1, 6, vocab_size)
           self.assertEqual(output.shape  ,UpperCAmelCase_   )

           lowercase__									=    jnp.array(
               [[[-0.12_05, -1.02_65, 0.29_22], [-1.51_34, 0.19_74, 0.15_19], [-5.01_35, -3.90_03, -0.84_04]]]   )

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









'''simple docstring'''





def 							lowerCamelCase	(					_snake_case	:    list							):





    '''simple docstring'''


    if not isinstance(_snake_case  ,_snake_case							):
        raise ValueError("Input series is not valid, valid series - [2, 4, 6]"							)
    if len(_snake_case							) == 0:
        raise ValueError("Input list must be a non empty list"							)
    if len(_snake_case							) == 1:
        return True
    lowercase__									=    series[1] - series[0]
    for index in range(len(_snake_case							) - 1							):
        if series[index + 1] - series[index] != common_diff:
            return False
    return True




def 							lowerCamelCase	(					_snake_case	:    list							):





    '''simple docstring'''


    if not isinstance(_snake_case  ,_snake_case							):
        raise ValueError("Input series is not valid, valid series - [2, 4, 6]"							)
    if len(_snake_case							) == 0:
        raise ValueError("Input list must be a non empty list"							)
    lowercase__									=    0
    for val in series:
        answer += val
    return answer / len(_snake_case							)


if __name__ == "__main__":
 import doctest

 doctest.testmod()




