


'''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    lowercase	(							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    ,   ):

							'''simple docstring'''


							UpperCamelCase__   :int												= parent
							UpperCamelCase__   :int												= batch_size
							UpperCamelCase__   :Union[str, Any]												= seq_length
							UpperCamelCase__   :str												= is_training
							UpperCamelCase__   :Union[str, Any]												= use_attention_mask
							UpperCamelCase__   :Any												= use_token_type_ids
							UpperCamelCase__   :Optional[int]												= use_labels
							UpperCamelCase__   :List[Any]												= vocab_size
							UpperCamelCase__   :Optional[Any]												= hidden_size
							UpperCamelCase__   :Union[str, Any]												= num_hidden_layers
							UpperCamelCase__   :Tuple												= num_attention_heads
							UpperCamelCase__   :List[Any]												= intermediate_size
							UpperCamelCase__   :Optional[Any]												= hidden_act
							UpperCamelCase__   :Tuple												= hidden_dropout_prob
							UpperCamelCase__   :Optional[int]												= attention_probs_dropout_prob
							UpperCamelCase__   :Optional[Any]												= max_position_embeddings
							UpperCamelCase__   :Optional[int]												= type_vocab_size
							UpperCamelCase__   :List[str]												= type_sequence_label_size
							UpperCamelCase__   :Any												= initializer_range
							UpperCamelCase__   :str												= num_choices




		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							UpperCamelCase__   :Any												= ids_tensor([self.batch_size, self.seq_length]    ,   self.vocab_size							)

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

							UpperCamelCase__   :Dict												= 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_=UpperCamelCase_    ,   )

							return config, input_ids, attention_mask




		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							UpperCamelCase__   :Tuple												= self.prepare_config_and_inputs()
							UpperCamelCase__					,				UpperCamelCase__					,				UpperCamelCase__   :Dict												= config_and_inputs
							UpperCamelCase__   :Any												= {'''input_ids''': input_ids, '''attention_mask''': attention_mask}
							return config, inputs_dict



@require_flax
class    lowercase	(							A_	,		unittest.TestCase					):

		"""simple docstring"""

		_a     =				(
		    (
		        FlaxDistilBertModel,
		        FlaxDistilBertForMaskedLM,
		        FlaxDistilBertForMultipleChoice,
		        FlaxDistilBertForQuestionAnswering,
		        FlaxDistilBertForSequenceClassification,
		        FlaxDistilBertForTokenClassification,
		        FlaxDistilBertForQuestionAnswering,
		    )
		    if is_flax_available()
		    else ()
		)




		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							UpperCamelCase__   :List[str]												= FlaxDistilBertModelTester(self							)




		@slow
		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							for model_class_name in self.all_model_classes:
												UpperCamelCase__   :Tuple												= model_class_name.from_pretrained('''distilbert-base-uncased'''							)
												UpperCamelCase__   :Union[str, Any]												= model(np.ones((1, 1)							)							)
												self.assertIsNotNone(UpperCamelCase_							)



@require_flax
class    lowercase	(							unittest.TestCase					):

		"""simple docstring"""

		@slow
		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							UpperCamelCase__   :List[str]												= FlaxDistilBertModel.from_pretrained('''distilbert-base-uncased'''							)
							UpperCamelCase__   :Optional[int]												= np.array([[0, 345, 232, 328, 740, 140, 1695, 69, 6078, 1588, 2]]							)
							UpperCamelCase__   :str												= np.array([[0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]							)
							UpperCamelCase__   :Any												= model(UpperCamelCase_    ,   attention_mask=UpperCamelCase_							)[0]
							UpperCamelCase__   :Any												= (1, 11, 768)
							self.assertEqual(output.shape    ,   UpperCamelCase_							)
							UpperCamelCase__   :List[str]												= np.array([[[-0.1639, 0.3299, 0.1648], [-0.1746, 0.3289, 0.1710], [-0.1884, 0.3357, 0.1810]]]							)

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



def        _lowerCamelCase(	lowercase__   , lowercase__ = " "	)						->	list:

		'''simple docstring'''







		__lowercase=			[]

		__lowercase=			0
		for index, char in enumerate(lowercase__	):
				if char == separator:
						split_words.append(string[last_index:index]	)
						__lowercase=			index + 1
				elif index + 1 == len(lowercase__	):
						split_words.append(string[last_index : index + 1]	)
		return split_words


if __name__ == "__main__":
	from doctest import testmod

	testmod()






