




"""simple docstring"""







from __future__ import annotations

import random
import unittest

from transformers import TransfoXLConfig, is_tf_available
from transformers.testing_utils import require_tf, slow

from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor
from ...test_pipeline_mixin import PipelineTesterMixin


if is_tf_available():
		import tensorflow as tf

		from transformers import (
		    TF_TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
		    TFTransfoXLForSequenceClassification,
		    TFTransfoXLLMHeadModel,
		    TFTransfoXLModel,
		)






class 					SCREAMING_SNAKE_CASE__    :


						def __init__(							self :	Union[str, Any]  ,  lowerCAmelCase :	List[str]  ,  ):
										lowerCAmelCase              = parent
										lowerCAmelCase              = 13
										lowerCAmelCase              = 7
										lowerCAmelCase              = 30
										lowerCAmelCase              = self.seq_length + self.mem_len
										lowerCAmelCase              = 15
										lowerCAmelCase              = True
										lowerCAmelCase              = True
										lowerCAmelCase              = 99
										lowerCAmelCase              = [10, 50, 80]
										lowerCAmelCase              = 32
										lowerCAmelCase              = 32
										lowerCAmelCase              = 4
										lowerCAmelCase              = 8
										lowerCAmelCase              = 128
										lowerCAmelCase              = 2
										lowerCAmelCase              = 2
										lowerCAmelCase              = None
										lowerCAmelCase              = 1
										lowerCAmelCase              = 0
										lowerCAmelCase              = 3
										lowerCAmelCase              = self.vocab_size - 1
										lowerCAmelCase              = 0.01


						def      __lowercase       (							self :	List[str]    ):
										lowerCAmelCase              = ids_tensor([self.batch_size, self.seq_length]  ,  self.vocab_size    )
										lowerCAmelCase              = ids_tensor([self.batch_size, self.seq_length]  ,  self.vocab_size    )

										lowerCAmelCase              = None
										if self.use_labels:
														lowerCAmelCase              = ids_tensor([self.batch_size, self.seq_length]  ,  self.vocab_size    )

										lowerCAmelCase              = TransfoXLConfig(
										    vocab_size=self.vocab_size  ,  mem_len=self.mem_len  ,  clamp_len=self.clamp_len  ,  cutoffs=self.cutoffs  ,  d_model=self.hidden_size  ,  d_embed=self.d_embed  ,  n_head=self.num_attention_heads  ,  d_head=self.d_head  ,  d_inner=self.d_inner  ,  div_val=self.div_val  ,  n_layer=self.num_hidden_layers  ,  eos_token_id=self.eos_token_id  ,  pad_token_id=self.vocab_size - 1  ,  init_range=self.init_range  ,  num_labels=self.num_labels  ,  )

										return (config, input_ids_a, input_ids_a, lm_labels)


						def      __lowercase       (							self :	str    ):
										random.seed(self.seed    )
										tf.random.set_seed(self.seed    )


						def      __lowercase       (							self :	Dict  ,  lowerCAmelCase :	Tuple  ,  lowerCAmelCase :	Optional[Any]  ,  lowerCAmelCase :	Union[str, Any]  ,  lowerCAmelCase :	List[str]    ):
										lowerCAmelCase              = TFTransfoXLModel(lowercase_    )

										lowerCAmelCase       ,  lowerCAmelCase              = model(lowercase_    ).to_tuple()

										lowerCAmelCase              = {"""input_ids""": input_ids_a, """mems""": mems_a}

										lowerCAmelCase       ,  lowerCAmelCase              = model(lowercase_    ).to_tuple()

										self.parent.assertEqual(hidden_states_a.shape  ,  (self.batch_size, self.seq_length, self.hidden_size)    )
										self.parent.assertEqual(hidden_states_a.shape  ,  (self.batch_size, self.seq_length, self.hidden_size)    )
										self.parent.assertListEqual(
										    [mem.shape for mem in mems_a]  ,  [(self.mem_len, self.batch_size, self.hidden_size)] * self.num_hidden_layers  ,  )
										self.parent.assertListEqual(
										    [mem.shape for mem in mems_a]  ,  [(self.mem_len, self.batch_size, self.hidden_size)] * self.num_hidden_layers  ,  )


						def      __lowercase       (							self :	Optional[Any]  ,  lowerCAmelCase :	str  ,  lowerCAmelCase :	Optional[int]  ,  lowerCAmelCase :	List[Any]  ,  lowerCAmelCase :	Optional[int]    ):
										lowerCAmelCase              = TFTransfoXLLMHeadModel(lowercase_    )

										lowerCAmelCase       ,  lowerCAmelCase              = model(lowercase_    ).to_tuple()

										lowerCAmelCase              = {"""input_ids""": input_ids_a, """labels""": lm_labels}
										lowerCAmelCase       ,  lowerCAmelCase              = model(lowercase_    ).to_tuple()

										lowerCAmelCase       ,  lowerCAmelCase              = model([input_ids_a, mems_a]    ).to_tuple()

										lowerCAmelCase              = {"""input_ids""": input_ids_a, """mems""": mems_a, """labels""": lm_labels}

										lowerCAmelCase       ,  lowerCAmelCase              = model(lowercase_    ).to_tuple()

										self.parent.assertEqual(lm_logits_a.shape  ,  (self.batch_size, self.seq_length, self.vocab_size)    )
										self.parent.assertListEqual(
										    [mem.shape for mem in mems_a]  ,  [(self.mem_len, self.batch_size, self.hidden_size)] * self.num_hidden_layers  ,  )

										self.parent.assertEqual(lm_logits_a.shape  ,  (self.batch_size, self.seq_length, self.vocab_size)    )
										self.parent.assertListEqual(
										    [mem.shape for mem in mems_a]  ,  [(self.mem_len, self.batch_size, self.hidden_size)] * self.num_hidden_layers  ,  )


						def      __lowercase       (							self :	Optional[int]  ,  lowerCAmelCase :	List[Any]  ,  lowerCAmelCase :	List[Any]  ,  lowerCAmelCase :	Dict  ,  lowerCAmelCase :	str    ):
										lowerCAmelCase              = TFTransfoXLForSequenceClassification(lowercase_    )
										lowerCAmelCase              = model(lowercase_    )
										self.parent.assertEqual(result.logits.shape  ,  (self.batch_size, self.num_labels)    )




						def      __lowercase       (							self :	Optional[Any]    ):
										lowerCAmelCase              = self.prepare_config_and_inputs()
										((lowerCAmelCase)       ,  (lowerCAmelCase)       ,  (lowerCAmelCase)       ,  (lowerCAmelCase))              = config_and_inputs
										lowerCAmelCase              = {"""input_ids""": input_ids_a}
										return config, inputs_dict






@require_tf
class 					SCREAMING_SNAKE_CASE__    (    UpperCamelCase__  , UpperCamelCase__  , unittest.TestCase    ):
						_a			  =  (
						    (TFTransfoXLModel, TFTransfoXLLMHeadModel, TFTransfoXLForSequenceClassification) if is_tf_available() else ()
						)
						_a			  =  () if is_tf_available() else ()
						_a			  =  (
						    {
						        'feature-extraction': TFTransfoXLModel,
						        'text-classification': TFTransfoXLForSequenceClassification,
						        'text-generation': TFTransfoXLLMHeadModel,
						        'zero-shot': TFTransfoXLForSequenceClassification,
						    }
						    if is_tf_available()
						    else {}
						)
						# TODO: add this test when TFTransfoXLLMHead has a linear output layer implemented
						_a			  =  False
						_a			  =  False
						_a			  =  False
						_a			  =  False


						def      __lowercase       (							self :	str  ,  lowerCAmelCase :	int  ,  lowerCAmelCase :	Union[str, Any]  ,  lowerCAmelCase :	Optional[Any]  ,  lowerCAmelCase :	str  ,  lowerCAmelCase :	Union[str, Any]    ):
										if pipeline_test_casse_name == "TextGenerationPipelineTests":
														# Get `ValueError: AttributeError: 'NoneType' object has no attribute 'new_ones'` or `AssertionError`.
														# `TransfoXLConfig` was never used in pipeline tests: cannot create a simple
														# tokenizer.
														return True

										return False


						def      __lowercase       (							self :	int    ):
										lowerCAmelCase              = TFTransfoXLModelTester(self    )
										lowerCAmelCase              = ConfigTester(self  ,  config_class=lowercase_  ,  d_embed=37    )


						def      __lowercase       (							self :	List[str]    ):
										self.config_tester.run_common_tests()


						def      __lowercase       (							self :	List[str]    ):
										self.model_tester.set_seed()
										lowerCAmelCase              = self.model_tester.prepare_config_and_inputs()
										self.model_tester.create_and_check_transfo_xl_model(*lowercase_    )


						def      __lowercase       (							self :	List[str]    ):
										self.model_tester.set_seed()
										lowerCAmelCase              = self.model_tester.prepare_config_and_inputs()
										self.model_tester.create_and_check_transfo_xl_lm_head(*lowercase_    )


						def      __lowercase       (							self :	Union[str, Any]    ):
										lowerCAmelCase              = self.model_tester.prepare_config_and_inputs()
										self.model_tester.create_and_check_transfo_xl_for_sequence_classification(*lowercase_    )


						def      __lowercase       (							self :	str    ):
										lowerCAmelCase       ,  lowerCAmelCase              = self.model_tester.prepare_config_and_inputs_for_common()
										lowerCAmelCase              = [TFTransfoXLForSequenceClassification]

										for model_class in self.all_model_classes:
														lowerCAmelCase              = model_class(lowercase_    )
														assert isinstance(model.get_input_embeddings()  ,  tf.keras.layers.Layer    )
														if model_class in list_other_models_with_output_ebd:
																		lowerCAmelCase              = model.get_output_embeddings()
																		assert isinstance(lowercase_  ,  tf.keras.layers.Layer    )
																		lowerCAmelCase              = model.get_bias()
																		assert name is None
														else:
																		lowerCAmelCase              = model.get_output_embeddings()
																		assert x is None
																		lowerCAmelCase              = model.get_bias()
																		assert name is None


						def      __lowercase       (							self :	Tuple    ):
										# TODO JP: Make TransfoXL XLA compliant
										pass


						@slow
						def      __lowercase       (							self :	Union[str, Any]    ):
										for model_name in TF_TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
														lowerCAmelCase              = TFTransfoXLModel.from_pretrained(lowercase_    )
														self.assertIsNotNone(lowercase_    )




						@unittest.skip(reason="""This model doesn't play well with fit() due to not returning a single loss."""    )
						def      __lowercase       (							self :	List[str]    ):
										pass






@require_tf
class 					SCREAMING_SNAKE_CASE__    (    unittest.TestCase    ):


						@unittest.skip("""Skip test until #12651 is resolved."""    )
						@slow
						def      __lowercase       (							self :	List[str]    ):
										lowerCAmelCase              = TFTransfoXLLMHeadModel.from_pretrained("""transfo-xl-wt103"""    )
										# fmt: off
										lowerCAmelCase              = tf.convert_to_tensor([[33,1297,2,1,1009,4,1109,1_1739,4762,358,5,25,245,22,1706,17,2_0098,5,3215,21,37,1110,3,13,1041,4,24,603,490,2,7_1477,2_0098,10_4447,2,2_0961,1,2604,4,1,329,3,6224,831,1_6002,2,8,603,7_8967,2_9546,23,803,20,25,416,5,8,232,4,277,6,1855,4601,3,2_9546,54,8,3609,5,5_7211,49,4,1,277,18,8,1755,1_5691,3,341,25,416,693,4_2573,71,17,401,94,31,1_7919,2,2_9546,7873,18,1,435,23,1_1011,755,5,5167,3,7983,98,84,2,2_9546,3267,8,3609,4,1,4865,1075,2,6087,71,6,346,8,5854,3,2_9546,824,1400,1868,2,19,160,2,311,8,5496,2,2_0920,17,25,1_5097,3,24,24,0]]  ,  dtype=tf.intaa    )  # noqa: E231
										# fmt: on
										#  In 1991 , the remains of Russian Tsar Nicholas II and his family
										#  ( except for Alexei and Maria ) are discovered .
										#  The voice of Nicholas's young son , Tsarevich Alexei Nikolaevich , narrates the
										#  remainder of the story . 1883 Western Siberia ,
										#  a young Grigori Rasputin is asked by his father and a group of men to perform magic .
										#  Rasputin has a vision and denounces one of the men as a horse thief . Although his
										#  father initially slaps him for making such an accusation , Rasputin watches as the
										#  man is chased outside and beaten . Twenty years later , Rasputin sees a vision of
										#  the Virgin Mary , prompting him to become a priest . Rasputin quickly becomes famous ,
										#  with people , even a bishop , begging for his blessing . <eod> </s> <eos>

										# fmt: off
										lowerCAmelCase              = [33,1297,2,1,1009,4,1109,1_1739,4762,358,5,25,245,22,1706,17,2_0098,5,3215,21,37,1110,3,13,1041,4,24,603,490,2,7_1477,2_0098,10_4447,2,2_0961,1,2604,4,1,329,3,6224,831,1_6002,2,8,603,7_8967,2_9546,23,803,20,25,416,5,8,232,4,277,6,1855,4601,3,2_9546,54,8,3609,5,5_7211,49,4,1,277,18,8,1755,1_5691,3,341,25,416,693,4_2573,71,17,401,94,31,1_7919,2,2_9546,7873,18,1,435,23,1_1011,755,5,5167,3,7983,98,84,2,2_9546,3267,8,3609,4,1,4865,1075,2,6087,71,6,346,8,5854,3,2_9546,824,1400,1868,2,19,160,2,311,8,5496,2,2_0920,17,25,1_5097,3,24,24,0,33,1,1857,2,1,1009,4,1109,1_1739,4762,358,5,25,245,28,1110,3,13,1041,4,24,603,490,2,7_1477,2_0098,10_4447,2,2_0961,1,2604,4,1,329,3,0]  # noqa: E231
										# fmt: on
										#  In 1991, the remains of Russian Tsar Nicholas II and his family (
										#  except for Alexei and Maria ) are discovered. The voice of young son,
										#  Tsarevich Alexei Nikolaevich, narrates the remainder of the story.
										#  1883 Western Siberia, a young Grigori Rasputin is asked by his father
										#  and a group of men to perform magic. Rasputin has a vision and
										#  denounces one of the men as a horse thief. Although his father initially
										#  slaps him for making such an accusation, Rasputin watches as the man
										#  is chased outside and beaten. Twenty years later, Rasputin sees a vision
										#  of the Virgin Mary, prompting him to become a priest.
										#  Rasputin quickly becomes famous, with people, even a bishop, begging for
										#  his blessing. <unk> <unk> <eos> In the 1990s, the remains of Russian Tsar
										# Nicholas II and his family were discovered. The voice of <unk> young son,
										# Tsarevich Alexei Nikolaevich, narrates the remainder of the story.<eos>

										lowerCAmelCase              = model.generate(lowercase_  ,  max_length=200  ,  do_sample=lowercase_    )
										self.assertListEqual(output_ids[0].numpy().tolist()  ,  lowercase_    )












'''simple docstring'''

from ..utils import DummyObject, requires_backends






class    UpperCAmelCase	(       metaclass=UpperCamelCase__				):
 __lowercase   		=				["""note_seq"""]
 def __init__(				self      :Optional[Any]						,       *lowercase_      :List[Any]						,       **lowercase_      :List[str]							)->							int:
     requires_backends(self						,       ["note_seq"]							)
 @classmethod
 def      UpperCAmelCase_							(				cls      :str						,       *lowercase_      :Union[str, Any]						,       **lowercase_      :Any							)->							Optional[int]:
     requires_backends(cls						,       ["note_seq"]							)



 @classmethod
 def      UpperCAmelCase_							(				cls      :Dict						,       *lowercase_      :Tuple						,       **lowercase_      :List[Any]							)->							Optional[Any]:
     requires_backends(cls						,       ["note_seq"]							)



