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   _lowerCAmelCase		:







							def __init__(				self     :    Any	,					__snake_case     :    int	,					):
										lowerCamelCase						:Tuple						  =     parent
										lowerCamelCase						:List[str]						  =     13
										lowerCamelCase						:Tuple						  =     7
										lowerCamelCase						:List[Any]						  =     30
										lowerCamelCase						:Optional[int]						  =     self.seq_length + self.mem_len
										lowerCamelCase						:List[str]						  =     15
										lowerCamelCase						:Union[str, Any]						  =     True
										lowerCamelCase						:Dict						  =     True
										lowerCamelCase						:List[Any]						  =     99
										lowerCamelCase						:List[Any]						  =     [10, 50, 80]
										lowerCamelCase						:int						  =     32
										lowerCamelCase						:Tuple						  =     32
										lowerCamelCase						:List[Any]						  =     4
										lowerCamelCase						:Any						  =     8
										lowerCamelCase						:str						  =     128
										lowerCamelCase						:Any						  =     2
										lowerCamelCase						:List[str]						  =     2
										lowerCamelCase						:Dict						  =     None
										lowerCamelCase						:List[Any]						  =     1
										lowerCamelCase						:List[str]						  =     0
										lowerCamelCase						:str						  =     3
										lowerCamelCase						:Union[str, Any]						  =     self.vocab_size - 1
										lowerCamelCase						:str						  =     0.0_1







							def 				snake_case  (				self     :    Tuple		):
										lowerCamelCase						:int						  =     ids_tensor([self.batch_size, self.seq_length]	,					self.vocab_size		)
										lowerCamelCase						:Dict						  =     ids_tensor([self.batch_size, self.seq_length]	,					self.vocab_size		)

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

										lowerCamelCase						:str						  =     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 				snake_case  (				self     :    Any		):
										random.seed(self.seed		)
										tf.random.set_seed(self.seed		)







							def 				snake_case  (				self     :    List[Any]	,					__snake_case     :    Optional[int]	,					__snake_case     :    Optional[int]	,					__snake_case     :    Tuple	,					__snake_case     :    Any		):
										lowerCamelCase						:List[Any]						  =     TFTransfoXLModel(lowercase_		)

										lowerCamelCase						:Union[str, Any]						  =     model(lowercase_		).to_tuple()

										lowerCamelCase						:Optional[int]						  =     {"input_ids": input_ids_a, "mems": mems_a}

										lowerCamelCase						:Dict						  =     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 				snake_case  (				self     :    Dict	,					__snake_case     :    Dict	,					__snake_case     :    Union[str, Any]	,					__snake_case     :    Tuple	,					__snake_case     :    Any		):
										lowerCamelCase						:str						  =     TFTransfoXLLMHeadModel(lowercase_		)

										lowerCamelCase						:int						  =     model(lowercase_		).to_tuple()

										lowerCamelCase						:List[str]						  =     {"input_ids": input_ids_a, "labels": lm_labels}
										lowerCamelCase						:List[Any]						  =     model(lowercase_		).to_tuple()

										lowerCamelCase						:str						  =     model([input_ids_a, mems_a]		).to_tuple()

										lowerCamelCase						:List[Any]						  =     {"input_ids": input_ids_a, "mems": mems_a, "labels": lm_labels}

										lowerCamelCase						:Dict						  =     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 				snake_case  (				self     :    Optional[Any]	,					__snake_case     :    Optional[Any]	,					__snake_case     :    Any	,					__snake_case     :    Any	,					__snake_case     :    Any		):
										lowerCamelCase						:Tuple						  =     TFTransfoXLForSequenceClassification(lowercase_		)
										lowerCamelCase						:Any						  =     model(lowercase_		)
										self.parent.assertEqual(result.logits.shape	,					(self.batch_size, self.num_labels)		)







							def 				snake_case  (				self     :    str		):
										lowerCamelCase						:Any						  =     self.prepare_config_and_inputs()
										(lowerCamelCase)						:Union[str, Any]						  =     config_and_inputs
										lowerCamelCase						:int						  =     {"input_ids": input_ids_a}
										return config, inputs_dict


@require_tf
class   _lowerCAmelCase		(     snake_case__      ,   snake_case__      ,   unittest.TestCase				):
							_UpperCAmelCase						    =     (
							    (TFTransfoXLModel, TFTransfoXLLMHeadModel, TFTransfoXLForSequenceClassification) if is_tf_available() else ()
							)
							_UpperCAmelCase						    =     () if is_tf_available() else ()
							_UpperCAmelCase						    =     (
							    {
							        '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
							_UpperCAmelCase						    =     False
							_UpperCAmelCase						    =     False
							_UpperCAmelCase						    =     False
							_UpperCAmelCase						    =     False







							def 				snake_case  (				self     :    Union[str, Any]	,					__snake_case     :    Tuple	,					__snake_case     :    Union[str, Any]	,					__snake_case     :    List[Any]	,					__snake_case     :    List[Any]	,					__snake_case     :    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 				snake_case  (				self     :    Any		):
										lowerCamelCase						:int						  =     TFTransfoXLModelTester(self		)
										lowerCamelCase						:Any						  =     ConfigTester(self	,					config_class=lowercase_	,					d_embed=37		)







							def 				snake_case  (				self     :    Tuple		):
										self.config_tester.run_common_tests()







							def 				snake_case  (				self     :    Any		):
										self.model_tester.set_seed()
										lowerCamelCase						:Optional[int]						  =     self.model_tester.prepare_config_and_inputs()
										self.model_tester.create_and_check_transfo_xl_model(*lowercase_		)







							def 				snake_case  (				self     :    str		):
										self.model_tester.set_seed()
										lowerCamelCase						:str						  =     self.model_tester.prepare_config_and_inputs()
										self.model_tester.create_and_check_transfo_xl_lm_head(*lowercase_		)







							def 				snake_case  (				self     :    int		):
										lowerCamelCase						:Tuple						  =     self.model_tester.prepare_config_and_inputs()
										self.model_tester.create_and_check_transfo_xl_for_sequence_classification(*lowercase_		)







							def 				snake_case  (				self     :    Union[str, Any]		):
										lowerCamelCase						:Optional[Any]						  =     self.model_tester.prepare_config_and_inputs_for_common()
										lowerCamelCase						:str						  =     [TFTransfoXLForSequenceClassification]

										for model_class in self.all_model_classes:
													lowerCamelCase						:Dict						  =     model_class(lowercase_		)
													assert isinstance(model.get_input_embeddings()	,					tf.keras.layers.Layer		)
													if model_class in list_other_models_with_output_ebd:
																lowerCamelCase						:Union[str, Any]						  =     model.get_output_embeddings()
																assert isinstance(lowercase_	,					tf.keras.layers.Layer		)
																lowerCamelCase						:Union[str, Any]						  =     model.get_bias()
																assert name is None
													else:
																lowerCamelCase						:Dict						  =     model.get_output_embeddings()
																assert x is None
																lowerCamelCase						:str						  =     model.get_bias()
																assert name is None







							def 				snake_case  (				self     :    Optional[int]		):
										# TODO JP: Make TransfoXL XLA compliant
										pass







							@slow
							def 				snake_case  (				self     :    int		):
										for model_name in TF_TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
													lowerCamelCase						:int						  =     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 				snake_case  (				self     :    Dict		):
										pass


@require_tf
class   _lowerCAmelCase		(     unittest.TestCase				):







							@unittest.skip('''Skip test until #12651 is resolved.'''		)
							@slow
							def 				snake_case  (				self     :    Tuple		):
										lowerCamelCase						:List[str]						  =     TFTransfoXLLMHeadModel.from_pretrained('''transfo-xl-wt103'''		)
										# fmt: off
										lowerCamelCase						:Union[str, Any]						  =     tf.convert_to_tensor([[33,1297,2,1,1009,4,1109,11739,4762,358,5,25,245,22,1706,17,20098,5,3215,21,37,1110,3,13,1041,4,24,603,490,2,71477,20098,104447,2,20961,1,2604,4,1,329,3,6224,831,16002,2,8,603,78967,29546,23,803,20,25,416,5,8,232,4,277,6,1855,4601,3,29546,54,8,3609,5,57211,49,4,1,277,18,8,1755,15691,3,341,25,416,693,42573,71,17,401,94,31,17919,2,29546,7873,18,1,435,23,11011,755,5,5167,3,7983,98,84,2,29546,3267,8,3609,4,1,4865,1075,2,6087,71,6,346,8,5854,3,29546,824,1400,1868,2,19,160,2,311,8,5496,2,20920,17,25,15097,3,24,24,0]]	,					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						:Union[str, Any]						  =     [33,1297,2,1,1009,4,1109,11739,4762,358,5,25,245,22,1706,17,20098,5,3215,21,37,1110,3,13,1041,4,24,603,490,2,71477,20098,104447,2,20961,1,2604,4,1,329,3,6224,831,16002,2,8,603,78967,29546,23,803,20,25,416,5,8,232,4,277,6,1855,4601,3,29546,54,8,3609,5,57211,49,4,1,277,18,8,1755,15691,3,341,25,416,693,42573,71,17,401,94,31,17919,2,29546,7873,18,1,435,23,11011,755,5,5167,3,7983,98,84,2,29546,3267,8,3609,4,1,4865,1075,2,6087,71,6,346,8,5854,3,29546,824,1400,1868,2,19,160,2,311,8,5496,2,20920,17,25,15097,3,24,24,0,33,1,1857,2,1,1009,4,1109,11739,4762,358,5,25,245,28,1110,3,13,1041,4,24,603,490,2,71477,20098,104447,2,20961,1,2604,4,1,329,3,0]  # 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						:Dict						  =     model.generate(lowercase_	,					max_length=200	,					do_sample=lowercase_		)
										self.assertListEqual(output_ids[0].numpy().tolist()	,					lowercase_		)




import os
from math import logaa





def  _lowerCamelCase					(   a_				: str = "base_exp.txt"):
			lowerCamelCase						:float						  =     0
			lowerCamelCase						:Optional[int]						  =     0
			for i, line in enumerate(open(os.path.join(os.path.dirname(a_)						,			a_))):
						lowerCamelCase  ,    lowerCamelCase						:Optional[int]						  =     list(map(a_						,			line.split(''',''')))
						if x * logaa(a_) > largest:
									lowerCamelCase						:List[Any]						  =     x * logaa(a_)
									lowerCamelCase						:Any						  =     i + 1
			return result


if __name__ == "__main__":
			print(solution())



