

import os
import sys
import unittest


a__				=		os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, '''utils'''))

import get_test_info  # noqa: E402
from get_test_info import (  # noqa: E402
    get_model_to_test_mapping,
    get_model_to_tester_mapping,
    get_test_to_tester_mapping,
)


a__				=		os.path.join('''tests''', '''models''', '''bert''', '''test_modeling_bert.py''')
a__				=		os.path.join('''tests''', '''models''', '''blip''', '''test_modeling_blip.py''')

class 				UpperCAmelCase_		(			unittest.TestCase   ):
							"""simple docstring"""







							def 				__lowercase				(			self       )    ->    str:
												_a	:    int         =		get_test_to_tester_mapping(lowerCamelCase__       )
												_a	:    Any         =		get_test_to_tester_mapping(lowerCamelCase__       )

												_a	:    Optional[int]         =		{'''BertModelTest''': '''BertModelTester'''}

												_a	:    Dict         =		{
												    '''BlipModelTest''': '''BlipModelTester''',
												    '''BlipTextImageModelTest''': '''BlipTextImageModelsModelTester''',
												    '''BlipTextModelTest''': '''BlipTextModelTester''',
												    '''BlipTextRetrievalModelTest''': '''BlipTextRetrievalModelTester''',
												    '''BlipVQAModelTest''': '''BlipVQAModelTester''',
												    '''BlipVisionModelTest''': '''BlipVisionModelTester''',
												}

												self.assertEqual(get_test_info.to_json(lowerCamelCase__       )       ,							lowerCamelCase__       )
												self.assertEqual(get_test_info.to_json(lowerCamelCase__       )       ,							lowerCamelCase__       )


							def 				__lowercase				(			self       )    ->    List[str]:
												_a	:    List[Any]         =		get_model_to_test_mapping(lowerCamelCase__       )
												_a	:    Any         =		get_model_to_test_mapping(lowerCamelCase__       )

												_a	:    List[str]         =		{
												    '''BertForMaskedLM''': ['''BertModelTest'''],
												    '''BertForMultipleChoice''': ['''BertModelTest'''],
												    '''BertForNextSentencePrediction''': ['''BertModelTest'''],
												    '''BertForPreTraining''': ['''BertModelTest'''],
												    '''BertForQuestionAnswering''': ['''BertModelTest'''],
												    '''BertForSequenceClassification''': ['''BertModelTest'''],
												    '''BertForTokenClassification''': ['''BertModelTest'''],
												    '''BertLMHeadModel''': ['''BertModelTest'''],
												    '''BertModel''': ['''BertModelTest'''],
												}

												_a	:    List[Any]         =		{
												    '''BlipForConditionalGeneration''': ['''BlipTextImageModelTest'''],
												    '''BlipForImageTextRetrieval''': ['''BlipTextRetrievalModelTest'''],
												    '''BlipForQuestionAnswering''': ['''BlipVQAModelTest'''],
												    '''BlipModel''': ['''BlipModelTest'''],
												    '''BlipTextModel''': ['''BlipTextModelTest'''],
												    '''BlipVisionModel''': ['''BlipVisionModelTest'''],
												}

												self.assertEqual(get_test_info.to_json(lowerCamelCase__       )       ,							lowerCamelCase__       )
												self.assertEqual(get_test_info.to_json(lowerCamelCase__       )       ,							lowerCamelCase__       )




							def 				__lowercase				(			self       )    ->    Optional[Any]:
												_a	:    Any         =		get_model_to_tester_mapping(lowerCamelCase__       )
												_a	:    Any         =		get_model_to_tester_mapping(lowerCamelCase__       )

												_a	:    Optional[Any]         =		{
												    '''BertForMaskedLM''': ['''BertModelTester'''],
												    '''BertForMultipleChoice''': ['''BertModelTester'''],
												    '''BertForNextSentencePrediction''': ['''BertModelTester'''],
												    '''BertForPreTraining''': ['''BertModelTester'''],
												    '''BertForQuestionAnswering''': ['''BertModelTester'''],
												    '''BertForSequenceClassification''': ['''BertModelTester'''],
												    '''BertForTokenClassification''': ['''BertModelTester'''],
												    '''BertLMHeadModel''': ['''BertModelTester'''],
												    '''BertModel''': ['''BertModelTester'''],
												}

												_a	:    str         =		{
												    '''BlipForConditionalGeneration''': ['''BlipTextImageModelsModelTester'''],
												    '''BlipForImageTextRetrieval''': ['''BlipTextRetrievalModelTester'''],
												    '''BlipForQuestionAnswering''': ['''BlipVQAModelTester'''],
												    '''BlipModel''': ['''BlipModelTester'''],
												    '''BlipTextModel''': ['''BlipTextModelTester'''],
												    '''BlipVisionModel''': ['''BlipVisionModelTester'''],
												}

												self.assertEqual(get_test_info.to_json(lowerCamelCase__       )       ,							lowerCamelCase__       )
												self.assertEqual(get_test_info.to_json(lowerCamelCase__       )       ,							lowerCamelCase__       )




"""simple docstring"""






import argparse
import logging
import sys
from unittest.mock import patch

import run_glue_deebert

from transformers.testing_utils import TestCasePlus, get_gpu_count, require_torch_non_multi_gpu, slow


logging.basicConfig(level=logging.DEBUG)

lowerCAmelCase__  :  Optional[Any]						     =	logging.getLogger()



def   a_						(					):
				UpperCAmelCase__             =							argparse.ArgumentParser()
				parser.add_argument('-f'       )
				UpperCAmelCase__             =							parser.parse_args()
				return args.f







class 				snake_case       ( __UpperCAmelCase				):




					"""simple docstring"""

					def 		__lowerCAmelCase						(				self   :	int			):
									UpperCAmelCase__             =							logging.StreamHandler(sys.stdout			)
									logger.addHandler(lowerCamelCase__			)







					def 		__lowerCAmelCase						(				self   :	Optional[Any]    ,lowerCamelCase__   :	Union[str, Any]			):
									UpperCAmelCase__             =							get_gpu_count()

									if n_gpu > 1:
													pass
													# XXX: doesn't quite work with n_gpu > 1 https://github.com/huggingface/transformers/issues/10560
													# script = f"{self.examples_dir_str}/research_projects/deebert/run_glue_deebert.py"
													# distributed_args = f"-m torch.distributed.launch --nproc_per_node={n_gpu} {script}".split()
													# cmd = [sys.executable] + distributed_args + args
													# execute_subprocess_async(cmd, env=self.get_env())
													# XXX: test the results - need to save them first into .json file
									else:
													args.insert(0    ,'run_glue_deebert.py'			)
													with patch.object(lowerCamelCase__    ,'argv'    ,lowerCamelCase__			):
																	UpperCAmelCase__             =							run_glue_deebert.main()
																	for value in result.values():
																					self.assertGreaterEqual(lowerCamelCase__    ,0.6_6_6			)







					@slow
					@require_torch_non_multi_gpu
					def 		__lowerCAmelCase						(				self   :	List[str]			):
									UpperCAmelCase__             =							'\n            --model_type roberta\n            --model_name_or_path roberta-base\n            --task_name MRPC\n            --do_train\n            --do_eval\n            --do_lower_case\n            --data_dir ./tests/fixtures/tests_samples/MRPC/\n            --max_seq_length 128\n            --per_gpu_eval_batch_size=1\n            --per_gpu_train_batch_size=8\n            --learning_rate 2e-4\n            --num_train_epochs 3\n            --overwrite_output_dir\n            --seed 42\n            --output_dir ./examples/deebert/saved_models/roberta-base/MRPC/two_stage\n            --plot_data_dir ./examples/deebert/results/\n            --save_steps 0\n            --overwrite_cache\n            --eval_after_first_stage\n            '.split()
									self.run_and_check(lowerCamelCase__			)

									UpperCAmelCase__             =							'\n            --model_type roberta\n            --model_name_or_path ./examples/deebert/saved_models/roberta-base/MRPC/two_stage\n            --task_name MRPC\n            --do_eval\n            --do_lower_case\n            --data_dir ./tests/fixtures/tests_samples/MRPC/\n            --output_dir ./examples/deebert/saved_models/roberta-base/MRPC/two_stage\n            --plot_data_dir ./examples/deebert/results/\n            --max_seq_length 128\n            --eval_each_highway\n            --eval_highway\n            --overwrite_cache\n            --per_gpu_eval_batch_size=1\n            '.split()
									self.run_and_check(lowerCamelCase__			)

									UpperCAmelCase__             =							'\n            --model_type roberta\n            --model_name_or_path ./examples/deebert/saved_models/roberta-base/MRPC/two_stage\n            --task_name MRPC\n            --do_eval\n            --do_lower_case\n            --data_dir ./tests/fixtures/tests_samples/MRPC/\n            --output_dir ./examples/deebert/saved_models/roberta-base/MRPC/two_stage\n            --plot_data_dir ./examples/deebert/results/\n            --max_seq_length 128\n            --early_exit_entropy 0.1\n            --eval_highway\n            --overwrite_cache\n            --per_gpu_eval_batch_size=1\n            '.split()
									self.run_and_check(lowerCamelCase__			)



