


import os
import sys
import unittest


SCREAMING_SNAKE_CASE :   Dict							      =				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,
)


SCREAMING_SNAKE_CASE :   int							      =				os.path.join("tests", "models", "bert", "test_modeling_bert.py")
SCREAMING_SNAKE_CASE :   Optional[Any]							      =				os.path.join("tests", "models", "blip", "test_modeling_blip.py")






class _lowerCamelCase(		unittest.TestCase     ):
       def     UpperCamelCase  (      self) ->     Tuple:




           """simple docstring"""

           _lowercase :							List[str]   	=	get_test_to_tester_mapping(lowerCamelCase)
           _lowercase :							Dict   	=	get_test_to_tester_mapping(lowerCamelCase)

           _lowercase :							str   	=	{'BertModelTest': 'BertModelTester'}

           _lowercase :							List[str]   	=	{
               '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     UpperCamelCase  (      self) ->     Union[str, Any]:




           """simple docstring"""

           _lowercase :							Any   	=	get_model_to_test_mapping(lowerCamelCase)
           _lowercase :							str   	=	get_model_to_test_mapping(lowerCamelCase)

           _lowercase :							Optional[int]   	=	{
               'BertForMaskedLM': ['BertModelTest'],
               'BertForMultipleChoice': ['BertModelTest'],
               'BertForNextSentencePrediction': ['BertModelTest'],
               'BertForPreTraining': ['BertModelTest'],
               'BertForQuestionAnswering': ['BertModelTest'],
               'BertForSequenceClassification': ['BertModelTest'],
               'BertForTokenClassification': ['BertModelTest'],
               'BertLMHeadModel': ['BertModelTest'],
               'BertModel': ['BertModelTest'],
           }

           _lowercase :							List[str]   	=	{
               '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     UpperCamelCase  (      self) ->     str:




           """simple docstring"""

           _lowercase :							Union[str, Any]   	=	get_model_to_tester_mapping(lowerCamelCase)
           _lowercase :							Optional[int]   	=	get_model_to_tester_mapping(lowerCamelCase)

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

           _lowercase :							Optional[Any]   	=	{
               '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)






import pytest


SCREAMING_SNAKE_CASE :   Optional[Any]							      =				"__dummy_dataset1__"

SCREAMING_SNAKE_CASE :   int							      =				"\nimport json\nimport os\n\nimport datasets\n\n\nREPO_URL = \"https://huggingface.co/datasets/albertvillanova/tests-raw-jsonl/resolve/main/\"\nURLS = {\"train\": REPO_URL + \"wikiann-bn-train.jsonl\", \"validation\": REPO_URL + \"wikiann-bn-validation.jsonl\"}\n\n\nclass __DummyDataset1__(datasets.GeneratorBasedBuilder):\n\n    def _info(self):\n        features = datasets.Features(\n            {\n                \"tokens\": datasets.Sequence(datasets.Value(\"string\")),\n                \"ner_tags\": datasets.Sequence(\n                    datasets.features.ClassLabel(\n                        names=[\n                            \"O\",\n                            \"B-PER\",\n                            \"I-PER\",\n                            \"B-ORG\",\n                            \"I-ORG\",\n                            \"B-LOC\",\n                            \"I-LOC\",\n                        ]\n                    )\n                ),\n                \"langs\": datasets.Sequence(datasets.Value(\"string\")),\n                \"spans\": datasets.Sequence(datasets.Value(\"string\")),\n            }\n        )\n        return datasets.DatasetInfo(features=features)\n\n    def _split_generators(self, dl_manager):\n        dl_path = dl_manager.download(URLS)\n        return [\n            datasets.SplitGenerator(datasets.Split.TRAIN, gen_kwargs={\"filepath\": dl_path[\"train\"]}),\n            datasets.SplitGenerator(datasets.Split.VALIDATION, gen_kwargs={\"filepath\": dl_path[\"validation\"]}),\n        ]\n\n    def _generate_examples(self, filepath):\n        with open(filepath, \"r\", encoding=\"utf-8\") as f:\n            for i, line in enumerate(f):\n                yield i, json.loads(line)\n"



@pytest.fixture
def        UpperCamelCase_(   )					->		Dict:
    return DATASET_LOADING_SCRIPT_NAME



@pytest.fixture
def        UpperCamelCase_(   )					->		List[Any]:
    return DATASET_LOADING_SCRIPT_CODE



@pytest.fixture
def        UpperCamelCase_(   lowerCamelCase_							,				lowerCamelCase_							,				lowerCamelCase_				)					->		int:
    _lowercase :							List[str]   	=	dataset_loading_script_name
    _lowercase :							Union[str, Any]   	=	tmp_path / 'datasets' / script_name
    script_dir.mkdir(parents=lowerCamelCase_				)
    _lowercase :							Optional[int]   	=	script_dir / F'''{script_name}.py'''
    with open(lowerCamelCase_							,				'w'				) as f:
        f.write(lowerCamelCase_				)
    return str(lowerCamelCase_				)


