



import importlib
import json
import os
import sys
import tempfile
import unittest
from pathlib import Path

import transformers
import transformers.models.auto
from transformers.models.auto.configuration_auto import CONFIG_MAPPING, AutoConfig
from transformers.models.bert.configuration_bert import BertConfig
from transformers.models.roberta.configuration_roberta import RobertaConfig
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, get_tests_dir


sys.path.append(str(Path(__file__).parent.parent.parent.parent / '''utils'''))

from test_module.custom_configuration import CustomConfig  # noqa E402


lowercase_													=      get_tests_dir('''fixtures/dummy-config.json''')






class     __a			(  unittest.TestCase					):



	def 		UpperCamelCase				(    self				:     List[Any])->				Optional[int]:
						__lowerCAmelCase						 =0



	def 		UpperCamelCase				(    self				:     Dict)->				str:
						self.assertIsNotNone(transformers.models.auto.__spec__)
						self.assertIsNotNone(importlib.util.find_spec("""transformers.models.auto"""))



	def 		UpperCamelCase				(    self				:     int)->				Tuple:
						__lowerCAmelCase						 =AutoConfig.from_pretrained("""bert-base-uncased""")
						self.assertIsInstance(snake_case_					,						snake_case_)



	def 		UpperCamelCase				(    self				:     Dict)->				List[Any]:
						__lowerCAmelCase						 =AutoConfig.from_pretrained(snake_case_)
						self.assertIsInstance(snake_case_					,						snake_case_)



	def 		UpperCamelCase				(    self				:     str)->				List[str]:
						__lowerCAmelCase						 =AutoConfig.from_pretrained(snake_case_)
						self.assertIsInstance(snake_case_					,						snake_case_)



	def 		UpperCamelCase				(    self				:     Optional[int])->				Any:
						__lowerCAmelCase						 =AutoConfig.for_model("""roberta""")
						self.assertIsInstance(snake_case_					,						snake_case_)



	def 		UpperCamelCase				(    self				:     Optional[int])->				Dict:
						with tempfile.TemporaryDirectory() as tmp_dir:
											# This model name contains bert and roberta, but roberta ends up being picked.
											__lowerCAmelCase						 =os.path.join(snake_case_					,						"""fake-roberta""")
											os.makedirs(snake_case_					,						exist_ok=snake_case_)
											with open(os.path.join(snake_case_					,						"""config.json""")					,						"""w""") as f:
																f.write(json.dumps({}))
											__lowerCAmelCase						 =AutoConfig.from_pretrained(snake_case_)
											self.assertEqual(type(snake_case_)					,						snake_case_)



	def 		UpperCamelCase				(    self				:     str)->				List[Any]:
						try:
											AutoConfig.register("""custom"""					,						snake_case_)
											# Wrong model type will raise an error
											with self.assertRaises(snake_case_):
																AutoConfig.register("""model"""					,						snake_case_)
											# Trying to register something existing in the Transformers library will raise an error
											with self.assertRaises(snake_case_):
																AutoConfig.register("""bert"""					,						snake_case_)

											# Now that the config is registered, it can be used as any other config with the auto-API
											__lowerCAmelCase						 =CustomConfig()
											with tempfile.TemporaryDirectory() as tmp_dir:
																config.save_pretrained(snake_case_)
																__lowerCAmelCase						 =AutoConfig.from_pretrained(snake_case_)
																self.assertIsInstance(snake_case_					,						snake_case_)

						finally:
											if "custom" in CONFIG_MAPPING._extra_content:
																del CONFIG_MAPPING._extra_content["custom"]



	def 		UpperCamelCase				(    self				:     Tuple)->				str:
						with self.assertRaisesRegex(
						    snake_case_					,						"""bert-base is not a local folder and is not a valid model identifier"""):
											__lowerCAmelCase						 =AutoConfig.from_pretrained("""bert-base""")



	def 		UpperCamelCase				(    self				:     Optional[Any])->				Any:
						with self.assertRaisesRegex(
						    snake_case_					,						R"""aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)"""):
											__lowerCAmelCase						 =AutoConfig.from_pretrained(snake_case_					,						revision="""aaaaaa""")



	def 		UpperCamelCase				(    self				:     int)->				Any:
						with self.assertRaisesRegex(
						    snake_case_					,						"""hf-internal-testing/no-config-test-repo does not appear to have a file named config.json."""					,						):
											__lowerCAmelCase						 =AutoConfig.from_pretrained("""hf-internal-testing/no-config-test-repo""")



	def 		UpperCamelCase				(    self				:     Union[str, Any])->				Dict:
						# If remote code is not set, we will time out when asking whether to load the model.
						with self.assertRaises(snake_case_):
											__lowerCAmelCase						 =AutoConfig.from_pretrained("""hf-internal-testing/test_dynamic_model""")
						# If remote code is disabled, we can't load this config.
						with self.assertRaises(snake_case_):
											__lowerCAmelCase						 =AutoConfig.from_pretrained("""hf-internal-testing/test_dynamic_model"""					,						trust_remote_code=snake_case_)

						__lowerCAmelCase						 =AutoConfig.from_pretrained("""hf-internal-testing/test_dynamic_model"""					,						trust_remote_code=snake_case_)
						self.assertEqual(config.__class__.__name__					,						"""NewModelConfig""")

						# Test config can be reloaded.
						with tempfile.TemporaryDirectory() as tmp_dir:
											config.save_pretrained(snake_case_)
											__lowerCAmelCase						 =AutoConfig.from_pretrained(snake_case_					,						trust_remote_code=snake_case_)
						self.assertEqual(reloaded_config.__class__.__name__					,						"""NewModelConfig""")



	def 		UpperCamelCase				(    self				:     Tuple)->				Optional[Any]:






						class     __a			(  SCREAMING_SNAKE_CASE					):
							SCREAMING_SNAKE_CASE  	=							"new-model"

						try:
											AutoConfig.register("""new-model"""					,						snake_case_)
											# If remote code is not set, the default is to use local
											__lowerCAmelCase						 =AutoConfig.from_pretrained("""hf-internal-testing/test_dynamic_model""")
											self.assertEqual(config.__class__.__name__					,						"""NewModelConfigLocal""")

											# If remote code is disabled, we load the local one.
											__lowerCAmelCase						 =AutoConfig.from_pretrained("""hf-internal-testing/test_dynamic_model"""					,						trust_remote_code=snake_case_)
											self.assertEqual(config.__class__.__name__					,						"""NewModelConfigLocal""")

											# If remote is enabled, we load from the Hub
											__lowerCAmelCase						 =AutoConfig.from_pretrained("""hf-internal-testing/test_dynamic_model"""					,						trust_remote_code=snake_case_)
											self.assertEqual(config.__class__.__name__					,						"""NewModelConfig""")

						finally:
											if "new-model" in CONFIG_MAPPING._extra_content:
																del CONFIG_MAPPING._extra_content["new-model"]









import pytest


lowercase_													=      '''__dummy_dataset1__'''

lowercase_													=      '''
import json
import os

import datasets


REPO_URL = "https://huggingface.co/datasets/albertvillanova/tests-raw-jsonl/resolve/main/"
URLS = {"train": REPO_URL + "wikiann-bn-train.jsonl", "validation": REPO_URL + "wikiann-bn-validation.jsonl"}


class __DummyDataset1__(datasets.GeneratorBasedBuilder):

    def _info(self):
        features = datasets.Features(
            {
                "tokens": datasets.Sequence(datasets.Value("string")),
                "ner_tags": datasets.Sequence(
                    datasets.features.ClassLabel(
                        names=[
                            "O",
                            "B-PER",
                            "I-PER",
                            "B-ORG",
                            "I-ORG",
                            "B-LOC",
                            "I-LOC",
                        ]
                    )
                ),
                "langs": datasets.Sequence(datasets.Value("string")),
                "spans": datasets.Sequence(datasets.Value("string")),
            }
        )
        return datasets.DatasetInfo(features=features)

    def _split_generators(self, dl_manager):
        dl_path = dl_manager.download(URLS)
        return [
            datasets.SplitGenerator(datasets.Split.TRAIN, gen_kwargs={"filepath": dl_path["train"]}),
            datasets.SplitGenerator(datasets.Split.VALIDATION, gen_kwargs={"filepath": dl_path["validation"]}),
        ]

    def _generate_examples(self, filepath):
        with open(filepath, "r", encoding="utf-8") as f:
            for i, line in enumerate(f):
                yield i, json.loads(line)
'''






@pytest.fixture
def        __lowerCAmelCase		(	)	->    Any:
					return DATASET_LOADING_SCRIPT_NAME






@pytest.fixture
def        __lowerCAmelCase		(	)	->    Union[str, Any]:
					return DATASET_LOADING_SCRIPT_CODE






@pytest.fixture
def        __lowerCAmelCase		(	__lowerCamelCase						:     Optional[Any]					, __lowerCamelCase						:     Tuple					, __lowerCamelCase						:     str						)	->    List[str]:
					__lowerCAmelCase						 =dataset_loading_script_name
					__lowerCAmelCase						 =tmp_path / """datasets""" / script_name
					script_dir.mkdir(parents=__lowerCamelCase						)
					__lowerCAmelCase						 =script_dir / f"""{script_name}.py"""
					with open(__lowerCamelCase					, """w"""						) as f:
										f.write(__lowerCamelCase						)
					return str(__lowerCamelCase						)




