


"""simple docstring"""




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


_snake_case					:		Dict      =    get_tests_dir("fixtures/dummy-config.json")

class     a		(unittest.TestCase				):




							"""simple docstring"""


							def    __snake_case (							self	:  str    )     ->   int:
														__snake_case		:      str										=       0

							def    __snake_case (							self	:  Tuple    )     ->   Any:
														self.assertIsNotNone(transformers.models.auto.__spec__    )
														self.assertIsNotNone(importlib.util.find_spec("transformers.models.auto"    )    )

							def    __snake_case (							self	:  Tuple    )     ->   Any:
														__snake_case		:      List[str]										=       AutoConfig.from_pretrained("bert-base-uncased"    )
														self.assertIsInstance(UpperCAmelCase_   ,     UpperCAmelCase_    )

							def    __snake_case (							self	:  Optional[Any]    )     ->   Union[str, Any]:
														__snake_case		:      Tuple										=       AutoConfig.from_pretrained(UpperCAmelCase_    )
														self.assertIsInstance(UpperCAmelCase_   ,     UpperCAmelCase_    )

							def    __snake_case (							self	:  Any    )     ->   Dict:
														__snake_case		:      Any										=       AutoConfig.from_pretrained(UpperCAmelCase_    )
														self.assertIsInstance(UpperCAmelCase_   ,     UpperCAmelCase_    )

							def    __snake_case (							self	:  Optional[Any]    )     ->   int:
														__snake_case		:      Union[str, Any]										=       AutoConfig.for_model("roberta"    )
														self.assertIsInstance(UpperCAmelCase_   ,     UpperCAmelCase_    )

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

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

																					# Now that the config is registered, it can be used as any other config with the auto-API
																					__snake_case		:      List[str]										=       CustomConfig()
																					with tempfile.TemporaryDirectory() as tmp_dir:
																												config.save_pretrained(UpperCAmelCase_    )
																												__snake_case		:      Dict										=       AutoConfig.from_pretrained(UpperCAmelCase_    )
																												self.assertIsInstance(UpperCAmelCase_   ,     UpperCAmelCase_    )

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

							def    __snake_case (							self	:  Union[str, Any]    )     ->   List[Any]:
														with self.assertRaisesRegex(
														    UpperCAmelCase_   ,     "bert-base is not a local folder and is not a valid model identifier"    ):
																					__snake_case		:      Union[str, Any]										=       AutoConfig.from_pretrained("bert-base"    )

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

							def    __snake_case (							self	:  List[str]    )     ->   Any:
														with self.assertRaisesRegex(
														    UpperCAmelCase_   ,     "hf-internal-testing/no-config-test-repo does not appear to have a file named config.json."   ,     ):
																					__snake_case		:      Tuple										=       AutoConfig.from_pretrained("hf-internal-testing/no-config-test-repo"    )

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

														__snake_case		:      Optional[Any]										=       AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model"   ,     trust_remote_code=UpperCAmelCase_    )
														self.assertEqual(config.__class__.__name__   ,     "NewModelConfig"    )

														# Test config can be reloaded.
														with tempfile.TemporaryDirectory() as tmp_dir:
																					config.save_pretrained(UpperCAmelCase_    )
																					__snake_case		:      Union[str, Any]										=       AutoConfig.from_pretrained(UpperCAmelCase_   ,     trust_remote_code=UpperCAmelCase_    )
														self.assertEqual(reloaded_config.__class__.__name__   ,     "NewModelConfig"    )






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

														class     a		(snake_case__				):




																					"""simple docstring"""


																					__UpperCAmelCase   :							Optional[Any]					  =  "new-model"

														try:
																					AutoConfig.register("new-model"   ,     UpperCAmelCase_    )
																					# If remote code is not set, the default is to use local
																					__snake_case		:      Union[str, Any]										=       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.
																					__snake_case		:      int										=       AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model"   ,     trust_remote_code=UpperCAmelCase_    )
																					self.assertEqual(config.__class__.__name__   ,     "NewModelConfigLocal"    )

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

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





import os
from collections import namedtuple

import pytest

from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict


_snake_case					:		List[str]      =    namedtuple(
    "_TestCommandArgs",
    [
        "dataset",
        "name",
        "cache_dir",
        "data_dir",
        "all_configs",
        "save_infos",
        "ignore_verifications",
        "force_redownload",
        "clear_cache",
    ],
    defaults=[None, None, None, False, False, False, False, False],
)







def     lowerCAmelCase_					( __lowerCamelCase							,     __lowerCamelCase     ):
							return (abs(source - target     ) / target) < 0.0_1







@pytest.mark.integration
def     lowerCAmelCase_					( __lowerCamelCase     ):
							__snake_case		:      Tuple										=       _TestCommandArgs(dataset=__lowerCamelCase							,     all_configs=__lowerCamelCase							,     save_infos=__lowerCamelCase     )
							__snake_case		:      List[Any]										=       TestCommand(*__lowerCamelCase     )
							test_command.run()
							__snake_case		:      List[Any]										=       os.path.join(__lowerCamelCase							,     "README.md"     )
							assert os.path.exists(__lowerCamelCase     )
							__snake_case		:      Optional[Any]										=       DatasetInfosDict.from_directory(__lowerCamelCase     )
							__snake_case		:      List[str]										=       DatasetInfosDict(
							    {
							        "default": DatasetInfo(
							            features=Features(
							                {
							                    "tokens": Sequence(Value("string"     )     ),
							                    "ner_tags": Sequence(
							                        ClassLabel(names=["O", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]     )     ),
							                    "langs": Sequence(Value("string"     )     ),
							                    "spans": Sequence(Value("string"     )     ),
							                }     )							,     splits=[
							                {
							                    "name": "train",
							                    "num_bytes": 2_3_5_1_5_6_3,
							                    "num_examples": 1_0_0_0_0,
							                },
							                {
							                    "name": "validation",
							                    "num_bytes": 2_3_8_4_1_8,
							                    "num_examples": 1_0_0_0,
							                },
							            ]							,     download_size=3_9_4_0_6_8_0							,     dataset_size=2_5_8_9_9_8_1							,     )
							    }     )
							assert dataset_infos.keys() == expected_dataset_infos.keys()
							for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
														__snake_case			,      __snake_case		:      Tuple										=       getattr(dataset_infos["default"]							,     __lowerCamelCase     ), getattr(expected_dataset_infos["default"]							,     __lowerCamelCase     )
														if key == "num_bytes":
																					assert is_apercent_close(__lowerCamelCase							,     __lowerCamelCase     )
														elif key == "splits":
																					assert list(__lowerCamelCase     ) == list(__lowerCamelCase     )
																					for split in result:
																												assert result[split].name == expected[split].name
																												assert result[split].num_examples == expected[split].num_examples
																												assert is_apercent_close(result[split].num_bytes							,     expected[split].num_bytes     )
														else:
																					result == expected

