




import os
from argparse import ArgumentParser
from pathlib import Path
from shutil import copyfile, rmtree
from typing import Generator

import datasets.config
from datasets.builder import DatasetBuilder
from datasets.commands import BaseDatasetsCLICommand
from datasets.download.download_manager import DownloadMode
from datasets.load import dataset_module_factory, import_main_class
from datasets.utils.filelock import logger as fl_logger
from datasets.utils.info_utils import VerificationMode
from datasets.utils.logging import ERROR, get_logger


UpperCamelCase__            =     get_logger(__name__)







def       _a (		SCREAMING_SNAKE_CASE_				:							Optional[int]	):
					return TestCommand(
					    args.dataset , args.name , args.cache_dir , args.data_dir , args.all_configs , args.save_info or args.save_infos , args.ignore_verifications , args.force_redownload , args.clear_cache , )


class      a__       (   snake_case__ ):
						_a				:       Optional[int]   =       False  # to tell pytest it's not a test class






						@staticmethod
						def 							__SCREAMING_SNAKE_CASE(  _A     ):




											"""simple docstring"""



											__lowerCAmelCase							  =			parser.add_parser("test"						,     help="Test dataset implementation."     )
											test_parser.add_argument("--name"						,     type=__snake_case						,     default=__snake_case						,     help="Dataset processing name"     )
											test_parser.add_argument(
											    "--cache_dir"						,     type=__snake_case						,     default=__snake_case						,     help="Cache directory where the datasets are stored."						,     )
											test_parser.add_argument(
											    "--data_dir"						,     type=__snake_case						,     default=__snake_case						,     help="Can be used to specify a manual directory to get the files from."						,     )
											test_parser.add_argument("--all_configs"						,     action="store_true"						,     help="Test all dataset configurations"     )
											test_parser.add_argument(
											    "--save_info"						,     action="store_true"						,     help="Save the dataset infos in the dataset card (README.md)"     )
											test_parser.add_argument(
											    "--ignore_verifications"						,     action="store_true"						,     help="Run the test without checksums and splits checks."						,     )
											test_parser.add_argument("--force_redownload"						,     action="store_true"						,     help="Force dataset redownload"     )
											test_parser.add_argument(
											    "--clear_cache"						,     action="store_true"						,     help="Remove downloaded files and cached datasets after each config test"						,     )
											# aliases
											test_parser.add_argument("--save_infos"						,     action="store_true"						,     help="alias to save_info"     )
											test_parser.add_argument("dataset"						,     type=__snake_case						,     help="Name of the dataset to download"     )
											test_parser.set_defaults(func=_test_command_factory     )






						def __init__(  self						,     _A						,     _A						,     _A						,     _A						,     _A						,     _A						,     _A						,     _A						,     _A						,     ):




											"""simple docstring"""



											__lowerCAmelCase							  =			dataset
											__lowerCAmelCase							  =			name
											__lowerCAmelCase							  =			cache_dir
											__lowerCAmelCase							  =			data_dir
											__lowerCAmelCase							  =			all_configs
											__lowerCAmelCase							  =			save_infos
											__lowerCAmelCase							  =			ignore_verifications
											__lowerCAmelCase							  =			force_redownload
											__lowerCAmelCase							  =			clear_cache
											if clear_cache and not cache_dir:
																print(
																    "When --clear_cache is used, specifying a cache directory is mandatory.\n"
																    "The \'download\' folder of the cache directory and the dataset builder cache will be deleted after each configuration test.\n"
																    "Please provide a --cache_dir that will be used to test the dataset script."     )
																exit(1     )
											if save_infos:
																__lowerCAmelCase							  =			True






						def 							__SCREAMING_SNAKE_CASE(  self     ):




											"""simple docstring"""



											fl_logger().setLevel(__snake_case     )
											if self._name is not None and self._all_configs:
																print("Both parameters `config` and `all_configs` can\'t be used at once."     )
																exit(1     )
											__lowerCAmelCase							  =			self._dataset, self._name
											__lowerCAmelCase							  =			dataset_module_factory(__snake_case     )
											__lowerCAmelCase							  =			import_main_class(module.module_path     )
											__lowerCAmelCase							  =			len(builder_cls.BUILDER_CONFIGS     ) if self._all_configs and builder_cls.BUILDER_CONFIGS else 1

											def get_builders() -> Generator[DatasetBuilder, None, None]:
																if self._all_configs and builder_cls.BUILDER_CONFIGS:
																					for i, config in enumerate(builder_cls.BUILDER_CONFIGS     ):
																										if "config_name" in module.builder_kwargs:
																															yield builder_cls(
																															    cache_dir=self._cache_dir						,     data_dir=self._data_dir						,     **module.builder_kwargs						,     )
																										else:
																															yield builder_cls(
																															    config_name=config.name						,     cache_dir=self._cache_dir						,     data_dir=self._data_dir						,     **module.builder_kwargs						,     )
																else:
																					if "config_name" in module.builder_kwargs:
																										yield builder_cls(cache_dir=self._cache_dir						,     data_dir=self._data_dir						,     **module.builder_kwargs     )
																					else:
																										yield builder_cls(
																										    config_name=__snake_case						,     cache_dir=self._cache_dir						,     data_dir=self._data_dir						,     **module.builder_kwargs						,     )

											for j, builder in enumerate(get_builders()     ):
																print(f"""Testing builder \'{builder.config.name}\' ({j + 1}/{n_builders})"""     )
																__lowerCAmelCase							  =			os.path.exists(
																    os.path.join(builder.get_imported_module_dir()						,     datasets.config.DATASETDICT_INFOS_FILENAME     )     )  # record checksums only if we need to update a (deprecated) dataset_infos.json
																builder.download_and_prepare(
																    download_mode=DownloadMode.REUSE_CACHE_IF_EXISTS
																    if not self._force_redownload
																    else DownloadMode.FORCE_REDOWNLOAD						,     verification_mode=VerificationMode.NO_CHECKS
																    if self._ignore_verifications
																    else VerificationMode.ALL_CHECKS						,     try_from_hf_gcs=__snake_case						,     )
																builder.as_dataset()
																if self._save_infos:
																					builder._save_infos()

																# If save_infos=True, the dataset card (README.md) is created next to the loaded module file.
																# The dataset_infos are saved in the YAML part of the README.md

																# Let's move it to the original directory of the dataset script, to allow the user to
																# upload them on S3 at the same time afterwards.
																if self._save_infos:
																					__lowerCAmelCase							  =			os.path.join(builder_cls.get_imported_module_dir()						,     "README.md"     )
																					__lowerCAmelCase							  =			Path(__snake_case     ).name + '''.py'''
																					__lowerCAmelCase							  =			os.path.join(__snake_case						,     __snake_case     )
																					if os.path.isfile(__snake_case     ):
																										__lowerCAmelCase							  =			os.path.dirname(__snake_case     )
																					elif os.path.isfile(__snake_case     ):
																										__lowerCAmelCase							  =			path
																					elif os.path.isdir(__snake_case     ):  # for local directories containing only data files
																										__lowerCAmelCase							  =			path
																					else:  # in case of a remote dataset
																										__lowerCAmelCase							  =			None
																										print(f"""Dataset card saved at {dataset_readme_path}"""     )

																					# Move dataset_info back to the user
																					if dataset_dir is not None:
																										__lowerCAmelCase							  =			os.path.join(__snake_case						,     "README.md"     )
																										copyfile(__snake_case						,     __snake_case     )
																										print(f"""Dataset card saved at {user_dataset_readme_path}"""     )

            # If clear_cache=True, the download folder and the dataset builder cache directory are deleted
																if self._clear_cache:
																					if os.path.isdir(builder._cache_dir     ):
																										logger.warning(f"""Clearing cache at {builder._cache_dir}"""     )
																										rmtree(builder._cache_dir     )
																					__lowerCAmelCase							  =			os.path.join(self._cache_dir						,     datasets.config.DOWNLOADED_DATASETS_DIR     )
																					if os.path.isdir(__snake_case     ):
																										logger.warning(f"""Clearing cache at {download_dir}"""     )
																										rmtree(__snake_case     )

											print("Test successful."     )








import unittest

import numpy as np

from transformers import is_tf_available
from transformers.testing_utils import require_tf


if is_tf_available():
       import tensorflow as tf

       from transformers.activations_tf import get_tf_activation





@require_tf
class 			lowerCAmelCase__(     unittest.TestCase    ):






    '''simple docstring'''





    def        _lowerCamelCase			(						self					: Optional[int]						):





       '''simple docstring'''
       UpperCAmelCase_				:   str							= tf.constant([-100, -1.0, -0.1, 0, 0.1, 1.0, 100.0]						)
       UpperCAmelCase_				:   List[Any]							= get_tf_activation('''gelu'''						)
       UpperCAmelCase_				:   Any							= get_tf_activation('''gelu_10'''						)

       UpperCAmelCase_				:   int							= gelu(__snake_case						)
       UpperCAmelCase_				:   Union[str, Any]							= geluaa(__snake_case						)

       UpperCAmelCase_				:   Union[str, Any]							= tf.where(y_gelu_aa < 10.0							, 1.0							, 0.0						)

       self.assertEqual(tf.math.reduce_max(__snake_case						).numpy().item()							, 10.0						)
       self.assertTrue(np.allclose(y_gelu * clipped_mask							, y_gelu_aa * clipped_mask						)						)





    def        _lowerCamelCase			(						self					: Dict						):





       '''simple docstring'''
       get_tf_activation('''gelu'''						)
       get_tf_activation('''gelu_10'''						)
       get_tf_activation('''gelu_fast'''						)
       get_tf_activation('''gelu_new'''						)
       get_tf_activation('''glu'''						)
       get_tf_activation('''mish'''						)
       get_tf_activation('''quick_gelu'''						)
       get_tf_activation('''relu'''						)
       get_tf_activation('''sigmoid'''						)
       get_tf_activation('''silu'''						)
       get_tf_activation('''swish'''						)
       get_tf_activation('''tanh'''						)
       with self.assertRaises(__snake_case						):
          get_tf_activation('''bogus'''						)
       with self.assertRaises(__snake_case						):
          get_tf_activation(__snake_case						)