


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


SCREAMING_SNAKE_CASE : Dict          =    get_logger(__name__)





def 						_lowerCamelCase		(							SCREAMING_SNAKE_CASE_				: Any      ):






							"""simple docstring"""



							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 					snake_case__  ( __A       ):
	UpperCAmelCase   :							Tuple         = False  # to tell pytest it's not a test class





	@staticmethod
	def     A				(  UpperCamelCase_							)		->			Dict:
								"""simple docstring"""






								a_       :   Union[str, Any]			=	parser.add_parser("""test"""				,    help="""Test dataset implementation."""							)
								test_parser.add_argument("""--name"""				,    type=UpperCamelCase_				,    default=UpperCamelCase_				,    help="""Dataset processing name"""							)
								test_parser.add_argument(
								    """--cache_dir"""				,    type=UpperCamelCase_				,    default=UpperCamelCase_				,    help="""Cache directory where the datasets are stored."""				,    )
								test_parser.add_argument(
								    """--data_dir"""				,    type=UpperCamelCase_				,    default=UpperCamelCase_				,    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=UpperCamelCase_				,    help="""Name of the dataset to download"""							)
								test_parser.set_defaults(func=_test_command_factory							)





	def __init__(  self				,    UpperCamelCase_				,    UpperCamelCase_				,    UpperCamelCase_				,    UpperCamelCase_				,    UpperCamelCase_				,    UpperCamelCase_				,    UpperCamelCase_				,    UpperCamelCase_				,    UpperCamelCase_				,    )		->			Optional[int]:
								"""simple docstring"""






								a_       :   Tuple			=	dataset
								a_       :   List[str]			=	name
								a_       :   Optional[Any]			=	cache_dir
								a_       :   str			=	data_dir
								a_       :   Optional[Any]			=	all_configs
								a_       :   Optional[int]			=	save_infos
								a_       :   Optional[int]			=	ignore_verifications
								a_       :   Dict			=	force_redownload
								a_       :   Tuple			=	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:
															a_       :   int			=	True





	def     A				(  self							)		->			Dict:
								"""simple docstring"""






								fl_logger().setLevel(UpperCamelCase_							)
								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							)
								a_		,				a_       :   str			=	self._dataset, self._name
								a_       :   int			=	dataset_module_factory(UpperCamelCase_							)
								a_       :   Optional[int]			=	import_main_class(module.module_path							)
								a_       :   Any			=	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=UpperCamelCase_				,    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})"""							)
															a_       :   int			=	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=UpperCamelCase_				,    )
															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:
																						a_       :   Optional[Any]			=	os.path.join(builder_cls.get_imported_module_dir()				,    """README.md"""							)
																						a_       :   Tuple			=	Path(UpperCamelCase_							).name + """.py"""
																						a_       :   int			=	os.path.join(UpperCamelCase_				,    UpperCamelCase_							)
																						if os.path.isfile(UpperCamelCase_							):
																													a_       :   Optional[int]			=	os.path.dirname(UpperCamelCase_							)
																						elif os.path.isfile(UpperCamelCase_							):
																													a_       :   str			=	path
																						elif os.path.isdir(UpperCamelCase_							):  # for local directories containing only data files
																													a_       :   Tuple			=	path
																						else:  # in case of a remote dataset
																													a_       :   Optional[int]			=	None
																													print(f"""Dataset card saved at {dataset_readme_path}"""							)

																						# Move dataset_info back to the user
																						if dataset_dir is not None:
																													a_       :   Optional[Any]			=	os.path.join(UpperCamelCase_				,    """README.md"""							)
																													copyfile(UpperCamelCase_				,    UpperCamelCase_							)
																													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							)
																						a_       :   Tuple			=	os.path.join(self._cache_dir				,    datasets.config.DOWNLOADED_DATASETS_DIR							)
																						if os.path.isdir(UpperCamelCase_							):
																													logger.warning(f"""Clearing cache at {download_dir}"""							)
																													rmtree(UpperCamelCase_							)

								print("""Test successful."""							)






from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


SCREAMING_SNAKE_CASE : Dict          =    logging.get_logger(__name__)

SCREAMING_SNAKE_CASE : str          =    {
    "apple/mobilevit-small": "https://huggingface.co/apple/mobilevit-small/resolve/main/config.json",
    "apple/mobilevit-x-small": "https://huggingface.co/apple/mobilevit-x-small/resolve/main/config.json",
    "apple/mobilevit-xx-small": "https://huggingface.co/apple/mobilevit-xx-small/resolve/main/config.json",
    "apple/deeplabv3-mobilevit-small": (
        "https://huggingface.co/apple/deeplabv3-mobilevit-small/resolve/main/config.json"
    ),
    "apple/deeplabv3-mobilevit-x-small": (
        "https://huggingface.co/apple/deeplabv3-mobilevit-x-small/resolve/main/config.json"
    ),
    "apple/deeplabv3-mobilevit-xx-small": (
        "https://huggingface.co/apple/deeplabv3-mobilevit-xx-small/resolve/main/config.json"
    ),
    # See all MobileViT models at https://huggingface.co/models?filter=mobilevit
}





class 					snake_case__  ( __A       ):
	UpperCAmelCase   :							List[str]         = """mobilevit"""





	def __init__(  self				,    UpperCamelCase_=3				,    UpperCamelCase_=256				,    UpperCamelCase_=2				,    UpperCamelCase_=[144, 192, 240]				,    UpperCamelCase_=[16, 32, 64, 96, 128, 160, 640]				,    UpperCamelCase_=4				,    UpperCamelCase_=2.0				,    UpperCamelCase_=4.0				,    UpperCamelCase_="silu"				,    UpperCamelCase_=3				,    UpperCamelCase_=32				,    UpperCamelCase_=0.1				,    UpperCamelCase_=0.0				,    UpperCamelCase_=0.1				,    UpperCamelCase_=0.02				,    UpperCamelCase_=1e-5				,    UpperCamelCase_=True				,    UpperCamelCase_=256				,    UpperCamelCase_=[6, 12, 18]				,    UpperCamelCase_=0.1				,    UpperCamelCase_=255				,    **UpperCamelCase_				,    )		->			str:
								"""simple docstring"""






								super().__init__(**UpperCamelCase_							)

								a_       :   Optional[int]			=	num_channels
								a_       :   Optional[Any]			=	image_size
								a_       :   int			=	patch_size
								a_       :   List[str]			=	hidden_sizes
								a_       :   Optional[int]			=	neck_hidden_sizes
								a_       :   List[Any]			=	num_attention_heads
								a_       :   Union[str, Any]			=	mlp_ratio
								a_       :   List[str]			=	expand_ratio
								a_       :   str			=	hidden_act
								a_       :   Union[str, Any]			=	conv_kernel_size
								a_       :   Optional[Any]			=	output_stride
								a_       :   Union[str, Any]			=	hidden_dropout_prob
								a_       :   List[Any]			=	attention_probs_dropout_prob
								a_       :   List[Any]			=	classifier_dropout_prob
								a_       :   Union[str, Any]			=	initializer_range
								a_       :   List[Any]			=	layer_norm_eps
								a_       :   str			=	qkv_bias

								# decode head attributes for semantic segmentation
								a_       :   Optional[Any]			=	aspp_out_channels
								a_       :   Any			=	atrous_rates
								a_       :   Union[str, Any]			=	aspp_dropout_prob
								a_       :   Any			=	semantic_loss_ignore_index





class 					snake_case__  ( __A       ):
	UpperCAmelCase   :							Optional[int]         = version.parse("""1.11"""       )





	@property
	def     A				(  self							)		->			Mapping[str, Mapping[int, str]]:
								"""simple docstring"""






								return OrderedDict([("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""})]							)





	@property
	def     A				(  self							)		->			Mapping[str, Mapping[int, str]]:
								"""simple docstring"""






								if self.task == "image-classification":
															return OrderedDict([("""logits""", {0: """batch"""})]							)
								else:
															return OrderedDict([("""last_hidden_state""", {0: """batch"""}), ("""pooler_output""", {0: """batch"""})]							)





	@property
	def     A				(  self							)		->			float:
								"""simple docstring"""






								return 1e-4


