
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   						=    get_logger(__name__)
def 				__lowercase	(						lowerCamelCase__					)				->Optional[int]:

  '''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 					UpperCAmelCase_				(							lowerCAmelCase_    ):
    UpperCAmelCase_			:       Optional[Any]						 =							False  # to tell pytest it's not a test class




    @staticmethod
    def 						__lowerCamelCase (					lowerCAmelCase  :   str   )	-> str:
      a__     		=     parser.add_parser("test"      ,      help="Test dataset implementation."   )
      test_parser.add_argument("--name"      ,      type=lowerCamelCase_      ,      default=lowerCamelCase_      ,      help="Dataset processing name"   )
      test_parser.add_argument(
          "--cache_dir"      ,      type=lowerCamelCase_      ,      default=lowerCamelCase_      ,      help="Cache directory where the datasets are stored."      ,      )
      test_parser.add_argument(
          "--data_dir"      ,      type=lowerCamelCase_      ,      default=lowerCamelCase_      ,      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=lowerCamelCase_      ,      help="Name of the dataset to download"   )
      test_parser.set_defaults(func=_test_command_factory   )




    def __init__(					self  :   Dict      ,      lowerCAmelCase  :   Tuple      ,      lowerCAmelCase  :   Any      ,      lowerCAmelCase  :   List[str]      ,      lowerCAmelCase  :   Union[str, Any]      ,      lowerCAmelCase  :   List[str]      ,      lowerCAmelCase  :   Union[str, Any]      ,      lowerCAmelCase  :   Optional[int]      ,      lowerCAmelCase  :   Optional[Any]      ,      lowerCAmelCase  :   Tuple      ,      )	-> Union[str, Any]:
      a__     		=     dataset
      a__     		=     name
      a__     		=     cache_dir
      a__     		=     data_dir
      a__     		=     all_configs
      a__     		=     save_infos
      a__     		=     ignore_verifications
      a__     		=     force_redownload
      a__     		=     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__     		=     True




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

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

      print("Test successful."   )


import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging


_SCREAMING_SNAKE_CASE   						=    logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE   						=    {
    """facebook/sam-vit-huge""": """https://huggingface.co/facebook/sam-vit-huge/resolve/main/config.json""",
    """facebook/sam-vit-large""": """https://huggingface.co/facebook/sam-vit-large/resolve/main/config.json""",
    """facebook/sam-vit-base""": """https://huggingface.co/facebook/sam-vit-base/resolve/main/config.json""",
}







class 					UpperCAmelCase_				(							_a    ):




    def __init__(					self  :   List[str]      ,      lowerCAmelCase  :   str=256      ,      lowerCAmelCase  :   Any=1024      ,      lowerCAmelCase  :   List[str]=16      ,      lowerCAmelCase  :   Union[str, Any]=16      ,      lowerCAmelCase  :   int=4      ,      lowerCAmelCase  :   List[Any]="gelu"      ,      lowerCAmelCase  :   str=1e-6      ,      **lowerCAmelCase  :   Union[str, Any]      ,      )	-> Union[str, Any]:
      super().__init__(**lowerCAmelCase   )
      a__     		=     hidden_size
      a__     		=     image_size
      a__     		=     patch_size
      a__     		=     image_size // patch_size
      a__     		=     mask_input_channels
      a__     		=     num_point_embeddings
      a__     		=     hidden_act
      a__     		=     layer_norm_eps







class 					UpperCAmelCase_				(							_a    ):




    def __init__(					self  :   Dict      ,      lowerCAmelCase  :   str=256      ,      lowerCAmelCase  :   Union[str, Any]="relu"      ,      lowerCAmelCase  :   Optional[int]=2048      ,      lowerCAmelCase  :   Any=2      ,      lowerCAmelCase  :   Any=8      ,      lowerCAmelCase  :   Optional[Any]=2      ,      lowerCAmelCase  :   Optional[Any]=3      ,      lowerCAmelCase  :   Union[str, Any]=3      ,      lowerCAmelCase  :   List[str]=256      ,      lowerCAmelCase  :   Optional[Any]=1e-6      ,      **lowerCAmelCase  :   Any      ,      )	-> int:
      super().__init__(**lowerCAmelCase   )
      a__     		=     hidden_size
      a__     		=     hidden_act
      a__     		=     mlp_dim
      a__     		=     num_hidden_layers
      a__     		=     num_attention_heads
      a__     		=     attention_downsample_rate
      a__     		=     num_multimask_outputs
      a__     		=     iou_head_depth
      a__     		=     iou_head_hidden_dim
      a__     		=     layer_norm_eps







class 					UpperCAmelCase_				(							_a    ):




    def __init__(					self  :   Optional[Any]      ,      lowerCAmelCase  :   Optional[Any]=768      ,      lowerCAmelCase  :   int=256      ,      lowerCAmelCase  :   Tuple=12      ,      lowerCAmelCase  :   List[str]=12      ,      lowerCAmelCase  :   Tuple=3      ,      lowerCAmelCase  :   Any=1024      ,      lowerCAmelCase  :   Dict=16      ,      lowerCAmelCase  :   Dict="gelu"      ,      lowerCAmelCase  :   List[Any]=1e-0_6      ,      lowerCAmelCase  :   Any=0.0      ,      lowerCAmelCase  :   Optional[Any]=1e-1_0      ,      lowerCAmelCase  :   Tuple=True      ,      lowerCAmelCase  :   Tuple=4.0      ,      lowerCAmelCase  :   Optional[Any]=True      ,      lowerCAmelCase  :   List[str]=True      ,      lowerCAmelCase  :   Dict=14      ,      lowerCAmelCase  :   Optional[int]=[2, 5, 8, 11]      ,      lowerCAmelCase  :   List[str]=128      ,      lowerCAmelCase  :   List[str]=None      ,      **lowerCAmelCase  :   str      ,      )	-> Optional[int]:
      super().__init__(**lowerCAmelCase   )

      a__     		=     hidden_size
      a__     		=     output_channels
      a__     		=     num_hidden_layers
      a__     		=     num_attention_heads
      a__     		=     num_channels
      a__     		=     image_size
      a__     		=     patch_size
      a__     		=     hidden_act
      a__     		=     layer_norm_eps
      a__     		=     attention_dropout
      a__     		=     initializer_range
      a__     		=     qkv_bias
      a__     		=     mlp_ratio
      a__     		=     use_abs_pos
      a__     		=     use_rel_pos
      a__     		=     window_size
      a__     		=     global_attn_indexes
      a__     		=     num_pos_feats
      a__     		=     int(hidden_size * mlp_ratio   ) if mlp_dim is None else mlp_dim







class 					UpperCAmelCase_				(							_a    ):
    UpperCAmelCase_			:       Optional[Any]						 =							'sam'
    UpperCAmelCase_			:       List[Any]						 =							True




    def __init__(					self  :   Dict      ,      lowerCAmelCase  :   Any=None      ,      lowerCAmelCase  :   Optional[Any]=None      ,      lowerCAmelCase  :   Optional[Any]=None      ,      lowerCAmelCase  :   str=0.02      ,      **lowerCAmelCase  :   int      ,      )	-> Dict:
      super().__init__(**lowerCAmelCase   )
      a__     		=     vision_config if vision_config is not None else {}
      a__     		=     prompt_encoder_config if prompt_encoder_config is not None else {}
      a__     		=     mask_decoder_config if mask_decoder_config is not None else {}

      if isinstance(lowerCAmelCase      ,      lowerCAmelCase   ):
        a__     		=     vision_config.to_dict()
      if isinstance(lowerCAmelCase      ,      lowerCAmelCase   ):
        a__     		=     prompt_encoder_config.to_dict()
      if isinstance(lowerCAmelCase      ,      lowerCAmelCase   ):
        a__     		=     mask_decoder_config.to_dict()

      a__     		=     SamVisionConfig(**lowerCAmelCase   )
      a__     		=     SamPromptEncoderConfig(**lowerCAmelCase   )
      a__     		=     SamMaskDecoderConfig(**lowerCAmelCase   )
      a__     		=     initializer_range




    def 						__lowerCamelCase (					self  :   Optional[Any]   )	-> Union[str, Any]:
      a__     		=     copy.deepcopy(self.__dict__   )
      a__     		=     self.vision_config.to_dict()
      a__     		=     self.prompt_encoder_config.to_dict()
      a__     		=     self.mask_decoder_config.to_dict()
      a__     		=     self.__class__.model_type
      return output

