



"""simple docstring"""

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
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


lowercase__					:						List[Any]							=			logging.get_logger(__name__)

lowercase__					:						str							=			{
    '''microsoft/resnet-50''': '''https://huggingface.co/microsoft/resnet-50/blob/main/config.json''',
}




class  _UpperCAmelCase (    lowerCAmelCase__					,  lowerCAmelCase__):
 _lowerCAmelCase     :    List[Any]	      =	'resnet'
 _lowerCAmelCase     :    List[str]	      =	['basic', 'bottleneck']

 def __init__(  self	: List[Any]						,  lowercase_	: Union[str, Any]=3						,  lowercase_	: str=64						,  lowercase_	: Optional[int]=[256, 512, 1024, 2048]						,  lowercase_	: str=[3, 4, 6, 3]						,  lowercase_	: Any="bottleneck"						,  lowercase_	: List[str]="relu"						,  lowercase_	: str=False						,  lowercase_	: Optional[Any]=None						,  lowercase_	: Union[str, Any]=None						,  **lowercase_	: str						,  ):
     super().__init__(**lowercase_       )
     if layer_type not in self.layer_types:
         raise ValueError(f"layer_type={layer_type} is not one of {','.join(self.layer_types       )}"       )
     snake_case_				:  List[str]       =			num_channels
     snake_case_				:  Dict       =			embedding_size
     snake_case_				:  int       =			hidden_sizes
     snake_case_				:  Tuple       =			depths
     snake_case_				:  Tuple       =			layer_type
     snake_case_				:  List[str]       =			hidden_act
     snake_case_				:  Optional[int]       =			downsample_in_first_stage
     snake_case_				:  int       =			['''stem'''] + [f"stage{idx}" for idx in range(1						,  len(lowercase_       ) + 1       )]
     snake_case_,			snake_case_				:  List[Any]       =			get_aligned_output_features_output_indices(
         out_features=lowercase_						,  out_indices=lowercase_						,  stage_names=self.stage_names       )





class  _UpperCAmelCase (    lowerCAmelCase__):
 _lowerCAmelCase     :    Optional[int]	      =	version.parse("""1.11""")

 @property
 def 		_snake_case      (  self	: Any       ):
     return OrderedDict(
         [
             ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
         ]       )






 @property
 def 		_snake_case      (  self	: Optional[int]       ):
     return 1E-3










"""simple docstring"""

from argparse import ArgumentParser

from datasets.commands.convert import ConvertCommand
from datasets.commands.dummy_data import DummyDataCommand
from datasets.commands.env import EnvironmentCommand
from datasets.commands.run_beam import RunBeamCommand
from datasets.commands.test import TestCommand
from datasets.utils.logging import set_verbosity_info




def __lowercase    (							_a					):
    return {key.lstrip('''-'''					): value for key, value in zip(unknown_args[::2]	,    unknown_args[1::2]					)}




def __lowercase    (							):
    snake_case_				:  List[str]       =			ArgumentParser(
        '''HuggingFace Datasets CLI tool'''	,    usage='''datasets-cli <command> [<args>]'''	,    allow_abbrev=_a					)
    snake_case_				:  List[Any]       =			parser.add_subparsers(help='''datasets-cli command helpers'''					)
    set_verbosity_info()

    # Register commands
    ConvertCommand.register_subcommand(_a					)
    EnvironmentCommand.register_subcommand(_a					)
    TestCommand.register_subcommand(_a					)
    RunBeamCommand.register_subcommand(_a					)
    DummyDataCommand.register_subcommand(_a					)

    # Parse args
    snake_case_,			snake_case_				:  Optional[Any]       =			parser.parse_known_args()
    if not hasattr(_a	,    '''func'''					):
        parser.print_help()
        exit(1					)
    snake_case_				:  Optional[int]       =			parse_unknown_args(_a					)

    # Run
    snake_case_				:  Optional[int]       =			args.func(_a	,    **_a					)
    service.run()


if __name__ == "__main__":
     main()





