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


__lowerCamelCase							= logging.get_logger(__name__)

__lowerCamelCase							= {
    """facebook/regnet-y-040""": """https://huggingface.co/facebook/regnet-y-040/blob/main/config.json""",
}






class 						UpperCAmelCase	(		A_				):
   A__      :	Dict		  =  "regnet"
   A__      :	List[str]		  =  ["x", "y"]



   def __init__(self	:      Tuple					,		snake_case__	:      Tuple=3					,		snake_case__	:      Dict=32					,		snake_case__	:      List[Any]=[1_28, 1_92, 5_12, 10_88]					,		snake_case__	:      List[str]=[2, 6, 12, 2]					,		snake_case__	:      Tuple=64					,		snake_case__	:      int="y"					,		snake_case__	:      Optional[Any]="relu"					,		**snake_case__	:      Optional[int]					,		)	->			Union[str, Any]:


          '''simple docstring'''


          super().__init__(**snake_case__				)
          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 :     Optional[int]           =   num_channels
          snake_case :     Tuple           =   embedding_size
          snake_case :     Dict           =   hidden_sizes
          snake_case :     Union[str, Any]           =   depths
          snake_case :     Union[str, Any]           =   groups_width
          snake_case :     Any           =   layer_type
          snake_case :     Union[str, Any]           =   hidden_act
          # always downsample in the first stage
          snake_case :     Optional[int]           =   True







import platform
from argparse import ArgumentParser

import huggingface_hub
import pandas
import pyarrow

from datasets import __version__ as version
from datasets.commands import BaseDatasetsCLICommand


def     UpperCamelCase      (					__lowerCamelCase  :				int					):
       return EnvironmentCommand()






class 						UpperCAmelCase	(		A_				):



   @staticmethod
   def        _SCREAMING_SNAKE_CASE     (snake_case__	:      ArgumentParser				)	->			Any:


          '''simple docstring'''


          snake_case :     Optional[Any]           =   parser.add_parser("env"					,		help="Print relevant system environment info."				)
          download_parser.set_defaults(func=snake_case__				)



   def        _SCREAMING_SNAKE_CASE     (self	:      Dict				)	->			Optional[Any]:


          '''simple docstring'''


          snake_case :     List[str]           =   {
              "`datasets` version": version,
              "Platform": platform.platform(),
              "Python version": platform.python_version(),
              "Huggingface_hub version": huggingface_hub.__version__,
              "PyArrow version": pyarrow.__version__,
              "Pandas version": pandas.__version__,
          }

          print("\nCopy-and-paste the text below in your GitHub issue.\n"				)
          print(self.format_dict(snake_case__				)				)

          return info



   @staticmethod
   def        _SCREAMING_SNAKE_CASE     (snake_case__	:      Tuple				)	->			Any:


          '''simple docstring'''


          return "\n".join([f"""- {prop}: {val}""" for prop, val in d.items()]				) + "\n"





