






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


snake_case_   :	Optional[Any]							      =logging.get_logger(__name__)

snake_case_   :	Any							      ={
    '''MBZUAI/swiftformer-xs''': '''https://huggingface.co/MBZUAI/swiftformer-xs/resolve/main/config.json''',
}





class        a__      (	lowerCAmelCase__		):
		UpperCAmelCase_							:       Union[str, Any] 					= 'swiftformer'






		def __init__(      self							, lowercase__=3							, lowercase__=[3, 3, 6, 4]							, lowercase__=[48, 56, 112, 220]							, lowercase__=4							, lowercase__=[True, True, True, True]							, lowercase__="gelu"							, lowercase__=3							, lowercase__=2							, lowercase__=1							, lowercase__=0.0							, lowercase__=True							, lowercase__=1e-5							, lowercase__=1e-5							, **lowercase__							, )				->				Optional[Any]:
				super().__init__(**lowercase__						)
				__A    =							num_channels
				__A    =							depths
				__A    =							embed_dims
				__A    =							mlp_ratio
				__A    =							downsamples
				__A    =							hidden_act
				__A    =							down_patch_size
				__A    =							down_stride
				__A    =							down_pad
				__A    =							drop_path_rate
				__A    =							use_layer_scale
				__A    =							layer_scale_init_value
				__A    =							batch_norm_eps





class        a__      (	lowerCAmelCase__		):
		UpperCAmelCase_							:       Union[str, Any] 					= version.parse('1.11'		)






		@property
		def 					_lowerCamelCase					(      self						)				->				Mapping[str, Mapping[int, str]]:
				return OrderedDict(
				    [
				        ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
				    ]						)






		@property
		def 					_lowerCamelCase					(      self						)				->				float:
				return 1e-4








'''simple docstring'''






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 				_lowerCamelCase(	UpperCamelCase__     :			Any		)		->	List[str]:
    return EnvironmentCommand()





class 	_lowercase    (				a					):


   @staticmethod
   def        snake_case					(			_UpperCAmelCase       ):
       A							:							List[str]				=    parser.add_parser('''env'''     , help='''Print relevant system environment info.'''       )
       download_parser.set_defaults(func=_UpperCAmelCase       )


   def        snake_case					(			self       ):
       A							:							Optional[int]				=    {
           '''`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(_UpperCAmelCase       )       )

       return info


   @staticmethod
   def        snake_case					(			_UpperCAmelCase       ):
       return "\n".join([f'''- {prop}: {val}''' for prop, val in d.items()]       ) + "\n"
