'''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


_lowercase						: str						=						logging.get_logger(__name__)

_lowercase						: Union[str, Any]						=						{
    "facebook/levit-128S": "https://huggingface.co/facebook/levit-128S/resolve/main/config.json",
    # See all LeViT models at https://huggingface.co/models?filter=levit
}





class     __magic_name__						(    _UpperCAmelCase):
			UpperCamelCase__				=       '''levit'''







			def __init__(	self				:  str				,			lowercase_				:  List[Any]=224				,			lowercase_				:  List[str]=3				,			lowercase_				:  Union[str, Any]=3				,			lowercase_				:  Optional[Any]=2				,			lowercase_				:  List[Any]=1				,			lowercase_				:  Union[str, Any]=16				,			lowercase_				:  List[Any]=[128, 256, 384]				,			lowercase_				:  int=[4, 8, 12]				,			lowercase_				:  Dict=[4, 4, 4]				,			lowercase_				:  Any=[16, 16, 16]				,			lowercase_				:  Optional[Any]=0				,			lowercase_				:  Optional[Any]=[2, 2, 2]				,			lowercase_				:  Any=[2, 2, 2]				,			lowercase_				:  List[Any]=0.02				,			**lowercase_				:  Any				,			):
										super().__init__(**lowercase_    )
										lowercase_					:			Any										=       image_size
										lowercase_					:			Tuple										=       num_channels
										lowercase_					:			List[str]										=       kernel_size
										lowercase_					:			Union[str, Any]										=       stride
										lowercase_					:			Union[str, Any]										=       padding
										lowercase_					:			Tuple										=       hidden_sizes
										lowercase_					:			Any										=       num_attention_heads
										lowercase_					:			Tuple										=       depths
										lowercase_					:			List[Any]										=       key_dim
										lowercase_					:			int										=       drop_path_rate
										lowercase_					:			List[Any]										=       patch_size
										lowercase_					:			Dict										=       attention_ratio
										lowercase_					:			str										=       mlp_ratio
										lowercase_					:			Tuple										=       initializer_range
										lowercase_					:			Union[str, Any]										=       [
										    ["""Subsample""", key_dim[0], hidden_sizes[0] // key_dim[0], 4, 2, 2],
										    ["""Subsample""", key_dim[0], hidden_sizes[1] // key_dim[0], 4, 2, 2],
										]





class     __magic_name__						(    _UpperCAmelCase):
			UpperCamelCase__				=       version.parse('''1.11''')







			@property
			def 	SCREAMING_SNAKE_CASE_     (	self				:  Dict    ):
										return OrderedDict(
										    [
										        ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
										    ]    )







			@property
			def 	SCREAMING_SNAKE_CASE_     (	self				:  Optional[int]    ):
										return 1E-4






'''simple docstring'''




from urllib.parse import quote

import pytest

from datasets.utils.hub import hf_hub_url




@pytest.mark.parametrize("""repo_id"""      ,      ["""canonical_dataset_name""", """org-name/dataset-name"""] )
@pytest.mark.parametrize("""path"""      ,      ["""filename.csv""", """filename with blanks.csv"""] )
@pytest.mark.parametrize("""revision"""      ,      [None, """v2"""] )
def 							lowerCamelCase	(      UpperCAmelCase__       :					int      ,      UpperCAmelCase__       :					Optional[int]      ,      UpperCAmelCase__       :					Optional[int] )			->      Optional[int]:
							lowercase_					:			Union[str, Any]										=       hf_hub_url(repo_id=UpperCAmelCase__      ,      path=UpperCAmelCase__      ,      revision=UpperCAmelCase__ )
							assert url == F'''https://huggingface.co/datasets/{repo_id}/resolve/{revision or 'main'}/{quote(UpperCAmelCase__ )}'''





