
'''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


__A       =      logging.get_logger(__name__)

__A       =      {
    "apple/mobilevitv2-1.0": "https://huggingface.co/apple/mobilevitv2-1.0/resolve/main/config.json",
}





class      A							(    snake_case__			):
			lowerCamelCase							:							str    						=					'mobilevitv2'



			def __init__(   self    ,       lowerCamelCase__=3    ,       lowerCamelCase__=256    ,       lowerCamelCase__=2    ,       lowerCamelCase__=2.0    ,       lowerCamelCase__="swish"    ,       lowerCamelCase__=3    ,       lowerCamelCase__=32    ,       lowerCamelCase__=0.1    ,       lowerCamelCase__=0.02    ,       lowerCamelCase__=1e-5    ,       lowerCamelCase__=512    ,       lowerCamelCase__=[6, 12, 18]    ,       lowerCamelCase__=0.1    ,       lowerCamelCase__=255    ,       lowerCamelCase__=[2, 4, 3]    ,       lowerCamelCase__=[128, 192, 256]    ,       lowerCamelCase__=1.0    ,       lowerCamelCase__=2    ,       lowerCamelCase__=0.0    ,       lowerCamelCase__=0.0    ,       **lowerCamelCase__    ,       )     ->						Optional[Any]:




									'''simple docstring'''



									super().__init__(**lowerCamelCase__    )

									lowercase__								=    num_channels
									lowercase__								=    image_size
									lowercase__								=    patch_size
									lowercase__								=    expand_ratio
									lowercase__								=    hidden_act
									lowercase__								=    conv_kernel_size
									lowercase__								=    output_stride
									lowercase__								=    initializer_range
									lowercase__								=    layer_norm_eps
									lowercase__								=    n_attn_blocks
									lowercase__								=    base_attn_unit_dims
									lowercase__								=    width_multiplier
									lowercase__								=    ffn_multiplier
									lowercase__								=    ffn_dropout
									lowercase__								=    attn_dropout
									lowercase__								=    classifier_dropout_prob

									# decode head attributes for semantic segmentation
									lowercase__								=    aspp_out_channels
									lowercase__								=    atrous_rates
									lowercase__								=    aspp_dropout_prob
									lowercase__								=    semantic_loss_ignore_index





class      A							(    snake_case__			):
			lowerCamelCase							:							Tuple    						=					version.parse("""1.11"""			)



			@property
			def A__	(   self    )     ->						Mapping[str, Mapping[int, str]]:




									'''simple docstring'''



									return OrderedDict([("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""})]    )



			@property
			def A__	(   self    )     ->						Mapping[str, Mapping[int, str]]:




									'''simple docstring'''



									if self.task == "image-classification":
															return OrderedDict([("""logits""", {0: """batch"""})]    )
									else:
															return OrderedDict([("""last_hidden_state""", {0: """batch"""}), ("""pooler_output""", {0: """batch"""})]    )



			@property
			def A__	(   self    )     ->						float:




									'''simple docstring'''



									return 1e-4








'''simple docstring'''



def 	_A						(							lowercase__		):
						if not isinstance(lowercase__						,						lowercase__		):
												raise ValueError("""Input series is not valid, valid series - [1, 2/3, 2]"""		)
						if len(lowercase__		) == 0:
												raise ValueError("""Input list must be a non empty list"""		)
						if len(lowercase__		) == 1 and series[0] != 0:
												return True
						lowercase__								=    []
						lowercase__								=    len(lowercase__		)
						for i in range(0						,						lowercase__		):
												if series[i] == 0:
																		raise ValueError("""Input series cannot have 0 as an element"""		)
												rec_series.append(1 / series[i]		)
						lowercase__								=    rec_series[1] - rec_series[0]
						for index in range(2						,						lowercase__		):
												if rec_series[index] - rec_series[index - 1] != common_diff:
																		return False
						return True





def 	_A						(							lowercase__		):
						if not isinstance(lowercase__						,						lowercase__		):
												raise ValueError("""Input series is not valid, valid series - [2, 4, 6]"""		)
						if len(lowercase__		) == 0:
												raise ValueError("""Input list must be a non empty list"""		)
						lowercase__								=    0
						for val in series:
												answer += 1 / val
						return len(lowercase__		) / answer


if __name__ == "__main__":
				import doctest

				doctest.testmod()






