






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/mobilevit-small''': '''https://huggingface.co/apple/mobilevit-small/resolve/main/config.json''',
    '''apple/mobilevit-x-small''': '''https://huggingface.co/apple/mobilevit-x-small/resolve/main/config.json''',
    '''apple/mobilevit-xx-small''': '''https://huggingface.co/apple/mobilevit-xx-small/resolve/main/config.json''',
    '''apple/deeplabv3-mobilevit-small''': (
        '''https://huggingface.co/apple/deeplabv3-mobilevit-small/resolve/main/config.json'''
    ),
    '''apple/deeplabv3-mobilevit-x-small''': (
        '''https://huggingface.co/apple/deeplabv3-mobilevit-x-small/resolve/main/config.json'''
    ),
    '''apple/deeplabv3-mobilevit-xx-small''': (
        '''https://huggingface.co/apple/deeplabv3-mobilevit-xx-small/resolve/main/config.json'''
    ),
    # See all MobileViT models at https://huggingface.co/models?filter=mobilevit
}





class __lowerCamelCase					( snake_case__):





	"""simple docstring"""






	UpperCamelCase__								= "mobilevit"

	def __init__(				self			,       UpperCAmelCase=3			,       UpperCAmelCase=256			,       UpperCAmelCase=2			,       UpperCAmelCase=[144, 192, 240]			,       UpperCAmelCase=[16, 32, 64, 96, 128, 160, 640]			,       UpperCAmelCase=4			,       UpperCAmelCase=2.0			,       UpperCAmelCase=4.0			,       UpperCAmelCase="silu"			,       UpperCAmelCase=3			,       UpperCAmelCase=32			,       UpperCAmelCase=0.1			,       UpperCAmelCase=0.0			,       UpperCAmelCase=0.1			,       UpperCAmelCase=0.02			,       UpperCAmelCase=1e-5			,       UpperCAmelCase=True			,       UpperCAmelCase=256			,       UpperCAmelCase=[6, 12, 18]			,       UpperCAmelCase=0.1			,       UpperCAmelCase=255			,       **UpperCAmelCase			,       ):
							"""simple docstring"""







							super().__init__(**UpperCAmelCase       )

							_UpperCAmelCase							   =     num_channels
							_UpperCAmelCase							   =     image_size
							_UpperCAmelCase							   =     patch_size
							_UpperCAmelCase							   =     hidden_sizes
							_UpperCAmelCase							   =     neck_hidden_sizes
							_UpperCAmelCase							   =     num_attention_heads
							_UpperCAmelCase							   =     mlp_ratio
							_UpperCAmelCase							   =     expand_ratio
							_UpperCAmelCase							   =     hidden_act
							_UpperCAmelCase							   =     conv_kernel_size
							_UpperCAmelCase							   =     output_stride
							_UpperCAmelCase							   =     hidden_dropout_prob
							_UpperCAmelCase							   =     attention_probs_dropout_prob
							_UpperCAmelCase							   =     classifier_dropout_prob
							_UpperCAmelCase							   =     initializer_range
							_UpperCAmelCase							   =     layer_norm_eps
							_UpperCAmelCase							   =     qkv_bias

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





class __lowerCamelCase					( snake_case__):





	"""simple docstring"""






	UpperCamelCase__								= version.parse("1.11")

	@property
	def 			UpperCamelCase       (				self       ):
							"""simple docstring"""







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

	@property
	def 			UpperCamelCase       (				self       ):
							"""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 			UpperCamelCase       (				self       ):
							"""simple docstring"""







							return 1e-4








from __future__ import annotations


def __A       ( __lowerCAmelCase					,						__lowerCAmelCase					,						__lowerCAmelCase					,						)->    list[float | int]:





						"""simple docstring"""



						if not all((nth_term, start_term_a, common_ratio_r)      ):
												return []
						_UpperCAmelCase							   =     []
						_UpperCAmelCase							   =     1
						_UpperCAmelCase							   =     common_ratio_r
						for _ in range(int(__lowerCAmelCase      )      ):
												if not series:
																		series.append(__lowerCAmelCase      )
												else:
																		power += 1
																		series.append(float(start_term_a * multiple      )      )
																		_UpperCAmelCase							   =     pow(float(__lowerCAmelCase      )					,						__lowerCAmelCase      )
						return series


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		_a       =    float(input('''Enter the last number (n term) of the Geometric Series'''))
		_a       =    float(input('''Enter the starting term (a) of the Geometric Series'''))
		_a       =    float(
		    input('''Enter the common ratio between two terms (r) of the Geometric Series''')
		)
		print('''Formula of Geometric Series => a + ar + ar^2 ... +ar^n''')
		print(geometric_series(nth_term, start_term_a, common_ratio_r))
