


'''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


__UpperCAmelCase       =							logging.get_logger(__name__)

__UpperCAmelCase       =							{
    '''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 		a__    (							a__  ):





							'''simple docstring'''






							lowercase__      :       int     						=				"levit"







							def __init__(		self ,   lowerCamelCase_=2_24 ,   lowerCamelCase_=3 ,   lowerCamelCase_=3 ,   lowerCamelCase_=2 ,   lowerCamelCase_=1 ,   lowerCamelCase_=16 ,   lowerCamelCase_=[1_28, 2_56, 3_84] ,   lowerCamelCase_=[4, 8, 12] ,   lowerCamelCase_=[4, 4, 4] ,   lowerCamelCase_=[16, 16, 16] ,   lowerCamelCase_=0 ,   lowerCamelCase_=[2, 2, 2] ,   lowerCamelCase_=[2, 2, 2] ,   lowerCamelCase_=0.02 ,   **lowerCamelCase_ ,   )	->							Union[str, Any]:
														super().__init__(**lowerCamelCase_       )
														lowerCAmelCase__	       =     image_size
														lowerCAmelCase__	       =     num_channels
														lowerCAmelCase__	       =     kernel_size
														lowerCAmelCase__	       =     stride
														lowerCAmelCase__	       =     padding
														lowerCAmelCase__	       =     hidden_sizes
														lowerCAmelCase__	       =     num_attention_heads
														lowerCAmelCase__	       =     depths
														lowerCAmelCase__	       =     key_dim
														lowerCAmelCase__	       =     drop_path_rate
														lowerCAmelCase__	       =     patch_size
														lowerCAmelCase__	       =     attention_ratio
														lowerCAmelCase__	       =     mlp_ratio
														lowerCAmelCase__	       =     initializer_range
														lowerCAmelCase__	       =     [
														    ['''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 		a__    (							a__  ):





							'''simple docstring'''






							lowercase__      :       Optional[Any]     						=				version.parse("1.11"  )







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







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



'''simple docstring'''






from __future__ import annotations




class 		a__    :





							'''simple docstring'''






							def __init__(		self ,   lowerCamelCase_       )	->							None:
														lowerCAmelCase__	       =     order

														# a_{0} ... a_{k}
														lowerCAmelCase__	       =     [1.0] + [0.0] * order
														# b_{0} ... b_{k}
														lowerCAmelCase__	       =     [1.0] + [0.0] * order

														# x[n-1] ... x[n-k]
														lowerCAmelCase__	       =     [0.0] * self.order
														# y[n-1] ... y[n-k]
														lowerCAmelCase__	       =     [0.0] * self.order







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_ ,   lowerCamelCase_       )	->							None:
														if len(lowerCamelCase_       ) < self.order:
																					lowerCAmelCase__	       =     [1.0, *a_coeffs]

														if len(lowerCamelCase_       ) != self.order + 1:
																					lowerCAmelCase__	       =     (
																					    F"""Expected a_coeffs to have {self.order + 1} elements """
																					    F"""for {self.order}-order filter, got {len(lowerCamelCase_       )}"""
																					)
																					raise ValueError(lowerCamelCase_       )

														if len(lowerCamelCase_       ) != self.order + 1:
																					lowerCAmelCase__	       =     (
																					    F"""Expected b_coeffs to have {self.order + 1} elements """
																					    F"""for {self.order}-order filter, got {len(lowerCamelCase_       )}"""
																					)
																					raise ValueError(lowerCamelCase_       )

														lowerCAmelCase__	       =     a_coeffs
														lowerCAmelCase__	       =     b_coeffs







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_       )	->							float:
														lowerCAmelCase__	       =     0.0

														# Start at index 1 and do index 0 at the end.
														for i in range(1 ,   self.order + 1       ):
																					result += (
																					    self.b_coeffs[i] * self.input_history[i - 1]
																					    - self.a_coeffs[i] * self.output_history[i - 1]
																					)

														lowerCAmelCase__	       =     (result + self.b_coeffs[0] * sample) / self.a_coeffs[0]

														lowerCAmelCase__	       =     self.input_history[:-1]
														lowerCAmelCase__	       =     self.output_history[:-1]

														lowerCAmelCase__	       =     sample
														lowerCAmelCase__	       =     result

														return result