


'''simple docstring'''





from __future__ import annotations




class 				UpperCAmelCase			:


 def __init__(      self							:	Optional[int]			,       __lowerCamelCase							:	int ):
    UpperCAmelCase__	:Union[str, Any]      =      order

    # a_{0} ... a_{k}
    UpperCAmelCase__	:Dict      =      [1.0] + [0.0] * order
    # b_{0} ... b_{k}
    UpperCAmelCase__	:List[Any]      =      [1.0] + [0.0] * order

    # x[n-1] ... x[n-k]
    UpperCAmelCase__	:List[str]      =      [0.0] * self.order
    # y[n-1] ... y[n-k]
    UpperCAmelCase__	:Union[str, Any]      =      [0.0] * self.order


 def        __SCREAMING_SNAKE_CASE					(      self							:	Union[str, Any]			,       __lowerCamelCase							:	list[float]			,       __lowerCamelCase							:	list[float] ):
    if len(__lowerCamelCase ) < self.order:
       UpperCAmelCase__	:List[Any]      =      [1.0, *a_coeffs]

    if len(__lowerCamelCase ) != self.order + 1:
       UpperCAmelCase__	:List[str]      =      (
           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:
       UpperCAmelCase__	:List[Any]      =      (
           f'''Expected b_coeffs to have {self.order + 1} elements '''
           f'''for {self.order}-order filter, got {len(__lowerCamelCase )}'''
       )
       raise ValueError(__lowerCamelCase )

    UpperCAmelCase__	:Optional[Any]      =      a_coeffs
    UpperCAmelCase__	:int      =      b_coeffs





 def        __SCREAMING_SNAKE_CASE					(      self							:	Union[str, Any]			,       __lowerCamelCase							:	float ):
    UpperCAmelCase__	:List[str]      =      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]
       )

    UpperCAmelCase__	:Tuple      =      (result + self.b_coeffs[0] * sample) / self.a_coeffs[0]

    UpperCAmelCase__	:Dict      =      self.input_history[:-1]
    UpperCAmelCase__	:List[Any]      =      self.output_history[:-1]

    UpperCAmelCase__	:List[str]      =      sample
    UpperCAmelCase__	:Optional[Any]      =      result

    return result







'''simple docstring'''





import warnings
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


__lowerCamelCase												=						logging.get_logger(__name__)

__lowerCamelCase												=						{
    '''nvidia/segformer-b0-finetuned-ade-512-512''': (
        '''https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512/resolve/main/config.json'''
    ),
    # See all SegFormer models at https://huggingface.co/models?filter=segformer
}




class 				UpperCAmelCase			(			_snake_case						):
 UpperCAmelCase				=					"segformer"


 def __init__(      self							:	Dict			,       __lowerCamelCase							:	Dict=3			,       __lowerCamelCase							:	List[str]=4			,       __lowerCamelCase							:	List[Any]=[2, 2, 2, 2]			,       __lowerCamelCase							:	List[str]=[8, 4, 2, 1]			,       __lowerCamelCase							:	Optional[Any]=[3_2, 6_4, 1_6_0, 2_5_6]			,       __lowerCamelCase							:	Tuple=[7, 3, 3, 3]			,       __lowerCamelCase							:	Tuple=[4, 2, 2, 2]			,       __lowerCamelCase							:	Any=[1, 2, 5, 8]			,       __lowerCamelCase							:	Optional[Any]=[4, 4, 4, 4]			,       __lowerCamelCase							:	Union[str, Any]="gelu"			,       __lowerCamelCase							:	Dict=0.0			,       __lowerCamelCase							:	Union[str, Any]=0.0			,       __lowerCamelCase							:	Tuple=0.1			,       __lowerCamelCase							:	Optional[Any]=0.02			,       __lowerCamelCase							:	Optional[int]=0.1			,       __lowerCamelCase							:	str=1e-6			,       __lowerCamelCase							:	List[Any]=2_5_6			,       __lowerCamelCase							:	int=2_5_5			,       **__lowerCamelCase							:	str			,       ):
    super().__init__(**__lowerCamelCase )

    if "reshape_last_stage" in kwargs and kwargs["reshape_last_stage"] is False:
       warnings.warn(
           '''Reshape_last_stage is set to False in this config. This argument is deprecated and will soon be'''
           ''' removed, as the behaviour will default to that of reshape_last_stage = True.'''			,       __lowerCamelCase			,       )

    UpperCAmelCase__	:Dict      =      num_channels
    UpperCAmelCase__	:List[Any]      =      num_encoder_blocks
    UpperCAmelCase__	:List[str]      =      depths
    UpperCAmelCase__	:str      =      sr_ratios
    UpperCAmelCase__	:Optional[Any]      =      hidden_sizes
    UpperCAmelCase__	:List[str]      =      patch_sizes
    UpperCAmelCase__	:List[str]      =      strides
    UpperCAmelCase__	:List[str]      =      mlp_ratios
    UpperCAmelCase__	:Dict      =      num_attention_heads
    UpperCAmelCase__	:Tuple      =      hidden_act
    UpperCAmelCase__	:List[str]      =      hidden_dropout_prob
    UpperCAmelCase__	:List[Any]      =      attention_probs_dropout_prob
    UpperCAmelCase__	:int      =      classifier_dropout_prob
    UpperCAmelCase__	:str      =      initializer_range
    UpperCAmelCase__	:List[str]      =      drop_path_rate
    UpperCAmelCase__	:Dict      =      layer_norm_eps
    UpperCAmelCase__	:List[str]      =      decoder_hidden_size
    UpperCAmelCase__	:Optional[int]      =      kwargs.get('''reshape_last_stage'''			,       __lowerCamelCase )
    UpperCAmelCase__	:str      =      semantic_loss_ignore_index




class 				UpperCAmelCase			(			_snake_case						):
 UpperCAmelCase				=					version.parse("1.11"						)


 @property
 def        __SCREAMING_SNAKE_CASE					(      self							:	Optional[Any] ):
    return OrderedDict(
        [
            ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
        ] )


 @property
 def        __SCREAMING_SNAKE_CASE					(      self							:	Optional[int] ):
    return 1e-4





 @property
 def        __SCREAMING_SNAKE_CASE					(      self							:	List[str] ):
    return 1_2



