




from __future__ import annotations




class 		UpperCamelCase__	:

    '''simple docstring'''



    def __init__(    self     ,  UpperCamelCase__     )     ->      None:
           lowerCamelCase   :      List[Any]			 =					order

           # a_{0} ... a_{k}
           lowerCamelCase   :      Any			 =					[1.0] + [0.0] * order
           # b_{0} ... b_{k}
           lowerCamelCase   :      Union[str, Any]			 =					[1.0] + [0.0] * order

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







    def     _lowercase     (    self     ,  UpperCamelCase__     ,  UpperCamelCase__     )     ->      None:
           if len(UpperCamelCase__     ) < self.order:
                  lowerCamelCase   :      Dict			 =					[1.0, *a_coeffs]

           if len(UpperCamelCase__     ) != self.order + 1:
                  lowerCamelCase   :      str			 =					(
                      F'''Expected a_coeffs to have {self.order + 1} elements '''
                      F'''for {self.order}-order filter, got {len(UpperCamelCase__     )}'''
                  )
                  raise ValueError(UpperCamelCase__     )

           if len(UpperCamelCase__     ) != self.order + 1:
                  lowerCamelCase   :      Optional[int]			 =					(
                      F'''Expected b_coeffs to have {self.order + 1} elements '''
                      F'''for {self.order}-order filter, got {len(UpperCamelCase__     )}'''
                  )
                  raise ValueError(UpperCamelCase__     )

           lowerCamelCase   :      List[Any]			 =					a_coeffs
           lowerCamelCase   :      str			 =					b_coeffs







    def     _lowercase     (    self     ,  UpperCamelCase__     )     ->      float:
           lowerCamelCase   :      Optional[Any]			 =					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   :      Dict			 =					(result + self.b_coeffs[0] * sample) / self.a_coeffs[0]

           lowerCamelCase   :      Dict			 =					self.input_history[:-1]
           lowerCamelCase   :      int			 =					self.output_history[:-1]

           lowerCamelCase   :      List[Any]			 =					sample
           lowerCamelCase   :      Dict			 =					result

           return result







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__UpperCamelCase		:       int									=     {'configuration_yolos': ['YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP', 'YolosConfig', 'YolosOnnxConfig']}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__UpperCamelCase		:       int									=     ['YolosFeatureExtractor']
					__UpperCamelCase		:       Union[str, Any]									=     ['YolosImageProcessor']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__UpperCamelCase		:       str									=     [
					    'YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'YolosForObjectDetection',
					    'YolosModel',
					    'YolosPreTrainedModel',
					]


if TYPE_CHECKING:
					from .configuration_yolos import YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP, YolosConfig, YolosOnnxConfig

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .feature_extraction_yolos import YolosFeatureExtractor
										from .image_processing_yolos import YolosImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_yolos import (
										    YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST,
										    YolosForObjectDetection,
										    YolosModel,
										    YolosPreTrainedModel,
										)


else:
					import sys

					__UpperCamelCase		:       int									=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





