

from __future__ import annotations







class lowerCAmelCase_						:

 '''simple docstring'''

 def __init__(     self		,				_UpperCAmelCase ):
       snake_case_	=				order

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

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



 def 						UpperCamelCase__					(     self		,				_UpperCAmelCase		,				_UpperCAmelCase ):






       if len(lowerCamelCase__ ) < self.order:
             snake_case_	=				[1.0, *a_coeffs]

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

       snake_case_	=				a_coeffs
       snake_case_	=				b_coeffs





 def 						UpperCamelCase__					(     self		,				_UpperCAmelCase ):
       snake_case_	=				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]
             )

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

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

       snake_case_	=				sample
       snake_case_	=				result

       return result



from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


UpperCAmelCase      =   logging.get_logger(__name__)

UpperCAmelCase      =   {
    """facebook/convnextv2-tiny-1k-224""": """https://huggingface.co/facebook/convnextv2-tiny-1k-224/resolve/main/config.json""",
}







class lowerCAmelCase_						(			lowerCamelCase__ ,						lowerCamelCase__	):

 '''simple docstring'''

 __snake_case												=  "convnextv2"



 def __init__(     self		,				_UpperCAmelCase=3		,				_UpperCAmelCase=4		,				_UpperCAmelCase=4		,				_UpperCAmelCase=None		,				_UpperCAmelCase=None		,				_UpperCAmelCase="gelu"		,				_UpperCAmelCase=0.02		,				_UpperCAmelCase=1E-12		,				_UpperCAmelCase=0.0		,				_UpperCAmelCase=2_24		,				_UpperCAmelCase=None		,				_UpperCAmelCase=None		,				**_UpperCAmelCase		,				):
       super().__init__(**_UpperCAmelCase )

       snake_case_	=				num_channels
       snake_case_	=				patch_size
       snake_case_	=				num_stages
       snake_case_	=				[96, 1_92, 3_84, 7_68] if hidden_sizes is None else hidden_sizes
       snake_case_	=				[3, 3, 9, 3] if depths is None else depths
       snake_case_	=				hidden_act
       snake_case_	=				initializer_range
       snake_case_	=				layer_norm_eps
       snake_case_	=				drop_path_rate
       snake_case_	=				image_size
       snake_case_	=				['''stem'''] + [F'''stage{idx}''' for idx in range(1		,				len(self.depths ) + 1 )]
       snake_case_	,   snake_case_	=				get_aligned_output_features_output_indices(
           out_features=_UpperCAmelCase		,				out_indices=_UpperCAmelCase		,				stage_names=self.stage_names )