

'''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


__snake_case			:     List[Any]										=      logging.get_logger(__name__)

__snake_case			:     List[str]										=      {
    'facebook/data2vec-vision-base-ft': (
        'https://huggingface.co/facebook/data2vec-vision-base-ft/resolve/main/config.json'
    ),
}



class lowerCamelCase			(  lowercase_						):



			'''simple docstring'''






			__snake_case        =	'data2vec-vision'


			def __init__(				self	:						str		,      lowerCAmelCase_	:						Optional[Any]=7_68		,      lowerCAmelCase_	:						str=12		,      lowerCAmelCase_	:						int=12		,      lowerCAmelCase_	:						Dict=30_72		,      lowerCAmelCase_	:						Dict="gelu"		,      lowerCAmelCase_	:						Union[str, Any]=0.0		,      lowerCAmelCase_	:						Tuple=0.0		,      lowerCAmelCase_	:						Union[str, Any]=0.02		,      lowerCAmelCase_	:						List[Any]=1e-12		,      lowerCAmelCase_	:						Dict=2_24		,      lowerCAmelCase_	:						int=16		,      lowerCAmelCase_	:						int=3		,      lowerCAmelCase_	:						Optional[Any]=False		,      lowerCAmelCase_	:						Tuple=False		,      lowerCAmelCase_	:						List[Any]=False		,      lowerCAmelCase_	:						int=False		,      lowerCAmelCase_	:						List[str]=0.1		,      lowerCAmelCase_	:						Dict=0.1		,      lowerCAmelCase_	:						List[str]=True		,      lowerCAmelCase_	:						Dict=[3, 5, 7, 11]		,      lowerCAmelCase_	:						Optional[int]=[1, 2, 3, 6]		,      lowerCAmelCase_	:						Union[str, Any]=True		,      lowerCAmelCase_	:						List[Any]=0.4		,      lowerCAmelCase_	:						Any=2_56		,      lowerCAmelCase_	:						List[Any]=1		,      lowerCAmelCase_	:						Union[str, Any]=False		,      lowerCAmelCase_	:						List[str]=2_55		,      **lowerCAmelCase_	:						Union[str, Any]		,      )      ->		Optional[Any]:





									'''simple docstring'''
									super().__init__(**lowerCamelCase_			)

									A__					:       Dict     =hidden_size
									A__					:       Optional[Any]     =num_hidden_layers
									A__					:       str     =num_attention_heads
									A__					:       Any     =intermediate_size
									A__					:       Union[str, Any]     =hidden_act
									A__					:       Dict     =hidden_dropout_prob
									A__					:       Union[str, Any]     =attention_probs_dropout_prob
									A__					:       Optional[Any]     =initializer_range
									A__					:       Union[str, Any]     =layer_norm_eps

									A__					:       Dict     =image_size
									A__					:       List[Any]     =patch_size
									A__					:       Optional[Any]     =num_channels
									A__					:       Optional[int]     =use_mask_token
									A__					:       List[Any]     =use_absolute_position_embeddings
									A__					:       str     =use_relative_position_bias
									A__					:       List[Any]     =use_shared_relative_position_bias
									A__					:       Dict     =layer_scale_init_value
									A__					:       str     =drop_path_rate
									A__					:       str     =use_mean_pooling
									# decode head attributes (semantic segmentation)
									A__					:       List[Any]     =out_indices
									A__					:       Union[str, Any]     =pool_scales
									# auxiliary head attributes (semantic segmentation)
									A__					:       Optional[int]     =use_auxiliary_head
									A__					:       Tuple     =auxiliary_loss_weight
									A__					:       int     =auxiliary_channels
									A__					:       int     =auxiliary_num_convs
									A__					:       Optional[Any]     =auxiliary_concat_input
									A__					:       int     =semantic_loss_ignore_index



class lowerCamelCase			(  lowercase_						):



			'''simple docstring'''






			__snake_case        =	version.parse('1.11'						)


			@property
			def lowercase__						(				self	:						str			)      ->		Mapping[str, Mapping[int, str]]:





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



			@property
			def lowercase__						(				self	:						Optional[Any]			)      ->		float:





									'''simple docstring'''
									return 1e-4




'''simple docstring'''



from __future__ import annotations

from math import pi
from typing import Protocol

import matplotlib.pyplot as plt
import numpy as np



class lowerCamelCase			(  lowercase_						):



			'''simple docstring'''






			def lowercase__						(				self	:						Any		,      lowerCAmelCase_	:						float			)      ->		float:





									'''simple docstring'''
									return 0.0


def 						__lowerCamelCase	(       __snake_case					:		np.ndarray,		__snake_case					:		int	)	->							tuple[int | float, int | float]:






						"""simple docstring"""





						A__					:       Tuple     =min([-20, np.min(fft_results[1 : samplerate // 2 - 1]	)]	)
						A__					:       str     =max([20, np.max(fft_results[1 : samplerate // 2 - 1]	)]	)
						return lowest, highest
def 						__lowerCamelCase	(       __snake_case					:		FilterType,		__snake_case					:		int	)	->							None:






						"""simple docstring"""





						A__					:       Any     =512
						A__					:       int     =[1] + [0] * (size - 1)
						A__					:       int     =[filter_type.process(__snake_case	) for item in inputs]

						A__					:       Union[str, Any]     =[0] * (samplerate - size)  # zero-padding
						outputs += filler
						A__					:       List[Any]     =np.abs(np.fft.fft(__snake_case	)	)
						A__					:       int     =20 * np.logaa(__snake_case	)

						# Frequencies on log scale from 24 to nyquist frequency
						plt.xlim(24,		samplerate / 2 - 1	)
						plt.xlabel("""Frequency (Hz)"""	)
						plt.xscale("""log"""	)

						# Display within reasonable bounds
						A__					:       Union[str, Any]     =get_bounds(__snake_case,		__snake_case	)
						plt.ylim(max([-80, bounds[0]]	),		min([80, bounds[1]]	)	)
						plt.ylabel("""Gain (dB)"""	)

						plt.plot(__snake_case	)
						plt.show()
def 						__lowerCamelCase	(       __snake_case					:		FilterType,		__snake_case					:		int	)	->							None:






						"""simple docstring"""





						A__					:       List[Any]     =512
						A__					:       List[Any]     =[1] + [0] * (size - 1)
						A__					:       Dict     =[filter_type.process(__snake_case	) for item in inputs]

						A__					:       Union[str, Any]     =[0] * (samplerate - size)  # zero-padding
						outputs += filler
						A__					:       str     =np.angle(np.fft.fft(__snake_case	)	)

						# Frequencies on log scale from 24 to nyquist frequency
						plt.xlim(24,		samplerate / 2 - 1	)
						plt.xlabel("""Frequency (Hz)"""	)
						plt.xscale("""log"""	)

						plt.ylim(-2 * pi,		2 * pi	)
						plt.ylabel("""Phase shift (Radians)"""	)
						plt.plot(np.unwrap(__snake_case,		-2 * pi	)	)
						plt.show()

