





'''simple docstring'''


from __future__ import annotations

from math import pi
from typing import Protocol

import matplotlib.pyplot as plt
import numpy as np
class       a_   (				_lowerCAmelCase							):





     def 							lowercase__      ( self		:					List[str]	,      lowercase		:					float						):





        """simple docstring"""




        return 0.0







def 							UpperCAmelCase_  (						__lowerCamelCase					:					np.ndarray	,__lowerCamelCase					:					int ):
   lowercase_			:List[str]    			= min([-20, np.min(fft_results[1 : samplerate // 2 - 1] )] )
   lowercase_			:Union[str, Any]    			= max([20, np.max(fft_results[1 : samplerate // 2 - 1] )] )
   return lowest, highest
def 							UpperCAmelCase_  (						__lowerCamelCase					:					FilterType	,__lowerCamelCase					:					int ):
   lowercase_			:Tuple    			= 5_12
   lowercase_			:int    			= [1] + [0] * (size - 1)
   lowercase_			:str    			= [filter_type.process(__lowerCamelCase ) for item in inputs]

   lowercase_			:Tuple    			= [0] * (samplerate - size)  # zero-padding
   outputs += filler
   lowercase_			:Tuple    			= np.abs(np.fft.fft(__lowerCamelCase ) )
   lowercase_			:Optional[int]    			= 20 * np.logaa(__lowerCamelCase )

   # 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
   lowercase_			:Optional[Any]    			= get_bounds(__lowerCamelCase	,__lowerCamelCase )
   plt.ylim(max([-80, bounds[0]] )	,min([80, bounds[1]] ) )
   plt.ylabel("Gain (dB)" )

   plt.plot(__lowerCamelCase )
   plt.show()


def 							UpperCAmelCase_  (						__lowerCamelCase					:					FilterType	,__lowerCamelCase					:					int ):
   lowercase_			:int    			= 5_12
   lowercase_			:List[str]    			= [1] + [0] * (size - 1)
   lowercase_			:Optional[Any]    			= [filter_type.process(__lowerCamelCase ) for item in inputs]

   lowercase_			:str    			= [0] * (samplerate - size)  # zero-padding
   outputs += filler
   lowercase_			:int    			= np.angle(np.fft.fft(__lowerCamelCase ) )

   # 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(__lowerCamelCase	,-2 * pi ) )
   plt.show()









'''simple docstring'''


from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase					:     Optional[Any]												=logging.get_logger(__name__)

lowerCAmelCase					:     Tuple												={
    '''facebook/vit-mae-base''': '''https://huggingface.co/facebook/vit-mae-base/resolve/main/config.json''',
    # See all ViT MAE models at https://huggingface.co/models?filter=vit-mae
}
class       a_   (				_lowerCAmelCase							):
     __A      =			"vit_mae"





     def __init__( self		:					Any	,      lowercase		:					int=768	,      lowercase		:					Tuple=12	,      lowercase		:					str=12	,      lowercase		:					Optional[Any]=3_072	,      lowercase		:					List[Any]="gelu"	,      lowercase		:					Tuple=0.0	,      lowercase		:					Union[str, Any]=0.0	,      lowercase		:					str=0.02	,      lowercase		:					Optional[int]=1e-1_2	,      lowercase		:					List[Any]=224	,      lowercase		:					str=16	,      lowercase		:					List[str]=3	,      lowercase		:					Optional[Any]=True	,      lowercase		:					int=16	,      lowercase		:					Optional[Any]=512	,      lowercase		:					Optional[Any]=8	,      lowercase		:					Optional[Any]=2_048	,      lowercase		:					List[str]=0.75	,      lowercase		:					str=False	,      **lowercase		:					Union[str, Any]	,      ):





        """simple docstring"""




        super().__init__(**lowercase						)

        lowercase_			:Any    			= hidden_size
        lowercase_			:Optional[Any]    			= num_hidden_layers
        lowercase_			:Optional[Any]    			= num_attention_heads
        lowercase_			:int    			= intermediate_size
        lowercase_			:Optional[int]    			= hidden_act
        lowercase_			:str    			= hidden_dropout_prob
        lowercase_			:Optional[Any]    			= attention_probs_dropout_prob
        lowercase_			:str    			= initializer_range
        lowercase_			:Optional[int]    			= layer_norm_eps
        lowercase_			:str    			= image_size
        lowercase_			:Union[str, Any]    			= patch_size
        lowercase_			:Dict    			= num_channels
        lowercase_			:Any    			= qkv_bias
        lowercase_			:Optional[int]    			= decoder_num_attention_heads
        lowercase_			:Optional[Any]    			= decoder_hidden_size
        lowercase_			:Union[str, Any]    			= decoder_num_hidden_layers
        lowercase_			:List[Any]    			= decoder_intermediate_size
        lowercase_			:Optional[Any]    			= mask_ratio
        lowercase_			:Optional[Any]    			= norm_pix_loss


