
'''simple docstring'''


import colorsys

from PIL import Image  # type: ignore



def  __snake_case     (    _UpperCAmelCase					:       float,      _UpperCAmelCase					:       float,      _UpperCAmelCase					:       int):
   UpperCamelCase       =  x
   UpperCamelCase       =  y
   for step in range(_UpperCAmelCase):  # noqa: B007
      UpperCamelCase       =  a * a - b * b + x
      UpperCamelCase       =  2 * a * b + y
      UpperCamelCase       =  a_new

      # divergence happens for all complex number with an absolute value
      # greater than 4
      if a * a + b * b > 4:
         break
   return step / (max_step - 1)



def  __snake_case     (    _UpperCAmelCase					:       float):
   if distance == 1:
      return (0, 0, 0)
   else:
      return (255, 255, 255)



def  __snake_case     (    _UpperCAmelCase					:       float):
   if distance == 1:
      return (0, 0, 0)
   else:
      return tuple(round(i * 255) for i in colorsys.hsv_to_rgb(_UpperCAmelCase,      1,      1))



def  __snake_case     (    _UpperCAmelCase					:       int = 800,      _UpperCAmelCase					:       int = 600,      _UpperCAmelCase					:       float = -0.6,      _UpperCAmelCase					:       float = 0,      _UpperCAmelCase					:       float = 3.2,      _UpperCAmelCase					:       int = 50,      _UpperCAmelCase					:       bool = True,      ):
   UpperCamelCase       =  Image.new('''RGB''',      (image_width, image_height))
   UpperCamelCase       =  img.load()

   # loop through the image-coordinates
   for image_x in range(_UpperCAmelCase):
      for image_y in range(_UpperCAmelCase):
         # determine the figure-coordinates based on the image-coordinates
         UpperCamelCase       =  figure_width / image_width * image_height
         UpperCamelCase       =  figure_center_x + (image_x / image_width - 0.5) * figure_width
         UpperCamelCase       =  figure_center_y + (image_y / image_height - 0.5) * figure_height

         UpperCamelCase       =  get_distance(_UpperCAmelCase,      _UpperCAmelCase,      _UpperCAmelCase)

         # color the corresponding pixel based on the selected coloring-function
         if use_distance_color_coding:
            UpperCamelCase       =  get_color_coded_rgb(_UpperCAmelCase)
         else:
            UpperCamelCase       =  get_black_and_white_rgb(_UpperCAmelCase)

   return img


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   # colored version, full figure
   snake_case_ :  List[str]     =					get_image()

   # uncomment for colored version, different section, zoomed in
   # img = get_image(figure_center_x = -0.6, figure_center_y = -0.4,
   # figure_width = 0.8)

   # uncomment for black and white version, full figure
   # img = get_image(use_distance_color_coding = False)

   # uncomment to save the image
   # img.save("mandelbrot.png")

   img.show()







'''simple docstring'''


import math
from typing import Optional

import numpy as np

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


snake_case_ :  Dict     =					logging.get_logger(__name__)

snake_case_ :  Union[str, Any]     =					{
    'facebook/encodec_24khz': 'https://huggingface.co/facebook/encodec_24khz/resolve/main/config.json',
    'facebook/encodec_48khz': 'https://huggingface.co/facebook/encodec_48khz/resolve/main/config.json',
}


class 						lowercase__	(  snake_case_   ):






   '''simple docstring'''







   _snake_case		   =							'''encodec'''







   def __init__(			self ,   lowerCamelCase__=[1.5, 3.0, 6.0, 12.0, 24.0] ,   lowerCamelCase__=2_4_0_0_0 ,   lowerCamelCase__=1 ,   lowerCamelCase__=False ,   lowerCamelCase__=None ,   lowerCamelCase__=None ,   lowerCamelCase__=1_2_8 ,   lowerCamelCase__=3_2 ,   lowerCamelCase__=1 ,   lowerCamelCase__=[8, 5, 4, 2] ,   lowerCamelCase__="weight_norm" ,   lowerCamelCase__=7 ,   lowerCamelCase__=7 ,   lowerCamelCase__=3 ,   lowerCamelCase__=2 ,   lowerCamelCase__=True ,   lowerCamelCase__="reflect" ,   lowerCamelCase__=2 ,   lowerCamelCase__=2 ,   lowerCamelCase__=1.0 ,   lowerCamelCase__=1_0_2_4 ,   lowerCamelCase__=None ,   lowerCamelCase__=True ,   **lowerCamelCase__ ,   ):

      '''simple docstring'''







      UpperCamelCase       =  target_bandwidths
      UpperCamelCase       =  sampling_rate
      UpperCamelCase       =  audio_channels
      UpperCamelCase       =  normalize
      UpperCamelCase       =  chunk_length_s
      UpperCamelCase       =  overlap
      UpperCamelCase       =  hidden_size
      UpperCamelCase       =  num_filters
      UpperCamelCase       =  num_residual_layers
      UpperCamelCase       =  upsampling_ratios
      UpperCamelCase       =  norm_type
      UpperCamelCase       =  kernel_size
      UpperCamelCase       =  last_kernel_size
      UpperCamelCase       =  residual_kernel_size
      UpperCamelCase       =  dilation_growth_rate
      UpperCamelCase       =  use_causal_conv
      UpperCamelCase       =  pad_mode
      UpperCamelCase       =  compress
      UpperCamelCase       =  num_lstm_layers
      UpperCamelCase       =  trim_right_ratio
      UpperCamelCase       =  codebook_size
      UpperCamelCase       =  codebook_dim if codebook_dim is not None else hidden_size
      UpperCamelCase       =  use_conv_shortcut

      if self.norm_type not in ["weight_norm", "time_group_norm"]:
         raise ValueError(
             f'self.norm_type must be one of `"weight_norm"`, `"time_group_norm"`), got {self.norm_type}'   )

      super().__init__(**lowerCamelCase__   )







   @property
   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      if self.chunk_length_s is None:
         return None
      else:
         return int(self.chunk_length_s * self.sampling_rate   )







   @property
   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      if self.chunk_length_s is None or self.overlap is None:
         return None
      else:
         return max(1 ,   int((1.0 - self.overlap) * self.chunk_length   )   )







   @property
   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      UpperCamelCase       =  np.prod(self.upsampling_ratios   )
      return math.ceil(self.sampling_rate / hop_length   )







   @property
   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      return int(1_0_0_0 * self.target_bandwidths[-1] // (self.frame_rate * 1_0)   )





