


from __future__ import annotations

from math import pi
from typing import Protocol

import matplotlib.pyplot as plt
import numpy as np
class 				SCREAMING_SNAKE_CASE__						(       lowercase__    ):
      def  SCREAMING_SNAKE_CASE							( self       : str  ,							SCREAMING_SNAKE_CASE__       : float  )	->    float:
             return 0.0







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

       """simple docstring"""

       a_      :	str							=						min([-20, np.min(fft_results[1 : samplerate // 2 - 1]       )]       )
       a_      :	Optional[Any]							=						max([20, np.max(fft_results[1 : samplerate // 2 - 1]       )]       )
       return lowest, highest







def  SCREAMING_SNAKE_CASE_		(    __A				:    FilterType						,					__A				:    int       )			->	None:

       """simple docstring"""

       a_      :	str							=						5_12
       a_      :	Optional[Any]							=						[1] + [0] * (size - 1)
       a_      :	str							=						[filter_type.process(__A       ) for item in inputs]

       a_      :	Any							=						[0] * (samplerate - size)  # zero-padding
       outputs += filler
       a_      :	List[Any]							=						np.abs(np.fft.fft(__A       )       )
       a_      :	Dict							=						20 * np.logaa(__A       )

       # 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_      :	List[Any]							=						get_bounds(__A						,					__A       )
       plt.ylim(max([-80, bounds[0]]       )						,					min([80, bounds[1]]       )       )
       plt.ylabel('Gain (dB)'       )

       plt.plot(__A       )
       plt.show()







def  SCREAMING_SNAKE_CASE_		(    __A				:    FilterType						,					__A				:    int       )			->	None:

       """simple docstring"""

       a_      :	str							=						5_12
       a_      :	Any							=						[1] + [0] * (size - 1)
       a_      :	Any							=						[filter_type.process(__A       ) for item in inputs]

       a_      :	Dict							=						[0] * (samplerate - size)  # zero-padding
       outputs += filler
       a_      :	Dict							=						np.angle(np.fft.fft(__A       )       )

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






from .dependency_versions_table import deps
from .utils.versions import require_version, require_version_core


# define which module versions we always want to check at run time
# (usually the ones defined in `install_requires` in setup.py)
#
# order specific notes:
# - tqdm must be checked before tokenizers

UpperCAmelCase_   :				Dict						      = [
    'python',
    'tqdm',
    'regex',
    'requests',
    'packaging',
    'filelock',
    'numpy',
    'tokenizers',
    'huggingface-hub',
    'safetensors',
    'accelerate',
    'pyyaml',
]

for pkg in pkgs_to_check_at_runtime:
   if pkg in deps:
      if pkg == "tokenizers":
         # must be loaded here, or else tqdm check may fail
         from .utils import is_tokenizers_available

         if not is_tokenizers_available():
            continue  # not required, check version only if installed
      elif pkg == "accelerate":
         # must be loaded here, or else tqdm check may fail
         from .utils import is_accelerate_available

         # Maybe switch to is_torch_available in the future here so that Accelerate is hard dep of
         # Transformers with PyTorch
         if not is_accelerate_available():
            continue  # not required, check version only if installed

      require_version_core(deps[pkg])
   else:
      raise ValueError(F'can\'t find {pkg} in {deps.keys()}, check dependency_versions_table.py')







def  SCREAMING_SNAKE_CASE_		(    __A				:    Optional[Any]						,					__A				:    int=None       )			->	int:

       """simple docstring"""

       require_version(deps[pkg]						,					__A       )


