


__UpperCAmelCase			:			Dict			      =					[0.33, 0.44, 0.55, 0.44, 0.33]
__UpperCAmelCase			:			str			      =					3
__UpperCAmelCase			:			Any			      =					5

# Buffer Space (with Parameters Space)
__UpperCAmelCase			:			list[float]			      =					[]
__UpperCAmelCase			:			list[float]			      =					[]

# Machine Time
__UpperCAmelCase			:			Tuple			      =					0


def   a						(				SCREAMING_SNAKE_CASE_   :		List[Any]							):






       """simple docstring"""





       global buffer_space, params_space, machine_time, K, m, t

       # Choosing Dynamical Systems (All)
       for key, value in enumerate(SCREAMING_SNAKE_CASE_							):
              # Evolution Parameter
              UpperCamelCase     :						str 						=		float(seed / value							)

              # Control Theory: Orbit Change
              UpperCamelCase     :						str 						=		(buffer_space[(key + 1) % m] + e) % 1

              # Control Theory: Trajectory Change
              UpperCamelCase     :						Optional[int] 						=		(params_space[key] + e) % 1 + 3

              # Modification (Transition Function) - Jumps
              UpperCamelCase     :						Dict 						=		round(float(r * value * (1 - value)							)				,      1_0							)
              UpperCamelCase     :						List[str] 						=		r  # Saving to Parameters Space

       # Logistic Map
       assert max(SCREAMING_SNAKE_CASE_							) < 1
       assert max(SCREAMING_SNAKE_CASE_							) < 4

       # Machine Time
       machine_time += 1


def   a						(				):






       """simple docstring"""





       global buffer_space, params_space, machine_time, K, m, t

       # PRNG (Xorshift by George Marsaglia)
       def xorshift(SCREAMING_SNAKE_CASE_   :		Tuple				,      SCREAMING_SNAKE_CASE_   :		Dict							):
              x ^= y >> 1_3
              y ^= x << 1_7
              x ^= y >> 5
              return x

       # Choosing Dynamical Systems (Increment)
       UpperCamelCase     :						Union[str, Any] 						=		machine_time % m

       # Evolution (Time Length)
       for _ in range(0				,      SCREAMING_SNAKE_CASE_							):
              # Variables (Position + Parameters)
              UpperCamelCase     :						Any 						=		params_space[key]
              UpperCamelCase     :						int 						=		buffer_space[key]

              # Modification (Transition Function) - Flow
              UpperCamelCase     :						Tuple 						=		round(float(r * value * (1 - value)							)				,      1_0							)
              UpperCamelCase     :						Dict 						=		(machine_time * 0.01 + r * 1.01) % 1 + 3

       # Choosing Chaotic Data
       UpperCamelCase     :						List[str] 						=		int(buffer_space[(key + 2) % m] * (1_0**1_0)							)
       UpperCamelCase     :						Optional[int] 						=		int(buffer_space[(key - 2) % m] * (1_0**1_0)							)

       # Machine Time
       machine_time += 1

       return xorshift(SCREAMING_SNAKE_CASE_				,      SCREAMING_SNAKE_CASE_							) % 0xf_f_f_f_f_f_f_f


def   a						(				):






       """simple docstring"""





       global buffer_space, params_space, machine_time, K, m, t

       UpperCamelCase     :						Optional[int] 						=		K
       UpperCamelCase     :						Union[str, Any] 						=		[0] * m
       UpperCamelCase     :						str 						=		0


if __name__ == "__main__":
  # Initialization
  reset()

  # Pushing Data (Input)
  import random

  __UpperCAmelCase			:			str			      =					random.sample(range(0Xf_f_f_f_f_f_f_f), 100)
  for chunk in message:
    push(chunk)

  # for controlling
  __UpperCAmelCase			:			Optional[Any]			      =					""

  # Pulling Data (Output)
  while inp in ("e", "E"):
    print(f'''{format(pull(), '#04x')}''')
    print(buffer_space)
    print(params_space)
    __UpperCAmelCase			:			Optional[Any]			      =					input("(e)exit? ").strip()





import numpy as np  # noqa: E402

from ...configuration_utils import ConfigMixin, register_to_config
from ...schedulers.scheduling_utils import SchedulerMixin


try:
  import librosa  # noqa: E402

  __UpperCAmelCase			:			Union[str, Any]			      =					True
  __UpperCAmelCase			:			Optional[int]			      =					""
except Exception as e:
  __UpperCAmelCase			:			Union[str, Any]			      =					False
  __UpperCAmelCase			:			Tuple			      =					(
      f'''Cannot import librosa because {e}. Make sure to correctly install librosa to be able to install it.'''
  )


from PIL import Image  # noqa: E402



class  UpperCAmelCase_						(				_a,  _a):
       '''simple docstring'''
       __UpperCamelCase   :  Tuple				=       "mel_config.json"






       @register_to_config
       def __init__(  self			,       __SCREAMING_SNAKE_CASE = 256			,       __SCREAMING_SNAKE_CASE = 256			,       __SCREAMING_SNAKE_CASE = 22_050			,       __SCREAMING_SNAKE_CASE = 2_048			,       __SCREAMING_SNAKE_CASE = 512			,       __SCREAMING_SNAKE_CASE = 80			,       __SCREAMING_SNAKE_CASE = 32			,       ):




              """simple docstring"""




              UpperCamelCase     :						Union[str, Any] 						=		hop_length
              UpperCamelCase     :						List[str] 						=		sample_rate
              UpperCamelCase     :						List[Any] 						=		n_fft
              UpperCamelCase     :						List[str] 						=		top_db
              UpperCamelCase     :						Tuple 						=		n_iter
              self.set_resolution(__SCREAMING_SNAKE_CASE			,       __SCREAMING_SNAKE_CASE    )
              UpperCamelCase     :						Any 						=		None

              if not _librosa_can_be_imported:
                     raise ValueError(_import_error    )






       def 			_lowercase (  self			,       __SCREAMING_SNAKE_CASE			,       __SCREAMING_SNAKE_CASE    ):




              """simple docstring"""




              UpperCamelCase     :						Any 						=		x_res
              UpperCamelCase     :						Union[str, Any] 						=		y_res
              UpperCamelCase     :						Any 						=		self.y_res
              UpperCamelCase     :						Union[str, Any] 						=		self.x_res * self.hop_length - 1






       def 			_lowercase (  self			,       __SCREAMING_SNAKE_CASE = None			,       __SCREAMING_SNAKE_CASE = None    ):




              """simple docstring"""




              if audio_file is not None:
                     UpperCamelCase						,			UpperCamelCase     :						Tuple 						=		librosa.load(__SCREAMING_SNAKE_CASE			,       mono=__SCREAMING_SNAKE_CASE			,       sr=self.sr    )
              else:
                     UpperCamelCase     :						Tuple 						=		raw_audio

              # Pad with silence if necessary.
              if len(self.audio    ) < self.x_res * self.hop_length:
                     UpperCamelCase     :						List[str] 						=		np.concatenate([self.audio, np.zeros((self.x_res * self.hop_length - len(self.audio    ),)    )]    )






       def 			_lowercase (  self    ):




              """simple docstring"""




              return len(self.audio    ) // self.slice_size






       def 			_lowercase (  self			,       __SCREAMING_SNAKE_CASE = 0    ):




              """simple docstring"""




              return self.audio[self.slice_size * slice : self.slice_size * (slice + 1)]






       def 			_lowercase (  self    ):




              """simple docstring"""




              return self.sr






       def 			_lowercase (  self			,       __SCREAMING_SNAKE_CASE    ):




              """simple docstring"""




              UpperCamelCase     :						List[str] 						=		librosa.feature.melspectrogram(
                  y=self.get_audio_slice(__SCREAMING_SNAKE_CASE    )			,       sr=self.sr			,       n_fft=self.n_fft			,       hop_length=self.hop_length			,       n_mels=self.n_mels    )
              UpperCamelCase     :						Optional[int] 						=		librosa.power_to_db(__SCREAMING_SNAKE_CASE			,       ref=np.max			,       top_db=self.top_db    )
              UpperCamelCase     :						Optional[int] 						=		(((log_S + self.top_db) * 255 / self.top_db).clip(0			,       255    ) + 0.5).astype(np.uinta    )
              UpperCamelCase     :						List[Any] 						=		Image.fromarray(__SCREAMING_SNAKE_CASE    )
              return image






       def 			_lowercase (  self			,       __SCREAMING_SNAKE_CASE    ):




              """simple docstring"""




              UpperCamelCase     :						int 						=		np.frombuffer(image.tobytes()			,       dtype='''uint8'''    ).reshape((image.height, image.width)    )
              UpperCamelCase     :						Tuple 						=		bytedata.astype('''float'''    ) * self.top_db / 255 - self.top_db
              UpperCamelCase     :						List[Any] 						=		librosa.db_to_power(__SCREAMING_SNAKE_CASE    )
              UpperCamelCase     :						Optional[int] 						=		librosa.feature.inverse.mel_to_audio(
                  __SCREAMING_SNAKE_CASE			,       sr=self.sr			,       n_fft=self.n_fft			,       hop_length=self.hop_length			,       n_iter=self.n_iter    )
              return audio

