





import os
import string
import sys


lowercase      :       Tuple									=  1 << 8

lowercase      :       Dict									=  {
    """tab""": ord("""\t"""),
    """newline""": ord("""\r"""),
    """esc""": 2_7,
    """up""": 6_5 + ARROW_KEY_FLAG,
    """down""": 6_6 + ARROW_KEY_FLAG,
    """right""": 6_7 + ARROW_KEY_FLAG,
    """left""": 6_8 + ARROW_KEY_FLAG,
    """mod_int""": 9_1,
    """undefined""": sys.maxsize,
    """interrupt""": 3,
    """insert""": 5_0,
    """delete""": 5_1,
    """pg_up""": 5_3,
    """pg_down""": 5_4,
}

lowercase      :       Optional[int]									=  KEYMAP["""up"""]
lowercase      :       List[str]									=  KEYMAP["""left"""]

if sys.platform == "win32":
    lowercase      :       Dict									=  []
    lowercase      :       Optional[int]									=  {
        b"""\xe0H""": KEYMAP["""up"""] - ARROW_KEY_FLAG,
        b"""\x00H""": KEYMAP["""up"""] - ARROW_KEY_FLAG,
        b"""\xe0P""": KEYMAP["""down"""] - ARROW_KEY_FLAG,
        b"""\x00P""": KEYMAP["""down"""] - ARROW_KEY_FLAG,
        b"""\xe0M""": KEYMAP["""right"""] - ARROW_KEY_FLAG,
        b"""\x00M""": KEYMAP["""right"""] - ARROW_KEY_FLAG,
        b"""\xe0K""": KEYMAP["""left"""] - ARROW_KEY_FLAG,
        b"""\x00K""": KEYMAP["""left"""] - ARROW_KEY_FLAG,
    }

for i in range(1_0):
    lowercase      :       List[str]									=  ord(str(i))



def A_	(		)  ->		int:
       if os.name == "nt":
              import msvcrt

              a__						:	Optional[int] =				'mbcs'
              # Flush the keyboard buffer
              while msvcrt.kbhit():
                     msvcrt.getch()
              if len(A__				) == 0:
                     # Read the keystroke
                     a__						:	int =				msvcrt.getch()

                     # If it is a prefix char, get second part
                     if ch in (b"\x00", b"\xe0"):
                            a__						:	Dict =				ch + msvcrt.getch()
                            # Translate actual Win chars to bullet char types
                            try:
                                   a__						:	Optional[Any] =				chr(WIN_KEYMAP[cha]				)
                                   WIN_CH_BUFFER.append(chr(KEYMAP['mod_int']				)				)
                                   WIN_CH_BUFFER.append(A__				)
                                   if ord(A__				) in (
                                       KEYMAP["insert"] - 1 << 9,
                                       KEYMAP["delete"] - 1 << 9,
                                       KEYMAP["pg_up"] - 1 << 9,
                                       KEYMAP["pg_down"] - 1 << 9,
                                   ):
                                          WIN_CH_BUFFER.append(chr(126				)				)
                                   a__						:	List[Any] =				chr(KEYMAP['esc']				)
                            except KeyError:
                                   a__						:	Tuple =				cha[1]
                     else:
                            a__						:	Union[str, Any] =				ch.decode(A__				)
              else:
                     a__						:	Any =				WIN_CH_BUFFER.pop(0				)
       elif os.name == "posix":
              import termios
              import tty

              a__						:	List[Any] =				sys.stdin.fileno()
              a__						:	Any =				termios.tcgetattr(A__				)
              try:
                     tty.setraw(A__				)
                     a__						:	Optional[int] =				sys.stdin.read(1				)
              finally:
                     termios.tcsetattr(A__		,      termios.TCSADRAIN		,      A__				)
       return ch



def A_	(		)  ->		List[Any]:
       a__						:	Union[str, Any] =				get_raw_chars()
       if ord(A__				) in [KEYMAP["interrupt"], KEYMAP["newline"]]:
              return char

       elif ord(A__				) == KEYMAP["esc"]:
              a__						:	Any =				get_raw_chars()
              if ord(A__				) == KEYMAP["mod_int"]:
                     a__						:	Dict =				get_raw_chars()
                     if ord(A__				) >= KEYMAP["arrow_begin"] - ARROW_KEY_FLAG and ord(A__				) <= KEYMAP["arrow_end"] - ARROW_KEY_FLAG:
                            return chr(ord(A__				) + ARROW_KEY_FLAG				)
                     else:
                            return KEYMAP["undefined"]
              else:
                     return get_raw_chars()

       else:
              if char in string.printable:
                     return char
              else:
                     return KEYMAP["undefined"]









from typing import List, Optional, Tuple, Union

import torch

from ...utils import logging, randn_tensor
from ..pipeline_utils import AudioPipelineOutput, DiffusionPipeline


lowercase      :       Any									=  logging.get_logger(__name__)  # pylint: disable=invalid-name





class  A__    (							__UpperCAmelCase	):




   """simple docstring"""



   def __init__(					self					,  lowercase					,  lowercase)			->						Optional[Any]:







          '''simple docstring'''

          super().__init__()
          self.register_modules(unet=lowercase					,  scheduler=lowercase)

   @torch.no_grad()
   def __call__(					self					,  lowercase = 1					,  lowercase = 100					,  lowercase = None					,  lowercase = None					,  lowercase = True					,  )			->						Union[AudioPipelineOutput, Tuple]:







          '''simple docstring'''

          if audio_length_in_s is None:
                 a__						:	Optional[int] =				self.unet.config.sample_size / self.unet.config.sample_rate

          a__						:	int =				audio_length_in_s * self.unet.config.sample_rate

          a__						:	Union[str, Any] =				2 ** len(self.unet.up_blocks)
          if sample_size < 3 * down_scale_factor:
                 raise ValueError(
                     F'{audio_length_in_s} is too small. Make sure it\'s bigger or equal to'
                     F' {3 * down_scale_factor / self.unet.config.sample_rate}.')

          a__						:	str =				int(lowercase)
          if sample_size % down_scale_factor != 0:
                 a__						:	List[str] =				(
                     (audio_length_in_s * self.unet.config.sample_rate) // down_scale_factor + 1
                 ) * down_scale_factor
                 logger.info(
                     F'{audio_length_in_s} is increased to {sample_size / self.unet.config.sample_rate} so that it can be handled'
                     F' by the model. It will be cut to {original_sample_size / self.unet.config.sample_rate} after the denoising'
                     ' process.')
          a__						:	List[Any] =				int(lowercase)

          a__						:	int =				next(iter(self.unet.parameters())).dtype
          a__						:	Tuple =				(batch_size, self.unet.config.in_channels, sample_size)
          if isinstance(lowercase					,  lowercase) and len(lowercase) != batch_size:
                 raise ValueError(
                     F'You have passed a list of generators of length {len(lowercase)}, but requested an effective batch'
                     F' size of {batch_size}. Make sure the batch size matches the length of the generators.')

          a__						:	Optional[Any] =				randn_tensor(lowercase					,  generator=lowercase					,  device=self.device					,  dtype=lowercase)

          # set step values
          self.scheduler.set_timesteps(lowercase					,  device=audio.device)
          a__						:	Union[str, Any] =				self.scheduler.timesteps.to(lowercase)

          for t in self.progress_bar(self.scheduler.timesteps):
                 # 1. predict noise model_output
                 a__						:	Dict =				self.unet(lowercase					,  lowercase).sample

                 # 2. compute previous image: x_t -> t_t-1
                 a__						:	Any =				self.scheduler.step(lowercase					,  lowercase					,  lowercase).prev_sample

          a__						:	str =				audio.clamp(-1					,  1).float().cpu().numpy()

          a__						:	List[Any] =				audio[:, :, :original_sample_size]

          if not return_dict:
                 return (audio,)

          return AudioPipelineOutput(audios=lowercase)


