
import datetime
import platform
import subprocess
from typing import Optional, Tuple, Union

import numpy as np

def a__    (       A_,     A_					):






  '''simple docstring'''





  __magic_name__				     =       f'''{sampling_rate}'''
  __magic_name__				     =       """1"""
  __magic_name__				     =       """f32le"""
  __magic_name__				     =       [
      """ffmpeg""",
      """-i""",
      """pipe:0""",
      """-ac""",
      ac,
      """-ar""",
      ar,
      """-f""",
      format_for_conversion,
      """-hide_banner""",
      """-loglevel""",
      """quiet""",
      """pipe:1""",
  ]

  try:
    with subprocess.Popen(A_,     stdin=subprocess.PIPE,     stdout=subprocess.PIPE					) as ffmpeg_process:
      __magic_name__				     =       ffmpeg_process.communicate(A_					)
  except FileNotFoundError as error:
    raise ValueError("""ffmpeg was not found but is required to load audio files from filename"""					) from error
  __magic_name__				     =       output_stream[0]
  __magic_name__				     =       np.frombuffer(A_,     np.floataa					)
  if audio.shape[0] == 0:
    raise ValueError("""Malformed soundfile"""					)
  return audio

def a__    (       A_,     A_,     A_ = "f32le",     ):






  '''simple docstring'''





  __magic_name__				     =       f'''{sampling_rate}'''
  __magic_name__				     =       """1"""
  if format_for_conversion == "s16le":
    __magic_name__				     =       2
  elif format_for_conversion == "f32le":
    __magic_name__				     =       4
  else:
    raise ValueError(f'''Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`'''					)

  __magic_name__				     =       platform.system()
  if system == "Linux":
    __magic_name__				     =       """alsa"""
    __magic_name__				     =       """default"""
  elif system == "Darwin":
    __magic_name__				     =       """avfoundation"""
    __magic_name__				     =       """:0"""
  elif system == "Windows":
    __magic_name__				     =       """dshow"""
    __magic_name__				     =       """default"""

  __magic_name__				     =       [
      """ffmpeg""",
      """-f""",
      format_,
      """-i""",
      input_,
      """-ac""",
      ac,
      """-ar""",
      ar,
      """-f""",
      format_for_conversion,
      """-fflags""",
      """nobuffer""",
      """-hide_banner""",
      """-loglevel""",
      """quiet""",
      """pipe:1""",
  ]
  __magic_name__				     =       int(round(sampling_rate * chunk_length_s					)					) * size_of_sample
  __magic_name__				     =       _ffmpeg_stream(A_,     A_					)
  for item in iterator:
    yield item

def a__    (       A_,     A_,     A_ = None,     A_ = None,     A_ = "f32le",     ):






  '''simple docstring'''





  if stream_chunk_s is not None:
    __magic_name__				     =       stream_chunk_s
  else:
    __magic_name__				     =       chunk_length_s

  __magic_name__				     =       ffmpeg_microphone(A_,     A_,     format_for_conversion=A_					)
  if format_for_conversion == "s16le":
    __magic_name__				     =       np.intaa
    __magic_name__				     =       2
  elif format_for_conversion == "f32le":
    __magic_name__				     =       np.floataa
    __magic_name__				     =       4
  else:
    raise ValueError(f'''Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`'''					)

  if stride_length_s is None:
    __magic_name__				     =       chunk_length_s / 6
  __magic_name__				     =       int(round(sampling_rate * chunk_length_s					)					) * size_of_sample
  if isinstance(A_,     (int, float)					):
    __magic_name__				     =       [stride_length_s, stride_length_s]

  __magic_name__				     =       int(round(sampling_rate * stride_length_s[0]					)					) * size_of_sample
  __magic_name__				     =       int(round(sampling_rate * stride_length_s[1]					)					) * size_of_sample
  __magic_name__				     =       datetime.datetime.now()
  __magic_name__				     =       datetime.timedelta(seconds=A_					)
  for item in chunk_bytes_iter(A_,     A_,     stride=(stride_left, stride_right),     stream=A_					):
    # Put everything back in numpy scale
    __magic_name__				     =       np.frombuffer(item["""raw"""],     dtype=A_					)
    __magic_name__				     =       (
        item["""stride"""][0] // size_of_sample,
        item["""stride"""][1] // size_of_sample,
    )
    __magic_name__				     =       sampling_rate
    audio_time += delta
    if datetime.datetime.now() > audio_time + 10 * delta:
      # We're late !! SKIP
      continue
    yield item

def a__    (       A_,     A_,     A_,     A_ = False					):






  '''simple docstring'''





  __magic_name__				     =       b""""""
  __magic_name__     ,    __magic_name__				     =       stride
  if stride_left + stride_right >= chunk_len:
    raise ValueError(
        f'''Stride needs to be strictly smaller than chunk_len: ({stride_left}, {stride_right}) vs {chunk_len}'''					)
  __magic_name__				     =       0
  for raw in iterator:
    acc += raw
    if stream and len(A_					) < chunk_len:
      __magic_name__				     =       (_stride_left, 0)
      yield {"raw": acc[:chunk_len], "stride": stride, "partial": True}
    else:
      while len(A_					) >= chunk_len:
        # We are flushing the accumulator
        __magic_name__				     =       (_stride_left, stride_right)
        __magic_name__				     =       {"""raw""": acc[:chunk_len], """stride""": stride}
        if stream:
          __magic_name__				     =       False
        yield item
        __magic_name__				     =       stride_left
        __magic_name__				     =       acc[chunk_len - stride_left - stride_right :]
    # Last chunk
  if len(A_					) > stride_left:
    __magic_name__				     =       {"""raw""": acc, """stride""": (_stride_left, 0)}
    if stream:
      __magic_name__				     =       False
    yield item





def a__    (       A_,     A_					):






  '''simple docstring'''





  __magic_name__				     =       2**24  # 16Mo
  try:
    with subprocess.Popen(A_,     stdout=subprocess.PIPE,     bufsize=A_					) as ffmpeg_process:
      while True:
        __magic_name__				     =       ffmpeg_process.stdout.read(A_					)
        if raw == b"":
          break
        yield raw
  except FileNotFoundError as error:
    raise ValueError("""ffmpeg was not found but is required to stream audio files from filename"""					) from error



import string

# frequency taken from https://en.wikipedia.org/wiki/Letter_frequency
__lowerCAmelCase			:     Optional[int]           =   {
    'E': 12.70,
    'T': 9.06,
    'A': 8.17,
    'O': 7.51,
    'I': 6.97,
    'N': 6.75,
    'S': 6.33,
    'H': 6.09,
    'R': 5.99,
    'D': 4.25,
    'L': 4.03,
    'C': 2.78,
    'U': 2.76,
    'M': 2.41,
    'W': 2.36,
    'F': 2.23,
    'G': 2.02,
    'Y': 1.97,
    'P': 1.93,
    'B': 1.29,
    'V': 0.98,
    'K': 0.77,
    'J': 0.15,
    'X': 0.15,
    'Q': 0.10,
    'Z': 0.07,
}
__lowerCAmelCase			:     Optional[Any]           =   'ETAOINSHRDLCUMWFGYPBVKJXQZ'
__lowerCAmelCase			:     Optional[Any]           =   'ABCDEFGHIJKLMNOPQRSTUVWXYZ'

def a__    (       A_					):






  '''simple docstring'''





  __magic_name__				     =       {letter: 0 for letter in string.ascii_uppercase}
  for letter in message.upper():
    if letter in LETTERS:
      letter_count[letter] += 1

  return letter_count

def a__    (       A_					):






  '''simple docstring'''





  return x[0]

def a__    (       A_					):






  '''simple docstring'''





  __magic_name__				     =       get_letter_count(A_					)
  __magic_name__				     =       {
      freq: [] for letter, freq in letter_to_freq.items()
  }
  for letter in LETTERS:
    freq_to_letter[letter_to_freq[letter]].append(A_					)

  __magic_name__				     =       {}

  for freq in freq_to_letter:
    freq_to_letter[freq].sort(key=ETAOIN.find,     reverse=A_					)
    __magic_name__				     =       """""".join(freq_to_letter[freq]					)

  __magic_name__				     =       list(freq_to_letter_str.items()					)
  freq_pairs.sort(key=A_,     reverse=A_					)

  __magic_name__				     =       [freq_pair[1] for freq_pair in freq_pairs]

  return "".join(A_					)

def a__    (       A_					):






  '''simple docstring'''





  __magic_name__				     =       get_frequency_order(A_					)
  __magic_name__				     =       0
  for common_letter in ETAOIN[:6]:
    if common_letter in freq_order[:6]:
      match_score += 1

  for uncommon_letter in ETAOIN[-6:]:
    if uncommon_letter in freq_order[-6:]:
      match_score += 1

  return match_score


if __name__ == "__main__":
    import doctest

    doctest.testmod()

