"""simple docstring"""


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

import numpy as np






def      __UpperCAmelCase       (      lowercase ,lowercase		):







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

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






def      __UpperCAmelCase       (      lowercase ,lowercase ,lowercase = "f32le" ,):







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

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

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






def      __UpperCAmelCase       (      lowercase ,lowercase ,lowercase = None ,lowercase = None ,lowercase = "f32le" ,):







  """simple docstring"""
  if stream_chunk_s is not None:
    _UpperCAmelCase    			=   stream_chunk_s
  else:
    _UpperCAmelCase    			=   chunk_length_s

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

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

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






def      __UpperCAmelCase       (      lowercase ,lowercase ,lowercase ,lowercase = False		):







  """simple docstring"""
  _UpperCAmelCase    			=   B""""""
  _UpperCAmelCase			,					_UpperCAmelCase    			=   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}'''		)
  _UpperCAmelCase    			=   0
  for raw in iterator:
    acc += raw
    if stream and len(lowercase		) < chunk_len:
      _UpperCAmelCase    			=   (_stride_left, 0)
      yield {"raw": acc[:chunk_len], "stride": stride, "partial": True}
    else:
      while len(lowercase		) >= chunk_len:
        # We are flushing the accumulator
        _UpperCAmelCase    			=   (_stride_left, stride_right)
        _UpperCAmelCase    			=   {"""raw""": acc[:chunk_len], """stride""": stride}
        if stream:
          _UpperCAmelCase    			=   False
        yield item
        _UpperCAmelCase    			=   stride_left
        _UpperCAmelCase    			=   acc[chunk_len - stride_left - stride_right :]
    # Last chunk
  if len(lowercase		) > stride_left:
    _UpperCAmelCase    			=   {"""raw""": acc, """stride""": (_stride_left, 0)}
    if stream:
      _UpperCAmelCase    			=   False
    yield item






def      __UpperCAmelCase       (      lowercase ,lowercase		):







  """simple docstring"""
  _UpperCAmelCase    			=   2**24  # 16Mo
  try:
    with subprocess.Popen(lowercase ,stdout=subprocess.PIPE ,bufsize=lowercase		) as ffmpeg_process:
      while True:
        _UpperCAmelCase    			=   ffmpeg_process.stdout.read(lowercase		)
        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

"""simple docstring"""


from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

UpperCAmelCase__			=    {"""UserAgent""": UserAgent().random}






def      __UpperCAmelCase       (      lowercase		):







  """simple docstring"""
  _UpperCAmelCase    			=   script.contents[0]
  _UpperCAmelCase    			=   json.loads(data[data.find("""{\"config\""""		) : -1]		)
  return info["entry_data"]["ProfilePage"][0]["graphql"]["user"]


class 							a					:


    def __init__(       self						:	Any ,					__lowerCAmelCase						:	Union[str, Any]       ):
      _UpperCAmelCase    			=   f'''https://www.instagram.com/{username}/'''
      _UpperCAmelCase    			=   self.get_json()


    def   lowerCAmelCase_	(       self						:	int       ):
      _UpperCAmelCase    			=   requests.get(self.url ,					headers=__lowerCAmelCase       ).text
      _UpperCAmelCase    			=   BeautifulSoup(__lowerCAmelCase ,					"""html.parser"""       ).find_all("""script"""       )
      try:
        return extract_user_profile(scripts[4]       )
      except (json.decoder.JSONDecodeError, KeyError):
        return extract_user_profile(scripts[3]       )


    def __repr__(       self						:	Dict       ):
      return f'''{self.__class__.__name__}(\'{self.username}\')'''


    def __str__(       self						:	int       ):
      return f'''{self.fullname} ({self.username}) is {self.biography}'''


    @property
    def   lowerCAmelCase_	(       self						:	Union[str, Any]       ):
      return self.user_data["username"]


    @property
    def   lowerCAmelCase_	(       self						:	List[Any]       ):
      return self.user_data["full_name"]


    @property
    def   lowerCAmelCase_	(       self						:	str       ):
      return self.user_data["biography"]


    @property
    def   lowerCAmelCase_	(       self						:	str       ):
      return self.user_data["business_email"]


    @property
    def   lowerCAmelCase_	(       self						:	List[Any]       ):
      return self.user_data["external_url"]


    @property
    def   lowerCAmelCase_	(       self						:	int       ):
      return self.user_data["edge_followed_by"]["count"]


    @property
    def   lowerCAmelCase_	(       self						:	Tuple       ):
      return self.user_data["edge_follow"]["count"]


    @property
    def   lowerCAmelCase_	(       self						:	List[str]       ):
      return self.user_data["edge_owner_to_timeline_media"]["count"]


    @property
    def   lowerCAmelCase_	(       self						:	int       ):
      return self.user_data["profile_pic_url_hd"]


    @property
    def   lowerCAmelCase_	(       self						:	str       ):
      return self.user_data["is_verified"]


    @property
    def   lowerCAmelCase_	(       self						:	int       ):
      return self.user_data["is_private"]






def      __UpperCAmelCase       (      lowercase = "github"		):







  """simple docstring"""
  import os

  if os.environ.get("""CI"""		):
    return  # test failing on GitHub Actions
  _UpperCAmelCase    			=   InstagramUser(lowercase		)
  assert instagram_user.user_data
  assert isinstance(instagram_user.user_data ,lowercase		)
  assert instagram_user.username == username
  if username != "github":
    return
  assert instagram_user.fullname == "GitHub"
  assert instagram_user.biography == "Built for developers."
  assert instagram_user.number_of_posts > 1_50
  assert instagram_user.number_of_followers > 12_00_00
  assert instagram_user.number_of_followings > 15
  assert instagram_user.email == "support@github.com"
  assert instagram_user.website == "https://github.com/readme"
  assert instagram_user.profile_picture_url.startswith("""https://instagram."""		)
  assert instagram_user.is_verified is True
  assert instagram_user.is_private is False


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    UpperCAmelCase__			=    InstagramUser("""github""")
    print(instagram_user)
    print(F'''{instagram_user.number_of_posts = }''')
    print(F'''{instagram_user.number_of_followers = }''')
    print(F'''{instagram_user.number_of_followings = }''')
    print(F'''{instagram_user.email = }''')
    print(F'''{instagram_user.website = }''')
    print(F'''{instagram_user.profile_picture_url = }''')
    print(F'''{instagram_user.is_verified = }''')
    print(F'''{instagram_user.is_private = }''')
