



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

import numpy as np





def      __snake_case	(			_UpperCAmelCase   , _UpperCAmelCase				):
    __a						       =				f'{sampling_rate}'
    __a						       =				'''1'''
    __a						       =				'''f32le'''
    __a						       =				[
        '''ffmpeg''',
        '''-i''',
        '''pipe:0''',
        '''-ac''',
        ac,
        '''-ar''',
        ar,
        '''-f''',
        format_for_conversion,
        '''-hide_banner''',
        '''-loglevel''',
        '''quiet''',
        '''pipe:1''',
    ]

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





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

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

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





def      __snake_case	(			_UpperCAmelCase   , _UpperCAmelCase   , _UpperCAmelCase = None   , _UpperCAmelCase = None   , _UpperCAmelCase = "f32le"   , ):
    if stream_chunk_s is not None:
        __a						       =				stream_chunk_s
    else:
        __a						       =				chunk_length_s

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

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

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





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





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



import requests

a_ =			""""""  # <-- Put your OpenWeatherMap appid here!
a_ =			"""https://api.openweathermap.org/data/2.5/"""







def 		__lowercase     (   snake_case_  :  str = "Chicago"				,snake_case_  :  str = APPID						)   ->dict:



    '''simple docstring'''







    return requests.get(URL_BASE + '''weather'''				,params=locals()						).json()







def 		__lowercase     (   snake_case_  :  str = "Kolkata, India"				,snake_case_  :  str = APPID						)   ->dict:



    '''simple docstring'''







    return requests.get(URL_BASE + '''forecast'''				,params=locals()						).json()







def 		__lowercase     (   snake_case_  :  float = 55.68				,snake_case_  :  float = 12.57				,snake_case_  :  str = APPID						)   ->dict:



    '''simple docstring'''







    return requests.get(URL_BASE + '''onecall'''				,params=locals()						).json()


if __name__ == "__main__":
       from pprint import pprint

       while True:
              a_ =			input("""Enter a location:""").strip()
              if location:
                     pprint(current_weather(location))
              else:
                     break




