


"""simple docstring"""







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

import numpy as np
def _A						(						lowercase       ,    lowercase		):







    """simple docstring"""
    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 _A						(						lowercase       ,    lowercase       ,    lowercase = "f32le"       ,    ):







    """simple docstring"""
    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 _A						(						lowercase       ,    lowercase       ,    lowercase = None       ,    lowercase = None       ,    lowercase = "f32le"       ,    ):







    """simple docstring"""





    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 _A						(						lowercase       ,    lowercase       ,    lowercase       ,    lowercase = False		):







    """simple docstring"""
    a 		=B''''''
    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 _A						(						lowercase       ,    lowercase		):







    """simple docstring"""
    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




import qiskit

def        a						(      _UpperCAmelCase							:					int ,   _UpperCAmelCase							:					int						):







		'''simple docstring'''





		__UpperCAmelCase    :     List[str]													=	qiskit.Aer.get_backend('''aer_simulator'''						)

		__UpperCAmelCase    :     Optional[Any]													=	qiskit.QuantumCircuit(4 ,   2						)
		# encode inputs in qubits 0 and 1
		if bita == 1:
				qc_ha.x(0						)
		if bita == 1:
				qc_ha.x(1						)
		qc_ha.barrier()

		# use cnots to write XOR of the inputs on qubit2
		qc_ha.cx(0 ,   2						)
		qc_ha.cx(1 ,   2						)

		# use ccx / toffoli gate to write AND of the inputs on qubit3
		qc_ha.ccx(0 ,   1 ,   3						)
		qc_ha.barrier()

		# extract outputs
		qc_ha.measure(2 ,   0						)  # extract XOR value
		qc_ha.measure(3 ,   1						)  # extract AND value

		# Execute the circuit on the qasm simulator
		__UpperCAmelCase    :     str													=	qiskit.execute(_UpperCAmelCase ,   _UpperCAmelCase ,   shots=10_00						)

		# Return the histogram data of the results of the experiment
		return job.result().get_counts(_UpperCAmelCase						)


if __name__ == "__main__":
				__A   			=half_adder(1, 1)
				print(f'''Half Adder Output Qubit Counts: {counts}''')





