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introduce ffprobe and ffprobe_builder (#1182)
* introduce ffprobe and ffprobe_builder Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a * introduce ffprobe and ffprobe_builder Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Tbcd6VWCiU4BQP1gywPr2a --------- Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
co-authored by
Claude Opus 4.8
parent
a1e9a4180b
commit
fe4aedec4d
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import subprocess
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from typing import Dict, List
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from facefusion import ffprobe_builder
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from facefusion.types import AudioMetadata, Buffer, Command, Fps, VideoMetadata
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def run_ffprobe(commands : List[Command]) -> subprocess.Popen[Buffer]:
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commands = ffprobe_builder.run(commands)
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return subprocess.Popen(commands, stderr = subprocess.PIPE, stdout = subprocess.PIPE)
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def probe_entries(media_path : str, entries : List[str]) -> Dict[str, str]:
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media_entries = {}
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commands = ffprobe_builder.chain(
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ffprobe_builder.show_entries(entries),
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ffprobe_builder.format_to_key_value(),
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ffprobe_builder.set_input(media_path)
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)
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output, _ = run_ffprobe(commands).communicate()
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if output:
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lines = output.decode().strip().splitlines()
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for line in lines:
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if '=' in line:
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key, value = line.split('=', 1)
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media_entries[key] = value
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return media_entries
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def extract_audio_metadata(audio_path : str) -> AudioMetadata:
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audio_entries = probe_entries(audio_path, [ 'duration', 'sample_rate', 'channels', 'bit_rate' ])
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duration = float(audio_entries.get('duration'))
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sample_rate = int(audio_entries.get('sample_rate'))
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frame_total = int(duration * sample_rate)
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channel_total = int(audio_entries.get('channels'))
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bit_rate = int(audio_entries.get('bit_rate'))
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audio_metadata : AudioMetadata =\
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{
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'duration' : duration,
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'frame_total' : frame_total,
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'channel_total' : channel_total,
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'sample_rate' : sample_rate,
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'bit_rate' : bit_rate
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}
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return audio_metadata
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def extract_video_metadata(video_path : str) -> VideoMetadata:
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video_entries = probe_entries(video_path, [ 'duration', 'width', 'height', 'r_frame_rate', 'bit_rate' ])
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duration = float(video_entries.get('duration'))
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fps = extract_video_fps(video_entries.get('r_frame_rate'))
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frame_total = int(duration * fps)
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width = int(video_entries.get('width'))
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height = int(video_entries.get('height'))
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bit_rate = int(video_entries.get('bit_rate'))
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video_metadata : VideoMetadata =\
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{
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'duration' : duration,
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'frame_total' : frame_total,
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'fps' : fps,
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'resolution' : (width, height),
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'bit_rate' : bit_rate
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}
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return video_metadata
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def extract_video_fps(frame_rate : str) -> Fps:
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if frame_rate and '/' in frame_rate:
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numerator, denominator = frame_rate.split('/')
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if int(numerator) and int(denominator):
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return int(numerator) / int(denominator)
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return 0.0
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@@ -0,0 +1,25 @@
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import itertools
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import shutil
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from typing import List
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from facefusion.types import Command
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def run(commands : List[Command]) -> List[Command]:
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return [ shutil.which('ffprobe'), '-loglevel', 'error' ] + commands
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def chain(*commands : List[Command]) -> List[Command]:
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return list(itertools.chain(*commands))
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def show_entries(entries : List[str]) -> List[Command]:
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return [ '-show_entries', 'stream=' + ','.join(entries) ]
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def format_to_key_value() -> List[Command]:
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return [ '-of', 'default=noprint_wrappers=1' ]
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def set_input(input_path : str) -> List[Command]:
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return [ '-i', input_path ]
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@@ -95,13 +95,33 @@ MelFilterBank : TypeAlias = NDArray[Any]
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Voice : TypeAlias = NDArray[Any]
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Voice : TypeAlias = NDArray[Any]
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VoiceChunk : TypeAlias = NDArray[Any]
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VoiceChunk : TypeAlias = NDArray[Any]
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BitRate : TypeAlias = int
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SampleRate : TypeAlias = int
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Fps : TypeAlias = float
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Fps : TypeAlias = float
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Duration : TypeAlias = float
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Duration : TypeAlias = float
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Buffer : TypeAlias = bytes
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Color : TypeAlias = Tuple[int, int, int, int]
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Color : TypeAlias = Tuple[int, int, int, int]
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Padding : TypeAlias = Tuple[int, int, int, int]
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Padding : TypeAlias = Tuple[int, int, int, int]
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Margin : TypeAlias = Tuple[int, int, int, int]
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Margin : TypeAlias = Tuple[int, int, int, int]
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Orientation = Literal['landscape', 'portrait']
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Orientation = Literal['landscape', 'portrait']
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Resolution : TypeAlias = Tuple[int, int]
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Resolution : TypeAlias = Tuple[int, int]
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AudioMetadata = TypedDict('AudioMetadata',
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{
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'duration' : Duration,
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'frame_total' : int,
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'channel_total' : int,
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'sample_rate' : SampleRate,
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'bit_rate' : BitRate
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})
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VideoMetadata = TypedDict('VideoMetadata',
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{
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'duration' : Duration,
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'frame_total' : int,
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'fps' : Fps,
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'resolution' : Resolution,
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'bit_rate' : BitRate
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})
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ProcessState = Literal['checking', 'processing', 'stopping', 'pending']
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ProcessState = Literal['checking', 'processing', 'stopping', 'pending']
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Args : TypeAlias = Dict[str, Any]
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Args : TypeAlias = Dict[str, Any]
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@@ -0,0 +1,53 @@
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import subprocess
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import pytest
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from facefusion import process_manager
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from facefusion.download import conditional_download
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from facefusion.ffprobe import extract_audio_metadata, extract_video_metadata
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from .helper import get_test_example_file, get_test_examples_directory
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@pytest.fixture(scope = 'module', autouse = True)
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def before_all() -> None:
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process_manager.start()
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conditional_download(get_test_examples_directory(),
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[
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'https://github.com/facefusion/facefusion-assets/releases/download/examples-3.0.0/source.mp3',
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'https://github.com/facefusion/facefusion-assets/releases/download/examples-3.0.0/target-240p.mp4'
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])
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subprocess.run([ 'ffmpeg', '-i', get_test_example_file('source.mp3'), '-t', '1.9', '-ar', '48000', '-ac', '2', get_test_example_file('source-48000khz-2ch.wav') ])
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subprocess.run([ 'ffmpeg', '-i', get_test_example_file('target-240p.mp4'), '-t', '1', get_test_example_file('target-240p-1s.mov') ])
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def test_extract_audio_metadata() -> None:
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audio_metadata = extract_audio_metadata(get_test_example_file('source.mp3'))
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assert audio_metadata.get('sample_rate') == 44100
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assert audio_metadata.get('channel_total') == 1
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assert audio_metadata.get('frame_total') == 167039
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assert audio_metadata.get('bit_rate') == 128000
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audio_metadata = extract_audio_metadata(get_test_example_file('source-48000khz-2ch.wav'))
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assert audio_metadata.get('sample_rate') == 48000
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assert audio_metadata.get('channel_total') == 2
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assert audio_metadata.get('frame_total') == 91200
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assert audio_metadata.get('bit_rate') == 1536000
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def test_extract_video_metadata() -> None:
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video_metadata = extract_video_metadata(get_test_example_file('target-240p.mp4'))
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assert video_metadata.get('fps') == 25.0
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assert video_metadata.get('duration') == 10.8
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assert video_metadata.get('resolution') == (426, 226)
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assert video_metadata.get('bit_rate') == 138754
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video_metadata = extract_video_metadata(get_test_example_file('target-240p-1s.mov'))
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assert video_metadata.get('fps') == 25.0
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assert video_metadata.get('duration') == 1.0
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assert video_metadata.get('resolution') == (426, 226)
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from shutil import which
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from facefusion import ffprobe_builder
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from facefusion.ffprobe_builder import chain, format_to_key_value, run, set_input, show_entries
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def test_run() -> None:
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assert run([ '-v', 'error' ]) == [ which('ffprobe'), '-loglevel', 'error', '-v', 'error' ]
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def test_chain() -> None:
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assert chain(
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ffprobe_builder.show_entries([ 'sample_rate' ]),
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ffprobe_builder.format_to_key_value(),
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ffprobe_builder.set_input('audio.mp3')
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) == [ '-show_entries', 'stream=sample_rate', '-of', 'default=noprint_wrappers=1', '-i', 'audio.mp3' ]
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def test_show_entries() -> None:
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assert show_entries([ 'duration' ]) == [ '-show_entries', 'stream=duration' ]
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assert show_entries([ 'duration', 'sample_rate']) == [ '-show_entries', 'stream=duration,sample_rate' ]
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def test_format_to_key_value() -> None:
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assert format_to_key_value() == [ '-of', 'default=noprint_wrappers=1' ]
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def test_set_input() -> None:
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assert set_input('input.mp3') == [ '-i', 'input.mp3' ]
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assert set_input('input.wav') == [ '-i', 'input.wav' ]
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