From 910c0ef10ee673941f403974522fd44903d9933e Mon Sep 17 00:00:00 2001 From: Werner Robitza Date: Sun, 15 Dec 2024 20:51:27 +0100 Subject: [PATCH] Bump version to 1.31.0 --- CHANGELOG.md | 15 + docs/ffmpeg_normalize.html | 1054 ++++++++++++++++++---------------- docs/search.js | 2 +- ffmpeg_normalize/_version.py | 2 +- 4 files changed, 568 insertions(+), 505 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 0cb755b..fbd55f6 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,6 +1,21 @@ # Changelog +## v1.31.0 (2024-12-15) + +* Update docs and completions. + +* Implement `--auto-lower-loudness-target` + +* Fix deprecations and mypy --strict errors. + +* Feat: add completions. + +* Docs: update explainer. + +* Docs: update docs to include lower-only. + + ## v1.30.0 (2024-11-22) * Change lower-only message to warning. diff --git a/docs/ffmpeg_normalize.html b/docs/ffmpeg_normalize.html index 81d8e87..3b77a99 100644 --- a/docs/ffmpeg_normalize.html +++ b/docs/ffmpeg_normalize.html @@ -59,6 +59,9 @@

API Documentation

  • lower_only
    • +
  • + auto_lower_loudness_target +
  • dual_mono
    • @@ -334,207 +337,210 @@

    62 true_peak (float, optional): True peak. Defaults to -2.0. 63 offset (float, optional): Offset. Defaults to 0.0. 64 lower_only (bool, optional): Whether the audio should not increase in loudness. Defaults to False. - 65 dual_mono (bool, optional): Dual mono. Defaults to False. - 66 dynamic (bool, optional): Dynamic. Defaults to False. - 67 audio_codec (str, optional): Audio codec. Defaults to "pcm_s16le". - 68 audio_bitrate (float, optional): Audio bitrate. Defaults to None. - 69 sample_rate (int, optional): Sample rate. Defaults to None. - 70 audio_channels (int | None, optional): Audio channels. Defaults to None. - 71 keep_original_audio (bool, optional): Keep original audio. Defaults to False. - 72 pre_filter (str, optional): Pre filter. Defaults to None. - 73 post_filter (str, optional): Post filter. Defaults to None. - 74 video_codec (str, optional): Video codec. Defaults to "copy". - 75 video_disable (bool, optional): Disable video. Defaults to False. - 76 subtitle_disable (bool, optional): Disable subtitles. Defaults to False. - 77 metadata_disable (bool, optional): Disable metadata. Defaults to False. - 78 chapters_disable (bool, optional): Disable chapters. Defaults to False. - 79 extra_input_options (list, optional): Extra input options. Defaults to None. - 80 extra_output_options (list, optional): Extra output options. Defaults to None. - 81 output_format (str, optional): Output format. Defaults to None. - 82 dry_run (bool, optional): Dry run. Defaults to False. - 83 debug (bool, optional): Debug. Defaults to False. - 84 progress (bool, optional): Progress. Defaults to False. - 85 - 86 Raises: - 87 FFmpegNormalizeError: If the ffmpeg executable is not found or does not support the loudnorm filter. - 88 """ - 89 - 90 def __init__( - 91 self, - 92 normalization_type: Literal["ebu", "rms", "peak"] = "ebu", - 93 target_level: float = -23.0, - 94 print_stats: bool = False, - 95 # threshold=0.5, - 96 loudness_range_target: float = 7.0, - 97 keep_loudness_range_target: bool = False, - 98 keep_lra_above_loudness_range_target: bool = False, - 99 true_peak: float = -2.0, -100 offset: float = 0.0, -101 lower_only: bool = False, -102 dual_mono: bool = False, -103 dynamic: bool = False, -104 audio_codec: str = "pcm_s16le", -105 audio_bitrate: float | None = None, -106 sample_rate: float | int | None = None, -107 audio_channels: int | None = None, -108 keep_original_audio: bool = False, -109 pre_filter: str | None = None, -110 post_filter: str | None = None, -111 video_codec: str = "copy", -112 video_disable: bool = False, -113 subtitle_disable: bool = False, -114 metadata_disable: bool = False, -115 chapters_disable: bool = False, -116 extra_input_options: list[str] | None = None, -117 extra_output_options: list[str] | None = None, -118 output_format: str | None = None, -119 dry_run: bool = False, -120 debug: bool = False, -121 progress: bool = False, -122 ): -123 self.ffmpeg_exe = get_ffmpeg_exe() -124 self.has_loudnorm_capabilities = ffmpeg_has_loudnorm() -125 -126 if normalization_type not in NORMALIZATION_TYPES: -127 raise FFmpegNormalizeError( -128 "Normalization type must be: 'ebu', 'rms', or 'peak'" -129 ) -130 self.normalization_type = normalization_type -131 -132 if not self.has_loudnorm_capabilities and self.normalization_type == "ebu": -133 raise FFmpegNormalizeError( -134 "Your ffmpeg does not support the 'loudnorm' EBU R128 filter. " -135 "Please install ffmpeg v4.2 or above, or choose another normalization type." -136 ) -137 -138 if self.normalization_type == "ebu": -139 self.target_level = check_range(target_level, -70, -5, name="target_level") -140 else: -141 self.target_level = check_range(target_level, -99, 0, name="target_level") -142 -143 self.print_stats = print_stats + 65 auto_lower_loudness_target (bool, optional): Automatically lower EBU Integrated Loudness Target. + 66 dual_mono (bool, optional): Dual mono. Defaults to False. + 67 dynamic (bool, optional): Dynamic. Defaults to False. + 68 audio_codec (str, optional): Audio codec. Defaults to "pcm_s16le". + 69 audio_bitrate (float, optional): Audio bitrate. Defaults to None. + 70 sample_rate (int, optional): Sample rate. Defaults to None. + 71 audio_channels (int | None, optional): Audio channels. Defaults to None. + 72 keep_original_audio (bool, optional): Keep original audio. Defaults to False. + 73 pre_filter (str, optional): Pre filter. Defaults to None. + 74 post_filter (str, optional): Post filter. Defaults to None. + 75 video_codec (str, optional): Video codec. Defaults to "copy". + 76 video_disable (bool, optional): Disable video. Defaults to False. + 77 subtitle_disable (bool, optional): Disable subtitles. Defaults to False. + 78 metadata_disable (bool, optional): Disable metadata. Defaults to False. + 79 chapters_disable (bool, optional): Disable chapters. Defaults to False. + 80 extra_input_options (list, optional): Extra input options. Defaults to None. + 81 extra_output_options (list, optional): Extra output options. Defaults to None. + 82 output_format (str, optional): Output format. Defaults to None. + 83 dry_run (bool, optional): Dry run. Defaults to False. + 84 debug (bool, optional): Debug. Defaults to False. + 85 progress (bool, optional): Progress. Defaults to False. + 86 + 87 Raises: + 88 FFmpegNormalizeError: If the ffmpeg executable is not found or does not support the loudnorm filter. + 89 """ + 90 + 91 def __init__( + 92 self, + 93 normalization_type: Literal["ebu", "rms", "peak"] = "ebu", + 94 target_level: float = -23.0, + 95 print_stats: bool = False, + 96 # threshold=0.5, + 97 loudness_range_target: float = 7.0, + 98 keep_loudness_range_target: bool = False, + 99 keep_lra_above_loudness_range_target: bool = False, +100 true_peak: float = -2.0, +101 offset: float = 0.0, +102 lower_only: bool = False, +103 auto_lower_loudness_target: bool = False, +104 dual_mono: bool = False, +105 dynamic: bool = False, +106 audio_codec: str = "pcm_s16le", +107 audio_bitrate: float | None = None, +108 sample_rate: float | int | None = None, +109 audio_channels: int | None = None, +110 keep_original_audio: bool = False, +111 pre_filter: str | None = None, +112 post_filter: str | None = None, +113 video_codec: str = "copy", +114 video_disable: bool = False, +115 subtitle_disable: bool = False, +116 metadata_disable: bool = False, +117 chapters_disable: bool = False, +118 extra_input_options: list[str] | None = None, +119 extra_output_options: list[str] | None = None, +120 output_format: str | None = None, +121 dry_run: bool = False, +122 debug: bool = False, +123 progress: bool = False, +124 ): +125 self.ffmpeg_exe = get_ffmpeg_exe() +126 self.has_loudnorm_capabilities = ffmpeg_has_loudnorm() +127 +128 if normalization_type not in NORMALIZATION_TYPES: +129 raise FFmpegNormalizeError( +130 "Normalization type must be: 'ebu', 'rms', or 'peak'" +131 ) +132 self.normalization_type = normalization_type +133 +134 if not self.has_loudnorm_capabilities and self.normalization_type == "ebu": +135 raise FFmpegNormalizeError( +136 "Your ffmpeg does not support the 'loudnorm' EBU R128 filter. " +137 "Please install ffmpeg v4.2 or above, or choose another normalization type." +138 ) +139 +140 if self.normalization_type == "ebu": +141 self.target_level = check_range(target_level, -70, -5, name="target_level") +142 else: +143 self.target_level = check_range(target_level, -99, 0, name="target_level") 144 -145 # self.threshold = float(threshold) +145 self.print_stats = print_stats 146 -147 self.loudness_range_target = check_range( -148 loudness_range_target, 1, 50, name="loudness_range_target" -149 ) -150 -151 self.keep_loudness_range_target = keep_loudness_range_target +147 # self.threshold = float(threshold) +148 +149 self.loudness_range_target = check_range( +150 loudness_range_target, 1, 50, name="loudness_range_target" +151 ) 152 -153 if self.keep_loudness_range_target and loudness_range_target != 7.0: -154 _logger.warning( -155 "Setting --keep-loudness-range-target will override your set loudness range target value! " -156 "Remove --keep-loudness-range-target or remove the --lrt/--loudness-range-target option." -157 ) -158 -159 self.keep_lra_above_loudness_range_target = keep_lra_above_loudness_range_target +153 self.keep_loudness_range_target = keep_loudness_range_target +154 +155 if self.keep_loudness_range_target and loudness_range_target != 7.0: +156 _logger.warning( +157 "Setting --keep-loudness-range-target will override your set loudness range target value! " +158 "Remove --keep-loudness-range-target or remove the --lrt/--loudness-range-target option." +159 ) 160 -161 if ( -162 self.keep_loudness_range_target -163 and self.keep_lra_above_loudness_range_target -164 ): -165 raise FFmpegNormalizeError( -166 "Options --keep-loudness-range-target and --keep-lra-above-loudness-range-target are mutually exclusive! " -167 "Please choose just one of the two options." -168 ) -169 -170 self.true_peak = check_range(true_peak, -9, 0, name="true_peak") -171 self.offset = check_range(offset, -99, 99, name="offset") -172 self.lower_only = lower_only -173 -174 # Ensure library user is passing correct types -175 assert isinstance(dual_mono, bool), "dual_mono must be bool" -176 assert isinstance(dynamic, bool), "dynamic must be bool" -177 -178 self.dual_mono = dual_mono -179 self.dynamic = dynamic -180 self.sample_rate = None if sample_rate is None else int(sample_rate) -181 self.audio_channels = None if audio_channels is None else int(audio_channels) -182 -183 self.audio_codec = audio_codec -184 self.audio_bitrate = audio_bitrate -185 self.keep_original_audio = keep_original_audio -186 self.video_codec = video_codec -187 self.video_disable = video_disable -188 self.subtitle_disable = subtitle_disable -189 self.metadata_disable = metadata_disable -190 self.chapters_disable = chapters_disable -191 -192 self.extra_input_options = extra_input_options -193 self.extra_output_options = extra_output_options -194 self.pre_filter = pre_filter -195 self.post_filter = post_filter -196 -197 self.output_format = output_format -198 self.dry_run = dry_run -199 self.debug = debug -200 self.progress = progress -201 -202 if ( -203 self.audio_codec is None or "pcm" in self.audio_codec -204 ) and self.output_format in PCM_INCOMPATIBLE_FORMATS: -205 raise FFmpegNormalizeError( -206 f"Output format {self.output_format} does not support PCM audio. " -207 "Please choose a suitable audio codec with the -c:a option." -208 ) -209 -210 self.stats: list[LoudnessStatisticsWithMetadata] = [] -211 self.media_files: list[MediaFile] = [] -212 self.file_count = 0 -213 -214 def add_media_file(self, input_file: str, output_file: str) -> None: -215 """ -216 Add a media file to normalize -217 -218 Args: -219 input_file (str): Path to input file -220 output_file (str): Path to output file -221 """ -222 if not os.path.exists(input_file): -223 raise FFmpegNormalizeError(f"file {input_file} does not exist") -224 -225 ext = os.path.splitext(output_file)[1][1:] -226 if ( -227 self.audio_codec is None or "pcm" in self.audio_codec -228 ) and ext in PCM_INCOMPATIBLE_EXTS: -229 raise FFmpegNormalizeError( -230 f"Output extension {ext} does not support PCM audio. " -231 "Please choose a suitable audio codec with the -c:a option." -232 ) -233 -234 self.media_files.append(MediaFile(self, input_file, output_file)) -235 self.file_count += 1 +161 self.keep_lra_above_loudness_range_target = keep_lra_above_loudness_range_target +162 +163 if ( +164 self.keep_loudness_range_target +165 and self.keep_lra_above_loudness_range_target +166 ): +167 raise FFmpegNormalizeError( +168 "Options --keep-loudness-range-target and --keep-lra-above-loudness-range-target are mutually exclusive! " +169 "Please choose just one of the two options." +170 ) +171 +172 self.true_peak = check_range(true_peak, -9, 0, name="true_peak") +173 self.offset = check_range(offset, -99, 99, name="offset") +174 self.lower_only = lower_only +175 self.auto_lower_loudness_target = auto_lower_loudness_target +176 +177 # Ensure library user is passing correct types +178 assert isinstance(dual_mono, bool), "dual_mono must be bool" +179 assert isinstance(dynamic, bool), "dynamic must be bool" +180 +181 self.dual_mono = dual_mono +182 self.dynamic = dynamic +183 self.sample_rate = None if sample_rate is None else int(sample_rate) +184 self.audio_channels = None if audio_channels is None else int(audio_channels) +185 +186 self.audio_codec = audio_codec +187 self.audio_bitrate = audio_bitrate +188 self.keep_original_audio = keep_original_audio +189 self.video_codec = video_codec +190 self.video_disable = video_disable +191 self.subtitle_disable = subtitle_disable +192 self.metadata_disable = metadata_disable +193 self.chapters_disable = chapters_disable +194 +195 self.extra_input_options = extra_input_options +196 self.extra_output_options = extra_output_options +197 self.pre_filter = pre_filter +198 self.post_filter = post_filter +199 +200 self.output_format = output_format +201 self.dry_run = dry_run +202 self.debug = debug +203 self.progress = progress +204 +205 if ( +206 self.audio_codec is None or "pcm" in self.audio_codec +207 ) and self.output_format in PCM_INCOMPATIBLE_FORMATS: +208 raise FFmpegNormalizeError( +209 f"Output format {self.output_format} does not support PCM audio. " +210 "Please choose a suitable audio codec with the -c:a option." +211 ) +212 +213 self.stats: list[LoudnessStatisticsWithMetadata] = [] +214 self.media_files: list[MediaFile] = [] +215 self.file_count = 0 +216 +217 def add_media_file(self, input_file: str, output_file: str) -> None: +218 """ +219 Add a media file to normalize +220 +221 Args: +222 input_file (str): Path to input file +223 output_file (str): Path to output file +224 """ +225 if not os.path.exists(input_file): +226 raise FFmpegNormalizeError(f"file {input_file} does not exist") +227 +228 ext = os.path.splitext(output_file)[1][1:] +229 if ( +230 self.audio_codec is None or "pcm" in self.audio_codec +231 ) and ext in PCM_INCOMPATIBLE_EXTS: +232 raise FFmpegNormalizeError( +233 f"Output extension {ext} does not support PCM audio. " +234 "Please choose a suitable audio codec with the -c:a option." +235 ) 236 -237 def run_normalization(self) -> None: -238 """ -239 Run the normalization procedures -240 """ -241 for index, media_file in enumerate( -242 tqdm(self.media_files, desc="File", disable=not self.progress, position=0) -243 ): -244 _logger.info( -245 f"Normalizing file {media_file} ({index + 1} of {self.file_count})" -246 ) -247 -248 try: -249 media_file.run_normalization() -250 except Exception as e: -251 if len(self.media_files) > 1: -252 # simply warn and do not die -253 _logger.error( -254 f"Error processing input file {media_file}, will " -255 f"continue batch-processing. Error was: {e}" -256 ) -257 else: -258 # raise the error so the program will exit -259 raise e -260 -261 _logger.info(f"Normalized file written to {media_file.output_file}") -262 -263 if self.print_stats: -264 json.dump(list(chain.from_iterable(media_file.get_stats() for media_file in self.media_files)), sys.stdout, indent=4) -265 print() +237 self.media_files.append(MediaFile(self, input_file, output_file)) +238 self.file_count += 1 +239 +240 def run_normalization(self) -> None: +241 """ +242 Run the normalization procedures +243 """ +244 for index, media_file in enumerate( +245 tqdm(self.media_files, desc="File", disable=not self.progress, position=0) +246 ): +247 _logger.info( +248 f"Normalizing file {media_file} ({index + 1} of {self.file_count})" +249 ) +250 +251 try: +252 media_file.run_normalization() +253 except Exception as e: +254 if len(self.media_files) > 1: +255 # simply warn and do not die +256 _logger.error( +257 f"Error processing input file {media_file}, will " +258 f"continue batch-processing. Error was: {e}" +259 ) +260 else: +261 # raise the error so the program will exit +262 raise e +263 +264 _logger.info(f"Normalized file written to {media_file.output_file}") +265 +266 if self.print_stats: +267 json.dump(list(chain.from_iterable(media_file.get_stats() for media_file in self.media_files)), sys.stdout, indent=4) +268 print() @@ -552,6 +558,7 @@

    Arguments:
  • true_peak (float, optional): True peak. Defaults to -2.0.
  • offset (float, optional): Offset. Defaults to 0.0.
  • lower_only (bool, optional): Whether the audio should not increase in loudness. Defaults to False.
    • +
  • auto_lower_loudness_target (bool, optional): Automatically lower EBU Integrated Loudness Target.
  • dual_mono (bool, optional): Dual mono. Defaults to False.
  • dynamic (bool, optional): Dynamic. Defaults to False.
  • audio_codec (str, optional): Audio codec. Defaults to "pcm_s16le".
    • @@ -586,135 +593,137 @@
    Raises:
    - FFmpegNormalize( normalization_type: Literal['ebu', 'rms', 'peak'] = 'ebu', target_level: float = -23.0, print_stats: bool = False, loudness_range_target: float = 7.0, keep_loudness_range_target: bool = False, keep_lra_above_loudness_range_target: bool = False, true_peak: float = -2.0, offset: float = 0.0, lower_only: bool = False, dual_mono: bool = False, dynamic: bool = False, audio_codec: str = 'pcm_s16le', audio_bitrate: float | None = None, sample_rate: float | int | None = None, audio_channels: int | None = None, keep_original_audio: bool = False, pre_filter: str | None = None, post_filter: str | None = None, video_codec: str = 'copy', video_disable: bool = False, subtitle_disable: bool = False, metadata_disable: bool = False, chapters_disable: bool = False, extra_input_options: list[str] | None = None, extra_output_options: list[str] | None = None, output_format: str | None = None, dry_run: bool = False, debug: bool = False, progress: bool = False) + FFmpegNormalize( normalization_type: Literal['ebu', 'rms', 'peak'] = 'ebu', target_level: float = -23.0, print_stats: bool = False, loudness_range_target: float = 7.0, keep_loudness_range_target: bool = False, keep_lra_above_loudness_range_target: bool = False, true_peak: float = -2.0, offset: float = 0.0, lower_only: bool = False, auto_lower_loudness_target: bool = False, dual_mono: bool = False, dynamic: bool = False, audio_codec: str = 'pcm_s16le', audio_bitrate: float | None = None, sample_rate: float | int | None = None, audio_channels: int | None = None, keep_original_audio: bool = False, pre_filter: str | None = None, post_filter: str | None = None, video_codec: str = 'copy', video_disable: bool = False, subtitle_disable: bool = False, metadata_disable: bool = False, chapters_disable: bool = False, extra_input_options: list[str] | None = None, extra_output_options: list[str] | None = None, output_format: str | None = None, dry_run: bool = False, debug: bool = False, progress: bool = False)
    - 
     90    def __init__(
- 91        self,
- 92        normalization_type: Literal["ebu", "rms", "peak"] = "ebu",
- 93        target_level: float = -23.0,
- 94        print_stats: bool = False,
- 95        # threshold=0.5,
- 96        loudness_range_target: float = 7.0,
- 97        keep_loudness_range_target: bool = False,
- 98        keep_lra_above_loudness_range_target: bool = False,
- 99        true_peak: float = -2.0,
-100        offset: float = 0.0,
-101        lower_only: bool = False,
-102        dual_mono: bool = False,
-103        dynamic: bool = False,
-104        audio_codec: str = "pcm_s16le",
-105        audio_bitrate: float | None = None,
-106        sample_rate: float | int | None = None,
-107        audio_channels: int | None = None,
-108        keep_original_audio: bool = False,
-109        pre_filter: str | None = None,
-110        post_filter: str | None = None,
-111        video_codec: str = "copy",
-112        video_disable: bool = False,
-113        subtitle_disable: bool = False,
-114        metadata_disable: bool = False,
-115        chapters_disable: bool = False,
-116        extra_input_options: list[str] | None = None,
-117        extra_output_options: list[str] | None = None,
-118        output_format: str | None = None,
-119        dry_run: bool = False,
-120        debug: bool = False,
-121        progress: bool = False,
-122    ):
-123        self.ffmpeg_exe = get_ffmpeg_exe()
-124        self.has_loudnorm_capabilities = ffmpeg_has_loudnorm()
-125
-126        if normalization_type not in NORMALIZATION_TYPES:
-127            raise FFmpegNormalizeError(
-128                "Normalization type must be: 'ebu', 'rms', or 'peak'"
-129            )
-130        self.normalization_type = normalization_type
-131
-132        if not self.has_loudnorm_capabilities and self.normalization_type == "ebu":
-133            raise FFmpegNormalizeError(
-134                "Your ffmpeg does not support the 'loudnorm' EBU R128 filter. "
-135                "Please install ffmpeg v4.2 or above, or choose another normalization type."
-136            )
-137
-138        if self.normalization_type == "ebu":
-139            self.target_level = check_range(target_level, -70, -5, name="target_level")
-140        else:
-141            self.target_level = check_range(target_level, -99, 0, name="target_level")
-142
-143        self.print_stats = print_stats
+            
     91    def __init__(
+ 92        self,
+ 93        normalization_type: Literal["ebu", "rms", "peak"] = "ebu",
+ 94        target_level: float = -23.0,
+ 95        print_stats: bool = False,
+ 96        # threshold=0.5,
+ 97        loudness_range_target: float = 7.0,
+ 98        keep_loudness_range_target: bool = False,
+ 99        keep_lra_above_loudness_range_target: bool = False,
+100        true_peak: float = -2.0,
+101        offset: float = 0.0,
+102        lower_only: bool = False,
+103        auto_lower_loudness_target: bool = False,
+104        dual_mono: bool = False,
+105        dynamic: bool = False,
+106        audio_codec: str = "pcm_s16le",
+107        audio_bitrate: float | None = None,
+108        sample_rate: float | int | None = None,
+109        audio_channels: int | None = None,
+110        keep_original_audio: bool = False,
+111        pre_filter: str | None = None,
+112        post_filter: str | None = None,
+113        video_codec: str = "copy",
+114        video_disable: bool = False,
+115        subtitle_disable: bool = False,
+116        metadata_disable: bool = False,
+117        chapters_disable: bool = False,
+118        extra_input_options: list[str] | None = None,
+119        extra_output_options: list[str] | None = None,
+120        output_format: str | None = None,
+121        dry_run: bool = False,
+122        debug: bool = False,
+123        progress: bool = False,
+124    ):
+125        self.ffmpeg_exe = get_ffmpeg_exe()
+126        self.has_loudnorm_capabilities = ffmpeg_has_loudnorm()
+127
+128        if normalization_type not in NORMALIZATION_TYPES:
+129            raise FFmpegNormalizeError(
+130                "Normalization type must be: 'ebu', 'rms', or 'peak'"
+131            )
+132        self.normalization_type = normalization_type
+133
+134        if not self.has_loudnorm_capabilities and self.normalization_type == "ebu":
+135            raise FFmpegNormalizeError(
+136                "Your ffmpeg does not support the 'loudnorm' EBU R128 filter. "
+137                "Please install ffmpeg v4.2 or above, or choose another normalization type."
+138            )
+139
+140        if self.normalization_type == "ebu":
+141            self.target_level = check_range(target_level, -70, -5, name="target_level")
+142        else:
+143            self.target_level = check_range(target_level, -99, 0, name="target_level")
 144
-145        # self.threshold = float(threshold)
+145        self.print_stats = print_stats
 146
-147        self.loudness_range_target = check_range(
-148            loudness_range_target, 1, 50, name="loudness_range_target"
-149        )
-150
-151        self.keep_loudness_range_target = keep_loudness_range_target
+147        # self.threshold = float(threshold)
+148
+149        self.loudness_range_target = check_range(
+150            loudness_range_target, 1, 50, name="loudness_range_target"
+151        )
 152
-153        if self.keep_loudness_range_target and loudness_range_target != 7.0:
-154            _logger.warning(
-155                "Setting --keep-loudness-range-target will override your set loudness range target value! "
-156                "Remove --keep-loudness-range-target or remove the --lrt/--loudness-range-target option."
-157            )
-158
-159        self.keep_lra_above_loudness_range_target = keep_lra_above_loudness_range_target
+153        self.keep_loudness_range_target = keep_loudness_range_target
+154
+155        if self.keep_loudness_range_target and loudness_range_target != 7.0:
+156            _logger.warning(
+157                "Setting --keep-loudness-range-target will override your set loudness range target value! "
+158                "Remove --keep-loudness-range-target or remove the --lrt/--loudness-range-target option."
+159            )
 160
-161        if (
-162            self.keep_loudness_range_target
-163            and self.keep_lra_above_loudness_range_target
-164        ):
-165            raise FFmpegNormalizeError(
-166                "Options --keep-loudness-range-target and --keep-lra-above-loudness-range-target are mutually exclusive! "
-167                "Please choose just one of the two options."
-168            )
-169
-170        self.true_peak = check_range(true_peak, -9, 0, name="true_peak")
-171        self.offset = check_range(offset, -99, 99, name="offset")
-172        self.lower_only = lower_only
-173
-174        # Ensure library user is passing correct types
-175        assert isinstance(dual_mono, bool), "dual_mono must be bool"
-176        assert isinstance(dynamic, bool), "dynamic must be bool"
-177
-178        self.dual_mono = dual_mono
-179        self.dynamic = dynamic
-180        self.sample_rate = None if sample_rate is None else int(sample_rate)
-181        self.audio_channels = None if audio_channels is None else int(audio_channels)
-182
-183        self.audio_codec = audio_codec
-184        self.audio_bitrate = audio_bitrate
-185        self.keep_original_audio = keep_original_audio
-186        self.video_codec = video_codec
-187        self.video_disable = video_disable
-188        self.subtitle_disable = subtitle_disable
-189        self.metadata_disable = metadata_disable
-190        self.chapters_disable = chapters_disable
-191
-192        self.extra_input_options = extra_input_options
-193        self.extra_output_options = extra_output_options
-194        self.pre_filter = pre_filter
-195        self.post_filter = post_filter
-196
-197        self.output_format = output_format
-198        self.dry_run = dry_run
-199        self.debug = debug
-200        self.progress = progress
-201
-202        if (
-203            self.audio_codec is None or "pcm" in self.audio_codec
-204        ) and self.output_format in PCM_INCOMPATIBLE_FORMATS:
-205            raise FFmpegNormalizeError(
-206                f"Output format {self.output_format} does not support PCM audio. "
-207                "Please choose a suitable audio codec with the -c:a option."
-208            )
-209
-210        self.stats: list[LoudnessStatisticsWithMetadata] = []
-211        self.media_files: list[MediaFile] = []
-212        self.file_count = 0
+161        self.keep_lra_above_loudness_range_target = keep_lra_above_loudness_range_target
+162
+163        if (
+164            self.keep_loudness_range_target
+165            and self.keep_lra_above_loudness_range_target
+166        ):
+167            raise FFmpegNormalizeError(
+168                "Options --keep-loudness-range-target and --keep-lra-above-loudness-range-target are mutually exclusive! "
+169                "Please choose just one of the two options."
+170            )
+171
+172        self.true_peak = check_range(true_peak, -9, 0, name="true_peak")
+173        self.offset = check_range(offset, -99, 99, name="offset")
+174        self.lower_only = lower_only
+175        self.auto_lower_loudness_target = auto_lower_loudness_target
+176
+177        # Ensure library user is passing correct types
+178        assert isinstance(dual_mono, bool), "dual_mono must be bool"
+179        assert isinstance(dynamic, bool), "dynamic must be bool"
+180
+181        self.dual_mono = dual_mono
+182        self.dynamic = dynamic
+183        self.sample_rate = None if sample_rate is None else int(sample_rate)
+184        self.audio_channels = None if audio_channels is None else int(audio_channels)
+185
+186        self.audio_codec = audio_codec
+187        self.audio_bitrate = audio_bitrate
+188        self.keep_original_audio = keep_original_audio
+189        self.video_codec = video_codec
+190        self.video_disable = video_disable
+191        self.subtitle_disable = subtitle_disable
+192        self.metadata_disable = metadata_disable
+193        self.chapters_disable = chapters_disable
+194
+195        self.extra_input_options = extra_input_options
+196        self.extra_output_options = extra_output_options
+197        self.pre_filter = pre_filter
+198        self.post_filter = post_filter
+199
+200        self.output_format = output_format
+201        self.dry_run = dry_run
+202        self.debug = debug
+203        self.progress = progress
+204
+205        if (
+206            self.audio_codec is None or "pcm" in self.audio_codec
+207        ) and self.output_format in PCM_INCOMPATIBLE_FORMATS:
+208            raise FFmpegNormalizeError(
+209                f"Output format {self.output_format} does not support PCM audio. "
+210                "Please choose a suitable audio codec with the -c:a option."
+211            )
+212
+213        self.stats: list[LoudnessStatisticsWithMetadata] = []
+214        self.media_files: list[MediaFile] = []
+215        self.file_count = 0
 
    
 
 
@@ -830,6 +839,17 @@ 
    Raises:
    
     
     
 
+
    +
    +
    + auto_lower_loudness_target + + +
    + + + +
    @@ -1095,28 +1115,28 @@
    Raises:
    - 
    214    def add_media_file(self, input_file: str, output_file: str) -> None:
-215        """
-216        Add a media file to normalize
-217
-218        Args:
-219            input_file (str): Path to input file
-220            output_file (str): Path to output file
-221        """
-222        if not os.path.exists(input_file):
-223            raise FFmpegNormalizeError(f"file {input_file} does not exist")
-224
-225        ext = os.path.splitext(output_file)[1][1:]
-226        if (
-227            self.audio_codec is None or "pcm" in self.audio_codec
-228        ) and ext in PCM_INCOMPATIBLE_EXTS:
-229            raise FFmpegNormalizeError(
-230                f"Output extension {ext} does not support PCM audio. "
-231                "Please choose a suitable audio codec with the -c:a option."
-232            )
-233
-234        self.media_files.append(MediaFile(self, input_file, output_file))
-235        self.file_count += 1
+            
    217    def add_media_file(self, input_file: str, output_file: str) -> None:
+218        """
+219        Add a media file to normalize
+220
+221        Args:
+222            input_file (str): Path to input file
+223            output_file (str): Path to output file
+224        """
+225        if not os.path.exists(input_file):
+226            raise FFmpegNormalizeError(f"file {input_file} does not exist")
+227
+228        ext = os.path.splitext(output_file)[1][1:]
+229        if (
+230            self.audio_codec is None or "pcm" in self.audio_codec
+231        ) and ext in PCM_INCOMPATIBLE_EXTS:
+232            raise FFmpegNormalizeError(
+233                f"Output extension {ext} does not support PCM audio. "
+234                "Please choose a suitable audio codec with the -c:a option."
+235            )
+236
+237        self.media_files.append(MediaFile(self, input_file, output_file))
+238        self.file_count += 1
 
    
 
 
@@ -1143,35 +1163,35 @@ 
    Arguments:
    - 
    237    def run_normalization(self) -> None:
-238        """
-239        Run the normalization procedures
-240        """
-241        for index, media_file in enumerate(
-242            tqdm(self.media_files, desc="File", disable=not self.progress, position=0)
-243        ):
-244            _logger.info(
-245                f"Normalizing file {media_file} ({index + 1} of {self.file_count})"
-246            )
-247
-248            try:
-249                media_file.run_normalization()
-250            except Exception as e:
-251                if len(self.media_files) > 1:
-252                    # simply warn and do not die
-253                    _logger.error(
-254                        f"Error processing input file {media_file}, will "
-255                        f"continue batch-processing. Error was: {e}"
-256                    )
-257                else:
-258                    # raise the error so the program will exit
-259                    raise e
-260
-261            _logger.info(f"Normalized file written to {media_file.output_file}")
-262
-263        if self.print_stats:
-264            json.dump(list(chain.from_iterable(media_file.get_stats() for media_file in self.media_files)), sys.stdout, indent=4)
-265            print()
+            
    240    def run_normalization(self) -> None:
+241        """
+242        Run the normalization procedures
+243        """
+244        for index, media_file in enumerate(
+245            tqdm(self.media_files, desc="File", disable=not self.progress, position=0)
+246        ):
+247            _logger.info(
+248                f"Normalizing file {media_file} ({index + 1} of {self.file_count})"
+249            )
+250
+251            try:
+252                media_file.run_normalization()
+253            except Exception as e:
+254                if len(self.media_files) > 1:
+255                    # simply warn and do not die
+256                    _logger.error(
+257                        f"Error processing input file {media_file}, will "
+258                        f"continue batch-processing. Error was: {e}"
+259                    )
+260                else:
+261                    # raise the error so the program will exit
+262                    raise e
+263
+264            _logger.info(f"Normalized file written to {media_file.output_file}")
+265
+266        if self.print_stats:
+267            json.dump(list(chain.from_iterable(media_file.get_stats() for media_file in self.media_files)), sys.stdout, indent=4)
+268            print()
 
    
 
 
@@ -1462,7 +1482,7 @@ 
    Inherited Members
    
     282                        skip_normalization = True
 283
 284            if skip_normalization:
-285                _logger.warn(
+285                _logger.warning(
 286                    f"Stream {audio_stream.stream_id} had measured input loudness lower than target, skipping normalization."
 287                )
 288                normalization_filter = "acopy"
@@ -2050,7 +2070,7 @@ 
    Raises:
    
     168        }
 169        return stats
 170
-171    def set_second_pass_stats(self, stats: EbuLoudnessStatistics):
+171    def set_second_pass_stats(self, stats: EbuLoudnessStatistics) -> None:
 172        """
 173        Set the EBU loudness statistics for the second pass.
 174
@@ -2364,73 +2384,87 @@ 
    Raises:
    
     482                "Specify -ar/--sample-rate to override it."
 483            )
 484
-485        stats = self.loudness_statistics["ebu_pass1"]
-486
-487        opts = {
-488            "i": self.media_file.ffmpeg_normalize.target_level,
-489            "lra": self.media_file.ffmpeg_normalize.loudness_range_target,
-490            "tp": self.media_file.ffmpeg_normalize.true_peak,
-491            "offset": self._constrain(
-492                stats["target_offset"], -99, 99, name="target_offset"
-493            ),
-494            "measured_i": self._constrain(
-495                stats["input_i"], -99, 0, name="input_i"
-496            ),
-497            "measured_lra": self._constrain(
-498                stats["input_lra"], 0, 99, name="input_lra"
-499            ),
-500            "measured_tp": self._constrain(
-501                stats["input_tp"], -99, 99, name="input_tp"
-502            ),
-503            "measured_thresh": self._constrain(
-504                stats["input_thresh"], -99, 0, name="input_thresh"
-505            ),
-506            "linear": "false" if self.media_file.ffmpeg_normalize.dynamic else "true",
-507            "print_format": "json",
-508        }
-509
-510        if self.media_file.ffmpeg_normalize.dual_mono:
-511            opts["dual_mono"] = "true"
-512
-513        return "loudnorm=" + dict_to_filter_opts(opts)
-514
-515    def get_second_pass_opts_peakrms(self) -> str:
-516        """
-517        Set the adjustment gain based on chosen option and mean/max volume,
-518        return the matching ffmpeg volume filter.
-519
-520        Returns:
-521            str: ffmpeg volume filter string
-522        """
-523        if (
-524            self.loudness_statistics["max"] is None
-525            or self.loudness_statistics["mean"] is None
-526        ):
-527            raise FFmpegNormalizeError(
-528                "First pass not run, no mean/max volume to normalize to"
-529            )
-530
-531        normalization_type = self.media_file.ffmpeg_normalize.normalization_type
-532        target_level = self.media_file.ffmpeg_normalize.target_level
+485        target_level = self.ffmpeg_normalize.target_level
+486        if self.ffmpeg_normalize.auto_lower_loudness_target:
+487            safe_target = (
+488                self.loudness_statistics["ebu_pass1"]["input_i"]
+489                - self.loudness_statistics["ebu_pass1"]["input_tp"]
+490                + self.ffmpeg_normalize.true_peak
+491                - 0.1
+492            )
+493            if safe_target < self.ffmpeg_normalize.target_level:
+494                target_level = safe_target
+495                _logger.warning(
+496                    f"Using loudness target {target_level} because --auto-lower-loudness-target given.",
+497                )
+498
+499        stats = self.loudness_statistics["ebu_pass1"]
+500
+501        opts = {
+502            "i": target_level,
+503            "lra": self.media_file.ffmpeg_normalize.loudness_range_target,
+504            "tp": self.media_file.ffmpeg_normalize.true_peak,
+505            "offset": self._constrain(
+506                stats["target_offset"], -99, 99, name="target_offset"
+507            ),
+508            "measured_i": self._constrain(
+509                stats["input_i"], -99, 0, name="input_i"
+510            ),
+511            "measured_lra": self._constrain(
+512                stats["input_lra"], 0, 99, name="input_lra"
+513            ),
+514            "measured_tp": self._constrain(
+515                stats["input_tp"], -99, 99, name="input_tp"
+516            ),
+517            "measured_thresh": self._constrain(
+518                stats["input_thresh"], -99, 0, name="input_thresh"
+519            ),
+520            "linear": "false" if self.media_file.ffmpeg_normalize.dynamic else "true",
+521            "print_format": "json",
+522        }
+523
+524        if self.media_file.ffmpeg_normalize.dual_mono:
+525            opts["dual_mono"] = "true"
+526
+527        return "loudnorm=" + dict_to_filter_opts(opts)
+528
+529    def get_second_pass_opts_peakrms(self) -> str:
+530        """
+531        Set the adjustment gain based on chosen option and mean/max volume,
+532        return the matching ffmpeg volume filter.
 533
-534        if normalization_type == "peak":
-535            adjustment = 0 + target_level - self.loudness_statistics["max"]
-536        elif normalization_type == "rms":
-537            adjustment = target_level - self.loudness_statistics["mean"]
-538        else:
-539            raise FFmpegNormalizeError(
-540                "Can only set adjustment for peak and RMS normalization"
-541            )
-542
-543        _logger.info(
-544            f"Adjusting stream {self.stream_id} by {adjustment} dB to reach {target_level}"
-545        )
-546
-547        clip_amount = self.loudness_statistics["max"] + adjustment
-548        if clip_amount > 0:
-549            _logger.warning(f"Adjusting will lead to clipping of {clip_amount} dB")
-550
-551        return f"volume={adjustment}dB"
+534        Returns:
+535            str: ffmpeg volume filter string
+536        """
+537        if (
+538            self.loudness_statistics["max"] is None
+539            or self.loudness_statistics["mean"] is None
+540        ):
+541            raise FFmpegNormalizeError(
+542                "First pass not run, no mean/max volume to normalize to"
+543            )
+544
+545        normalization_type = self.media_file.ffmpeg_normalize.normalization_type
+546        target_level = self.media_file.ffmpeg_normalize.target_level
+547
+548        if normalization_type == "peak":
+549            adjustment = 0 + target_level - self.loudness_statistics["max"]
+550        elif normalization_type == "rms":
+551            adjustment = target_level - self.loudness_statistics["mean"]
+552        else:
+553            raise FFmpegNormalizeError(
+554                "Can only set adjustment for peak and RMS normalization"
+555            )
+556
+557        _logger.info(
+558            f"Adjusting stream {self.stream_id} by {adjustment} dB to reach {target_level}"
+559        )
+560
+561        clip_amount = self.loudness_statistics["max"] + adjustment
+562        if clip_amount > 0:
+563            _logger.warning(f"Adjusting will lead to clipping of {clip_amount} dB")
+564
+565        return f"volume={adjustment}dB"
    @@ -2589,13 +2623,13 @@
    Returns:
    def - set_second_pass_stats(self, stats: ffmpeg_normalize._streams.EbuLoudnessStatistics): + set_second_pass_stats(self, stats: ffmpeg_normalize._streams.EbuLoudnessStatistics) -> None:
    - 
    171    def set_second_pass_stats(self, stats: EbuLoudnessStatistics):
+            
    171    def set_second_pass_stats(self, stats: EbuLoudnessStatistics) -> None:
 172        """
 173        Set the EBU loudness statistics for the second pass.
 174
@@ -2949,35 +2983,49 @@ 
    Returns:
    
     482                "Specify -ar/--sample-rate to override it."
 483            )
 484
-485        stats = self.loudness_statistics["ebu_pass1"]
-486
-487        opts = {
-488            "i": self.media_file.ffmpeg_normalize.target_level,
-489            "lra": self.media_file.ffmpeg_normalize.loudness_range_target,
-490            "tp": self.media_file.ffmpeg_normalize.true_peak,
-491            "offset": self._constrain(
-492                stats["target_offset"], -99, 99, name="target_offset"
-493            ),
-494            "measured_i": self._constrain(
-495                stats["input_i"], -99, 0, name="input_i"
-496            ),
-497            "measured_lra": self._constrain(
-498                stats["input_lra"], 0, 99, name="input_lra"
-499            ),
-500            "measured_tp": self._constrain(
-501                stats["input_tp"], -99, 99, name="input_tp"
-502            ),
-503            "measured_thresh": self._constrain(
-504                stats["input_thresh"], -99, 0, name="input_thresh"
-505            ),
-506            "linear": "false" if self.media_file.ffmpeg_normalize.dynamic else "true",
-507            "print_format": "json",
-508        }
-509
-510        if self.media_file.ffmpeg_normalize.dual_mono:
-511            opts["dual_mono"] = "true"
-512
-513        return "loudnorm=" + dict_to_filter_opts(opts)
+485        target_level = self.ffmpeg_normalize.target_level
+486        if self.ffmpeg_normalize.auto_lower_loudness_target:
+487            safe_target = (
+488                self.loudness_statistics["ebu_pass1"]["input_i"]
+489                - self.loudness_statistics["ebu_pass1"]["input_tp"]
+490                + self.ffmpeg_normalize.true_peak
+491                - 0.1
+492            )
+493            if safe_target < self.ffmpeg_normalize.target_level:
+494                target_level = safe_target
+495                _logger.warning(
+496                    f"Using loudness target {target_level} because --auto-lower-loudness-target given.",
+497                )
+498
+499        stats = self.loudness_statistics["ebu_pass1"]
+500
+501        opts = {
+502            "i": target_level,
+503            "lra": self.media_file.ffmpeg_normalize.loudness_range_target,
+504            "tp": self.media_file.ffmpeg_normalize.true_peak,
+505            "offset": self._constrain(
+506                stats["target_offset"], -99, 99, name="target_offset"
+507            ),
+508            "measured_i": self._constrain(
+509                stats["input_i"], -99, 0, name="input_i"
+510            ),
+511            "measured_lra": self._constrain(
+512                stats["input_lra"], 0, 99, name="input_lra"
+513            ),
+514            "measured_tp": self._constrain(
+515                stats["input_tp"], -99, 99, name="input_tp"
+516            ),
+517            "measured_thresh": self._constrain(
+518                stats["input_thresh"], -99, 0, name="input_thresh"
+519            ),
+520            "linear": "false" if self.media_file.ffmpeg_normalize.dynamic else "true",
+521            "print_format": "json",
+522        }
+523
+524        if self.media_file.ffmpeg_normalize.dual_mono:
+525            opts["dual_mono"] = "true"
+526
+527        return "loudnorm=" + dict_to_filter_opts(opts)
 
    
 
 
@@ -2997,43 +3045,43 @@ 
    Returns:
    - 
    515    def get_second_pass_opts_peakrms(self) -> str:
-516        """
-517        Set the adjustment gain based on chosen option and mean/max volume,
-518        return the matching ffmpeg volume filter.
-519
-520        Returns:
-521            str: ffmpeg volume filter string
-522        """
-523        if (
-524            self.loudness_statistics["max"] is None
-525            or self.loudness_statistics["mean"] is None
-526        ):
-527            raise FFmpegNormalizeError(
-528                "First pass not run, no mean/max volume to normalize to"
-529            )
-530
-531        normalization_type = self.media_file.ffmpeg_normalize.normalization_type
-532        target_level = self.media_file.ffmpeg_normalize.target_level
+            
    529    def get_second_pass_opts_peakrms(self) -> str:
+530        """
+531        Set the adjustment gain based on chosen option and mean/max volume,
+532        return the matching ffmpeg volume filter.
 533
-534        if normalization_type == "peak":
-535            adjustment = 0 + target_level - self.loudness_statistics["max"]
-536        elif normalization_type == "rms":
-537            adjustment = target_level - self.loudness_statistics["mean"]
-538        else:
-539            raise FFmpegNormalizeError(
-540                "Can only set adjustment for peak and RMS normalization"
-541            )
-542
-543        _logger.info(
-544            f"Adjusting stream {self.stream_id} by {adjustment} dB to reach {target_level}"
-545        )
-546
-547        clip_amount = self.loudness_statistics["max"] + adjustment
-548        if clip_amount > 0:
-549            _logger.warning(f"Adjusting will lead to clipping of {clip_amount} dB")
-550
-551        return f"volume={adjustment}dB"
+534        Returns:
+535            str: ffmpeg volume filter string
+536        """
+537        if (
+538            self.loudness_statistics["max"] is None
+539            or self.loudness_statistics["mean"] is None
+540        ):
+541            raise FFmpegNormalizeError(
+542                "First pass not run, no mean/max volume to normalize to"
+543            )
+544
+545        normalization_type = self.media_file.ffmpeg_normalize.normalization_type
+546        target_level = self.media_file.ffmpeg_normalize.target_level
+547
+548        if normalization_type == "peak":
+549            adjustment = 0 + target_level - self.loudness_statistics["max"]
+550        elif normalization_type == "rms":
+551            adjustment = target_level - self.loudness_statistics["mean"]
+552        else:
+553            raise FFmpegNormalizeError(
+554                "Can only set adjustment for peak and RMS normalization"
+555            )
+556
+557        _logger.info(
+558            f"Adjusting stream {self.stream_id} by {adjustment} dB to reach {target_level}"
+559        )
+560
+561        clip_amount = self.loudness_statistics["max"] + adjustment
+562        if clip_amount > 0:
+563            _logger.warning(f"Adjusting will lead to clipping of {clip_amount} dB")
+564
+565        return f"volume={adjustment}dB"
 
    
 
 
@@ -3330,7 +3378,7 @@ 
    Arguments:
    
                 
    
                     
    
             __version__        =
-'1.30.0'
+'1.31.0'
 
         
     
    
diff --git a/docs/search.js b/docs/search.js
index 147f18b..0a9ce52 100644
--- a/docs/search.js
+++ b/docs/search.js
@@ -1,6 +1,6 @@
 window.pdocSearch = (function(){
 /** elasticlunr - http://weixsong.github.io * Copyright (C) 2017 Oliver Nightingale * Copyright (C) 2017 Wei Song * MIT Licensed */!function(){function e(e){if(null===e||"object"!=typeof e)return e;var t=e.constructor();for(var n in e)e.hasOwnProperty(n)&&(t[n]=e[n]);return t}var t=function(e){var n=new t.Index;return n.pipeline.add(t.trimmer,t.stopWordFilter,t.stemmer),e&&e.call(n,n),n};t.version="0.9.5",lunr=t,t.utils={},t.utils.warn=function(e){return function(t){e.console&&console.warn&&console.warn(t)}}(this),t.utils.toString=function(e){return void 0===e||null===e?"":e.toString()},t.EventEmitter=function(){this.events={}},t.EventEmitter.prototype.addListener=function(){var e=Array.prototype.slice.call(arguments),t=e.pop(),n=e;if("function"!=typeof t)throw new TypeError("last argument must be a function");n.forEach(function(e){this.hasHandler(e)||(this.events[e]=[]),this.events[e].push(t)},this)},t.EventEmitter.prototype.removeListener=function(e,t){if(this.hasHandler(e)){var n=this.events[e].indexOf(t);-1!==n&&(this.events[e].splice(n,1),0==this.events[e].length&&delete this.events[e])}},t.EventEmitter.prototype.emit=function(e){if(this.hasHandler(e)){var t=Array.prototype.slice.call(arguments,1);this.events[e].forEach(function(e){e.apply(void 0,t)},this)}},t.EventEmitter.prototype.hasHandler=function(e){return e in this.events},t.tokenizer=function(e){if(!arguments.length||null===e||void 0===e)return[];if(Array.isArray(e)){var n=e.filter(function(e){return null===e||void 0===e?!1:!0});n=n.map(function(e){return t.utils.toString(e).toLowerCase()});var i=[];return n.forEach(function(e){var n=e.split(t.tokenizer.seperator);i=i.concat(n)},this),i}return e.toString().trim().toLowerCase().split(t.tokenizer.seperator)},t.tokenizer.defaultSeperator=/[\s\-]+/,t.tokenizer.seperator=t.tokenizer.defaultSeperator,t.tokenizer.setSeperator=function(e){null!==e&&void 0!==e&&"object"==typeof e&&(t.tokenizer.seperator=e)},t.tokenizer.resetSeperator=function(){t.tokenizer.seperator=t.tokenizer.defaultSeperator},t.tokenizer.getSeperator=function(){return t.tokenizer.seperator},t.Pipeline=function(){this._queue=[]},t.Pipeline.registeredFunctions={},t.Pipeline.registerFunction=function(e,n){n in t.Pipeline.registeredFunctions&&t.utils.warn("Overwriting existing registered function: "+n),e.label=n,t.Pipeline.registeredFunctions[n]=e},t.Pipeline.getRegisteredFunction=function(e){return e in t.Pipeline.registeredFunctions!=!0?null:t.Pipeline.registeredFunctions[e]},t.Pipeline.warnIfFunctionNotRegistered=function(e){var n=e.label&&e.label in this.registeredFunctions;n||t.utils.warn("Function is not registered with pipeline. This may cause problems when serialising the index.\n",e)},t.Pipeline.load=function(e){var n=new t.Pipeline;return e.forEach(function(e){var i=t.Pipeline.getRegisteredFunction(e);if(!i)throw new Error("Cannot load un-registered function: "+e);n.add(i)}),n},t.Pipeline.prototype.add=function(){var e=Array.prototype.slice.call(arguments);e.forEach(function(e){t.Pipeline.warnIfFunctionNotRegistered(e),this._queue.push(e)},this)},t.Pipeline.prototype.after=function(e,n){t.Pipeline.warnIfFunctionNotRegistered(n);var i=this._queue.indexOf(e);if(-1===i)throw new Error("Cannot find existingFn");this._queue.splice(i+1,0,n)},t.Pipeline.prototype.before=function(e,n){t.Pipeline.warnIfFunctionNotRegistered(n);var i=this._queue.indexOf(e);if(-1===i)throw new Error("Cannot find existingFn");this._queue.splice(i,0,n)},t.Pipeline.prototype.remove=function(e){var t=this._queue.indexOf(e);-1!==t&&this._queue.splice(t,1)},t.Pipeline.prototype.run=function(e){for(var t=[],n=e.length,i=this._queue.length,o=0;n>o;o++){for(var r=e[o],s=0;i>s&&(r=this._queue[s](r,o,e),void 0!==r&&null!==r);s++);void 0!==r&&null!==r&&t.push(r)}return t},t.Pipeline.prototype.reset=function(){this._queue=[]},t.Pipeline.prototype.get=function(){return this._queue},t.Pipeline.prototype.toJSON=function(){return this._queue.map(function(e){return t.Pipeline.warnIfFunctionNotRegistered(e),e.label})},t.Index=function(){this._fields=[],this._ref="id",this.pipeline=new t.Pipeline,this.documentStore=new t.DocumentStore,this.index={},this.eventEmitter=new t.EventEmitter,this._idfCache={},this.on("add","remove","update",function(){this._idfCache={}}.bind(this))},t.Index.prototype.on=function(){var e=Array.prototype.slice.call(arguments);return this.eventEmitter.addListener.apply(this.eventEmitter,e)},t.Index.prototype.off=function(e,t){return this.eventEmitter.removeListener(e,t)},t.Index.load=function(e){e.version!==t.version&&t.utils.warn("version mismatch: current "+t.version+" importing "+e.version);var n=new this;n._fields=e.fields,n._ref=e.ref,n.documentStore=t.DocumentStore.load(e.documentStore),n.pipeline=t.Pipeline.load(e.pipeline),n.index={};for(var i in e.index)n.index[i]=t.InvertedIndex.load(e.index[i]);return n},t.Index.prototype.addField=function(e){return this._fields.push(e),this.index[e]=new t.InvertedIndex,this},t.Index.prototype.setRef=function(e){return this._ref=e,this},t.Index.prototype.saveDocument=function(e){return this.documentStore=new t.DocumentStore(e),this},t.Index.prototype.addDoc=function(e,n){if(e){var n=void 0===n?!0:n,i=e[this._ref];this.documentStore.addDoc(i,e),this._fields.forEach(function(n){var o=this.pipeline.run(t.tokenizer(e[n]));this.documentStore.addFieldLength(i,n,o.length);var r={};o.forEach(function(e){e in r?r[e]+=1:r[e]=1},this);for(var s in r){var u=r[s];u=Math.sqrt(u),this.index[n].addToken(s,{ref:i,tf:u})}},this),n&&this.eventEmitter.emit("add",e,this)}},t.Index.prototype.removeDocByRef=function(e){if(e&&this.documentStore.isDocStored()!==!1&&this.documentStore.hasDoc(e)){var t=this.documentStore.getDoc(e);this.removeDoc(t,!1)}},t.Index.prototype.removeDoc=function(e,n){if(e){var n=void 0===n?!0:n,i=e[this._ref];this.documentStore.hasDoc(i)&&(this.documentStore.removeDoc(i),this._fields.forEach(function(n){var o=this.pipeline.run(t.tokenizer(e[n]));o.forEach(function(e){this.index[n].removeToken(e,i)},this)},this),n&&this.eventEmitter.emit("remove",e,this))}},t.Index.prototype.updateDoc=function(e,t){var t=void 0===t?!0:t;this.removeDocByRef(e[this._ref],!1),this.addDoc(e,!1),t&&this.eventEmitter.emit("update",e,this)},t.Index.prototype.idf=function(e,t){var n="@"+t+"/"+e;if(Object.prototype.hasOwnProperty.call(this._idfCache,n))return this._idfCache[n];var 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configuration"),this.buildDefaultConfig(n)}},t.Configuration.prototype.buildDefaultConfig=function(e){this.reset(),e.forEach(function(e){this.config[e]={boost:1,bool:"OR",expand:!1}},this)},t.Configuration.prototype.buildUserConfig=function(e,n){var i="OR",o=!1;if(this.reset(),"bool"in e&&(i=e.bool||i),"expand"in e&&(o=e.expand||o),"fields"in e)for(var r in e.fields)if(n.indexOf(r)>-1){var s=e.fields[r],u=o;void 0!=s.expand&&(u=s.expand),this.config[r]={boost:s.boost||0===s.boost?s.boost:1,bool:s.bool||i,expand:u}}else t.utils.warn("field name in user configuration not found in index instance fields");else this.addAllFields2UserConfig(i,o,n)},t.Configuration.prototype.addAllFields2UserConfig=function(e,t,n){n.forEach(function(n){this.config[n]={boost:1,bool:e,expand:t}},this)},t.Configuration.prototype.get=function(){return this.config},t.Configuration.prototype.reset=function(){this.config={}},lunr.SortedSet=function(){this.length=0,this.elements=[]},lunr.SortedSet.load=function(e){var t=new this;return t.elements=e,t.length=e.length,t},lunr.SortedSet.prototype.add=function(){var e,t;for(e=0;e1;){if(r===e)return o;e>r&&(t=o),r>e&&(n=o),i=n-t,o=t+Math.floor(i/2),r=this.elements[o]}return r===e?o:-1},lunr.SortedSet.prototype.locationFor=function(e){for(var t=0,n=this.elements.length,i=n-t,o=t+Math.floor(i/2),r=this.elements[o];i>1;)e>r&&(t=o),r>e&&(n=o),i=n-t,o=t+Math.floor(i/2),r=this.elements[o];return r>e?o:e>r?o+1:void 0},lunr.SortedSet.prototype.intersect=function(e){for(var t=new lunr.SortedSet,n=0,i=0,o=this.length,r=e.length,s=this.elements,u=e.elements;;){if(n>o-1||i>r-1)break;s[n]!==u[i]?s[n]u[i]&&i++:(t.add(s[n]),n++,i++)}return t},lunr.SortedSet.prototype.clone=function(){var e=new lunr.SortedSet;return e.elements=this.toArray(),e.length=e.elements.length,e},lunr.SortedSet.prototype.union=function(e){var t,n,i;this.length>=e.length?(t=this,n=e):(t=e,n=this),i=t.clone();for(var o=0,r=n.toArray();o
    \n"}, "ffmpeg_normalize.FFmpegNormalize": {"fullname": "ffmpeg_normalize.FFmpegNormalize", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize", "kind": "class", "doc": "
    ffmpeg-normalize class.
    \n\n
    Arguments:
    \n\n
      \n
    • normalization_type (str, optional):  Normalization type. Defaults to \"ebu\".
      • \n
    • target_level (float, optional):  Target level. Defaults to -23.0.
      • \n
    • print_stats (bool, optional):  Print loudnorm stats. Defaults to False.
      • \n
    • loudness_range_target (float, optional):  Loudness range target. Defaults to 7.0.
      • \n
    • keep_loudness_range_target (bool, optional):  Keep loudness range target. Defaults to False.
      • \n
    • keep_lra_above_loudness_range_target (bool, optional):  Keep input loudness range above loudness range target. Defaults to False.
      • \n
    • true_peak (float, optional):  True peak. Defaults to -2.0.
      • \n
    • offset (float, optional):  Offset. Defaults to 0.0.
      • \n
    • lower_only (bool, optional):  Whether the audio should not increase in loudness. Defaults to False.
      • \n
    • dual_mono (bool, optional):  Dual mono. Defaults to False.
      • \n
    • dynamic (bool, optional):  Dynamic. Defaults to False.
      • \n
    • audio_codec (str, optional):  Audio codec. Defaults to \"pcm_s16le\".
      • \n
    • audio_bitrate (float, optional):  Audio bitrate. Defaults to None.
      • \n
    • sample_rate (int, optional):  Sample rate. Defaults to None.
      • \n
    • audio_channels (int | None, optional):  Audio channels. Defaults to None.
      • \n
    • keep_original_audio (bool, optional):  Keep original audio. Defaults to False.
      • \n
    • pre_filter (str, optional):  Pre filter. Defaults to None.
      • \n
    • post_filter (str, optional):  Post filter. Defaults to None.
      • \n
    • video_codec (str, optional):  Video codec. Defaults to \"copy\".
      • \n
    • video_disable (bool, optional):  Disable video. Defaults to False.
      • \n
    • subtitle_disable (bool, optional):  Disable subtitles. Defaults to False.
      • \n
    • metadata_disable (bool, optional):  Disable metadata. Defaults to False.
      • \n
    • chapters_disable (bool, optional):  Disable chapters. Defaults to False.
      • \n
    • extra_input_options (list, optional):  Extra input options. Defaults to None.
      • \n
    • extra_output_options (list, optional):  Extra output options. Defaults to None.
      • \n
    • output_format (str, optional):  Output format. Defaults to None.
      • \n
    • dry_run (bool, optional):  Dry run. Defaults to False.
      • \n
    • debug (bool, optional):  Debug. Defaults to False.
      • \n
    • progress (bool, optional):  Progress. Defaults to False.
      • \n
    \n\n
    Raises:
    \n\n
      \n
    • FFmpegNormalizeError:  If the ffmpeg executable is not found or does not support the loudnorm filter.
      • \n
    \n"}, "ffmpeg_normalize.FFmpegNormalize.__init__": {"fullname": "ffmpeg_normalize.FFmpegNormalize.__init__", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.__init__", "kind": "function", "doc": "
    \n", "signature": "(\tnormalization_type: Literal['ebu', 'rms', 'peak'] = 'ebu',\ttarget_level: float = -23.0,\tprint_stats: bool = False,\tloudness_range_target: float = 7.0,\tkeep_loudness_range_target: bool = False,\tkeep_lra_above_loudness_range_target: bool = False,\ttrue_peak: float = -2.0,\toffset: float = 0.0,\tlower_only: bool = False,\tdual_mono: bool = False,\tdynamic: bool = False,\taudio_codec: str = 'pcm_s16le',\taudio_bitrate: float | None = None,\tsample_rate: float | int | None = None,\taudio_channels: int | None = None,\tkeep_original_audio: bool = False,\tpre_filter: str | None = None,\tpost_filter: str | None = None,\tvideo_codec: str = 'copy',\tvideo_disable: bool = False,\tsubtitle_disable: bool = False,\tmetadata_disable: bool = False,\tchapters_disable: bool = False,\textra_input_options: list[str] | None = None,\textra_output_options: list[str] | None = None,\toutput_format: str | None = None,\tdry_run: bool = False,\tdebug: bool = False,\tprogress: bool = False)"}, "ffmpeg_normalize.FFmpegNormalize.ffmpeg_exe": {"fullname": "ffmpeg_normalize.FFmpegNormalize.ffmpeg_exe", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.ffmpeg_exe", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.has_loudnorm_capabilities": {"fullname": "ffmpeg_normalize.FFmpegNormalize.has_loudnorm_capabilities", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.has_loudnorm_capabilities", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.normalization_type": {"fullname": "ffmpeg_normalize.FFmpegNormalize.normalization_type", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.normalization_type", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.print_stats": {"fullname": "ffmpeg_normalize.FFmpegNormalize.print_stats", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.print_stats", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.loudness_range_target": {"fullname": "ffmpeg_normalize.FFmpegNormalize.loudness_range_target", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.loudness_range_target", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.keep_loudness_range_target": {"fullname": "ffmpeg_normalize.FFmpegNormalize.keep_loudness_range_target", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.keep_loudness_range_target", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.keep_lra_above_loudness_range_target": {"fullname": "ffmpeg_normalize.FFmpegNormalize.keep_lra_above_loudness_range_target", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.keep_lra_above_loudness_range_target", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.true_peak": {"fullname": "ffmpeg_normalize.FFmpegNormalize.true_peak", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.true_peak", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.offset": {"fullname": "ffmpeg_normalize.FFmpegNormalize.offset", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.offset", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.lower_only": {"fullname": "ffmpeg_normalize.FFmpegNormalize.lower_only", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.lower_only", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.dual_mono": {"fullname": "ffmpeg_normalize.FFmpegNormalize.dual_mono", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.dual_mono", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.dynamic": {"fullname": "ffmpeg_normalize.FFmpegNormalize.dynamic", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.dynamic", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.sample_rate": {"fullname": "ffmpeg_normalize.FFmpegNormalize.sample_rate", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.sample_rate", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.audio_channels": {"fullname": "ffmpeg_normalize.FFmpegNormalize.audio_channels", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.audio_channels", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.audio_codec": {"fullname": "ffmpeg_normalize.FFmpegNormalize.audio_codec", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.audio_codec", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.audio_bitrate": {"fullname": "ffmpeg_normalize.FFmpegNormalize.audio_bitrate", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.audio_bitrate", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.keep_original_audio": {"fullname": "ffmpeg_normalize.FFmpegNormalize.keep_original_audio", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.keep_original_audio", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.video_codec": {"fullname": "ffmpeg_normalize.FFmpegNormalize.video_codec", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.video_codec", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.video_disable": {"fullname": "ffmpeg_normalize.FFmpegNormalize.video_disable", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.video_disable", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.subtitle_disable": {"fullname": "ffmpeg_normalize.FFmpegNormalize.subtitle_disable", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.subtitle_disable", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.metadata_disable": {"fullname": "ffmpeg_normalize.FFmpegNormalize.metadata_disable", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.metadata_disable", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.chapters_disable": {"fullname": "ffmpeg_normalize.FFmpegNormalize.chapters_disable", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.chapters_disable", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.extra_input_options": {"fullname": "ffmpeg_normalize.FFmpegNormalize.extra_input_options", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.extra_input_options", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.extra_output_options": {"fullname": "ffmpeg_normalize.FFmpegNormalize.extra_output_options", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.extra_output_options", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.pre_filter": {"fullname": "ffmpeg_normalize.FFmpegNormalize.pre_filter", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.pre_filter", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.post_filter": {"fullname": "ffmpeg_normalize.FFmpegNormalize.post_filter", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.post_filter", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.output_format": {"fullname": "ffmpeg_normalize.FFmpegNormalize.output_format", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.output_format", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.dry_run": {"fullname": "ffmpeg_normalize.FFmpegNormalize.dry_run", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.dry_run", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.debug": {"fullname": "ffmpeg_normalize.FFmpegNormalize.debug", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.debug", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.progress": {"fullname": "ffmpeg_normalize.FFmpegNormalize.progress", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.progress", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.stats": {"fullname": "ffmpeg_normalize.FFmpegNormalize.stats", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.stats", "kind": "variable", "doc": "
    \n", "annotation": ": list[ffmpeg_normalize._streams.LoudnessStatisticsWithMetadata]"}, "ffmpeg_normalize.FFmpegNormalize.media_files": {"fullname": "ffmpeg_normalize.FFmpegNormalize.media_files", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.media_files", "kind": "variable", "doc": "
    \n", "annotation": ": list[ffmpeg_normalize._media_file.MediaFile]"}, "ffmpeg_normalize.FFmpegNormalize.file_count": {"fullname": "ffmpeg_normalize.FFmpegNormalize.file_count", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.file_count", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.FFmpegNormalize.add_media_file": {"fullname": "ffmpeg_normalize.FFmpegNormalize.add_media_file", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.add_media_file", "kind": "function", "doc": "
    Add a media file to normalize
    \n\n
    Arguments:
    \n\n
      \n
    • input_file (str):  Path to input file
      • \n
    • output_file (str):  Path to output file
      • \n
    \n", "signature": "(self, input_file: str, output_file: str) -> None:", "funcdef": "def"}, "ffmpeg_normalize.FFmpegNormalize.run_normalization": {"fullname": "ffmpeg_normalize.FFmpegNormalize.run_normalization", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.run_normalization", "kind": "function", "doc": "
    Run the normalization procedures
    \n", "signature": "(self) -> None:", "funcdef": "def"}, "ffmpeg_normalize.FFmpegNormalizeError": {"fullname": "ffmpeg_normalize.FFmpegNormalizeError", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalizeError", "kind": "class", "doc": "
    Common base class for all non-exit exceptions.
    \n", "bases": "builtins.Exception"}, "ffmpeg_normalize.MediaFile": {"fullname": "ffmpeg_normalize.MediaFile", "modulename": "ffmpeg_normalize", "qualname": "MediaFile", "kind": "class", "doc": "
    Class that holds a file, its streams and adjustments
    \n"}, "ffmpeg_normalize.MediaFile.__init__": {"fullname": "ffmpeg_normalize.MediaFile.__init__", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.__init__", "kind": "function", "doc": "
    Initialize a media file for later normalization by parsing the streams.
    \n\n
    Arguments:
    \n\n
      \n
    • ffmpeg_normalize (FFmpegNormalize):  reference to overall settings
      • \n
    • input_file (str):  Path to input file
      • \n
    • output_file (str):  Path to output file
      • \n
    \n", "signature": "(\tffmpeg_normalize: ffmpeg_normalize._ffmpeg_normalize.FFmpegNormalize,\tinput_file: str,\toutput_file: str)"}, "ffmpeg_normalize.MediaFile.ffmpeg_normalize": {"fullname": "ffmpeg_normalize.MediaFile.ffmpeg_normalize", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.ffmpeg_normalize", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.MediaFile.skip": {"fullname": "ffmpeg_normalize.MediaFile.skip", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.skip", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.MediaFile.input_file": {"fullname": "ffmpeg_normalize.MediaFile.input_file", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.input_file", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.MediaFile.output_file": {"fullname": "ffmpeg_normalize.MediaFile.output_file", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.output_file", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.MediaFile.output_ext": {"fullname": "ffmpeg_normalize.MediaFile.output_ext", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.output_ext", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.MediaFile.streams": {"fullname": "ffmpeg_normalize.MediaFile.streams", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.streams", "kind": "variable", "doc": "
    \n", "annotation": ": ffmpeg_normalize._media_file.StreamDict"}, "ffmpeg_normalize.MediaFile.parse_streams": {"fullname": "ffmpeg_normalize.MediaFile.parse_streams", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.parse_streams", "kind": "function", "doc": "
    Try to parse all input streams from file and set them in self.streams.
    \n\n
    Raises:
    \n\n
      \n
    • FFmpegNormalizeError:  If no audio streams are found
      • \n
    \n", "signature": "(self) -> None:", "funcdef": "def"}, "ffmpeg_normalize.MediaFile.run_normalization": {"fullname": "ffmpeg_normalize.MediaFile.run_normalization", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.run_normalization", "kind": "function", "doc": "
    Run the normalization process for this file.
    \n", "signature": "(self) -> None:", "funcdef": "def"}, "ffmpeg_normalize.MediaFile.get_stats": {"fullname": "ffmpeg_normalize.MediaFile.get_stats", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.get_stats", "kind": "function", "doc": "
    \n", "signature": "(\tself) -> Iterable[ffmpeg_normalize._streams.LoudnessStatisticsWithMetadata]:", "funcdef": "def"}, "ffmpeg_normalize.AudioStream": {"fullname": "ffmpeg_normalize.AudioStream", "modulename": "ffmpeg_normalize", "qualname": "AudioStream", "kind": "class", "doc": "
    \n", "bases": "ffmpeg_normalize._streams.MediaStream"}, "ffmpeg_normalize.AudioStream.__init__": {"fullname": "ffmpeg_normalize.AudioStream.__init__", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.__init__", "kind": "function", "doc": "
    Create an AudioStream object.
    \n\n
    Arguments:
    \n\n
      \n
    • ffmpeg_normalize (FFmpegNormalize):  The FFmpegNormalize object.
      • \n
    • media_file (MediaFile):  The MediaFile object.
      • \n
    • stream_id (int):  The stream ID.
      • \n
    • sample_rate (int):  sample rate in Hz
      • \n
    • bit_depth (int):  bit depth in bits
      • \n
    • duration (float):  duration in seconds
      • \n
    \n", "signature": "(\tffmpeg_normalize: ffmpeg_normalize._ffmpeg_normalize.FFmpegNormalize,\tmedia_file: ffmpeg_normalize._media_file.MediaFile,\tstream_id: int,\tsample_rate: int | None,\tbit_depth: int | None,\tduration: float | None)"}, "ffmpeg_normalize.AudioStream.loudness_statistics": {"fullname": "ffmpeg_normalize.AudioStream.loudness_statistics", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.loudness_statistics", "kind": "variable", "doc": "
    \n", "annotation": ": ffmpeg_normalize._streams.LoudnessStatistics"}, "ffmpeg_normalize.AudioStream.sample_rate": {"fullname": "ffmpeg_normalize.AudioStream.sample_rate", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.sample_rate", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.AudioStream.bit_depth": {"fullname": "ffmpeg_normalize.AudioStream.bit_depth", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.bit_depth", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.AudioStream.duration": {"fullname": "ffmpeg_normalize.AudioStream.duration", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.duration", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.AudioStream.get_stats": {"fullname": "ffmpeg_normalize.AudioStream.get_stats", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.get_stats", "kind": "function", "doc": "
    Return loudness statistics for the stream.
    \n\n
    Returns:
    \n\n
    \n  
    dict: A dictionary containing the loudness statistics.
    \n
    \n", "signature": "(self) -> ffmpeg_normalize._streams.LoudnessStatisticsWithMetadata:", "funcdef": "def"}, "ffmpeg_normalize.AudioStream.set_second_pass_stats": {"fullname": "ffmpeg_normalize.AudioStream.set_second_pass_stats", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.set_second_pass_stats", "kind": "function", "doc": "
    Set the EBU loudness statistics for the second pass.
    \n\n
    Arguments:
    \n\n
      \n
    • stats (dict):  The EBU loudness statistics.
      • \n
    \n", "signature": "(self, stats: ffmpeg_normalize._streams.EbuLoudnessStatistics):", "funcdef": "def"}, "ffmpeg_normalize.AudioStream.get_pcm_codec": {"fullname": "ffmpeg_normalize.AudioStream.get_pcm_codec", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.get_pcm_codec", "kind": "function", "doc": "
    Get the PCM codec string for the stream.
    \n\n
    Returns:
    \n\n
    \n  
    str: The PCM codec string.
    \n
    \n", "signature": "(self) -> str:", "funcdef": "def"}, "ffmpeg_normalize.AudioStream.parse_astats": {"fullname": "ffmpeg_normalize.AudioStream.parse_astats", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.parse_astats", "kind": "function", "doc": "
    Use ffmpeg with astats filter to get the mean (RMS) and max (peak) volume of the input file.
    \n\n
    Yields:
    \n\n
    \n  
    float: The progress of the command.
    \n
    \n", "signature": "(self) -> Iterator[float]:", "funcdef": "def"}, "ffmpeg_normalize.AudioStream.parse_loudnorm_stats": {"fullname": "ffmpeg_normalize.AudioStream.parse_loudnorm_stats", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.parse_loudnorm_stats", "kind": "function", "doc": "
    Run a first pass loudnorm filter to get measured data.
    \n\n
    Yields:
    \n\n
    \n  
    float: The progress of the command.
    \n
    \n", "signature": "(self) -> Iterator[float]:", "funcdef": "def"}, "ffmpeg_normalize.AudioStream.prune_and_parse_loudnorm_output": {"fullname": "ffmpeg_normalize.AudioStream.prune_and_parse_loudnorm_output", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.prune_and_parse_loudnorm_output", "kind": "function", "doc": "
    Prune ffmpeg progress lines from output and parse the loudnorm filter output.\nThere may be multiple outputs if multiple streams were processed.
    \n\n
    Arguments:
    \n\n
      \n
    • output (str):  The output from ffmpeg.
      • \n
    \n\n
    Returns:
    \n\n
    \n  
    list: The EBU loudness statistics.
    \n
    \n", "signature": "(\toutput: str) -> dict[int, ffmpeg_normalize._streams.EbuLoudnessStatistics]:", "funcdef": "def"}, "ffmpeg_normalize.AudioStream.get_second_pass_opts_ebu": {"fullname": "ffmpeg_normalize.AudioStream.get_second_pass_opts_ebu", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.get_second_pass_opts_ebu", "kind": "function", "doc": "
    Return second pass loudnorm filter options string for ffmpeg
    \n", "signature": "(self) -> str:", "funcdef": "def"}, "ffmpeg_normalize.AudioStream.get_second_pass_opts_peakrms": {"fullname": "ffmpeg_normalize.AudioStream.get_second_pass_opts_peakrms", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.get_second_pass_opts_peakrms", "kind": "function", "doc": "
    Set the adjustment gain based on chosen option and mean/max volume,\nreturn the matching ffmpeg volume filter.
    \n\n
    Returns:
    \n\n
    \n  
    str: ffmpeg volume filter string
    \n
    \n", "signature": "(self) -> str:", "funcdef": "def"}, "ffmpeg_normalize.VideoStream": {"fullname": "ffmpeg_normalize.VideoStream", "modulename": "ffmpeg_normalize", "qualname": "VideoStream", "kind": "class", "doc": "
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    Create a MediaStream object.
    \n\n
    Arguments:
    \n\n
      \n
    • ffmpeg_normalize (FFmpegNormalize):  The FFmpegNormalize object.
      • \n
    • media_file (MediaFile):  The MediaFile object.
      • \n
    • stream_type (Literal[\"audio\", \"video\", \"subtitle\"]):  The type of the stream.
      • \n
    • stream_id (int):  The stream ID.
      • \n
    \n", "signature": "(\tffmpeg_normalize: ffmpeg_normalize._ffmpeg_normalize.FFmpegNormalize,\tmedia_file: ffmpeg_normalize._media_file.MediaFile,\tstream_id: int)"}, "ffmpeg_normalize.SubtitleStream": {"fullname": "ffmpeg_normalize.SubtitleStream", "modulename": "ffmpeg_normalize", "qualname": "SubtitleStream", "kind": "class", "doc": "
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    Create a MediaStream object.
    \n\n
    Arguments:
    \n\n
      \n
    • ffmpeg_normalize (FFmpegNormalize):  The FFmpegNormalize object.
      • \n
    • media_file (MediaFile):  The MediaFile object.
      • \n
    • stream_type (Literal[\"audio\", \"video\", \"subtitle\"]):  The type of the stream.
      • \n
    • stream_id (int):  The stream ID.
      • \n
    \n", "signature": "(\tffmpeg_normalize: ffmpeg_normalize._ffmpeg_normalize.FFmpegNormalize,\tmedia_file: ffmpeg_normalize._media_file.MediaFile,\tstream_id: int)"}, "ffmpeg_normalize.MediaStream": {"fullname": "ffmpeg_normalize.MediaStream", "modulename": "ffmpeg_normalize", "qualname": "MediaStream", "kind": "class", "doc": "
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    Create a MediaStream object.
    \n\n
    Arguments:
    \n\n
      \n
    • ffmpeg_normalize (FFmpegNormalize):  The FFmpegNormalize object.
      • \n
    • media_file (MediaFile):  The MediaFile object.
      • \n
    • stream_type (Literal[\"audio\", \"video\", \"subtitle\"]):  The type of the stream.
      • \n
    • stream_id (int):  The stream ID.
      • \n
    \n", "signature": "(\tffmpeg_normalize: ffmpeg_normalize._ffmpeg_normalize.FFmpegNormalize,\tmedia_file: ffmpeg_normalize._media_file.MediaFile,\tstream_type: Literal['audio', 'video', 'subtitle'],\tstream_id: int)"}, "ffmpeg_normalize.MediaStream.ffmpeg_normalize": {"fullname": "ffmpeg_normalize.MediaStream.ffmpeg_normalize", "modulename": "ffmpeg_normalize", "qualname": "MediaStream.ffmpeg_normalize", "kind": "variable", "doc": "
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+    /** pdoc search index */const docs = {"version": "0.9.5", "fields": ["qualname", "fullname", "annotation", "default_value", "signature", "bases", "doc"], "ref": "fullname", "documentStore": {"docs": {"ffmpeg_normalize": {"fullname": "ffmpeg_normalize", "modulename": "ffmpeg_normalize", "kind": "module", "doc": "
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    ffmpeg-normalize class.
    \n\n
    Arguments:
    \n\n
      \n
    • normalization_type (str, optional):  Normalization type. Defaults to \"ebu\".
      • \n
    • target_level (float, optional):  Target level. Defaults to -23.0.
      • \n
    • print_stats (bool, optional):  Print loudnorm stats. Defaults to False.
      • \n
    • loudness_range_target (float, optional):  Loudness range target. Defaults to 7.0.
      • \n
    • keep_loudness_range_target (bool, optional):  Keep loudness range target. Defaults to False.
      • \n
    • keep_lra_above_loudness_range_target (bool, optional):  Keep input loudness range above loudness range target. Defaults to False.
      • \n
    • true_peak (float, optional):  True peak. Defaults to -2.0.
      • \n
    • offset (float, optional):  Offset. Defaults to 0.0.
      • \n
    • lower_only (bool, optional):  Whether the audio should not increase in loudness. Defaults to False.
      • \n
    • auto_lower_loudness_target (bool, optional):  Automatically lower EBU Integrated Loudness Target.
      • \n
    • dual_mono (bool, optional):  Dual mono. Defaults to False.
      • \n
    • dynamic (bool, optional):  Dynamic. Defaults to False.
      • \n
    • audio_codec (str, optional):  Audio codec. Defaults to \"pcm_s16le\".
      • \n
    • audio_bitrate (float, optional):  Audio bitrate. Defaults to None.
      • \n
    • sample_rate (int, optional):  Sample rate. Defaults to None.
      • \n
    • audio_channels (int | None, optional):  Audio channels. Defaults to None.
      • \n
    • keep_original_audio (bool, optional):  Keep original audio. Defaults to False.
      • \n
    • pre_filter (str, optional):  Pre filter. Defaults to None.
      • \n
    • post_filter (str, optional):  Post filter. Defaults to None.
      • \n
    • video_codec (str, optional):  Video codec. Defaults to \"copy\".
      • \n
    • video_disable (bool, optional):  Disable video. Defaults to False.
      • \n
    • subtitle_disable (bool, optional):  Disable subtitles. Defaults to False.
      • \n
    • metadata_disable (bool, optional):  Disable metadata. Defaults to False.
      • \n
    • chapters_disable (bool, optional):  Disable chapters. Defaults to False.
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    • extra_input_options (list, optional):  Extra input options. Defaults to None.
      • \n
    • extra_output_options (list, optional):  Extra output options. Defaults to None.
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      • \n
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      • \n
    • debug (bool, optional):  Debug. Defaults to False.
      • \n
    • progress (bool, optional):  Progress. Defaults to False.
      • \n
    \n\n
    Raises:
    \n\n
      \n
    • FFmpegNormalizeError:  If the ffmpeg executable is not found or does not support the loudnorm filter.
      • \n
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    Add a media file to normalize
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    \n\n
      \n
    • input_file (str):  Path to input file
      • \n
    • output_file (str):  Path to output file
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    • ffmpeg_normalize (FFmpegNormalize):  reference to overall settings
      • \n
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      • \n
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      • \n
    \n", "signature": "(\tffmpeg_normalize: ffmpeg_normalize._ffmpeg_normalize.FFmpegNormalize,\tinput_file: str,\toutput_file: str)"}, "ffmpeg_normalize.MediaFile.ffmpeg_normalize": {"fullname": "ffmpeg_normalize.MediaFile.ffmpeg_normalize", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.ffmpeg_normalize", "kind": "variable", "doc": "
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    \n"}, "ffmpeg_normalize.MediaFile.input_file": {"fullname": "ffmpeg_normalize.MediaFile.input_file", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.input_file", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.MediaFile.output_file": {"fullname": "ffmpeg_normalize.MediaFile.output_file", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.output_file", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.MediaFile.output_ext": {"fullname": "ffmpeg_normalize.MediaFile.output_ext", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.output_ext", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.MediaFile.streams": {"fullname": "ffmpeg_normalize.MediaFile.streams", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.streams", "kind": "variable", "doc": "
    \n", "annotation": ": ffmpeg_normalize._media_file.StreamDict"}, "ffmpeg_normalize.MediaFile.parse_streams": {"fullname": "ffmpeg_normalize.MediaFile.parse_streams", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.parse_streams", "kind": "function", "doc": "
    Try to parse all input streams from file and set them in self.streams.
    \n\n
    Raises:
    \n\n
      \n
    • FFmpegNormalizeError:  If no audio streams are found
      • \n
    \n", "signature": "(self) -> None:", "funcdef": "def"}, "ffmpeg_normalize.MediaFile.run_normalization": {"fullname": "ffmpeg_normalize.MediaFile.run_normalization", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.run_normalization", "kind": "function", "doc": "
    Run the normalization process for this file.
    \n", "signature": "(self) -> None:", "funcdef": "def"}, "ffmpeg_normalize.MediaFile.get_stats": {"fullname": "ffmpeg_normalize.MediaFile.get_stats", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.get_stats", "kind": "function", "doc": "
    \n", "signature": "(\tself) -> Iterable[ffmpeg_normalize._streams.LoudnessStatisticsWithMetadata]:", "funcdef": "def"}, "ffmpeg_normalize.AudioStream": {"fullname": "ffmpeg_normalize.AudioStream", "modulename": "ffmpeg_normalize", "qualname": "AudioStream", "kind": "class", "doc": "
    \n", "bases": "ffmpeg_normalize._streams.MediaStream"}, "ffmpeg_normalize.AudioStream.__init__": {"fullname": "ffmpeg_normalize.AudioStream.__init__", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.__init__", "kind": "function", "doc": "
    Create an AudioStream object.
    \n\n
    Arguments:
    \n\n
      \n
    • ffmpeg_normalize (FFmpegNormalize):  The FFmpegNormalize object.
      • \n
    • media_file (MediaFile):  The MediaFile object.
      • \n
    • stream_id (int):  The stream ID.
      • \n
    • sample_rate (int):  sample rate in Hz
      • \n
    • bit_depth (int):  bit depth in bits
      • \n
    • duration (float):  duration in seconds
      • \n
    \n", "signature": "(\tffmpeg_normalize: ffmpeg_normalize._ffmpeg_normalize.FFmpegNormalize,\tmedia_file: ffmpeg_normalize._media_file.MediaFile,\tstream_id: int,\tsample_rate: int | None,\tbit_depth: int | None,\tduration: float | None)"}, "ffmpeg_normalize.AudioStream.loudness_statistics": {"fullname": "ffmpeg_normalize.AudioStream.loudness_statistics", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.loudness_statistics", "kind": "variable", "doc": "
    \n", "annotation": ": ffmpeg_normalize._streams.LoudnessStatistics"}, "ffmpeg_normalize.AudioStream.sample_rate": {"fullname": "ffmpeg_normalize.AudioStream.sample_rate", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.sample_rate", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.AudioStream.bit_depth": {"fullname": "ffmpeg_normalize.AudioStream.bit_depth", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.bit_depth", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.AudioStream.duration": {"fullname": "ffmpeg_normalize.AudioStream.duration", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.duration", "kind": "variable", "doc": "
    \n"}, "ffmpeg_normalize.AudioStream.get_stats": {"fullname": "ffmpeg_normalize.AudioStream.get_stats", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.get_stats", "kind": "function", "doc": "
    Return loudness statistics for the stream.
    \n\n
    Returns:
    \n\n
    \n  
    dict: A dictionary containing the loudness statistics.
    \n
    \n", "signature": "(self) -> ffmpeg_normalize._streams.LoudnessStatisticsWithMetadata:", "funcdef": "def"}, "ffmpeg_normalize.AudioStream.set_second_pass_stats": {"fullname": "ffmpeg_normalize.AudioStream.set_second_pass_stats", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.set_second_pass_stats", "kind": "function", "doc": "
    Set the EBU loudness statistics for the second pass.
    \n\n
    Arguments:
    \n\n
      \n
    • stats (dict):  The EBU loudness statistics.
      • \n
    \n", "signature": "(self, stats: ffmpeg_normalize._streams.EbuLoudnessStatistics) -> None:", "funcdef": "def"}, "ffmpeg_normalize.AudioStream.get_pcm_codec": {"fullname": "ffmpeg_normalize.AudioStream.get_pcm_codec", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.get_pcm_codec", "kind": "function", "doc": "
    Get the PCM codec string for the stream.
    \n\n
    Returns:
    \n\n
    \n  
    str: The PCM codec string.
    \n
    \n", "signature": "(self) -> str:", "funcdef": "def"}, "ffmpeg_normalize.AudioStream.parse_astats": {"fullname": "ffmpeg_normalize.AudioStream.parse_astats", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.parse_astats", "kind": "function", "doc": "
    Use ffmpeg with astats filter to get the mean (RMS) and max (peak) volume of the input file.
    \n\n
    Yields:
    \n\n
    \n  
    float: The progress of the command.
    \n
    \n", "signature": "(self) -> Iterator[float]:", "funcdef": "def"}, "ffmpeg_normalize.AudioStream.parse_loudnorm_stats": {"fullname": "ffmpeg_normalize.AudioStream.parse_loudnorm_stats", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.parse_loudnorm_stats", "kind": "function", "doc": "
    Run a first pass loudnorm filter to get measured data.
    \n\n
    Yields:
    \n\n
    \n  
    float: The progress of the command.
    \n
    \n", "signature": "(self) -> Iterator[float]:", "funcdef": "def"}, "ffmpeg_normalize.AudioStream.prune_and_parse_loudnorm_output": {"fullname": "ffmpeg_normalize.AudioStream.prune_and_parse_loudnorm_output", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.prune_and_parse_loudnorm_output", "kind": "function", "doc": "
    Prune ffmpeg progress lines from output and parse the loudnorm filter output.\nThere may be multiple outputs if multiple streams were processed.
    \n\n
    Arguments:
    \n\n
      \n
    • output (str):  The output from ffmpeg.
      • \n
    \n\n
    Returns:
    \n\n
    \n  
    list: The EBU loudness statistics.
    \n
    \n", "signature": "(\toutput: str) -> dict[int, ffmpeg_normalize._streams.EbuLoudnessStatistics]:", "funcdef": "def"}, "ffmpeg_normalize.AudioStream.get_second_pass_opts_ebu": {"fullname": "ffmpeg_normalize.AudioStream.get_second_pass_opts_ebu", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.get_second_pass_opts_ebu", "kind": "function", "doc": "
    Return second pass loudnorm filter options string for ffmpeg
    \n", "signature": "(self) -> str:", "funcdef": "def"}, "ffmpeg_normalize.AudioStream.get_second_pass_opts_peakrms": {"fullname": "ffmpeg_normalize.AudioStream.get_second_pass_opts_peakrms", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.get_second_pass_opts_peakrms", "kind": "function", "doc": "
    Set the adjustment gain based on chosen option and mean/max volume,\nreturn the matching ffmpeg volume filter.
    \n\n
    Returns:
    \n\n
    \n  
    str: ffmpeg volume filter string
    \n
    \n", "signature": "(self) -> str:", "funcdef": "def"}, "ffmpeg_normalize.VideoStream": {"fullname": "ffmpeg_normalize.VideoStream", "modulename": "ffmpeg_normalize", "qualname": "VideoStream", "kind": "class", "doc": "
    \n", "bases": "ffmpeg_normalize._streams.MediaStream"}, "ffmpeg_normalize.VideoStream.__init__": {"fullname": "ffmpeg_normalize.VideoStream.__init__", "modulename": "ffmpeg_normalize", "qualname": "VideoStream.__init__", "kind": "function", "doc": "
    Create a MediaStream object.
    \n\n
    Arguments:
    \n\n
      \n
    • ffmpeg_normalize (FFmpegNormalize):  The FFmpegNormalize object.
      • \n
    • media_file (MediaFile):  The MediaFile object.
      • \n
    • stream_type (Literal[\"audio\", \"video\", \"subtitle\"]):  The type of the stream.
      • \n
    • stream_id (int):  The stream ID.
      • \n
    \n", "signature": "(\tffmpeg_normalize: ffmpeg_normalize._ffmpeg_normalize.FFmpegNormalize,\tmedia_file: ffmpeg_normalize._media_file.MediaFile,\tstream_id: int)"}, "ffmpeg_normalize.SubtitleStream": {"fullname": "ffmpeg_normalize.SubtitleStream", "modulename": "ffmpeg_normalize", "qualname": "SubtitleStream", "kind": "class", "doc": "
    \n", "bases": "ffmpeg_normalize._streams.MediaStream"}, "ffmpeg_normalize.SubtitleStream.__init__": {"fullname": "ffmpeg_normalize.SubtitleStream.__init__", "modulename": "ffmpeg_normalize", "qualname": "SubtitleStream.__init__", "kind": "function", "doc": "
    Create a MediaStream object.
    \n\n
    Arguments:
    \n\n
      \n
    • ffmpeg_normalize (FFmpegNormalize):  The FFmpegNormalize object.
      • \n
    • media_file (MediaFile):  The MediaFile object.
      • \n
    • stream_type (Literal[\"audio\", \"video\", \"subtitle\"]):  The type of the stream.
      • \n
    • stream_id (int):  The stream ID.
      • \n
    \n", "signature": "(\tffmpeg_normalize: ffmpeg_normalize._ffmpeg_normalize.FFmpegNormalize,\tmedia_file: ffmpeg_normalize._media_file.MediaFile,\tstream_id: int)"}, "ffmpeg_normalize.MediaStream": {"fullname": "ffmpeg_normalize.MediaStream", "modulename": "ffmpeg_normalize", "qualname": "MediaStream", "kind": "class", "doc": "
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    Create a MediaStream object.
    \n\n
    Arguments:
    \n\n
      \n
    • ffmpeg_normalize (FFmpegNormalize):  The FFmpegNormalize object.
      • \n
    • media_file (MediaFile):  The MediaFile object.
      • \n
    • stream_type (Literal[\"audio\", \"video\", \"subtitle\"]):  The type of the stream.
      • \n
    • stream_id (int):  The stream ID.
      • \n
    \n", "signature": "(\tffmpeg_normalize: ffmpeg_normalize._ffmpeg_normalize.FFmpegNormalize,\tmedia_file: ffmpeg_normalize._media_file.MediaFile,\tstream_type: Literal['audio', 'video', 'subtitle'],\tstream_id: int)"}, "ffmpeg_normalize.MediaStream.ffmpeg_normalize": {"fullname": "ffmpeg_normalize.MediaStream.ffmpeg_normalize", "modulename": "ffmpeg_normalize", "qualname": "MediaStream.ffmpeg_normalize", "kind": "variable", "doc": "
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{"docs": {"ffmpeg_normalize.AudioStream.parse_astats": {"tf": 1}}, "df": 1}}}, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"ffmpeg_normalize.AudioStream.parse_astats": {"tf": 1}, "ffmpeg_normalize.AudioStream.parse_loudnorm_stats": {"tf": 1}}, "df": 2}}}}}}}}}, "pipeline": ["trimmer"], "_isPrebuiltIndex": true};
 
     // mirrored in build-search-index.js (part 1)
     // Also split on html tags. this is a cheap heuristic, but good enough.
diff --git a/ffmpeg_normalize/_version.py b/ffmpeg_normalize/_version.py
index da2178f..ac4c647 100644
--- a/ffmpeg_normalize/_version.py
+++ b/ffmpeg_normalize/_version.py
@@ -1 +1 @@
-__version__ = "1.30.0"
+__version__ = "1.31.0"