Merge remote-tracking branch 'origin/main' into... (84c4bd99) · Commits · IVAS Codec Public Collaboration / IVAS Codec

apps/decoder.c

+67 −46

Original line number	Diff line number	Diff line
		@@ -568,6 +568,10 @@ int main(
		}
		}
		#else
		/-----------------------------------------------------------------
		* Print config information
		-----------------------------------------------------------------/

		if ( ( error = IVAS_DEC_PrintConfig( hIvasDec, 1, arg.voipMode ) ) != IVAS_ERR_OK )
		{
		fprintf( stderr, "\nIVAS_DEC_PrintConfig failed: %s\n\n", IVAS_DEC_GetErrorMessage( error ) );
		@@ -833,6 +837,7 @@ cleanup:
		free( arg.aeSequence.pID );
		free( arg.aeSequence.pValidity );
		}

		#ifdef DEBUG_SBA_AUDIO_DUMP
		IVAS_DEC_GetSbaDebugParams( hIvasDec, &numOutChannels, &numTransportChannels, &pca_ingest_channels );

		@@ -1223,7 +1228,6 @@ static bool parseCmdlIVAS_dec(
		}
		#endif
		#endif /* #ifdef DEBUGGING */

		else if ( strcmp( argv_to_upper, "-MIME" ) == 0 )
		{
		arg->inputFormat = IVAS_DEC_INPUT_FORMAT_MIME;
		@@ -1248,6 +1252,7 @@ static bool parseCmdlIVAS_dec(
		{
		int32_t tmp;
		i++;

		if ( i < argc - 3 )
		{
		if ( !is_digits_only( argv[i] ) )
		@@ -1281,7 +1286,6 @@ static bool parseCmdlIVAS_dec(
		}
		else if ( strcmp( argv_to_upper, "-OTR" ) == 0 )
		{

		strncpy( argv_to_upper, argv[i + 1], sizeof( argv_to_upper ) - 1 );
		argv_to_upper[sizeof( argv_to_upper ) - 1] = '\0';
		to_upper( argv_to_upper );
		@@ -1390,6 +1394,7 @@ static bool parseCmdlIVAS_dec(
		strncpy( argv_to_upper, argv[i], sizeof( argv_to_upper ) - 1 );
		argv_to_upper[sizeof( argv_to_upper ) - 1] = '\0';
		to_upper( argv_to_upper );

		if ( ( strcmp( argv_to_upper, "CENTER" ) == 0 ) \|\| ( strchr( argv_to_upper, 'C' ) != NULL ) )
		{
		arg->non_diegetic_pan_gain = 0.f;
		@@ -1587,6 +1592,7 @@ static bool parseCmdlIVAS_dec(
		/-----------------------------------------------------------------
		* Option not recognized
		-----------------------------------------------------------------/

		else
		{
		fprintf( stderr, "Error: Unknown option %s or wrong number of parameters!\n\n", argv[i] );
		@@ -1841,6 +1847,35 @@ static int16_t app_own_random( int16_t *seed )
		}
		#endif

		/---------------------------------------------------------------------
		* resetHeadRotation()
		*
		*
		---------------------------------------------------------------------/

		static void resetHeadRotation(
		const int16_t num_subframes, /* i : number of subframes */
		IVAS_QUATERNION pQuaternion, / o : head-tracking data */
		IVAS_VECTOR3 pPos / o : listener position */

		)
		{
		int16_t i;

		for ( i = 0; i < num_subframes; i++ )
		{
		pQuaternion[i].w = -3.0f;
		pQuaternion[i].x = 0.0f;
		pQuaternion[i].y = 0.0f;
		pQuaternion[i].z = 0.0f;
		pPos[i].x = 0.0f;
		pPos[i].y = 0.0f;
		pPos[i].z = 0.0f;
		}

		return;
		}


		/---------------------------------------------------------------------
		* initOnFirstGoodFrame()
		@@ -2162,6 +2197,7 @@ static ivas_error initOnFirstGoodFrame(
		fprintf( stderr, "\nError getting render frame size in samples\n" );
		return error;
		}

		if ( ( error = IVAS_DEC_GetReferencesUpdateFrequency( hIvasDec, vec_pos_len ) ) != IVAS_ERR_OK )
		{
		fprintf( stderr, "\nError getting render frame size in samples\n" );
		@@ -2289,7 +2325,6 @@ static ivas_error decodeG192(
		/* we always start with needing a new frame */
		needNewFrame = true;


		if ( !arg.quietModeEnabled )
		{
		fprintf( stdout, "\n------ Running the decoder ------\n\n" );
		@@ -2366,8 +2401,6 @@ static ivas_error decodeG192(

		while ( 1 )
		{
		/* Read next frame if not enough samples availble */

		/* reference vector */
		if ( arg.enableReferenceVectorTracking && vec_pos_update == 0 )
		{
		@@ -2414,16 +2447,7 @@ static ivas_error decodeG192(
		{
		if ( headRotReader == NULL )
		{
		for ( i = 0; i < (int16_t) num_subframes; i++ )
		{
		Quaternions[i].w = -3.0f;
		Quaternions[i].x = 0.0f;
		Quaternions[i].y = 0.0f;
		Quaternions[i].z = 0.0f;
		Pos[i].x = 0.0f;
		Pos[i].y = 0.0f;
		Pos[i].z = 0.0f;
		}
		resetHeadRotation( num_subframes, Quaternions, Pos );
		}
		else
		{
		@@ -2637,9 +2661,6 @@ static ivas_error decodeG192(
		fprintf( stderr, "\nError in IVAS_DEC_GetSplitBinauralBitstream: %s\n", IVAS_DEC_GetErrorMessage( error ) );
		goto cleanup;
		}

		nSamplesRendered += nSamplesRendered_loop;
		nSamplesToRender -= nSamplesRendered_loop;
		}
		else
		{
		@@ -2648,10 +2669,10 @@ static ivas_error decodeG192(
		fprintf( stderr, "\nError in IVAS_DEC_GetSamplesRenderer(): %s\n", IVAS_DEC_GetErrorMessage( error ) );
		goto cleanup;
		}
		}

		nSamplesRendered += nSamplesRendered_loop;
		nSamplesToRender -= nSamplesRendered_loop;
		}

		if ( needNewFrame )
		{
		@@ -2727,7 +2748,7 @@ static ivas_error decodeG192(
		}
		}

		/* Write ISm metadata to external file(s) */
		/* Write ISM metadata to external file(s) */
		if ( decodedGoodFrame && arg.outputConfig == IVAS_AUDIO_CONFIG_EXTERNAL )
		{
		if ( bsFormat == IVAS_DEC_BS_OBJ \|\| bsFormat == IVAS_DEC_BS_MASA_ISM \|\| bsFormat == IVAS_DEC_BS_SBA_ISM )
		@@ -2767,6 +2788,7 @@ static ivas_error decodeG192(
		{
		fprintf( stderr, "\nUnable to get delay of decoder: %s\n", ivas_error_to_string( error ) );
		}

		if ( ( error = IVAS_DEC_GetMasaMetadata( hIvasDec, &hMasaExtOutMeta, 0 ) ) != IVAS_ERR_OK )
		{
		fprintf( stderr, "\nError in IVAS_DEC_GetMasaMetadata: %s\n", IVAS_DEC_GetErrorMessage( error ) );
		@@ -2781,6 +2803,7 @@ static ivas_error decodeG192(
		}
		}
		}

		vec_pos_update = ( vec_pos_update + 1 ) % vec_pos_len;
		#ifdef WMOPS
		if ( vec_pos_update == 0 )
		@@ -2799,8 +2822,6 @@ static ivas_error decodeG192(
		{
		int16_t nSamplesFlushed;

		/* Feed into decoder */

		/* reference vector */
		if ( arg.enableReferenceVectorTracking )
		{
		@@ -2864,7 +2885,7 @@ static ivas_error decodeG192(
		}
		}

		/* decode and get samples */
		/* flush remaining audio */
		if ( ( error = IVAS_DEC_Flush( hIvasDec, nOutSamples, IVAS_DEC_PCM_INT16, (void *) pcmBuf, &nSamplesFlushed ) ) != IVAS_ERR_OK )
		{
		fprintf( stderr, "\nError in IVAS_DEC_VoIP_Flush: %s\n", IVAS_DEC_GetErrorMessage( error ) );
		@@ -2878,7 +2899,7 @@ static ivas_error decodeG192(
		goto cleanup;
		}

		/* Write ISm metadata to external file(s) */
		/* Write ISM metadata to external file(s) */
		if ( decodedGoodFrame && arg.outputConfig == IVAS_AUDIO_CONFIG_EXTERNAL )
		{
		if ( bsFormat == IVAS_DEC_BS_OBJ \|\| bsFormat == IVAS_DEC_BS_MASA_ISM \|\| bsFormat == IVAS_DEC_BS_SBA_ISM )
		@@ -2917,6 +2938,7 @@ static ivas_error decodeG192(
		{
		fprintf( stderr, "\nUnable to get delay of decoder: %s\n", ivas_error_to_string( error ) );
		}

		if ( ( error = IVAS_DEC_GetMasaMetadata( hIvasDec, &hMasaExtOutMeta, 0 ) ) != IVAS_ERR_OK )
		{
		fprintf( stderr, "\nError in IVAS_DEC_GetMasaMetadata: %s\n", IVAS_DEC_GetErrorMessage( error ) );
		@@ -3112,7 +3134,15 @@ cleanup:
		#endif

		#ifdef SUPPORT_JBM_TRACEFILE
		static ivas_error writeJbmTraceFileFrameWrapper( const void data, void writer )
		/---------------------------------------------------------------------
		* writeJbmTraceFileFrameWrapper()
		*
		*
		---------------------------------------------------------------------/

		static ivas_error writeJbmTraceFileFrameWrapper(
		const void *data,
		void *writer )
		{
		return JbmTraceFileWriter_writeFrame( data, writer );
		}
		@@ -3217,11 +3247,13 @@ static ivas_error decodeVoIP(
		fprintf( stderr, "\nError getting render frame size in samples\n" );
		return error;
		}

		if ( ( error = IVAS_DEC_GetRenderFramesizeSamples( hIvasDec, &nOutSamples ) ) != IVAS_ERR_OK )
		{
		fprintf( stderr, "\nError getting render frame size in samples\n" );
		return error;
		}

		if ( ( error = IVAS_DEC_GetReferencesUpdateFrequency( hIvasDec, &vec_pos_len ) ) != IVAS_ERR_OK )
		{
		fprintf( stderr, "\nError getting render frame size in samples\n" );
		@@ -3263,8 +3295,8 @@ static ivas_error decodeVoIP(
		}
		fprintf( stdout, "JBM trace file: %s\n", arg.jbmTraceFilename );
		}
		#endif

		#endif
		if ( arg.jbmOffsetFilename != NULL )
		{
		if ( ( error = JbmOffsetFileWriter_open( arg.jbmOffsetFilename, &jbmOffsetWriter ) ) != IVAS_ERR_OK )
		@@ -3387,16 +3419,7 @@ static ivas_error decodeVoIP(
		{
		if ( headRotReader == NULL )
		{
		for ( i = 0; i < (int16_t) num_subframes; i++ )
		{
		Quaternions[i].w = -3.0f;
		Quaternions[i].x = 0.0f;
		Quaternions[i].y = 0.0f;
		Quaternions[i].z = 0.0f;
		Pos[i].x = 0.0f;
		Pos[i].y = 0.0f;
		Pos[i].z = 0.0f;
		}
		resetHeadRotation( num_subframes, Quaternions, Pos );
		}
		else
		{
		@@ -3404,8 +3427,7 @@ static ivas_error decodeVoIP(
		{
		if ( ( error = HeadRotationFileReading( headRotReader, &Quaternions[i], &Pos[i] ) ) != IVAS_ERR_OK )
		{
		fprintf( stderr, "\nError %s while reading head orientation from %s\n", IVAS_DEC_GetErrorMessage( error ),
		RotationFileReader_getFilePath( headRotReader ) );
		fprintf( stderr, "\nError %s while reading head orientation from %s\n", IVAS_DEC_GetErrorMessage( error ), RotationFileReader_getFilePath( headRotReader ) );
		goto cleanup;
		}
		}
		@@ -3430,11 +3452,9 @@ static ivas_error decodeVoIP(

		for ( i = 0; i < (int16_t) num_subframes; i++ )
		{

		if ( ( error = ExternalOrientationFileReading( externalOrientationFileReader, &Quaternions[i], &enableHeadRotation[i], &enableExternalOrientation[i], &enableRotationInterpolation[i], &numFramesToTargetOrientation[i] ) ) != IVAS_ERR_OK )
		{
		fprintf( stderr, "\nError %s while reading external orientation from %s\n", IVAS_DEC_GetErrorMessage( error ),
		RotationFileReader_getFilePath( externalOrientationFileReader ) );
		fprintf( stderr, "\nError %s while reading external orientation from %s\n", IVAS_DEC_GetErrorMessage( error ), RotationFileReader_getFilePath( externalOrientationFileReader ) );
		goto cleanup;
		}
		}
		@@ -3751,6 +3771,7 @@ static ivas_error decodeVoIP(
		{
		fprintf( stderr, "\nUnable to get delay of decoder: %s\n", ivas_error_to_string( error ) );
		}

		if ( ( error = IVAS_DEC_GetMasaMetadata( hIvasDec, &hMasaExtOutMeta, 1 ) ) != IVAS_ERR_OK )
		{
		fprintf( stderr, "\nError in IVAS_DEC_GetMasaMetadata: %s\n", IVAS_DEC_GetErrorMessage( error ) );
		@@ -3804,10 +3825,9 @@ static ivas_error decodeVoIP(
		#endif
		}


		int16_t nSamplesFlushed = 0;

		/* decode and get samples */
		/* flush remaining audio */
		if ( ( error = IVAS_DEC_Flush( hIvasDec, nOutSamples, IVAS_DEC_PCM_INT16, (void *) pcmBuf, &nSamplesFlushed ) ) != IVAS_ERR_OK )
		{
		fprintf( stderr, "\nError in IVAS_DEC_VoIP_Flush: %s\n", IVAS_DEC_GetErrorMessage( error ) );
		@@ -3823,7 +3843,7 @@ static ivas_error decodeVoIP(
		goto cleanup;
		}

		/* Write ISm metadata to external file(s) */
		/* Write ISM metadata to external file(s) */
		if ( decodedGoodFrame && arg.outputConfig == IVAS_AUDIO_CONFIG_EXTERNAL )
		{
		if ( bsFormat == IVAS_DEC_BS_OBJ \|\| bsFormat == IVAS_DEC_BS_MASA_ISM \|\| bsFormat == IVAS_DEC_BS_SBA_ISM )
		@@ -3863,6 +3883,7 @@ static ivas_error decodeVoIP(
		{
		fprintf( stderr, "\nUnable to get delay of decoder: %s\n", ivas_error_to_string( error ) );
		}

		if ( ( error = IVAS_DEC_GetMasaMetadata( hIvasDec, &hMasaExtOutMeta, 0 ) ) != IVAS_ERR_OK )
		{
		fprintf( stderr, "\nError in IVAS_DEC_GetMasaMetadata: %s\n", IVAS_DEC_GetErrorMessage( error ) );

apps/encoder.c

+1 −1

Original line number	Diff line number	Diff line
		@@ -1336,7 +1336,6 @@ static bool parseCmdlIVAS_enc(
		++i;
		}


		/-----------------------------------------------------------------
		* Complexity Level
		-----------------------------------------------------------------/
		@@ -2236,6 +2235,7 @@ static bool readBitrate(

		fprintf( stderr, "Error: cannot read the bitrate profile file\n\n" );
		usage_enc();

		return false;
		}

ci/basop-pages/basop_index.html

+11 −1

Original line number	Diff line number	Diff line
		@@ -7,7 +7,17 @@

		<h2>Regression tracking</h2>

		<li><a href="long_term_regression.html">Long term regression</a></li>
		<ul>
		<li><a href="long_term_mld_enc.html">Long term MLD encoder</a></li>
		<li><a href="long_term_mld_dec.html">Long term MLD decoder</a></li>
		<li><a href="long_term_mld_dec_reject_JBM_BINAURAL_ROOM_REVERB.html">Long term MLD decoder - excluding JBM and BINAURAL_ROOM_REVERB</a></li>
		<li><a href="long_term_max_abs_diff_enc.html">Long term MAX_ABS_DIFF encoder</a></li>
		<li><a href="long_term_max_abs_diff_dec.html">Long term MAX_ABS_DIFF decoder</a></li>
		<li><a href="long_term_max_abs_diff_dec_reject_JBM_BINAURAL_ROOM_REVERB.html">Long term MAX_ABS_DIFF decoder - excluding JBM and BINAURAL_ROOM_REVERB</a></li>

		<li><a href="detect_regressions.html">Detect MLD regressions</a></li>
		<li><a href="detect_regressions.csv">detect_regressions.csv</a></li>
		</ul>

		<h2>Daily long testvector tests</h2>

ci/process_long_term_logs.py

+139 −71

Original line number	Diff line number	Diff line
		#!/usr/bin/env python3

		import os
		import pandas as pd
		import argparse
		import plotly.express as px
		import re
		import plotly.graph_objects as go
		from plotly.subplots import make_subplots

		@@ -23,15 +25,18 @@ def read_csv_files(root_dir):


		def parse_csv_data(csv_data):
		"""keep 'testcase', 'format', 'MLD', 'MAX_ABS_DIFF' and add
		'date' column."""
		cols_to_keep = ["testcase", "format", "MLD", "MAX_ABS_DIFF"]
		"""keep 'testcase', 'format', 'MLD', 'MAX_ABS_DIFF', 'MIN_ODG', 'MIN_SSNR' and add
		'date' and 'job' column."""
		cols_to_keep = ["testcase", "format", "MLD", "MAX_ABS_DIFF", "MIN_ODG", "MIN_SSNR"]
		parsed_data = {}
		for key, df in csv_data.items():
		tmp = key.split("-")
		job = "-".join(tmp[4:-4])
		cols = [col for col in cols_to_keep if col in df.columns]
		date = os.path.basename(os.path.dirname(key))
		new_df = df[cols].copy()
		new_df["date"] = date
		new_df["job"] = job
		parsed_data[key] = new_df

		# concatenate all dataframe in the dictionary
		@@ -39,38 +44,67 @@ def parse_csv_data(csv_data):
		return concat_df


		def plot_data(df, output_filename):
		"""plot max values for 'MLD' and 'MAX_ABS_DIFF' data and save
		def plot_data(df, args):
		"""plot max values for measure and data and save
		to html file."""

		measure = args.measure
		days = args.days

		# Convert 'date' to datetime
		df["date"] = pd.to_datetime(df["date"], errors="coerce")
		df["MLD"] = pd.to_numeric(df["MLD"], errors="coerce")
		df["MAX_ABS_DIFF"] = pd.to_numeric(df["MAX_ABS_DIFF"], errors="coerce")
		df[measure] = pd.to_numeric(df[measure], errors="coerce")

		# Filter out rows older than "days"
		cutoff = df["date"].max() - pd.Timedelta(days=days)
		df = df[df["date"] > cutoff].reset_index(drop=True)

		# Drop rows with NaT and NaN
		clean_df = df.dropna(subset=["date", "MLD", "MAX_ABS_DIFF"])
		df = df.dropna(subset=["date", measure])

		# Filter test cases based on include/reject/match arguments
		if args.include:
		mask = pd.Series(False, index=df.index)
		for tag in args.include:
		mask \|= df["testcase"].str.contains(tag, case=False, na=False)
		df = df[mask]
		if args.reject:
		mask = pd.Series(False, index=df.index)
		for tag in args.reject:
		mask \|= df["testcase"].str.contains(tag, case=False, na=False)
		df = df[~mask]
		if args.match:
		pattern = re.compile(args.match, re.IGNORECASE)
		df = df[df["testcase"].str.contains(pattern, na=False)]

		# Filter jobs based on job-include/job-reject/job-match arguments
		if args.job_include:
		mask = pd.Series(False, index=df.index)
		for tag in args.job_include:
		mask \|= df["job"].str.contains(tag, case=False, na=False)
		df = df[mask]
		if args.job_reject:
		mask = pd.Series(False, index=df.index)
		for tag in args.job_reject:
		mask \|= df["job"].str.contains(tag, case=False, na=False)
		df = df[~mask]
		if args.job_match:
		pattern = re.compile(args.job_match, re.IGNORECASE)
		df = df[df["job"].str.contains(pattern, na=False)]

		# Group by 'format' and 'date' to get rows with max 'MLD' per group
		max_mld = (
		clean_df.groupby(["format", "date"])
		.apply(lambda x: x.loc[x["MLD"].idxmax()])
		.reset_index(drop=True)
		)

		# Group by 'format' and 'date' to get rows with max 'MAX_ABS_DIFF' per
		# group
		max_abs_diff = (
		clean_df.groupby(["format", "date"])
		.apply(lambda x: x.loc[x["MAX_ABS_DIFF"].idxmax()])
		.reset_index(drop=True)
		)
		# Group by 'format' and 'date' to get rows with max 'MLD' per group
		idx = df.groupby(["format", "date"])[measure].idxmax()
		max = df.loc[idx].reset_index(drop=True)
		idx = df.groupby(["format", "date"])[measure].idxmin()
		min = df.loc[idx].reset_index(drop=True)
		mean = df.groupby(["format", "date"])[measure].mean().to_frame("mean").reset_index()

		formats = sorted(clean_df["format"].unique())
		formats = sorted(df["format"].unique())

		fig = make_subplots(
		rows=5,
		cols=2,
		specs=[[{"secondary_y": True}] * 2] * 5,
		subplot_titles=[f"{i}" for i in formats],
		shared_xaxes="columns",
		)
		@@ -79,64 +113,65 @@ def plot_data(df, output_filename):
		row = i // 2 + 1
		col = i % 2 + 1

		data_mld = max_mld[max_mld["format"] == fmt].sort_values("date")
		data_diff = max_abs_diff[max_abs_diff["format"]
		== fmt].sort_values("date")
		if "MIN" in measure:
		data = min[min["format"] == fmt].sort_values("date")
		maxmin_str = "Min"
		else:
		data = max[max["format"] == fmt].sort_values("date")
		maxmin_str = "Max"

		# Add max 'MLD' to primary y-axis
		# Add max measure to plots
		fig.add_trace(
		go.Scatter(
		x=data_mld["date"],
		y=data_mld["MLD"],
		x=data["date"],
		y=data[measure],
		mode="lines+markers",
		name=f" {fmt} - Max MLD",
		name=f"{maxmin_str} {measure}",
		hovertext=[
		f"Testcase: {tc}<br>MLD: {mld:.4f}<br>MAX_ABS_DIFF:"
		f"{abs_diff}<br>Format:"
		f" {format}<br>Date: {date.date()}"
		for tc, mld, abs_diff, format, date in zip(
		data_mld["testcase"],
		data_mld["MLD"],
		data_mld["MAX_ABS_DIFF"],
		data_mld["format"],
		data_mld["date"],
		f"Testcase: {tc}<br>{maxmin_str} {measure}: {value:.4f}"
		f"<br>Job: {job}"
		f"<br>Date: {date.date()}"
		for job, tc, value, date in zip(
		data["job"],
		data["testcase"],
		data[measure],
		data["date"],
		)
		],
		hoverinfo="text",
		marker_color="red",
		showlegend=(i == 0),
		),
		row=row,
		col=col,
		secondary_y=False,
		)

		# Add max 'MAX_ABS_DIFF' to secondary y-axis
		data = mean[mean["format"] == fmt].sort_values("date")

		# Add mean measure to plots
		fig.add_trace(
		go.Scatter(
		x=data_diff["date"],
		y=data_diff["MAX_ABS_DIFF"],
		x=data["date"],
		y=data["mean"],
		mode="lines+markers",
		name=f"{fmt} - Max MAX_ABS_DIFF",
		name=f"Mean {measure}",
		hovertext=[
		f"Testcase: {tc}<br>MLD: {mld:.4f}<br>MAX_ABS_DIFF:"
		f" {abs_diff:.4f}<br>Format:"
		f" {format}<br>Date: {date.date()}"
		for tc, mld, abs_diff, format, date in zip(
		data_diff["testcase"],
		data_diff["MLD"],
		data_diff["MAX_ABS_DIFF"],
		data_diff["format"],
		data_diff["date"],
		f"Mean {measure}: {value:.4f}" f"<br>Date: {date.date()}"
		for value, date in zip(
		data["mean"],
		data["date"],
		)
		],
		hoverinfo="text",
		marker_color="blue",
		showlegend=(i == 0),
		),
		row=row,
		col=col,
		secondary_y=True,
		)

		fig.update_layout(
		title_text="Long-term regression: max MLD and max MAX_ABS_DIFF",
		title_text=f"History: {measure}",
		legend=dict(x=1, y=1, orientation="v"),
		hovermode="x unified",
		)
		@@ -144,21 +179,8 @@ def plot_data(df, output_filename):
		fig.update_xaxes(automargin=True)
		fig.update_yaxes(automargin=True)

		# Update y-axes titles per subplot
		for i in range(10):
		yaxis_num = i * 2 + 1
		yaxis2_num = yaxis_num + 1
		fig["layout"][f"yaxis{yaxis_num}"].update(
		title="Max MLD", titlefont=dict(color="blue"), tickfont=dict(color="blue")
		)
		fig["layout"][f"yaxis{yaxis2_num}"].update(
		title="Max MAX_ABS_DIFF",
		titlefont=dict(color="green"),
		tickfont=dict(color="green"),
		)

		# Save to html
		fig.write_html(output_filename)
		fig.write_html(args.output_filename)


		if __name__ == "__main__":
		@@ -173,8 +195,54 @@ if __name__ == "__main__":
		type=str,
		help="Filename of the generated plot. e.g" ". long_term_regression.html",
		)
		parser.add_argument(
		"--days",
		type=int,
		help="Number of days in history. Default: 30",
		default=30,
		)
		parser.add_argument(
		"--measure",
		type=str,
		help="Measure for analysis: MLD, MAX_ABS_DIFF, MIN_ODG, MIN_SSNR, default: MLD",
		default="MLD",
		)
		parser.add_argument(
		"--include",
		nargs="+",
		type=str,
		help="List of tags to include in testcases",
		)
		parser.add_argument(
		"--reject",
		nargs="+",
		type=str,
		help="List of tags to reject in testcases",
		)
		parser.add_argument(
		"--match",
		type=str,
		help="Regex pattern for selecting testcases",
		)
		parser.add_argument(
		"--job-include",
		nargs="+",
		type=str,
		help="List of tags to include in jobs",
		)
		parser.add_argument(
		"--job-reject",
		nargs="+",
		type=str,
		help="List of tags to reject in jobs",
		)
		parser.add_argument(
		"--job-match",
		type=str,
		help="Regex pattern for selecting jobs",
		)
		args = parser.parse_args()

		csv_data = read_csv_files(args.root_dir)
		data = parse_csv_data(csv_data)
		plot_data(data, args.output_filename)
		plot_data(data, args)

lib_com/ivas_cnst.h

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