Skip to content
Commits on Source (10)
Show whitespace changes
Inline Side-by-side
lib_com/options.h
View file @ 3e1d22df
......@@ -177,6 +177,8 @@
#define NONBE_1122_KEEP_EVS_MODE_UNCHANGED /* FhG: Disables fix for issue 1122 in EVS mode to keep BE tests green. This switch should be removed once the 1122 fix is added to EVS via a CR. */
#define NONBE_1328_FIX_NON_LINEARITY /* VA: Fix possible issue when computing bwe_exc_extended and previous frame were almost 0 */
#define NONBE_1321_JBM_ASSERT_BITRATE_SWITCHING /* FhG: Fix assert being hit in JBM code during rate switching */
#define NONBE_FIX_1376_MDCT_CONCEALMENT /* FhG: fix concealment artifact in MDCT Stereo with DTX, in case transition frame gets lost */
#define NONBE_1377_REND_DIRATT_CONF /* Eri: Issue 1377: Error in directivity attenuation configuration for both IVAS_dec and IVAS_rend */
/* ##################### End NON-BE switches ########################### */
......
lib_dec/ivas_mdct_core_dec.c
View file @ 3e1d22df
......@@ -1104,7 +1104,17 @@ void ivas_mdct_core_tns_ns(
decoder_tcx_tns( st, L_frame_global[ch], L_spec[ch], L_frame[ch], L_frameTCX[ch], &x[ch][k][0], fUseTns[ch][k], &tnsData[ch][k], bfi, k, 1 );
sns_shape_spectrum( x[ch][k], st->hTcxCfg->psychParamsCurrent, &sns_int_scf[0], st->hTcxCfg->psychParamsCurrent->nBins );
#ifdef NONBE_FIX_1376_MDCT_CONCEALMENT
/*
2025-09-07, mul:
in case of PLC, applying SNS up to L_spec might not be enough: In case the transition frame from DTX after an inactive period is lost, L_spec is assumed to represent a regular TCX frame,
however, this frame is nevertheless acting as an transition frame as also visible in L_frameTCX; thus, the safer approach to prevent high frequency artifacts is to apply the SNS up to L_frameTCX;
in case this is not necessary, x[] is filled with zeros, and the multiplication is not causing any additional harm
*/
v_multc( x[ch][k] + st->hTcxCfg->psychParamsCurrent->nBins, sns_int_scf[FDNS_NPTS - 1], x[ch][k] + st->hTcxCfg->psychParamsCurrent->nBins, max( L_spec[ch], L_frameTCX[ch] ) - st->hTcxCfg->psychParamsCurrent->nBins );
#else
v_multc( x[ch][k] + st->hTcxCfg->psychParamsCurrent->nBins, sns_int_scf[FDNS_NPTS - 1], x[ch][k] + st->hTcxCfg->psychParamsCurrent->nBins, L_spec[ch] - st->hTcxCfg->psychParamsCurrent->nBins );
#endif
decoder_tcx_tns( st, L_frame_global[ch], L_spec[ch], L_frame[ch], L_frameTCX[ch], &x[ch][k][0], fUseTns[ch][k], &tnsData[ch][k], bfi, k, 0 );
}
......
lib_rend/ivas_objectRenderer.c
View file @ 3e1d22df
......@@ -534,13 +534,16 @@ ivas_error TDREND_Update_object_positions(
const ISM_METADATA_HANDLE *hIsmMetaData /* i : Input metadata for ISM objects */
)
{
#ifndef NONBE_1377_REND_DIRATT_CONF
TDREND_DirAtten_t *DirAtten_p;
#endif
int16_t nS;
float Pos[3];
float Dir[3];
ivas_error error;
#ifndef NONBE_1377_REND_DIRATT_CONF
DirAtten_p = hBinRendererTd->DirAtten_p;
#endif
/* For each source, write the frame data to the source object*/
for ( nS = 0; nS < num_src; nS++ )
......@@ -557,11 +560,12 @@ ivas_error TDREND_Update_object_positions(
return error;
}
#ifndef NONBE_1377_REND_DIRATT_CONF
if ( ( error = TDREND_MIX_SRC_SetDirAtten( hBinRendererTd, nS, DirAtten_p ) ) != IVAS_ERR_OK )
{
return error;
}
#endif
if ( ( error = TDREND_MIX_SRC_SetGain( hBinRendererTd, nS, hIsmMetaData[nS]->gain ) ) != IVAS_ERR_OK )
{
return error;
......@@ -675,13 +679,22 @@ ivas_error ivas_td_binaural_open_ext(
AUDIO_CONFIG inConfig,
RENDER_CONFIG_DATA *hRendCfg, /* i : Renderer configuration */
LSSETUP_CUSTOM_STRUCT *customLsInput,
#ifdef NONBE_1377_REND_DIRATT_CONF
const int32_t outFs, /* i: output sampling rate */
const IVAS_REND_InputId id /* i: ISM ID */
)
#else
const int32_t outFs )
#endif
{
int16_t nchan_transport;
AUDIO_CONFIG transport_config;
IVAS_FORMAT ivas_format;
IVAS_OUTPUT_SETUP hTransSetup;
ivas_error error;
#ifdef NONBE_1377_REND_DIRATT_CONF
int16_t ism_number;
#endif
float *distAtt = NULL;
float *directivity = NULL;
......@@ -712,7 +725,12 @@ ivas_error ivas_td_binaural_open_ext(
if ( NULL != hRendCfg )
{
#ifdef NONBE_1377_REND_DIRATT_CONF
ism_number = id & 0x00FF; /* Exctract ISM number from ID */
directivity = hRendCfg->directivity + 3 * ism_number;
#else
directivity = hRendCfg->directivity;
#endif
distAtt = hRendCfg->distAtt;
}
......
lib_rend/ivas_prot_rend.h
View file @ 3e1d22df
......@@ -661,7 +661,12 @@ ivas_error ivas_td_binaural_open_ext(
const AUDIO_CONFIG inConfig,
RENDER_CONFIG_DATA *hRendCfg, /* i : Renderer configuration */
LSSETUP_CUSTOM_STRUCT *customLsInput,
#ifdef NONBE_1377_REND_DIRATT_CONF
const int32_t outFs, /* i: output sampling rate */
const IVAS_REND_InputId id /* i: ISM ID */
#else
const int32_t output_Fs
#endif
);
void ivas_td_binaural_close(
......
lib_rend/lib_rend.c
View file @ 3e1d22df
......@@ -1631,7 +1631,11 @@ static ivas_error setRendInputActiveIsm(
if ( outConfig == IVAS_AUDIO_CONFIG_BINAURAL || outConfig == IVAS_AUDIO_CONFIG_BINAURAL_SPLIT_CODED || outConfig == IVAS_AUDIO_CONFIG_BINAURAL_SPLIT_PCM )
{
#ifdef NONBE_1377_REND_DIRATT_CONF
if ( ( error = ivas_td_binaural_open_ext( &inputIsm->tdRendWrapper, inConfig, hRendCfg, NULL, *rendCtx.pOutSampleRate, id ) ) != IVAS_ERR_OK )
#else
if ( ( error = ivas_td_binaural_open_ext( &inputIsm->tdRendWrapper, inConfig, hRendCfg, NULL, *rendCtx.pOutSampleRate ) ) != IVAS_ERR_OK )
#endif
{
return error;
}
......@@ -1639,7 +1643,11 @@ static ivas_error setRendInputActiveIsm(
/* Open TD renderer wrappers */
for ( i = 0; i < MAX_HEAD_ROT_POSES - 1; ++i )
{
#ifdef NONBE_1377_REND_DIRATT_CONF
if ( ( error = ivas_td_binaural_open_ext( &inputIsm->splitTdRendWrappers[i], inConfig, hRendCfg, NULL, *inputIsm->base.ctx.pOutSampleRate, id ) ) != IVAS_ERR_OK )
#else
if ( ( error = ivas_td_binaural_open_ext( &inputIsm->splitTdRendWrappers[i], inConfig, hRendCfg, NULL, *inputIsm->base.ctx.pOutSampleRate ) ) != IVAS_ERR_OK )
#endif
{
return error;
}
......@@ -1657,7 +1665,11 @@ static ivas_error setRendInputActiveIsm(
}
else
{
#ifdef NONBE_1377_REND_DIRATT_CONF
if ( ( error = ivas_td_binaural_open_ext( &inputIsm->tdRendWrapper, inConfig, hRendCfg, NULL, *rendCtx.pOutSampleRate, id ) ) != IVAS_ERR_OK )
#else
if ( ( error = ivas_td_binaural_open_ext( &inputIsm->tdRendWrapper, inConfig, hRendCfg, NULL, *rendCtx.pOutSampleRate ) ) != IVAS_ERR_OK )
#endif
{
return error;
}
......@@ -2414,7 +2426,11 @@ static ivas_error initMcBinauralRendering(
if ( useTDRend && inputMc->tdRendWrapper.hBinRendererTd == NULL )
{
#ifdef NONBE_1377_REND_DIRATT_CONF
if ( ( error = ivas_td_binaural_open_ext( &inputMc->tdRendWrapper, inConfig, hRendCfg, &inputMc->customLsInput, outSampleRate, 0 ) ) != IVAS_ERR_OK )
#else
if ( ( error = ivas_td_binaural_open_ext( &inputMc->tdRendWrapper, inConfig, hRendCfg, &inputMc->customLsInput, outSampleRate ) ) != IVAS_ERR_OK )
#endif
{
return error;
}
......@@ -2424,7 +2440,11 @@ static ivas_error initMcBinauralRendering(
/* Open TD renderer wrappers */
for ( i = 0; i < MAX_HEAD_ROT_POSES - 1; ++i )
{
#ifdef NONBE_1377_REND_DIRATT_CONF
if ( ( error = ivas_td_binaural_open_ext( &inputMc->splitTdRendWrappers[i], inConfig, hRendCfg, &inputMc->customLsInput, outSampleRate, 0 ) ) != IVAS_ERR_OK )
#else
if ( ( error = ivas_td_binaural_open_ext( &inputMc->splitTdRendWrappers[i], inConfig, hRendCfg, &inputMc->customLsInput, outSampleRate ) ) != IVAS_ERR_OK )
#endif
{
return error;
}
......
scripts/find_regressions_from_logs.py
View file @ 3e1d22df
......@@ -4,99 +4,7 @@ import argparse
from pathlib import Path
import pandas as pd
REPRODUCE_REGRESSION_SCRIPT_TMPL = """
#!/bin/bash -x
SCRIPTS_DIR=/usr/local/scripts
LTV_DIR=/usr/local/ltv
MIN_DATE={min_date}
MIN_SHA={min_sha}
LEVEL_SCALING={level_scaling}
TESTCASE="{testcase}"
REF_ENC1={REF_ENC1}
REF_DEC1={REF_DEC1}
DUT_ENC1={DUT_ENC1}
DUT_DEC1={DUT_DEC1}
REF_ENC2={REF_ENC2}
REF_DEC2={REF_DEC2}
DUT_ENC2={DUT_ENC2}
DUT_DEC2={DUT_DEC2}
INV_LEVEL_SCALING=$(awk "BEGIN {{print 1.0 / $LEVEL_SCALING}}")
# Obtain executables from past reference
git checkout `git rev-list -1 --before="$MIN_DATE 22:00:00" ivas-float-update`
echo "ivas_float_update, min version: `git rev-parse HEAD`" > versions.txt
make clean
make -j
mv IVAS_cod IVAS_cod_ref_1
mv IVAS_dec IVAS_dec_ref_1
mv IVAS_rend IVAS_rend_ref_1
git checkout $MIN_SHA
echo "main, min version: `git rev-parse HEAD`" >> versions.txt
make clean
make -j
mv IVAS_cod IVAS_cod_1
mv IVAS_dec IVAS_dec_1
mv IVAS_rend IVAS_rend_1
# Obtain latest executables
git checkout ivas-float-update
git pull
echo "ivas-float-update, current version: `git rev-parse HEAD`" >> versions.txt
make clean
make -j
mv IVAS_cod IVAS_cod_ref_2
mv IVAS_dec IVAS_dec_ref_2
mv IVAS_rend IVAS_rend_ref_2
git checkout main
git pull
echo "main, current version: `git rev-parse HEAD`" >> versions.txt
make clean
make -j
mv IVAS_cod IVAS_cod_2
mv IVAS_dec IVAS_dec_2
mv IVAS_rend IVAS_rend_2
# Get fresh copy of scripts, tests and ci
cp -r $SCRIPTS_DIR/{{scripts,tests,ci,pytest.ini}} .
rm -rf tests/ref tests/dut tests/renderer/ref tests/renderer/cut
python3 ci/remove_unsupported_testcases.py scripts/config/self_test.prm scripts/config/self_test_ltv.prm
# Get LTVs
cp $LTV_DIR/* scripts/testv
# Apply level scaling
tests/scale_pcm.py ./scripts/testv/ "$LEVEL_SCALING"
# Run tests
cp IVAS_rend_ref_1 IVAS_rend_ref
cp IVAS_rend_1 IVAS_rend
python3 -m pytest "$TESTCASE" -n 1 --update_ref 1 --create_ref --param_file scripts/config/self_test_ltv.prm --use_ltv --ref_encoder_path $REF_ENC1 --ref_decoder_path $REF_DEC1
python3 -m pytest "$TESTCASE" -n 1 --create_cut --param_file scripts/config/self_test_ltv.prm --use_ltv --dut_encoder_path $DUT_ENC1 --dut_decoder_path $DUT_DEC1 --mld --ssnr --odg --scalefac $INV_LEVEL_SCALING --junit-xml=report1.xml --html=report1.html --self-contained-html
python3 scripts/parse_xml_report.py report1.xml report1.csv
# Store results from first run
mkdir -p tests1/renderer
cp -r tests/ref tests/dut tests1
cp -r tests/renderer/ref tests1/renderer
cp -r tests/renderer/cut tests1/renderer
cp IVAS_rend_ref_2 IVAS_rend_ref
cp IVAS_rend_2 IVAS_rend
python3 -m pytest "$TESTCASE" -n 1 --update_ref 1 --create_ref --param_file scripts/config/self_test_ltv.prm --use_ltv --ref_encoder_path $REF_ENC2 --ref_decoder_path $REF_DEC2
python3 -m pytest "$TESTCASE" -n 1 --create_cut --param_file scripts/config/self_test_ltv.prm --use_ltv --dut_encoder_path $DUT_ENC2 --dut_decoder_path $DUT_DEC2 --mld --ssnr --odg --scalefac $INV_LEVEL_SCALING --junit-xml=report2.xml --html=report2.html --self-contained-html
python3 scripts/parse_xml_report.py report2.xml report2.csv
"""
def main(logs_dir, output_filename, measure):
def main(logs_dir, output_filename, measure, days, all_results, diff_thr, ratio_thr, curr_value_thr):
input_path = Path(logs_dir)
logs = [f for f in input_path.iterdir() if f.is_dir()]
......@@ -142,6 +50,14 @@ def main(logs_dir, output_filename, measure):
index=["job", "testcase"], columns="date", values="format"
).reset_index()
if days != -1:
len_history = len(result.columns) - 2
if len_history < days:
print(f"*** Warning: Requested number of days exceeds the number of days in the logs. Will use all {len_history} available days.")
if len_history > days:
remove_days = len_history - days
result = result.drop(result.columns[2:2+remove_days], axis=1)
values = result.iloc[:, 2:]
last_date = values.columns[-1]
......@@ -156,69 +72,16 @@ def main(logs_dir, output_filename, measure):
1 # Set ratio to 1 for denominator 0
)
result["min_sha"] = "'" + result["min_sha"]
result.to_csv(output_filename, sep=";", index=False)
if not all_results:
# Filter out test cases above thresholds
result = result[result["diff"] > diff_thr]
result = result[result["ratio"] > ratio_thr]
result = result[result["curr_value"] > curr_value_thr]
critical = result.iloc[:, 0:9]
formats = list(set(critical["format"]))
formats.sort()
critical3 = pd.DataFrame()
result["min_sha"] = "'" + result["min_sha"] # Add apostrophy to prevent Excel reading this as a number
for format in formats:
top3 = (
critical[critical["format"] == format]
.sort_values(by="ratio", ascending=False)
.head(3)
)
critical3 = pd.concat([critical3, top3], ignore_index=True)
critical3.to_csv("critical3.csv", sep=";", index=False)
for row_counter, row in critical3.iterrows():
# Find level
level_scaling = 1.0
if "lev+10" in row["job"]:
level_scaling = 3.162
if "lev-10" in row["job"]:
level_scaling = 0.3162
# Find executables setup
REF_ENC1 = "IVAS_cod_ref_1"
REF_DEC1 = "IVAS_dec_ref_1"
DUT_ENC1 = "IVAS_cod_1"
DUT_DEC1 = "IVAS_dec_1"
REF_ENC2 = "IVAS_cod_ref_2"
REF_DEC2 = "IVAS_dec_ref_2"
DUT_ENC2 = "IVAS_cod_2"
DUT_DEC2 = "IVAS_dec_2"
if "dec" in row["job"]:
DUT_ENC1 = "IVAS_cod_ref_1"
DUT_ENC2 = "IVAS_cod_ref_2"
if "enc" in row["job"]:
DUT_DEC1 = "IVAS_dec_ref_1"
DUT_DEC2 = "IVAS_dec_ref_2"
script_content = REPRODUCE_REGRESSION_SCRIPT_TMPL.format(
min_date=row["min_date"],
min_sha=row["min_sha"][1:],
level_scaling=level_scaling,
testcase=row["testcase"],
REF_ENC1=REF_ENC1,
REF_DEC1=REF_DEC1,
DUT_ENC1=DUT_ENC1,
DUT_DEC1=DUT_DEC1,
REF_ENC2=REF_ENC2,
REF_DEC2=REF_DEC2,
DUT_ENC2=DUT_ENC2,
DUT_DEC2=DUT_DEC2,
)
result.to_csv(output_filename, sep=";", index=False)
script_filename = f"regression_{row_counter+2:03d}.bash"
with open(script_filename, "w") as f:
f.write(script_content)
if __name__ == "__main__":
......@@ -239,7 +102,38 @@ if __name__ == "__main__":
help="Measure for summary, one of MLD MIN_SSNR MAX_ABS_DIFF MIN_ODG, (default: MLD)",
default="MLD",
)
parser.add_argument(
"--days",
type=int,
help="Number of days in history, (default: whole history)",
default=-1,
)
parser.add_argument(
"--all_results",
action="store_true",
help="Output all results, including cases without regression (default: off)",
default=False,
)
parser.add_argument(
"--diff_thr",
type=float,
help="Include test cases with diff above diff_thr, (default: 0.0)",
default=0.0,
)
parser.add_argument(
"--ratio_thr",
type=float,
help="Include test cases with ratio above ratio_thr, (default: 1.0)",
default=1.0,
)
parser.add_argument(
"--curr_value_thr",
type=float,
help="Include test cases with curr_value above curr_value_thr, (default: 0.0)",
default=0.0,
)
args = parser.parse_args()
main(args.logs_dir, args.output_filename, args.measure)
main(args.logs_dir, args.output_filename, args.measure, args.days, args.all_results, args.diff_thr, args.ratio_thr, args.curr_value_thr)
scripts/generate_scripts_from_regressions.py 0 → 100644
View file @ 3e1d22df
#!/usr/bin/env python3
import argparse
import pandas as pd
REPRODUCE_REGRESSION_SCRIPT_TMPL = """
#!/bin/bash -x
SCRIPTS_DIR=/usr/local/scripts
LTV_DIR=/usr/local/ltv
MIN_DATE={min_date}
MIN_SHA={min_sha}
LEVEL_SCALING={level_scaling}
TESTCASE="{testcase}"
REF_ENC1={REF_ENC1}
REF_DEC1={REF_DEC1}
DUT_ENC1={DUT_ENC1}
DUT_DEC1={DUT_DEC1}
REF_ENC2={REF_ENC2}
REF_DEC2={REF_DEC2}
DUT_ENC2={DUT_ENC2}
DUT_DEC2={DUT_DEC2}
INV_LEVEL_SCALING=$(awk "BEGIN {{print 1.0 / $LEVEL_SCALING}}")
# Obtain executables from past reference
git checkout `git rev-list -1 --before="$MIN_DATE 22:00:00" ivas-float-update`
echo "ivas_float_update, min version: `git rev-parse HEAD`" > versions.txt
make clean
make -j
mv IVAS_cod IVAS_cod_ref_1
mv IVAS_dec IVAS_dec_ref_1
mv IVAS_rend IVAS_rend_ref_1
git checkout $MIN_SHA
echo "main, min version: `git rev-parse HEAD`" >> versions.txt
make clean
make -j
mv IVAS_cod IVAS_cod_1
mv IVAS_dec IVAS_dec_1
mv IVAS_rend IVAS_rend_1
# Obtain latest executables
git checkout ivas-float-update
git pull
echo "ivas-float-update, current version: `git rev-parse HEAD`" >> versions.txt
make clean
make -j
mv IVAS_cod IVAS_cod_ref_2
mv IVAS_dec IVAS_dec_ref_2
mv IVAS_rend IVAS_rend_ref_2
git checkout main
git pull
echo "main, current version: `git rev-parse HEAD`" >> versions.txt
make clean
make -j
mv IVAS_cod IVAS_cod_2
mv IVAS_dec IVAS_dec_2
mv IVAS_rend IVAS_rend_2
# Get fresh copy of scripts, tests and ci
cp -r $SCRIPTS_DIR/{{scripts,tests,ci,pytest.ini}} .
rm -rf tests/ref tests/dut tests/renderer/ref tests/renderer/cut
python3 ci/remove_unsupported_testcases.py scripts/config/self_test.prm scripts/config/self_test_ltv.prm
# Get LTVs
cp $LTV_DIR/* scripts/testv
# Apply level scaling
tests/scale_pcm.py ./scripts/testv/ "$LEVEL_SCALING"
# Run tests
cp IVAS_rend_ref_1 IVAS_rend_ref
cp IVAS_rend_1 IVAS_rend
python3 -m pytest "$TESTCASE" -n 1 --update_ref 1 --create_ref --param_file scripts/config/self_test_ltv.prm --use_ltv --ref_encoder_path $REF_ENC1 --ref_decoder_path $REF_DEC1
python3 -m pytest "$TESTCASE" -n 1 --create_cut --param_file scripts/config/self_test_ltv.prm --use_ltv --dut_encoder_path $DUT_ENC1 --dut_decoder_path $DUT_DEC1 --mld --ssnr --odg --scalefac $INV_LEVEL_SCALING --junit-xml=report1.xml --html=report1.html --self-contained-html
python3 scripts/parse_xml_report.py report1.xml report1.csv
# Store results from first run
mkdir -p tests1/renderer
cp -r tests/ref tests/dut tests1
cp -r tests/renderer/ref tests1/renderer
cp -r tests/renderer/cut tests1/renderer
cp IVAS_rend_ref_2 IVAS_rend_ref
cp IVAS_rend_2 IVAS_rend
python3 -m pytest "$TESTCASE" -n 1 --update_ref 1 --create_ref --param_file scripts/config/self_test_ltv.prm --use_ltv --ref_encoder_path $REF_ENC2 --ref_decoder_path $REF_DEC2
python3 -m pytest "$TESTCASE" -n 1 --create_cut --param_file scripts/config/self_test_ltv.prm --use_ltv --dut_encoder_path $DUT_ENC2 --dut_decoder_path $DUT_DEC2 --mld --ssnr --odg --scalefac $INV_LEVEL_SCALING --junit-xml=report2.xml --html=report2.html --self-contained-html
python3 scripts/parse_xml_report.py report2.xml report2.csv
"""
def main(critical_list):
critical = pd.read_csv(critical_list, sep=";")
for row_counter, row in critical.iterrows():
# Find level
level_scaling = 1.0
if "lev+10" in row["job"]:
level_scaling = 3.162
if "lev-10" in row["job"]:
level_scaling = 0.3162
# Find executables setup
REF_ENC1 = "IVAS_cod_ref_1"
REF_DEC1 = "IVAS_dec_ref_1"
DUT_ENC1 = "IVAS_cod_1"
DUT_DEC1 = "IVAS_dec_1"
REF_ENC2 = "IVAS_cod_ref_2"
REF_DEC2 = "IVAS_dec_ref_2"
DUT_ENC2 = "IVAS_cod_2"
DUT_DEC2 = "IVAS_dec_2"
if "dec" in row["job"]:
DUT_ENC1 = "IVAS_cod_ref_1"
DUT_ENC2 = "IVAS_cod_ref_2"
if "enc" in row["job"]:
DUT_DEC1 = "IVAS_dec_ref_1"
DUT_DEC2 = "IVAS_dec_ref_2"
script_content = REPRODUCE_REGRESSION_SCRIPT_TMPL.format(
min_date=row["min_date"],
min_sha=row["min_sha"][1:],
level_scaling=level_scaling,
testcase=row["testcase"],
REF_ENC1=REF_ENC1,
REF_DEC1=REF_DEC1,
DUT_ENC1=DUT_ENC1,
DUT_DEC1=DUT_DEC1,
REF_ENC2=REF_ENC2,
REF_DEC2=REF_DEC2,
DUT_ENC2=DUT_ENC2,
DUT_DEC2=DUT_DEC2,
)
script_filename = f"regression_{row_counter+2:03d}.bash"
with open(script_filename, "w") as f:
f.write(script_content)
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Generate bash scripts to reproduce test cases from critical testcase csv list")
parser.add_argument(
"critical_list",
type=str,
help="critical file list, e.g. critical.csv",
)
args = parser.parse_args()
main(args.critical_list)