Loading scripts/ivas_conformance/runConformance.py +8 −6 Original line number Diff line number Diff line Loading @@ -1320,8 +1320,7 @@ class MLDConformance: self.flushErrorBlocks() if self.args.be_test: self.doBEanalysis(selectTag=tag) analysis_ok = non_be_count == 0 analysis_ok, be_failure_csv = self.doBEanalysis(selectTag=tag) corridor_fail_count = 0 masa_comparison_done = False masa_corridor_fail_count = 0 Loading Loading @@ -1350,7 +1349,9 @@ class MLDConformance: return True print(f"[{tag}] FAILED ({result_details})") if worst_failure is not None: if self.args.be_test and be_failure_csv is not None: print(f"[{tag}] BE test failed, check {be_failure_csv}") elif worst_failure is not None: print( f"[{tag}] Worst MLD corridor failure: {worst_failure['prefix']} {worst_failure['tag']} " f"(NON-BE, MLD_MAX={worst_failure['mld']})" Loading Loading @@ -1776,9 +1777,10 @@ class MLDConformance: usecols=1, ) if np.sum(BEresult) > 0: print(f"<{tag}> FAILED BE TEST, check {self.BEcsv[tag]}") else: print(f"<{tag}> PASSED BE TEST") return False, self.BEcsv[tag] return True, None return True, None def computeCorridor( self, Loading Loading
scripts/ivas_conformance/runConformance.py +8 −6 Original line number Diff line number Diff line Loading @@ -1320,8 +1320,7 @@ class MLDConformance: self.flushErrorBlocks() if self.args.be_test: self.doBEanalysis(selectTag=tag) analysis_ok = non_be_count == 0 analysis_ok, be_failure_csv = self.doBEanalysis(selectTag=tag) corridor_fail_count = 0 masa_comparison_done = False masa_corridor_fail_count = 0 Loading Loading @@ -1350,7 +1349,9 @@ class MLDConformance: return True print(f"[{tag}] FAILED ({result_details})") if worst_failure is not None: if self.args.be_test and be_failure_csv is not None: print(f"[{tag}] BE test failed, check {be_failure_csv}") elif worst_failure is not None: print( f"[{tag}] Worst MLD corridor failure: {worst_failure['prefix']} {worst_failure['tag']} " f"(NON-BE, MLD_MAX={worst_failure['mld']})" Loading Loading @@ -1776,9 +1777,10 @@ class MLDConformance: usecols=1, ) if np.sum(BEresult) > 0: print(f"<{tag}> FAILED BE TEST, check {self.BEcsv[tag]}") else: print(f"<{tag}> PASSED BE TEST") return False, self.BEcsv[tag] return True, None return True, None def computeCorridor( self, Loading