Loading tests/rtp/test_rtp.py +22 −6 Original line number Diff line number Diff line Loading @@ -61,6 +61,7 @@ from tempfile import TemporaryDirectory from pathlib import Path from ivasrtp import * import numpy as np import json from pyaudio3dtools.audiofile import readfile ROOT_DIR = os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")) Loading Loading @@ -233,15 +234,30 @@ def generatePiData(startTs: int, endTs: int) -> dict: ) someAcousticEnvLR = lambda: ACOUSTIC_ENVIRONMENT( aeid=random.randint(0, 127), rt60=[random.randint(0, len(rt60Value)) for _ in range(3)], dsr=[random.randint(0, len(dsrValue)) for _ in range(3)], rt60=(float(rt60Value[random.randint(0, len(rt60Value) - 1)]), float(rt60Value[random.randint(0, len(rt60Value) - 1)]), float(rt60Value[random.randint(0, len(rt60Value) - 1)])), dsr=(float(dsrValue[random.randint(0, len(dsrValue) - 1)]), float(dsrValue[random.randint(0, len(dsrValue) - 1)]), float(dsrValue[random.randint(0, len(dsrValue) - 1)])), ) someAcousticEnvERLR = lambda: ACOUSTIC_ENVIRONMENT( aeid=random.randint(0, 127), rt60=[random.randint(0, len(rt60Value)) for _ in range(3)], dsr=[random.randint(0, len(dsrValue)) for _ in range(3)], dim=[random.randint(0, len(roomDimensionValue)) for _ in range(3)], abscoeff=[random.randint(0, len(absorptionCoeffValues)) for _ in range(6)], rt60=(float(rt60Value[random.randint(0, len(rt60Value) - 1)]), float(rt60Value[random.randint(0, len(rt60Value) - 1)]), float(rt60Value[random.randint(0, len(rt60Value) - 1)])), dsr=(float(dsrValue[random.randint(0, len(dsrValue) - 1)]), float(dsrValue[random.randint(0, len(dsrValue) - 1)]), float(dsrValue[random.randint(0, len(dsrValue) - 1)])), dim=(float(roomDimensionValue[random.randint(0, len(roomDimensionValue) - 1)]), float(roomDimensionValue[random.randint(0, len(roomDimensionValue) - 1)]), float(roomDimensionValue[random.randint(0, len(roomDimensionValue) - 1)])), abscoeff=(float(absorptionCoeffValues[random.randint(0, len(absorptionCoeffValues) - 1)]), float(absorptionCoeffValues[random.randint(0, len(absorptionCoeffValues) - 1)]), float(absorptionCoeffValues[random.randint(0, len(absorptionCoeffValues) - 1)]), float(absorptionCoeffValues[random.randint(0, len(absorptionCoeffValues) - 1)]), float(absorptionCoeffValues[random.randint(0, len(absorptionCoeffValues) - 1)]), float(absorptionCoeffValues[random.randint(0, len(absorptionCoeffValues) - 1)])), ) someAcousticEnvList = [someAcousticEnvAEID, someAcousticEnvLR, someAcousticEnvERLR] Loading Loading
tests/rtp/test_rtp.py +22 −6 Original line number Diff line number Diff line Loading @@ -61,6 +61,7 @@ from tempfile import TemporaryDirectory from pathlib import Path from ivasrtp import * import numpy as np import json from pyaudio3dtools.audiofile import readfile ROOT_DIR = os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")) Loading Loading @@ -233,15 +234,30 @@ def generatePiData(startTs: int, endTs: int) -> dict: ) someAcousticEnvLR = lambda: ACOUSTIC_ENVIRONMENT( aeid=random.randint(0, 127), rt60=[random.randint(0, len(rt60Value)) for _ in range(3)], dsr=[random.randint(0, len(dsrValue)) for _ in range(3)], rt60=(float(rt60Value[random.randint(0, len(rt60Value) - 1)]), float(rt60Value[random.randint(0, len(rt60Value) - 1)]), float(rt60Value[random.randint(0, len(rt60Value) - 1)])), dsr=(float(dsrValue[random.randint(0, len(dsrValue) - 1)]), float(dsrValue[random.randint(0, len(dsrValue) - 1)]), float(dsrValue[random.randint(0, len(dsrValue) - 1)])), ) someAcousticEnvERLR = lambda: ACOUSTIC_ENVIRONMENT( aeid=random.randint(0, 127), rt60=[random.randint(0, len(rt60Value)) for _ in range(3)], dsr=[random.randint(0, len(dsrValue)) for _ in range(3)], dim=[random.randint(0, len(roomDimensionValue)) for _ in range(3)], abscoeff=[random.randint(0, len(absorptionCoeffValues)) for _ in range(6)], rt60=(float(rt60Value[random.randint(0, len(rt60Value) - 1)]), float(rt60Value[random.randint(0, len(rt60Value) - 1)]), float(rt60Value[random.randint(0, len(rt60Value) - 1)])), dsr=(float(dsrValue[random.randint(0, len(dsrValue) - 1)]), float(dsrValue[random.randint(0, len(dsrValue) - 1)]), float(dsrValue[random.randint(0, len(dsrValue) - 1)])), dim=(float(roomDimensionValue[random.randint(0, len(roomDimensionValue) - 1)]), float(roomDimensionValue[random.randint(0, len(roomDimensionValue) - 1)]), float(roomDimensionValue[random.randint(0, len(roomDimensionValue) - 1)])), abscoeff=(float(absorptionCoeffValues[random.randint(0, len(absorptionCoeffValues) - 1)]), float(absorptionCoeffValues[random.randint(0, len(absorptionCoeffValues) - 1)]), float(absorptionCoeffValues[random.randint(0, len(absorptionCoeffValues) - 1)]), float(absorptionCoeffValues[random.randint(0, len(absorptionCoeffValues) - 1)]), float(absorptionCoeffValues[random.randint(0, len(absorptionCoeffValues) - 1)]), float(absorptionCoeffValues[random.randint(0, len(absorptionCoeffValues) - 1)])), ) someAcousticEnvList = [someAcousticEnvAEID, someAcousticEnvLR, someAcousticEnvERLR] Loading