Commit 115af3bb authored by Jan Kiene's avatar Jan Kiene
Browse files

add random trajectory file for exof as well

parent 4b7e2d67

.gitlab-ci.yml

+2 −1
Original line number Diff line number Diff line
@@ -1539,7 +1539,8 @@ ltv-usan: 
    paths:

      - ep_015.g192

      - dly_profile.dat

      - head_traj.csv

      - head_rot_traj.csv

      - exof_traj.csv

      - ./LOGS_PLC

      - ./LOGS_noPLC

ci/run_scheduled_sanitizer_test.py

+20 −16
Original line number Diff line number Diff line
@@ -60,10 +60,20 @@ MC_MODES = ["5_1", "5_1_2", "5_1_4", "7_1", "7_1_4"] 
AMBISONICS_MODES = ["HOA3", "HOA2", "FOA", "PlanarHOA3", "PlanarHOA2", "PlanarFOA"]

# timeout of 15 minutes per en/decoding to safeguard against endless loops

TIMEOUT = 60 * 20

HEAD_TRAJ_FILE = str(pathlib.Path("./head_traj.csv").resolve())

HEAD_TRAJ_FILE = str(pathlib.Path("./head_rot_traj.csv").resolve())

EXOF_TRAJ_FILE = str(pathlib.Path("./exof_traj.csv").resolve())



CONSOLE_OUT_FILE = "output_san.txt"



HEAD_ROT_ARGS = ["-t", HEAD_TRAJ_FILE]

EXOF_ARGS = ["-exof", EXOF_TRAJ_FILE]

BINAURAL_OUT_ARGS = HEAD_ROT_ARGS + EXOF_ARGS

ARGS_FOR_OC = {

    "BINAURAL": BINAURAL_OUT_ARGS,

    "BINAURAL_ROOM_IR": BINAURAL_OUT_ARGS,

    "BINAURAL_ROOM_REVERB": BINAURAL_OUT_ARGS,

}





def main(args):

    in_format = args.in_format
@@ -117,12 +127,6 @@ def get_modes(in_format: str) -> list: 




def assemble_oc_dict(out_formats: list):

    ARGS_FOR_OC = {

        "BINAURAL": ["-t", HEAD_TRAJ_FILE],

        "BINAURAL_ROOM_IR": ["-t", HEAD_TRAJ_FILE],

        "BINAURAL_ROOM_REVERB": ["-t", HEAD_TRAJ_FILE],

    }



    oc_dict = {of: ARGS_FOR_OC.get(of, list()) for of in out_formats}



    return json.dumps(oc_dict)
@@ -140,21 +144,21 @@ def get_md_file_command(in_format: str) -> list: 
    return cmd





def create_trajectory_file(duration):

    traj = random_trajectory(duration)

    np.savetxt(HEAD_TRAJ_FILE, traj, fmt="%.2f", delimiter=",")





def run_check(in_format: str, out_formats: list, tests: list, run_fec: bool = True):



    modes = get_modes(in_format)

    if len(modes) == 0:

        return 0



    md_file_command = get_md_file_command(in_format)

    oc_str = assemble_oc_dict(out_formats)



    create_trajectory_file(int(DURATION))



    if len(modes) == 0:

        return 0

    # create random trajectory files

    if "BINAURAL" in oc_str:

        trajectory_files = [HEAD_TRAJ_FILE, EXOF_TRAJ_FILE]

        for tf in trajectory_files:

            traj = random_trajectory(int(DURATION))

            np.savetxt(tf, traj, fmt="%.2f", delimiter=",")



    ### always run encoder and decoder with no frameloss

    cmd_no_fec = [