def test_nodata_series(): if __file__.startswith("./"): fname = "x" + __file__[3:-3] + ".nwb" else: fname = "x" + __file__[1:-3] + ".nwb" name = "nodata" create_nodata_series(fname, name, "acquisition") ut.verify_timeseries(fname, name, "acquisition/timeseries", "TimeSeries") ut.verify_absent(fname, "acquisition/timeseries/"+name, "data")
def test_nodata_series(): if __file__.startswith("./"): fname = "s" + __file__[3:-3] + ".nwb" else: fname = "s" + __file__[1:-3] + ".nwb" name = "nodata" # create_nodata_series(fname, name, "acquisition") create_nodata_series(fname, name, "/acquisition/timeseries") ut.verify_timeseries(fname, name, "acquisition/timeseries", "TimeSeries") ut.verify_absent(fname, "acquisition/timeseries/" + name, "data")
def test_notime_series(): if __file__.startswith("./"): fname = "x" + __file__[3:-3] + ".nwb" else: fname = "x" + __file__[1:-3] + ".nwb" name = "notime" create_notime_series(fname, name, "acquisition") ut.verify_timeseries(fname, name, "acquisition/timeseries", "TimeSeries") ut.verify_absent(fname, "acquisition/timeseries/"+name, "timestamps") ut.verify_absent(fname, "acquisition/timeseries/"+name, "starting_time") create_notime_series(fname, name, "stimulus") ut.verify_timeseries(fname, name, "stimulus/presentation", "TimeSeries") create_notime_series(fname, name, "template") ut.verify_timeseries(fname, name, "stimulus/templates", "TimeSeries")
def test_nodata_series(): if __file__.startswith("./"): fname = "x" + __file__[3:-3] + ".nwb" else: fname = "x" + __file__[1:-3] + ".nwb" name = "starting_time" create_startingtime_series(fname, name, "acquisition") ut.verify_timeseries(fname, name, "acquisition/timeseries", "TimeSeries") ut.verify_absent(fname, "acquisition/timeseries/"+name, "timestamps") val = ut.verify_present(fname, "acquisition/timeseries/"+name, "starting_time") if val != 0.125: ut.error("Checking start time", "Incorrect value") val = ut.verify_attribute_present(fname, "acquisition/timeseries/starting_time/"+name, "rate") if val != 2: ut.error("Checking rate", "Incorrect value")
def test_notime_series(): if __file__.startswith("./"): fname = "x" + __file__[3:-3] + ".nwb" else: fname = "x" + __file__[1:-3] + ".nwb" name = "notime" create_notime_series(fname, name, "acquisition") ut.verify_timeseries(fname, name, "acquisition/timeseries", "TimeSeries") ut.verify_absent(fname, "acquisition/timeseries/" + name, "timestamps") ut.verify_absent(fname, "acquisition/timeseries/" + name, "starting_time") create_notime_series(fname, name, "stimulus") ut.verify_timeseries(fname, name, "stimulus/presentation", "TimeSeries") create_notime_series(fname, name, "template") ut.verify_timeseries(fname, name, "stimulus/templates", "TimeSeries")
def test_nodata_series(): if __file__.startswith("./"): fname = "x" + __file__[3:-3] + ".nwb" else: fname = "x" + __file__[1:-3] + ".nwb" name = "starting_time" create_startingtime_series(fname, name, "acquisition") ut.verify_timeseries(fname, name, "acquisition/timeseries", "TimeSeries") ut.verify_absent(fname, "acquisition/timeseries/" + name, "timestamps") val = ut.verify_present(fname, "acquisition/timeseries/" + name, "starting_time") if val != 0.125: ut.error("Checking start time", "Incorrect value") val = ut.verify_attribute_present( fname, "acquisition/timeseries/starting_time/" + name, "rate") if val != 2: ut.error("Checking rate", "Incorrect value")