def test_set_timeseries(self, all_winds):
"""
get_timeseries with default output format
"""
# check get_time_value()
wm = Wind(timeseries=all_winds['wind'].get_timeseries(),
format='r-theta', units='meter per second')
gtime_val = wm.get_timeseries()
x = gtime_val[:2]
x['value'] = [(1, 10), (2, 20)]
wm.set_timeseries(x, 'meter per second') # default format is 'r-theta'
assert np.allclose(wm.get_timeseries()['value'][:, 0], x['value'
][:, 0], atol, rtol) # only matches to 10^-14
assert np.all(wm.get_timeseries()['time'] == x['time'])
def test_read_file_init():
"""
initialize from a long wind file
"""
wind = Wind(filename=file_)
wm = WindMover(wind)
wind_ts = wind.get_timeseries(format='uv', units='meter per second')
_defaults(wm) # check defaults set correctly
cpp_timeseries = _get_timeseries_from_cpp(wm)
_assert_timeseries_equivalence(cpp_timeseries, wind_ts)
# make sure default units is correct and correctly called
# NOTE: Following functionality is already tested in test_wind.py,
# but what the heck - do it here too.
wind_ts = wind.get_timeseries(format=ts_format.uv)
cpp_timeseries['value'] = unit_conversion.convert('Velocity',
'meter per second',
wind.units,
cpp_timeseries['value'])
_assert_timeseries_equivalence(cpp_timeseries, wind_ts)
