def test_in_bounds_given_point_outside_bounds(self):
time = '2019-08-01 00:15:00'
bounds = locate.bounds(['2019-08-01 00:00:00'],
dt.timedelta(minutes=15))
result = locate.in_bounds(bounds, time)
expect = [False]
np.testing.assert_array_equal(expect, result)
def test_in_bounds(self):
time = '2019-08-01 00:14:59'
bounds = locate.bounds(['2019-08-01 00:00:00'],
dt.timedelta(minutes=15))
result = locate.in_bounds(bounds, time)
expect = [True]
np.testing.assert_array_equal(expect, result)
def find_file(self, valid_date):
paths = np.array(self.paths) # Note: timeout cache in use)
bounds = locate.bounds(self.dates(paths), dt.timedelta(minutes=15))
pts = locate.in_bounds(bounds, valid_date)
found = paths[pts]
if len(found) > 0:
return found[0]
else:
raise FileNotFound("RDT: '{}' not found in {}".format(
valid_date, bounds))
def find_index(self, times, time, length):
dtype = 'datetime64[s]'
if isinstance(times, list):
times = np.asarray(times, dtype=dtype)
bounds = locate.bounds(times, length)
inside = locate.in_bounds(bounds, time)
valid_times = np.ma.array(times, mask=~inside)
if valid_times.mask.all():
msg = "{}: not found".format(time)
raise IndexNotFound(msg)
return np.ma.argmax(valid_times)
def find_index(times, time, length):
"""Search for index inside array of datetime64[s] values"""
dtype = "datetime64[s]"
if isinstance(times, list):
times = np.asarray(times, dtype=dtype)
if isinstance(time, (dt.datetime, str)):
time = np.datetime64(time, "s")
bounds = locate.bounds(times, length)
inside = locate.in_bounds(bounds, time)
valid_times = np.ma.array(times, mask=~inside)
if valid_times.mask.all():
msg = "{}: not found".format(time)
raise IndexNotFound(msg)
return _natargmax(valid_times.filled())
