def setUp(self):
t = Trajectories.from_idtrackerai(cons.test_trajectories_path)
temporary_file = tempfile.mkstemp(".npy", "trajectorytoolstest",
"/tmp")[1]
t.save(temporary_file)
self.t = Trajectories.load(temporary_file)
self.t1 = Trajectories.from_idtrackerai(cons.test_trajectories_path)
def setUp(self):
self.t_normal = Trajectories.from_idtrackerai(
cons.test_trajectories_path, smooth_params={"sigma": 1})
self.t = Trajectories.from_idtrackerai(cons.test_trajectories_path,
smooth_params={
"sigma": 1
}).normalise_by("radius")
def setUp(self):
self.t = Trajectories.from_idtrackerai(cons.test_trajectories_path)
def setUp(self):
self.t = Trajectories.from_idtrackerai(
cons.test_trajectories_path, center=True).normalise_by("radius")
self.t_normal = Trajectories.from_idtrackerai(
cons.test_trajectories_path)
def setUp(self):
self.t = Trajectories.from_idtrackerai(cons.test_trajectories_path,
smooth_params={"sigma": 2})
self.t2 = Trajectories.from_idtrackerai(cons.test_trajectories_path,
smooth_params={"sigma": 2})
self.rel_error = [1e-14] * 3
def setUp(self):
self.t = Trajectories.from_idtrackerai(cons.test_trajectories_path,
smooth_params={"sigma": 1})
def setUp(self):
self.t_nocenter = Trajectories.from_idtrackerai(
cons.test_trajectories_path)
self.t = Trajectories.from_idtrackerai(cons.test_trajectories_path,
center=True)
def setUp(self):
t = np.load(cons.test_raw_trajectories_path, allow_pickle=True)
self.t = Trajectories.from_positions(t, smooth_params={"sigma": 1})
def setUp(self):
self.t1 = Trajectories.from_idtrackerai(cons.test_trajectories_path)
self.t2 = Trajectories.from_idtrackerai(cons.test_trajectories_path)
self.t = self.t1[50:100]
def setUp(self):
self.t = Trajectories.from_idtrackerai(cons.test_trajectories_path,
interpolate_nans=False)
def setUp(self):
self.t = Trajectories.from_idtrackerai(cons.test_trajectories_path)
self.t_unchanged = Trajectories.from_idtrackerai(
cons.test_trajectories_path)
self.new_length_unit = 3
self.t.new_length_unit(self.new_length_unit)
def from_positions(cls, t, fail_fraction=0.1):
badt = fail_a_fraction_of_crossings(t, fail_fraction=fail_fraction)
return Trajectories.from_positions(badt)