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)