test_shift_inversion_dask.py

"""Unit tests for module shift_inversion_dask"""

import numpy as np
import pytest

from lisainstrument.shift_inversion_numpy import make_shift_inverse_lagrange_numpy
from lisainstrument.shift_inversion_dask import make_shift_inverse_lagrange_dask
from lisainstrument.dynamic_delay_dask import numpyfy_dask_multi


def test_shift_inversion_numpy():
    """Test basic functioning of shift_inversion_dask on analytic coordinate transform"""
    order = 31
    nsamp = 600
    chunks = 70
    k_mod = 8 * np.pi
    a_mod = 1e-3
    max_it = 6
    tol = 1e-12

    def dx_from_x(x):
        return np.sin(x * k_mod) * a_mod

    xi, dt = np.linspace(0, 1, nsamp, retstep=True)
    fsample = 1 / dt
    dxi = dx_from_x(xi)

    op_np = make_shift_inverse_lagrange_numpy(order, a_mod * 1.01, max_it, tol / dt)
    op_da = make_shift_inverse_lagrange_dask(order, a_mod * 1.01, max_it, tol / dt)
    op_na = numpyfy_dask_multi(op_da, chunks)

    ai_np = op_np(dxi, fsample)
    ai_na = op_na(dxi, fsample)

    assert ai_np == pytest.approx(ai_na, abs=tol, rel=0)