Improving test coverage

from unittest import mock

import numpy as np

import pytest

def test_ransac_permut(x, y, eidx):

    xp, yp, idx = rm.ransac_permute(x, y, 0.2, 2)

    np.testing.assert_array_equal(idx, eidx)

def test_add_correspondences():

    func = 'autocnet.matcher.cpu_ring_matcher.ring_match_one'

    with mock.patch(func, return_value=1):

        in_feats = np.array([[1,1], [2,2]])

        ref_feats = np.array([[1,1],[2,2],[3,3], [4,4], [5,5]])

        tar_feats = np.array([[1.1,1.0],[1.9,1.95],[3,3], [-4,-4], [5,5]])

        rm.add_correspondences(in_feats, ref_feats, tar_feats, None, None,

                               (0,6), (0,6),(0,1))

from unittest import mock

import pytest

from autocnet.transformation import spatial

def test_reproject():

    with mock.patch('pyproj.transform', return_value=[1,1,1]) as mock_pyproj:

        res = spatial.reproject([1,1,1], 10, 10, 'geocent', 'latlon')

        mock_pyproj.assert_called_once()

        assert res == (1,1,1)