This file is indexed.

/usr/lib/python2.7/dist-packages/cartopy/tests/test_crs_transform_vectors.py is in python-cartopy 0.14.2+dfsg1-2build3.

This file is owned by root:root, with mode 0o644.

The actual contents of the file can be viewed below.

  1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
# (C) British Crown Copyright 2013 - 2016, Met Office
#
# This file is part of cartopy.
#
# cartopy is free software: you can redistribute it and/or modify it under
# the terms of the GNU Lesser General Public License as published by the
# Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# cartopy is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with cartopy.  If not, see <https://www.gnu.org/licenses/>.

from __future__ import (absolute_import, division, print_function)

import unittest
import warnings

import numpy as np
from numpy.testing import assert_array_almost_equal

import cartopy.crs as ccrs


class TestTransformVectors(unittest.TestCase):

    def test_transform(self):
        # Test some simple vectors to make sure they are transformed
        # correctly.
        rlons = np.array([-90., 0, 90., 180.])
        rlats = np.array([0., 0., 0., 0.])
        src_proj = ccrs.PlateCarree()
        target_proj = ccrs.Stereographic(central_latitude=90,
                                         central_longitude=0)
        # transform grid eastward vectors
        ut, vt = target_proj.transform_vectors(src_proj,
                                               rlons,
                                               rlats,
                                               np.ones([4]),
                                               np.zeros([4]))
        assert_array_almost_equal(ut, np.array([0, 1, 0, -1]), decimal=2)
        assert_array_almost_equal(vt, np.array([-1, 0, 1, 0]), decimal=2)
        # transform grid northward vectors
        ut, vt = target_proj.transform_vectors(src_proj,
                                               rlons,
                                               rlats,
                                               np.zeros([4]),
                                               np.ones([4]))
        assert_array_almost_equal(ut, np.array([1, 0, -1, 0]), decimal=2)
        assert_array_almost_equal(vt, np.array([0, 1, 0, -1]), decimal=2)
        # transform grid north-eastward vectors
        ut, vt = target_proj.transform_vectors(src_proj,
                                               rlons,
                                               rlats,
                                               np.ones([4]),
                                               np.ones([4]))
        assert_array_almost_equal(ut, np.array([1, 1, -1, -1]), decimal=2)
        assert_array_almost_equal(vt, np.array([-1, 1, 1, -1]), decimal=2)

    def test_transform_and_inverse(self):
        # Check a full circle transform back to the native projection.
        x = np.arange(-60, 42.5, 2.5)
        y = np.arange(30, 72.5, 2.5)
        x2d, y2d = np.meshgrid(x, y)
        u = np.cos(np.deg2rad(y2d))
        v = np.cos(2. * np.deg2rad(x2d))
        src_proj = ccrs.PlateCarree()
        target_proj = ccrs.Stereographic(central_latitude=90,
                                         central_longitude=0)
        proj_xyz = target_proj.transform_points(src_proj, x2d, y2d)
        xt, yt = proj_xyz[..., 0], proj_xyz[..., 1]
        ut, vt = target_proj.transform_vectors(src_proj, x2d, y2d, u, v)
        utt, vtt = src_proj.transform_vectors(target_proj, xt, yt, ut, vt)
        assert_array_almost_equal(u, utt, decimal=4)
        assert_array_almost_equal(v, vtt, decimal=4)

    def test_invalid_input_domain(self):
        # If an input coordinate is outside the input projection domain
        # we should be able to handle it correctly.
        rlon = np.array([270.])
        rlat = np.array([0.])
        u = np.array([1.])
        v = np.array([0.])
        src_proj = ccrs.PlateCarree()
        target_proj = ccrs.Stereographic(central_latitude=90,
                                         central_longitude=0)
        ut, vt = target_proj.transform_vectors(src_proj, rlon, rlat, u, v)
        assert_array_almost_equal(ut, np.array([0]), decimal=2)
        assert_array_almost_equal(vt, np.array([-1]), decimal=2)

    def test_invalid_x_domain(self):
        # If the point we need to calculate the vector angle falls outside the
        # source projection x-domain it should be handled correctly as long as
        # it is not a corner point.
        rlon = np.array([180.])
        rlat = np.array([0.])
        u = np.array([1.])
        v = np.array([0.])
        src_proj = ccrs.PlateCarree()
        target_proj = ccrs.Stereographic(central_latitude=90,
                                         central_longitude=0)
        ut, vt = target_proj.transform_vectors(src_proj, rlon, rlat, u, v)
        assert_array_almost_equal(ut, np.array([-1]), decimal=2)
        assert_array_almost_equal(vt, np.array([0.]), decimal=2)

    def test_invalid_y_domain(self):
        # If the point we need to calculate the vector angle falls outside the
        # source projection y-domain it should be handled correctly as long as
        # it is not a corner point.
        rlon = np.array([0.])
        rlat = np.array([90.])
        u = np.array([0.])
        v = np.array([1.])
        src_proj = ccrs.PlateCarree()
        target_proj = ccrs.Stereographic(central_latitude=90,
                                         central_longitude=0)
        ut, vt = target_proj.transform_vectors(src_proj, rlon, rlat, u, v)
        assert_array_almost_equal(ut, np.array([0.]), decimal=2)
        assert_array_almost_equal(vt, np.array([1.]), decimal=2)

    def test_invalid_xy_domain_corner(self):
        # If the point we need to calculate the vector angle falls outside the
        # source projection x and y-domain it should be handled correctly.
        rlon = np.array([180.])
        rlat = np.array([90.])
        u = np.array([1.])
        v = np.array([1.])
        src_proj = ccrs.PlateCarree()
        target_proj = ccrs.Stereographic(central_latitude=90,
                                         central_longitude=0)
        ut, vt = target_proj.transform_vectors(src_proj, rlon, rlat, u, v)
        assert_array_almost_equal(ut, np.array([0.]), decimal=2)
        assert_array_almost_equal(vt, np.array([-2**.5]), decimal=2)

    def test_invalid_x_domain_corner(self):
        # If the point we need to calculate the vector angle falls outside the
        # source projection x-domain and is a corner point, it may be handled
        # incorrectly and a warning should be raised.
        rlon = np.array([180.])
        rlat = np.array([90.])
        u = np.array([1.])
        v = np.array([-1.])
        src_proj = ccrs.PlateCarree()
        target_proj = ccrs.Stereographic(central_latitude=90,
                                         central_longitude=0)
        with warnings.catch_warnings():
            warnings.simplefilter('error')
            with self.assertRaises(UserWarning):
                ut, vt = target_proj.transform_vectors(
                    src_proj, rlon, rlat, u, v)

    def test_invalid_y_domain_corner(self):
        # If the point we need to calculate the vector angle falls outside the
        # source projection y-domain and is a corner point, it may be handled
        # incorrectly and a warning should be raised.
        rlon = np.array([180.])
        rlat = np.array([90.])
        u = np.array([-1.])
        v = np.array([1.])
        src_proj = ccrs.PlateCarree()
        target_proj = ccrs.Stereographic(central_latitude=90,
                                         central_longitude=0)
        with warnings.catch_warnings():
            warnings.simplefilter('error')
            with self.assertRaises(UserWarning):
                ut, vt = target_proj.transform_vectors(
                    src_proj, rlon, rlat, u, v)