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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Project: Fable Input Output
# https://github.com/silx-kit/fabio
#
# Copyright (C) European Synchrotron Radiation Facility, Grenoble, France
#
# Principal author: Jérôme Kieffer (Jerome.Kieffer@ESRF.eu)
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#
"""
Test for PNM images.
Jerome Kieffer, 04/12/2014
"""
__author__ = "Jerome Kieffer"
__date__ = "03/04/2020"
import os
import unittest
import numpy
import logging
logger = logging.getLogger(__name__)
from fabio.pnmimage import pnmimage
from fabio.openimage import openimage
from ..utilstest import UtilsTest
class TestPNM(unittest.TestCase):
"""basic test"""
results = """image0001.pgm 1024 1024 0 28416 353.795654296875 2218.0290682517543"""
def setUp(self):
"""Download files"""
self.fn = {}
for j in self.results.split("\n"):
i = j.split()[0]
self.fn[i] = UtilsTest.getimage(i + ".bz2")[:-4]
for i in self.fn:
assert os.path.exists(self.fn[i])
def test_read(self):
""" check we can read pnm images"""
vals = self.results.split()
name = vals[0]
dim1, dim2 = [int(x) for x in vals[1:3]]
shape = dim2, dim1
mini, maxi, mean, stddev = [float(x) for x in vals[3:]]
obj = openimage(self.fn[name])
self.assertAlmostEqual(mini, obj.getmin(), 4, "getmin")
self.assertAlmostEqual(maxi, obj.getmax(), 4, "getmax")
self.assertAlmostEqual(mean, obj.getmean(), 4, "getmean")
self.assertAlmostEqual(stddev, obj.getstddev(), 4, "getstddev")
self.assertEqual(shape, obj.shape)
def test_write(self):
pnmfile = os.path.join(UtilsTest.tempdir, "pnmfile.pnm")
shape = (9, 11)
size = shape[0] * shape[1]
data = numpy.random.randint(0, 65000, size=size).reshape(shape)
pnmimage(data=data).save(pnmfile)
with openimage(pnmfile) as pnm:
self.assertTrue(numpy.allclose(data, pnm.data), "data are the same")
if os.path.exists(pnmfile):
os.unlink(pnmfile)
def suite():
loadTests = unittest.defaultTestLoader.loadTestsFromTestCase
testsuite = unittest.TestSuite()
testsuite.addTest(loadTests(TestPNM))
return testsuite
if __name__ == '__main__':
runner = unittest.TextTestRunner()
runner.run(suite())
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