Python vmat.VMAT類代碼示例

class Test_DRGS_105(VMATMixin, unittest.TestCase):
    """Tests of the result values of DRMLC images at 105cm SID."""
    drgs_105_open = osp.join(_vmat_test_files_dir, 'DRGSopen-105-example.dcm')
    drgs_105_dmlc = osp.join(_vmat_test_files_dir, 'DRGSmlc-105-example.dcm')

    def setUp(self):
        self.vmat = VMAT((self.drgs_105_dmlc, self.drgs_105_open))
        self.vmat.settings.x_offset = 20

    def test_overall_passed(self):
        """Test that the overall pass flag is true for default settings"""
        super().test_overall_passed('drgs')

    def test_segment_positions(self):
        """Test various values of the Segments."""
        self.vmat.analyze('drgs')
        segment_dict = {0: Point(371, 384), 2: Point(478, 384)}
        super().test_segment_positions(segment_dict)

    def test_segment_values(self):
        self.vmat.analyze('drgs')
        segment_dict = {
            0: {'r_dev': 0.780, 'r_corr': 102.43},
            4: {'r_dev': -0.282, 'r_corr': 101.357},
        }
        super().test_segment_values(segment_dict)

class Test_MLCS_105(VMATMixin, unittest.TestCase):
    """Tests of the result values of MLCS images at 105cm SID."""

    drmlc_105_open = osp.join(_vmat_test_files_dir, 'DRMLCopen-105-example.dcm')
    drmlc_105_dmlc = osp.join(_vmat_test_files_dir, 'DRMLCmlc-105-example.dcm')

    def setUp(self):
        self.vmat = VMAT((self.drmlc_105_dmlc, self.drmlc_105_open))

    def test_overall_passed(self):
        """Test that the overall pass flag is true for default settings"""
        super().test_overall_passed('mlcs')

    def test_segment_positions(self):
        """Test various values of the Segments."""
        self.vmat.analyze('mlcs')
        segment_dict = {0: Point(391, 384), 2: Point(552, 384)}
        super().test_segment_positions(segment_dict)

    def test_segment_values(self):
        self.vmat.analyze('mlcs')
        segment_dict = {
            0: {'r_dev': -0.040, 'r_corr': 100.83},
            2: {'r_dev': -0.021, 'r_corr': 100.85},
        }
        super().test_segment_values(segment_dict)

    def test_loading_with_bad_names(self):
        one = osp.join(TEST_DIR, 'no_test_or_image_type_1.dcm')
        two = osp.join(TEST_DIR, 'no_test_or_image_type_2.dcm')
        with self.assertRaises(ValueError):
            VMAT((one, two))

        # but will work when everything is specified
        v1 = VMAT(images=(one, two), delivery_types=['open', 'dmlc'])
        v1.analyze(DRMLC)

    def test_analyze_without_test_type(self):
        dmlc = osp.join(TEST_DIR, 'no_test_type_dmlc.dcm')
        opn = osp.join(TEST_DIR, 'no_test_type_open.dcm')
        vmat = VMAT((dmlc, opn))

        with self.assertRaises(ValueError):
            vmat.analyze()

        # but will run when test type is passed
        vmat.analyze('drmlc')

class Test_MLCS_demo(VMATMixin, unittest.TestCase):
    """Tests of the result values of the DRMLC demo images."""

    def setUp(self):
        self.vmat = VMAT()
        self.vmat.load_demo_image('mlcs')

    def test_demo(self):
        self.vmat.run_demo_mlcs()

    def test_overall_passed(self):
        """Test that the overall pass flag is true for default settings"""
        super().test_overall_passed('mlcs')

    def test_segment_positions(self):
        """Test various values of the Segments."""
        self.vmat.analyze('mlcs')
        segment_dict = {0: Point(170, 192), 2: Point(285, 192)}
        super().test_segment_positions(segment_dict)

    def test_segment_values(self):
        self.vmat.analyze('mlcs')
        segment_dict = {
            0: {'r_dev': 0.437, 'r_corr': 100.89},
            2: {'r_dev': -0.405, 'r_corr': 100.04},
        }
        super().test_segment_values(segment_dict)

class Test_DRGS_demo(VMATMixin, unittest.TestCase):
    """Tests of the result values of the DRGS demo images."""
    def setUp(self):
        self.vmat = VMAT()
        self.vmat.load_demo_image('drgs')
        self.vmat.settings.x_offset = 20

    def test_demo(self):
        """Run the demo; no errors should arise."""
        self.vmat.run_demo_drgs()

    def test_overall_passed(self):
        """Test that the overall pass flag is true for default settings"""
        super().test_overall_passed('drgs')

    def test_segment_positions(self):
        """Test various values of the Segments."""
        self.vmat.analyze('drgs')
        segment_dict = {0: Point(161, 192), 4: Point(314, 192)}
        super().test_segment_positions(segment_dict)

    def test_segment_values(self):
        self.vmat.analyze('drgs')
        segment_dict = {
            0: {'r_dev': 0.965, 'r_corr': 101.85},
            4: {'r_dev': -0.459, 'r_corr': 100.42},
        }
        super().test_segment_values(segment_dict)

class VMATMixin:
    filepaths = ('open', 'dmlc')
    test_type = ''
    x_offset = 0
    segment_positions = {1: Point(100, 200)}
    segment_values = {
        0: {'r_dev': 0, 'r_corr': 100},
        4: {'r_dev': 0, 'r_corr': 100},
    }
    avg_abs_r_deviation = 0
    avg_r_deviation = 0
    max_r_deviation = 0

    def setUp(self):
        self.vmat = VMAT(self.filepaths)
        self.vmat.settings.x_offset = self.x_offset
        self.vmat.analyze(self.test_type)

    def test_overall_passed(self):
        self.vmat.analyze(self.test_type)
        self.assertTrue(self.vmat.passed)

    def test_fail_with_tight_tolerance(self):
        self.vmat.analyze(self.test_type, tolerance=0.01)
        self.assertFalse(self.vmat.passed)

    def test_segment_positions(self):
        for key, value in self.segment_positions.items():
            within_1(self.vmat.segments[key].center.x, value.x)
            within_1(self.vmat.segments[key].center.y, value.y)

    def test_segment_values(self):
        for key, value in self.segment_values.items():
            within_01(self.vmat.segments[key].r_dev, value['r_dev'])
            within_01(self.vmat.segments[key].r_corr, value['r_corr'])

    def test_plotting(self):
        self.vmat.plot_analyzed_image('open')
        self.vmat.plot_analyzed_image('dmlc')

    def test_saving_images(self):
        save_file('test.png', self.vmat.save_analyzed_image)

    def test_deviations(self):
        self.assertAlmostEqual(self.vmat.avg_abs_r_deviation, self.avg_abs_r_deviation, delta=0.05)
        self.assertAlmostEqual(self.vmat.avg_r_deviation, self.avg_r_deviation, delta=0.02)
        self.assertAlmostEqual(self.vmat.max_r_deviation, self.max_r_deviation, delta=0.1)

class VMATMixin:
    filepaths = ('open', 'dmlc')
    is_zip = False
    test_type = ''
    x_offset = 0
    segment_positions = {1: Point(100, 200)}
    segment_values = {
        0: {'r_dev': 0, 'r_corr': 100},
        4: {'r_dev': 0, 'r_corr': 100},
    }
    avg_abs_r_deviation = 0
    avg_r_deviation = 0
    max_r_deviation = 0
    passes = True

    def setUp(self):
        if self.is_zip:
            self.vmat = VMAT.from_zip(self.filepaths)
        else:
            self.vmat = VMAT(self.filepaths)
        self.vmat.analyze(self.test_type, x_offset=self.x_offset)

    def test_overall_passed(self):
        self.vmat.analyze(self.test_type, x_offset=self.x_offset)
        self.assertEqual(self.vmat.passed, self.passes)

    def test_fail_with_tight_tolerance(self):
        self.vmat.analyze(self.test_type, tolerance=0.01, x_offset=self.x_offset)
        self.assertFalse(self.vmat.passed)

    def test_segment_positions(self):
        for key, value in self.segment_positions.items():
            within_1(self.vmat.segments[key].center.x, value.x)
            within_1(self.vmat.segments[key].center.y, value.y)

    def test_segment_values(self):
        for key, value in self.segment_values.items():
            within_01(self.vmat.segments[key].r_dev, value['r_dev'])
            within_01(self.vmat.segments[key].r_corr, value['r_corr'])

    def test_deviations(self):
        self.assertAlmostEqual(self.vmat.avg_abs_r_deviation, self.avg_abs_r_deviation, delta=0.05)
        self.assertAlmostEqual(self.vmat.avg_r_deviation, self.avg_r_deviation, delta=0.02)
        self.assertAlmostEqual(self.vmat.max_r_deviation, self.max_r_deviation, delta=0.1)

 def setUpClass(cls):
     cls.vmat = VMAT.from_demo_images()
     cls.vmat.analyze()

 def test_from_zip(self):
     path = osp.join(TEST_DIR, 'DRMLC.zip')
     v = VMAT.from_zip(path)
     v.analyze()

 def setUp(self):
     self.vmat = VMAT.from_demo_images('drgs')
     self.vmat.settings.x_offset = 20

 def test_from_urls(self):
     VMAT.from_url('https://s3.amazonaws.com/assuranceqa-staging/uploads/imgs/DRMLC.zip')  # shouldn't raise

 def test_demo_image_loads(self):
     """Test the that demo images load properly."""
     # shouldn't raise
     VMAT.from_demo_images(DRGS)
     VMAT.from_demo_images(DRMLC)

class TestLoading(TestCase):
    """Tests of the various loading schemas."""

    def setUp(self):
        self.vmat = VMAT()

    def test_load_image(self):
        good_name = osp.join(vmat_test_files_dir, 'no_test_type_dmlc.dcm')
        bad_name = osp.join(vmat_test_files_dir, 'no_test_or_image_type_1.dcm')

        # image type can be determined from a good name
        self.vmat.load_image(good_name)

        # but not a bad one
        with self.assertRaises(ValueError):
            self.vmat.load_image(bad_name)

    def test_from_urls(self):
        urls = ['https://s3.amazonaws.com/assuranceqa-staging/uploads/imgs/DRGS_dmlc.dcm',
                'https://s3.amazonaws.com/assuranceqa-staging/uploads/imgs/DRGS_open.dcm']
        VMAT.from_urls(urls)  # shouldn't raise

    def test_passing_3_images(self):
        """Test passing the wrong number of images."""
        with self.assertRaises(ValueError):
            self.vmat.load_images(('', '', ''))

    def test_demo_image_loads(self):
        """Test the that demo images load properly."""
        # shouldn't raise
        self.vmat.load_demo_image(DRGS)
        self.vmat.load_demo_image(DRMLC)

    def test_from_zip(self):
        path = osp.join(vmat_test_files_dir, 'DRMLC.zip')
        v = VMAT.from_zip(path)
        v.analyze()

    def test_loading_with_bad_names(self):
        one = osp.join(vmat_test_files_dir, 'no_test_or_image_type_1.dcm')
        two = osp.join(vmat_test_files_dir, 'no_test_or_image_type_2.dcm')
        with self.assertRaises(ValueError):
            self.vmat.load_images((one, two))

        # but will work when everything is specified
        self.vmat.load_image(one, OPEN)
        self.vmat.load_image(two, DMLC)
        self.vmat.analyze(DRMLC)

 def setUp(self):
     self.vmat = VMAT()
     self.vmat.load_demo_image('drgs')
     self.vmat.settings.x_offset = 20