Exemple #1
0
    def testconvert1(self):
        # Base options
        ops = Options(name="Test")
        ops.beam = PencilBeam(1234)
        ops.detectors['xrays'] = PhotonIntensityDetector((0.1, 0.2),
                                                         (0.3, 0.4))
        ops.limits.add(ShowersLimit(5678))

        # Convert
        with warnings.catch_warnings(record=True) as ws:
            opss = self.converter.convert(ops)

        # 6 warnings for the default models
        self.assertEqual(5, len(ws))
        self.assertEqual(1, len(opss))

        # Test
        self.assertAlmostEqual(1234, opss[0].beam.energy_eV, 4)

        self.assertEqual(1, len(opss[0].detectors))

        self.assertEqual(1, len(opss[0].limits))
        limit = list(ops.limits.iterclass(ShowersLimit))[0]
        self.assertEqual(5678, limit.showers)

        self.assertEqual(5, len(opss[0].models))
    def testconvert1(self):
        # Base options
        ops = Options(name="Test")
        ops.beam = PencilBeam(1234)
        ops.detectors['xrays'] = PhotonIntensityDetector((0.1, 0.2), (0.3, 0.4))
        ops.limits.add(ShowersLimit(5678))

        # Convert
        with warnings.catch_warnings(record=True) as ws:
            opss = self.converter.convert(ops)

        # 6 warnings for the default models
        self.assertEqual(5, len(ws))
        self.assertEqual(1, len(opss))

        # Test
        self.assertAlmostEqual(1234, opss[0].beam.energy_eV, 4)

        self.assertEqual(1, len(opss[0].detectors))

        self.assertEqual(1, len(opss[0].limits))
        limit = list(ops.limits.iterclass(ShowersLimit))[0]
        self.assertEqual(5678, limit.showers)

        self.assertEqual(5, len(opss[0].models))
    def testconvert2(self):
        # Base options
        ops = Options(name="Test")
        ops.beam = PencilBeam(1234)
        ops.detectors['bse'] = BackscatteredElectronEnergyDetector(1000, (0, 1234))
        ops.detectors['photon'] = \
            PhotonSpectrumDetector((radians(35), radians(45)), (0, radians(360.0)),
                                   1000, (12.34, 56.78))
        ops.limits.add(ShowersLimit(5678))
        ops.limits.add(TimeLimit(60))

        # Convert
        opss = self.converter.convert(ops)

        # Test
        self.assertEqual(1, len(opss))

        self.assertAlmostEqual(1234, opss[0].beam.energy_eV, 4)

        self.assertEqual(1, len(opss[0].detectors))
        det = ops.detectors['bse']
        self.assertAlmostEqual(0, det.limits_eV[0], 4)
        self.assertAlmostEqual(1234, det.limits_eV[1], 4)
        self.assertEqual(1000, det.channels)

        self.assertEqual(1, len(opss[0].limits))
        limit = list(ops.limits.iterclass(ShowersLimit))[0]
        self.assertEqual(5678, limit.showers)

        self.assertEqual(7, len(opss[0].models))
Exemple #4
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    def _run(self, element):
        self._update_status(0.1, "Check version")
        if self.is_cancelled():
            return
        version = self._read_version(element)
        if version != VERSION:
            raise ValueError("Incompatible version: %s != %s" % (version, VERSION))

        self._update_status(0.13, "Reading name")
        if self.is_cancelled():
            return
        name = self._read_name(element)
        options = Options(name)

        self._update_status(0.16, "Reading UUID")
        if self.is_cancelled():
            return
        options._uuid = self._read_uuid(element)

        self._update_status(0.2, "Reading programs")
        if self.is_cancelled():
            return
        options.programs.update(self._read_programs(element))

        self._update_status(0.3, "Reading beams")
        if self.is_cancelled():
            return
        options.beam = self._read_beams(element)

        self._update_status(0.4, "Reading geometries")
        if self.is_cancelled():
            return
        options.geometry = self._read_geometries(element)

        self._update_status(0.6, "Reading detectors")
        if self.is_cancelled():
            return
        options.detectors.update(self._read_detectors(element))

        self._update_status(0.8, "Reading limits")
        if self.is_cancelled():
            return
        options.limits.update(self._read_limits(element))

        self._update_status(0.9, "Reading models")
        if self.is_cancelled():
            return
        options.models.update(self._read_models(element))

        return options
    def setUp(self):
        TestCase.setUp(self)

        self.outputdir = tempfile.mkdtemp()
        self.workdir = tempfile.mkdtemp()

        ops = Options('test')
        ops.beam = PencilBeam(5e3)
        ops.geometry.body.material = \
            Material({6: 0.4, 13: 0.6}, absorption_energy_eV={ELECTRON: 234.0})
        ops.detectors['xray'] = \
            PhotonIntensityDetector.annular(d2r(40.0), d2r(5.0))
        ops.limits.add(ShowersLimit(1))
        self.ops = Converter().convert(ops)[0]

        self.worker = Worker(program)
Exemple #6
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    def setUp(self):
        TestCase.setUp(self)

        self.outputdir = tempfile.mkdtemp()
        self.workdir = tempfile.mkdtemp()

        ops = Options('test')
        ops.beam = PencilBeam(5e3)
        ops.geometry.body.material = \
            Material({6: 0.4, 13: 0.6}, absorption_energy_eV={ELECTRON: 234.0})
        ops.detectors['xray'] = \
            PhotonIntensityDetector.annular(d2r(40.0), d2r(5.0))
        ops.limits.add(ShowersLimit(1))
        self.ops = Converter().convert(ops)[0]

        self.worker = Worker(program)
Exemple #7
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    def testconvert_pencilbeam(self):
        # Base options
        ops = Options(name="Test")
        ops.beam = PencilBeam(1234)
        ops.limits.add(ShowersLimit(100))
        ops.detectors['trajectories'] = TrajectoryDetector(False)

        # Convert
        opss = self.converter.convert(ops)

        # Test
        self.assertEqual(1, len(opss))

        self.assertAlmostEqual(1234, opss[0].beam.energy_eV, 4)
        self.assertAlmostEqual(0.0, opss[0].beam.diameter_m, 4)

        self.assertEqual(5, len(opss[0].models))
    def testconvert_pencilbeam(self):
        # Base options
        ops = Options(name="Test")
        ops.beam = PencilBeam(1234)
        ops.detectors['det1'] = TimeDetector()
        ops.limits.add(TimeLimit(100))

        # Convert
        with warnings.catch_warnings(record=True) as ws:
            opss = self.converter.convert(ops)

        # 7 warning:
        # PencilBeam -> GaussianBeam
        # Set default models (6)
        self.assertEqual(1, len(opss))
        self.assertEqual(7, len(ws))

        # Test
        self.assertAlmostEqual(1234, opss[0].beam.energy_eV, 4)
        self.assertAlmostEqual(0.0, opss[0].beam.diameter_m, 4)

        self.assertEqual(6, len(opss[0].models))
Exemple #9
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    def testconvert_pencilbeam(self):
        # Base options
        ops = Options(name="Test")
        ops.beam = PencilBeam(1234)
        ops.limits.add(ShowersLimit(100))
        ops.detectors['trajectories'] = TrajectoryDetector(False)

        # Convert
        with warnings.catch_warnings(record=True) as ws:
            opss = self.converter.convert(ops)

        # 7 warning:
        # PencilBeam -> GaussianBeam
        # Set default models (6)
        self.assertEqual(1, len(opss))
        self.assertEqual(7, len(ws))

        # Test
        self.assertAlmostEqual(1234, opss[0].beam.energy_eV, 4)
        self.assertAlmostEqual(0.0, opss[0].beam.diameter_m, 4)

        self.assertEqual(6, len(opss[0].models))