Example #1
0
    def generator_test_gravity(self, key):
        s = testutils.prepare_binary_system(
            testutils.BINARY_SYSTEM_PARAMS[key],
            spots_primary=testutils.SPOTS_META["primary"],
            spots_secondary=testutils.SPOTS_META["secondary"])
        s.primary.discretization_factor = up.radians(10)
        s.secondary.discretization_factor = up.radians(10)
        orbital_position_container = testutils.prepare_orbital_position_container(
            s)
        orbital_position_container.build_mesh(components_distance=1.0)
        orbital_position_container.build_faces(components_distance=1.0)
        orbital_position_container.build_surface_areas()
        orbital_position_container.build_faces_orientation(
            components_distance=1.0)
        orbital_position_container.build_surface_gravity(
            components_distance=1.0)

        self.assertTrue(
            hasattr(orbital_position_container.primary.spots[0],
                    "potential_gradient_magnitudes"))
        self.assertTrue(
            hasattr(orbital_position_container.secondary.spots[0],
                    "potential_gradient_magnitudes"))

        self.assertTrue(
            hasattr(orbital_position_container.primary.spots[0], "log_g"))
        self.assertTrue(
            hasattr(orbital_position_container.secondary.spots[0], "log_g"))

        self.assertTrue(
            not is_empty(orbital_position_container.primary.spots[0].log_g))
        self.assertTrue(
            not is_empty(orbital_position_container.secondary.spots[0].log_g))
Example #2
0
    def test_is_empty(self):
        empty = [None, dict(), list(), np.array([]), np.nan, pd.NaT]
        result = np.array([utils.is_empty(val) for val in empty])
        self.assertTrue(np.all(result))

        not_empty = [0, 1, -1, dict(x=1), [1], [0, 0], np.array([0])]
        result = np.array([utils.is_empty(val) for val in not_empty])

        self.assertTrue(np.all(up.invert(result)))
Example #3
0
    def plot(self):
        plt.figure(figsize=(8, 6))
        if not is_empty(self.mp_result["n_phases"]):
            plt.plot(self.mp_result["n_phases"],
                     np.round(self.mp_result["elapsed_time"], 2),
                     label=f"multiprocessing")
        if not is_empty(self.sc_result["n_phases"]):
            plt.plot(self.sc_result["n_phases"],
                     np.round(self.sc_result["elapsed_time"], 2),
                     label=f"singlecore")

        plt.legend()
        plt.xlabel('n_phases [-]')
        plt.ylabel('elapsed_time [s]')
        plt.show()
    def test_visible_indices_when_darkside_filter_apply(self):
        settings.configure(
            **{
                "LD_TABLES": op.join(self.lc_base_path, "limbdarkening"),
                "CK04_ATM_TABLES": op.join(self.lc_base_path, "atmosphere")
            })

        bs = prepare_binary_system(BINARY_SYSTEM_PARAMS['detached-physical'])
        from_this = dict(binary_system=bs,
                         position=const.Position(0, 1.0, 0.0, 0.0, 0.0))
        system = OrbitalPositionContainer.from_binary_system(**from_this)
        system.build(components_distance=1.0)
        system.calculate_face_angles(line_of_sight=const.LINE_OF_SIGHT)
        system.apply_darkside_filter()
        self.assertTrue((not is_empty(system.primary.indices))
                        and (not is_empty(system.secondary.indices)))
def parse_row(row):
    placeholder = list()
    for r in row:
        r = str(r).strip()
        if not utils.is_empty(r):
            placeholder.append(remove_parenthesis(r))
    return placeholder
def export_all_to_elisa_format(path):
    for law in ["lin", "log", "sqrt"]:
        for passband, band in __PASSBANDS_MAP__.items():
            for mh in const.METALLICITY_LIST_LD:
                pd_records = pd.DataFrame(columns=__TABLE_HEADERS__[law])
                for t in const.CK_TEMPERATURE_LIST_ATM:
                    for g in const.GRAVITY_LIST_LD:
                        obtained_record = get_record(t, g, mh, band)
                        if utils.is_empty(obtained_record):
                            continue
                        for rec in obtained_record:
                            if passband in rec:
                                rec = rec[passband]
                                try:
                                    df = pd.DataFrame(
                                        columns=__TABLE_HEADERS__[law])
                                    df[__TABLE_HEADERS__[law][2:]] = rec[
                                        __TABLE_HEADERS__[law][2:]]
                                    df[__TABLE_HEADERS__[law][0:2]] = [t, g]

                                    pd_records = pd.concat((pd_records, df))
                                except KeyError:
                                    pass

                tablename = get_elisa_filename(mh, law, passband)
                print(f"saving table {tablename}")
                pd_records.to_csv(pjoin(path, tablename), index=False)
Example #7
0
def plot_points(points_1, points_2, label):
    fig = plt.figure()
    ax = fig.add_subplot(111, projection='3d')
    ax.set_aspect('equal')

    var = up.concatenate([points_1, points_2]) if not is_empty(points_2) else points_1

    xx = np.array(list(zip(*var))[0])
    yy = np.array(list(zip(*var))[1])
    zz = np.array(list(zip(*var))[2])

    scat = ax.scatter(xx, yy, zz)
    scat.set_label(label)
    ax.legend()

    max_range = np.array([xx.max() - xx.min(), yy.max() - yy.min(), zz.max() - zz.min()]).max() / 2.0

    mid_x = (xx.max() + xx.min()) * 0.5
    mid_y = (yy.max() + yy.min()) * 0.5
    mid_z = (zz.max() + zz.min()) * 0.5
    ax.set_xlim(mid_x - max_range, mid_x + max_range)
    ax.set_ylim(mid_y - max_range, mid_y + max_range)
    ax.set_zlim(mid_z - max_range, mid_z + max_range)

    ax.set_xlabel("x")
    ax.set_ylabel("y")
    ax.set_zlabel("z")

    plt.show()
Example #8
0
    def generator_test_mesh(self, key, d):
        s = prepare_single_system(testutils.SINGLE_SYSTEM_PARAMS[key],
                                  spots=testutils.SPOTS_META["primary"])
        s.star.discretization_factor = d
        system_container = testutils.prepare_single_system_container(s)
        system_container.build_mesh()

        self.assertTrue(len(system_container.star.spots) == 1)
        self.assertTrue(not is_empty(system_container.star.spots[0].points))
Example #9
0
    def generator_test_surface_areas(self, key, d, kind, less=None):
        s = testutils.prepare_binary_system(
            testutils.BINARY_SYSTEM_PARAMS[key],
            spots_primary=testutils.SPOTS_META["primary"],
            spots_secondary=testutils.SPOTS_META["secondary"])
        s.primary.discretization_factor = d
        s.init()
        orbital_position_container = testutils.prepare_orbital_position_container(
            s)
        orbital_position_container.build_mesh(components_distance=1.0)
        orbital_position_container.build_faces(components_distance=1.0)
        orbital_position_container.build_surface_areas()

        if kind == "contain":
            self.assertTrue(
                not is_empty(orbital_position_container.primary.areas))
            self.assertTrue(
                not is_empty(orbital_position_container.secondary.areas))

            self.assertTrue(not is_empty(
                orbital_position_container.primary.spots[0].areas))
            self.assertTrue(not is_empty(
                orbital_position_container.secondary.spots[0].areas))

        if kind == "size":
            self.assertTrue(
                np.all(up.less(orbital_position_container.primary.areas,
                               less)))
            self.assertTrue(
                np.all(
                    up.less(orbital_position_container.secondary.areas, less)))

            self.assertTrue(
                np.all(
                    up.less(orbital_position_container.primary.spots[0].areas,
                            less)))
            self.assertTrue(
                np.all(
                    up.less(
                        orbital_position_container.secondary.spots[0].areas,
                        less)))
    def test_make_sure_spots_are_not_overwriten_in_star_instance(self):
        s = testutils.prepare_binary_system(
            testutils.BINARY_SYSTEM_PARAMS["detached"],
            spots_primary=testutils.SPOTS_META["primary"],
            spots_secondary=testutils.SPOTS_META["secondary"])
        s.primary.discretization_factor = up.radians(10)
        s.secondary.discretization_factor = up.radians(10)

        orbital_position_container = OrbitalPositionContainer(
            primary=StarContainer.from_properties_container(
                s.primary.to_properties_container()),
            secondary=StarContainer.from_properties_container(
                s.secondary.to_properties_container()),
            position=Position(*(0, 1.0, 0.0, 0.0, 0.0)),
            **s.properties_serializer())
        orbital_position_container.build_mesh(components_distance=1.0)
        self.assertTrue(is_empty(s.primary.spots[0].points))
        self.assertTrue(is_empty(s.secondary.spots[0].points))

        self.assertTrue(is_empty(s.primary.spots[0].faces))
        self.assertTrue(is_empty(s.secondary.spots[0].faces))
    def generator_test_mesh(self, key, d):
        s = testutils.prepare_binary_system(
            testutils.BINARY_SYSTEM_PARAMS[key],
            spots_primary=testutils.SPOTS_META["primary"],
            spots_secondary=testutils.SPOTS_META["secondary"])
        s.primary.discretization_factor = d
        s.secondary.discretization_factor = d
        orbital_position_container = OrbitalPositionContainer(
            primary=StarContainer.from_properties_container(
                s.primary.to_properties_container()),
            secondary=StarContainer.from_properties_container(
                s.secondary.to_properties_container()),
            position=Position(*(0, 1.0, 0.0, 0.0, 0.0)),
            **s.properties_serializer())
        orbital_position_container.build_mesh(components_distance=1.0)

        self.assertTrue(
            len(orbital_position_container.primary.spots) == 1
            and len(orbital_position_container.secondary.spots) == 1)
        self.assertTrue(
            not is_empty(orbital_position_container.primary.spots[0].points))
        self.assertTrue(
            not is_empty(orbital_position_container.secondary.spots[0].points))
def get_section(data, header):
    section = list()
    ends_on = "Teff = "
    found_section = False

    for line in data.split('\n'):
        line = str(line).strip()
        if line == header:
            found_section = True
            continue

        if found_section and ends_on in line:
            break
        if found_section and not utils.is_empty(line):
            section.append(line)
    return section
Example #13
0
    def generator_test_face_orientaion(self, key, kind):
        s = testutils.prepare_single_system(testutils.SINGLE_SYSTEM_PARAMS[key],
                                            spots=testutils.SPOTS_META["primary"],
                                            )
        s.star.discretization_factor = up.radians(7)
        s.init()
        position_container = testutils.prepare_single_system_container(s)
        position_container.build_mesh()
        position_container.build_faces()
        position_container.build_surface_areas()
        position_container.build_faces_orientation()

        if kind == 'present':
            self.assertTrue(not is_empty(position_container.star.normals))

            self.assertTrue(not is_empty(position_container.star.spots[0].normals))

        _assert = self.assertTrue
        if kind == 'direction':
            o = position_container

            face_points = o.star.points[o.star.faces]
            spot_face_points = o.star.spots[0].points[o.star.spots[0].faces]

            # x axis
            all_positive = (face_points[:, :, 0] >= 0).all(axis=1)
            _assert(np.all(o.star.normals[all_positive][:, 0] > 0))
            all_negative = (face_points[:, :, 0] <= 0).all(axis=1)
            _assert(np.all(o.star.normals[all_negative][:, 0] < 0))

            all_positive = (spot_face_points[:, :, 0] >= 0).all(axis=1)
            _assert(np.all(o.star.spots[0].normals[all_positive][:, 0] > 0))
            all_negative = (spot_face_points[:, :, 0] <= 0).all(axis=1)
            _assert(np.all(o.star.spots[0].normals[all_negative][:, 0] < 0))

            # y axis
            all_positive = (face_points[:, :, 1] >= 0).all(axis=1)
            _assert(np.all(o.star.normals[all_positive][:, 1] > 0))
            all_negative = (face_points[:, :, 1] <= 0).all(axis=1)
            _assert(np.all(o.star.normals[all_negative][:, 1] < 0))

            all_positive = (spot_face_points[:, :, 1] >= 0).all(axis=1)
            _assert(np.all(o.star.spots[0].normals[all_positive][:, 1] > 0))
            all_negative = (spot_face_points[:, :, 1] <= 0).all(axis=1)
            _assert(np.all(o.star.spots[0].normals[all_negative][:, 1] < 0))

            # z axis
            all_positive = (face_points[:, :, 2] >= 0).all(axis=1)
            _assert(np.all(o.star.normals[all_positive][:, 2] > 0))
            all_negative = (face_points[:, :, 2] <= 0).all(axis=1)
            _assert(np.all(o.star.normals[all_negative][:, 2] < 0))

            all_positive = (spot_face_points[:, :, 2] >= 0).all(axis=1)
            _assert(np.all(o.star.spots[0].normals[all_positive][:, 2] > 0))
            all_negative = (spot_face_points[:, :, 2] <= 0).all(axis=1)
            _assert(np.all(o.star.spots[0].normals[all_negative][:, 2] < 0))

        if kind == 'size':
            o = position_container

            normals_size = np.linalg.norm(o.star.normals, axis=1)
            _assert((np.round(normals_size, 5) == 1).all())

            spot_normals_size = np.linalg.norm(o.star.spots[0].normals, axis=1)
            _assert((np.round(spot_normals_size, 5) == 1).all())
Example #14
0
    def generator_test_face_orientaion(self, key, kind):
        s = testutils.prepare_binary_system(
            testutils.BINARY_SYSTEM_PARAMS[key],
            spots_primary=testutils.SPOTS_META["primary"],
            spots_secondary=testutils.SPOTS_META["secondary"])
        s.primary.discretization_factor = up.radians(7)
        s.init()
        orbital_position_container: OrbitalPositionContainer = testutils.prepare_orbital_position_container(
            s)
        orbital_position_container.build_mesh(components_distance=1.0)
        orbital_position_container.build_faces(components_distance=1.0)
        orbital_position_container.build_surface_areas()
        orbital_position_container.build_faces_orientation(
            components_distance=1.0)

        if kind == 'present':
            self.assertTrue(
                not is_empty(orbital_position_container.primary.normals))
            self.assertTrue(
                not is_empty(orbital_position_container.secondary.normals))

            self.assertTrue(not is_empty(
                orbital_position_container.primary.spots[0].normals))
            self.assertTrue(not is_empty(
                orbital_position_container.secondary.spots[0].normals))

        _assert = self.assertTrue
        if kind == 'direction':
            o = orbital_position_container

            for component in ['primary', 'secondary']:
                star = getattr(o, component)

                face_points = star.points[star.faces]
                spot_face_points = star.spots[0].points[star.spots[0].faces]

                face_points[:, :,
                            0] = face_points[:, :,
                                             0] - 1 if component == 'secondary' else face_points[:, :,
                                                                                                 0]
                spot_face_points[:, :, 0] = spot_face_points[:, :, 0] - 1 if component == 'secondary' else \
                    spot_face_points[:, :, 0]

                # x axis
                all_positive = (face_points[:, :, 0] > 0).all(axis=1)
                _assert(np.all(star.normals[all_positive][:, 0] > 0))
                all_negative = (face_points[:, :, 0] < 0).all(axis=1)
                _assert(np.all(star.normals[all_negative][:, 0] < 0))

                all_positive = (spot_face_points[:, :, 0] > 0).all(axis=1)
                _assert(np.all(star.spots[0].normals[all_positive][:, 0] > 0))
                all_negative = (spot_face_points[:, :, 0] <= 0).all(axis=1)
                _assert(np.all(star.spots[0].normals[all_negative][:, 0] < 0))

                # y axis
                all_positive = (face_points[:, :, 1] > 0).all(axis=1)
                _assert(np.all(star.normals[all_positive][:, 1] > 0))
                all_negative = (face_points[:, :, 1] < 0).all(axis=1)
                _assert(np.all(star.normals[all_negative][:, 1] < 0))

                all_positive = (spot_face_points[:, :, 1] > 0).all(axis=1)
                _assert(np.all(star.spots[0].normals[all_positive][:, 1] > 0))
                all_negative = (spot_face_points[:, :, 1] < 0).all(axis=1)
                _assert(np.all(star.spots[0].normals[all_negative][:, 1] < 0))

                # z axis
                all_positive = (face_points[:, :, 2] > 0).all(axis=1)
                _assert(np.all(star.normals[all_positive][:, 2] > 0))
                all_negative = (face_points[:, :, 2] < 0).all(axis=1)
                _assert(np.all(star.normals[all_negative][:, 2] < 0))

                all_positive = (spot_face_points[:, :, 2] > 0).all(axis=1)
                _assert(np.all(star.spots[0].normals[all_positive][:, 2] > 0))
                all_negative = (spot_face_points[:, :, 2] < 0).all(axis=1)
                _assert(np.all(star.spots[0].normals[all_negative][:, 2] < 0))

        if kind == 'size':
            o = orbital_position_container

            for component in ['primary', 'secondary']:
                star = getattr(o, component)

                normals_size = np.linalg.norm(star.normals, axis=1)
                _assert((np.round(normals_size, 5) == 1).all())

                spot_normals_size = np.linalg.norm(star.spots[0].normals,
                                                   axis=1)
                _assert((np.round(spot_normals_size, 5) == 1).all())