예제 #1
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    def get_poly_position(self):
        position = plane.Position()

        if self.caom_version >= 23:
            v0 = shape.Vertex(0.0, 0.0, shape.SegmentType.MOVE)
            v1 = shape.Vertex(1.0, 2.0, shape.SegmentType.LINE)
            v2 = shape.Vertex(2.0, 3.0, shape.SegmentType.LINE)
            v3 = shape.Vertex(3.0, 4.0, shape.SegmentType.LINE)
            v4 = shape.Vertex(0.0, 0.0, shape.SegmentType.CLOSE)
            vl = [v0, v1, v2, v3, v4]

            samples = shape.MultiPolygon(vertices=vl)

            p1 = shape.Point(0.0, 0.0)
            p2 = shape.Point(1.0, 2.0)
            p3 = shape.Point(2.0, 3.0)
            p4 = shape.Point(3.0, 4.0)
            p = [p1, p2, p3, p4]
            polygon = shape.Polygon(points=p, samples=samples)

            position.bounds = polygon

        position.dimension = wcs.Dimension2D(10, 20)
        position.resolution = 0.5
        position.sample_size = 1.1
        position.time_dependent = False

        return position
예제 #2
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def build_position(db_content, field_index, md_name):
    result_ra, result_dec = _get_ra_dec(md_name)

    # HK 19-08-19
    # Looking at the ALMA web archive listing, it claims a 'FOV' (field of
    # view) of 53.38 arcsec, which would presumably be the diameter of the
    # observed area. That corresponds to a radius of 26.69, which is a
    # little larger than the value of 24 given in caom2.

    fov = db_content['Field of view'][field_index]
    radius = ((fov / 2.0) * units.arcsec).to(units.degree)
    bounds = shape.Circle(center=shape.Point(result_ra, result_dec),
                          radius=radius.value)

    # HK 17-10-19
    # Position: resolution: should not be null.  For the sample dataset that
    # we've been iterating on, the alma web query lists a value of 0.4
    # arcsec (the 'Ang. res.' parameter).  While this number in principle
    # varies a little bit for the different spectral windows, I am not seeing
    # an easy way to extract more precise values using msmd.  Since the
    # achievable angular resolution actually depends a bit on how different
    # baselines are weighted during imaging, there isn't an exact fixed value
    # no matter what, so I think it would be fine to just use the ALMA web
    # query value as being 'good enough'.
    resolution = db_content['Spatial resolution'][field_index]

    return Position(bounds=bounds,
                    sample_size=None,
                    time_dependent=False,
                    resolution=resolution)
예제 #3
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def test_open_polygon():
    p1 = shape.Point(-117.246094, 52.942018)
    p2 = shape.Point(-101.601563, 56.535258)
    p3 = shape.Point(-97.382813, 44.809122)
    p4 = shape.Point(-111.445313, 37.405074)
    # SphericalPolygon requires p1 == p5 for a closed polygon
    p5 = shape.Point(-117.246094, 52.942018)
    too_few_points = [p1, p2]
    min_closed_points = [p1, p2, p3]
    closed_points = [p1, p2, p3, p4, p5]
    counter_clockwise_points = [p4, p3, p2, p1]

    # should detect that the polygons is not clockwise
    with pytest.raises(AssertionError) as ex:
        validate_polygon(shape.Polygon(counter_clockwise_points))
    assert('not in clockwise direction' in str(ex.value))
    # should detect that polygon is requires a minimum of 4 points
    with pytest.raises(AssertionError) as ex:
        validate_polygon(shape.Polygon(too_few_points))
    assert('invalid polygon: 2 points' in str(ex.value))

    # polygon default constructor
    validate_polygon(shape.Polygon())

    # should detect that polygon is closed
    validate_polygon(shape.Polygon(min_closed_points))
    validate_polygon(shape.Polygon(closed_points))

    # should detect that multipolygon is not closed
    v0 = shape.Vertex(-126.210938, 67.991108, shape.SegmentType.MOVE)
    v1 = shape.Vertex(-108.984375, 70.480896, shape.SegmentType.LINE)
    v2 = shape.Vertex(-98.789063, 66.912834, shape.SegmentType.LINE)
    v3 = shape.Vertex(-75.234375, 60.217991, shape.SegmentType.LINE)
    v4 = shape.Vertex(-87.890625, 52.241256, shape.SegmentType.LINE)
    v5 = shape.Vertex(-110.742188, 54.136696, shape.SegmentType.LINE)
    v6 = shape.Vertex(0.0, 0.0, shape.SegmentType.CLOSE)
    v7 = shape.Vertex(24.609375, 62.895218, shape.SegmentType.MOVE)
    v8 = shape.Vertex(43.593750, 67.322924, shape.SegmentType.LINE)
    v9 = shape.Vertex(55.898438, 62.734601, shape.SegmentType.LINE)
    v10 = shape.Vertex(46.757813, 56.145550, shape.SegmentType.LINE)
    v11 = shape.Vertex(26.015625, 55.354135, shape.SegmentType.LINE)
    v12 = shape.Vertex(0.0, 0.0, shape.SegmentType.CLOSE)
    closed_vertices = [
        v0, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12]

    # should detect that multipolygon is closed
    validate_multipolygon(shape.MultiPolygon(closed_vertices))
예제 #4
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    def get_circle_position(self):
        position = plane.Position()
        position.bounds = shape.Circle(shape.Point(1.1, 2.2), 3.0)
        position.dimension = wcs.Dimension2D(10, 20)
        position.resolution = 0.5
        position.sample_size = 1.1
        position.time_dependent = False

        return position
예제 #5
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 def get_circle_position(self):
     position = plane.Position()
     position.bounds = shape.Circle(shape.Point(1.1, 2.2), 3.0)
     position.dimension = wcs.Dimension2D(10, 20)
     position.resolution = 0.5
     position.sample_size = 1.1
     position.time_dependent = False
     if self.caom_version >= 24:
         position.resolution_bounds = shape.Interval(1.0, 2.0)
     return position
예제 #6
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def test_polygon_self_intersection():
    # should detect self segment intersection of the polygon not near a
    # Pole
    p1 = shape.Point(-115.488281, 45.867063)
    p2 = shape.Point(-91.230469, 36.075742)
    p3 = shape.Point(-95.800781, 54.807017)
    p4 = shape.Point(-108.457031, 39.951859)
    p5 = shape.Point(0.0, 0.0)
    points_with_self_intersecting_segments = [p1, p2, p3, p4, p5]
    with pytest.raises(AssertionError) as ex:
        poly = shape.Polygon(points_with_self_intersecting_segments)
        validate_polygon(poly)
    assert('self intersecting' in str(ex.value))

    # should detect self segment intersection of the polygon near the
    # South Pole, with the Pole outside the polygon
    p1 = shape.Point(0.6128286003, -89.8967940441)
    p2 = shape.Point(210.6391743183, -89.9073892376)
    p3 = shape.Point(90.6405151921, -89.8972874698)
    p4 = shape.Point(270.6114701911, -89.90689353)
    p5 = shape.Point(0.0, 0.0)
    points_with_self_intersecting_segments = [p1, p2, p3, p4, p5]
    with pytest.raises(AssertionError) as ex:
        poly = shape.Polygon(points_with_self_intersecting_segments)
        validate_polygon(poly)
    assert('self intersecting' in str(ex.value))

    # should detect self segment intersection of the polygon near the
    # South Pole, with the Pole inside the polygon
    p1 = shape.Point(0.6128286003, -89.8967940441)
    p2 = shape.Point(130.6391743183, -89.9073892376)
    p3 = shape.Point(90.6405151921, -89.8972874698)
    p4 = shape.Point(270.6114701911, -89.90689353)
    p5 = shape.Point(0.0, 0.0)
    points_with_self_intersecting_segments = [p1, p2, p3, p4, p5]
    with pytest.raises(AssertionError) as ex:
        poly = shape.Polygon(points_with_self_intersecting_segments)
        validate_polygon(poly)
    assert('self intersecting' in str(ex.value))

    # should detect self segment intersection of the polygon which
    # intersects with meridian = 0
    p1 = shape.Point(-7.910156, 13.293411)
    p2 = shape.Point(4.042969, 7.068185)
    p3 = shape.Point(4.746094, 18.030975)
    p4 = shape.Point(-6.855469, 6.369894)
    p5 = shape.Point(0.0, 0.0)
    points_with_self_intersecting_segments = [p1, p2, p3, p4, p5]
    with pytest.raises(AssertionError) as ex:
        poly = shape.Polygon(points_with_self_intersecting_segments)
        validate_polygon(poly)
    assert('self intersecting' in str(ex.value))
예제 #7
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 def get_target_position(self):
     point = shape.Point(1.0, 2.0)
     target_position = observation.TargetPosition(point, "coordsys")
     target_position.equinox = 3.0
     return target_position