Ejemplo n.º 1
0
def position(distances, coordinates):
    """Finds position in solar system in reference to the planets in the system

    Parameters
    ----------
    distances : array_like()
        Distances to each planet in the system
    coordinates : array_like()
         coordinates of the planets in the system
    Returns
    -------
    array_like
        position relative to the input planets
    """
    circles = []
    for i in distances:
        circles.append((geometry.Circle(coordinates[i], distances[i])))
    intersect = np.zeros((len(circles), 2))
    for i in range(0, len(circles) - 3, 2):
        inter = np.array(geometry.intersection(circles[i], circles[i + 1]))
        for k in range(2):
            intersect[i + k] = inter[k]
    pt1 = 0
    pt2 = 0
    for i in range(2, len(intersect)):
        pt1 += np.sum((intersect[0] - intersect[i])**2)
        pt2 += np.sum((intersect[1] - intersect[i])**2)
    if pt1 < pt2:
        return intersect[0, 0], intersect[0, 1]
    else:
        return intersect[1, 0], intersect[1, 1]
def testSympyCircle():
    print "++ Sympy Arc ++"
    p1 = Point(0, 1)
    arg = {"ARC_0": p1, "ARC_1": 5, "ARC_2": 0, "ARC_3": 6.2831}
    arc = Arc(arg)
    sympCircle = arc.getSympy()
    print "sympCircle", sympCircle
    sympCircel = geoSympy.Circle(geoSympy.Point(10, 10), 10)
    arc.setFromSympy(sympCircel)
    print "Pythonca Arc ", arc
    print "-- Sympy Arc --"
Ejemplo n.º 3
0
Archivo: math.py Proyecto: wlaur/encomp
def circle_line_intersection(A: Union[tuple[float, float], geometry.Point2D],
                             B: Union[tuple[float, float], geometry.Point2D],
                             x0: float,
                             y0: float,
                             r: float) -> Optional[list[tuple[float, float]]]:
    """
    Finds the intersection point(s) between:

    * Circle with center :math:`x_0, y_0` and radius :math:`r`
    * Line between two points :math:`A \\rightarrow B`.

    Returns None in case the line does not intersect the circle.

    Parameters
    ----------
    A : Union[tuple[float], geometry.Point2D]
        start of the line
    B : Union[tuple[float], geometry.Point2D]
        end of the line
    x0 : float
        x-coordinate for circle center
    y0 : float
        y-coordinate for circle center
    r : float
        radius of circle

    Returns
    -------
    Optional[list[tuple[float, float]]]
        One or two intersection points between the circle and the line,
        or None in case the line and circle do no intersect.
    """

    if isinstance(A, tuple):
        A = geometry.Point2D(A[0], A[1])

    if isinstance(B, tuple):
        B = geometry.Point2D(B[0], B[1])

    circle = geometry.Circle((x0, y0), r)

    line = geometry.Segment2D(A, B)

    points = circle.intersection(line)

    if not points:
        return None

    return [(float(p[0]), float(p[1])) for p in points]
Ejemplo n.º 4
0
 def add_cell(self, network):
     cell = Circle((self.centre_x, self.centre_y), self.radius)
     nodes = network.vertices
     ridges = network.ridge_vertices
     nodes_to_delete = []
     ridges_to_delete = []
     for i in range(len(nodes)):
         if cell.contains_point(nodes[i]) == True:
             nodes_to_delete = np.append(nodes_to_delete, i)
     for i in range(len(ridges)):
         if ridges[i][0] in nodes_to_delete and ridges[i][
                 1] in nodes_to_delete:
             ridges_to_delete = np.append(ridges_to_delete, i)
     ridges_to_delete = np.array(sorted(ridges_to_delete, reverse=True))
     for ridge in ridges_to_delete:
         network.ridge_vertices = np.delete(network.ridge_vertices,
                                            int(ridge),
                                            axis=0)
     center = sg.Point(self.centre_x, self.centre_y)
     circ = sg.Circle(center, self.radius)
     k = 0
     for node in nodes_to_delete:
         node = int(node)
         for ridge in network.ridge_vertices:
             if ridge[0] == node:
                 if len(nodes[node]) == 3:
                     In_point = sg.Point(nodes[node][0], nodes[node][1],
                                         nodes[node][2])
                     Out_point = sg.Point(nodes[ridge[1]][0],
                                          nodes[ridge[1]][1],
                                          nodes[ridge[1]][1])
                 elif len(nodes[node]) == 2:
                     In_point = sg.Point(nodes[node][0], nodes[node][1])
                     Out_point = sg.Point(nodes[ridge[1]][0],
                                          nodes[ridge[1]][1])
                 line = sg.Line(In_point, Out_point)
                 intersec = sg.intersection(circ, line)
                 if length_square(nodes[ridge[1]] -
                                  intersec[0]) >= length_square(
                                      nodes[ridge[1]] - intersec[1]):
                     nodes = np.append(
                         nodes,
                         [[float(intersec[1].x),
                           float(intersec[1].y)]],
                         axis=0)
                 else:
                     nodes = np.append(
                         nodes,
                         [[float(intersec[0].x),
                           float(intersec[0].y)]],
                         axis=0)
                 ridge[0] = len(nodes) - 1
                 k += 1
             if ridge[1] == node:
                 if len(nodes[node]) == 3:
                     In_point = sg.Point(nodes[node][0], nodes[node][1],
                                         nodes[node][2])
                     Out_point = sg.Point(nodes[ridge[0]][0],
                                          nodes[ridge[0]][1],
                                          nodes[ridge[0]][1])
                 elif len(nodes[node]) == 2:
                     In_point = sg.Point(nodes[node][0], nodes[node][1])
                     Out_point = sg.Point(nodes[ridge[0]][0],
                                          nodes[ridge[0]][1])
                 line = sg.Line(In_point, Out_point)
                 intersec = sg.intersection(circ, line)
                 if length_square(nodes[ridge[0]] -
                                  intersec[0]) >= length_square(
                                      nodes[ridge[0]] - intersec[1]):
                     nodes = np.append(
                         nodes,
                         [[float(intersec[1].x),
                           float(intersec[1].y)]],
                         axis=0)
                 else:
                     nodes = np.append(
                         nodes,
                         [[float(intersec[0].x),
                           float(intersec[0].y)]],
                         axis=0)
                 ridge[1] = len(nodes) - 1
                 k += 1
     nodes_to_delete = np.array(sorted(nodes_to_delete, reverse=True))
     for point in nodes_to_delete:
         nodes = np.delete(nodes, int(point), 0)
     # Renumber points after deleting some
     for ridge in network.ridge_vertices:
         for i in range(2):
             r = 0
             for node in nodes_to_delete:
                 if node < ridge[i]:
                     r += 1
             ridge[i] = ridge[i] - r
     network.vertices = nodes
     network.vertices_ini = np.array(network.vertices.tolist())
     network = network.create_ridge_node_list()
     network = network.sort_nodes()
     network.interior_nodes = network.interior_nodes[:-k]
     self.boundary_cell = list(range(len(nodes) - k, len(nodes)))
     return network
Ejemplo n.º 5
0
def wspolrzednePktPrzekroju(geometria, temp):
    r"""
    Funkcja służąca do obliczenia niezbędnych wymiarów wirnika. Na poniższym rysunku został przedstawiony przekrój wirnika i punkty określające jego wymiary.
    
    .. figure:: ./image/przekroj.png
        :align: center
        :alt: Szkic przekroju wirnika
        :figclass: align-center
        :scale: 20%

        Szkic przekroju wirnika

    Punkty te odpowiadają następującym wymiarowm pobranym z GUI:

    * Promień otworu - odl. od osi pionowej do punktu A
    * Promień zewnętrzny - odl. od osi pionowej do punktu B
    * Promień u wylotu - odl. od osi pion
    * Wysokość łopatki - odcinek :math:`|BC|`
    * Kąt alfa - kąt :math:`\alpha`
    * Promień zaokrąglenia - odcinek :math:`|RD|=|RE|`
    * Wysokość pod naddatek - odcinek :math:`|EF|` 
    * Wysokość wirnika - odległość od punktu F do osi poziomej.

    W celu stworzenia geometrii w programie GMSH należy obliczyć położenie punktu :math:`D`. Punkt ten jest określane poprzez sprawdzenie punktów wspólnych okręglu zakreślonego w punkcie :math:`R` o promieniu :math:`|RD|` z prostą przechodzącą przez punkt :math:`C` odchyloną od poziomu o kąt :math:`\alpha`. Zadanie to zostało wykonane przy użyciu modułu SymPy.

    :param geometria: obiekt klasy Geometry zawierający dane geometryczne wirnika
    :type geometria: Geometry
    :param temp: tymczasowy kontener na dane, użyty w celu przechowywania informacji.
    :type temp: dictionary

    :return temp: uaktualniony kontener na dane.
    """

    # Deklaracja zmiennych
    alfa = geometria.alfa
    h1 = geometria.h1
    h2 = geometria.h2
    h3 = geometria.h3
    r3 = geometria.r3
    r4 = geometria.r4
    R = geometria.R

    # Deklaracja punktow na przekroju
    A = M([r3, h1])
    C = M([r4, h2])
    D = M([r4, h3])
    R_pos = M([(r4 + R), C[1]])
    temp['C'] = C
    temp['R_pos'] = R_pos

    # Tworzenie funkcji liniowej okreslajacej pochylenie wirnika
    a = np.tan(np.deg2rad(-alfa))
    b = h1 - a * r3
    funLin = lambda x: a * x + b
    temp['funLin'] = funLin

    # Wykorzystanie biblioteki Sympy do okreslenia punktu przeciecia sie
    # zaokraglonej czesci wirnika z pochylona plaszczyzna
    p1 = sg.Point(A[0], A[1])
    p2 = sg.Point(r3 - 2.0, funLin(r3 - 2.0))

    l = sg.Line(p1, p2)
    pc = sg.Point(R_pos[0], R_pos[1])
    c = sg.Circle(pc, R)
    temp['pc'] = pc
    # Punkty przeciecia sie okregu z prosta
    punkty = sg.intersection(c, l)

    # Okresl czy istnieja punkty przeciecia i wybierz poprawne
    if len(punkty) == 0:
        text = "Powierzchnia wylotu nie moze zostać stworzona. Zmien wartosc \
            wymiaru wysokosci lopatki, kat alfa, badz promien zaokraglenia"

        raise ValueError(text)

    if len(punkty) == 2:
        w = min(punkty, key=lambda p: p.y)
        B = M([sympy.N(w).x, sympy.N(w).y])
    else:
        w = punkty
        B = M([sympy.N(punkty).x, sympy.N(punkty).y])

    # Zbierz wszystkie punkty w jednej macierzy 'pkty_YZ'
    pkty_YZ = M([A, B, C, D, R_pos])

    # Przystosuj zmienne do obliczen w GMSH'u
    for i in pkty_YZ:
        i[0], i[1] = float(i[0]), float(i[1])
        i[0] = -i[0]

    # Dodaj trzeci wymiar do obliczonych punktow
    pkty_XYZ = np.insert(pkty_YZ, 0, 0.0, axis=1)
    temp['pkty_XYZ'] = pkty_XYZ
    return temp
Ejemplo n.º 6
0
 def __init__(self, name, *args):
     x, y, radius = map(self.parse_rational, args)
     super().__init__(name, geo.Circle(geo.Point(x, y), radius))
Ejemplo n.º 7
0
    def plot_map(self):
        if self.launch_location == 'izu':
            #for IZU URA-SABAKU!!
            # Set limit range in maps
            self.set_coordinate_izu()

            # for tamura version
            # Set map image
            img_map = Image.open("./map/Izu_map_mag.png")
            img_list = np.asarray(img_map)
            img_height = img_map.size[0]
            img_width = img_map.size[1]
            img_origin = np.array(
                [722, 749])  # TODO : compute by lat/long of launcher point

            #pixel2meter = (139.431463 - 139.41283)/1800.0 * lon2met
            pixel2meter = 0.946981208125

            # Define image range
            img_left = -1.0 * img_origin[0] * pixel2meter
            img_right = (img_width - img_origin[0]) * pixel2meter
            img_top = img_origin[1] * pixel2meter
            img_bottom = -1.0 * (img_height - img_origin[1]) * pixel2meter

            fig = plt.figure(figsize=(12, 10))

            # plot setting
            ax = fig.add_subplot(111)
            color_line = '#ffff33'  # Yellow
            color_circle = 'r'  # Red

            # Set circle object
            cir_rail = patches.Circle(xy=self.xy_rail,
                                      radius=self.lim_radius,
                                      ec=color_circle,
                                      fill=False)
            cir_switch = patches.Circle(xy=self.xy_switch,
                                        radius=self.lim_radius,
                                        ec=color_circle,
                                        fill=False)
            cir_tent = patches.Circle(xy=self.xy_tent,
                                      radius=self.lim_radius,
                                      ec=color_circle,
                                      fill=False)
            ax.add_patch(cir_rail)
            ax.add_patch(cir_switch)
            ax.add_patch(cir_tent)

            # plot map
            plt.imshow(img_list,
                       extent=(img_left, img_right, img_bottom, img_top))

            # Write landing permission range
            plt.plot(self.xy_rail[0],
                     self.xy_rail[1],
                     'r.',
                     color=color_circle,
                     markersize=12)
            plt.plot(self.xy_switch[0],
                     self.xy_switch[1],
                     '.',
                     color=color_circle)
            plt.plot(self.xy_tent[0], self.xy_tent[1], '.', color=color_circle)
            plt.plot(self.xy_range[:, 0],
                     self.xy_range[:, 1],
                     '--',
                     color=color_line)
            """
            # plot landing point for 2018/3/23
            plt.plot(self.xy_land[0], self.xy_land[1], 'r*', markersize = 12, label='actual langing point')
            """

        elif self.launch_location == 'noshiro_sea':
            #for NOSHIRO SEA!!
            # Set limit range in maps
            self.set_coordinate_noshiro()

            # Set map image
            img_map = Image.open("./map/noshiro_new_rotate.png")
            img_list = np.asarray(img_map)
            img_height = img_map.size[1]
            # print(img_map.size)
            img_width = img_map.size[0]
            img_origin = np.array(
                [894, 647])  # TODO : compute by lat/long of launcher point

            #pixel2meter
            pixel2meter = 8.96708

            # Define image range
            img_left = -1.0 * img_origin[0] * pixel2meter
            img_right = (img_width - img_origin[0]) * pixel2meter
            img_top = img_origin[1] * pixel2meter
            img_bottom = -1.0 * (img_height - img_origin[1]) * pixel2meter

            #calculate intersections of "inside_circle" and "over_line"
            center1 = sg.Point(self.xy_center[0], self.xy_center[1])
            radius1 = self.hachiya_radius
            circle1 = sg.Circle(center1, radius1)
            line = sg.Line(sg.Point(self.xy_point[0, 0], self.xy_point[0, 1]),
                           sg.Point(self.xy_point[1, 0], self.xy_point[1, 1]))
            result1 = sg.intersection(circle1, line)
            intersection1_1 = np.array(
                [float(result1[0].x), float(result1[0].y)])
            intersection1_2 = np.array(
                [float(result1[1].x), float(result1[1].y)])

            #caluculate equation of hachiya_line(="over_line")
            self.a = (self.xy_point[1, 1] - self.xy_point[0, 1]) / (
                self.xy_point[1, 0] - self.xy_point[0, 0])
            self.b = (self.xy_point[0, 1] * self.xy_point[1, 0] -
                      self.xy_point[1, 1] * self.xy_point[0, 0]) / (
                          self.xy_point[1, 0] - self.xy_point[0, 0])
            self.x = np.arange(intersection1_1[0], intersection1_2[0], 1)
            self.y = self.a * self.x + self.b
            self.hachiya_line = np.array([self.a, self.b])

            # plot setting
            plt.figure(figsize=(10, 10))
            ax = plt.axes()
            color_line = '#ffff33'  # Yellow
            color_circle = 'r'  # Red

            # Set circle object
            cir_rail = patches.Circle(xy=self.xy_rail,
                                      radius=self.lim_radius,
                                      ec=color_line,
                                      fill=False)
            #cir_switch = patches.Circle(xy=self.xy_switch, radius=self.lim_radius, ec=color_circle, fill=False)
            #cir_tent = patches.Circle(xy=self.xy_tent, radius=self.lim_radius, ec=color_circle, fill=False)
            cir_center = patches.Circle(xy=self.xy_center,
                                        radius=self.hachiya_radius,
                                        ec=color_circle,
                                        fill=False)

            ax.add_patch(cir_rail)
            #ax.add_patch(cir_switch)
            #ax.add_patch(cir_tent)
            ax.add_patch(cir_center)

            # plot map
            plt.imshow(img_list,
                       extent=(img_left, img_right, img_bottom, img_top))

            # Write landing permission range
            plt.plot(self.x, self.y, "r")
            plt.plot(self.xy_rail[0], self.xy_rail[1], '.', color=color_circle)
            #plt.plot(self.xy_switch[0], self.xy_switch[1], '.', color=color_circle)
            #plt.plot(self.xy_tent[0], self.xy_tent[1], '.', color=color_circle)
            #plt.plot(self.xy_range[:,0], self.xy_range[:,1], '--', color=color_line)
            plt.plot(self.xy_center[0],
                     self.xy_center[1],
                     '.',
                     color=color_circle)

        else:
            raise NotImplementedError(
                'Available location is: izu or noshiro_sea')

        return None