示例#1
0
def chip_frame(size=(20e3, 20e3),
               street_width=150,
               street_length=1e3,
               layer=pt.LayoutDefault.layerTop,
               name=None,
               text_pos={
                   'anchor_source': 's',
                   'anchor_dest': 's'
               }):

    die_cell = pg.basic_die(size=size,
                            die_name="",
                            layer=layer,
                            draw_bbox=False,
                            street_length=street_length,
                            street_width=street_width)

    if name is not None:

        cell = dl.Device(name=str(name.label))

    else:

        cell = dl.Device(name='default')

    cell.absorb(cell << die_cell)

    if name is not None:

        text_cell = name.draw()

        pt._move_relative_to_cell(cell << text_cell, cell, **text_pos)

    return cell
示例#2
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def align_TE_on_via():

    cell = dl.Device("Align TE on VIA")

    circle = pg.circle(radius=50, layer=pt.LayoutDefault.layerVias)

    cross = pg.cross(width=30, length=250, layer=pt.LayoutDefault.layerVias)

    g = Group([circle, cross])

    g.align(alignment='x')
    g.align(alignment='y')
    circle.add(cross)

    viapattern = pg.union(circle, 'A+B', layer=pt.LayoutDefault.layerVias)

    TEpattern = pg.union(circle, 'A+B',
                         layer=pt.LayoutDefault.layerTop).copy('tmp',
                                                               scale=0.8)

    cell.add(viapattern)
    cell.add(TEpattern)

    cell.align(alignment='x')
    cell.align(alignment='y')

    cell.flatten()

    return cell
示例#3
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def load_gds(cells):

    if isinstance(cells, str):

        cells = pathlib.Path(cells)

    elif isinstance(cells, list) or isinstance(cells, tuple):

        cells_logo = []

        for p in cells:

            if isinstance(p, str):

                # import pdb ; pdb.set_trace()

                cells_logo.append(pg.import_gds(p))

            elif isinstance(p, pathlib.Path):

                cells_logo.append(pg.import_gds(str(p.absolute())))

    g = Group(cells_logo)

    g.distribute(direction='x', spacing=150)

    g.align(alignment='y')

    logo_cell = dl.Device(name="cells")

    for c in cells_logo:

        logo_cell.add(c)

    logo_cell.flatten()

    logo_cell.name = 'Logos'

    return logo_cell
示例#4
0
import phidl.geometry as pg
import phidl.device_layout as dl

r = pg.rectangle()

p = dl.Device('parent')
rect_ref = p.add_ref(r, alias='rect_ref')

rect_ref.move(destination=(5, 0))

gp = dl.Device('grandparent')
parent_ref = gp.add_ref(p, alias='parent_ref')

parent_ref.move(destination=(5, 0))

print(gp['parent_ref'].parent['rect_ref'].origin)
示例#5
0
def verniers(scale=[1, 0.5, 0.1],
             layers=[1, 2],
             label='TE',
             text_size=20,
             reversed=False):
    """ Create a cell with vernier aligners.

    Parameters
    ----------
        scale : iterable of float (default [1,0.5,0.25])
            each float in list is the offset of a vernier.
            for each of them a vernier will be created in the X-Y axis

        layers : 2-len iterable of int (default [1,2])
            define the two layers for the verniers.

        label : str (default "TE")

            add a label to the set of verniers.

        text_size : float (default)

            label size

        reversed : boolean

            if true, creates a negative alignment mark for the second layer

    Returns
    -------
        cell : phidl.Device.
    """

    cell = dl.Device(name="verniers")

    import numpy

    if not isinstance(scale, numpy.ndarray):

        scale = np.array(scale)

    scale = np.sort(scale)

    xvern = []

    for dim in scale:

        notch_size = [dim * 5, dim * 25]
        notch_spacing = dim * 10
        num_notches = 5
        notch_offset = dim
        row_spacing = 0
        layer1 = layers[0]
        layer2 = layers[1]

        cal=pg.litho_calipers(\
            notch_size,\
            notch_spacing,\
            num_notches,\
            notch_offset,\
            row_spacing,\
            layer1,\
            layer2)

        cal.flatten()

        if reversed:

            tobedel = cal.get_polygons(by_spec=(layer2, 0))

            cal = cal.remove_polygons(
                lambda pts, layer, datatype: layer == layer2)

            replica = dl.Device()

            replica.add(gdspy.PolygonSet(tobedel, layer=layer2))

            frame = dl.Device()

            frame.add(pg.bbox(replica.bbox, layer=layer2))

            frame_ext = dl.Device()

            frame_ext.add(
                gdspy.PolygonSet(frame.copy('tmp', scale=1.5).get_polygons(),
                                 layer=layer2))

            frame_ext.flatten()

            frame_ext.move(origin=frame_ext.center, destination=replica.center)

            new_cal = pg.boolean(replica, frame_ext, 'xor', layer=layer2)

            new_cal.rotate(angle=180,
                           center=(cal.xmin + cal.xsize / 2, cal.ymin))

            new_cal.move(destination=(0, -notch_size[1]))

            cal << new_cal

            cal.flatten()

        xvern.append(cal)

    g = dl.Group(xvern)

    g.distribute(direction='y', spacing=scale[-1] * 20)
    g.align(alignment='x')
    xcell = dl.Device(name="x")

    for x in xvern:

        xcell << x

    xcell = pt.join(xcell)

    vern_x = cell << xcell
    vern_y = cell << xcell

    vern_y.rotate(angle=-90)
    vern_y.move(origin=(vern_y.xmin,vern_y.y),\
        destination=(vern_x.x+scale[-1]*10,vern_x.ymin-scale[-1]*10))

    cell.absorb(vern_x)
    cell.absorb(vern_y)

    label = pg.text(text=label, size=text_size, layer=layers[0])

    label.move(destination=(cell.xmax - label.xsize / 2,
                            cell.ymax - 2 * label.ysize))

    overlabel = pg.bbox(label.bbox, layer=layers[1])

    overlabel_scaled = dl.Device().add(
        gdspy.PolygonSet(overlabel.copy('tmp', scale=2).get_polygons(),
                         layer=layers[1]))

    overlabel_scaled.move(origin=overlabel_scaled.center,\
        destination=label.center)

    cutlab = pg.boolean(label, overlabel_scaled, 'xor', layer=layers[1])

    cell << label
    cell << cutlab

    cell = pt.join(cell)

    return cell