示例#1
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def generate_penrose_rhombic_lattice(shape, NH, NV, check=False):
    """Make lattice from rhombic penrose tiling

    Parameters
    ----------
    shape : str
    NH : int
    NV : int
    check : bool

    Returns
    ----------
    xy, NL, KL, BL, TRI, lattice_exten
    """
    if NH < 160 and NV < 160:
        Num_sub = int(np.ceil(np.log2(NH) + 3))
    else:
        Num_sub = int(np.ceil(np.log2(NH) + 4))
    xy, NL, KL, BL, TRI, lattice_exten = generate_penrose_rhombic_tiling(Num_sub, check=check)
    xy, NL, KL, BL = blf.mask_with_polygon(shape, NH, NV, xy, BL, check=check)
    lattice_exten = lattice_exten.split('_div')[0] + '_'+shape+'_div'+lattice_exten.split('_div')[1]
    return xy, NL, KL, BL, lattice_exten, Num_sub
示例#2
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def build_accordionkag_isocent(lp):
    """Create an accordion-bonded kagomized amorphous network from a loaded jammed point set.

    Parameters
    ----------
    lp

    Returns
    -------

    """
    shape = lp['shape']
    check = lp['check']
    NH = lp['NH']
    NV = lp['NV']
    print('Loading isostatic to build kagome-decorated lattice...')
    import lepm.build.build_jammed as build_jammed
    use_hexner = (lp['source'] == 'hexner')
    if use_hexner:
        # Use Daniel Hexner's lattices
        points, BL, LLv, numberstr, sizestr, lp = build_jammed.load_hexner_jammed(
            lp, BL_load=False)
        LL = (LLv, LLv)
    else:
        number = '{0:03d}'.format(int(lp['loadlattice_number']))
        zindex = '{0:03d}'.format(int(lp['loadlattice_z']))
        points = np.loadtxt(lp['rootdir'] + 'networks/' +
                            'isostatic_source/isostatic_homog_z' + zindex +
                            '_conf' + number + '_nodes.txt')
        # LL = NH

    points -= np.mean(points, axis=0)

    # Separate procedure if not using entire lattice
    if lp['NP_load'] == 0:
        # Do initial (generous) cropping if not using entire lattice
        if check:
            plt.plot(points[:, 0], points[:, 1], 'b.')
            plt.title('Point set before initial cutting')
            plt.show()
        xytmp, trash1, trash2, trash3 = blf.mask_with_polygon(shape,
                                                              NH * 1.2 + 8,
                                                              NV * 1.2 + 8,
                                                              points, [],
                                                              eps=0.)
        polygon = blf.auto_polygon(shape, NH, NV, eps=0.00)
        if check:
            plt.plot(xytmp[:, 0], xytmp[:, 1], 'b.')
            plt.title('Point set after initial cutting')
            plt.show()

        xy, NL, KL, BL = le.delaunay_centroid_lattice_from_pts(
            xytmp, polygon=polygon, trimbound=False, check=lp['check'])

        #################################################################
        # nzag controlled by lp['intparam'] below
        xyacc, BLacc, LVUC, UC, xyvertices, lattice_exten_add = \
            blf.accordionize_network(xy, BL, lp, PVxydict=None, PVx=None, PVy=None, PV=None)

        print 'BL = ', BL

        # need indices of xy that correspond to xyvertices
        # note that xyvertices gives the positions of the vertices, not their indices
        inRx = np.in1d(xyacc[:, 0], xyvertices[:, 0])
        inRy = np.in1d(xyacc[:, 1], xyvertices[:, 1])
        vxind = np.where(np.logical_and(inRx, inRy))[0]
        print 'vxind = ', vxind

        # Note: beware, do not provide NL and KL to decorate_bondneighbors_elements() since NL,KL need
        # to be recalculated
        xy, BL = blf.decorate_bondneighbors_elements(xyacc,
                                                     BLacc,
                                                     vxind,
                                                     PVxydict=None,
                                                     viewmethod=False,
                                                     check=lp['check'])
        NL, KL = le.BL2NLandKL(BL, NP=len(xy))

        #################################################################

        LL = (np.max(xy[:, 0]) - np.min(xy[:, 0]),
              np.max(xy[:, 1]) - np.min(xy[:, 1]))
        PVxydict = {}
        PVx = []
        PVy = []
        periodicBCstr = ''
    else:
        polygon = 0.5 * np.array([[-LL[0], -LL[1]], [LL[0], -LL[1]],
                                  [LL[0], LL[1]], [-LL[0], LL[1]]])
        xy, NL, KL, BL, PVxydict = blf.kagomecentroid_periodic_network_from_pts(
            points, LL, BBox='auto', check=lp['check'])
        PVx, PVy = le.PVxydict2PVxPVy(PVxydict, NL)
        periodicBCstr = '_periodic'

    # Rescale so that median bond length is unity
    bL = le.bond_length_list(xy, BL, NL=NL, KL=KL, PVx=PVx, PVy=PVy)
    scale = 1. / np.median(bL)
    xy *= scale
    polygon *= scale
    LL = (LL[0] * scale, LL[1] * scale)
    if lp['periodicBC']:
        PVx *= scale
        PVy *= scale
        PVxydict.update((key, val * scale) for key, val in PVxydict.items())

    lattice_exten = 'accordionkag_isocent_' + shape + periodicBCstr + '_d{0:02d}'.format(int(lp['conf'])) + \
                    lattice_exten_add

    if use_hexner:
        lattice_exten = 'accordionkag_isocent_' + shape + periodicBCstr + '_hexner_size' + sizestr + '_conf' + \
                        numberstr + lattice_exten_add
    else:
        lattice_exten = 'accordionkag_isocent_' + shape + periodicBCstr + '_ulrich_homog_zindex' + zindex + \
                        lattice_exten_add
    LV = 'none'
    LVUC = 'none'
    UC = 'none'
    BBox = polygon
    return xy, NL, KL, BL, PVxydict, PVx, PVy, LL, LVUC, LV, UC, BBox, lattice_exten
示例#3
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def build_iscentroid(lp):
    """Build centroidal (honeycomb-like) network from isostatic point set generated by Daniel Hexner.

    """
    NH = lp['NH']
    NV = lp['NV']
    # First check that if periodic, NP_load is defined as nonzero
    if lp['periodicBC']:
        if lp['NP_load'] == 0:
            RuntimeError(
                'For iscentroid lattices, if periodicBC, then must specify NP_load instead of NH, NV.'
            )

    use_hexner = (lp['source'] == 'hexner')
    if use_hexner:
        # Use Daniel Hexner's lattices
        points, BL, LLv, numberstr, sizestr, lp = build_jammed.load_hexner_jammed(
            lp, BL_load=False)
        LL = (LLv, LLv)
    else:
        # Use Stephan Ulrich's lattices
        if lp['periodicBC']:
            RuntimeError('Not sure if Stephan Ulrich lattices are periodic!')
        number = '{0:03d}'.format(int(lp['loadlattice_number']))
        zindex = '{0:03d}'.format(int(lp['loadlattice_z']))
        points = np.loadtxt(lp['rootdir'] + 'networks/' +
                            'isostatic_source/isostatic_homog_z' + zindex +
                            '_conf' + number + '_nodes.txt')
        LL = (NH, NV)

    points -= np.mean(points, axis=0)

    # Do initial (generous) cropping if not using entire lattice
    if lp['NP_load'] == 0:
        if lp['check']:
            plt.plot(points[:, 0], points[:, 1], 'b.')
            plt.title('Point set before initial cutting')
            plt.show()
        xytmp, trash1, trash2, trash3 = \
            blf.mask_with_polygon(lp['shape'], NH * 2. + 5, NV * 2. + 5, points, [], eps=0.00)
        polygon = blf.auto_polygon(lp['shape'], NH, NV, eps=0.00)
        if lp['check']:
            plt.plot(xytmp[:, 0], xytmp[:, 1], 'b.')
            plt.title('Point set after initial cutting')
            plt.show()
        xy, NL, KL, BL = le.delaunay_centroid_lattice_from_pts(
            xytmp, polygon=polygon, trimbound=False, check=lp['check'])
        LL = (np.max(xy[:, 0]) - np.min(xy[:, 0]),
              np.max(xy[:, 1]) - np.min(xy[:, 1]))
        PVxydict = {}
        PVx = []
        PVy = []
        periodicBCstr = ''
    else:
        polygon = 0.5 * np.array([[-LL[0], -LL[1]], [LL[0], -LL[1]],
                                  [LL[0], LL[1]], [-LL[0], LL[1]]])
        xy, NL, KL, BL, PVxydict = le.delaunay_centroid_rect_periodic_network_from_pts(
            points, LL, BBox='auto', check=lp['check'])
        PVx, PVy = le.PVxydict2PVxPVy(PVxydict, NL)
        periodicBCstr = '_periodic'
    if lp['check']:
        plt.plot(xy[:, 0], xy[:, 1], 'b.')
        plt.title('Point set after decoration and cropping')
        plt.show()

    # Rescale so that median bond length is unity
    bL = le.bond_length_list(xy, BL, NL=NL, KL=KL, PVx=PVx, PVy=PVy)
    scale = 1. / np.median(bL)
    xy *= scale
    polygon *= scale
    LL = (LL[0] * scale, LL[1] * scale)
    if lp['NP_load'] != 0:
        PVx *= scale
        PVy *= scale
        PVxydict.update((key, val * scale) for key, val in PVxydict.items())

    if use_hexner:
        lattice_exten = 'iscentroid_' + lp[
            'shape'] + periodicBCstr + '_hexner_size' + sizestr + '_conf' + numberstr
    else:
        lattice_exten = 'iscentroid_' + lp[
            'shape'] + periodicBCstr + '_homog_zindex' + zindex + '_conf' + number[
                1:]
    BBox = polygon
    LV = 'none'
    LVUC = 'none'
    UC = 'none'
    return xy, NL, KL, BL, PVx, PVy, PVxydict, LVUC, BBox, LL, LV, UC, lattice_exten
示例#4
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def build_kagome_isocent(lp):
    """

    Parameters
    ----------
    lp

    Returns
    -------

    """
    shape = lp['shape']
    check = lp['check']
    NH = lp['NH']
    NV = lp['NV']
    print('Loading isostatic to build kagome-decorated lattice...')
    import lepm.build.build_jammed as build_jammed
    use_hexner = (lp['source'] == 'hexner')
    if use_hexner:
        # Use Daniel Hexner's lattices
        points, BL, LLv, numberstr, sizestr, lp = build_jammed.load_hexner_jammed(
            lp, BL_load=False)
        LL = (LLv, LLv)
    else:
        number = '{0:03d}'.format(int(lp['loadlattice_number']))
        zindex = '{0:03d}'.format(int(lp['loadlattice_z']))
        points = np.loadtxt(lp['rootdir'] + 'networks/' +
                            'isostatic_source/isostatic_homog_z' + zindex +
                            '_conf' + number + '_nodes.txt')
        # LL = NH

    points -= np.mean(points, axis=0)

    # Separate procedure if not using entire lattice
    if lp['NP_load'] == 0:
        # Do initial (generous) cropping if not using entire lattice
        if check:
            plt.plot(points[:, 0], points[:, 1], 'b.')
            plt.title('Point set before initial cutting')
            plt.show()
        xytmp, trash1, trash2, trash3 = blf.mask_with_polygon(shape,
                                                              NH * 1.2 + 8,
                                                              NV * 1.2 + 8,
                                                              points, [],
                                                              eps=0.)
        polygon = blf.auto_polygon(shape, NH, NV, eps=0.00)
        if check:
            plt.plot(xytmp[:, 0], xytmp[:, 1], 'b.')
            plt.title('Point set after initial cutting')
            plt.show()

        xy, NL, KL, BL = blf.kagomecentroid_lattice_from_pts(xytmp,
                                                             polygon=polygon,
                                                             trimbound=False,
                                                             thres=2.0,
                                                             check=lp['check'])
        LL = (np.max(xy[:, 0]) - np.min(xy[:, 0]),
              np.max(xy[:, 1]) - np.min(xy[:, 1]))
        PVxydict = {}
        PVx = []
        PVy = []
        periodicBCstr = ''
    else:
        polygon = 0.5 * np.array([[-LL[0], -LL[1]], [LL[0], -LL[1]],
                                  [LL[0], LL[1]], [-LL[0], LL[1]]])
        xy, NL, KL, BL, PVxydict = blf.kagomecentroid_periodic_network_from_pts(
            points, LL, BBox='auto', check=lp['check'])
        PVx, PVy = le.PVxydict2PVxPVy(PVxydict, NL)
        periodicBCstr = '_periodic'

    if check:
        plt.plot(xy[:, 0], xy[:, 1], 'b.')
        plt.title('Point set after decoration and cropping')
        plt.show()

    # Rescale so that median bond length is unity
    bL = le.bond_length_list(xy, BL, NL=NL, KL=KL, PVx=PVx, PVy=PVy)
    scale = 1. / np.median(bL)
    xy *= scale
    polygon *= scale
    LL = (LL[0] * scale, LL[1] * scale)
    if lp['NP_load'] != 0:
        PVx *= scale
        PVy *= scale
        PVxydict.update((key, val * scale) for key, val in PVxydict.items())

    if use_hexner:
        lattice_exten = 'kagome_isocent_' + shape + periodicBCstr + '_hexner_size' + sizestr + '_conf' + numberstr
    else:
        lattice_exten = 'kagome_isocent_' + shape + periodicBCstr + '_ulrich_homog_zindex' + zindex +\
                        '_conf' + number[1:]
    BBox = polygon
    LV = 'none'
    UC = 'none'
    LVUC = 'none'
    return xy, NL, KL, BL, PVx, PVy, PVxydict, LVUC, BBox, LL, LV, UC, lattice_exten
示例#5
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def build_lattice(lattice):
    """Build the lattice based on the values stored in the lp dictionary attribute of supplied lattice instance.

    Returns
    -------
    lattice : lattice_class lattice instance
        The instance of the lattice class, with the following attributes populated:
        lattice.xy = xy
        lattice.NL = NL
        lattice.KL = KL
        lattice.BL = BL
        lattice.PVx = PVx
        lattice.PVy = PVy
        lattice.PVxydict = PVxydict
        lattice.PV = PV
        lattice.lp['BBox'] : #vertices x 2 float array
            BBox is the polygon used to crop the lattice or defining the extent of the lattice; could be hexagonal, for instance.
        lattice.lp['LL'] : tuple of 2 floats
            LL are the linear extent in each dimension of the lattice. For ex:
            ( np.max(xy[:,0])-np.min(xy[:,0]), np.max(xy[:,1])-np.min(xy[:,1]) )
        lattice.lp['LV'] = LV
        lattice.lp['UC'] = UC
        lattice.lp['lattice_exten'] : str
            A string specifier for the lattice built
        lattice.lp['slit_exten'] = slit_exten
    """
    # Define some shortcut variables
    lattice_type = lattice.lp['LatticeTop']
    shape = lattice.lp['shape']
    NH = lattice.lp['NH']
    NV = lattice.lp['NV']
    lp = lattice.lp
    networkdir = lattice.lp['rootdir'] + 'networks/'
    check = lattice.lp['check']
    if lattice_type == 'hexagonal':
        from build_hexagonal import build_hexagonal
        xy, NL, KL, BL, PVxydict, PVx, PVy, PV, LL, LVUC, LV, UC, BBox, lattice_exten = build_hexagonal(
            lp)
    elif lattice_type == 'hexmeanfield':
        from build_hexagonal import build_hexmeanfield
        xy, NL, KL, BL, PVxydict, PVx, PVy, PV, LL, LVUC, LV, UC, BBox, lattice_exten = build_hexmeanfield(
            lp)
    elif lattice_type == 'hexmeanfield3gyro':
        from build_hexagonal import build_hexmeanfield3gyro
        xy, NL, KL, BL, PVxydict, PVx, PVy, PV, LL, LVUC, LV, UC, BBox, lattice_exten = build_hexmeanfield3gyro(
            lp)
    elif 'selregion' in lattice_type:
        # amorphregion_isocent or amorphregion_kagome_isocent, for ex
        # Example usage: python ./build/make_lattice.py -LT selregion_randorg_gammakick1p60_cent -spreadt 0.8 -NP 225
        #  python ./build/make_lattice.py -LT selregion_iscentroid -N 30
        #  python ./build/make_lattice.py -LT selregion_hyperuniform -N 80
        from lepm.build.build_select_region import build_select_region
        xy, NL, KL, BL, PVx, PVy, PVxydict, LVUC, BBox, LL, LV, UC, lattice_exten, lp = build_select_region(
            lp)
    elif lattice_type == 'frame1dhex':
        from build_hexagonal import build_frame1dhex
        # keep only the boundary of the lattice, eliminate the bulk
        xy, NL, KL, BL, PVxydict, PVx, PVy, LL, LVUC, LV, UC, BBox, lattice_exten = build_frame1dhex(
            lp)
    elif lattice_type == 'square':
        import lepm.build.build_square as bs
        print '\nCreating square lattice...'
        xy, NL, KL, BL, lattice_exten = bs.generate_square_lattice(
            shape, NH, NV, lp['eta'], lp['theta'])
        print 'lattice_exten = ', lattice_exten
        PVx = []
        PVy = []
        PVxydict = {}
        LL = (NH + 1, NV + 1)
        LVUC = 'none'
        UC = 'none'
        LV = 'none'
        BBox = np.array([[-LL[0] * 0.5, -LL[1] * 0.5],
                         [LL[0] * 0.5,
                          -LL[1] * 0.5], [LL[0] * 0.5, LL[1] * 0.5],
                         [-LL[0] * 0.5, LL[1] * 0.5]])
    elif lattice_type == 'triangular':
        import lepm.build.build_triangular as bt
        xy, NL, KL, BL, PVxydict, PVx, PVy, LL, LVUC, LV, UC, BBox, lattice_exten = bt.build_triangular_lattice(
            lp)
    elif lattice_type == 'linear':
        from lepm.build.build_linear_lattices import build_zigzag_lattice
        xy, NL, KL, BL, PVxydict, PVx, PVy, LL, LVUC, LV, UC, BBox, lattice_exten = build_zigzag_lattice(
            lp)
        lp['NV'] = 1
    elif lattice_type == 'deformed_kagome':
        from lepm.build.build_kagome import generate_deformed_kagome
        xy, NL, KL, BL, PVxydict, PVx, PVy, PV, LL, LVUC, LV, UC, BBox, lattice_exten = generate_deformed_kagome(
            lp)
    elif lattice_type == 'deformed_martini':
        from lepm.build.build_martini import build_deformed_martini
        xy, NL, KL, BL, PVxydict, PVx, PVy, LL, LVUC, LV, UC, BBox, lattice_exten = build_deformed_martini(
            lp)
    elif lattice_type == 'twisted_kagome':
        from lepm.build.build_kagome import build_twisted_kagome
        xy, NL, KL, BL, PVxydict, PVx, PVy, LL, LVUC, LV, UC, BBox, lattice_exten = build_twisted_kagome(
            lp)
    elif lattice_type == 'hyperuniform':
        from lepm.build.build_hyperuniform import build_hyperuniform
        xy, NL, KL, BL, PVxydict, PVx, PVy, LL, LVUC, LV, UC, BBox, lattice_exten = build_hyperuniform(
            lp)
    elif lattice_type == 'hyperuniform_annulus':
        from lepm.build.build_hyperuniform import build_hyperuniform_annulus
        xy, NL, KL, BL, PVxydict, PVx, PVy, LL, LVUC, LV, UC, BBox, lattice_exten = build_hyperuniform_annulus(
            lp)
        lp['shape'] = 'annulus'
    elif lattice_type == 'isostatic':
        from lepm.build.build_jammed import build_isostatic
        # Manually tune coordination of jammed packing (lets you tune through isostatic point)
        xy, NL, KL, BL, PVxydict, PVx, PVy, LL, LVUC, LV, UC, BBox, lattice_exten = build_isostatic(
            lp)
    elif lattice_type == 'jammed':
        from lepm.build.build_jammed import build_jammed
        xy, NL, KL, BL, PVxydict, PVx, PVy, LL, LVUC, LV, UC, BBox, lattice_exten = build_jammed(
            lp)
    elif lattice_type == 'triangularz':
        from lepm.build.build_triangular import build_triangularz
        xy, NL, KL, BL, PVxydict, PVx, PVy, LL, LVUC, LV, UC, BBox, lattice_exten = build_triangularz(
            lp)
    elif lattice_type == 'hucentroid':
        from lepm.build.build_hucentroid import build_hucentroid
        xy, NL, KL, BL, PVxydict, PVx, PVy, LL, LVUC, LV, UC, BBox, lattice_exten = build_hucentroid(
            lp)
    elif lattice_type == 'hucentroid_annulus':
        from lepm.build.build_hucentroid import build_hucentroid_annulus
        xy, NL, KL, BL, PVxydict, PVx, PVy, LL, LVUC, LV, UC, BBox, lattice_exten = build_hucentroid_annulus(
            lp)
        lp['shape'] = 'annulus'
    elif lattice_type == 'huvoronoi':
        from lepm.build.build_voronoized import build_huvoronoi
        xy, NL, KL, BL, PVx, PVy, PVxydict, LL, BBox, lattice_exten = build_huvoronoi(
            lp)
        LVUC = 'none'
        LV = 'none'
        UC = 'none'
    elif lattice_type == 'kagome_hucent':
        from lepm.build.build_hucentroid import build_kagome_hucent
        xy, NL, KL, BL, PVxydict, PVx, PVy, LL, LVUC, LV, UC, BBox, lattice_exten = build_kagome_hucent(
            lp)
    elif lattice_type == 'kagome_hucent_annulus':
        from lepm.build.build_hucentroid import build_kagome_hucent_annulus
        xy, NL, KL, BL, PVxydict, PVx, PVy, LL, LVUC, LV, UC, BBox, lattice_exten = build_kagome_hucent_annulus(
            lp)
        lp['shape'] = 'annulus'
    elif lattice_type == 'kagome_huvor':
        from lepm.build.build_voronoized import build_kagome_huvor
        print('Loading hyperuniform to build lattice...')
        xy, NL, KL, BL, PVx, PVy, PVxydict, LL, BBox, lattice_exten = build_kagome_huvor(
            lp)
        LV, LVUC, UC = 'none', 'none', 'none'
    elif lattice_type == 'iscentroid':
        from lepm.build.build_iscentroid import build_iscentroid
        print('Loading isostatic to build lattice...')
        xy, NL, KL, BL, PVx, PVy, PVxydict, LVUC, BBox, LL, LV, UC, lattice_exten = build_iscentroid(
            lp)
    elif lattice_type == 'kagome_isocent':
        from lepm.build.build_iscentroid import build_kagome_isocent
        xy, NL, KL, BL, PVx, PVy, PVxydict, LVUC, BBox, LL, LV, UC, lattice_exten = build_kagome_isocent(
            lp)
    elif lattice_type == 'overcoordinated1':
        from lepm.build.build_overcoordinated import generate_overcoordinated1_lattice
        xy, NL, KL, BL, SBL, LV, UC, LVUC, lattice_exten = generate_overcoordinated1_lattice(
            NH, NV)
        PVxydict = {}
        PVx = []
        PVy = []
        if lp['check']:
            le.display_lattice_2D(xy, BL)
    elif lattice_type == 'circlebonds':
        from lepm.build.build_linear_lattices import generate_circle_lattice
        xy, NL, KL, BL, LV, UC, LVUC, lattice_exten = generate_circle_lattice(
            NH)
        PVxydict = {}
        PVx = []
        PVy = []
        lp['NV'] = 1
        minx = np.min(xy[:, 0])
        maxx = np.max(xy[:, 0])
        miny = np.min(xy[:, 1])
        maxy = np.max(xy[:, 1])
        BBox = np.array([[minx, miny], [minx, maxy], [maxx, maxy],
                         [maxx, miny]])
        LL = (maxx - minx, maxy - miny)
    elif lattice_type == 'dislocatedRand':
        from lepm.build.build_dislocatedlattice import build_dislocated_lattice
        xy, NL, KL, BL, PVx, PVy, PVxydict, LL, BBox, lattice_exten = build_dislocated_lattice(
            lp)
    elif lattice_type == 'dislocated':
        if lp['dislocation_xy'] != 'none':
            dislocX = lp['dislocation_xy'].split('/')[0]
            dislocY = lp['dislocation_xy'].split('/')[1]
            dislocxy_exten = '_dislocxy_' + dislocX + '_' + dislocY
            pt = np.array([[float(dislocX), float(dislocY)]])
        else:
            pt = np.array([[0., 0.]])
            dislocxy_exten = ''
        if lp['Bvec'] == 'random':
            Bvecs = 'W'
        else:
            Bvecs = lp['Bvec']
        xy, NL, KL, BL, lattice_exten = generate_dislocated_hexagonal_lattice(
            shape, NH, NV, pt, Bvecs=Bvecs, check=lp['check'])
        lattice_exten += dislocxy_exten
        PVx = []
        PVy = []
        PVxydict = {}
        LL = (np.max(xy[:, 0]) - np.min(xy[:, 0]),
              np.max(xy[:, 1]) - np.min(xy[:, 1]))
        BBox = np.array([[np.min(xy[:, 0]), np.min(xy[:, 1])],
                         [np.max(xy[:, 0]), np.min(xy[:, 1])],
                         [np.max(xy[:, 0]), np.max(xy[:, 1])],
                         [np.min(xy[:, 0]), np.max(xy[:, 1])]])
        LV = 'none'
        UC = 'none'
        LVUC = 'none'
    elif lattice_type == 'penroserhombTri':
        if lp['periodicBC']:
            from lepm.build.build_quasicrystal import generate_periodic_penrose_rhombic
            xy, NL, KL, BL, PVxydict, BBox, PV, lattice_exten = generate_periodic_penrose_rhombic(
                lp)
            LL = (PV[0, 0], PV[1, 1])
            PVx, PVy = le.PVxydict2PVxPVy(PVxydict, NL)
        else:
            from lepm.build.build_quasicrystal import generate_penrose_rhombic_lattice
            xy, NL, KL, BL, lattice_exten, Num_sub = generate_penrose_rhombic_lattice(
                shape, NH, NV, check=lp['check'])
            LL = (np.max(xy[:, 0]) - np.min(xy[:, 0]),
                  np.max(xy[:, 1]) - np.min(xy[:, 1]))
            BBox = blf.auto_polygon(shape, NH, NV, eps=0.00)
            PVx = []
            PVy = []
            PVxydict = {}

        LVUC = 'none'
        LV = 'none'
        UC = 'none'
    elif lattice_type == 'penroserhombTricent':
        from lepm.build.build_quasicrystal import generate_penrose_rhombic_centroid_lattice
        xy, NL, KL, BL, PVxydict, PV, LL, BBox, lattice_exten = generate_penrose_rhombic_centroid_lattice(
            lp)
        # deepcopy PVxydict to generate new pointers
        PVxydict = copy.deepcopy(PVxydict)
        if lp['periodicBC']:
            PVx, PVy = le.PVxydict2PVxPVy(PVxydict, NL)
        else:
            PVx, PVy = [], []

        # Rescale so that median bond length is unity
        bL = le.bond_length_list(xy, BL, NL=NL, KL=KL, PVx=PVx, PVy=PVy)
        scale = 1. / np.median(bL)
        xy *= scale
        PV *= scale
        print 'PV = ', PV
        BBox *= scale
        LL = (LL[0] * scale, LL[1] * scale)

        print 'after updating other things: PVxydict = ', PVxydict
        if lp['periodicBC']:
            PVx *= scale
            PVy *= scale
            PVxydict.update(
                (key, val * scale) for key, val in PVxydict.items())
        else:
            PVx = []
            PVy = []

        LVUC = 'none'
        LV = 'none'
        UC = 'none'
    elif lattice_type == 'kagome_penroserhombTricent':
        from build.build_quasicrystal import generate_penrose_rhombic_centroid_lattice
        xy, NL, KL, BL, lattice_exten = generate_penrose_rhombic_centroid_lattice(
            shape, NH + 5, NV + 5, check=lp['check'])

        # Decorate lattice as kagome
        print('Decorating lattice as kagome...')
        xy, BL, PVxydict = blf.decorate_as_kagome(xy, BL)
        lattice_exten = 'kagome_' + lattice_exten

        xy, NL, KL, BL = blf.mask_with_polygon(shape,
                                               NH,
                                               NV,
                                               xy,
                                               BL,
                                               eps=0.00,
                                               check=False)

        # Rescale so that median bond length is unity
        bL = le.bond_length_list(xy, BL)
        xy *= 1. / np.median(bL)

        minx = np.min(xy[:, 0])
        miny = np.min(xy[:, 1])
        maxx = np.max(xy[:, 0])
        maxy = np.max(xy[:, 1])
        BBox = np.array([[minx, miny], [minx, maxy], [maxx, maxy],
                         [maxx, miny]])
        LL = (np.max(xy[:, 0]) - np.min(xy[:, 0]),
              np.max(xy[:, 1]) - np.min(xy[:, 1]))
        PVx = []
        PVy = []
        PVxydict = {}
        LVUC = 'none'
        LV = 'none'
        UC = 'none'
    elif lattice_type == 'random':
        xx = np.random.uniform(low=-NH * 0.5 - 10,
                               high=NH * 0.5 + 10,
                               size=(NH + 20) * (NV + 20))
        yy = np.random.uniform(low=-NV * 0.5 - 10,
                               high=NV * 0.5 + 10,
                               size=(NH + 20) * (NV + 20))
        xy = np.dstack((xx, yy))[0]
        Dtri = Delaunay(xy)
        TRI = Dtri.vertices
        BL = le.Tri2BL(TRI)
        NL, KL = le.BL2NLandKL(BL, NN='min')

        # Crop to polygon (instead of trimming boundaries)
        # NL, KL, BL, TRI = le.delaunay_cut_unnatural_boundary(xy, NL, KL, BL, TRI, thres=lp['trimbound_thres'])
        shapedict = {shape: [NH, NV]}
        keep = blf.argcrop_lattice_to_polygon(shapedict, xy, check=check)
        xy, NL, KL, BL = le.remove_pts(keep, xy, BL, NN='min')

        lattice_exten = lattice_type + '_square_thres' + sf.float2pstr(
            lp['trimbound_thres'])
        polygon = blf.auto_polygon(shape, NH, NV, eps=0.00)
        BBox = polygon
        LL = (np.max(BBox[:, 0]) - np.min(BBox[:, 0]),
              np.max(BBox[:, 1]) - np.min(BBox[:, 1]))
        PVx = []
        PVy = []
        PVxydict = {}
        LVUC = 'none'
        LV = 'none'
        UC = 'none'
    elif lattice_type == 'randomcent':
        from lepm.build.build_random import build_randomcent
        xy, NL, KL, BL, PVxydict, PVx, PVy, LL, LVUC, LV, UC, BBox, lattice_exten = build_randomcent(
            lp)
    elif lattice_type == 'kagome_randomcent':
        from lepm.build.build_random import build_kagome_randomcent
        xy, NL, KL, BL, PVxydict, PVx, PVy, LL, LVUC, LV, UC, BBox, lattice_exten = build_kagome_randomcent(
            lp)
    elif lattice_type == 'randomspreadcent':
        from lepm.build.build_randomspread import build_randomspreadcent
        xy, NL, KL, BL, PVxydict, PVx, PVy, LL, LVUC, LV, UC, BBox, lattice_exten = build_randomspreadcent(
            lp)
    elif lattice_type == 'kagome_randomspread':
        from lepm.build.build_randomspread import build_kagome_randomspread
        xy, NL, KL, BL, PVxydict, PVx, PVy, LL, LVUC, LV, UC, BBox, lattice_exten = build_kagome_randomspread(
            lp)
    elif 'randorg_gammakick' in lattice_type and 'kaghi' not in lattice_type:
        # lattice_type is like 'randorg_gamma0p20_cent' and uses Hexner pointsets
        # NH is width, NV is height, NP_load is total number of points. This is different than other conventions.
        from build_randorg_gamma import build_randorg_gamma_spread
        xy, NL, KL, BL, PVxydict, PVx, PVy, LL, LVUC, LV, UC, BBox, lattice_exten = build_randorg_gamma_spread(
            lp)
    elif 'randorg_gamma' in lattice_type and 'kaghi' not in lattice_type:
        # lattice_type is like 'randorg_gamma0p20_cent' and uses Hexner pointsets
        from build_randorg_gamma import build_randorg_gamma_spread_hexner
        xy, NL, KL, BL, PVxydict, PVx, PVy, LL, LVUC, LV, UC, BBox, lattice_exten = \
            build_randorg_gamma_spread_hexner(lp)
    elif 'random_organization' in lattice_type:
        try:
            if isinstance(lp['relax_timesteps'], str):
                relax_tag = lp['relax_timesteps']
            else:
                relax_tag = '{0:02d}'.format(lp['relax_timesteps'])
        except:
            raise RuntimeError(
                'lattice parameters dictionary lp needs key relax_timesteps')

        points = np.loadtxt(
            networkdir +
            'random_organization_source/random_organization/random/' +
            'random_kick_' + relax_tag + 'relax/out_d' +
            '{0:02d}'.format(int(lp['conf'])) + '_xy.txt')
        points -= np.mean(points, axis=0)
        xytmp, trash1, trash2, trash3 = blf.mask_with_polygon(shape,
                                                              NH,
                                                              NV,
                                                              points, [],
                                                              eps=0.00)

        xy, NL, KL, BL = le.delaunay_centroid_lattice_from_pts(xytmp,
                                                               polygon='auto',
                                                               check=check)
        polygon = blf.auto_polygon(shape, NH, NV, eps=0.00)

        if check:
            le.display_lattice_2D(xy, BL)

        # Rescale so that median bond length is unity
        bL = le.bond_length_list(xy, BL, NL=NL, KL=KL, PVx=PVx, PVy=PVy)
        xy *= 1. / np.median(bL)
        polygon *= 1. / np.median(bL)

        lattice_exten = lattice_type + '_relax' + relax_tag + '_' + shape + '_d' + \
                        '{0:02d}'.format(int(lp['loadlattice_number']))
        LL = (np.max(xy[:, 0]) - np.min(xy[:, 0]),
              np.max(xy[:, 1]) - np.min(xy[:, 1]))
        PVxydict = {}
        PVx = []
        PVy = []
        BBox = polygon
    elif lattice_type == 'flattenedhexagonal':
        from lepm.build.build_hexagonal import generate_flattened_honeycomb_lattice
        xy, NL, KL, BL, LVUC, LV, UC, PVxydict, PVx, PVy, lattice_exten = \
            generate_flattened_honeycomb_lattice(shape, NH, NV, lp['aratio'], lp['delta'], lp['phi'], eta=0., rot=0.,
                                                 periodicBC=False, check=check)
    elif lattice_type == 'cairo':
        from lepm.build.build_cairo import build_cairo
        xy, NL, KL, BL, PVxydict, PVx, PVy, LL, LVUC, LV, UC, BBox, lattice_exten = build_cairo(
            lp)
    elif lattice_type == 'kagper_hucent':
        from lepm.build.build_hucentroid import build_kagper_hucent
        xy, NL, KL, BL, PVx, PVy, PVxydict, LVUC, BBox, LL, LV, UC, lattice_exten, lp = build_kagper_hucent(
            lp)
    elif lattice_type == 'hex_kagframe':
        from lepm.build.build_kagcentframe import build_hex_kagframe
        # Use lp['alph'] to determine the beginning of the kagomized frame, surrounding hexagonal lattice
        xy, NL, KL, BL, PVx, PVy, PVxydict, LVUC, BBox, LL, LV, UC, lattice_exten, lp = build_hex_kagframe(
            lp)
    elif lattice_type == 'hex_kagcframe':
        from lepm.build.build_kagcentframe import build_hex_kagcframe
        # Use lp['alph'] to determine the beginning of the kagomized frame, surrounding hexagonal lattice
        # as circlular annulus
        xy, NL, KL, BL, PVx, PVy, PVxydict, LVUC, BBox, LL, LV, UC, lattice_exten, lp = build_hex_kagcframe(
            lp)
    elif lattice_type in ['hucent_kagframe', 'hucent_kagcframe']:
        from lepm.build.build_kagcentframe import build_hucent_kagframe
        # Use lp['alph'] to determine the beginning of the kagomized frame, surrounding hucentroid decoration
        xy, NL, KL, BL, PVx, PVy, PVxydict, LVUC, BBox, LL, LV, UC, lattice_exten, lp = build_hucent_kagframe(
            lp)
    elif lattice_type == 'kaghu_centframe':
        from lepm.build.build_kagcentframe import build_kaghu_centframe
        # Use lp['alph'] to determine the beginning of the centroid frame, surrounding kagomized decoration
        xy, NL, KL, BL, PVx, PVy, PVxydict, LVUC, BBox, LL, LV, UC, lattice_exten, lp = build_kaghu_centframe(
            lp)
    elif lattice_type in ['isocent_kagframe', 'isocent_kagcframe']:
        from lepm.build.build_kagcentframe import build_isocent_kagframe
        # Use lp['alph'] to determine the beginning of the kagomized frame, surrounding hucentroid decoration
        xy, NL, KL, BL, PVx, PVy, PVxydict, LVUC, BBox, LL, LV, UC, lattice_exten, lp = build_isocent_kagframe(
            lp)
    elif lattice_type == 'kagsplit_hex':
        from lepm.build.build_kagome import build_kagsplit_hex
        # Use lp['alph'] to determine what fraction (on the right) is kagomized
        xy, NL, KL, BL, PVx, PVy, PVxydict, LVUC, BBox, LL, LV, UC, lattice_exten, lp = build_kagsplit_hex(
            lp)
    elif lattice_type == 'kagper_hex':
        from lepm.build.build_kagome import build_kagper_hex
        # Use lp['alph'] to determine what fraction of the radius/width (in the center) is kagomized
        xy, NL, KL, BL, PVx, PVy, PVxydict, LVUC, BBox, LL, LV, UC, lattice_exten, lp = build_kagper_hex(
            lp)
    elif lattice_type == 'hex_kagperframe':
        from lepm.build.build_kagcentframe import build_hex_kagperframe
        # Use lp['alph'] to determine what fraction of the radius/width (in the center) is partially kagomized
        xy, NL, KL, BL, PVx, PVy, PVxydict, LVUC, BBox, LL, LV, UC, lattice_exten, lp = build_hex_kagperframe(
            lp)
    elif lattice_type == 'kagome':
        from lepm.build.build_kagome import build_kagome
        # lets you make a square kagome
        xy, NL, KL, BL, PVx, PVy, PVxydict, PV, LVUC, BBox, LL, LV, UC, lattice_exten, lp = build_kagome(
            lp)
    elif 'uofc' in lattice_type:
        from lepm.build.build_kagcent_words import build_uofc
        # ['uofc_hucent', 'uofc_kaglow_hucent', 'uofc_kaghi_hucent', 'uofc_kaglow_isocent']:
        xy, NL, KL, BL, PVx, PVy, PVxydict, LVUC, BBox, LL, LV, UC, lattice_exten, lp = build_uofc(
            lp)
    elif 'chicago' in lattice_type:
        from lepm.build.build_kagcent_words import build_chicago
        xy, NL, KL, BL, PVx, PVy, PVxydict, LVUC, BBox, LL, LV, UC, lattice_exten, lp = build_chicago(
            lp)
    elif 'chern' in lattice_type:
        from lepm.build.build_kagcent_words import build_kagcentchern
        xy, NL, KL, BL, PVx, PVy, PVxydict, LVUC, BBox, LL, LV, UC, lattice_exten, lp = build_kagcentchern(
            lp)
    elif 'csmf' in lattice_type:
        from lepm.build.build_kagcent_words import build_kagcentcsmf
        xy, NL, KL, BL, PVx, PVy, PVxydict, LVUC, BBox, LL, LV, UC, lattice_exten, lp = build_kagcentcsmf(
            lp)
    elif 'thanks' in lattice_type:
        # example:
        # python ./build/make_lattice.py -LT kaghi_isocent_thanks -skip_gyroDOS -NH 300 -NV 70 -thres 5.5 -skip_polygons
        from lepm.build.build_kagcent_words import build_kagcentthanks
        xy, NL, KL, BL, PVx, PVy, PVxydict, LVUC, BBox, LL, LV, UC, lattice_exten, lp = build_kagcentthanks(
            lp)
    elif 'curvys' in lattice_type:
        # for lattice_type in ['kaghi_isocent_curvys', 'kaglow_isocent_curvys',
        #                      'kaghi_hucent_curvys', 'kaglow_hucent_curvys', kaghi_randorg_gammakick1p60_cent_curvys',
        #                      'kaghi_randorg_gammakick0p50_cent_curvys', ... ]
        # example usage:
        # python ./build/make_lattice.py -LT kaghi_isocent_curvys -NH 100 -NV 70 -thres 5.5 -skip_polygons -skip_gyroDOS
        from lepm.build.build_kagcent_words import build_kagcentcurvys
        xy, NL, KL, BL, PVx, PVy, PVxydict, LVUC, BBox, LL, LV, UC, lattice_exten, lp = build_kagcentcurvys(
            lp)
    elif 'hexannulus' in lattice_type:
        from lepm.build.build_conformal import build_hexannulus
        xy, NL, KL, BL, lattice_exten, lp = build_hexannulus(lp)
        LL = (np.max(xy[:, 0]) - np.min(xy[:, 0]),
              np.max(xy[:, 1]) - np.min(xy[:, 1]))
        PVxydict = {}
        PVx = []
        PVy = []
        UC = np.array([0, 0])
        LV = 'none'
        LVUC = 'none'
        minx = np.min(xy[:, 0])
        miny = np.min(xy[:, 1])
        maxx = np.max(xy[:, 0])
        maxy = np.max(xy[:, 1])
        BBox = np.array([[minx, miny], [minx, maxy], [maxx, maxy],
                         [maxx, miny]])
    elif 'accordion' in lattice_type:
        # accordionhex accordiony accordionkagy
        # Example usage:
        # python ./build/make_lattice.py -LT accordionkag -alph 0.9 -intparam 2 -N 6 -skip_polygons -skip_gyroDOS
        # nzag controlled by lp['intparam'], and the rotation of the kagome element is controlled by lp['alph']
        if lattice_type == 'accordionhex':
            from lepm.build.build_hexagonal import build_accordionhex
            xy, NL, KL, BL, PVx, PVy, PVxydict, LVUC, BBox, LL, LV, UC, lattice_exten, lp, xyvx = build_accordionhex(
                lp)
        elif lattice_type == 'accordionkag':
            from lepm.build.build_kagome import build_accordionkag
            xy, NL, KL, BL, PVx, PVy, PVxydict, PV, LVUC, BBox, LL, LV, UC, lattice_exten, lp = build_accordionkag(
                lp)
        elif lattice_type == 'accordionkag_hucent':
            from lepm.build.build_hucentroid import build_accordionkag_hucent
            xy, NL, KL, BL, PVxydict, PVx, PVy, LL, LVUC, LV, UC, BBox, lattice_exten = \
                build_accordionkag_hucent(lp)
        elif lattice_type == 'accordionkag_isocent':
            from lepm.build.build_iscentroid import build_accordionkag_isocent
            xy, NL, KL, BL, PVxydict, PVx, PVy, LL, LVUC, LV, UC, BBox, lattice_exten = \
                build_accordionkag_isocent(lp)
    elif 'spindle' in lattice_type:
        if lattice_type == 'spindle':
            from lepm.build.build_spindle import build_spindle
            xy, NL, KL, BL, PVxydict, PVx, PVy, PV, LL, LVUC, LV, UC, BBox, lattice_exten = build_spindle(
                lp)
    elif lattice_type == 'stackedrhombic':
        from lepm.build.build_rhombic import build_stacked_rhombic
        xy, NL, KL, BL, PVxydict, PVx, PVy, PV, LL, LVUC, LV, UC, BBox, lattice_exten = build_stacked_rhombic(
            lp)
    elif 'junction' in lattice_type:
        # accordionhex accordiony accordionkagy
        if lattice_type == 'hexjunction':
            from lepm.build.build_hexagonal import build_hexjunction
            xy, NL, KL, BL, PVx, PVy, PVxydict, LVUC, BBox, LL, LV, UC, lattice_exten, lp, xyvx = build_hexjunction(
                lp)
        elif lattice_type == 'kagjunction':
            from lepm.build.build_kagome import build_kagjunction
            xy, NL, KL, BL, PVx, PVy, PVxydict, LVUC, BBox, LL, LV, UC, lattice_exten, lp = build_kagjunction(
                lp)

    ###########

    # For reference: this is how to change z
    # le.cut_bonds_z(BL,lp['target_z'])
    # ##cut N bonds for z
    # N2cut = int(round((z_start-target_z)*len(BL)/z_start))
    # allrows = range(len(BL))
    # inds = random.sample(allrows, N2cut)
    # keep = np.setdiff1d(allrows,inds)
    # bnd_z = BL[keep]

    # Cut slit
    if lp['make_slit']:
        print('Cuting notch or slit...')
        L = max(xy[:, 0]) - min(xy[:, 0])
        cutL = L * lp['cutLfrac']
        x0 = -L * 0. + cutL * 0.5 - 1.  # 0.25*L+0.5
        BL, xy = blf.cut_slit(BL, xy, cutL + 1e-3, x0, y0=0.2)
        slit_exten = '_cutL' + str(cutL / L) + 'L_x0_' + str(x0)

        print('Rebuilding NL,KL...')
        NP = len(xy)
        if latticetop == 'deformed_kagome':
            nn = 4
        elif lattice_type == 'linear':
            if NP == 1:
                nn = 0
            else:
                nn = 2
        else:
            nn = 'min'

        NL, KL = le.BL2NLandKL(BL, NP=NP, NN=nn)

        # remake BL too
        BL = le.NL2BL(NL, KL)
    else:
        slit_exten = ''
        NP = len(xy)

    if lp['check']:
        print 'make_lattice: Showing lattice before saving...'
        # print 'PVx = ', PVx
        # print 'PVy = ', PVy
        le.display_lattice_2D(xy, BL, PVxydict=PVxydict)
    ################

    lattice.xy = xy
    lattice.NL = NL
    lattice.KL = KL
    lattice.BL = BL
    lattice.PVx = PVx
    lattice.PVy = PVy
    lattice.PVxydict = PVxydict
    lattice.LVUC = LVUC
    lattice.lp = lp
    lattice.lp['BBox'] = BBox
    lattice.lp['LL'] = LL
    lattice.lp['LV'] = LV
    lattice.lp['UC'] = UC
    lattice.lp['lattice_exten'] = lattice_exten
    lattice.lp['slit_exten'] = slit_exten
    lattice.lp['Nparticles'] = NP
    return lattice
示例#6
0
def build_kagome_huvor(lp):
    """Construct a kagomized network from hyperuniform point set and voronoize it with Wigner-Seitz

    Parameters
    ----------
    lp : dict
        Lattice parameters dictionary, with keys:
        rootdir, conf, origin, shape, NH, NV, check, NP_load (if periodic)
    """
    if lp['NP_load'] == 0:
        points = np.loadtxt(
            dio.prepdir(lp['rootdir']) +
            'networks/hyperuniform_source/hyperuniform_N400/out_d' +
            str(int(lp['conf'])) + '_xy.txt')
        points -= np.mean(points, axis=0) + lp['origin']
        addpc = .05
        xytmp, trash1, trash2, trash3 = \
            blf.mask_with_polygon(lp['shape'], lp['NH'] + 7, lp['NV'] + 7, points, [], eps=addpc)
        polygon = blf.auto_polygon(lp['shape'], lp['NH'], lp['NV'], eps=0.00)

        xy, NL, KL, BL = blf.kagomevoronoi_network_from_pts(xytmp,
                                                            polygon=polygon,
                                                            kill_outliers=True,
                                                            check=lp['check'])

        LL = (np.max(xy[:, 0]) - np.min(xy[:, 0]),
              np.max(xy[:, 1]) - np.min(xy[:, 1]))
        PVxydict, PVx, PVy = {}, [], []
        BBox = polygon
        if lp['check']:
            le.display_lattice_2D(
                xy,
                BL,
                NL=NL,
                KL=KL,
                title='Cropped centroid lattice, before dilation')

        # make string from origin values
        print 'lp[origin] = ', lp['origin']
        print 'type(lp[origin]) = ', type(lp['origin'])
        if (np.abs(lp['origin']) < 1e-7).all():
            originstr = ''
        else:
            originstr = '_originX' + '{0:0.2f}'.format(lp['origin'][0]).replace('.', 'p') + \
                        'Y' + '{0:0.2f}'.format(lp['origin'][1]).replace('.', 'p')
        periodicBCstr = ''
    else:
        # Ensuring that origin param is centered (since using entire lattice)
        lp['origin'] = np.array([0.0, 0.0])
        LL = (lp['NP_load'], lp['NP_load'])
        polygon = 0.5 * np.array([[-LL[0], -LL[1]], [LL[0], -LL[1]],
                                  [LL[0], LL[1]], [-LL[0], LL[1]]])
        BBox = polygon

        lp['periodicBC'] = True
        sizestr = '{0:03d}'.format(lp['NP_load'])
        points = np.loadtxt(
            dio.prepdir(lp['rootdir']) +
            'networks/hyperuniform_source/hyperuniform_N' + sizestr +
            '/out_d' + str(int(lp['conf'])) + '_xy.txt')
        points -= np.mean(points, axis=0)
        xy, NL, KL, BL, PVxydict = blf.kagomevoronoi_periodic_network_from_pts(
            points, LL, BBox=BBox, check=lp['check'])
        PVx, PVy = le.PVxydict2PVxPVy(PVxydict, NL)
        originstr = ''
        periodicBCstr = '_periodic'

    # Rescale so that median bond length is unity
    bL = le.bond_length_list(xy, BL, NL=NL, KL=KL, PVx=PVx, PVy=PVy)
    scale = 1. / np.median(bL)
    xy *= scale
    polygon *= scale
    BBox *= scale
    LL = (LL[0] * scale, LL[1] * scale)
    if lp['periodicBC']:
        PVx *= scale
        PVy *= scale
        PVxydict.update((key, val * scale) for key, val in PVxydict.items())

    lattice_exten = 'kagome_huvor_' + lp[
        'shape'] + periodicBCstr + '_d{0:02d}'.format(int(
            lp['conf'])) + originstr
    return xy, NL, KL, BL, PVx, PVy, PVxydict, LL, BBox, lattice_exten
示例#7
0
def build_accordionkag_hucent(lp):
    """Create an accordion-bonded kagomized amorphous network from a loaded hyperuniform point set.

    Parameters
    ----------
    lp

    Returns
    -------

    """
    print('Loading hyperuniform to build lattice...')
    networkdir = lp['rootdir'] + 'networks/'
    shape = lp['shape']
    NH = lp['NH']
    NV = lp['NV']
    check = lp['check']
    if lp['NP_load'] == 0:
        points = np.loadtxt(networkdir +
                            'hyperuniform_source/hyperuniform_N400/out_d' +
                            str(int(lp['conf'])) + '_xy.txt')
        points -= np.mean(points, axis=0) + lp['origin']
        addpc = .05
        xytmp, trash1, trash2, trash3 = blf.mask_with_polygon(shape,
                                                              NH + 4,
                                                              NV + 4,
                                                              points, [],
                                                              eps=addpc)
        polygon = blf.auto_polygon(shape, NH, NV, eps=0.00)

        xy, NL, KL, BL = le.delaunay_centroid_lattice_from_pts(
            xytmp, polygon=polygon, trimbound=False)  # check=check)
        #################################################################
        # nzag controlled by lp['intparam'] below
        xyacc, BLacc, LVUC, UC, xyvertices, lattice_exten_add = \
            blf.accordionize_network(xy, BL, lp, PVxydict=None, PVx=None, PVy=None, PV=None)

        print 'BL = ', BL

        # need indices of xy that correspond to xyvertices
        # note that xyvertices gives the positions of the vertices, not their indices
        inRx = np.in1d(xyacc[:, 0], xyvertices[:, 0])
        inRy = np.in1d(xyacc[:, 1], xyvertices[:, 1])
        vxind = np.where(np.logical_and(inRx, inRy))[0]
        print 'vxind = ', vxind

        # Note: beware, do not provide NL and KL to decorate_bondneighbors_elements() since NL,KL need
        # to be recalculated
        xy, BL = blf.decorate_bondneighbors_elements(xyacc,
                                                     BLacc,
                                                     vxind,
                                                     PVxydict=None,
                                                     viewmethod=False,
                                                     check=lp['check'])
        NL, KL = le.BL2NLandKL(BL, NP=len(xy))

        #################################################################
        polygon = blf.auto_polygon(shape, NH, NV, eps=0.00)

        if check:
            le.display_lattice_2D(
                xy,
                BL,
                NL=NL,
                KL=KL,
                title='Cropped centroid lattice, before dilation')

        # Form output bounding box and extent measurement
        LL = (np.max(xy[:, 0]) - np.min(xy[:, 0]),
              np.max(xy[:, 1]) - np.min(xy[:, 1]))
        PVxydict = {}
        PVx = []
        PVy = []
        BBox = polygon

        # make string from origin values
        print 'lp[origin] = ', lp['origin']
        print 'type(lp[origin]) = ', type(lp['origin'])
        if (np.abs(lp['origin']) < 1e-7).all():
            originstr = ''
        else:
            originstr = '_originX' + '{0:0.2f}'.format(lp['origin'][0]).replace('.', 'p') + \
                        'Y' + '{0:0.2f}'.format(lp['origin'][1]).replace('.', 'p')
        periodicBCstr = ''
    else:
        # Ensuring that origin param is centered (since using entire lattice)
        lp['origin'] = np.array([0.0, 0.0])
        LL = (lp['NP_load'], lp['NP_load'])
        polygon = 0.5 * np.array([[-LL[0], -LL[1]], [LL[0], -LL[1]],
                                  [LL[0], LL[1]], [-LL[0], LL[1]]])
        BBox = polygon

        lp['periodicBC'] = True
        sizestr = '{0:03d}'.format(lp['NP_load'])
        points = np.loadtxt(networkdir + 'hyperuniform_source/hyperuniform_N' + sizestr + '/out_d' + \
                            str(int(lp['conf'])) + '_xy.txt')
        points -= np.mean(points, axis=0)
        xy, NL, KL, BL, PVxydict = blf.kagomecentroid_periodic_network_from_pts(
            points, LL, BBox=BBox, check=lp['check'])
        PVx, PVy = le.PVxydict2PVxPVy(PVxydict, NL)
        originstr = ''
        periodicBCstr = '_periodic'

    # Rescale so that median bond length is unity
    bL = le.bond_length_list(xy, BL, NL=NL, KL=KL, PVx=PVx, PVy=PVy)
    scale = 1. / np.median(bL)
    xy *= scale
    polygon *= scale
    BBox *= scale
    LL = (LL[0] * scale, LL[1] * scale)
    if lp['periodicBC']:
        PVx *= scale
        PVy *= scale
        PVxydict.update((key, val * scale) for key, val in PVxydict.items())

    lattice_exten = 'accordionkag_hucent_' + shape + periodicBCstr + '_d{0:02d}'.format(int(lp['conf'])) + originstr + \
                    lattice_exten_add
    LV = 'none'
    LVUC = 'none'
    UC = 'none'
    return xy, NL, KL, BL, PVxydict, PVx, PVy, LL, LVUC, LV, UC, BBox, lattice_exten
示例#8
0
def build_kagome_hucent(lp):
    print('Loading hyperuniform to build lattice...')
    networkdir = lp['rootdir'] + 'networks/'
    shape = lp['shape']
    NH = lp['NH']
    NV = lp['NV']
    check = lp['check']
    if lp['NP_load'] == 0:
        points = np.loadtxt(networkdir +
                            'hyperuniform_source/hyperuniform_N400/out_d' +
                            str(int(lp['conf'])) + '_xy.txt')
        points -= np.mean(points, axis=0) + lp['origin']
        addpc = .05
        xytmp, trash1, trash2, trash3 = blf.mask_with_polygon(shape,
                                                              NH + 4,
                                                              NV + 4,
                                                              points, [],
                                                              eps=addpc)
        polygon = blf.auto_polygon(shape, NH, NV, eps=0.00)

        xy, NL, KL, BL = blf.kagomecentroid_lattice_from_pts(xytmp,
                                                             polygon=polygon,
                                                             trimbound=False,
                                                             check=check)

        polygon = blf.auto_polygon(shape, NH, NV, eps=0.00)

        if check:
            le.display_lattice_2D(
                xy,
                BL,
                NL=NL,
                KL=KL,
                title='Cropped centroid lattice, before dilation')

        # Form output bounding box and extent measurement
        LL = (np.max(xy[:, 0]) - np.min(xy[:, 0]),
              np.max(xy[:, 1]) - np.min(xy[:, 1]))
        PVxydict = {}
        PVx = []
        PVy = []
        BBox = polygon

        # make string from origin values
        print 'lp[origin] = ', lp['origin']
        print 'type(lp[origin]) = ', type(lp['origin'])
        if (np.abs(lp['origin']) < 1e-7).all():
            originstr = ''
        else:
            originstr = '_originX' + '{0:0.2f}'.format(lp['origin'][0]).replace('.', 'p') + \
                        'Y' + '{0:0.2f}'.format(lp['origin'][1]).replace('.', 'p')
        periodicBCstr = ''
    else:
        # Ensuring that origin param is centered (since using entire lattice)
        lp['origin'] = np.array([0.0, 0.0])
        LL = (lp['NP_load'], lp['NP_load'])
        polygon = 0.5 * np.array([[-LL[0], -LL[1]], [LL[0], -LL[1]],
                                  [LL[0], LL[1]], [-LL[0], LL[1]]])
        BBox = polygon

        lp['periodicBC'] = True
        sizestr = '{0:03d}'.format(lp['NP_load'])
        points = np.loadtxt(networkdir + 'hyperuniform_source/hyperuniform_N' + sizestr + '/out_d' + \
                            str(int(lp['conf'])) + '_xy.txt')
        points -= np.mean(points, axis=0)
        xy, NL, KL, BL, PVxydict = blf.kagomecentroid_periodic_network_from_pts(
            points, LL, BBox=BBox, check=lp['check'])
        PVx, PVy = le.PVxydict2PVxPVy(PVxydict, NL)
        originstr = ''
        periodicBCstr = '_periodic'

    # Rescale so that median bond length is unity
    bL = le.bond_length_list(xy, BL, NL=NL, KL=KL, PVx=PVx, PVy=PVy)
    scale = 1. / np.median(bL)
    xy *= scale
    polygon *= scale
    BBox *= scale
    LL = (LL[0] * scale, LL[1] * scale)
    if lp['periodicBC']:
        PVx *= scale
        PVy *= scale
        PVxydict.update((key, val * scale) for key, val in PVxydict.items())

    lattice_exten = 'kagome_hucent_' + shape + periodicBCstr + '_d{0:02d}'.format(
        int(lp['conf'])) + originstr
    LV = 'none'
    LVUC = 'none'
    UC = 'none'
    return xy, NL, KL, BL, PVxydict, PVx, PVy, LL, LVUC, LV, UC, BBox, lattice_exten