test_plotter.py 6.14 KB
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# Copyright 2011-2013 Kwant authors.
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#
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# This file is part of Kwant.  It is subject to the license terms in the file
# LICENSE.rst found in the top-level directory of this distribution and at
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# http://kwant-project.org/license.  A list of Kwant authors can be found in
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# the file AUTHORS.rst at the top-level directory of this distribution and at
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# http://kwant-project.org/authors.

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import tempfile
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import warnings
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import nose
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import numpy as np
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import kwant
from kwant import plotter
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from nose.tools import assert_raises
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if plotter.mpl_enabled:
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    from mpl_toolkits import mplot3d
    from matplotlib import pyplot


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def test_importable_without_matplotlib():
    prefix, sep, suffix = plotter.__file__.rpartition('.')
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    if suffix in ['pyc', 'pyo']:
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        suffix = 'py'
    assert suffix == 'py'
    fname = sep.join((prefix, suffix))
    with open(fname) as f:
        code = f.read()
    code = code.replace('from . import', 'from kwant import')
    code = code.replace('matplotlib', 'totalblimp')
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    with warnings.catch_warnings(record=True) as w:
        warnings.simplefilter("always")
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        exec(code)               # Trigger the warning.
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        nose.tools.assert_equal(len(w), 1)
        assert issubclass(w[0].category, RuntimeWarning)
        assert "only iterator-providing functions" in str(w[0].message)
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def sys_2d(W=3, r1=3, r2=8):
    a = 1
    t = 1.0
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    lat = kwant.lattice.square(a)
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    sys = kwant.Builder()

    def ring(pos):
        (x, y) = pos
        rsq = x ** 2 + y ** 2
        return r1 ** 2 < rsq < r2 ** 2

    sys[lat.shape(ring, (0, r1 + 1))] = 4 * t
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    sys[lat.neighbors()] = -t
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    sym_lead0 = kwant.TranslationalSymmetry(lat.vec((-1, 0)))
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    lead0 = kwant.Builder(sym_lead0)
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    lead2 = kwant.Builder(sym_lead0)
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    lead_shape = lambda pos: (-W / 2 < pos[1] < W / 2)
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    lead0[lat.shape(lead_shape, (0, 0))] = 4 * t
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    lead2[lat.shape(lead_shape, (0, 0))] = 4 * t
    sys.attach_lead(lead2)
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    lead0[lat.neighbors()] = - t
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    lead1 = lead0.reversed()
    sys.attach_lead(lead0)
    sys.attach_lead(lead1)
    return sys


def sys_3d(W=3, r1=2, r2=4, a=1, t=1.0):
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    lat = kwant.lattice.general(((a, 0, 0), (0, a, 0), (0, 0, a)))
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    sys = kwant.Builder()

    def ring(pos):
        (x, y, z) = pos
        rsq = x ** 2 + y ** 2
        return (r1 ** 2 < rsq < r2 ** 2) and abs(z) < 2
    sys[lat.shape(ring, (0, -r2 + 1, 0))] = 4 * t
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    sys[lat.neighbors()] = - t
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    sym_lead0 = kwant.TranslationalSymmetry(lat.vec((-1, 0, 0)))
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    lead0 = kwant.Builder(sym_lead0)

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    lead_shape = lambda pos: (-W / 2 < pos[1] < W / 2) and abs(pos[2]) < 2
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    lead0[lat.shape(lead_shape, (0, 0, 0))] = 4 * t
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    lead0[lat.neighbors()] = - t
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    lead1 = lead0.reversed()
    sys.attach_lead(lead0)
    sys.attach_lead(lead1)
    return sys
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def test_plot():
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    plot = plotter.plot
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    if not plotter.mpl_enabled:
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        raise nose.SkipTest
    sys2d = sys_2d()
    sys3d = sys_3d()
    color_opts = ['k', (lambda site: site.tag[0]),
                  lambda site: (abs(site.tag[0] / 100),
                                abs(site.tag[1] / 100), 0)]
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    with tempfile.TemporaryFile('w+b') as out:
        for color in color_opts:
            for sys in (sys2d, sys3d):
                fig = plot(sys, site_color=color, cmap='binary', file=out)
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                if (color != 'k' and
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                    isinstance(color(next(iter(sys2d.sites()))), float)):
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                    assert fig.axes[0].collections[0].get_array() is not None
                assert len(fig.axes[0].collections) == (8 if sys is sys2d else
                                                        6)
        color_opts = ['k', (lambda site, site2: site.tag[0]),
                      lambda site, site2: (abs(site.tag[0] / 100),
                                           abs(site.tag[1] / 100), 0)]
        for color in color_opts:
            for sys in (sys2d, sys3d):
                fig = plot(sys2d, hop_color=color, cmap='binary', file=out,
                           fig_size=(2, 10), dpi=30)
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                if color != 'k' and isinstance(color(next(iter(sys2d.sites())),
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                                                          None), float):
                    assert fig.axes[0].collections[1].get_array() is not None

        assert isinstance(plot(sys3d, file=out).axes[0], mplot3d.axes3d.Axes3D)

        sys2d.leads = []
        plot(sys2d, file=out)
        del sys2d[list(sys2d.hoppings())]
        plot(sys2d, file=out)

        plot(sys3d, file=out)
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        with warnings.catch_warnings():
            warnings.simplefilter("ignore")
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            plot(sys2d.finalized(), file=out)
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def good_transform(pos):
    x, y = pos
    return y, x

def bad_transform(pos):
    x, y = pos
    return x, y, 0
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def test_map():
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    if not plotter.mpl_enabled:
        raise nose.SkipTest
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    sys = sys_2d()
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    with tempfile.TemporaryFile('w+b') as out:
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        plotter.map(sys, lambda site: site.tag[0], pos_transform=good_transform,
                    file=out, method='linear', a=4, oversampling=4, cmap='flag')
        nose.tools.assert_raises(ValueError, plotter.map, sys,
                                 lambda site: site.tag[0],
                                 pos_transform=bad_transform, file=out)
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        with warnings.catch_warnings():
            warnings.simplefilter("ignore")
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            plotter.map(sys.finalized(), range(len(sys.sites())),
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                              file=out)
        nose.tools.assert_raises(ValueError, plotter.map, sys,
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                                 range(len(sys.sites())), file=out)
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def test_mask_interpolate():
    # A coordinate array with coordinates of two points almost coinciding.
    coords = np.random.rand(10, 2)
    coords[5] *= 1e-8
    coords[5] += coords[0]
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    warnings.simplefilter("ignore")
    with warnings.catch_warnings(record=True) as w:
        warnings.simplefilter("always")
        plotter.mask_interpolate(coords, np.ones(len(coords)), a=1)
        assert len(w) == 1
        assert issubclass(w[-1].category, RuntimeWarning)
        assert "coinciding" in str(w[-1].message)

    assert_raises(ValueError, plotter.mask_interpolate,
                  coords, np.ones(len(coords)))
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    assert_raises(ValueError, plotter.mask_interpolate,
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                  coords, np.ones(2 * len(coords)))