305 lines
8.5 KiB
Python
305 lines
8.5 KiB
Python
from io import BytesIO
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import ast
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import pickle
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import pickletools
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import numpy as np
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import pytest
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import matplotlib as mpl
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from matplotlib import cm
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from matplotlib.testing import subprocess_run_helper
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from matplotlib.testing.decorators import check_figures_equal
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from matplotlib.dates import rrulewrapper
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from matplotlib.lines import VertexSelector
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import matplotlib.pyplot as plt
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import matplotlib.transforms as mtransforms
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import matplotlib.figure as mfigure
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from mpl_toolkits.axes_grid1 import axes_divider, parasite_axes # type: ignore
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def test_simple():
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fig = plt.figure()
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pickle.dump(fig, BytesIO(), pickle.HIGHEST_PROTOCOL)
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ax = plt.subplot(121)
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pickle.dump(ax, BytesIO(), pickle.HIGHEST_PROTOCOL)
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ax = plt.axes(projection='polar')
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plt.plot(np.arange(10), label='foobar')
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plt.legend()
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pickle.dump(ax, BytesIO(), pickle.HIGHEST_PROTOCOL)
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# ax = plt.subplot(121, projection='hammer')
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# pickle.dump(ax, BytesIO(), pickle.HIGHEST_PROTOCOL)
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plt.figure()
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plt.bar(x=np.arange(10), height=np.arange(10))
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pickle.dump(plt.gca(), BytesIO(), pickle.HIGHEST_PROTOCOL)
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fig = plt.figure()
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ax = plt.axes()
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plt.plot(np.arange(10))
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ax.set_yscale('log')
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pickle.dump(fig, BytesIO(), pickle.HIGHEST_PROTOCOL)
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def _generate_complete_test_figure(fig_ref):
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fig_ref.set_size_inches((10, 6))
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plt.figure(fig_ref)
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plt.suptitle('Can you fit any more in a figure?')
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# make some arbitrary data
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x, y = np.arange(8), np.arange(10)
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data = u = v = np.linspace(0, 10, 80).reshape(10, 8)
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v = np.sin(v * -0.6)
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# Ensure lists also pickle correctly.
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plt.subplot(3, 3, 1)
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plt.plot(list(range(10)))
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plt.ylabel("hello")
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plt.subplot(3, 3, 2)
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plt.contourf(data, hatches=['//', 'ooo'])
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plt.colorbar()
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plt.subplot(3, 3, 3)
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plt.pcolormesh(data)
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plt.subplot(3, 3, 4)
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plt.imshow(data)
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plt.ylabel("hello\nworld!")
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plt.subplot(3, 3, 5)
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plt.pcolor(data)
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ax = plt.subplot(3, 3, 6)
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ax.set_xlim(0, 7)
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ax.set_ylim(0, 9)
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plt.streamplot(x, y, u, v)
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ax = plt.subplot(3, 3, 7)
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ax.set_xlim(0, 7)
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ax.set_ylim(0, 9)
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plt.quiver(x, y, u, v)
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plt.subplot(3, 3, 8)
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plt.scatter(x, x ** 2, label='$x^2$')
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plt.legend(loc='upper left')
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plt.subplot(3, 3, 9)
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plt.errorbar(x, x * -0.5, xerr=0.2, yerr=0.4, label='$-.5 x$')
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plt.legend(draggable=True)
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fig_ref.align_ylabels() # Test handling of _align_label_groups Groupers.
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@mpl.style.context("default")
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@check_figures_equal(extensions=["png"])
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def test_complete(fig_test, fig_ref):
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_generate_complete_test_figure(fig_ref)
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# plotting is done, now test its pickle-ability
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pkl = pickle.dumps(fig_ref, pickle.HIGHEST_PROTOCOL)
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# FigureCanvasAgg is picklable and GUI canvases are generally not, but there should
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# be no reference to the canvas in the pickle stream in either case. In order to
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# keep the test independent of GUI toolkits, run it with Agg and check that there's
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# no reference to FigureCanvasAgg in the pickle stream.
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assert "FigureCanvasAgg" not in [arg for op, arg, pos in pickletools.genops(pkl)]
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loaded = pickle.loads(pkl)
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loaded.canvas.draw()
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fig_test.set_size_inches(loaded.get_size_inches())
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fig_test.figimage(loaded.canvas.renderer.buffer_rgba())
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plt.close(loaded)
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def _pickle_load_subprocess():
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import os
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import pickle
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path = os.environ['PICKLE_FILE_PATH']
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with open(path, 'rb') as blob:
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fig = pickle.load(blob)
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print(str(pickle.dumps(fig)))
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@mpl.style.context("default")
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@check_figures_equal(extensions=['png'])
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def test_pickle_load_from_subprocess(fig_test, fig_ref, tmp_path):
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_generate_complete_test_figure(fig_ref)
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fp = tmp_path / 'sinus.pickle'
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assert not fp.exists()
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with fp.open('wb') as file:
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pickle.dump(fig_ref, file, pickle.HIGHEST_PROTOCOL)
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assert fp.exists()
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proc = subprocess_run_helper(
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_pickle_load_subprocess,
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timeout=60,
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extra_env={'PICKLE_FILE_PATH': str(fp), 'MPLBACKEND': 'Agg'}
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)
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loaded_fig = pickle.loads(ast.literal_eval(proc.stdout))
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loaded_fig.canvas.draw()
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fig_test.set_size_inches(loaded_fig.get_size_inches())
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fig_test.figimage(loaded_fig.canvas.renderer.buffer_rgba())
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plt.close(loaded_fig)
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def test_gcf():
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fig = plt.figure("a label")
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buf = BytesIO()
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pickle.dump(fig, buf, pickle.HIGHEST_PROTOCOL)
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plt.close("all")
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assert plt._pylab_helpers.Gcf.figs == {} # No figures must be left.
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fig = pickle.loads(buf.getbuffer())
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assert plt._pylab_helpers.Gcf.figs != {} # A manager is there again.
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assert fig.get_label() == "a label"
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def test_no_pyplot():
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# tests pickle-ability of a figure not created with pyplot
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from matplotlib.backends.backend_pdf import FigureCanvasPdf
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fig = mfigure.Figure()
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_ = FigureCanvasPdf(fig)
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ax = fig.add_subplot(1, 1, 1)
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ax.plot([1, 2, 3], [1, 2, 3])
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pickle.dump(fig, BytesIO(), pickle.HIGHEST_PROTOCOL)
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def test_renderer():
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from matplotlib.backends.backend_agg import RendererAgg
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renderer = RendererAgg(10, 20, 30)
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pickle.dump(renderer, BytesIO())
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def test_image():
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# Prior to v1.4.0 the Image would cache data which was not picklable
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# once it had been drawn.
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from matplotlib.backends.backend_agg import new_figure_manager
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manager = new_figure_manager(1000)
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fig = manager.canvas.figure
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ax = fig.add_subplot(1, 1, 1)
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ax.imshow(np.arange(12).reshape(3, 4))
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manager.canvas.draw()
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pickle.dump(fig, BytesIO())
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def test_polar():
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plt.subplot(polar=True)
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fig = plt.gcf()
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pf = pickle.dumps(fig)
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pickle.loads(pf)
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plt.draw()
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class TransformBlob:
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def __init__(self):
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self.identity = mtransforms.IdentityTransform()
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self.identity2 = mtransforms.IdentityTransform()
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# Force use of the more complex composition.
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self.composite = mtransforms.CompositeGenericTransform(
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self.identity,
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self.identity2)
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# Check parent -> child links of TransformWrapper.
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self.wrapper = mtransforms.TransformWrapper(self.composite)
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# Check child -> parent links of TransformWrapper.
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self.composite2 = mtransforms.CompositeGenericTransform(
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self.wrapper,
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self.identity)
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def test_transform():
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obj = TransformBlob()
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pf = pickle.dumps(obj)
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del obj
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obj = pickle.loads(pf)
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# Check parent -> child links of TransformWrapper.
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assert obj.wrapper._child == obj.composite
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# Check child -> parent links of TransformWrapper.
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assert [v() for v in obj.wrapper._parents.values()] == [obj.composite2]
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# Check input and output dimensions are set as expected.
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assert obj.wrapper.input_dims == obj.composite.input_dims
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assert obj.wrapper.output_dims == obj.composite.output_dims
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def test_rrulewrapper():
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r = rrulewrapper(2)
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try:
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pickle.loads(pickle.dumps(r))
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except RecursionError:
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print('rrulewrapper pickling test failed')
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raise
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def test_shared():
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fig, axs = plt.subplots(2, sharex=True)
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fig = pickle.loads(pickle.dumps(fig))
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fig.axes[0].set_xlim(10, 20)
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assert fig.axes[1].get_xlim() == (10, 20)
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def test_inset_and_secondary():
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fig, ax = plt.subplots()
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ax.inset_axes([.1, .1, .3, .3])
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ax.secondary_xaxis("top", functions=(np.square, np.sqrt))
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pickle.loads(pickle.dumps(fig))
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@pytest.mark.parametrize("cmap", cm._colormaps.values())
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def test_cmap(cmap):
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pickle.dumps(cmap)
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def test_unpickle_canvas():
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fig = mfigure.Figure()
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assert fig.canvas is not None
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out = BytesIO()
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pickle.dump(fig, out)
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out.seek(0)
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fig2 = pickle.load(out)
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assert fig2.canvas is not None
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def test_mpl_toolkits():
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ax = parasite_axes.host_axes([0, 0, 1, 1])
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axes_divider.make_axes_area_auto_adjustable(ax)
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assert type(pickle.loads(pickle.dumps(ax))) == parasite_axes.HostAxes
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def test_standard_norm():
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assert type(pickle.loads(pickle.dumps(mpl.colors.LogNorm()))) \
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== mpl.colors.LogNorm
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def test_dynamic_norm():
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logit_norm_instance = mpl.colors.make_norm_from_scale(
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mpl.scale.LogitScale, mpl.colors.Normalize)()
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assert type(pickle.loads(pickle.dumps(logit_norm_instance))) \
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== type(logit_norm_instance)
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def test_vertexselector():
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line, = plt.plot([0, 1], picker=True)
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pickle.loads(pickle.dumps(VertexSelector(line)))
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def test_cycler():
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ax = plt.figure().add_subplot()
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ax.set_prop_cycle(c=["c", "m", "y", "k"])
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ax.plot([1, 2])
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ax = pickle.loads(pickle.dumps(ax))
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l, = ax.plot([3, 4])
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assert l.get_color() == "m"
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