import re

from matplotlib.testing import _check_for_pgf

from matplotlib.backend_bases import (

FigureCanvasBase, LocationEvent, MouseButton, MouseEvent,

NavigationToolbar2, RendererBase)

from matplotlib.backend_tools import (ToolZoom, ToolPan, RubberbandBase,

ToolViewsPositions, _views_positions)

from matplotlib.figure import Figure

import matplotlib.pyplot as plt

import matplotlib.transforms as transforms

import matplotlib.path as path

import numpy as np

import pytest

needs_xelatex = pytest.mark.skipif(not _check_for_pgf('xelatex'),

reason='xelatex + pgf is required')

def test_uses_per_path():

id = transforms.Affine2D()

paths = [path.Path.unit_regular_polygon(i) for i in range(3, 7)]

tforms_matrices = [id.rotate(i).get_matrix().copy() for i in range(1, 5)]

offsets = np.arange(20).reshape((10, 2))

facecolors = ['red', 'green']

edgecolors = ['red', 'green']

def check(master_transform, paths, all_transforms,

offsets, facecolors, edgecolors):

rb = RendererBase()

raw_paths = list(rb._iter_collection_raw_paths(

master_transform, paths, all_transforms))

gc = rb.new_gc()

ids = [path_id for xo, yo, path_id, gc0, rgbFace in

rb._iter_collection(

gc, master_transform, all_transforms,

range(len(raw_paths)), offsets,

transforms.AffineDeltaTransform(master_transform),

facecolors, edgecolors, [], [], [False],

[], 'screen')]

uses = rb._iter_collection_uses_per_path(

paths, all_transforms, offsets, facecolors, edgecolors)

if raw_paths:

seen = np.bincount(ids, minlength=len(raw_paths))

assert set(seen).issubset([uses - 1, uses])

check(id, paths, tforms_matrices, offsets, facecolors, edgecolors)

check(id, paths[0:1], tforms_matrices, offsets, facecolors, edgecolors)

check(id, [], tforms_matrices, offsets, facecolors, edgecolors)

check(id, paths, tforms_matrices[0:1], offsets, facecolors, edgecolors)

check(id, paths, [], offsets, facecolors, edgecolors)

for n in range(0, offsets.shape[0]):

check(id, paths, tforms_matrices, offsets[0:n, :],

facecolors, edgecolors)

check(id, paths, tforms_matrices, offsets, [], edgecolors)

check(id, paths, tforms_matrices, offsets, facecolors, [])

check(id, paths, tforms_matrices, offsets, [], [])

check(id, paths, tforms_matrices, offsets, facecolors[0:1], edgecolors)

def test_canvas_ctor():

assert isinstance(FigureCanvasBase().figure, Figure)

def test_get_default_filename():

assert plt.figure().canvas.get_default_filename() == 'image.png'

def test_canvas_change():

fig = plt.figure()

# Replaces fig.canvas

canvas = FigureCanvasBase(fig)

# Should still work.

plt.close(fig)

assert not plt.fignum_exists(fig.number)

@pytest.mark.backend('pdf')

def test_non_gui_warning(monkeypatch):

plt.subplots()

monkeypatch.setenv("DISPLAY", ":999")

with pytest.warns(UserWarning) as rec:

plt.show()

assert len(rec) == 1

assert ('Matplotlib is currently using pdf, which is a non-GUI backend'

in str(rec[0].message))

with pytest.warns(UserWarning) as rec:

plt.gcf().show()

assert len(rec) == 1

assert ('Matplotlib is currently using pdf, which is a non-GUI backend'

in str(rec[0].message))

@pytest.mark.parametrize(

"x, y", [(42, 24), (None, 42), (None, None), (200, 100.01), (205.75, 2.0)])

def test_location_event_position(x, y):

# LocationEvent should cast its x and y arguments to int unless it is None.

fig, ax = plt.subplots()

canvas = FigureCanvasBase(fig)

event = LocationEvent("test_event", canvas, x, y)

if x is None:

assert event.x is None

else:

assert event.x == int(x)

assert isinstance(event.x, int)

if y is None:

assert event.y is None

else:

assert event.y == int(y)

assert isinstance(event.y, int)

if x is not None and y is not None:

assert re.match(

"x={} +y={}".format(ax.format_xdata(x), ax.format_ydata(y)),

ax.format_coord(x, y))

ax.fmt_xdata = ax.fmt_ydata = lambda x: "foo"

assert re.match("x=foo +y=foo", ax.format_coord(x, y))

def test_pick():

fig = plt.figure()

fig.text(.5, .5, "hello", ha="center", va="center", picker=True)

fig.canvas.draw()

picks = []

fig.canvas.mpl_connect("pick_event", lambda event: picks.append(event))

start_event = MouseEvent(

"button_press_event", fig.canvas, *fig.transFigure.transform((.5, .5)),

MouseButton.LEFT)

fig.canvas.callbacks.process(start_event.name, start_event)

assert len(picks) == 1

def test_interactive_zoom():

fig, ax = plt.subplots()

ax.set(xscale="logit")

assert ax.get_navigate_mode() is None

tb = NavigationToolbar2(fig.canvas)

tb.zoom()

assert ax.get_navigate_mode() == 'ZOOM'

xlim0 = ax.get_xlim()

ylim0 = ax.get_ylim()

# Zoom from x=1e-6, y=0.1 to x=1-1e-5, 0.8 (data coordinates, "d").

d0 = (1e-6, 0.1)

d1 = (1-1e-5, 0.8)

# Convert to screen coordinates ("s"). Events are defined only with pixel

# precision, so round the pixel values, and below, check against the

# corresponding xdata/ydata, which are close but not equal to d0/d1.

s0 = ax.transData.transform(d0).astype(int)

s1 = ax.transData.transform(d1).astype(int)

# Zoom in.

start_event = MouseEvent(

"button_press_event", fig.canvas, *s0, MouseButton.LEFT)

fig.canvas.callbacks.process(start_event.name, start_event)

stop_event = MouseEvent(

"button_release_event", fig.canvas, *s1, MouseButton.LEFT)

fig.canvas.callbacks.process(stop_event.name, stop_event)

assert ax.get_xlim() == (start_event.xdata, stop_event.xdata)

assert ax.get_ylim() == (start_event.ydata, stop_event.ydata)

# Zoom out.

start_event = MouseEvent(

"button_press_event", fig.canvas, *s1, MouseButton.RIGHT)

fig.canvas.callbacks.process(start_event.name, start_event)

stop_event = MouseEvent(

"button_release_event", fig.canvas, *s0, MouseButton.RIGHT)

fig.canvas.callbacks.process(stop_event.name, stop_event)

# Absolute tolerance much less than original xmin (1e-7).

assert ax.get_xlim() == pytest.approx(xlim0, rel=0, abs=1e-10)

assert ax.get_ylim() == pytest.approx(ylim0, rel=0, abs=1e-10)

tb.zoom()

assert ax.get_navigate_mode() is None

assert not ax.get_autoscalex_on() and not ax.get_autoscaley_on()

def test_toolbar_zoompan():

expected_warning_regex = (

r"Treat the new Tool classes introduced in "

r"v[0-9]*.[0-9]* as experimental for now; "

"the API and rcParam may change in future versions.")

with pytest.warns(UserWarning, match=expected_warning_regex):

plt.rcParams['toolbar'] = 'toolmanager'

ax = plt.gca()

assert ax.get_navigate_mode() is None

ax.figure.canvas.manager.toolmanager.add_tool(name="zoom",

tool=ToolZoom)

ax.figure.canvas.manager.toolmanager.add_tool(name="pan",

tool=ToolPan)

ax.figure.canvas.manager.toolmanager.add_tool(name=_views_positions,

tool=ToolViewsPositions)

ax.figure.canvas.manager.toolmanager.add_tool(name='rubberband',

tool=RubberbandBase)

ax.figure.canvas.manager.toolmanager.trigger_tool('zoom')

assert ax.get_navigate_mode() == "ZOOM"

ax.figure.canvas.manager.toolmanager.trigger_tool('pan')

assert ax.get_navigate_mode() == "PAN"

@pytest.mark.parametrize(

"backend", ['svg', 'ps', 'pdf', pytest.param('pgf', marks=needs_xelatex)]

)

def test_draw(backend):

from matplotlib.figure import Figure

from matplotlib.backends.backend_agg import FigureCanvas

test_backend = pytest.importorskip(

f'matplotlib.backends.backend_{backend}'

)

TestCanvas = test_backend.FigureCanvas

fig_test = Figure(constrained_layout=True)

TestCanvas(fig_test)

axes_test = fig_test.subplots(2, 2)

# defaults to FigureCanvasBase

fig_agg = Figure(constrained_layout=True)

# put a backends.backend_agg.FigureCanvas on it

FigureCanvas(fig_agg)

axes_agg = fig_agg.subplots(2, 2)

init_pos = [ax.get_position() for ax in axes_test.ravel()]

fig_test.canvas.draw()

fig_agg.canvas.draw()

layed_out_pos_test = [ax.get_position() for ax in axes_test.ravel()]

layed_out_pos_agg = [ax.get_position() for ax in axes_agg.ravel()]

for init, placed in zip(init_pos, layed_out_pos_test):

assert not np.allclose(init, placed, atol=0.005)

for ref, test in zip(layed_out_pos_agg, layed_out_pos_test):

np.testing.assert_allclose(ref, test, atol=0.005)