import importlib

from matplotlib import path, transforms
from matplotlib.backend_bases import (
    FigureCanvasBase, KeyEvent, LocationEvent, MouseButton, MouseEvent,
    NavigationToolbar2, RendererBase)
from matplotlib.backend_tools import RubberbandBase
from matplotlib.figure import Figure
from matplotlib.testing._markers import needs_pgf_xelatex
import matplotlib.pyplot as plt

import numpy as np
import pytest


_EXPECTED_WARNING_TOOLMANAGER = (
    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.")


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, 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 ('FigureCanvasPdf is non-interactive, and thus cannot be shown'
                in str(rec[0].message))

    with pytest.warns(UserWarning) as rec:
        plt.gcf().show()
        assert len(rec) == 1
        assert ('FigureCanvasPdf is non-interactive, and thus cannot be shown'
                in str(rec[0].message))


def test_grab_clear():
    fig, ax = plt.subplots()

    fig.canvas.grab_mouse(ax)
    assert fig.canvas.mouse_grabber == ax

    fig.clear()
    assert fig.canvas.mouse_grabber is None


@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 (ax.format_coord(x, y)
                == f"(x, y) = ({ax.format_xdata(x)}, {ax.format_ydata(y)})")
        ax.fmt_xdata = ax.fmt_ydata = lambda x: "foo"
        assert ax.format_coord(x, y) == "(x, y) = (foo, foo)"


def test_location_event_position_twin():
    fig, ax = plt.subplots()
    ax.set(xlim=(0, 10), ylim=(0, 20))
    assert ax.format_coord(5., 5.) == "(x, y) = (5.00, 5.00)"
    ax.twinx().set(ylim=(0, 40))
    assert ax.format_coord(5., 5.) == "(x, y) = (5.00, 5.00) | (5.00, 10.0)"
    ax.twiny().set(xlim=(0, 5))
    assert (ax.format_coord(5., 5.)
            == "(x, y) = (5.00, 5.00) | (5.00, 10.0) | (2.50, 5.00)")


def test_pick():
    fig = plt.figure()
    fig.text(.5, .5, "hello", ha="center", va="center", picker=True)
    fig.canvas.draw()

    picks = []
    def handle_pick(event):
        assert event.mouseevent.key == "a"
        picks.append(event)
    fig.canvas.mpl_connect("pick_event", handle_pick)

    KeyEvent("key_press_event", fig.canvas, "a")._process()
    MouseEvent("button_press_event", fig.canvas,
               *fig.transFigure.transform((.5, .5)),
               MouseButton.LEFT)._process()
    KeyEvent("key_release_event", fig.canvas, "a")._process()
    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_widgetlock_zoompan():
    fig, ax = plt.subplots()
    ax.plot([0, 1], [0, 1])
    fig.canvas.widgetlock(ax)
    tb = NavigationToolbar2(fig.canvas)
    tb.zoom()
    assert ax.get_navigate_mode() is None
    tb.pan()
    assert ax.get_navigate_mode() is None


@pytest.mark.parametrize("plot_func", ["imshow", "contourf"])
@pytest.mark.parametrize("orientation", ["vertical", "horizontal"])
@pytest.mark.parametrize("tool,button,expected",
                         [("zoom", MouseButton.LEFT, (4, 6)),  # zoom in
                          ("zoom", MouseButton.RIGHT, (-20, 30)),  # zoom out
                          ("pan", MouseButton.LEFT, (-2, 8)),
                          ("pan", MouseButton.RIGHT, (1.47, 7.78))])  # zoom
def test_interactive_colorbar(plot_func, orientation, tool, button, expected):
    fig, ax = plt.subplots()
    data = np.arange(12).reshape((4, 3))
    vmin0, vmax0 = 0, 10
    coll = getattr(ax, plot_func)(data, vmin=vmin0, vmax=vmax0)

    cb = fig.colorbar(coll, ax=ax, orientation=orientation)
    if plot_func == "contourf":
        # Just determine we can't navigate and exit out of the test
        assert not cb.ax.get_navigate()
        return

    assert cb.ax.get_navigate()

    # Mouse from 4 to 6 (data coordinates, "d").
    vmin, vmax = 4, 6
    # The y coordinate doesn't matter, it just needs to be between 0 and 1
    # However, we will set d0/d1 to the same y coordinate to test that small
    # pixel changes in that coordinate doesn't cancel the zoom like a normal
    # axes would.
    d0 = (vmin, 0.5)
    d1 = (vmax, 0.5)
    # Swap them if the orientation is vertical
    if orientation == "vertical":
        d0 = d0[::-1]
        d1 = d1[::-1]
    # 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 = cb.ax.transData.transform(d0).astype(int)
    s1 = cb.ax.transData.transform(d1).astype(int)

    # Set up the mouse movements
    start_event = MouseEvent(
        "button_press_event", fig.canvas, *s0, button)
    stop_event = MouseEvent(
        "button_release_event", fig.canvas, *s1, button)

    tb = NavigationToolbar2(fig.canvas)
    if tool == "zoom":
        tb.zoom()
        tb.press_zoom(start_event)
        tb.drag_zoom(stop_event)
        tb.release_zoom(stop_event)
    else:
        tb.pan()
        tb.press_pan(start_event)
        tb.drag_pan(stop_event)
        tb.release_pan(stop_event)

    # Should be close, but won't be exact due to screen integer resolution
    assert (cb.vmin, cb.vmax) == pytest.approx(expected, abs=0.15)


def test_toolbar_zoompan():
    with pytest.warns(UserWarning, match=_EXPECTED_WARNING_TOOLMANAGER):
        plt.rcParams['toolbar'] = 'toolmanager'
    ax = plt.gca()
    assert ax.get_navigate_mode() is None
    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"


def test_toolbar_home_restores_autoscale():
    fig, ax = plt.subplots()
    ax.plot(range(11), range(11))

    tb = NavigationToolbar2(fig.canvas)
    tb.zoom()

    # Switch to log.
    KeyEvent("key_press_event", fig.canvas, "k", 100, 100)._process()
    KeyEvent("key_press_event", fig.canvas, "l", 100, 100)._process()
    assert ax.get_xlim() == ax.get_ylim() == (1, 10)  # Autolimits excluding 0.
    # Switch back to linear.
    KeyEvent("key_press_event", fig.canvas, "k", 100, 100)._process()
    KeyEvent("key_press_event", fig.canvas, "l", 100, 100)._process()
    assert ax.get_xlim() == ax.get_ylim() == (0, 10)  # Autolimits.

    # Zoom in from (x, y) = (2, 2) to (5, 5).
    start, stop = ax.transData.transform([(2, 2), (5, 5)])
    MouseEvent("button_press_event", fig.canvas, *start, MouseButton.LEFT)._process()
    MouseEvent("button_release_event", fig.canvas, *stop, MouseButton.LEFT)._process()
    # Go back to home.
    KeyEvent("key_press_event", fig.canvas, "h")._process()

    assert ax.get_xlim() == ax.get_ylim() == (0, 10)
    # Switch to log.
    KeyEvent("key_press_event", fig.canvas, "k", 100, 100)._process()
    KeyEvent("key_press_event", fig.canvas, "l", 100, 100)._process()
    assert ax.get_xlim() == ax.get_ylim() == (1, 10)  # Autolimits excluding 0.


@pytest.mark.parametrize(
    "backend", ['svg', 'ps', 'pdf',
                pytest.param('pgf', marks=needs_pgf_xelatex)]
)
def test_draw(backend):
    from matplotlib.figure import Figure
    from matplotlib.backends.backend_agg import FigureCanvas
    test_backend = importlib.import_module(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)


@pytest.mark.parametrize(
    "key,mouseend,expectedxlim,expectedylim",
    [(None, (0.2, 0.2), (3.49, 12.49), (2.7, 11.7)),
     (None, (0.2, 0.5), (3.49, 12.49), (0, 9)),
     (None, (0.5, 0.2), (0, 9), (2.7, 11.7)),
     (None, (0.5, 0.5), (0, 9), (0, 9)),  # No move
     (None, (0.8, 0.25), (-3.47, 5.53), (2.25, 11.25)),
     (None, (0.2, 0.25), (3.49, 12.49), (2.25, 11.25)),
     (None, (0.8, 0.85), (-3.47, 5.53), (-3.14, 5.86)),
     (None, (0.2, 0.85), (3.49, 12.49), (-3.14, 5.86)),
     ("shift", (0.2, 0.4), (3.49, 12.49), (0, 9)),  # snap to x
     ("shift", (0.4, 0.2), (0, 9), (2.7, 11.7)),  # snap to y
     ("shift", (0.2, 0.25), (3.49, 12.49), (3.49, 12.49)),  # snap to diagonal
     ("shift", (0.8, 0.25), (-3.47, 5.53), (3.47, 12.47)),  # snap to diagonal
     ("shift", (0.8, 0.9), (-3.58, 5.41), (-3.58, 5.41)),  # snap to diagonal
     ("shift", (0.2, 0.85), (3.49, 12.49), (-3.49, 5.51)),  # snap to diagonal
     ("x", (0.2, 0.1), (3.49, 12.49), (0, 9)),  # only x
     ("y", (0.1, 0.2), (0, 9), (2.7, 11.7)),  # only y
     ("control", (0.2, 0.2), (3.49, 12.49), (3.49, 12.49)),  # diagonal
     ("control", (0.4, 0.2), (2.72, 11.72), (2.72, 11.72)),  # diagonal
     ])
def test_interactive_pan(key, mouseend, expectedxlim, expectedylim):
    fig, ax = plt.subplots()
    ax.plot(np.arange(10))
    assert ax.get_navigate()
    # Set equal aspect ratio to easier see diagonal snap
    ax.set_aspect('equal')

    # Mouse move starts from 0.5, 0.5
    mousestart = (0.5, 0.5)
    # 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.
    sstart = ax.transData.transform(mousestart).astype(int)
    send = ax.transData.transform(mouseend).astype(int)

    # Set up the mouse movements
    start_event = MouseEvent(
        "button_press_event", fig.canvas, *sstart, button=MouseButton.LEFT,
        key=key)
    stop_event = MouseEvent(
        "button_release_event", fig.canvas, *send, button=MouseButton.LEFT,
        key=key)

    tb = NavigationToolbar2(fig.canvas)
    tb.pan()
    tb.press_pan(start_event)
    tb.drag_pan(stop_event)
    tb.release_pan(stop_event)
    # Should be close, but won't be exact due to screen integer resolution
    assert tuple(ax.get_xlim()) == pytest.approx(expectedxlim, abs=0.02)
    assert tuple(ax.get_ylim()) == pytest.approx(expectedylim, abs=0.02)


def test_toolmanager_remove():
    with pytest.warns(UserWarning, match=_EXPECTED_WARNING_TOOLMANAGER):
        plt.rcParams['toolbar'] = 'toolmanager'
    fig = plt.gcf()
    initial_len = len(fig.canvas.manager.toolmanager.tools)
    assert 'forward' in fig.canvas.manager.toolmanager.tools
    fig.canvas.manager.toolmanager.remove_tool('forward')
    assert len(fig.canvas.manager.toolmanager.tools) == initial_len - 1
    assert 'forward' not in fig.canvas.manager.toolmanager.tools


def test_toolmanager_get_tool():
    with pytest.warns(UserWarning, match=_EXPECTED_WARNING_TOOLMANAGER):
        plt.rcParams['toolbar'] = 'toolmanager'
    fig = plt.gcf()
    rubberband = fig.canvas.manager.toolmanager.get_tool('rubberband')
    assert isinstance(rubberband, RubberbandBase)
    assert fig.canvas.manager.toolmanager.get_tool(rubberband) is rubberband
    with pytest.warns(UserWarning,
                      match="ToolManager does not control tool 'foo'"):
        assert fig.canvas.manager.toolmanager.get_tool('foo') is None
    assert fig.canvas.manager.toolmanager.get_tool('foo', warn=False) is None

    with pytest.warns(UserWarning,
                      match="ToolManager does not control tool 'foo'"):
        assert fig.canvas.manager.toolmanager.trigger_tool('foo') is None


def test_toolmanager_update_keymap():
    with pytest.warns(UserWarning, match=_EXPECTED_WARNING_TOOLMANAGER):
        plt.rcParams['toolbar'] = 'toolmanager'
    fig = plt.gcf()
    assert 'v' in fig.canvas.manager.toolmanager.get_tool_keymap('forward')
    with pytest.warns(UserWarning,
                      match="Key c changed from back to forward"):
        fig.canvas.manager.toolmanager.update_keymap('forward', 'c')
    assert fig.canvas.manager.toolmanager.get_tool_keymap('forward') == ['c']
    with pytest.raises(KeyError, match="'foo' not in Tools"):
        fig.canvas.manager.toolmanager.update_keymap('foo', 'c')


@pytest.mark.parametrize("tool", ["zoom", "pan"])
@pytest.mark.parametrize("button", [MouseButton.LEFT, MouseButton.RIGHT])
@pytest.mark.parametrize("patch_vis", [True, False])
@pytest.mark.parametrize("forward_nav", [True, False, "auto"])
@pytest.mark.parametrize("t_s", ["twin", "share"])
def test_interactive_pan_zoom_events(tool, button, patch_vis, forward_nav, t_s):
    # Bottom axes: ax_b    Top axes: ax_t
    fig, ax_b = plt.subplots()
    ax_t = fig.add_subplot(221, zorder=99)
    ax_t.set_forward_navigation_events(forward_nav)
    ax_t.patch.set_visible(patch_vis)

    # ----------------------------
    if t_s == "share":
        ax_t_twin = fig.add_subplot(222)
        ax_t_twin.sharex(ax_t)
        ax_t_twin.sharey(ax_t)

        ax_b_twin = fig.add_subplot(223)
        ax_b_twin.sharex(ax_b)
        ax_b_twin.sharey(ax_b)
    elif t_s == "twin":
        ax_t_twin = ax_t.twinx()
        ax_b_twin = ax_b.twinx()

    # just some styling to simplify manual checks
    ax_t.set_label("ax_t")
    ax_t.patch.set_facecolor((1, 0, 0, 0.5))

    ax_t_twin.set_label("ax_t_twin")
    ax_t_twin.patch.set_facecolor("r")

    ax_b.set_label("ax_b")
    ax_b.patch.set_facecolor((0, 0, 1, 0.5))

    ax_b_twin.set_label("ax_b_twin")
    ax_b_twin.patch.set_facecolor("b")

    # ----------------------------

    # Set initial axis limits
    init_xlim, init_ylim = (0, 10), (0, 10)
    for ax in [ax_t, ax_b]:
        ax.set_xlim(*init_xlim)
        ax.set_ylim(*init_ylim)

    # Mouse from 2 to 1 (in data-coordinates of ax_t).
    xstart_t, xstop_t, ystart_t, ystop_t = 1, 2, 1, 2
    # 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 s0/s1.
    s0 = ax_t.transData.transform((xstart_t, ystart_t)).astype(int)
    s1 = ax_t.transData.transform((xstop_t, ystop_t)).astype(int)

    # Calculate the mouse-distance in data-coordinates of the bottom-axes
    xstart_b, ystart_b = ax_b.transData.inverted().transform(s0)
    xstop_b, ystop_b = ax_b.transData.inverted().transform(s1)

    # Set up the mouse movements
    start_event = MouseEvent("button_press_event", fig.canvas, *s0, button)
    stop_event = MouseEvent("button_release_event", fig.canvas, *s1, button)

    tb = NavigationToolbar2(fig.canvas)

    if tool == "zoom":
        # Evaluate expected limits before executing the zoom-event
        direction = ("in" if button == 1 else "out")

        xlim_t, ylim_t = ax_t._prepare_view_from_bbox([*s0, *s1], direction)

        if ax_t.get_forward_navigation_events() is True:
            xlim_b, ylim_b = ax_b._prepare_view_from_bbox([*s0, *s1], direction)
        elif ax_t.get_forward_navigation_events() is False:
            xlim_b = init_xlim
            ylim_b = init_ylim
        else:
            if not ax_t.patch.get_visible():
                xlim_b, ylim_b = ax_b._prepare_view_from_bbox([*s0, *s1], direction)
            else:
                xlim_b = init_xlim
                ylim_b = init_ylim

        tb.zoom()
        tb.press_zoom(start_event)
        tb.drag_zoom(stop_event)
        tb.release_zoom(stop_event)

        assert ax_t.get_xlim() == pytest.approx(xlim_t, abs=0.15)
        assert ax_t.get_ylim() == pytest.approx(ylim_t, abs=0.15)
        assert ax_b.get_xlim() == pytest.approx(xlim_b, abs=0.15)
        assert ax_b.get_ylim() == pytest.approx(ylim_b, abs=0.15)

        # Check if twin-axes are properly triggered
        assert ax_t.get_xlim() == pytest.approx(ax_t_twin.get_xlim(), abs=0.15)
        assert ax_b.get_xlim() == pytest.approx(ax_b_twin.get_xlim(), abs=0.15)
    else:
        # Evaluate expected limits
        # (call start_pan to make sure ax._pan_start is set)
        ax_t.start_pan(*s0, button)
        xlim_t, ylim_t = ax_t._get_pan_points(button, None, *s1).T.astype(float)
        ax_t.end_pan()

        if ax_t.get_forward_navigation_events() is True:
            ax_b.start_pan(*s0, button)
            xlim_b, ylim_b = ax_b._get_pan_points(button, None, *s1).T.astype(float)
            ax_b.end_pan()
        elif ax_t.get_forward_navigation_events() is False:
            xlim_b = init_xlim
            ylim_b = init_ylim
        else:
            if not ax_t.patch.get_visible():
                ax_b.start_pan(*s0, button)
                xlim_b, ylim_b = ax_b._get_pan_points(button, None, *s1).T.astype(float)
                ax_b.end_pan()
            else:
                xlim_b = init_xlim
                ylim_b = init_ylim

        tb.pan()
        tb.press_pan(start_event)
        tb.drag_pan(stop_event)
        tb.release_pan(stop_event)

        assert ax_t.get_xlim() == pytest.approx(xlim_t, abs=0.15)
        assert ax_t.get_ylim() == pytest.approx(ylim_t, abs=0.15)
        assert ax_b.get_xlim() == pytest.approx(xlim_b, abs=0.15)
        assert ax_b.get_ylim() == pytest.approx(ylim_b, abs=0.15)

        # Check if twin-axes are properly triggered
        assert ax_t.get_xlim() == pytest.approx(ax_t_twin.get_xlim(), abs=0.15)
        assert ax_b.get_xlim() == pytest.approx(ax_b_twin.get_xlim(), abs=0.15)
