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GeezerVison is showing github.com — fastplotlib/tests/test_colors_buffer_manager.py at streamplot · fastplotlib/fastplotlib

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import numpy as np
from numpy import testing as npt
import pytest
import pygfx
import fastplotlib as fpl
from fastplotlib.graphics.features import VertexColors, GraphicFeatureEvent
from .utils import (
generate_slice_indices,
generate_color_inputs,
generate_positions_spiral_data,
)
def make_colors_buffer() -> VertexColors:
colors = VertexColors(colors="w", n_colors=10)
return colors
EVENT_RETURN_VALUE: GraphicFeatureEvent = None
def event_handler(ev):
global EVENT_RETURN_VALUE
EVENT_RETURN_VALUE = ev
@pytest.mark.parametrize(
"color_input",
[
*generate_color_inputs("r"),
*generate_color_inputs("g"),
*generate_color_inputs("b"),
],
)
def test_create_buffer(color_input):
colors = VertexColors(colors=color_input, n_colors=10)
truth = np.repeat([pygfx.Color(color_input)], 10, axis=0)
npt.assert_almost_equal(colors[:], truth)
@pytest.mark.parametrize("test_graphic", [False, "line", "scatter"])
def test_int(test_graphic):
# setting single points
if test_graphic:
fig = fpl.Figure()
data = generate_positions_spiral_data("xyz")
colors = np.ones(shape=(len(data), 4), dtype=np.float32)
if test_graphic == "line":
graphic = fig[0, 0].add_line(data=data, colors=colors)
elif test_graphic == "scatter":
graphic = fig[0, 0].add_scatter(data=data, colors=colors)
colors = graphic.colors
global EVENT_RETURN_VALUE
graphic.add_event_handler(event_handler, "colors")
else:
colors = make_colors_buffer()
# TODO: placeholder until I make a testing figure where we draw frames only on call
colors[3] = "r"
npt.assert_almost_equal(colors[3], [1.0, 0.0, 0.0, 1.0])
if test_graphic:
# test event
assert isinstance(EVENT_RETURN_VALUE, GraphicFeatureEvent)
assert EVENT_RETURN_VALUE.graphic == graphic
assert EVENT_RETURN_VALUE.target is graphic.world_object
assert EVENT_RETURN_VALUE.info["key"] == 3
npt.assert_almost_equal(
EVENT_RETURN_VALUE.info["value"], np.array([[1, 0, 0, 1]])
)
assert EVENT_RETURN_VALUE.info["user_value"] == "r"
colors[6] = [0.0, 1.0, 1.0, 1.0]
npt.assert_almost_equal(colors[6], [0.0, 1.0, 1.0, 1.0])
colors[7] = (0.0, 1.0, 1.0, 1.0)
npt.assert_almost_equal(colors[6], [0.0, 1.0, 1.0, 1.0])
colors[8] = np.array([1, 0, 1, 1])
npt.assert_almost_equal(colors[8], [1.0, 0.0, 1.0, 1.0])
colors[2] = [1, 0, 1, 0.5]
npt.assert_almost_equal(colors[2], [1.0, 0.0, 1.0, 0.5])
@pytest.mark.parametrize("test_graphic", [False, "line", "scatter"])
@pytest.mark.parametrize(
"slice_method", [generate_slice_indices(i) for i in range(0, 16)]
)
def test_tuple(test_graphic, slice_method):
# setting entire array manually
if test_graphic:
fig = fpl.Figure()
data = generate_positions_spiral_data("xyz")
colors = np.ones(shape=(len(data), 4), dtype=np.float32)
if test_graphic == "line":
graphic = fig[0, 0].add_line(data=data, colors=colors)
elif test_graphic == "scatter":
graphic = fig[0, 0].add_scatter(data=data, colors=colors)
colors = graphic.colors
global EVENT_RETURN_VALUE
graphic.add_event_handler(event_handler, "colors")
else:
colors = make_colors_buffer()
s = slice_method["slice"]
indices = slice_method["indices"]
others = slice_method["others"]
# set all RGBA vals
colors[s, :] = 0.5
truth = np.repeat([[0.5, 0.5, 0.5, 0.5]], repeats=len(indices), axis=0)
npt.assert_almost_equal(colors[indices], truth)
if test_graphic:
# test event
assert isinstance(EVENT_RETURN_VALUE, GraphicFeatureEvent)
assert EVENT_RETURN_VALUE.graphic == graphic
assert EVENT_RETURN_VALUE.target is graphic.world_object
assert EVENT_RETURN_VALUE.info["key"] == (s, slice(None))
npt.assert_almost_equal(EVENT_RETURN_VALUE.info["value"], truth)
assert EVENT_RETURN_VALUE.info["user_value"] == 0.5
# check others are not modified
others_truth = np.repeat([[1.0, 1.0, 1.0, 1.0]], repeats=len(others), axis=0)
npt.assert_almost_equal(colors[others], others_truth)
# reset
if test_graphic:
# test setter
graphic.colors = "w"
else:
colors[:] = [1, 1, 1, 1]
truth = np.repeat([[1.0, 1.0, 1.0, 1.0]], 10, axis=0)
npt.assert_almost_equal(colors[:], truth)
if test_graphic:
# test event
assert isinstance(EVENT_RETURN_VALUE, GraphicFeatureEvent)
assert EVENT_RETURN_VALUE.graphic == graphic
assert EVENT_RETURN_VALUE.target is graphic.world_object
assert EVENT_RETURN_VALUE.info["key"] == slice(None)
npt.assert_almost_equal(EVENT_RETURN_VALUE.info["value"], truth)
assert EVENT_RETURN_VALUE.info["user_value"] == "w"
# set just R values
colors[s, 0] = 0.5
truth = np.repeat([[0.5, 1.0, 1.0, 1.0]], repeats=len(indices), axis=0)
# check others not modified
npt.assert_almost_equal(colors[indices], truth)
npt.assert_almost_equal(colors[others], others_truth)
# reset
colors[:] = (1, 1, 1, 1)
npt.assert_almost_equal(colors[:], np.repeat([[1.0, 1.0, 1.0, 1.0]], 10, axis=0))
# set green and blue
colors[s, 1:-1] = 0.7
truth = np.repeat([[1.0, 0.7, 0.7, 1.0]], repeats=len(indices), axis=0)
npt.assert_almost_equal(colors[indices], truth)
npt.assert_almost_equal(colors[others], others_truth)
# reset
colors[:] = (1, 1, 1, 1)
npt.assert_almost_equal(colors[:], np.repeat([[1.0, 1.0, 1.0, 1.0]], 10, axis=0))
# set only alpha
colors[s, -1] = 0.2
truth = np.repeat([[1.0, 1.0, 1.0, 0.2]], repeats=len(indices), axis=0)
npt.assert_almost_equal(colors[indices], truth)
npt.assert_almost_equal(colors[others], others_truth)
@pytest.mark.parametrize("color_input", generate_color_inputs("red"))
# skip testing with int since that results in shape [1, 4] with np.repeat, int tested in independent unit test
@pytest.mark.parametrize(
"slice_method", [generate_slice_indices(i) for i in range(1, 16)]
)
@pytest.mark.parametrize("test_graphic", [False, "line", "scatter"])
def test_slice(color_input, slice_method: dict, test_graphic: bool):
# slicing only first dim
if test_graphic:
fig = fpl.Figure()
data = generate_positions_spiral_data("xyz")
colors = np.ones(shape=(len(data), 4), dtype=np.float32)
if test_graphic == "line":
graphic = fig[0, 0].add_line(data=data, colors=colors)
elif test_graphic == "scatter":
graphic = fig[0, 0].add_scatter(data=data, colors=colors)
colors = graphic.colors
global EVENT_RETURN_VALUE
graphic.add_event_handler(event_handler, "colors")
else:
colors = make_colors_buffer()
s = slice_method["slice"]
indices = slice_method["indices"]
offset = slice_method["offset"]
size = slice_method["size"]
others = slice_method["others"]
colors[s] = color_input
truth = np.repeat([pygfx.Color(color_input)], repeats=len(indices), axis=0)
# check that correct indices are modified
npt.assert_almost_equal(colors[s], truth)
npt.assert_almost_equal(colors[indices], truth)
# check event
if test_graphic:
global EVENT_RETURN_VALUE
assert isinstance(EVENT_RETURN_VALUE, GraphicFeatureEvent)
assert EVENT_RETURN_VALUE.graphic == graphic
assert EVENT_RETURN_VALUE.target is graphic.world_object
if isinstance(s, slice):
assert EVENT_RETURN_VALUE.info["key"] == s
else:
npt.assert_almost_equal(EVENT_RETURN_VALUE.info["key"], s)
npt.assert_almost_equal(EVENT_RETURN_VALUE.info["value"], truth)
if isinstance(color_input, str):
assert EVENT_RETURN_VALUE.info["user_value"] == color_input
else:
npt.assert_almost_equal(EVENT_RETURN_VALUE.info["user_value"], color_input)
# check that others are not touched
others_truth = np.repeat([[1.0, 1.0, 1.0, 1.0]], repeats=len(others), axis=0)
npt.assert_almost_equal(colors[others], others_truth)
# reset
colors[:] = (1, 1, 1, 1)
npt.assert_almost_equal(colors[:], np.repeat([[1.0, 1.0, 1.0, 1.0]], 10, axis=0))
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