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utils.py
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import numpy as np
import pygfx
def generate_slice_indices(kind: int):
n_elements = 10
a = np.arange(n_elements)
match kind:
case 0:
# simplest, just int
s = 2
indices = [2]
case 1:
# everything, [:]
s = slice(None, None, None)
indices = list(range(10))
case 2:
# positive continuous range, [1:5]
s = slice(1, 5, None)
indices = [1, 2, 3, 4]
case 3:
# positive stepped range, [2:8:2]
s = slice(2, 8, 2)
indices = [2, 4, 6]
case 4:
# negative continuous range, [-5:]
s = slice(-5, None, None)
indices = [5, 6, 7, 8, 9]
case 5:
# negative backwards, [-5::-1]
s = slice(-5, None, -1)
indices = [5, 4, 3, 2, 1, 0]
case 5:
# negative backwards stepped, [-5::-2]
s = slice(-5, None, -2)
indices = [5, 3, 1]
case 6:
# negative stepped forward[-5::2]
s = slice(-5, None, 2)
indices = [5, 7, 9]
case 7:
# both negative, [-8:-2]
s = slice(-8, -2, None)
indices = [2, 3, 4, 5, 6, 7]
case 8:
# both negative and stepped, [-8:2:2]
s = slice(-8, -2, 2)
indices = [2, 4, 6]
case 9:
# positive, negative, negative, [8:-9:-2]
s = slice(8, -9, -2)
indices = [8, 6, 4, 2]
case 10:
# only stepped forward, [::2]
s = slice(None, None, 2)
indices = [0, 2, 4, 6, 8]
case 11:
# only stepped backward, [::-3]
s = slice(None, None, -3)
indices = [9, 6, 3, 0]
case 12:
# list indices
s = [2, 5, 9]
indices = [2, 5, 9]
case 13:
# bool indices
s = a > 5
indices = [6, 7, 8, 9]
case 14:
# list indices with negatives
s = [1, 4, -2]
indices = [1, 4, 8]
case 15:
# array indices
s = np.array([1, 4, -7, 9])
indices = [1, 4, 3, 9]
others = [i for i in a if i not in indices]
offset, size = (min(indices), np.ptp(indices) + 1)
return {
"slice": s,
"indices": indices,
"others": others,
"offset": offset,
"size": size,
}
def generate_positions_spiral_data(inputs: str) -> np.ndarray:
"""
Generates a spiral/spring
Only 10 points so a very pointy spiral but easier to spot changes :D
"""
xs = np.linspace(0, 10 * np.pi, 10)
ys = np.sin(xs)
zs = np.cos(xs)
match inputs:
case "y":
data = ys
case "xy":
data = np.column_stack([xs, ys])
case "xyz":
data = np.column_stack([xs, ys, zs])
return data.astype(np.float32)
def generate_color_inputs(
name: str,
) -> list[str, np.ndarray, list, tuple] | list[str, np.ndarray]:
if name == "multi":
s = [
"r",
"g",
"b",
"cyan",
"magenta",
"green",
"yellow",
"white",
"purple",
"orange",
]
array = np.vstack([pygfx.Color(c) for c in s])
return [s, array]
if name == "multi2":
# a second multi option
s = [
"g",
"r",
"cyan",
"magenta",
"b",
"black",
"white",
"purple",
"yellow",
"pink",
]
array = np.vstack([pygfx.Color(c) for c in s])
return [s, array]
color = pygfx.Color(name)
s = name
a = np.array(color)
l = list(color)
t = tuple(color)
return [s, a, l, t]
MULTI_COLORS_TRUTH = np.array(
[
[1.0, 0.0, 0.0, 1.0],
[0.0, 1.0, 0.0, 1.0],
[0.0, 0.0, 1.0, 1.0],
[0.0, 1.0, 1.0, 1.0],
[1.0, 0.0, 1.0, 1.0],
[0.0, 0.501960813999176, 0.0, 1.0],
[1.0, 1.0, 0.0, 1.0],
[1.0, 1.0, 1.0, 1.0],
[0.501960813999176, 0.0, 0.501960813999176, 1.0],
[1.0, 0.6470588445663452, 0.0, 1.0],
]
)
TRUTH_CMAPS = {
"jet": np.array(
[
[0.0, 0.0, 0.5, 1.0],
[0.0, 0.0, 0.99910873, 1.0],
[0.0, 0.37843138, 1.0, 1.0],
[0.0, 0.8333333, 1.0, 1.0],
[0.30044276, 1.0, 0.66729915, 1.0],
[0.65464896, 1.0, 0.31309298, 1.0],
[1.0, 0.90123457, 0.0, 1.0],
[1.0, 0.4945534, 0.0, 1.0],
[1.0, 0.08787218, 0.0, 1.0],
[0.5, 0.0, 0.0, 1.0],
],
dtype=np.float32,
),
"viridis": np.array(
[
[0.267004, 0.004874, 0.329415, 1.0],
[0.281412, 0.155834, 0.469201, 1.0],
[0.244972, 0.287675, 0.53726, 1.0],
[0.190631, 0.407061, 0.556089, 1.0],
[0.147607, 0.511733, 0.557049, 1.0],
[0.119483, 0.614817, 0.537692, 1.0],
[0.20803, 0.718701, 0.472873, 1.0],
[0.421908, 0.805774, 0.35191, 1.0],
[0.699415, 0.867117, 0.175971, 1.0],
[0.993248, 0.906157, 0.143936, 1.0],
],
dtype=np.float32,
),
}