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use PCG in HilbertCurvesIndexing

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This commit is contained in:
Lukas Winkler 2022-10-27 16:34:11 +02:00
parent 1af06dcd2c
commit cfb23403f1
Signed by: lukas
GPG key ID: 54DE4D798D244853
1 changed files with 7 additions and 8 deletions
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15
HilbertCurvesIndexing.py
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@ -8,7 +8,7 @@ from pathlib import Path
import matplotlib.cm as cm
import matplotlib.pyplot as plt
import numpy as np
import siphash
from numpy.random import SeedSequence, Generator, PCG64
# dictionary containing the first order hilbert curves
from utils import figsize_from_page_fraction
@ -140,9 +140,6 @@ plt.ylabel("$y$")
plt.tight_layout()
plt.savefig(Path(f"~/tmp/hilbert_indexcolor.eps").expanduser())
key = b"0123456789ABCDEF"
num = 123
print(siphash.SipHash_2_4(key, bytes(num)).hash())
order = 6
curve = hilbert_curve(order, "u")
@ -157,22 +154,24 @@ sublevel = order - 4
cmap = cm.get_cmap("jet")
plt.figure()
key = b"0123456789ABCDEF"
s = 10 # arbitrary lenght of each sequence drawn for every point
fig = plt.figure(figsize=figsize_from_page_fraction(height_to_width=1))
t = {}
sublevel = 7
for i in range(2 ** (2 * sublevel)):
pcg = PCG64(1234)
pcg = pcg.advance(i * s)
rng = Generator(pcg)
il = i * N // (2 ** (2 * sublevel))
ir = (i + 1) * N // 2 ** (2 * sublevel)
sipkey = siphash.SipHash_2_4(key, bytes(il)).hash()
random_value = rng.random()
plt.plot(
cumulative_curve[il : ir + 1, 0],
cumulative_curve[il : ir + 1, 1],
lw=0.5,
c=cmap(sipkey / 2 ** 64),
c=cmap(random_value),
)
plt.xlabel("$x$")