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ipmap
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compare: lily:f92a1217583e3dea919a4143cb103cb954f1ce94
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2 changed files with 10 additions and 8 deletions
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16
ipmap.py
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@ -21,7 +21,7 @@ import numpy as np
ip_bytes = 4 ip_bytes = 4
ip_bits = ip_bytes * 8 ip_bits = ip_bytes * 8
num_ips = 1 << ip_bits num_ips = 1 << ip_bits
num_ips_sqrt = 1 << (ip_bits >> 1) num_ips_sqrt = 1 << ip_bits // 2
def make_coord_range(start: int, end: int): def make_coord_range(start: int, end: int):
return decode(np.arange(start, end, dtype = np.uint32), num_dims = 2, num_bits = 16).astype(np.uint16) return decode(np.arange(start, end, dtype = np.uint32), num_dims = 2, num_bits = 16).astype(np.uint16)
@ -239,7 +239,7 @@ def make_tiles(coords_path: Path, input_path: Path, tiles_dir: Path, *,
def squish(): def squish():
nonlocal density_data nonlocal density_data
nonlocal possible_overlaps nonlocal possible_overlaps
density_data = np.swapaxes(density_data.reshape(density_data.shape[0] >> 1, 2, density_data.shape[1] >> 1, 2), 1, 2) density_data = np.swapaxes(density_data.reshape(density_data.shape[0] // 2, 2, density_data.shape[1] // 2, 2), 1, 2)
print("calculating density sum...", end = " ", flush = True) print("calculating density sum...", end = " ", flush = True)
density_data[:, :, 0, 0] += density_data[:, :, 0, 1] density_data[:, :, 0, 0] += density_data[:, :, 0, 1]
density_data[:, :, 0, 0] += density_data[:, :, 1, 0] density_data[:, :, 0, 0] += density_data[:, :, 1, 0]
@ -293,7 +293,7 @@ def make_tiles(coords_path: Path, input_path: Path, tiles_dir: Path, *,
def squish(): def squish():
nonlocal rtt_data nonlocal rtt_data
print(f"sorting rtt values for median calculation...", end = " ", flush = True) print(f"sorting rtt values for median calculation...", end = " ", flush = True)
rtt_data = np.swapaxes(rtt_data.reshape(rtt_data.shape[0] >> 1, 2, rtt_data.shape[1] >> 1, 2), 1, 2) rtt_data = np.swapaxes(rtt_data.reshape(rtt_data.shape[0] // 2, 2, rtt_data.shape[1] // 2, 2), 1, 2)
mask = np.empty((rtt_data.shape[0], rtt_data.shape[1]), dtype = np.bool_) mask = np.empty((rtt_data.shape[0], rtt_data.shape[1]), dtype = np.bool_)
np.less(rtt_data[:, :, 0, 0], rtt_data[:, :, 0, 1], out = mask) # sort first row np.less(rtt_data[:, :, 0, 0], rtt_data[:, :, 0, 1], out = mask) # sort first row
rtt_data[mask, 0] = rtt_data[mask, 0, ::-1] rtt_data[mask, 0] = rtt_data[mask, 0, ::-1]
@ -310,15 +310,15 @@ def make_tiles(coords_path: Path, input_path: Path, tiles_dir: Path, *,
print("calculating median rtt values...", end = " ", flush = True) print("calculating median rtt values...", end = " ", flush = True)
mask2 = np.empty((rtt_data.shape[0], rtt_data.shape[1]), dtype = np.bool_) # need second mask for binary ops mask2 = np.empty((rtt_data.shape[0], rtt_data.shape[1]), dtype = np.bool_) # need second mask for binary ops
np.not_equal(rtt_data[:, :, 1, 1], 0, out = mask) # four nums populated np.not_equal(rtt_data[:, :, 1, 1], 0, out = mask) # four nums populated
rtt_data[mask, 0, 1] //= 2
rtt_data[mask, 1, 0] //= 2
rtt_data[mask, 0, 0] = rtt_data[mask, 0, 1] rtt_data[mask, 0, 0] = rtt_data[mask, 0, 1]
rtt_data[mask, 0, 0] -= rtt_data[mask, 1, 0]
rtt_data[mask, 0, 0] >>= 1
rtt_data[mask, 0, 0] += rtt_data[mask, 1, 0] # take average of middle two nums rtt_data[mask, 0, 0] += rtt_data[mask, 1, 0] # take average of middle two nums
np.logical_and(np.not_equal(rtt_data[:, :, 1, 0], 0, out = mask), np.equal(rtt_data[:, :, 1, 1], 0, out = mask2), out = mask) # three nums populated np.logical_and(np.not_equal(rtt_data[:, :, 1, 0], 0, out = mask), np.equal(rtt_data[:, :, 1, 1], 0, out = mask2), out = mask) # three nums populated
rtt_data[mask, 0, 0] = rtt_data[mask, 0, 1] # take middle of three nums rtt_data[mask, 0, 0] = rtt_data[mask, 0, 1] # take middle of three nums
np.logical_and(np.not_equal(rtt_data[:, :, 0, 1], 0, out = mask), np.equal(rtt_data[:, :, 1, 0], 0, out = mask2), out = mask) # two nums populated np.logical_and(np.not_equal(rtt_data[:, :, 0, 1], 0, out = mask), np.equal(rtt_data[:, :, 1, 0], 0, out = mask2), out = mask) # two nums populated
rtt_data[mask, 0, 0] -= rtt_data[mask, 0, 1] rtt_data[mask, 0, 0] //= 2
rtt_data[mask, 0, 0] >>= 1 rtt_data[mask, 0, 1] //= 2
rtt_data[mask, 0, 0] += rtt_data[mask, 0, 1] # take average of first two nums rtt_data[mask, 0, 0] += rtt_data[mask, 0, 1] # take average of first two nums
# everything else (1 or 0 nums populated) don't need any modifications # everything else (1 or 0 nums populated) don't need any modifications
print("done") print("done")
@ -330,6 +330,8 @@ def make_tiles(coords_path: Path, input_path: Path, tiles_dir: Path, *,
for _ in range(skip_iters): for _ in range(skip_iters):
squish() squish()
def write_all_colormaps(): def write_all_colormaps():
if raws_path is not None: if raws_path is not None:
create_tiles(raws_path / variant_name, rtt_data.view(np.uint8).reshape(rtt_data.shape[0], rtt_data.shape[1], 4)) create_tiles(raws_path / variant_name, rtt_data.view(np.uint8).reshape(rtt_data.shape[0], rtt_data.shape[1], 4))

2
public/index.html
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@ -230,7 +230,7 @@
} }
const apiUrl = "https://ipapi.7circles.moe" const apiUrl = "https://ipapi.7circles.moe"
const defaultVariant = "density" const defaultVariant = "rtt"
const defaultColormap = "viridis" const defaultColormap = "viridis"
const tileSize = 256 const tileSize = 256
const tilesDir = "assets/tiles" const tilesDir = "assets/tiles"