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@jtanx
Created March 21, 2021 09:17
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3 vs 4-level lookup tables for unicode data
# Based on the algorithm in https://github.com/python/cpython/blob/master/Tools/unicode/makeunicodedata.py
import math
import sys
def getsize(data):
# return smallest possible integer size for the given array
maxdata = max(data)
if maxdata < 256:
return 1
elif maxdata < 65536:
return 2
else:
return 4
def splitbinso(t, trace=0):
"""t, trace=0 -> (t1, t2, shift). Split a table to save space.
t is a sequence of ints. This function can be useful to save space if
many of the ints are the same. t1 and t2 are lists of ints, and shift
is an int, chosen to minimize the combined size of t1 and t2 (in C
code), and where for each i in range(len(t)),
t[i] == t2[(t1[i >> shift] << shift) + (i & mask)]
where mask is a bitmask isolating the last "shift" bits.
If optional arg trace is non-zero (default zero), progress info
is printed to sys.stderr. The higher the value, the more info
you'll get.
"""
if trace:
def dump(t1, t2, shift, bytes):
print("%d+%d bins at shift %d; %d bytes" % (
len(t1), len(t2), shift, bytes), file=sys.stderr)
print("Size of original table:", len(t)*getsize(t), "bytes",
file=sys.stderr)
n = len(t)-1 # last valid index
maxshift = 0 # the most we can shift n and still have something left
if n > 0:
while n >> 1:
n >>= 1
maxshift += 1
del n
bytes = sys.maxsize # smallest total size so far
t = tuple(t) # so slices can be dict keys
for shift in range(maxshift + 1):
t1 = []
t2 = []
size = 2**shift
bincache = {}
for i in range(0, len(t), size):
bin = t[i:i+size]
index = bincache.get(bin)
if index is None:
index = len(t2)
bincache[bin] = index
t2.extend(bin)
t1.append(index >> shift)
# determine memory size
b = len(t1)*getsize(t1) + len(t2)*getsize(t2)
if trace > 1:
dump(t1, t2, shift, b)
if b < bytes:
best = t1, t2, shift
bytes = b
t1, t2, shift = best
if trace:
print("Best:", end=' ', file=sys.stderr)
dump(t1, t2, shift, bytes)
if __debug__:
# exhaustively verify that the decomposition is correct
mask = ~((~0) << shift) # i.e., low-bit mask of shift bits
for i in range(len(t)):
assert t[i] == t2[(t1[i >> shift] << shift) + (i & mask)]
return best
def splitbins(arr):
maxshift = max(math.frexp(len(arr)-1)[1] - 1, 0)
data = tuple(arr)
maxsize = sys.maxsize
best = None
for shift1 in range(maxshift + 1):
for shift2 in range(0, shift1 + 1):
t1, t2, t3 = [], [], []
size1 = 1 << shift1
size2 = 1 << shift2
mask1 = ~((~0)<<(shift1 - shift2))
mask2 = ~((~0)<<shift2)
t2cache, t3cache = {}, {}
# print("SHIFTS", shift1, shift2, "SIZES", size1, size2)
for k in range(0, len(data), size1):
# steps of A
indices = []
for l in range(0, size1, size2):
# steps of B
# print(" BIN SIZE", size2, k+l, k+l+size2)
bin = data[k+l:k+l+size2]
index = t3cache.get(bin)
if index is None:
index = len(t3)
t3cache[bin] = index
t3.extend(bin)
indices.append(index)
bin = tuple(indices)
# print(" INDICES", bin)
index = t2cache.get(bin)
if index is None:
index = len(t2)
t2cache[bin] = index
t2.extend(bin)
t1.append(index)
size = len(t1) * getsize(t1) + len(t2) * getsize(t2) + len(t3) * getsize(t3)
if size < maxsize:
maxsize = size
best = (shift1, shift2, t1, t2, t3)
for i in range(len(data)):
v = arr[i]
vv = t3[t2[t1[i >> shift1] + ((i >> shift2) & mask1)] + (i & mask2)]
if v != vv:
print("WTF", "Shifts", shift1, shift2, "At", i, "values", v, "vs", vv)
return None
print(shift1, shift2, len(t1), len(t2), len(t3), size)
print("MIN", maxsize, best[0], best[1])
return best
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