Auto merge of #33098 - raphlinus:master, r=alexcrichton

Efficient trie lookup for boolean Unicode properties

Replace binary search of ranges with trie lookup using leaves of
64-bit bitmap chunks. Benchmarks suggest this is approximately 10x
faster than the bsearch approach.
This commit is contained in:
bors 2016-05-23 02:48:11 -07:00
commit 4c6b6c200b
2 changed files with 1383 additions and 1134 deletions

View File

@ -25,6 +25,9 @@
import fileinput, re, os, sys, operator
bytes_old = 0
bytes_new = 0
preamble = '''// Copyright 2012-2015 The Rust Project Developers. See the COPYRIGHT
// file at the top-level directory of this distribution and at
// http://rust-lang.org/COPYRIGHT.
@ -307,12 +310,137 @@ def emit_table(f, name, t_data, t_type = "&'static [(char, char)]", is_pub=True,
format_table_content(f, data, 8)
f.write("\n ];\n\n")
def emit_trie_lookup_range_table(f):
f.write("""
// BoolTrie is a trie for representing a set of Unicode codepoints. It is
// implemented with postfix compression (sharing of identical child nodes),
// which gives both compact size and fast lookup.
//
// The space of Unicode codepoints is divided into 3 subareas, each
// represented by a trie with different depth. In the first (0..0x800), there
// is no trie structure at all; each u64 entry corresponds to a bitvector
// effectively holding 64 bool values.
//
// In the second (0x800..0x10000), each child of the root node represents a
// 64-wide subrange, but instead of storing the full 64-bit value of the leaf,
// the trie stores an 8-bit index into a shared table of leaf values. This
// exploits the fact that in reasonable sets, many such leaves can be shared.
//
// In the third (0x10000..0x110000), each child of the root node represents a
// 4096-wide subrange, and the trie stores an 8-bit index into a 64-byte slice
// of a child tree. Each of these 64 bytes represents an index into the table
// of shared 64-bit leaf values. This exploits the sparse structure in the
// non-BMP range of most Unicode sets.
pub struct BoolTrie {
// 0..0x800 (corresponding to 1 and 2 byte utf-8 sequences)
r1: [u64; 32], // leaves
// 0x800..0x10000 (corresponding to 3 byte utf-8 sequences)
r2: [u8; 992], // first level
r3: &'static [u64], // leaves
// 0x10000..0x110000 (corresponding to 4 byte utf-8 sequences)
r4: [u8; 256], // first level
r5: &'static [u8], // second level
r6: &'static [u64], // leaves
}
fn trie_range_leaf(c: usize, bitmap_chunk: u64) -> bool {
((bitmap_chunk >> (c & 63)) & 1) != 0
}
fn trie_lookup_range_table(c: char, r: &'static BoolTrie) -> bool {
let c = c as usize;
if c < 0x800 {
trie_range_leaf(c, r.r1[c >> 6])
} else if c < 0x10000 {
let child = r.r2[(c >> 6) - 0x20];
trie_range_leaf(c, r.r3[child as usize])
} else {
let child = r.r4[(c >> 12) - 0x10];
let leaf = r.r5[((child as usize) << 6) + ((c >> 6) & 0x3f)];
trie_range_leaf(c, r.r6[leaf as usize])
}
}\n
""")
def compute_trie(rawdata, chunksize):
root = []
childmap = {}
child_data = []
for i in range(len(rawdata) / chunksize):
data = rawdata[i * chunksize: (i + 1) * chunksize]
child = '|'.join(map(str, data))
if child not in childmap:
childmap[child] = len(childmap)
child_data.extend(data)
root.append(childmap[child])
return (root, child_data)
def emit_bool_trie(f, name, t_data, is_pub=True):
global bytes_old, bytes_new
bytes_old += 8 * len(t_data)
CHUNK = 64
rawdata = [False] * 0x110000;
for (lo, hi) in t_data:
for cp in range(lo, hi + 1):
rawdata[cp] = True
# convert to bitmap chunks of 64 bits each
chunks = []
for i in range(0x110000 / CHUNK):
chunk = 0
for j in range(64):
if rawdata[i * 64 + j]:
chunk |= 1 << j
chunks.append(chunk)
pub_string = ""
if is_pub:
pub_string = "pub "
f.write(" %sconst %s: &'static super::BoolTrie = &super::BoolTrie {\n" % (pub_string, name))
f.write(" r1: [\n")
data = ','.join('0x%016x' % chunk for chunk in chunks[0:0x800 / CHUNK])
format_table_content(f, data, 12)
f.write("\n ],\n")
# 0x800..0x10000 trie
(r2, r3) = compute_trie(chunks[0x800 / CHUNK : 0x10000 / CHUNK], 64 / CHUNK)
f.write(" r2: [\n")
data = ','.join(str(node) for node in r2)
format_table_content(f, data, 12)
f.write("\n ],\n")
f.write(" r3: &[\n")
data = ','.join('0x%016x' % chunk for chunk in r3)
format_table_content(f, data, 12)
f.write("\n ],\n")
# 0x10000..0x110000 trie
(mid, r6) = compute_trie(chunks[0x10000 / CHUNK : 0x110000 / CHUNK], 64 / CHUNK)
(r4, r5) = compute_trie(mid, 64)
f.write(" r4: [\n")
data = ','.join(str(node) for node in r4)
format_table_content(f, data, 12)
f.write("\n ],\n")
f.write(" r5: &[\n")
data = ','.join(str(node) for node in r5)
format_table_content(f, data, 12)
f.write("\n ],\n")
f.write(" r6: &[\n")
data = ','.join('0x%016x' % chunk for chunk in r6)
format_table_content(f, data, 12)
f.write("\n ],\n")
f.write(" };\n\n")
bytes_new += 256 + 992 + 256 + 8 * len(r3) + len(r5) + 8 * len(r6)
def emit_property_module(f, mod, tbl, emit):
f.write("pub mod %s {\n" % mod)
for cat in sorted(emit):
emit_table(f, "%s_table" % cat, tbl[cat])
emit_bool_trie(f, "%s_table" % cat, tbl[cat])
f.write(" pub fn %s(c: char) -> bool {\n" % cat)
f.write(" super::bsearch_range_table(c, %s_table)\n" % cat)
f.write(" super::trie_lookup_range_table(c, %s_table)\n" % cat)
f.write(" }\n\n")
f.write("}\n\n")
@ -402,8 +530,9 @@ pub const UNICODE_VERSION: (u64, u64, u64) = (%s, %s, %s);
norm_props = load_properties("DerivedNormalizationProps.txt",
["Full_Composition_Exclusion"])
# bsearch_range_table is used in all the property modules below
emit_bsearch_range_table(rf)
# trie_lookup_table is used in all the property modules below
emit_trie_lookup_range_table(rf)
# emit_bsearch_range_table(rf)
# category tables
for (name, cat, pfuns) in ("general_category", gencats, ["N", "Cc"]), \
@ -414,3 +543,4 @@ pub const UNICODE_VERSION: (u64, u64, u64) = (%s, %s, %s);
# normalizations and conversions module
emit_norm_module(rf, canon_decomp, compat_decomp, combines, norm_props)
emit_conversions_module(rf, to_upper, to_lower, to_title)
#print 'bytes before = %d, bytes after = %d' % (bytes_old, bytes_new)

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