1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
|
"""Sparse Bit Set encoding/decoding for IFT (Incremental Font Transfer).
Implements the sparse bit set format defined in the W3C IFT specification:
https://w3c.github.io/IFT/Overview.html#sparse-bit-set-decoding
"""
# Reference: https://github.com/googlefonts/fontations/blob/main/read-fonts/src/collections/int_set/sparse_bit_set.rs
import bisect
from collections import deque
from typing import Dict, Iterable, Optional, Set, Tuple
# Maximum tree height that fits within a 32-bit leaf node for each branching factor.
_BF_MAX_HEIGHT: Dict[int, int] = {2: 31, 4: 16, 8: 11, 32: 7}
class SparseBitSetDecodeError(Exception):
pass
def decode(
data: bytes, bias: int = 0, maxValue: int = 0xFFFFFFFF
) -> Tuple[Set[int], int]:
"""Decode a sparse bit set from binary data.
Args:
data: bytes-like object containing the sparse bit set encoding.
bias: integer added to each decoded value.
Returns:
A tuple (values, bytesConsumed) where values is a set of integers
and bytesConsumed is the number of bytes read from data.
"""
if not data:
raise SparseBitSetDecodeError("Empty data")
branchFactor, height = _decodeHeader(data[0])
maxHeight = _BF_MAX_HEIGHT[branchFactor]
if height > maxHeight:
raise SparseBitSetDecodeError(
f"Height {height} exceeds max {maxHeight} for branch factor {branchFactor}"
)
return _decodeImpl(data, branchFactor, height, bias, maxValue)
def _decodeImpl(
data: bytes, branchFactor: int, height: int, bias: int, maxValue: int
) -> Tuple[Set[int], int]:
if height == 0:
# 1 byte was used for the header.
return (set(), 1)
bitStream = _InputBitStream(data, branchFactor)
result: Set[int] = set()
# Queue entries are (startValue, depth), where startValue is the first
# integer that could be covered by this node.
queue: deque[Tuple[int, int]] = deque()
queue.append((0, 1))
while queue:
start, depth = queue.popleft()
bits = bitStream.next()
if bits is None:
raise SparseBitSetDecodeError("Unexpected end of data")
# all bits were were zero which is a special command to completely fill
# in all integers covered by this node.
if bits == 0:
exp = height - depth + 1
nodeSize = branchFactor**exp
fillStart = start + bias
if fillStart > maxValue:
continue
fillEnd = min(maxValue, start + nodeSize - 1 + bias)
if fillStart < 0:
fillStart = 0
if fillStart <= fillEnd:
result.update(range(fillStart, fillEnd + 1))
continue
# Non-zero node: each set bit identifies a child/value.
exp = height - depth
nextNodeSize = branchFactor**exp
while True:
bitIndex = _trailingZeros(bits, 32)
if bitIndex == 32:
break
if depth == height:
val = start + bitIndex + bias
if val > maxValue:
queue.clear()
break
if val >= 0:
result.add(val)
else:
startDelta = bitIndex * nextNodeSize
queue.append((start + startDelta, depth + 1))
bits &= ~(1 << bitIndex)
return (result, bitStream.bytesConsumed())
def encode(values: Iterable[int]) -> bytes:
"""Encode a set of integers as a sparse bit set.
Tries all branching factors and returns the shortest encoding.
Args:
values: iterable of non-negative integers.
Returns:
bytes containing the sparse bit set encoding.
"""
valuesSorted = sorted(set(values))
if not valuesSorted:
return _encodeHeader(2, 0)
maxValue = valuesSorted[-1]
valueSet = set(valuesSorted)
best: Optional[bytes] = None
for branchFactor in (2, 4, 8, 32):
height = _treeHeight(branchFactor, maxValue)
if height > _BF_MAX_HEIGHT[branchFactor]:
continue
encoded = _encodeWithBf(valueSet, branchFactor, height)
if best is None or len(encoded) < len(best):
best = encoded
if best is None:
raise ValueError(f"Cannot encode max value {maxValue}")
return best
def _encodeHeader(branchFactor: int, height: int) -> bytes:
branchFactorToId = {2: 0, 4: 1, 8: 2, 32: 3}
return bytes([(height << 2) | branchFactorToId[branchFactor]])
def _decodeHeader(headerByte: int) -> Tuple[int, int]:
id = headerByte & 0x03
idToBranchFactor = {0: 2, 1: 4, 2: 8, 3: 32}
height = (headerByte >> 2) & 0x1F
return idToBranchFactor[id], height
def _treeHeight(branchFactor: int, maxValue: int) -> int:
"""Return the minimum tree height needed to represent maxValue."""
height = 1
capacity = branchFactor
while capacity <= maxValue:
capacity *= branchFactor
height += 1
return height
def _encodeWithBf(valueSet: Set[int], branchFactor: int, height: int) -> bytes:
if height == 0:
return _encodeHeader(branchFactor, 0)
# Build layers bottom-up: layer 0 = leaves (individual values),
# each higher layer groups bf children into one parent bitmask.
layers: list[Dict[int, int]] = [{}] # list of dicts: nodeIndex -> bitmask
for v in valueSet:
nodeIndex = v // branchFactor
bitPos = v % branchFactor
if nodeIndex not in layers[0]:
layers[0][nodeIndex] = 0
layers[0][nodeIndex] |= 1 << bitPos
for _ in range(1, height):
prevLayer = layers[-1]
newLayer: Dict[int, int] = {}
for nodeIndex, bitmask in prevLayer.items():
parentIndex = nodeIndex // branchFactor
bitPos = nodeIndex % branchFactor
if parentIndex not in newLayer:
newLayer[parentIndex] = 0
newLayer[parentIndex] |= 1 << bitPos
layers.append(newLayer)
# For zero-node optimization: track count of values in sorted list.
valuesSorted = sorted(valueSet)
def rangeCount(lo: int, hi: int) -> int:
return bisect.bisect_right(valuesSorted, hi) - bisect.bisect_left(
valuesSorted, lo
)
# Emit nodes BFS order (root to leaves).
# Queue entries: (nodeIndex, depthFromRoot, rangeStart, rangeEnd)
stream = _OutputBitStream(branchFactor)
subtreeSize = branchFactor**height
queue: deque[Tuple[int, int, int, int]] = deque([(0, 0, 0, subtreeSize - 1)])
while queue:
nodeIndex, depth, rangeStart, rangeEnd = queue.popleft()
layerIdx = height - 1 - depth # layers[0]=leaves, layers[height-1]=root
bitmask = (
layers[layerIdx].get(nodeIndex, 0) if 0 <= layerIdx < len(layers) else 0
)
# Zero-node optimization: if entire range is filled on an INTERNAL node,
# write 0 and skip children. At leaf level we always write the explicit
# bitmask so the encoding matches the reference.
if (
depth < height - 1
and rangeCount(rangeStart, rangeEnd) == rangeEnd - rangeStart + 1
):
stream.write(0)
continue
stream.write(bitmask)
if bitmask != 0 and depth < height - 1:
childSize = (rangeEnd - rangeStart + 1) // branchFactor
bits = bitmask
while bits:
bitIndex = _trailingZeros(bits, 32)
childIndex = nodeIndex * branchFactor + bitIndex
childStart = rangeStart + bitIndex * childSize
childEnd = childStart + childSize - 1
queue.append((childIndex, depth + 1, childStart, childEnd))
bits &= ~(1 << bitIndex)
return _encodeHeader(branchFactor, height) + stream.toBytes()
def _trailingZeros(val: int, maxBits: int) -> int:
if val == 0:
return maxBits
count = 0
while (val & 1) == 0:
val >>= 1
count += 1
return count
class _InputBitStream:
"""Reads bit nodes from a byte array, starting after the header byte."""
def __init__(self, data: bytes, branchFactor: int):
self.data = data
self.branchFactor = branchFactor
self.byteIndex = 1 # skip the header byte
self.subIndex = 0 # bit offset within current byte (for bf=2,4)
def next(self) -> Optional[int]:
if self.branchFactor in (2, 4):
if self.byteIndex >= len(self.data):
return None
mask = (1 << self.branchFactor) - 1
val = (self.data[self.byteIndex] >> self.subIndex) & mask
self.subIndex += self.branchFactor
if self.subIndex >= 8:
self.subIndex = 0
self.byteIndex += 1
return val
elif self.branchFactor == 8:
if self.byteIndex >= len(self.data):
return None
val = self.data[self.byteIndex]
self.byteIndex += 1
return val
elif self.branchFactor == 32:
if self.byteIndex + 3 >= len(self.data):
return None
b = self.data
i = self.byteIndex
val = b[i] | (b[i + 1] << 8) | (b[i + 2] << 16) | (b[i + 3] << 24)
self.byteIndex += 4
return val
return None
def bytesConsumed(self) -> int:
return self.byteIndex + (1 if self.subIndex > 0 else 0)
class _OutputBitStream:
"""Writes bit nodes into a byte array."""
def __init__(self, branchFactor: int):
self.branchFactor = branchFactor
self.data = bytearray()
self.subIndex = 0 # bit offset within current byte (for bf=2,4)
def write(self, value: int) -> None:
if self.branchFactor in (2, 4):
mask = (1 << self.branchFactor) - 1
value &= mask
if self.subIndex == 0:
self.data.append(0)
self.data[-1] |= value << self.subIndex
self.subIndex += self.branchFactor
if self.subIndex >= 8:
self.subIndex = 0
elif self.branchFactor == 8:
self.data.append(value & 0xFF)
elif self.branchFactor == 32:
self.data.append(value & 0xFF)
self.data.append((value >> 8) & 0xFF)
self.data.append((value >> 16) & 0xFF)
self.data.append((value >> 24) & 0xFF)
def toBytes(self) -> bytes:
return bytes(self.data)
|