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
|
# -*- coding: utf-8 -*-
"""T2CharString glyph width optimizer.
CFF glyphs whose width equals the CFF Private dictionary's ``defaultWidthX``
value do not need to specify their width in their charstring, saving bytes.
This module determines the optimum ``defaultWidthX`` and ``nominalWidthX``
values for a font, when provided with a list of glyph widths."""
from fontTools.ttLib import TTFont
from collections import defaultdict
from operator import add
from functools import reduce
class missingdict(dict):
def __init__(self, missing_func):
self.missing_func = missing_func
def __missing__(self, v):
return self.missing_func(v)
def cumSum(f, op=add, start=0, decreasing=False):
keys = sorted(f.keys())
minx, maxx = keys[0], keys[-1]
total = reduce(op, f.values(), start)
if decreasing:
missing = lambda x: start if x > maxx else total
domain = range(maxx, minx - 1, -1)
else:
missing = lambda x: start if x < minx else total
domain = range(minx, maxx + 1)
out = missingdict(missing)
v = start
for x in domain:
v = op(v, f[x])
out[x] = v
return out
def byteCost(widths, default, nominal):
if not hasattr(widths, "items"):
d = defaultdict(int)
for w in widths:
d[w] += 1
widths = d
cost = 0
for w, freq in widths.items():
if w == default:
continue
diff = abs(w - nominal)
if diff <= 107:
cost += freq
elif diff <= 1131:
cost += freq * 2
else:
cost += freq * 5
return cost
def optimizeWidthsBruteforce(widths):
"""Bruteforce version. Veeeeeeeeeeeeeeeeery slow. Only works for smallests of fonts."""
d = defaultdict(int)
for w in widths:
d[w] += 1
# Maximum number of bytes using default can possibly save
maxDefaultAdvantage = 5 * max(d.values())
minw, maxw = min(widths), max(widths)
domain = list(range(minw, maxw + 1))
bestCostWithoutDefault = min(byteCost(widths, None, nominal) for nominal in domain)
bestCost = len(widths) * 5 + 1
for nominal in domain:
if byteCost(widths, None, nominal) > bestCost + maxDefaultAdvantage:
continue
for default in domain:
cost = byteCost(widths, default, nominal)
if cost < bestCost:
bestCost = cost
bestDefault = default
bestNominal = nominal
return bestDefault, bestNominal
def optimizeWidths(widths):
"""Given a list of glyph widths, or dictionary mapping glyph width to number of
glyphs having that, returns a tuple of best CFF default and nominal glyph widths.
This algorithm is linear in UPEM+numGlyphs."""
if not hasattr(widths, "items"):
d = defaultdict(int)
for w in widths:
d[w] += 1
widths = d
keys = sorted(widths.keys())
minw, maxw = keys[0], keys[-1]
domain = list(range(minw, maxw + 1))
# Cumulative sum/max forward/backward.
cumFrqU = cumSum(widths, op=add)
cumMaxU = cumSum(widths, op=max)
cumFrqD = cumSum(widths, op=add, decreasing=True)
cumMaxD = cumSum(widths, op=max, decreasing=True)
# Cost per nominal choice, without default consideration.
nomnCostU = missingdict(
lambda x: cumFrqU[x] + cumFrqU[x - 108] + cumFrqU[x - 1132] * 3
)
nomnCostD = missingdict(
lambda x: cumFrqD[x] + cumFrqD[x + 108] + cumFrqD[x + 1132] * 3
)
nomnCost = missingdict(lambda x: nomnCostU[x] + nomnCostD[x] - widths[x])
# Cost-saving per nominal choice, by best default choice.
dfltCostU = missingdict(
lambda x: max(cumMaxU[x], cumMaxU[x - 108] * 2, cumMaxU[x - 1132] * 5)
)
dfltCostD = missingdict(
lambda x: max(cumMaxD[x], cumMaxD[x + 108] * 2, cumMaxD[x + 1132] * 5)
)
dfltCost = missingdict(lambda x: max(dfltCostU[x], dfltCostD[x]))
# Combined cost per nominal choice.
bestCost = missingdict(lambda x: nomnCost[x] - dfltCost[x])
# Best nominal.
nominal = min(domain, key=lambda x: bestCost[x])
# Work back the best default.
bestC = bestCost[nominal]
dfltC = nomnCost[nominal] - bestCost[nominal]
ends = []
if dfltC == dfltCostU[nominal]:
starts = [nominal, nominal - 108, nominal - 1132]
for start in starts:
while cumMaxU[start] and cumMaxU[start] == cumMaxU[start - 1]:
start -= 1
ends.append(start)
else:
starts = [nominal, nominal + 108, nominal + 1132]
for start in starts:
while cumMaxD[start] and cumMaxD[start] == cumMaxD[start + 1]:
start += 1
ends.append(start)
default = min(ends, key=lambda default: byteCost(widths, default, nominal))
return default, nominal
def main(args=None):
"""Calculate optimum defaultWidthX/nominalWidthX values"""
import argparse
parser = argparse.ArgumentParser(
"fonttools cffLib.width",
description=main.__doc__,
)
parser.add_argument(
"inputs", metavar="FILE", type=str, nargs="+", help="Input TTF files"
)
parser.add_argument(
"-b",
"--brute-force",
dest="brute",
action="store_true",
help="Use brute-force approach (VERY slow)",
)
args = parser.parse_args(args)
for fontfile in args.inputs:
font = TTFont(fontfile)
hmtx = font["hmtx"]
widths = [m[0] for m in hmtx.metrics.values()]
if args.brute:
default, nominal = optimizeWidthsBruteforce(widths)
else:
default, nominal = optimizeWidths(widths)
print(
"glyphs=%d default=%d nominal=%d byteCost=%d"
% (len(widths), default, nominal, byteCost(widths, default, nominal))
)
if __name__ == "__main__":
import sys
if len(sys.argv) == 1:
import doctest
sys.exit(doctest.testmod().failed)
main()
|