503 lines
16 KiB
Python

import os
from fontTools.misc.py23 import BytesIO
from fontTools.misc.psCharStrings import T2CharString, T2OutlineExtractor
from fontTools.pens.t2CharStringPen import T2CharStringPen, t2c_round
from fontTools.cffLib import (
maxStackLimit,
TopDictIndex,
buildOrder,
topDictOperators,
topDictOperators2,
privateDictOperators,
privateDictOperators2,
FDArrayIndex,
FontDict,
VarStoreData
)
from fontTools.cffLib.specializer import (commandsToProgram, specializeCommands)
from fontTools.ttLib import newTable
from fontTools import varLib
from fontTools.varLib.models import allEqual
def addCFFVarStore(varFont, varModel):
supports = varModel.supports[1:]
fvarTable = varFont['fvar']
axisKeys = [axis.axisTag for axis in fvarTable.axes]
varTupleList = varLib.builder.buildVarRegionList(supports, axisKeys)
varTupleIndexes = list(range(len(supports)))
varDeltasCFFV = varLib.builder.buildVarData(varTupleIndexes, None, False)
varStoreCFFV = varLib.builder.buildVarStore(varTupleList, [varDeltasCFFV])
topDict = varFont['CFF2'].cff.topDictIndex[0]
topDict.VarStore = VarStoreData(otVarStore=varStoreCFFV)
def lib_convertCFFToCFF2(cff, otFont):
# This assumes a decompiled CFF table.
cff2GetGlyphOrder = cff.otFont.getGlyphOrder
topDictData = TopDictIndex(None, cff2GetGlyphOrder, None)
topDictData.items = cff.topDictIndex.items
cff.topDictIndex = topDictData
topDict = topDictData[0]
if hasattr(topDict, 'Private'):
privateDict = topDict.Private
else:
privateDict = None
opOrder = buildOrder(topDictOperators2)
topDict.order = opOrder
topDict.cff2GetGlyphOrder = cff2GetGlyphOrder
if not hasattr(topDict, "FDArray"):
fdArray = topDict.FDArray = FDArrayIndex()
fdArray.strings = None
fdArray.GlobalSubrs = topDict.GlobalSubrs
topDict.GlobalSubrs.fdArray = fdArray
charStrings = topDict.CharStrings
if charStrings.charStringsAreIndexed:
charStrings.charStringsIndex.fdArray = fdArray
else:
charStrings.fdArray = fdArray
fontDict = FontDict()
fontDict.setCFF2(True)
fdArray.append(fontDict)
fontDict.Private = privateDict
privateOpOrder = buildOrder(privateDictOperators2)
for entry in privateDictOperators:
key = entry[1]
if key not in privateOpOrder:
if key in privateDict.rawDict:
# print "Removing private dict", key
del privateDict.rawDict[key]
if hasattr(privateDict, key):
delattr(privateDict, key)
# print "Removing privateDict attr", key
else:
# clean up the PrivateDicts in the fdArray
fdArray = topDict.FDArray
privateOpOrder = buildOrder(privateDictOperators2)
for fontDict in fdArray:
fontDict.setCFF2(True)
for key in list(fontDict.rawDict.keys()):
if key not in fontDict.order:
del fontDict.rawDict[key]
if hasattr(fontDict, key):
delattr(fontDict, key)
privateDict = fontDict.Private
for entry in privateDictOperators:
key = entry[1]
if key not in privateOpOrder:
if key in privateDict.rawDict:
# print "Removing private dict", key
del privateDict.rawDict[key]
if hasattr(privateDict, key):
delattr(privateDict, key)
# print "Removing privateDict attr", key
# Now delete up the decrecated topDict operators from CFF 1.0
for entry in topDictOperators:
key = entry[1]
if key not in opOrder:
if key in topDict.rawDict:
del topDict.rawDict[key]
if hasattr(topDict, key):
delattr(topDict, key)
# At this point, the Subrs and Charstrings are all still T2Charstring class
# easiest to fix this by compiling, then decompiling again
cff.major = 2
file = BytesIO()
cff.compile(file, otFont, isCFF2=True)
file.seek(0)
cff.decompile(file, otFont, isCFF2=True)
def convertCFFtoCFF2(varFont):
# Convert base font to a single master CFF2 font.
cffTable = varFont['CFF ']
lib_convertCFFToCFF2(cffTable.cff, varFont)
newCFF2 = newTable("CFF2")
newCFF2.cff = cffTable.cff
varFont['CFF2'] = newCFF2
del varFont['CFF ']
class MergeDictError(TypeError):
def __init__(self, key, value, values):
error_msg = ["For the Private Dict key '{}', ".format(key),
"the default font value list:",
"\t{}".format(value),
"had a different number of values than a region font:"]
error_msg += ["\t{}".format(region_value) for region_value in values]
error_msg = os.linesep.join(error_msg)
def conv_to_int(num):
if num % 1 == 0:
return int(num)
return num
pd_blend_fields = ("BlueValues", "OtherBlues", "FamilyBlues",
"FamilyOtherBlues", "BlueScale", "BlueShift",
"BlueFuzz", "StdHW", "StdVW", "StemSnapH",
"StemSnapV")
def merge_PrivateDicts(topDict, region_top_dicts, num_masters, var_model):
if hasattr(region_top_dicts[0], 'FDArray'):
regionFDArrays = [fdTopDict.FDArray for fdTopDict in region_top_dicts]
else:
regionFDArrays = [[fdTopDict] for fdTopDict in region_top_dicts]
for fd_index, font_dict in enumerate(topDict.FDArray):
private_dict = font_dict.Private
pds = [private_dict] + [
regionFDArray[fd_index].Private for regionFDArray in regionFDArrays
]
for key, value in private_dict.rawDict.items():
if key not in pd_blend_fields:
continue
if isinstance(value, list):
try:
values = [pd.rawDict[key] for pd in pds]
except KeyError:
del private_dict.rawDict[key]
print(
b"Warning: {key} in default font Private dict is "
b"missing from another font, and was "
b"discarded.".format(key=key))
continue
try:
values = zip(*values)
except IndexError:
raise MergeDictError(key, value, values)
"""
Row 0 contains the first value from each master.
Convert each row from absolute values to relative
values from the previous row.
e.g for three masters, a list of values was:
master 0 OtherBlues = [-217,-205]
master 1 OtherBlues = [-234,-222]
master 1 OtherBlues = [-188,-176]
The call to zip() converts this to:
[(-217, -234, -188), (-205, -222, -176)]
and is converted finally to:
OtherBlues = [[-217, 17.0, 46.0], [-205, 0.0, 0.0]]
"""
dataList = []
prev_val_list = [0] * num_masters
any_points_differ = False
for val_list in values:
rel_list = [(val - prev_val_list[i]) for (
i, val) in enumerate(val_list)]
if (not any_points_differ) and not allEqual(rel_list):
any_points_differ = True
prev_val_list = val_list
deltas = var_model.getDeltas(rel_list)
# Convert numbers with no decimal part to an int.
deltas = [conv_to_int(delta) for delta in deltas]
# For PrivateDict BlueValues, the default font
# values are absolute, not relative to the prior value.
deltas[0] = val_list[0]
dataList.append(deltas)
# If there are no blend values,then
# we can collapse the blend lists.
if not any_points_differ:
dataList = [data[0] for data in dataList]
else:
values = [pd.rawDict[key] for pd in pds]
if not allEqual(values):
dataList = var_model.getDeltas(values)
else:
dataList = values[0]
private_dict.rawDict[key] = dataList
def merge_region_fonts(varFont, model, ordered_fonts_list, glyphOrder):
topDict = varFont['CFF2'].cff.topDictIndex[0]
default_charstrings = topDict.CharStrings
region_fonts = ordered_fonts_list[1:]
region_top_dicts = [
ttFont['CFF '].cff.topDictIndex[0] for ttFont in region_fonts
]
num_masters = len(model.mapping)
merge_PrivateDicts(topDict, region_top_dicts, num_masters, model)
merge_charstrings(default_charstrings,
glyphOrder,
num_masters,
region_top_dicts, model)
def merge_charstrings(default_charstrings,
glyphOrder,
num_masters,
region_top_dicts,
var_model):
for gname in glyphOrder:
default_charstring = default_charstrings[gname]
var_pen = CFF2CharStringMergePen([], gname, num_masters, 0)
default_charstring.outlineExtractor = CFFToCFF2OutlineExtractor
default_charstring.draw(var_pen)
for region_idx, region_td in enumerate(region_top_dicts, start=1):
region_charstrings = region_td.CharStrings
region_charstring = region_charstrings[gname]
var_pen.restart(region_idx)
region_charstring.draw(var_pen)
new_charstring = var_pen.getCharString(
private=default_charstring.private,
globalSubrs=default_charstring.globalSubrs,
var_model=var_model, optimize=True)
default_charstrings[gname] = new_charstring
class MergeTypeError(TypeError):
def __init__(self, point_type, pt_index, m_index, default_type, glyphName):
self.error_msg = [
"In glyph '{gname}' "
"'{point_type}' at point index {pt_index} in master "
"index {m_index} differs from the default font point "
"type '{default_type}'"
"".format(gname=glyphName,
point_type=point_type, pt_index=pt_index,
m_index=m_index, default_type=default_type)
][0]
super(MergeTypeError, self).__init__(self.error_msg)
def makeRoundNumberFunc(tolerance):
if tolerance < 0:
raise ValueError("Rounding tolerance must be positive")
def roundNumber(val):
return t2c_round(val, tolerance)
return roundNumber
class CFFToCFF2OutlineExtractor(T2OutlineExtractor):
""" This class is used to remove the initial width
from the CFF charstring without adding the width
to self.nominalWidthX, which is None.
"""
def popallWidth(self, evenOdd=0):
args = self.popall()
if not self.gotWidth:
if evenOdd ^ (len(args) % 2):
args = args[1:]
self.width = self.defaultWidthX
self.gotWidth = 1
return args
class CFF2CharStringMergePen(T2CharStringPen):
"""Pen to merge Type 2 CharStrings.
"""
def __init__(self, default_commands,
glyphName, num_masters, master_idx, roundTolerance=0.5):
super(
CFF2CharStringMergePen,
self).__init__(width=None,
glyphSet=None, CFF2=True,
roundTolerance=roundTolerance)
self.pt_index = 0
self._commands = default_commands
self.m_index = master_idx
self.num_masters = num_masters
self.prev_move_idx = 0
self.glyphName = glyphName
self.roundNumber = makeRoundNumberFunc(roundTolerance)
def _p(self, pt):
""" Unlike T2CharstringPen, this class stores absolute values.
This is to allow the logic in check_and_fix_closepath() to work,
where the current or previous absolute point has to be compared to
the path start-point.
"""
self._p0 = pt
return list(self._p0)
def add_point(self, point_type, pt_coords):
if self.m_index == 0:
self._commands.append([point_type, [pt_coords]])
else:
cmd = self._commands[self.pt_index]
if cmd[0] != point_type:
# Fix some issues that show up in some
# CFF workflows, even when fonts are
# topologically merge compatible.
success, pt_coords = self.check_and_fix_flat_curve(
cmd, point_type, pt_coords)
if not success:
success = self.check_and_fix_closepath(
cmd, point_type, pt_coords)
if success:
# We may have incremented self.pt_index
cmd = self._commands[self.pt_index]
if cmd[0] != point_type:
success = False
if not success:
raise MergeTypeError(point_type,
self.pt_index, len(cmd[1]),
cmd[0], self.glyphName)
cmd[1].append(pt_coords)
self.pt_index += 1
def _moveTo(self, pt):
pt_coords = self._p(pt)
self.add_point('rmoveto', pt_coords)
# I set prev_move_idx here because add_point()
# can change self.pt_index.
self.prev_move_idx = self.pt_index - 1
def _lineTo(self, pt):
pt_coords = self._p(pt)
self.add_point('rlineto', pt_coords)
def _curveToOne(self, pt1, pt2, pt3):
_p = self._p
pt_coords = _p(pt1)+_p(pt2)+_p(pt3)
self.add_point('rrcurveto', pt_coords)
def _closePath(self):
pass
def _endPath(self):
pass
def restart(self, region_idx):
self.pt_index = 0
self.m_index = region_idx
self._p0 = (0, 0)
def getCommands(self):
return self._commands
def reorder_blend_args(self, commands):
"""
We first re-order the master coordinate values.
For a moveto to lineto, the args are now arranged as:
[ [master_0 x,y], [master_1 x,y], [master_2 x,y] ]
We re-arrange this to
[ [master_0 x, master_1 x, master_2 x],
[master_0 y, master_1 y, master_2 y]
]
We also make the value relative.
If the master values are all the same, we collapse the list to
as single value instead of a list.
"""
for cmd in commands:
# arg[i] is the set of arguments for this operator from master i.
args = cmd[1]
m_args = zip(*args)
# m_args[n] is now all num_master args for the i'th argument
# for this operation.
cmd[1] = m_args
# Now convert from absolute to relative
x0 = [0]*self.num_masters
y0 = [0]*self.num_masters
for cmd in self._commands:
is_x = True
coords = cmd[1]
rel_coords = []
for coord in coords:
prev_coord = x0 if is_x else y0
rel_coord = [pt[0] - pt[1] for pt in zip(coord, prev_coord)]
if allEqual(rel_coord):
rel_coord = rel_coord[0]
rel_coords.append(rel_coord)
if is_x:
x0 = coord
else:
y0 = coord
is_x = not is_x
cmd[1] = rel_coords
return commands
@staticmethod
def mergeCommandsToProgram(commands, var_model, round_func):
"""
Takes a commands list as returned by programToCommands() and
converts it back to a T2CharString or CFF2Charstring program list. I
need to use this rather than specialize.commandsToProgram, as the
commands produced by CFF2CharStringMergePen initially contains a
list of coordinate values, one for each master, wherever a single
coordinate value is expected by the regular logic. The problem with
doing using the specialize.py functions is that a commands list is
expected to be a op name with its associated argument list. For the
commands list here, some of the arguments may need to be converted
to a new argument list and opcode.
This version will convert each list of master arguments to a blend
op and its arguments, and will also combine successive blend ops up
to the stack limit.
"""
program = []
for op, args in commands:
num_args = len(args)
# some of the args may be blend lists, and some may be
# single coordinate values.
i = 0
stack_use = 0
while i < num_args:
arg = args[i]
if not isinstance(arg, list):
program.append(arg)
i += 1
stack_use += 1
else:
prev_stack_use = stack_use
""" The arg is a tuple of blend values.
These are each (master 0,master 1..master n)
Combine as many successive tuples as we can,
up to the max stack limit.
"""
num_masters = len(arg)
blendlist = [arg]
i += 1
stack_use += 1 + num_masters # 1 for the num_blends arg
while (i < num_args) and isinstance(args[i], list):
blendlist.append(args[i])
i += 1
stack_use += num_masters
if stack_use + num_masters > maxStackLimit:
# if we are here, max stack is is the CFF2 max stack.
break
num_blends = len(blendlist)
# append the 'num_blends' default font values
for arg in blendlist:
if round_func:
arg[0] = round_func(arg[0])
program.append(arg[0])
for arg in blendlist:
# for each coordinate tuple, append the region deltas
if len(arg) != 3:
print(arg)
import pdb
pdb.set_trace()
deltas = var_model.getDeltas(arg)
if round_func:
deltas = [round_func(delta) for delta in deltas]
# First item in 'deltas' is the default master value;
# for CFF2 data, that has already been written.
program.extend(deltas[1:])
program.append(num_blends)
program.append('blend')
stack_use = prev_stack_use + num_blends
if op:
program.append(op)
return program
def getCharString(self, private=None, globalSubrs=None,
var_model=None, optimize=True):
commands = self._commands
commands = self.reorder_blend_args(commands)
if optimize:
commands = specializeCommands(commands, generalizeFirst=False,
maxstack=maxStackLimit)
program = self.mergeCommandsToProgram(commands, var_model=var_model,
round_func=self.roundNumber)
charString = T2CharString(program=program, private=private,
globalSubrs=globalSubrs)
return charString