from collections import namedtuple
from fontTools.cffLib import (
maxStackLimit,
TopDictIndex,
buildOrder,
topDictOperators,
topDictOperators2,
privateDictOperators,
privateDictOperators2,
FDArrayIndex,
FontDict,
VarStoreData,
)
from io import BytesIO
from fontTools.cffLib.specializer import specializeCommands, commandsToProgram
from fontTools.ttLib import newTable
from fontTools import varLib
from fontTools.varLib.models import allEqual
from fontTools.misc.loggingTools import deprecateFunction
from fontTools.misc.roundTools import roundFunc
from fontTools.misc.psCharStrings import T2CharString, T2OutlineExtractor
from fontTools.pens.t2CharStringPen import T2CharStringPen
from functools import partial
from .errors import (
VarLibCFFDictMergeError,
VarLibCFFPointTypeMergeError,
VarLibCFFHintTypeMergeError,
VarLibMergeError,
)
# Backwards compatibility
MergeDictError = VarLibCFFDictMergeError
MergeTypeError = VarLibCFFPointTypeMergeError
def addCFFVarStore(varFont, varModel, varDataList, masterSupports):
fvarTable = varFont["fvar"]
axisKeys = [axis.axisTag for axis in fvarTable.axes]
varTupleList = varLib.builder.buildVarRegionList(masterSupports, axisKeys)
varStoreCFFV = varLib.builder.buildVarStore(varTupleList, varDataList)
topDict = varFont["CFF2"].cff.topDictIndex[0]
topDict.VarStore = VarStoreData(otVarStore=varStoreCFFV)
if topDict.FDArray[0].vstore is None:
fdArray = topDict.FDArray
for fontDict in fdArray:
if hasattr(fontDict, "Private"):
fontDict.Private.vstore = topDict.VarStore
@deprecateFunction("Use fontTools.cffLib.CFFToCFF2.convertCFFToCFF2 instead.")
def convertCFFtoCFF2(varFont):
from fontTools.cffLib.CFFToCFF2 import convertCFFToCFF2
return convertCFFToCFF2(varFont)
def conv_to_int(num):
if isinstance(num, float) and num.is_integer():
return int(num)
return num
pd_blend_fields = (
"BlueValues",
"OtherBlues",
"FamilyBlues",
"FamilyOtherBlues",
"BlueScale",
"BlueShift",
"BlueFuzz",
"StdHW",
"StdVW",
"StemSnapH",
"StemSnapV",
)
def get_private(regionFDArrays, fd_index, ri, fd_map):
region_fdArray = regionFDArrays[ri]
region_fd_map = fd_map[fd_index]
if ri in region_fd_map:
region_fdIndex = region_fd_map[ri]
private = region_fdArray[region_fdIndex].Private
else:
private = None
return private
def merge_PrivateDicts(top_dicts, vsindex_dict, var_model, fd_map):
"""
I step through the FontDicts in the FDArray of the varfont TopDict.
For each varfont FontDict:
* step through each key in FontDict.Private.
* For each key, step through each relevant source font Private dict, and
build a list of values to blend.
The 'relevant' source fonts are selected by first getting the right
submodel using ``vsindex_dict[vsindex]``. The indices of the
``subModel.locations`` are mapped to source font list indices by
assuming the latter order is the same as the order of the
``var_model.locations``. I can then get the index of each subModel
location in the list of ``var_model.locations``.
"""
topDict = top_dicts[0]
region_top_dicts = top_dicts[1:]
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
vsindex = getattr(private_dict, "vsindex", 0)
# At the moment, no PrivateDict has a vsindex key, but let's support
# how it should work. See comment at end of
# merge_charstrings() - still need to optimize use of vsindex.
sub_model, _ = vsindex_dict[vsindex]
master_indices = []
for loc in sub_model.locations[1:]:
i = var_model.locations.index(loc) - 1
master_indices.append(i)
pds = [private_dict]
last_pd = private_dict
for ri in master_indices:
pd = get_private(regionFDArrays, fd_index, ri, fd_map)
# If the region font doesn't have this FontDict, just reference
# the last one used.
if pd is None:
pd = last_pd
else:
last_pd = pd
pds.append(pd)
num_masters = len(pds)
for key, value in private_dict.rawDict.items():
dataList = []
if key not in pd_blend_fields:
continue
if isinstance(value, list):
try:
values = [pd.rawDict[key] for pd in pds]
except KeyError:
print(
"Warning: {key} in default font Private dict is "
"missing from another font, and was "
"discarded.".format(key=key)
)
continue
try:
values = zip(*values)
except IndexError:
raise VarLibCFFDictMergeError(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]]
"""
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 = sub_model.getDeltas(rel_list)
# 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 = sub_model.getDeltas(values)
else:
dataList = values[0]
# Convert numbers with no decimal part to an int
if isinstance(dataList, list):
for i, item in enumerate(dataList):
if isinstance(item, list):
for j, jtem in enumerate(item):
dataList[i][j] = conv_to_int(jtem)
else:
dataList[i] = conv_to_int(item)
else:
dataList = conv_to_int(dataList)
private_dict.rawDict[key] = dataList
def _cff_or_cff2(font):
if "CFF " in font:
return font["CFF "]
return font["CFF2"]
def getfd_map(varFont, fonts_list):
"""Since a subset source font may have fewer FontDicts in their
FDArray than the default font, we have to match up the FontDicts in
the different fonts . We do this with the FDSelect array, and by
assuming that the same glyph will reference matching FontDicts in
each source font. We return a mapping from fdIndex in the default
font to a dictionary which maps each master list index of each
region font to the equivalent fdIndex in the region font."""
fd_map = {}
default_font = fonts_list[0]
region_fonts = fonts_list[1:]
num_regions = len(region_fonts)
topDict = _cff_or_cff2(default_font).cff.topDictIndex[0]
if not hasattr(topDict, "FDSelect"):
# All glyphs reference only one FontDict.
# Map the FD index for regions to index 0.
fd_map[0] = {ri: 0 for ri in range(num_regions)}
return fd_map
gname_mapping = {}
default_fdSelect = topDict.FDSelect
glyphOrder = default_font.getGlyphOrder()
for gid, fdIndex in enumerate(default_fdSelect):
gname_mapping[glyphOrder[gid]] = fdIndex
if fdIndex not in fd_map:
fd_map[fdIndex] = {}
for ri, region_font in enumerate(region_fonts):
region_glyphOrder = region_font.getGlyphOrder()
region_topDict = _cff_or_cff2(region_font).cff.topDictIndex[0]
if not hasattr(region_topDict, "FDSelect"):
# All the glyphs share the same FontDict. Pick any glyph.
default_fdIndex = gname_mapping[region_glyphOrder[0]]
fd_map[default_fdIndex][ri] = 0
else:
region_fdSelect = region_topDict.FDSelect
for gid, fdIndex in enumerate(region_fdSelect):
default_fdIndex = gname_mapping[region_glyphOrder[gid]]
region_map = fd_map[default_fdIndex]
if ri not in region_map:
region_map[ri] = fdIndex
return fd_map
CVarData = namedtuple("CVarData", "varDataList masterSupports vsindex_dict")
def merge_region_fonts(varFont, model, ordered_fonts_list, glyphOrder):
topDict = varFont["CFF2"].cff.topDictIndex[0]
top_dicts = [topDict] + [
_cff_or_cff2(ttFont).cff.topDictIndex[0] for ttFont in ordered_fonts_list[1:]
]
num_masters = len(model.mapping)
cvData = merge_charstrings(glyphOrder, num_masters, top_dicts, model)
fd_map = getfd_map(varFont, ordered_fonts_list)
merge_PrivateDicts(top_dicts, cvData.vsindex_dict, model, fd_map)
addCFFVarStore(varFont, model, cvData.varDataList, cvData.masterSupports)
def _get_cs(charstrings, glyphName, filterEmpty=False):
if glyphName not in charstrings:
return None
cs = charstrings[glyphName]
if filterEmpty:
cs.decompile()
if cs.program == []: # CFF2 empty charstring
return None
elif (
len(cs.program) <= 2
and cs.program[-1] == "endchar"
and (len(cs.program) == 1 or type(cs.program[0]) in (int, float))
): # CFF1 empty charstring
return None
return cs
def _add_new_vsindex(
model, key, masterSupports, vsindex_dict, vsindex_by_key, varDataList
):
varTupleIndexes = []
for support in model.supports[1:]:
if support not in masterSupports:
masterSupports.append(support)
varTupleIndexes.append(masterSupports.index(support))
var_data = varLib.builder.buildVarData(varTupleIndexes, None, False)
vsindex = len(vsindex_dict)
vsindex_by_key[key] = vsindex
vsindex_dict[vsindex] = (model, [key])
varDataList.append(var_data)
return vsindex
def merge_charstrings(glyphOrder, num_masters, top_dicts, masterModel):
vsindex_dict = {}
vsindex_by_key = {}
varDataList = []
masterSupports = []
default_charstrings = top_dicts[0].CharStrings
for gid, gname in enumerate(glyphOrder):
# interpret empty non-default masters as missing glyphs from a sparse master
all_cs = [
_get_cs(td.CharStrings, gname, i != 0) for i, td in enumerate(top_dicts)
]
model, model_cs = masterModel.getSubModel(all_cs)
# create the first pass CFF2 charstring, from
# the default charstring.
default_charstring = model_cs[0]
var_pen = CFF2CharStringMergePen([], gname, num_masters, 0)
# We need to override outlineExtractor because these
# charstrings do have widths in the 'program'; we need to drop these
# values rather than post assertion error for them.
default_charstring.outlineExtractor = MergeOutlineExtractor
default_charstring.draw(var_pen)
# Add the coordinates from all the other regions to the
# blend lists in the CFF2 charstring.
region_cs = model_cs[1:]
for region_idx, region_charstring in enumerate(region_cs, start=1):
var_pen.restart(region_idx)
region_charstring.outlineExtractor = MergeOutlineExtractor
region_charstring.draw(var_pen)
# Collapse each coordinate list to a blend operator and its args.
new_cs = var_pen.getCharString(
private=default_charstring.private,
globalSubrs=default_charstring.globalSubrs,
var_model=model,
optimize=True,
)
default_charstrings[gname] = new_cs
if not region_cs:
continue
if (not var_pen.seen_moveto) or ("blend" not in new_cs.program):
# If this is not a marking glyph, or if there are no blend
# arguments, then we can use vsindex 0. No need to
# check if we need a new vsindex.
continue
# If the charstring required a new model, create
# a VarData table to go with, and set vsindex.
key = tuple(v is not None for v in all_cs)
try:
vsindex = vsindex_by_key[key]
except KeyError:
vsindex = _add_new_vsindex(
model, key, masterSupports, vsindex_dict, vsindex_by_key, varDataList
)
# We do not need to check for an existing new_cs.private.vsindex,
# as we know it doesn't exist yet.
if vsindex != 0:
new_cs.program[:0] = [vsindex, "vsindex"]
# If there is no variation in any of the charstrings, then vsindex_dict
# never gets built. This could still be needed if there is variation
# in the PrivatDict, so we will build the default data for vsindex = 0.
if not vsindex_dict:
key = (True,) * num_masters
_add_new_vsindex(
masterModel, key, masterSupports, vsindex_dict, vsindex_by_key, varDataList
)
cvData = CVarData(
varDataList=varDataList,
masterSupports=masterSupports,
vsindex_dict=vsindex_dict,
)
# XXX To do: optimize use of vsindex between the PrivateDicts and
# charstrings
return cvData
class CFFToCFF2OutlineExtractor(T2OutlineExtractor):
"""This class is used to remove the initial width from the CFF
charstring without trying to add 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 MergeOutlineExtractor(CFFToCFF2OutlineExtractor):
"""Used to extract the charstring commands - including hints - from a
CFF charstring in order to merge it as another set of region data
into a CFF2 variable font charstring."""
def __init__(
self,
pen,
localSubrs,
globalSubrs,
nominalWidthX,
defaultWidthX,
private=None,
blender=None,
):
super().__init__(
pen, localSubrs, globalSubrs, nominalWidthX, defaultWidthX, private, blender
)
def countHints(self):
args = self.popallWidth()
self.hintCount = self.hintCount + len(args) // 2
return args
def _hint_op(self, type, args):
self.pen.add_hint(type, args)
def op_hstem(self, index):
args = self.countHints()
self._hint_op("hstem", args)
def op_vstem(self, index):
args = self.countHints()
self._hint_op("vstem", args)
def op_hstemhm(self, index):
args = self.countHints()
self._hint_op("hstemhm", args)
def op_vstemhm(self, index):
args = self.countHints()
self._hint_op("vstemhm", args)
def _get_hintmask(self, index):
if not self.hintMaskBytes:
args = self.countHints()
if args:
self._hint_op("vstemhm", args)
self.hintMaskBytes = (self.hintCount + 7) // 8
hintMaskBytes, index = self.callingStack[-1].getBytes(index, self.hintMaskBytes)
return index, hintMaskBytes
def op_hintmask(self, index):
index, hintMaskBytes = self._get_hintmask(index)
self.pen.add_hintmask("hintmask", [hintMaskBytes])
return hintMaskBytes, index
def op_cntrmask(self, index):
index, hintMaskBytes = self._get_hintmask(index)
self.pen.add_hintmask("cntrmask", [hintMaskBytes])
return hintMaskBytes, index
class CFF2CharStringMergePen(T2CharStringPen):
"""Pen to merge Type 2 CharStrings."""
def __init__(
self, default_commands, glyphName, num_masters, master_idx, roundTolerance=0.01
):
# For roundTolerance see https://github.com/fonttools/fonttools/issues/2838
super().__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.seen_moveto = False
self.glyphName = glyphName
self.round = roundFunc(roundTolerance, round=round)
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:
raise VarLibCFFPointTypeMergeError(
point_type, self.pt_index, len(cmd[1]), cmd[0], self.glyphName
)
cmd[1].append(pt_coords)
self.pt_index += 1
def add_hint(self, hint_type, args):
if self.m_index == 0:
self._commands.append([hint_type, [args]])
else:
cmd = self._commands[self.pt_index]
if cmd[0] != hint_type:
raise VarLibCFFHintTypeMergeError(
hint_type, self.pt_index, len(cmd[1]), cmd[0], self.glyphName
)
cmd[1].append(args)
self.pt_index += 1
def add_hintmask(self, hint_type, abs_args):
# For hintmask, fonttools.cffLib.specializer.py expects
# each of these to be represented by two sequential commands:
# first holding only the operator name, with an empty arg list,
# second with an empty string as the op name, and the mask arg list.
if self.m_index == 0:
self._commands.append([hint_type, []])
self._commands.append(["", [abs_args]])
else:
cmd = self._commands[self.pt_index]
if cmd[0] != hint_type:
raise VarLibCFFHintTypeMergeError(
hint_type, self.pt_index, len(cmd[1]), cmd[0], self.glyphName
)
self.pt_index += 1
cmd = self._commands[self.pt_index]
cmd[1].append(abs_args)
self.pt_index += 1
def _moveTo(self, pt):
if not self.seen_moveto:
self.seen_moveto = True
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, get_delta_func):
"""
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]
]
If the master values are all the same, we collapse the list to
as single value instead of a list.
We then convert this to::
[ [master_0 x] + [x delta tuple] + [numBlends=1]
[master_0 y] + [y delta tuple] + [numBlends=1]
]
"""
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] = list(m_args)
lastOp = None
for cmd in commands:
op = cmd[0]
# masks are represented by two cmd's: first has only op names,
# second has only args.
if lastOp in ["hintmask", "cntrmask"]:
coord = list(cmd[1])
if not allEqual(coord):
raise VarLibMergeError(
"Hintmask values cannot differ between source fonts."
)
cmd[1] = [coord[0][0]]
else:
coords = cmd[1]
new_coords = []
for coord in coords:
if allEqual(coord):
new_coords.append(coord[0])
else:
# convert to deltas
deltas = get_delta_func(coord)[1:]
coord = [coord[0]] + deltas
coord.append(1)
new_coords.append(coord)
cmd[1] = new_coords
lastOp = op
return commands
def getCharString(
self, private=None, globalSubrs=None, var_model=None, optimize=True
):
commands = self._commands
commands = self.reorder_blend_args(
commands, partial(var_model.getDeltas, round=self.round)
)
if optimize:
commands = specializeCommands(
commands, generalizeFirst=False, maxstack=maxStackLimit
)
program = commandsToProgram(commands)
charString = T2CharString(
program=program, private=private, globalSubrs=globalSubrs
)
return charString