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