/usr/lib/python2.7/dist-packages/kiva/pdfmetrics.py is in python-enable 4.5.1-2ubuntu1.
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# Copyright (c) 2005, Enthought, Inc.
# All rights reserved.
#
# This software is provided without warranty under the terms of the BSD
# license included in enthought/LICENSE.txt and may be redistributed only
# under the conditions described in the aforementioned license. The license
# is also available online at http://www.enthought.com/licenses/BSD.txt
# Thanks for using Enthought open source!
#
# Author: Enthought, Inc.
# Description: <Enthought kiva package component>
#------------------------------------------------------------------------------
#copyright ReportLab Inc. 2001
#see license.txt for license details
#history http://cvs.sourceforge.net/cgi-bin/cvsweb.cgi/reportlab/pdfbase/pdfmetrics.py?cvsroot=reportlab
# MODIFIED from reportlab's version for the sake of easier integration in Kiva -- David Ascher
#$Header $
__version__=''' $Id: pdfmetrics.py,v 1.1 2002/12/03 08:06:29 da Exp $ '''
__doc__="""
This provides a database of font metric information and
efines Font, Encoding and TypeFace classes aimed at end users.
There are counterparts to some of these in pdfbase/pdfdoc.py, but
the latter focus on constructing the right PDF objects. These
classes are declarative and focus on letting the user construct
and query font objects.
The module maintains a registry of font objects at run time.
It is independent of the canvas or any particular context. It keeps
a registry of Font, TypeFace and Encoding objects. Ideally these
would be pre-loaded, but due to a nasty circularity problem we
trap attempts to access them and do it on first access.
"""
import string, os
from types import ListType, TupleType
# XXX Kiva specific changes
defaultEncoding = 'WinAnsiEncoding' # 'WinAnsi' or 'MacRoman'
import _fontdata
standardFonts = _fontdata.standardFonts
standardEncodings = _fontdata.standardEncodings
_dummyEncoding=' _not an encoding_ '
# XXX Kiva-specific changes
_stringWidth = None
_typefaces = {}
_encodings = {}
_fonts = {}
class FontError(Exception):
pass
class FontNotFoundError(Exception):
pass
def parseAFMFile(afmFileName):
"""Quick and dirty - gives back a top-level dictionary
with top-level items, and a 'widths' key containing
a dictionary of glyph names and widths. Just enough
needed for embedding. A better parser would accept
options for what data you wwanted, and preserve the
order."""
lines = open(afmFileName, 'r').readlines()
if len(lines)<=1:
#likely to be a MAC file
lines = string.split(lines,'\r')
if len(lines)<=1:
raise ValueError, 'AFM file %s hasn\'t enough data' % afmFileName
topLevel = {}
glyphLevel = []
lines = map(string.strip, lines)
#pass 1 - get the widths
inMetrics = 0 # os 'TOP', or 'CHARMETRICS'
for line in lines:
if line[0:16] == 'StartCharMetrics':
inMetrics = 1
elif line[0:14] == 'EndCharMetrics':
inMetrics = 0
elif inMetrics:
chunks = string.split(line, ';')
chunks = map(string.strip, chunks)
cidChunk, widthChunk, nameChunk = chunks[0:3]
# character ID
l, r = string.split(cidChunk)
assert l == 'C', 'bad line in font file %s' % line
cid = string.atoi(r)
# width
l, r = string.split(widthChunk)
assert l == 'WX', 'bad line in font file %s' % line
width = string.atoi(r)
# name
l, r = string.split(nameChunk)
assert l == 'N', 'bad line in font file %s' % line
name = r
glyphLevel.append((cid, width, name))
# pass 2 font info
inHeader = 0
for line in lines:
if line[0:16] == 'StartFontMetrics':
inHeader = 1
if line[0:16] == 'StartCharMetrics':
inHeader = 0
elif inHeader:
if line[0:7] == 'Comment': pass
try:
left, right = string.split(line,' ',1)
except:
raise ValueError, "Header information error in afm %s: line='%s'" % (afmFileName, line)
try:
right = string.atoi(right)
except:
pass
topLevel[left] = right
return (topLevel, glyphLevel)
class TypeFace:
def __init__(self, name):
self.name = name
self.glyphNames = []
self.glyphWidths = {}
self.ascent = 0
self.descent = 0
if name == 'ZapfDingbats':
self.requiredEncoding = 'ZapfDingbatsEncoding'
elif name == 'Symbol':
self.requiredEncoding = 'SymbolEncoding'
else:
self.requiredEncoding = None
if name in standardFonts:
self.builtIn = 1
self._loadBuiltInData(name)
else:
self.builtIn = 0
def _loadBuiltInData(self, name):
"""Called for the built in 14 fonts. Gets their glyph data.
We presume they never change so this can be a shared reference."""
self.glyphWidths = _fontdata.widthsByFontGlyph[name]
self.glyphNames = self.glyphWidths.keys()
self.ascent,self.descent = _fontdata.ascent_descent[name]
def findT1File(self, ext='.pfb'):
possible_exts = (string.lower(ext), string.upper(ext))
if hasattr(self,'pfbFileName'):
r_basename = os.path.splitext(self.pfbFileName)[0]
for e in possible_exts:
if os.path.isfile(r_basename + e):
return r_basename + e
try:
r = _fontdata.findT1File(self.name)
except:
afm = bruteForceSearchForAFM(self.name)
if afm:
if string.lower(ext) == '.pfb':
for e in possible_exts:
pfb = os.path.splitext(afm)[0] + e
if os.path.isfile(pfb):
r = pfb
else:
r = None
elif string.lower(ext) == '.afm':
r = afm
else:
r = None
if r is None:
warnOnce("Can't find %s for face '%s'" % (ext, self.name))
return r
def bruteForceSearchForAFM(faceName):
"""Looks in all AFM files on path for face with given name.
Returns AFM file name or None. Ouch!"""
import glob
# XXX Kiva-specific changes
T1SearchPath = [] # XXX should be modified if Kiva wants to support T1 fonts
for dirname in T1SearchPath:
if not os.path.isdir(dirname):
continue
possibles = glob.glob(dirname + os.sep + '*.[aA][fF][mM]')
for possible in possibles:
(topDict, glyphDict) = parseAFMFile(possible)
if topDict['FontName'] == faceName:
return possible
return None
#for faceName in standardFonts:
# registerTypeFace(TypeFace(faceName))
class Encoding:
"""Object to help you create and refer to encodings."""
def __init__(self, name, base=None):
self.name = name
self.frozen = 0
if name in standardEncodings:
assert base is None, "Can't have a base encoding for a standard encoding"
self.baseEncodingName = name
self.vector = _fontdata.encodings[name]
elif base == None:
# assume based on the usual one
self.baseEncodingName = defaultEncoding
self.vector = _fontdata.encodings[defaultEncoding]
elif isinstance(base, basestring):
baseEnc = getEncoding(base)
self.baseEncodingName = baseEnc.name
self.vector = baseEnc.vector[:]
elif type(base) in (ListType, TupleType):
self.baseEncodingName = defaultEncoding
self.vector = base[:]
elif isinstance(base, Encoding):
# accept a vector
self.baseEncodingName = base.name
self.vector = base.vector[:]
def __getitem__(self, index):
"Return glyph name for that code point, or None"
# THIS SHOULD BE INLINED FOR SPEED
return self.vector[index]
def __setitem__(self, index, value):
# should fail if they are frozen
assert self.frozen == 0, 'Cannot modify a frozen encoding'
if self.vector[index]!=value:
L = list(self.vector)
L[index] = value
self.vector = tuple(L)
def freeze(self):
self.vector = tuple(self.vector)
self.frozen = 1
def isEqual(self, other):
return ((enc.name == other.name) and (enc.vector == other.vector))
def modifyRange(self, base, newNames):
"""Sets a group of character names starting at the code point 'base'."""
assert self.frozen == 0, 'Cannot modify a frozen encoding'
idx = base
for name in newNames:
self.vector[idx] = name
idx = idx + 1
def getDifferences(self, otherEnc):
"""Returns a compact list of the code points differing between two encodings
This is in the Adobe format, a list of::
[[b1, name1, name2, name3],
[b2, name4]]
where b1...bn is the starting code point, and the glyph names following
are assigned consecutive code points."""
ranges = []
curRange = None
for i in xrange(len(self.vector)):
glyph = self.vector[i]
if glyph==otherEnc.vector[i]:
if curRange:
ranges.append(curRange)
curRange = []
else:
if curRange:
curRange.append(glyph)
elif glyph:
curRange = [i, glyph]
if curRange:
ranges.append(curRange)
return ranges
def makePDFObject(self):
# XXX Kiva specific change
raise NotImplementedError
#for encName in standardEncodings:
# registerEncoding(Encoding(encName))
class Font:
"""Represents a font (i.e., combination of face and encoding).
Defines suitable machinery for single byte fonts. This is
a concrete class which can handle the basic built-in fonts;
not clear yet if embedded ones need a new font class or
just a new typeface class (which would do the job through
composition)"""
def __init__(self, name, faceName, encName):
self.fontName = name
self.face = getTypeFace(faceName)
self.encoding= getEncoding(encName)
self._calcWidths()
# multi byte fonts do their own stringwidth calculations.
# signal this here.
self._multiByte = 0
def _calcWidths(self):
"""Vector of widths for stringWidth function"""
#synthesize on first request
w = [0] * 256
gw = self.face.glyphWidths
vec = self.encoding.vector
for i in range(256):
glyphName = vec[i]
if glyphName is not None:
try:
width = gw[glyphName]
w[i] = width
except KeyError:
# XXX Kiva specific change
print 'typeface "%s" does not have a glyph "%s", bad font!' % (self.face.name, glyphName)
self.widths = w
if not _stringWidth:
def stringWidth(self, text, size):
"""This is the "purist" approach to width. The practical one
is to use the stringWidth one which may be optimized
in C."""
w = 0
widths = self.widths
for ch in text:
w = w + widths[ord(ch)]
return w * 0.001 * size
def _formatWidths(self):
"returns a pretty block in PDF Array format to aid inspection"
text = '['
for i in range(256):
text = text + ' ' + str(self.widths[i])
if i == 255:
text = text + ' ]'
if i % 16 == 15:
text = text + '\n'
return text
def addObjects(self, doc):
# XXX Kiva specific change
raise NotImplementedError
PFB_MARKER=chr(0x80)
PFB_ASCII=chr(1)
PFB_BINARY=chr(2)
PFB_EOF=chr(3)
def _pfbSegLen(p,d):
'''compute a pfb style length from the first 4 bytes of string d'''
return ((((ord(d[p+3])<<8)|ord(d[p+2])<<8)|ord(d[p+1]))<<8)|ord(d[p])
def _pfbCheck(p,d,m,fn):
if d[p]!=PFB_MARKER or d[p+1]!=m:
raise ValueError, 'Bad pfb file\'%s\' expected chr(%d)chr(%d) at char %d, got chr(%d)chr(%d)' % (fn,ord(PFB_MARKER),ord(m),p,ord(d[p]),ord(d[p+1]))
if m==PFB_EOF: return
p = p + 2
l = _pfbSegLen(p,d)
p = p + 4
if p+l>len(d):
raise ValueError, 'Bad pfb file\'%s\' needed %d+%d bytes have only %d!' % (fn,p,l,len(d))
return p, p+l
class EmbeddedType1Face(TypeFace):
"""A Type 1 font other than one of the basic 14.
Its glyph data will be embedded in the PDF file."""
def __init__(self, afmFileName, pfbFileName):
# ignore afm file for now
self.afmFileName = os.path.abspath(afmFileName)
self.pfbFileName = os.path.abspath(pfbFileName)
self.requiredEncoding = None
self._loadGlyphs(pfbFileName)
self._loadMetrics(afmFileName)
def _loadGlyphs(self, pfbFileName):
"""Loads in binary glyph data, and finds the four length
measurements needed for the font descriptor."""
assert os.path.isfile(pfbFileName), 'file %s not found' % pfbFileName
d = open(pfbFileName, 'rb').read()
s1, l1 = _pfbCheck(0,d,PFB_ASCII,pfbFileName)
s2, l2 = _pfbCheck(l1,d,PFB_BINARY,pfbFileName)
s3, l3 = _pfbCheck(l2,d,PFB_ASCII,pfbFileName)
_pfbCheck(l3,d,PFB_EOF,pfbFileName)
self._binaryData = d[s1:l1]+d[s2:l2]+d[s3:l3]
self._length = len(self._binaryData)
self._length1 = l1-s1
self._length2 = l2-s2
self._length3 = l3-s3
def _loadMetrics(self, afmFileName):
"""Loads in and parses font metrics."""
#assert os.path.isfile(afmFileName), "AFM file %s not found" % afmFileName
(topLevel, glyphData) = parseAFMFile(afmFileName)
self.name = topLevel['FontName']
self.ascent = topLevel.get('Ascender', 1000)
self.descent = topLevel.get('Descender', 0)
self.capHeight = topLevel.get('CapHeight', 1000)
self.italicAngle = topLevel.get('ItalicAngle', 0)
self.stemV = topLevel.get('stemV', 0)
self.xHeight = topLevel.get('XHeight', 1000)
strBbox = topLevel.get('FontBBox', [0,0,1000,1000])
tokens = string.split(strBbox)
self.bbox = []
for tok in tokens:
self.bbox.append(string.atoi(tok))
glyphWidths = {}
for (cid, width, name) in glyphData:
glyphWidths[name] = width
self.glyphWidths = glyphWidths
self.glyphNames = glyphWidths.keys()
self.glyphNames.sort()
# for font-specific encodings like Symbol, Dingbats, Carta we
# need to make a new encoding as well....
if topLevel.get('EncodingScheme', None) == 'FontSpecific':
names = [None] * 256
for (code, width, name) in glyphData:
if code >=0 and code <=255:
names[code] = name
encName = self.name + 'Encoding'
self.requiredEncoding = encName
enc = Encoding(encName, names)
registerEncoding(enc)
def addObjects(self, doc):
# XXX Kiva specific changes
raise NotImplementedError
def registerTypeFace(face):
assert isinstance(face, TypeFace), 'Not a TypeFace: %s' % face
_typefaces[face.name] = face
# XXX Kiva specific changes
def registerEncoding(enc):
assert isinstance(enc, Encoding), 'Not an Encoding: %s' % enc
if _encodings.has_key(enc.name):
# already got one, complain if they are not the same
if enc.isEqual(_encodings[enc.name]):
enc.freeze()
else:
raise FontError('Encoding "%s" already registered with a different name vector!' % enc.Name)
else:
_encodings[enc.name] = enc
enc.freeze()
# have not yet dealt with immutability!
def registerFont(font):
"Registers a font, including setting up info for accelerated stringWidth"
#assert isinstance(font, Font), 'Not a Font: %s' % font
fontName = font.fontName
_fonts[fontName] = font
if not font._multiByte:
if _stringWidth:
_rl_accel.setFontInfo(string.lower(fontName),
_dummyEncoding,
font.face.ascent,
font.face.descent,
font.widths)
def getTypeFace(faceName):
"""Lazily constructs known typefaces if not found."""
try:
return _typefaces[faceName]
except KeyError:
# not found, construct it if known
if faceName in standardFonts:
face = TypeFace(faceName)
registerTypeFace(face)
#print 'auto-constructing type face %s' % face.name
return face
else:
#try a brute force search
afm = bruteForceSearchForAFM(faceName)
if afm:
for e in ('.pfb', '.PFB'):
pfb = os.path.splitext(afm)[0] + e
if os.path.isfile(pfb): break
assert os.path.isfile(pfb), 'file %s not found!' % pfb
face = EmbeddedType1Face(afm, pfb)
registerTypeFace(face)
return face
else:
raise
def getEncoding(encName):
"""Lazily constructs known encodings if not found."""
try:
return _encodings[encName]
except KeyError:
if encName in standardEncodings:
enc = Encoding(encName)
registerEncoding(enc)
#print 'auto-constructing encoding %s' % encName
return enc
else:
raise
def getFont(fontName):
"""Lazily constructs known fonts if not found.
Names of the form 'face-encoding' will be built if
face and encoding are known. Also if the name is
just one of the standard 14, it will make up a font
in the default encoding."""
try:
return _fonts[fontName]
except KeyError:
#it might have a font-specific encoding e.g. Symbol
# or Dingbats. If not, take the default.
face = getTypeFace(fontName)
if face.requiredEncoding:
font = Font(fontName, fontName, face.requiredEncoding)
else:
font = Font(fontName, fontName, defaultEncoding)
registerFont(font)
return font
def _slowStringWidth(text, fontName, fontSize):
"""Define this anyway so it can be tested, but whether it is used or not depends on _rl_accel"""
font = getFont(fontName)
return font.stringWidth(text, fontSize)
#this is faster, but will need more special-casing for multi-byte fonts.
#wid = getFont(fontName).widths
#w = 0
#for ch in text:
# w = w + wid[ord(ch)]
#return 0.001 * w * fontSize
# XXX Kiva specific changes
stringWidth = _slowStringWidth
def dumpFontData():
print 'Registered Encodings:'
keys = _encodings.keys()
keys.sort()
for encName in keys:
print ' ',encName
print
print 'Registered Typefaces:'
faces = _typefaces.keys()
faces.sort()
for faceName in faces:
print ' ',faceName
print
print 'Registered Fonts:'
k = _fonts.keys()
k.sort()
for key in k:
font = _fonts[key]
print ' %s (%s/%s)' % (font.fontName, font.face.name, font.encoding.name)
def test3widths(texts):
# checks all 3 algorithms give same answer, note speed
import time
for fontName in standardFonts[0:1]:
t0 = time.time()
for text in texts:
l1 = _stringWidth(text, fontName, 10)
t1 = time.time()
print 'fast stringWidth took %0.4f' % (t1 - t0)
t0 = time.time()
w = getFont(fontName).widths
for text in texts:
l2 = 0
for ch in text:
l2 = l2 + w[ord(ch)]
t1 = time.time()
print 'slow stringWidth took %0.4f' % (t1 - t0)
t0 = time.time()
for text in texts:
l3 = getFont(fontName).stringWidth(text, 10)
t1 = time.time()
print 'class lookup and stringWidth took %0.4f' % (t1 - t0)
print
def testStringWidthAlgorithms():
rawdata = open('../../rlextra/rml2pdf/doc/rml_user_guide.prep').read()
print 'rawdata length %d' % len(rawdata)
print 'test one huge string...'
test3widths([rawdata])
print
words = string.split(rawdata)
print 'test %d shorter strings (average length %0.2f chars)...' % (len(words), 1.0*len(rawdata)/len(words))
test3widths(words)
def test():
helv = TypeFace('Helvetica')
registerTypeFace(helv)
print helv.glyphNames[0:30]
wombat = TypeFace('Wombat')
print wombat.glyphNames
registerTypeFace(wombat)
dumpFontData()
if __name__=='__main__':
test()
testStringWidthAlgorithms()
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