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Python dviread.Encoding方法代碼示例

本文整理匯總了Python中matplotlib.dviread.Encoding方法的典型用法代碼示例。如果您正苦於以下問題:Python dviread.Encoding方法的具體用法?Python dviread.Encoding怎麽用?Python dviread.Encoding使用的例子?那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在matplotlib.dviread的用法示例。


在下文中一共展示了dviread.Encoding方法的9個代碼示例,這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚,您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: _write_afm_font

# 需要導入模塊: from matplotlib import dviread [as 別名]
# 或者: from matplotlib.dviread import Encoding [as 別名]
def _write_afm_font(self, filename):
        with open(filename, 'rb') as fh:
            font = AFM(fh)
        fontname = font.get_fontname()
        fontdict = { 'Type': Name('Font'),
                     'Subtype': Name('Type1'),
                     'BaseFont': Name(fontname),
                     'Encoding': Name('WinAnsiEncoding') }
        fontdictObject = self.reserveObject('font dictionary')
        self.writeObject(fontdictObject, fontdict)
        return fontdictObject 
開發者ID:ktraunmueller,項目名稱:Computable,代碼行數:13,代碼來源:backend_pdf.py

示例2: _get_adobe_standard_encoding

# 需要導入模塊: from matplotlib import dviread [as 別名]
# 或者: from matplotlib.dviread import Encoding [as 別名]
def _get_adobe_standard_encoding(self):
        enc_name = dviread.find_tex_file('8a.enc')
        enc = dviread.Encoding(enc_name)
        return dict([(c, i) for i, c in enumerate(enc.encoding)]) 
開發者ID:ktraunmueller,項目名稱:Computable,代碼行數:6,代碼來源:textpath.py

示例3: _write_afm_font

# 需要導入模塊: from matplotlib import dviread [as 別名]
# 或者: from matplotlib.dviread import Encoding [as 別名]
def _write_afm_font(self, filename):
        with open(filename, 'rb') as fh:
            font = AFM(fh)
        fontname = font.get_fontname()
        fontdict = {'Type': Name('Font'),
                    'Subtype': Name('Type1'),
                    'BaseFont': Name(fontname),
                    'Encoding': Name('WinAnsiEncoding')}
        fontdictObject = self.reserveObject('font dictionary')
        self.writeObject(fontdictObject, fontdict)
        return fontdictObject 
開發者ID:PacktPublishing,項目名稱:Mastering-Elasticsearch-7.0,代碼行數:13,代碼來源:backend_pdf.py

示例4: _get_adobe_standard_encoding

# 需要導入模塊: from matplotlib import dviread [as 別名]
# 或者: from matplotlib.dviread import Encoding [as 別名]
def _get_adobe_standard_encoding():
    enc_name = dviread.find_tex_file('8a.enc')
    enc = dviread.Encoding(enc_name)
    return {c: i for i, c in enumerate(enc.encoding)} 
開發者ID:Relph1119,項目名稱:GraphicDesignPatternByPython,代碼行數:6,代碼來源:textpath.py

示例5: _get_ps_font_and_encoding

# 需要導入模塊: from matplotlib import dviread [as 別名]
# 或者: from matplotlib.dviread import Encoding [as 別名]
def _get_ps_font_and_encoding(texname):
        tex_font_map = dviread.PsfontsMap(dviread.find_tex_file('pdftex.map'))
        font_bunch = tex_font_map[texname]
        if font_bunch.filename is None:
            raise ValueError(
                ("No usable font file found for %s (%s). "
                    "The font may lack a Type-1 version.")
                % (font_bunch.psname, texname))

        font = get_font(font_bunch.filename)

        for charmap_name, charmap_code in [("ADOBE_CUSTOM", 1094992451),
                                           ("ADOBE_STANDARD", 1094995778)]:
            try:
                font.select_charmap(charmap_code)
            except (ValueError, RuntimeError):
                pass
            else:
                break
        else:
            charmap_name = ""
            warnings.warn("No supported encoding in font (%s)." %
                          font_bunch.filename)

        if charmap_name == "ADOBE_STANDARD" and font_bunch.encoding:
            enc0 = dviread.Encoding(font_bunch.encoding)
            enc = {i: _get_adobe_standard_encoding().get(c, None)
                   for i, c in enumerate(enc0.encoding)}
        else:
            enc = {}

        return font, enc 
開發者ID:Relph1119,項目名稱:GraphicDesignPatternByPython,代碼行數:34,代碼來源:textpath.py

示例6: _get_adobe_standard_encoding

# 需要導入模塊: from matplotlib import dviread [as 別名]
# 或者: from matplotlib.dviread import Encoding [as 別名]
def _get_adobe_standard_encoding(self):
        enc_name = dviread.find_tex_file('8a.enc')
        enc = dviread.Encoding(enc_name)
        return {c: i for i, c in enumerate(enc.encoding)} 
開發者ID:alvarobartt,項目名稱:twitter-stock-recommendation,代碼行數:6,代碼來源:textpath.py

示例7: embedTeXFont

# 需要導入模塊: from matplotlib import dviread [as 別名]
# 或者: from matplotlib.dviread import Encoding [as 別名]
def embedTeXFont(self, texname, fontinfo):
        matplotlib.verbose.report(
            'Embedding TeX font ' + texname + ' - fontinfo=' + repr(fontinfo.__dict__),
            'debug')

        # Widths
        widthsObject = self.reserveObject('font widths')
        self.writeObject(widthsObject, fontinfo.dvifont.widths)

        # Font dictionary
        fontdictObject = self.reserveObject('font dictionary')
        fontdict = {
            'Type':      Name('Font'),
            'Subtype':   Name('Type1'),
            'FirstChar': 0,
            'LastChar':  len(fontinfo.dvifont.widths) - 1,
            'Widths':    widthsObject,
            }

        # Encoding (if needed)
        if fontinfo.encodingfile is not None:
            enc = dviread.Encoding(fontinfo.encodingfile)
            differencesArray = [ Name(ch) for ch in enc ]
            differencesArray = [ 0 ] + differencesArray
            fontdict['Encoding'] = \
                { 'Type': Name('Encoding'),
                  'Differences': differencesArray }

        # If no file is specified, stop short
        if fontinfo.fontfile is None:
            warnings.warn(
                'Because of TeX configuration (pdftex.map, see updmap ' +
                'option pdftexDownloadBase14) the font %s ' % fontinfo.basefont +
                'is not embedded. This is deprecated as of PDF 1.5 ' +
                'and it may cause the consumer application to show something ' +
                'that was not intended.')
            fontdict['BaseFont'] = Name(fontinfo.basefont)
            self.writeObject(fontdictObject, fontdict)
            return fontdictObject

        # We have a font file to embed - read it in and apply any effects
        t1font = type1font.Type1Font(fontinfo.fontfile)
        if fontinfo.effects:
            t1font = t1font.transform(fontinfo.effects)
        fontdict['BaseFont'] = Name(t1font.prop['FontName'])

        # Font descriptors may be shared between differently encoded
        # Type-1 fonts, so only create a new descriptor if there is no
        # existing descriptor for this font.
        effects = (fontinfo.effects.get('slant', 0.0), fontinfo.effects.get('extend', 1.0))
        fontdesc = self.type1Descriptors.get((fontinfo.fontfile, effects))
        if fontdesc is None:
            fontdesc = self.createType1Descriptor(t1font, fontinfo.fontfile)
            self.type1Descriptors[(fontinfo.fontfile, effects)] = fontdesc
        fontdict['FontDescriptor'] = fontdesc

        self.writeObject(fontdictObject, fontdict)
        return fontdictObject 
開發者ID:ktraunmueller,項目名稱:Computable,代碼行數:60,代碼來源:backend_pdf.py

示例8: _embedTeXFont

# 需要導入模塊: from matplotlib import dviread [as 別名]
# 或者: from matplotlib.dviread import Encoding [as 別名]
def _embedTeXFont(self, fontinfo):
        _log.debug('Embedding TeX font %s - fontinfo=%s',
                   fontinfo.dvifont.texname, fontinfo.__dict__)

        # Widths
        widthsObject = self.reserveObject('font widths')
        self.writeObject(widthsObject, fontinfo.dvifont.widths)

        # Font dictionary
        fontdictObject = self.reserveObject('font dictionary')
        fontdict = {
            'Type':      Name('Font'),
            'Subtype':   Name('Type1'),
            'FirstChar': 0,
            'LastChar':  len(fontinfo.dvifont.widths) - 1,
            'Widths':    widthsObject,
            }

        # Encoding (if needed)
        if fontinfo.encodingfile is not None:
            enc = dviread.Encoding(fontinfo.encodingfile)
            differencesArray = [Name(ch) for ch in enc]
            differencesArray = [0] + differencesArray
            fontdict['Encoding'] = \
                {'Type': Name('Encoding'),
                 'Differences': differencesArray}

        # If no file is specified, stop short
        if fontinfo.fontfile is None:
            _log.warning(
                "Because of TeX configuration (pdftex.map, see updmap option "
                "pdftexDownloadBase14) the font %s is not embedded. This is "
                "deprecated as of PDF 1.5 and it may cause the consumer "
                "application to show something that was not intended.",
                fontinfo.basefont)
            fontdict['BaseFont'] = Name(fontinfo.basefont)
            self.writeObject(fontdictObject, fontdict)
            return fontdictObject

        # We have a font file to embed - read it in and apply any effects
        t1font = type1font.Type1Font(fontinfo.fontfile)
        if fontinfo.effects:
            t1font = t1font.transform(fontinfo.effects)
        fontdict['BaseFont'] = Name(t1font.prop['FontName'])

        # Font descriptors may be shared between differently encoded
        # Type-1 fonts, so only create a new descriptor if there is no
        # existing descriptor for this font.
        effects = (fontinfo.effects.get('slant', 0.0),
                   fontinfo.effects.get('extend', 1.0))
        fontdesc = self.type1Descriptors.get((fontinfo.fontfile, effects))
        if fontdesc is None:
            fontdesc = self.createType1Descriptor(t1font, fontinfo.fontfile)
            self.type1Descriptors[(fontinfo.fontfile, effects)] = fontdesc
        fontdict['FontDescriptor'] = fontdesc

        self.writeObject(fontdictObject, fontdict)
        return fontdictObject 
開發者ID:PacktPublishing,項目名稱:Mastering-Elasticsearch-7.0,代碼行數:60,代碼來源:backend_pdf.py

示例9: embedTeXFont

# 需要導入模塊: from matplotlib import dviread [as 別名]
# 或者: from matplotlib.dviread import Encoding [as 別名]
def embedTeXFont(self, texname, fontinfo):
        msg = ('Embedding TeX font ' + texname + ' - fontinfo=' +
               repr(fontinfo.__dict__))
        matplotlib.verbose.report(msg, 'debug')

        # Widths
        widthsObject = self.reserveObject('font widths')
        self.writeObject(widthsObject, fontinfo.dvifont.widths)

        # Font dictionary
        fontdictObject = self.reserveObject('font dictionary')
        fontdict = {
            'Type':      Name('Font'),
            'Subtype':   Name('Type1'),
            'FirstChar': 0,
            'LastChar':  len(fontinfo.dvifont.widths) - 1,
            'Widths':    widthsObject,
            }

        # Encoding (if needed)
        if fontinfo.encodingfile is not None:
            enc = dviread.Encoding(fontinfo.encodingfile)
            differencesArray = [Name(ch) for ch in enc]
            differencesArray = [0] + differencesArray
            fontdict['Encoding'] = \
                {'Type': Name('Encoding'),
                 'Differences': differencesArray}

        # If no file is specified, stop short
        if fontinfo.fontfile is None:
            msg = ('Because of TeX configuration (pdftex.map, see updmap '
                   'option pdftexDownloadBase14) the font {0} is not '
                   'embedded. This is deprecated as of PDF 1.5 and it may '
                   'cause the consumer application to show something that '
                   'was not intended.').format(fontinfo.basefont)
            warnings.warn(msg)
            fontdict['BaseFont'] = Name(fontinfo.basefont)
            self.writeObject(fontdictObject, fontdict)
            return fontdictObject

        # We have a font file to embed - read it in and apply any effects
        t1font = type1font.Type1Font(fontinfo.fontfile)
        if fontinfo.effects:
            t1font = t1font.transform(fontinfo.effects)
        fontdict['BaseFont'] = Name(t1font.prop['FontName'])

        # Font descriptors may be shared between differently encoded
        # Type-1 fonts, so only create a new descriptor if there is no
        # existing descriptor for this font.
        effects = (fontinfo.effects.get('slant', 0.0),
                   fontinfo.effects.get('extend', 1.0))
        fontdesc = self.type1Descriptors.get((fontinfo.fontfile, effects))
        if fontdesc is None:
            fontdesc = self.createType1Descriptor(t1font, fontinfo.fontfile)
            self.type1Descriptors[(fontinfo.fontfile, effects)] = fontdesc
        fontdict['FontDescriptor'] = fontdesc

        self.writeObject(fontdictObject, fontdict)
        return fontdictObject 
開發者ID:miloharper,項目名稱:neural-network-animation,代碼行數:61,代碼來源:backend_pdf.py


注:本文中的matplotlib.dviread.Encoding方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台,相關代碼片段篩選自各路編程大神貢獻的開源項目,源碼版權歸原作者所有,傳播和使用請參考對應項目的License;未經允許,請勿轉載。