Parses marked-up text (see
<link linkend="PangoMarkupFormat">markup format</link>) to create
a plain-text string and an attribute list.
If @accel_marker is nonzero, the given character will mark the
character following it as an accelerator. For example, @accel_marker
might be an ampersand or underscore. All characters marked
as an accelerator will receive a %PANGO_UNDERLINE_LOW attribute,
and the first character so marked will be returned in @accel_char,
when calling finish(). Two @accel_marker characters following each
other produce a single literal @accel_marker character.
To feed markup to the parser, use g_markup_parse_context_parse()
on the returned #GMarkupParseContext. When done with feeding markup
to the parser, use pango_markup_parser_finish() to get the data out
of it, and then use g_markup_parse_context_free() to free it.
This function is designed for applications that read pango markup
from streams. To simply parse a string containing pango markup,
the simpler pango_parse_markup() API is recommended instead.
Parses marked-up text (see <link linkend="PangoMarkupFormat">markup format</link>) to create a plain-text string and an attribute list.
If @accel_marker is nonzero, the given character will mark the character following it as an accelerator. For example, @accel_marker might be an ampersand or underscore. All characters marked as an accelerator will receive a %PANGO_UNDERLINE_LOW attribute, and the first character so marked will be returned in @accel_char, when calling finish(). Two @accel_marker characters following each other produce a single literal @accel_marker character.
To feed markup to the parser, use g_markup_parse_context_parse() on the returned #GMarkupParseContext. When done with feeding markup to the parser, use pango_markup_parser_finish() to get the data out of it, and then use g_markup_parse_context_free() to free it.
This function is designed for applications that read pango markup from streams. To simply parse a string containing pango markup, the simpler pango_parse_markup() API is recommended instead.