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Fix regression that caused rescaling of ont size in dropcaps generated

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by the DOCX input plugin
This commit is contained in:
Kovid Goyal 2013-07-18 13:30:44 +05:30
parent 781191c21b
commit aefab3b47a
1 changed files with 7 additions and 5 deletions
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12
src/calibre/ebooks/oeb/transforms/flatcss.py
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@ -371,11 +371,13 @@ class CSSFlattener(object):
is_drop_cap = (cssdict.get('float', None) == 'left' and 'font-size' in
cssdict and len(node) == 0 and node.text and
len(node.text) == 1)
is_drop_cap = is_drop_cap or (
# The docx input plugin generates drop caps that look like this
len(node) == 1 and not node.text and len(node[0]) == 0 and
node[0].text and not node[0].tail and len(node[0].text) == 1 and
'line-height' in cssdict and 'font-size' in cssdict)
# Detect drop caps generated by the docx input plugin
if (node.tag and node.tag.endswith('}p') and len(node) == 0 and node.text and len(node.text.strip()) == 1 and
not node.tail and 'line-height' in cssdict and 'font-size' in cssdict):
dp = node.getparent()
if dp.tag and dp.tag.endswith('}div') and len(dp) == 1 and not dp.text:
if stylizer.style(dp).cssdict().get('float', None) == 'left':
is_drop_cap = True
if not self.context.disable_font_rescaling and not is_drop_cap:
_sbase = self.sbase if self.sbase is not None else \
self.context.source.fbase