本文整理汇总了Python中pandocfilters.Str方法的典型用法代码示例。如果您正苦于以下问题:Python pandocfilters.Str方法的具体用法?Python pandocfilters.Str怎么用?Python pandocfilters.Str使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pandocfilters
的用法示例。
在下文中一共展示了pandocfilters.Str方法的15个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: attach_attrs_table
# 需要导入模块: import pandocfilters [as 别名]
# 或者: from pandocfilters import Str [as 别名]
def attach_attrs_table(key, value, fmt, meta):
"""Extracts attributes and attaches them to element."""
# We can't use attach_attrs_factory() because Table is a block-level element
if key in ['Table']:
assert len(value) == 5
caption = value[0] # caption, align, x, head, body
# Set n to the index where the attributes start
n = 0
while n < len(caption) and not \
(caption[n]['t'] == 'Str' and caption[n]['c'].startswith('{')):
n += 1
try:
attrs = extract_attrs(caption, n)
value.insert(0, attrs.list)
except (ValueError, IndexError):
pass
# pylint: disable=too-many-branches
示例2: dollarfy
# 需要导入模块: import pandocfilters [as 别名]
# 或者: from pandocfilters import Str [as 别名]
def dollarfy(x):
"""Replaces Math elements in element list `x` with a $-enclosed string.
stringify() passes through TeX math. Use dollarfy(x) first to replace
Math elements with math strings set in dollars. `x` should be a deep copy
so that the underlying document is left untouched.
Returns `x`, modified in-place.
"""
def _dollarfy(key, value, fmt, meta): # pylint: disable=unused-argument
"""Replaces Math elements"""
if key == 'Math':
return Str('$' + value[1] + '$')
return None
return walk(x, _dollarfy, '', {})
# extract_attrs() ------------------------------------------------------------
示例3: join_strings
# 需要导入模块: import pandocfilters [as 别名]
# 或者: from pandocfilters import Str [as 别名]
def join_strings(key, value, fmt=None, meta=None):
"""Joins adjacent Str elements found in `value`."""
if key in ['Para', 'Plain']:
_join_strings(value)
elif key == 'Span':
_join_strings(value, 1)
elif key == 'Image':
_join_strings(value[-2])
elif key == 'Table':
_join_strings(value[-5])
# repair_refs() -------------------------------------------------------------
# Reference pattern. This splits a reference into three components: the
# prefix, label and suffix. e.g.:
# >>> _REF.match('xxx{+@fig:1}xxx').groups()
# ('xxx{+', 'fig:1', '}xxx').
示例4: repair_refs
# 需要导入模块: import pandocfilters [as 别名]
# 或者: from pandocfilters import Str [as 别名]
def repair_refs(key, value, fmt, meta): # pylint: disable=unused-argument
"""Using '-f markdown+autolink_bare_uris' with pandoc < 1.18 splits a
reference like '{@fig:one}' into email Link and Str elements. This
function replaces the mess with the Cite and Str elements we normally
get. Call this before any reference processing."""
if _PANDOCVERSION >= '1.18':
return
# The problem spans multiple elements, and so can only be identified in
# element lists. Element lists are encapsulated in different ways. We
# must process them all.
if key in ('Para', 'Plain'):
_repair_refs(value)
elif key == 'Image':
_repair_refs(value[-2])
elif key == 'Table':
_repair_refs(value[-5])
# process_refs_factory() -----------------------------------------------------
示例5: _adjust_caption
# 需要导入模块: import pandocfilters [as 别名]
# 或者: from pandocfilters import Str [as 别名]
def _adjust_caption(fmt, table, value):
"""Adjusts the caption."""
attrs, caption = table['attrs'], table['caption']
num = references[attrs.id].num
if fmt in['latex', 'beamer']: # Append a \label if this is referenceable
if not table['is_unreferenceable']:
value[1] += [RawInline('tex', r'\label{%s}'%attrs.id)]
else: # Hard-code in the caption name and number/tag
sep = {'none':'', 'colon':':', 'period':'.', 'space':' ',
'quad':u'\u2000', 'newline':'\n'}[separator]
if isinstance(num, int): # Numbered reference
if fmt in ['html', 'html5', 'epub', 'epub2', 'epub3']:
value[1] = [RawInline('html', r'<span>'),
Str(captionname), Space(),
Str('%d%s'%(num, sep)),
RawInline('html', r'</span>')]
else:
value[1] = [Str(captionname),
Space(),
Str('%d%s'%(num, sep))]
value[1] += [Space()] + list(caption)
else: # Tagged reference
assert isinstance(num, STRTYPES)
if num.startswith('$') and num.endswith('$'):
math = num.replace(' ', r'\ ')[1:-1]
els = [Math({"t":"InlineMath", "c":[]}, math), Str(sep)]
else: # Text
els = [Str(num + sep)]
if fmt in ['html', 'html5', 'epub', 'epub2', 'epub3']:
value[1] = \
[RawInline('html', r'<span>'),
Str(captionname),
Space()] + els + [RawInline('html', r'</span>')]
else:
value[1] = [Str(captionname), Space()] + els
value[1] += [Space()] + list(caption)
示例6: get_meta
# 需要导入模块: import pandocfilters [as 别名]
# 或者: from pandocfilters import Str [as 别名]
def get_meta(meta, name):
"""Retrieves the metadata variable `name` from the `meta` dict."""
assert name in meta
data = meta[name]
if data['t'] in ['MetaString', 'MetaBool']:
return data['c']
if data['t'] == 'MetaInlines':
# Handle bug in pandoc 2.2.3 and 2.2.3.1: Return boolean value rather
# than strings, as appropriate.
if len(data['c']) == 1 and data['c'][0]['t'] == 'Str':
if data['c'][0]['c'] in ['true', 'True', 'TRUE']:
return True
if data['c'][0]['c'] in ['false', 'False', 'FALSE']:
return False
return stringify(data['c'])
if data['t'] == 'MetaList':
try: # Process MetaList of MetaMaps
ret = []
for v in data['c']:
assert v['t'] == 'MetaMap'
entry = {}
for key in v['c']:
entry[key] = stringify(v['c'][key])
ret.append(entry)
return ret
except AssertionError:
pass
return [stringify(v['c']) for v in data['c']]
if data['t'] == 'MetaMap':
ret = {}
for key in data['c']:
ret[key] = stringify(data['c'][key])
return ret
raise RuntimeError("Could not understand metadata variable '%s'." % name)
# elt() ----------------------------------------------------------------------
示例7: quotify
# 需要导入模块: import pandocfilters [as 别名]
# 或者: from pandocfilters import Str [as 别名]
def quotify(x):
"""Replaces Quoted elements in element list `x` with quoted strings.
Pandoc uses the Quoted element when '--smart' is enabled. Note that
output to TeX/pdf automatically triggers '--smart'.
stringify() ignores Quoted elements. Use quotify() first to replace
Quoted elements in `x` with quoted strings. `x` should be a deep copy so
that the underlying document is left untouched.
Returns `x`, modified in-place.
"""
def _quotify(key, value, fmt, meta): # pylint: disable=unused-argument
"""Replaced Quoted elements with quoted strings."""
if key == 'Quoted':
ret = []
quote = '"' if value[0]['t'] == 'DoubleQuote' else "'"
if value[1][0]['t'] == 'Str':
value[1][0]['c'] = quote + value[1][0]['c']
else:
ret.append(Str(quote))
if value[1][-1]['t'] == 'Str':
value[1][-1]['c'] = value[1][-1]['c'] + quote
ret += value[1]
else:
ret += value[1] + [Str(quote)]
return ret
return None
return walk(walk(x, _quotify, '', {}), join_strings, '', {})
# dollarfy() -----------------------------------------------------------------
示例8: _join_strings
# 需要导入模块: import pandocfilters [as 别名]
# 或者: from pandocfilters import Str [as 别名]
def _join_strings(x, start=0):
"""Joins adjacent Str elements found in the element list `x`."""
for i in range(start, len(x)-1): # Process successive pairs of elements
if x[i]['t'] == 'Str' and x[i+1]['t'] == 'Str':
x[i]['c'] += x[i+1]['c']
del x[i+1] # In-place deletion of element from list
return None # Forces processing to repeat
return True # Terminates processing
# pylint: disable=unused-argument
示例9: detach_attrs_factory
# 需要导入模块: import pandocfilters [as 别名]
# 或者: from pandocfilters import Str [as 别名]
def detach_attrs_factory(f, restore=False):
"""Returns detach_attrs(key, value, fmt, meta) action that detaches
attributes attached to elements of type `f` (e.g. pandocfilters.Math, etc).
Attributes provided natively by pandoc are left as is."""
# Get the name and standard length
name = f.__closure__[0].cell_contents
n = f.__closure__[1].cell_contents
def detach_attrs(key, value, fmt, meta): # pylint: disable=unused-argument
"""Detaches the attributes."""
if key == name:
assert len(value) <= n+1
if len(value) == n+1:
# Make sure value[0] represents attributes then delete
assert len(value[0]) == 3
assert isinstance(value[0][0], STRTYPES)
assert isinstance(value[0][1], list)
assert isinstance(value[0][2], list)
attrs = PandocAttributes(value[0], 'pandoc')
del value[0]
if restore:
return [elt(key, *value), Str(attrs.to_markdown())]
return None
return detach_attrs
# insert_secnos_factory() ----------------------------------------------------
示例10: _adjust_caption
# 需要导入模块: import pandocfilters [as 别名]
# 或者: from pandocfilters import Str [as 别名]
def _adjust_caption(fmt, fig, value):
"""Adjusts the caption."""
attrs, caption = fig['attrs'], fig['caption']
if fmt in ['latex', 'beamer']: # Append a \label if this is referenceable
if PANDOCVERSION < '1.17' and not fig['is_unreferenceable']:
# pandoc >= 1.17 installs \label for us
value[0]['c'][1] += \
[RawInline('tex', r'\protect\label{%s}'%attrs.id)]
else: # Hard-code in the caption name and number/tag
if fig['is_unnumbered']:
return
sep = {'none':'', 'colon':':', 'period':'.', 'space':' ',
'quad':u'\u2000', 'newline':'\n'}[separator]
num = targets[attrs.id].num
if isinstance(num, int): # Numbered target
if fmt in ['html', 'html5', 'epub', 'epub2', 'epub3']:
value[0]['c'][1] = [RawInline('html', r'<span>'),
Str(captionname), Space(),
Str('%d%s' % (num, sep)),
RawInline('html', r'</span>')]
else:
value[0]['c'][1] = [Str(captionname),
Space(),
Str('%d%s' % (num, sep))]
value[0]['c'][1] += [Space()] + list(caption)
else: # Tagged target
if num.startswith('$') and num.endswith('$'): # Math
math = num.replace(' ', r'\ ')[1:-1]
els = [Math({"t":"InlineMath", "c":[]}, math), Str(sep)]
else: # Text
els = [Str(num+sep)]
if fmt in ['html', 'html5', 'epub', 'epub2', 'epub3']:
value[0]['c'][1] = \
[RawInline('html', r'<span>'),
Str(captionname),
Space()] + els + [RawInline('html', r'</span>')]
else:
value[0]['c'][1] = [Str(captionname), Space()] + els
value[0]['c'][1] += [Space()] + list(caption)
示例11: _add_markup
# 需要导入模块: import pandocfilters [as 别名]
# 或者: from pandocfilters import Str [as 别名]
def _add_markup(fmt, eq, value):
"""Adds markup to the output."""
attrs = eq['attrs']
# Context-dependent output
if eq['is_unnumbered']: # Unnumbered is also unreferenceable
ret = None
elif fmt in ['latex', 'beamer']:
ret = RawInline('tex',
r'\begin{equation}%s\end{equation}'%value[-1])
elif fmt in ('html', 'html5', 'epub', 'epub2', 'epub3') and \
LABEL_PATTERN.match(attrs.id):
# Present equation and its number in a span
num = str(references[attrs.id].num)
outer = RawInline('html',
'<span%sclass="eqnos">' % \
(' ' if eq['is_unreferenceable'] else
' id="%s" '%attrs.id))
inner = RawInline('html', '<span class="eqnos-number">')
eqno = Math({"t":"InlineMath"}, '(%s)' % num[1:-1]) \
if num.startswith('$') and num.endswith('$') \
else Str('(%s)' % num)
endtags = RawInline('html', '</span></span>')
ret = [outer, AttrMath(*value), inner, eqno, endtags]
elif fmt == 'docx':
# As per http://officeopenxml.com/WPhyperlink.php
bookmarkstart = \
RawInline('openxml',
'<w:bookmarkStart w:id="0" w:name="%s"/><w:r><w:t>'
%attrs.id)
bookmarkend = \
RawInline('openxml',
'</w:t></w:r><w:bookmarkEnd w:id="0"/>')
ret = [bookmarkstart, AttrMath(*value), bookmarkend]
return ret
示例12: metavars
# 需要导入模块: import pandocfilters [as 别名]
# 或者: from pandocfilters import Str [as 别名]
def metavars(key, value, format, meta):
if key == 'Str':
m = pattern.match(value)
if m:
field = m.group(1)
result = meta.get(field, {})
if 'MetaInlines' in result['t']:
return Span(attributes({'class': 'interpolated',
'field': field}),
result['c'])
elif 'MetaString' in result[t]:
return Str(result['c'])
示例13: graphviz
# 需要导入模块: import pandocfilters [as 别名]
# 或者: from pandocfilters import Str [as 别名]
def graphviz(key, value, format, meta):
if key == 'CodeBlock':
[[ident, classes, keyvals], code] = value
caption = "caption"
if "graphviz" in classes:
G = pygraphviz.AGraph(string=code)
G.layout()
filename = sha1(code)
if format == "html":
filetype = "png"
elif format == "latex":
filetype = "pdf"
else:
filetype = "png"
alt = Str(caption)
src = imagedir + '/' + filename + '.' + filetype
if not os.path.isfile(src):
try:
os.mkdir(imagedir)
sys.stderr.write('Created directory ' + imagedir + '\n')
except OSError:
pass
G.draw(src)
sys.stderr.write('Created image ' + src + '\n')
tit = ""
return Para([Image(['', [], []], [alt], [src, tit])])
示例14: filter_keyvalues
# 需要导入模块: import pandocfilters [as 别名]
# 或者: from pandocfilters import Str [as 别名]
def filter_keyvalues(kv):
res = []
caption = []
for k,v in kv:
if k == u"caption":
caption = [ Str(v) ]
else:
res.append( [k,v] )
return caption, "fig:" if caption else "", res
示例15: caps
# 需要导入模块: import pandocfilters [as 别名]
# 或者: from pandocfilters import Str [as 别名]
def caps(key, value, format, meta):
if key == 'Str':
return Str(value.upper())