本文整理汇总了Python中calibre.ebooks.conversion.utils.HeuristicProcessor.punctuation_unwrap方法的典型用法代码示例。如果您正苦于以下问题：Python HeuristicProcessor.punctuation_unwrap方法的具体用法？Python HeuristicProcessor.punctuation_unwrap怎么用？Python HeuristicProcessor.punctuation_unwrap使用的例子？那么恭喜您, 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calibre.ebooks.conversion.utils.HeuristicProcessor的用法示例。
在下文中一共展示了HeuristicProcessor.punctuation_unwrap方法的1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: convert
# 需要导入模块: from calibre.ebooks.conversion.utils import HeuristicProcessor [as 别名]
# 或者: from calibre.ebooks.conversion.utils.HeuristicProcessor import punctuation_unwrap [as 别名]
#.........这里部分代码省略.........
if options.paragraph_type == 'auto':
options.paragraph_type = detect_paragraph_type(txt)
if options.paragraph_type == 'unknown':
log.debug('Could not reliably determine paragraph type using block')
options.paragraph_type = 'block'
else:
log.debug('Auto detected paragraph type as %s' % options.paragraph_type)
# Detect formatting
if options.formatting_type == 'auto':
options.formatting_type = detect_formatting_type(txt)
log.debug('Auto detected formatting as %s' % options.formatting_type)
if options.formatting_type == 'heuristic':
setattr(options, 'enable_heuristics', True)
setattr(options, 'unwrap_lines', False)
setattr(options, 'smarten_punctuation', True)
# Reformat paragraphs to block formatting based on the detected type.
# We don't check for block because the processor assumes block.
# single and print at transformed to block for processing.
if options.paragraph_type == 'single':
txt = separate_paragraphs_single_line(txt)
elif options.paragraph_type == 'print':
txt = separate_hard_scene_breaks(txt)
txt = separate_paragraphs_print_formatted(txt)
txt = block_to_single_line(txt)
elif options.paragraph_type == 'unformatted':
from calibre.ebooks.conversion.utils import HeuristicProcessor
# unwrap lines based on punctuation
docanalysis = DocAnalysis('txt', txt)
length = docanalysis.line_length(.5)
preprocessor = HeuristicProcessor(options, log=getattr(self, 'log', None))
txt = preprocessor.punctuation_unwrap(length, txt, 'txt')
txt = separate_paragraphs_single_line(txt)
elif options.paragraph_type == 'block':
txt = separate_hard_scene_breaks(txt)
txt = block_to_single_line(txt)
if getattr(options, 'enable_heuristics', False) and getattr(options, 'dehyphenate', False):
docanalysis = DocAnalysis('txt', txt)
if not length:
length = docanalysis.line_length(.5)
dehyphenator = Dehyphenator(options.verbose, log=self.log)
txt = dehyphenator(txt,'txt', length)
# User requested transformation on the text.
if options.txt_in_remove_indents:
txt = remove_indents(txt)
# Preserve spaces will replace multiple spaces to a space
# followed by the entity.
if options.preserve_spaces:
txt = preserve_spaces(txt)
# Process the text using the appropriate text processor.
html = ''
input_mi = None
if options.formatting_type == 'markdown':
log.debug('Running text through markdown conversion...')
try:
input_mi, html = convert_markdown_with_metadata(txt, extensions=[x.strip() for x in options.markdown_extensions.split(',') if x.strip()])
except RuntimeError:
raise ValueError('This txt file has malformed markup, it cannot be'
' converted by calibre. See https://daringfireball.net/projects/markdown/syntax')
elif options.formatting_type == 'textile':