本文整理汇总了Python中html5lib.HTMLParser.normalizeToken方法的典型用法代码示例。如果您正苦于以下问题：Python HTMLParser.normalizeToken方法的具体用法？Python HTMLParser.normalizeToken怎么用？Python HTMLParser.normalizeToken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html5lib.HTMLParser的用法示例。
在下文中一共展示了HTMLParser.normalizeToken方法的2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: test_maintain_duplicate_attribute_order
# 需要导入模块: from html5lib import HTMLParser [as 别名]
# 或者: from html5lib.HTMLParser import normalizeToken [as 别名]
def test_maintain_duplicate_attribute_order():
# This is here because we impl it in parser and not tokenizer
p = HTMLParser()
attrs = [(unichr(x), i) for i, x in enumerate(range(ord('a'), ord('z')))]
token = {'name': 'html',
'selfClosing': False,
'selfClosingAcknowledged': False,
'type': tokenTypes["StartTag"],
'data': attrs + [('a', len(attrs))]}
out = p.normalizeToken(token)
attr_order = list(out["data"].keys())
assert attr_order == [x for x, i in attrs]示例2: test_maintain_attribute_order
# 需要导入模块: from html5lib import HTMLParser [as 别名]
# 或者: from html5lib.HTMLParser import normalizeToken [as 别名]
def test_maintain_attribute_order():
# This is here because we impl it in parser and not tokenizer
p = HTMLParser()
# generate loads to maximize the chance a hash-based mutation will occur
attrs = [(unichr(x), i) for i, x in enumerate(range(ord('a'), ord('z')))]
token = {'name': 'html',
'selfClosing': False,
'selfClosingAcknowledged': False,
'type': tokenTypes["StartTag"],
'data': attrs}
out = p.normalizeToken(token)
attr_order = list(out["data"].keys())
assert attr_order == [x for x, i in attrs]