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]
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]
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]
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]
