def normalizeToken(self, token):
""" HTML5 specific normalizations to the token stream """
if token["type"] == tokenTypes["StartTag"]:
raw = token["data"]
token["data"] = OrderedDict(raw)
if len(raw) > len(token["data"]):
# we had some duplicated attribute, fix so first wins
token["data"].update(raw[::-1])
return token
python类OrderedDict()的实例源码
def adjust_attributes(token, replacements):
if PY3 or _utils.PY27:
needs_adjustment = viewkeys(token['data']) & viewkeys(replacements)
else:
needs_adjustment = frozenset(token['data']) & frozenset(replacements)
if needs_adjustment:
token['data'] = OrderedDict((replacements.get(k, k), v)
for k, v in token['data'].items())
def normalizeToken(self, token):
""" HTML5 specific normalizations to the token stream """
if token["type"] == tokenTypes["StartTag"]:
raw = token["data"]
token["data"] = OrderedDict(raw)
if len(raw) > len(token["data"]):
# we had some duplicated attribute, fix so first wins
token["data"].update(raw[::-1])
return token
def adjust_attributes(token, replacements):
if PY3 or _utils.PY27:
needs_adjustment = viewkeys(token['data']) & viewkeys(replacements)
else:
needs_adjustment = frozenset(token['data']) & frozenset(replacements)
if needs_adjustment:
token['data'] = OrderedDict((replacements.get(k, k), v)
for k, v in token['data'].items())
def normalizeToken(self, token):
""" HTML5 specific normalizations to the token stream """
if token["type"] == tokenTypes["StartTag"]:
raw = token["data"]
token["data"] = OrderedDict(raw)
if len(raw) > len(token["data"]):
# we had some duplicated attribute, fix so first wins
token["data"].update(raw[::-1])
return token
def adjust_attributes(token, replacements):
if PY3 or _utils.PY27:
needs_adjustment = viewkeys(token['data']) & viewkeys(replacements)
else:
needs_adjustment = frozenset(token['data']) & frozenset(replacements)
if needs_adjustment:
token['data'] = OrderedDict((replacements.get(k, k), v)
for k, v in token['data'].items())
def normalizeToken(self, token):
""" HTML5 specific normalizations to the token stream """
if token["type"] == tokenTypes["StartTag"]:
raw = token["data"]
token["data"] = OrderedDict(raw)
if len(raw) > len(token["data"]):
# we had some duplicated attribute, fix so first wins
token["data"].update(raw[::-1])
return token
def adjust_attributes(token, replacements):
if PY3 or _utils.PY27:
needs_adjustment = viewkeys(token['data']) & viewkeys(replacements)
else:
needs_adjustment = frozenset(token['data']) & frozenset(replacements)
if needs_adjustment:
token['data'] = OrderedDict((replacements.get(k, k), v)
for k, v in token['data'].items())
def normalizeToken(self, token):
""" HTML5 specific normalizations to the token stream """
if token["type"] == tokenTypes["StartTag"]:
raw = token["data"]
token["data"] = OrderedDict(raw)
if len(raw) > len(token["data"]):
# we had some duplicated attribute, fix so first wins
token["data"].update(raw[::-1])
return token
def adjust_attributes(token, replacements):
if PY3 or _utils.PY27:
needs_adjustment = viewkeys(token['data']) & viewkeys(replacements)
else:
needs_adjustment = frozenset(token['data']) & frozenset(replacements)
if needs_adjustment:
token['data'] = OrderedDict((replacements.get(k, k), v)
for k, v in token['data'].items())
def normalizeToken(self, token):
""" HTML5 specific normalizations to the token stream """
if token["type"] == tokenTypes["StartTag"]:
raw = token["data"]
token["data"] = OrderedDict(raw)
if len(raw) > len(token["data"]):
# we had some duplicated attribute, fix so first wins
token["data"].update(raw[::-1])
return token
def adjust_attributes(token, replacements):
if PY3 or _utils.PY27:
needs_adjustment = viewkeys(token['data']) & viewkeys(replacements)
else:
needs_adjustment = frozenset(token['data']) & frozenset(replacements)
if needs_adjustment:
token['data'] = OrderedDict((replacements.get(k, k), v)
for k, v in token['data'].items())
def normalizeToken(self, token):
""" HTML5 specific normalizations to the token stream """
if token["type"] == tokenTypes["StartTag"]:
raw = token["data"]
token["data"] = OrderedDict(raw)
if len(raw) > len(token["data"]):
# we had some duplicated attribute, fix so first wins
token["data"].update(raw[::-1])
return token
def adjust_attributes(token, replacements):
if PY3 or _utils.PY27:
needs_adjustment = viewkeys(token['data']) & viewkeys(replacements)
else:
needs_adjustment = frozenset(token['data']) & frozenset(replacements)
if needs_adjustment:
token['data'] = OrderedDict((replacements.get(k, k), v)
for k, v in token['data'].items())
def normalizeToken(self, token):
""" HTML5 specific normalizations to the token stream """
if token["type"] == tokenTypes["StartTag"]:
raw = token["data"]
token["data"] = OrderedDict(raw)
if len(raw) > len(token["data"]):
# we had some duplicated attribute, fix so first wins
token["data"].update(raw[::-1])
return token
def adjust_attributes(token, replacements):
if PY3 or _utils.PY27:
needs_adjustment = viewkeys(token['data']) & viewkeys(replacements)
else:
needs_adjustment = frozenset(token['data']) & frozenset(replacements)
if needs_adjustment:
token['data'] = OrderedDict((replacements.get(k, k), v)
for k, v in token['data'].items())
def normalizeToken(self, token):
""" HTML5 specific normalizations to the token stream """
if token["type"] == tokenTypes["StartTag"]:
raw = token["data"]
token["data"] = OrderedDict(raw)
if len(raw) > len(token["data"]):
# we had some duplicated attribute, fix so first wins
token["data"].update(raw[::-1])
return token
def adjust_attributes(token, replacements):
if PY3 or _utils.PY27:
needs_adjustment = viewkeys(token['data']) & viewkeys(replacements)
else:
needs_adjustment = frozenset(token['data']) & frozenset(replacements)
if needs_adjustment:
token['data'] = OrderedDict((replacements.get(k, k), v)
for k, v in token['data'].items())
def normalizeToken(self, token):
""" HTML5 specific normalizations to the token stream """
if token["type"] == tokenTypes["StartTag"]:
raw = token["data"]
token["data"] = OrderedDict(raw)
if len(raw) > len(token["data"]):
# we had some duplicated attribute, fix so first wins
token["data"].update(raw[::-1])
return token
def adjust_attributes(token, replacements):
if PY3 or _utils.PY27:
needs_adjustment = viewkeys(token['data']) & viewkeys(replacements)
else:
needs_adjustment = frozenset(token['data']) & frozenset(replacements)
if needs_adjustment:
token['data'] = OrderedDict((replacements.get(k, k), v)
for k, v in token['data'].items())
def normalizeToken(self, token):
""" HTML5 specific normalizations to the token stream """
if token["type"] == tokenTypes["StartTag"]:
raw = token["data"]
token["data"] = OrderedDict(raw)
if len(raw) > len(token["data"]):
# we had some duplicated attribute, fix so first wins
token["data"].update(raw[::-1])
return token
def adjust_attributes(token, replacements):
if PY3 or _utils.PY27:
needs_adjustment = viewkeys(token['data']) & viewkeys(replacements)
else:
needs_adjustment = frozenset(token['data']) & frozenset(replacements)
if needs_adjustment:
token['data'] = OrderedDict((replacements.get(k, k), v)
for k, v in token['data'].items())
def normalizeToken(self, token):
""" HTML5 specific normalizations to the token stream """
if token["type"] == tokenTypes["StartTag"]:
raw = token["data"]
token["data"] = OrderedDict(raw)
if len(raw) > len(token["data"]):
# we had some duplicated attribute, fix so first wins
token["data"].update(raw[::-1])
return token
def adjust_attributes(token, replacements):
if PY3 or _utils.PY27:
needs_adjustment = viewkeys(token['data']) & viewkeys(replacements)
else:
needs_adjustment = frozenset(token['data']) & frozenset(replacements)
if needs_adjustment:
token['data'] = OrderedDict((replacements.get(k, k), v)
for k, v in token['data'].items())
def normalizeToken(self, token):
""" HTML5 specific normalizations to the token stream """
if token["type"] == tokenTypes["StartTag"]:
raw = token["data"]
token["data"] = OrderedDict(raw)
if len(raw) > len(token["data"]):
# we had some duplicated attribute, fix so first wins
token["data"].update(raw[::-1])
return token
def adjust_attributes(token, replacements):
if PY3 or _utils.PY27:
needs_adjustment = viewkeys(token['data']) & viewkeys(replacements)
else:
needs_adjustment = frozenset(token['data']) & frozenset(replacements)
if needs_adjustment:
token['data'] = OrderedDict((replacements.get(k, k), v)
for k, v in token['data'].items())
def normalizeToken(self, token):
""" HTML5 specific normalizations to the token stream """
if token["type"] == tokenTypes["StartTag"]:
raw = token["data"]
token["data"] = OrderedDict(raw)
if len(raw) > len(token["data"]):
# we had some duplicated attribute, fix so first wins
token["data"].update(raw[::-1])
return token
def adjust_attributes(token, replacements):
if PY3 or _utils.PY27:
needs_adjustment = viewkeys(token['data']) & viewkeys(replacements)
else:
needs_adjustment = frozenset(token['data']) & frozenset(replacements)
if needs_adjustment:
token['data'] = OrderedDict((replacements.get(k, k), v)
for k, v in token['data'].items())
def normalizeToken(self, token):
""" HTML5 specific normalizations to the token stream """
if token["type"] == tokenTypes["StartTag"]:
raw = token["data"]
token["data"] = OrderedDict(raw)
if len(raw) > len(token["data"]):
# we had some duplicated attribute, fix so first wins
token["data"].update(raw[::-1])
return token
def adjust_attributes(token, replacements):
if PY3 or _utils.PY27:
needs_adjustment = viewkeys(token['data']) & viewkeys(replacements)
else:
needs_adjustment = frozenset(token['data']) & frozenset(replacements)
if needs_adjustment:
token['data'] = OrderedDict((replacements.get(k, k), v)
for k, v in token['data'].items())
