Python pip._vendor.ordereddict 模块，OrderedDict() 实例源码

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())

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())