+
−
+
−__all__ = ['BaseRepresenter', 'SafeRepresenter', 'Representer',
+
−    'RepresenterError']
+
−
+
−from .error import *
+
−from .nodes import *
+
−
+
−import datetime, copyreg, types, base64, collections
+
−
+
−class RepresenterError(YAMLError):
+
−    pass
+
−
+
−class BaseRepresenter:
+
−
+
−    yaml_representers = {}
+
−    yaml_multi_representers = {}
+
−
+
−    def __init__(self, default_style=None, default_flow_style=False, sort_keys=True):
+
−        self.default_style = default_style
+
−        self.sort_keys = sort_keys
+
−        self.default_flow_style = default_flow_style
+
−        self.represented_objects = {}
+
−        self.object_keeper = []
+
−        self.alias_key = None
+
−
+
−    def represent(self, data):
+
−        node = self.represent_data(data)
+
−        self.serialize(node)
+
−        self.represented_objects = {}
+
−        self.object_keeper = []
+
−        self.alias_key = None
+
−
+
−    def represent_data(self, data):
+
−        if self.ignore_aliases(data):
+
−            self.alias_key = None
+
−        else:
+
−            self.alias_key = id(data)
+
−        if self.alias_key is not None:
+
−            if self.alias_key in self.represented_objects:
+
−                node = self.represented_objects[self.alias_key]
+
−                #if node is None:
+
−                #    raise RepresenterError("recursive objects are not allowed: %r" % data)
+
−                return node
+
−            #self.represented_objects[alias_key] = None
+
−            self.object_keeper.append(data)
+
−        data_types = type(data).__mro__
+
−        if data_types[0] in self.yaml_representers:
+
−            node = self.yaml_representers[data_types[0]](self, data)
+
−        else:
+
−            for data_type in data_types:
+
−                if data_type in self.yaml_multi_representers:
+
−                    node = self.yaml_multi_representers[data_type](self, data)
+
−                    break
+
−            else:
+
−                if None in self.yaml_multi_representers:
+
−                    node = self.yaml_multi_representers[None](self, data)
+
−                elif None in self.yaml_representers:
+
−                    node = self.yaml_representers[None](self, data)
+
−                else:
+
−                    node = ScalarNode(None, str(data))
+
−        #if alias_key is not None:
+
−        #    self.represented_objects[alias_key] = node
+
−        return node
+
−
+
−    @classmethod
+
−    def add_representer(cls, data_type, representer):
+
−        if not 'yaml_representers' in cls.__dict__:
+
−            cls.yaml_representers = cls.yaml_representers.copy()
+
−        cls.yaml_representers[data_type] = representer
+
−
+
−    @classmethod
+
−    def add_multi_representer(cls, data_type, representer):
+
−        if not 'yaml_multi_representers' in cls.__dict__:
+
−            cls.yaml_multi_representers = cls.yaml_multi_representers.copy()
+
−        cls.yaml_multi_representers[data_type] = representer
+
−
+
−    def represent_scalar(self, tag, value, style=None):
+
−        if style is None:
+
−            style = self.default_style
+
−        node = ScalarNode(tag, value, style=style)
+
−        if self.alias_key is not None:
+
−            self.represented_objects[self.alias_key] = node
+
−        return node
+
−
+
−    def represent_sequence(self, tag, sequence, flow_style=None):
+
−        value = []
+
−        node = SequenceNode(tag, value, flow_style=flow_style)
+
−        if self.alias_key is not None:
+
−            self.represented_objects[self.alias_key] = node
+
−        best_style = True
+
−        for item in sequence:
+
−            node_item = self.represent_data(item)
+
−            if not (isinstance(node_item, ScalarNode) and not node_item.style):
+
−                best_style = False
+
−            value.append(node_item)
+
−        if flow_style is None:
+
−            if self.default_flow_style is not None:
+
−                node.flow_style = self.default_flow_style
+
−            else:
+
−                node.flow_style = best_style
+
−        return node
+
−
+
−    def represent_mapping(self, tag, mapping, flow_style=None):
+
−        value = []
+
−        node = MappingNode(tag, value, flow_style=flow_style)
+
−        if self.alias_key is not None:
+
−            self.represented_objects[self.alias_key] = node
+
−        best_style = True
+
−        if hasattr(mapping, 'items'):
+
−            mapping = list(mapping.items())
+
−            if self.sort_keys:
+
−                try:
+
−                    mapping = sorted(mapping)
+
−                except TypeError:
+
−                    pass
+
−        for item_key, item_value in mapping:
+
−            node_key = self.represent_data(item_key)
+
−            node_value = self.represent_data(item_value)
+
−            if not (isinstance(node_key, ScalarNode) and not node_key.style):
+
−                best_style = False
+
−            if not (isinstance(node_value, ScalarNode) and not node_value.style):
+
−                best_style = False
+
−            value.append((node_key, node_value))
+
−        if flow_style is None:
+
−            if self.default_flow_style is not None:
+
−                node.flow_style = self.default_flow_style
+
−            else:
+
−                node.flow_style = best_style
+
−        return node
+
−
+
−    def ignore_aliases(self, data):
+
−        return False
+
−
+
−class SafeRepresenter(BaseRepresenter):
+
−
+
−    def ignore_aliases(self, data):
+
−        if data is None:
+
−            return True
+
−        if isinstance(data, tuple) and data == ():
+
−            return True
+
−        if isinstance(data, (str, bytes, bool, int, float)):
+
−            return True
+
−
+
−    def represent_none(self, data):
+
−        return self.represent_scalar('tag:yaml.org,2002:null', 'null')
+
−
+
−    def represent_str(self, data):
+
−        return self.represent_scalar('tag:yaml.org,2002:str', data)
+
−
+
−    def represent_binary(self, data):
+
−        if hasattr(base64, 'encodebytes'):
+
−            data = base64.encodebytes(data).decode('ascii')
+
−        else:
+
−            data = base64.encodestring(data).decode('ascii')
+
−        return self.represent_scalar('tag:yaml.org,2002:binary', data, style='|')
+
−
+
−    def represent_bool(self, data):
+
−        if data:
+
−            value = 'true'
+
−        else:
+
−            value = 'false'
+
−        return self.represent_scalar('tag:yaml.org,2002:bool', value)
+
−
+
−    def represent_int(self, data):
+
−        return self.represent_scalar('tag:yaml.org,2002:int', str(data))
+
−
+
−    inf_value = 1e300
+
−    while repr(inf_value) != repr(inf_value*inf_value):
+
−        inf_value *= inf_value
+
−
+
−    def represent_float(self, data):
+
−        if data != data or (data == 0.0 and data == 1.0):
+
−            value = '.nan'
+
−        elif data == self.inf_value:
+
−            value = '.inf'
+
−        elif data == -self.inf_value:
+
−            value = '-.inf'
+
−        else:
+
−            value = repr(data).lower()
+
−            # Note that in some cases `repr(data)` represents a float number
+
−            # without the decimal parts.  For instance:
+
−            #   >>> repr(1e17)
+
−            #   '1e17'
+
−            # Unfortunately, this is not a valid float representation according
+
−            # to the definition of the `!!float` tag.  We fix this by adding
+
−            # '.0' before the 'e' symbol.
+
−            if '.' not in value and 'e' in value:
+
−                value = value.replace('e', '.0e', 1)
+
−        return self.represent_scalar('tag:yaml.org,2002:float', value)
+
−
+
−    def represent_list(self, data):
+
−        #pairs = (len(data) > 0 and isinstance(data, list))
+
−        #if pairs:
+
−        #    for item in data:
+
−        #        if not isinstance(item, tuple) or len(item) != 2:
+
−        #            pairs = False
+
−        #            break
+
−        #if not pairs:
+
−            return self.represent_sequence('tag:yaml.org,2002:seq', data)
+
−        #value = []
+
−        #for item_key, item_value in data:
+
−        #    value.append(self.represent_mapping(u'tag:yaml.org,2002:map',
+
−        #        [(item_key, item_value)]))
+
−        #return SequenceNode(u'tag:yaml.org,2002:pairs', value)
+
−
+
−    def represent_dict(self, data):
+
−        return self.represent_mapping('tag:yaml.org,2002:map', data)
+
−
+
−    def represent_set(self, data):
+
−        value = {}
+
−        for key in data:
+
−            value[key] = None
+
−        return self.represent_mapping('tag:yaml.org,2002:set', value)
+
−
+
−    def represent_date(self, data):
+
−        value = data.isoformat()
+
−        return self.represent_scalar('tag:yaml.org,2002:timestamp', value)
+
−
+
−    def represent_datetime(self, data):
+
−        value = data.isoformat(' ')
+
−        return self.represent_scalar('tag:yaml.org,2002:timestamp', value)
+
−
+
−    def represent_yaml_object(self, tag, data, cls, flow_style=None):
+
−        if hasattr(data, '__getstate__'):
+
−            state = data.__getstate__()
+
−        else:
+
−            state = data.__dict__.copy()
+
−        return self.represent_mapping(tag, state, flow_style=flow_style)
+
−
+
−    def represent_undefined(self, data):
+
−        raise RepresenterError("cannot represent an object", data)
+
−
+
−SafeRepresenter.add_representer(type(None),
+
−        SafeRepresenter.represent_none)
+
−
+
−SafeRepresenter.add_representer(str,
+
−        SafeRepresenter.represent_str)
+
−
+
−SafeRepresenter.add_representer(bytes,
+
−        SafeRepresenter.represent_binary)
+
−
+
−SafeRepresenter.add_representer(bool,
+
−        SafeRepresenter.represent_bool)
+
−
+
−SafeRepresenter.add_representer(int,
+
−        SafeRepresenter.represent_int)
+
−
+
−SafeRepresenter.add_representer(float,
+
−        SafeRepresenter.represent_float)
+
−
+
−SafeRepresenter.add_representer(list,
+
−        SafeRepresenter.represent_list)
+
−
+
−SafeRepresenter.add_representer(tuple,
+
−        SafeRepresenter.represent_list)
+
−
+
−SafeRepresenter.add_representer(dict,
+
−        SafeRepresenter.represent_dict)
+
−
+
−SafeRepresenter.add_representer(set,
+
−        SafeRepresenter.represent_set)
+
−
+
−SafeRepresenter.add_representer(datetime.date,
+
−        SafeRepresenter.represent_date)
+
−
+
−SafeRepresenter.add_representer(datetime.datetime,
+
−        SafeRepresenter.represent_datetime)
+
−
+
−SafeRepresenter.add_representer(None,
+
−        SafeRepresenter.represent_undefined)
+
−
+
−class Representer(SafeRepresenter):
+
−
+
−    def represent_complex(self, data):
+
−        if data.imag == 0.0:
+
−            data = '%r' % data.real
+
−        elif data.real == 0.0:
+
−            data = '%rj' % data.imag
+
−        elif data.imag > 0:
+
−            data = '%r+%rj' % (data.real, data.imag)
+
−        else:
+
−            data = '%r%rj' % (data.real, data.imag)
+
−        return self.represent_scalar('tag:yaml.org,2002:python/complex', data)
+
−
+
−    def represent_tuple(self, data):
+
−        return self.represent_sequence('tag:yaml.org,2002:python/tuple', data)
+
−
+
−    def represent_name(self, data):
+
−        name = '%s.%s' % (data.__module__, data.__name__)
+
−        return self.represent_scalar('tag:yaml.org,2002:python/name:'+name, '')
+
−
+
−    def represent_module(self, data):
+
−        return self.represent_scalar(
+
−                'tag:yaml.org,2002:python/module:'+data.__name__, '')
+
−
+
−    def represent_object(self, data):
+
−        # We use __reduce__ API to save the data. data.__reduce__ returns
+
−        # a tuple of length 2-5:
+
−        #   (function, args, state, listitems, dictitems)
+
−
+
−        # For reconstructing, we calls function(*args), then set its state,
+
−        # listitems, and dictitems if they are not None.
+
−
+
−        # A special case is when function.__name__ == '__newobj__'. In this
+
−        # case we create the object with args[0].__new__(*args).
+
−
+
−        # Another special case is when __reduce__ returns a string - we don't
+
−        # support it.
+
−
+
−        # We produce a !!python/object, !!python/object/new or
+
−        # !!python/object/apply node.
+
−
+
−        cls = type(data)
+
−        if cls in copyreg.dispatch_table:
+
−            reduce = copyreg.dispatch_table[cls](data)
+
−        elif hasattr(data, '__reduce_ex__'):
+
−            reduce = data.__reduce_ex__(2)
+
−        elif hasattr(data, '__reduce__'):
+
−            reduce = data.__reduce__()
+
−        else:
+
−            raise RepresenterError("cannot represent an object", data)
+
−        reduce = (list(reduce)+[None]*5)[:5]
+
−        function, args, state, listitems, dictitems = reduce
+
−        args = list(args)
+
−        if state is None:
+
−            state = {}
+
−        if listitems is not None:
+
−            listitems = list(listitems)
+
−        if dictitems is not None:
+
−            dictitems = dict(dictitems)
+
−        if function.__name__ == '__newobj__':
+
−            function = args[0]
+
−            args = args[1:]
+
−            tag = 'tag:yaml.org,2002:python/object/new:'
+
−            newobj = True
+
−        else:
+
−            tag = 'tag:yaml.org,2002:python/object/apply:'
+
−            newobj = False
+
−        function_name = '%s.%s' % (function.__module__, function.__name__)
+
−        if not args and not listitems and not dictitems \
+
−                and isinstance(state, dict) and newobj:
+
−            return self.represent_mapping(
+
−                    'tag:yaml.org,2002:python/object:'+function_name, state)
+
−        if not listitems and not dictitems  \
+
−                and isinstance(state, dict) and not state:
+
−            return self.represent_sequence(tag+function_name, args)
+
−        value = {}
+
−        if args:
+
−            value['args'] = args
+
−        if state or not isinstance(state, dict):
+
−            value['state'] = state
+
−        if listitems:
+
−            value['listitems'] = listitems
+
−        if dictitems:
+
−            value['dictitems'] = dictitems
+
−        return self.represent_mapping(tag+function_name, value)
+
−
+
−    def represent_ordered_dict(self, data):
+
−        # Provide uniform representation across different Python versions.
+
−        data_type = type(data)
+
−        tag = 'tag:yaml.org,2002:python/object/apply:%s.%s' \
+
−                % (data_type.__module__, data_type.__name__)
+
−        items = [[key, value] for key, value in data.items()]
+
−        return self.represent_sequence(tag, [items])
+
−
+
−Representer.add_representer(complex,
+
−        Representer.represent_complex)
+
−
+
−Representer.add_representer(tuple,
+
−        Representer.represent_tuple)
+
−
+
−Representer.add_multi_representer(type,
+
−        Representer.represent_name)
+
−
+
−Representer.add_representer(collections.OrderedDict,
+
−        Representer.represent_ordered_dict)
+
−
+
−Representer.add_representer(types.FunctionType,
+
−        Representer.represent_name)
+
−
+
−Representer.add_representer(types.BuiltinFunctionType,
+
−        Representer.represent_name)
+
−
+
−Representer.add_representer(types.ModuleType,
+
−        Representer.represent_module)
+
−
+
−Representer.add_multi_representer(object,
+
−        Representer.represent_object)
+
−