Yu1709$!%yuyu!$%wutu!5=126+

                
____  ___       .__                 
\   \/  /  _____|  |   ______  _  __
 \     /  /  ___/  |  /  _ \ \/ \/ /
 /     \  \___ \|  |_(  <_> )     / 
/___/\  \/____  >____/\____/ \/\_/  
      \_/     \/    @ligmakokz

Editing: representer.py

__all__ = ['BaseRepresenter', 'SafeRepresenter', 'Representer',
    'RepresenterError']

from error import *
from nodes import *

import datetime

import sys, copy_reg, types

class RepresenterError(YAMLError):
    pass

class BaseRepresenter(object):

yaml_representers = {}
    yaml_multi_representers = {}

def __init__(self, default_style=None, default_flow_style=None):
        self.default_style = default_style
        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 get_classobj_bases(self, cls):
        bases = [cls]
        for base in cls.__bases__:
            bases.extend(self.get_classobj_bases(base))
        return bases

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 type(data) is types.InstanceType:
            data_types = self.get_classobj_bases(data.__class__)+list(data_types)
        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, unicode(data))
        #if alias_key is not None:
        #    self.represented_objects[alias_key] = node
        return node

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
    add_representer = classmethod(add_representer)

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
    add_multi_representer = classmethod(add_multi_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 = mapping.items()
            mapping.sort()
        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 in [None, ()]:
            return True
        if isinstance(data, (str, unicode, bool, int, float)):
            return True

def represent_none(self, data):
        return self.represent_scalar(u'tag:yaml.org,2002:null',
                u'null')

def represent_str(self, data):
        tag = None
        style = None
        try:
            data = unicode(data, 'ascii')
            tag = u'tag:yaml.org,2002:str'
        except UnicodeDecodeError:
            try:
                data = unicode(data, 'utf-8')
                tag = u'tag:yaml.org,2002:str'
            except UnicodeDecodeError:
                data = data.encode('base64')
                tag = u'tag:yaml.org,2002:binary'
                style = '|'
        return self.represent_scalar(tag, data, style=style)

def represent_unicode(self, data):
        return self.represent_scalar(u'tag:yaml.org,2002:str', data)

def represent_bool(self, data):
        if data:
            value = u'true'
        else:
            value = u'false'
        return self.represent_scalar(u'tag:yaml.org,2002:bool', value)

def represent_int(self, data):
        return self.represent_scalar(u'tag:yaml.org,2002:int', unicode(data))

def represent_long(self, data):
        return self.represent_scalar(u'tag:yaml.org,2002:int', unicode(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 = u'.nan'
        elif data == self.inf_value:
            value = u'.inf'
        elif data == -self.inf_value:
            value = u'-.inf'
        else:
            value = unicode(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 u'.' not in value and u'e' in value:
                value = value.replace(u'e', u'.0e', 1)
        return self.represent_scalar(u'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(u'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(u'tag:yaml.org,2002:map', data)

def represent_set(self, data):
        value = {}
        for key in data:
            value[key] = None
        return self.represent_mapping(u'tag:yaml.org,2002:set', value)

def represent_date(self, data):
        value = unicode(data.isoformat())
        return self.represent_scalar(u'tag:yaml.org,2002:timestamp', value)

def represent_datetime(self, data):
        value = unicode(data.isoformat(' '))
        return self.represent_scalar(u'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: %s" % data)

SafeRepresenter.add_representer(type(None),
        SafeRepresenter.represent_none)

SafeRepresenter.add_representer(str,
        SafeRepresenter.represent_str)

SafeRepresenter.add_representer(unicode,
        SafeRepresenter.represent_unicode)

SafeRepresenter.add_representer(bool,
        SafeRepresenter.represent_bool)

SafeRepresenter.add_representer(int,
        SafeRepresenter.represent_int)

SafeRepresenter.add_representer(long,
        SafeRepresenter.represent_long)

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_str(self, data):
        tag = None
        style = None
        try:
            data = unicode(data, 'ascii')
            tag = u'tag:yaml.org,2002:str'
        except UnicodeDecodeError:
            try:
                data = unicode(data, 'utf-8')
                tag = u'tag:yaml.org,2002:python/str'
            except UnicodeDecodeError:
                data = data.encode('base64')
                tag = u'tag:yaml.org,2002:binary'
                style = '|'
        return self.represent_scalar(tag, data, style=style)

def represent_unicode(self, data):
        tag = None
        try:
            data.encode('ascii')
            tag = u'tag:yaml.org,2002:python/unicode'
        except UnicodeEncodeError:
            tag = u'tag:yaml.org,2002:str'
        return self.represent_scalar(tag, data)

def represent_long(self, data):
        tag = u'tag:yaml.org,2002:int'
        if int(data) is not data:
            tag = u'tag:yaml.org,2002:python/long'
        return self.represent_scalar(tag, unicode(data))

def represent_complex(self, data):
        if data.imag == 0.0:
            data = u'%r' % data.real
        elif data.real == 0.0:
            data = u'%rj' % data.imag
        elif data.imag > 0:
            data = u'%r+%rj' % (data.real, data.imag)
        else:
            data = u'%r%rj' % (data.real, data.imag)
        return self.represent_scalar(u'tag:yaml.org,2002:python/complex', data)

def represent_tuple(self, data):
        return self.represent_sequence(u'tag:yaml.org,2002:python/tuple', data)

def represent_name(self, data):
        name = u'%s.%s' % (data.__module__, data.__name__)
        return self.represent_scalar(u'tag:yaml.org,2002:python/name:'+name, u'')

def represent_module(self, data):
        return self.represent_scalar(
                u'tag:yaml.org,2002:python/module:'+data.__name__, u'')

def represent_instance(self, data):
        # For instances of classic classes, we use __getinitargs__ and
        # __getstate__ to serialize the data.

# If data.__getinitargs__ exists, the object must be reconstructed by
        # calling cls(**args), where args is a tuple returned by
        # __getinitargs__. Otherwise, the cls.__init__ method should never be
        # called and the class instance is created by instantiating a trivial
        # class and assigning to the instance's __class__ variable.

# If data.__getstate__ exists, it returns the state of the object.
        # Otherwise, the state of the object is data.__dict__.

# We produce either a !!python/object or !!python/object/new node.
        # If data.__getinitargs__ does not exist and state is a dictionary, we
        # produce a !!python/object node . Otherwise we produce a
        # !!python/object/new node.

cls = data.__class__
        class_name = u'%s.%s' % (cls.__module__, cls.__name__)
        args = None
        state = None
        if hasattr(data, '__getinitargs__'):
            args = list(data.__getinitargs__())
        if hasattr(data, '__getstate__'):
            state = data.__getstate__()
        else:
            state = data.__dict__
        if args is None and isinstance(state, dict):
            return self.represent_mapping(
                    u'tag:yaml.org,2002:python/object:'+class_name, state)
        if isinstance(state, dict) and not state:
            return self.represent_sequence(
                    u'tag:yaml.org,2002:python/object/new:'+class_name, args)
        value = {}
        if args:
            value['args'] = args
        value['state'] = state
        return self.represent_mapping(
                u'tag:yaml.org,2002:python/object/new:'+class_name, value)

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 copy_reg.dispatch_table:
            reduce = copy_reg.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 object: %r" % 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 = u'tag:yaml.org,2002:python/object/new:'
            newobj = True
        else:
            tag = u'tag:yaml.org,2002:python/object/apply:'
            newobj = False
        function_name = u'%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(
                    u'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)

Representer.add_representer(str,
        Representer.represent_str)

Representer.add_representer(unicode,
        Representer.represent_unicode)

Representer.add_representer(long,
        Representer.represent_long)

Representer.add_representer(complex,
        Representer.represent_complex)

Representer.add_representer(tuple,
        Representer.represent_tuple)

Representer.add_representer(type,
        Representer.represent_name)

Representer.add_representer(types.ClassType,
        Representer.represent_name)

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(types.InstanceType,
        Representer.represent_instance)

Representer.add_multi_representer(object,
        Representer.represent_object)

Name	Type	Actions
__init__.py	File
__init__.pyc	File
__init__.pyo	File
composer.py	File
composer.pyc	File
composer.pyo	File
constructor.py	File
constructor.pyc	File
constructor.pyo	File
cyaml.py	File
cyaml.pyc	File
cyaml.pyo	File
dumper.py	File
dumper.pyc	File
dumper.pyo	File
emitter.py	File
emitter.pyc	File
emitter.pyo	File
error.py	File
error.pyc	File
error.pyo	File
events.py	File
events.pyc	File
events.pyo	File
loader.py	File
loader.pyc	File
loader.pyo	File
nodes.py	File
nodes.pyc	File
nodes.pyo	File
parser.py	File
parser.pyc	File
parser.pyo	File
reader.py	File
reader.pyc	File
reader.pyo	File
representer.py	File
representer.pyc	File
representer.pyo	File
resolver.py	File
resolver.pyc	File
resolver.pyo	File
scanner.py	File
scanner.pyc	File
scanner.pyo	File
serializer.py	File
serializer.pyc	File
serializer.pyo	File
tokens.py	File
tokens.pyc	File
tokens.pyo	File