Python copyreg.dispatch_table() Examples
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code examples of copyreg.dispatch_table().
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Example #1
Source File: reduction.py From Fluid-Designer with GNU General Public License v3.0 | 5 votes |
def __init__(self, *args): super().__init__(*args) self.dispatch_table = self._copyreg_dispatch_table.copy() self.dispatch_table.update(self._extra_reducers)
Example #2
Source File: reduction.py From Imogen with MIT License | 5 votes |
def __init__(self, *args): super().__init__(*args) self.dispatch_table = self._copyreg_dispatch_table.copy() self.dispatch_table.update(self._extra_reducers)
Example #3
Source File: reduction.py From ironpython3 with Apache License 2.0 | 5 votes |
def __init__(self, *args): super().__init__(*args) self.dispatch_table = self._copyreg_dispatch_table.copy() self.dispatch_table.update(self._extra_reducers)
Example #4
Source File: test_copyreg.py From ironpython3 with Apache License 2.0 | 5 votes |
def test_dispatch_table(self): result = copyreg.dispatch_table #CodePlex Work Item 8522 #self.assertEqual(5,len(result)) temp = { "abc":"abc123", "def":"def123", "ghi":"ghi123" } copyreg.dispatch_table = temp self.assertEqual(temp,copyreg.dispatch_table) temp = { 1:"abc123", 2:"def123", 3:"ghi123" } copyreg.dispatch_table = temp self.assertEqual(temp,copyreg.dispatch_table) temp = { 1:123, 8:789, 16:45465 } copyreg.dispatch_table = temp self.assertEqual(temp,copyreg.dispatch_table) #set dispathc_table as empty temp ={} copyreg.dispatch_table = temp self.assertEqual(temp,copyreg.dispatch_table)
Example #5
Source File: reduction.py From Project-New-Reign---Nemesis-Main with GNU General Public License v3.0 | 5 votes |
def __init__(self, *args): super().__init__(*args) self.dispatch_table = self._copyreg_dispatch_table.copy() self.dispatch_table.update(self._extra_reducers)
Example #6
Source File: representer.py From opsbro with MIT License | 4 votes |
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 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)
Example #7
Source File: representer.py From odoo12-x64 with GNU General Public License v3.0 | 4 votes |
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 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 = '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)
Example #8
Source File: representer.py From SqueezeMeta with GNU General Public License v3.0 | 4 votes |
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 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 = '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)
Example #9
Source File: representer.py From aws-kube-codesuite with Apache License 2.0 | 4 votes |
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 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 = '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)
Example #10
Source File: representer.py From ansible-cmdb with GNU General Public License v3.0 | 4 votes |
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 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 = '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)
Example #11
Source File: representer.py From V1EngineeringInc-Docs with Creative Commons Attribution Share Alike 4.0 International | 4 votes |
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)
Example #12
Source File: representer.py From Carnets with BSD 3-Clause "New" or "Revised" License | 4 votes |
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)
Example #13
Source File: representer.py From bazarr with GNU General Public License v3.0 | 4 votes |
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)
Example #14
Source File: _pycoder.py From MIA-Dictionary-Addon with GNU General Public License v3.0 | 4 votes |
def pyobjectEncode(self, coder): t = type(self) # Find builtin support f = encode_dispatch.get(t) if f is not None: f(coder, self) return # Check for a class with a custom metaclass # NOTE: pickle.py catches TypeError here, that's for # compatibility with ancient versions of Boost # (before Python 2.2) and is not needed here. issc = issubclass(t, type) if issc: save_global(coder, self) return # Check copyreg.dispatch_table reduce = copyreg.dispatch_table.get(t) if reduce is not None: rv = reduce(self) else: reduce = getattr(self, "__reduce_ex__", None) rv = reduce(2) if type(rv) is str: save_global(coder, self, rv) return if type(rv) is not tuple: raise PicklingError("%s must return string or tuple" % reduce) l = len(rv) if not (2 <= l <= 5): raise PicklingError( "Tuple returned by %s must have two to " "five elements" % reduce ) save_reduce(coder, *rv)
Example #15
Source File: representer.py From odoo13-x64 with GNU General Public License v3.0 | 4 votes |
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)
Example #16
Source File: representer.py From fips with MIT License | 4 votes |
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 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 = '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)
Example #17
Source File: representer.py From opsbro with MIT License | 4 votes |
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 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)
Example #18
Source File: representer.py From misp42splunk with GNU Lesser General Public License v3.0 | 4 votes |
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)
Example #19
Source File: representer.py From bash-lambda-layer with MIT License | 4 votes |
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)
Example #20
Source File: representer.py From cronyo with MIT License | 4 votes |
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)
Example #21
Source File: representer.py From GraphicDesignPatternByPython with MIT License | 4 votes |
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 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 = '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)
Example #22
Source File: representer.py From pipenv with MIT License | 4 votes |
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)
Example #23
Source File: representer.py From deepWordBug with Apache License 2.0 | 4 votes |
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 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 = '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)
Example #24
Source File: representer.py From anpr with Creative Commons Attribution 4.0 International | 4 votes |
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 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 = '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)
Example #25
Source File: representer.py From misp42splunk with GNU Lesser General Public License v3.0 | 4 votes |
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)