Coverage for /pythoncovmergedfiles/medio/medio/usr/local/lib/python3.8/site-packages/yaml/representer.py: 29%
248 statements
« prev ^ index » next coverage.py v7.3.2, created at 2023-12-08 06:51 +0000
2__all__ = ['BaseRepresenter', 'SafeRepresenter', 'Representer',
3 'RepresenterError']
5from .error import *
6from .nodes import *
8import datetime, copyreg, types, base64, collections
10class RepresenterError(YAMLError):
11 pass
13class BaseRepresenter:
15 yaml_representers = {}
16 yaml_multi_representers = {}
18 def __init__(self, default_style=None, default_flow_style=False, sort_keys=True):
19 self.default_style = default_style
20 self.sort_keys = sort_keys
21 self.default_flow_style = default_flow_style
22 self.represented_objects = {}
23 self.object_keeper = []
24 self.alias_key = None
26 def represent(self, data):
27 node = self.represent_data(data)
28 self.serialize(node)
29 self.represented_objects = {}
30 self.object_keeper = []
31 self.alias_key = None
33 def represent_data(self, data):
34 if self.ignore_aliases(data):
35 self.alias_key = None
36 else:
37 self.alias_key = id(data)
38 if self.alias_key is not None:
39 if self.alias_key in self.represented_objects:
40 node = self.represented_objects[self.alias_key]
41 #if node is None:
42 # raise RepresenterError("recursive objects are not allowed: %r" % data)
43 return node
44 #self.represented_objects[alias_key] = None
45 self.object_keeper.append(data)
46 data_types = type(data).__mro__
47 if data_types[0] in self.yaml_representers:
48 node = self.yaml_representers[data_types[0]](self, data)
49 else:
50 for data_type in data_types:
51 if data_type in self.yaml_multi_representers:
52 node = self.yaml_multi_representers[data_type](self, data)
53 break
54 else:
55 if None in self.yaml_multi_representers:
56 node = self.yaml_multi_representers[None](self, data)
57 elif None in self.yaml_representers:
58 node = self.yaml_representers[None](self, data)
59 else:
60 node = ScalarNode(None, str(data))
61 #if alias_key is not None:
62 # self.represented_objects[alias_key] = node
63 return node
65 @classmethod
66 def add_representer(cls, data_type, representer):
67 if not 'yaml_representers' in cls.__dict__:
68 cls.yaml_representers = cls.yaml_representers.copy()
69 cls.yaml_representers[data_type] = representer
71 @classmethod
72 def add_multi_representer(cls, data_type, representer):
73 if not 'yaml_multi_representers' in cls.__dict__:
74 cls.yaml_multi_representers = cls.yaml_multi_representers.copy()
75 cls.yaml_multi_representers[data_type] = representer
77 def represent_scalar(self, tag, value, style=None):
78 if style is None:
79 style = self.default_style
80 node = ScalarNode(tag, value, style=style)
81 if self.alias_key is not None:
82 self.represented_objects[self.alias_key] = node
83 return node
85 def represent_sequence(self, tag, sequence, flow_style=None):
86 value = []
87 node = SequenceNode(tag, value, flow_style=flow_style)
88 if self.alias_key is not None:
89 self.represented_objects[self.alias_key] = node
90 best_style = True
91 for item in sequence:
92 node_item = self.represent_data(item)
93 if not (isinstance(node_item, ScalarNode) and not node_item.style):
94 best_style = False
95 value.append(node_item)
96 if flow_style is None:
97 if self.default_flow_style is not None:
98 node.flow_style = self.default_flow_style
99 else:
100 node.flow_style = best_style
101 return node
103 def represent_mapping(self, tag, mapping, flow_style=None):
104 value = []
105 node = MappingNode(tag, value, flow_style=flow_style)
106 if self.alias_key is not None:
107 self.represented_objects[self.alias_key] = node
108 best_style = True
109 if hasattr(mapping, 'items'):
110 mapping = list(mapping.items())
111 if self.sort_keys:
112 try:
113 mapping = sorted(mapping)
114 except TypeError:
115 pass
116 for item_key, item_value in mapping:
117 node_key = self.represent_data(item_key)
118 node_value = self.represent_data(item_value)
119 if not (isinstance(node_key, ScalarNode) and not node_key.style):
120 best_style = False
121 if not (isinstance(node_value, ScalarNode) and not node_value.style):
122 best_style = False
123 value.append((node_key, node_value))
124 if flow_style is None:
125 if self.default_flow_style is not None:
126 node.flow_style = self.default_flow_style
127 else:
128 node.flow_style = best_style
129 return node
131 def ignore_aliases(self, data):
132 return False
134class SafeRepresenter(BaseRepresenter):
136 def ignore_aliases(self, data):
137 if data is None:
138 return True
139 if isinstance(data, tuple) and data == ():
140 return True
141 if isinstance(data, (str, bytes, bool, int, float)):
142 return True
144 def represent_none(self, data):
145 return self.represent_scalar('tag:yaml.org,2002:null', 'null')
147 def represent_str(self, data):
148 return self.represent_scalar('tag:yaml.org,2002:str', data)
150 def represent_binary(self, data):
151 if hasattr(base64, 'encodebytes'):
152 data = base64.encodebytes(data).decode('ascii')
153 else:
154 data = base64.encodestring(data).decode('ascii')
155 return self.represent_scalar('tag:yaml.org,2002:binary', data, style='|')
157 def represent_bool(self, data):
158 if data:
159 value = 'true'
160 else:
161 value = 'false'
162 return self.represent_scalar('tag:yaml.org,2002:bool', value)
164 def represent_int(self, data):
165 return self.represent_scalar('tag:yaml.org,2002:int', str(data))
167 inf_value = 1e300
168 while repr(inf_value) != repr(inf_value*inf_value):
169 inf_value *= inf_value
171 def represent_float(self, data):
172 if data != data or (data == 0.0 and data == 1.0):
173 value = '.nan'
174 elif data == self.inf_value:
175 value = '.inf'
176 elif data == -self.inf_value:
177 value = '-.inf'
178 else:
179 value = repr(data).lower()
180 # Note that in some cases `repr(data)` represents a float number
181 # without the decimal parts. For instance:
182 # >>> repr(1e17)
183 # '1e17'
184 # Unfortunately, this is not a valid float representation according
185 # to the definition of the `!!float` tag. We fix this by adding
186 # '.0' before the 'e' symbol.
187 if '.' not in value and 'e' in value:
188 value = value.replace('e', '.0e', 1)
189 return self.represent_scalar('tag:yaml.org,2002:float', value)
191 def represent_list(self, data):
192 #pairs = (len(data) > 0 and isinstance(data, list))
193 #if pairs:
194 # for item in data:
195 # if not isinstance(item, tuple) or len(item) != 2:
196 # pairs = False
197 # break
198 #if not pairs:
199 return self.represent_sequence('tag:yaml.org,2002:seq', data)
200 #value = []
201 #for item_key, item_value in data:
202 # value.append(self.represent_mapping(u'tag:yaml.org,2002:map',
203 # [(item_key, item_value)]))
204 #return SequenceNode(u'tag:yaml.org,2002:pairs', value)
206 def represent_dict(self, data):
207 return self.represent_mapping('tag:yaml.org,2002:map', data)
209 def represent_set(self, data):
210 value = {}
211 for key in data:
212 value[key] = None
213 return self.represent_mapping('tag:yaml.org,2002:set', value)
215 def represent_date(self, data):
216 value = data.isoformat()
217 return self.represent_scalar('tag:yaml.org,2002:timestamp', value)
219 def represent_datetime(self, data):
220 value = data.isoformat(' ')
221 return self.represent_scalar('tag:yaml.org,2002:timestamp', value)
223 def represent_yaml_object(self, tag, data, cls, flow_style=None):
224 if hasattr(data, '__getstate__'):
225 state = data.__getstate__()
226 else:
227 state = data.__dict__.copy()
228 return self.represent_mapping(tag, state, flow_style=flow_style)
230 def represent_undefined(self, data):
231 raise RepresenterError("cannot represent an object", data)
233SafeRepresenter.add_representer(type(None),
234 SafeRepresenter.represent_none)
236SafeRepresenter.add_representer(str,
237 SafeRepresenter.represent_str)
239SafeRepresenter.add_representer(bytes,
240 SafeRepresenter.represent_binary)
242SafeRepresenter.add_representer(bool,
243 SafeRepresenter.represent_bool)
245SafeRepresenter.add_representer(int,
246 SafeRepresenter.represent_int)
248SafeRepresenter.add_representer(float,
249 SafeRepresenter.represent_float)
251SafeRepresenter.add_representer(list,
252 SafeRepresenter.represent_list)
254SafeRepresenter.add_representer(tuple,
255 SafeRepresenter.represent_list)
257SafeRepresenter.add_representer(dict,
258 SafeRepresenter.represent_dict)
260SafeRepresenter.add_representer(set,
261 SafeRepresenter.represent_set)
263SafeRepresenter.add_representer(datetime.date,
264 SafeRepresenter.represent_date)
266SafeRepresenter.add_representer(datetime.datetime,
267 SafeRepresenter.represent_datetime)
269SafeRepresenter.add_representer(None,
270 SafeRepresenter.represent_undefined)
272class Representer(SafeRepresenter):
274 def represent_complex(self, data):
275 if data.imag == 0.0:
276 data = '%r' % data.real
277 elif data.real == 0.0:
278 data = '%rj' % data.imag
279 elif data.imag > 0:
280 data = '%r+%rj' % (data.real, data.imag)
281 else:
282 data = '%r%rj' % (data.real, data.imag)
283 return self.represent_scalar('tag:yaml.org,2002:python/complex', data)
285 def represent_tuple(self, data):
286 return self.represent_sequence('tag:yaml.org,2002:python/tuple', data)
288 def represent_name(self, data):
289 name = '%s.%s' % (data.__module__, data.__name__)
290 return self.represent_scalar('tag:yaml.org,2002:python/name:'+name, '')
292 def represent_module(self, data):
293 return self.represent_scalar(
294 'tag:yaml.org,2002:python/module:'+data.__name__, '')
296 def represent_object(self, data):
297 # We use __reduce__ API to save the data. data.__reduce__ returns
298 # a tuple of length 2-5:
299 # (function, args, state, listitems, dictitems)
301 # For reconstructing, we calls function(*args), then set its state,
302 # listitems, and dictitems if they are not None.
304 # A special case is when function.__name__ == '__newobj__'. In this
305 # case we create the object with args[0].__new__(*args).
307 # Another special case is when __reduce__ returns a string - we don't
308 # support it.
310 # We produce a !!python/object, !!python/object/new or
311 # !!python/object/apply node.
313 cls = type(data)
314 if cls in copyreg.dispatch_table:
315 reduce = copyreg.dispatch_table[cls](data)
316 elif hasattr(data, '__reduce_ex__'):
317 reduce = data.__reduce_ex__(2)
318 elif hasattr(data, '__reduce__'):
319 reduce = data.__reduce__()
320 else:
321 raise RepresenterError("cannot represent an object", data)
322 reduce = (list(reduce)+[None]*5)[:5]
323 function, args, state, listitems, dictitems = reduce
324 args = list(args)
325 if state is None:
326 state = {}
327 if listitems is not None:
328 listitems = list(listitems)
329 if dictitems is not None:
330 dictitems = dict(dictitems)
331 if function.__name__ == '__newobj__':
332 function = args[0]
333 args = args[1:]
334 tag = 'tag:yaml.org,2002:python/object/new:'
335 newobj = True
336 else:
337 tag = 'tag:yaml.org,2002:python/object/apply:'
338 newobj = False
339 function_name = '%s.%s' % (function.__module__, function.__name__)
340 if not args and not listitems and not dictitems \
341 and isinstance(state, dict) and newobj:
342 return self.represent_mapping(
343 'tag:yaml.org,2002:python/object:'+function_name, state)
344 if not listitems and not dictitems \
345 and isinstance(state, dict) and not state:
346 return self.represent_sequence(tag+function_name, args)
347 value = {}
348 if args:
349 value['args'] = args
350 if state or not isinstance(state, dict):
351 value['state'] = state
352 if listitems:
353 value['listitems'] = listitems
354 if dictitems:
355 value['dictitems'] = dictitems
356 return self.represent_mapping(tag+function_name, value)
358 def represent_ordered_dict(self, data):
359 # Provide uniform representation across different Python versions.
360 data_type = type(data)
361 tag = 'tag:yaml.org,2002:python/object/apply:%s.%s' \
362 % (data_type.__module__, data_type.__name__)
363 items = [[key, value] for key, value in data.items()]
364 return self.represent_sequence(tag, [items])
366Representer.add_representer(complex,
367 Representer.represent_complex)
369Representer.add_representer(tuple,
370 Representer.represent_tuple)
372Representer.add_multi_representer(type,
373 Representer.represent_name)
375Representer.add_representer(collections.OrderedDict,
376 Representer.represent_ordered_dict)
378Representer.add_representer(types.FunctionType,
379 Representer.represent_name)
381Representer.add_representer(types.BuiltinFunctionType,
382 Representer.represent_name)
384Representer.add_representer(types.ModuleType,
385 Representer.represent_module)
387Representer.add_multi_representer(object,
388 Representer.represent_object)