Question

大约5个小时前，发布了版本4.1.0。它破坏了我的单元测试。这是显示此内容的干净MVCE：

版本3.12：

>>> import numpy as np
>>> import yaml
>>> x = np.int64(2)
>>> yaml.dump(x, Dumper=yaml.Dumper)
'!!python/object/apply:numpy.core.multiarray.scalar\n- !!python/object/apply:numpy.dtype\n  args: [i8, 0, 1]\n  state: !!python/tuple [3, <, null, null, null, -1, -1, 0]\n- !!binary |\n  AgAAAAAAAAA=\n'

版本4.1.0 ：

>>> import numpy as np
>>> import yaml
>>> x = np.int64(2)
>>> yaml.dump(x, Dumper=yaml.Dumper)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/foo/anaconda3/envs/bar/lib/python3.6/site-packages/yaml/__init__.py", line 217, in dump
    return dump_all([data], stream, Dumper=Dumper, **kwds)
  File "/foo/anaconda3/envs/bar/lib/python3.6/site-packages/yaml/__init__.py", line 196, in dump_all
    dumper.represent(data)
  File "/foo/anaconda3/envs/bar/lib/python3.6/site-packages/yaml/representer.py", line 26, in represent
    node = self.represent_data(data)
  File "/foo/anaconda3/envs/bar/lib/python3.6/site-packages/yaml/representer.py", line 57, in represent_data
    node = self.yaml_representers[None](self, data)
  File "/foo/anaconda3/envs/bar/lib/python3.6/site-packages/yaml/representer.py", line 229, in represent_undefined
    raise RepresenterError("cannot represent an object", data)
yaml.representer.RepresenterError: ('cannot represent an object', 2)

PyYAML不再支持这些对象类型的原因是否明确？

Answer 1

dump现在为safe_dump，它将无法处理任意对象：

>>> yaml.dump is yaml.safe_dump
True

将danger_dump用于旧行为。

>>> yaml.danger_dump(x)
'!!python/object/apply:numpy.core.multiarray.scalar\n- !!python/object/apply:numpy.dtype\n  args: [i8, 0, 1]\n  state: !!python/tuple [3, <, null, null, null, -1, -1, 0]\n- !!binary |\n  AgAAAAAAAAA=\n'

load / safe_load也是如此。找不到4.1.0的文档或发行说明，我只是通过深入研究提交（here）才发现的。

PyYAML不再支持这些对象类型的原因明确吗？

是的。 yaml.load允许执行任意代码，并且这种危险功能应仅选择启用-不能偶然使用。可以说，从一开始就应该是这种方式，我很高兴PyYAML的新维护者已经纠正了这一点。

新的PyYAML版本在大多数自定义python对象上中断-RepresenterError

1 个答案: