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PyYAML 4.x is "safe" by default and in that context safe means that arbitrary python objects are not okay. However, defined tags which are added by the running process are safe. This change updates gabbi so that if unsafe YAML is desired, the new "danger_load" function is used and expands the NanChecker related tests to reflect this different understanding of safe and unsafe. I suspect our tests were incorrect in the past.
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Don't intend to merge this yet, still trying to work out if it is right. "Safe" has changed. |
This reflects the behavior of "safe" that I've been able to deduce.
If danger_load doesn't exist then we are in an older version and we fall back to load (as the unsafe load). This makes it possible to use this same code to switch back and forth between PyYAML 3 and 4 and get different results.
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This is covered by #267 |
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PyYAML 4.x is "safe" by default and in that context safe
means that arbitrary python objects are not okay. However,
defined tags which are added by the running process are
safe.
This change updates gabbi so that if unsafe YAML is desired,
the new "danger_load" function is used and expands the
NanChecker related tests to reflect this different
understanding of safe and unsafe. I suspect our tests
were incorrect in the past.