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ggould-tri
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* pyyaml changed its default flow semantics in yaml/pyyaml#256 * We must override the default with the magic tribool value `None` * Fixes 13541
ggould-tri
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* pyyaml changed its default flow semantics in yaml/pyyaml#256 * We must override the default with the magic tribool value `None` * Fixes 13541
ggould-tri
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* pyyaml changed its default flow semantics in yaml/pyyaml#256 * We must override the default with the magic tribool value `None` * Fixes RobotLocomotion#13541
ggould-tri
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* pyyaml changed its default flow semantics in yaml/pyyaml#256 * We must override the default with the magic tribool value `None` * Fixes RobotLocomotion#13541
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* Force older and newer yaml.dump to give the same output * pyyaml changed its default flow semantics in yaml/pyyaml#256 * We must override the default with the magic tribool value `None` * Fixes #13541
Totktonada
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Set flow style (JSON-like) explicitly instead of block style to don't break indentation. Before the patch (incorrect): | - - app-tap/iconv.test.lua | - null After the patch: | - [app-tap/iconv.test.lua, null] The default was changed in [1]. [1]: yaml/pyyaml#256
Totktonada
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Set flow style (JSON-like) explicitly instead of block style to don't break indentation. Before the patch (incorrect): | - - app-tap/iconv.test.lua | - null After the patch: | - [app-tap/iconv.test.lua, null] The default was changed in [1]. [1]: yaml/pyyaml#256
This was referenced Mar 9, 2021
This was referenced Mar 14, 2021
takuti
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Jan 15, 2022
* sklearn 1.0+ requires Python 3.7+ * sklearn's minimum numpy dependency is 1.14.6 * PyYAML 5.1 introduced several backward-incompatile changes that we already adapted, including: - yaml/pyyaml#254 - yaml/pyyaml#256
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See #199
Falsewill output block style always.Truewill output flow style always.Nonewill output flow style only for the collections which consistsonly of scalars.
Output: