Fix #71: make cloudpickle Python 3.6 compatible #72
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Also add a cache to the function which extracts global-referencing opcodes, speeding up repetitive pickling of non-tiny functions.
Current coverage is 78.97% (diff: 100%)@@ master #72 diff @@
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+ Hits 371 387 +16
+ Misses 76 75 -1
+ Partials 29 28 -1
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rgbkrk
reviewed
Nov 25, 2016
| extended_arg = 0 | ||
| i += 2 | ||
| if op == EXTENDED_ARG: | ||
| extended_arg = oparg * 65536 |
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Can you think of a good test that would cover this branch?
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Not really. You would need a function using a huge number of constants.
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Actually, we can generate that function.
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Wow, pypy is really old on Travis-CI. |
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I'm gonna merge soon if no other comments. |
rgbkrk
approved these changes
Nov 25, 2016
| @@ -333,6 +334,32 @@ def g(y): | |||
| res = loop.run_sync(functools.partial(g2, 5)) | |||
| self.assertEqual(res, 7) | |||
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| def test_extended_arg(self): | |||
rgbkrk
added a commit
to rgbkrk/spark
that referenced
this pull request
Jun 12, 2017
This brings in fixes and upgrades from the [cloudpickle](https://github.com/cloudpipe/cloudpickle) module, notably: * Import submodules accessed by pickled functions (cloudpipe/cloudpickle#80) * Support recursive functions inside closures (cloudpipe/cloudpickle#89, cloudpipe/cloudpickle#90) * Fix ResourceWarnings and DeprecationWarnings (cloudpipe/cloudpickle#88) * Assume modules with __file__ attribute are not dynamic (cloudpipe/cloudpickle#85) * Make cloudpickle Python 3.6 compatible (cloudpipe/cloudpickle#72) * Allow pickling of builtin methods (cloudpipe/cloudpickle#57) * Add ability to pickle dynamically created modules (cloudpipe/cloudpickle#52) * Support method descriptor (cloudpipe/cloudpickle#46) * No more pickling of closed files, was broken on Python 3 (cloudpipe/cloudpickle#32)
ghost
pushed a commit
to dbtsai/spark
that referenced
this pull request
Aug 22, 2017
## What changes were proposed in this pull request? Based on apache#18282 by rgbkrk this PR attempts to update to the current released cloudpickle and minimize the difference between Spark cloudpickle and "stock" cloud pickle with the goal of eventually using the stock cloud pickle. Some notable changes: * Import submodules accessed by pickled functions (cloudpipe/cloudpickle#80) * Support recursive functions inside closures (cloudpipe/cloudpickle#89, cloudpipe/cloudpickle#90) * Fix ResourceWarnings and DeprecationWarnings (cloudpipe/cloudpickle#88) * Assume modules with __file__ attribute are not dynamic (cloudpipe/cloudpickle#85) * Make cloudpickle Python 3.6 compatible (cloudpipe/cloudpickle#72) * Allow pickling of builtin methods (cloudpipe/cloudpickle#57) * Add ability to pickle dynamically created modules (cloudpipe/cloudpickle#52) * Support method descriptor (cloudpipe/cloudpickle#46) * No more pickling of closed files, was broken on Python 3 (cloudpipe/cloudpickle#32) * ** Remove non-standard __transient__check (cloudpipe/cloudpickle#110)** -- while we don't use this internally, and have no tests or documentation for its use, downstream code may use __transient__, although it has never been part of the API, if we merge this we should include a note about this in the release notes. * Support for pickling loggers (yay!) (cloudpipe/cloudpickle#96) * BUG: Fix crash when pickling dynamic class cycles. (cloudpipe/cloudpickle#102) ## How was this patch tested? Existing PySpark unit tests + the unit tests from the cloudpickle project on their own. Author: Holden Karau <holden@us.ibm.com> Author: Kyle Kelley <rgbkrk@gmail.com> Closes apache#18734 from holdenk/holden-rgbkrk-cloudpickle-upgrades.
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Also add a cache to the function which extracts global-referencing opcodes, speeding up repetitive pickling of non-tiny functions.