Pin Pandas version for Travis tests to 0.22 #2075
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Test PASSed. |
robertnishihara
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May 16, 2018
alok
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May 18, 2018
* master: (22 commits) [xray] Fix bug in updating actor execution dependencies (ray-project#2064) [DataFrame] Refactor __delitem__ (ray-project#2080) [xray] Better error messaging when pulling from self. (ray-project#2068) Use source code in hash where possible (fix ray-project#2089) (ray-project#2090) Functions for flushing done tasks and evicted objects. (ray-project#2033) Fix compilation error for RAY_USE_NEW_GCS with latest clang. (ray-project#2086) [xray] Corrects Error Handling During Push and Pull. (ray-project#2059) [xray] Sophisticated task dependency management (ray-project#2035) Support calling positional arguments by keyword (fix ray-project#998) (ray-project#2081) [DataFrame] Improve performance of iteration methods (ray-project#2026) [DataFrame] Implement to_csv (ray-project#2014) [xray] Lineage cache only requests notifications about remote parent tasks (ray-project#2066) [rllib] Add magic methods for rollouts (ray-project#2024) [DataFrame] Allows DataFrame constructor to take in another DataFrame (ray-project#2072) Pin Pandas version for Travis to 0.22 (ray-project#2075) Fix python linting (ray-project#2076) [xray] Fix GCS table prefixes (ray-project#2065) Some tests for _submit API. (ray-project#2062) [rllib] Queue lib for python 2.7 (ray-project#2057) [autoscaler] Remove faulty assert that breaks during downscaling, pull configs from env (ray-project#2006) ...
alok
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* master: Pin Pandas version for Travis to 0.22 (ray-project#2075) Fix python linting (ray-project#2076) [xray] Fix GCS table prefixes (ray-project#2065) Some tests for _submit API. (ray-project#2062) [rllib] Queue lib for python 2.7 (ray-project#2057) [autoscaler] Remove faulty assert that breaks during downscaling, pull configs from env (ray-project#2006) [DataFrame] Refactor indexers and implement setitem (ray-project#2020) [rllib]Update bc/policy.py (ray-project#2012)
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Fixes Travis test failures caused by Pandas 0.23. This is meant as a temporary fix until dataframes are update to work with Pandas 0.23.
CC @kunalgosar @devin-petersohn