* [xray] Throttle task dispatch by required resources
* Pass in number of initial workers into raylet command
* Workers blocked in a ray.get release resources
* separate task placement and task dispatch; throttle task dispatch with locally available resournces
* keep track of worker's being started/in flight and suppress starting extraneous workers
* cleanup comments
* remove early termination in task dispatch to support zero-resource actor tasks
* info -> debug
* add documentation
* linting
* mock the worker pool for testing
* some linting
* kill all workers in flight; clear the worker pool in dtor
* remove fixed todo
* lint
* eval now works without assignment - helper function a bit hacky
* removed df.copy() from eval_helper
* one test still failing for qury
* all eval tests passing now
* added check to eval arge verification
* added tests to travis
* added optimization and some comments
* added pd.eval and passes all tests
* added ray dataframe back to test file
* optimizations and code cleanup for eval
* changed position of pandas import in __init__
* fixed linting errors
* fixing eval in __init__.py
* fixed travis file - removed extra tests
* removed test directory from linting exclude for travis
* removes transfer service. adds separate pool for sends and receives.
* get rid of send/receive transfer counts.
* update comment.
* remove clang formatting.
* clang formatting.
* Allow numpy arrays and larger objects to be passed by value in task specifications.
* Fix bug.
* Fix bug. Inline all bug numpy object arrays.
* Increase size limit for inlining args in task spec.
* Give numpy init different signatures in Python 2 and Python 3.
* Simplify code.
* Fix test.
* Use import_array1 instead of import_array.
* Add PubsubInterface to GCS tables
* Add task table PubsubInterface to lineage cache and tests
* Request notifications for remote tasks in the lineage cache
* Add RegisterGCS method to node manager
* Fix NodeManager member initialization order, subscribe to task table notifications
* Comments
* Use returned statuses.
* Fix double commit bug in lineage cache
* lint
* More linting.
* Fix pure virtual method declarations
* cache all object info from object added store notification.
* Adds parallel transfer for big objects.
* documentation and clean up.
* compare objects...
* merge buffer_state with chunk vec. Make separate buffer state for get and create.
* use references for Get. Allow partial failure of Create.
* single plasma client.
* changes based on review.
* update documentation and add parameters for object manager in main.cc.
* review feedback.
* use vector consturctor.
* linting
* remove profile visualizations.
* test fixes.
* linting.
* kill specific pids and use less memory.
* linting.
* simplify tests.
* Asynchronous IO for ObjectManager messages and object transfer.
* Revert "Asynchronous IO for ObjectManager messages and object transfer."
This reverts commit 4af43b159babc04daf80d1543e27c2cb46b7b19d.
* update test configuration to reflect changes in #1891
* review feedback.
* linting.
* remove num_threads as a parameter.
* linting.
* add additional checks.
* Invoke TransferCompleted on failures.
* Fix issue with failed Gets on store.
* ray check status of writing object headers.
* fix mac issues.
* working with dataframes with too many rows and columns
* repr works for jupyter notebooks now
* added comments and test file
* added repr test file to .travis.yml
* added back ray.dataframe as pd to test file
* fixed pandas importing issues in test file
* getting the front and back of df more efficiently
* only keeping dataframe tests in travis
* fixing numpy array for row and col lengths issue
* doesn't add dimensions if df is small enough
* implemented memory_usage()
* completed memory_usage - still failing 2 tests
* only failing one test for memory_usage
* all repr and dataframes tests passing now
* fixing error related to python2 in info()
* fixing python2 errors
* fixed linting errosr
* using _arithmetic_helper in memory_usage()
* fixed last lint error
* removed testing-specific code
* adding back travis test
* removing extra tests from travis
* re-added concat test
* fixes with new indexing scheme
* code cleanup
* fully working with new indexing scheme
* added tests for info and memory_usage
* removed test file
* baseline impl for index_df.py
* added skeleton for index_df.py
* initial impl index_df
* separate out partition and non-partition impls
* add len function
* drop returns index_df slice of dropped indices
* housecleaning
* Integrate index overhaul
* Rename index df to index metadata
* Fix flake8 issues
* Addressing issues
* fix import issue
* Added metadata passing to constructor
