Hello community, here is the log from the commit of package python-dask for openSUSE:Factory checked in at 2019-05-07 23:16:25 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Comparing /work/SRC/openSUSE:Factory/python-dask (Old) and /work/SRC/openSUSE:Factory/.python-dask.new.5148 (New) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "python-dask" Tue May 7 23:16:25 2019 rev:20 rq:696886 version:1.2.0 Changes: -------- --- /work/SRC/openSUSE:Factory/python-dask/python-dask.changes 2019-04-11 08:48:10.712553181 +0200 +++ /work/SRC/openSUSE:Factory/.python-dask.new.5148/python-dask.changes 2019-05-07 23:16:26.756590994 +0200 @@ -1,0 +2,60 @@ +Mon Apr 22 19:32:28 UTC 2019 - Todd R <[email protected]> + +- Update to version 1.2.0 + + Array + * Fixed mean() and moment() on sparse arrays + * Add test for NEP-18. + * Allow None to say "no chunking" in normalize_chunks + * Fix limit value in auto_chunks + + Core + * Updated diagnostic bokeh test for compatibility with bokeh>=1.1.0 + * Adjusts codecov's target/threshold, disable patch + * Always start with empty http buffer, not None + + DataFrame + * Propagate index dtype and name when create dask dataframe from array + * Fix ordering of quantiles in describe + * Clean up and document rearrange_column_by_tasks + * Mark some parquet tests xfail + * Fix parquet breakages with arrow 0.13.0 + * Allow sample to be False when reading CSV from a remote URL + * Fix timezone metadata inference on parquet load + * Use is_dataframe/index_like in dd.utils + * Add min_count parameter to groupby sum method + * Correct quantile to handle unsorted quantiles + + Documentation + * Add delayed extra dependencies to install docs +- Update to version 1.1.5 + + Array + * Ensure that we use the dtype keyword in normalize_chunks + + Core + * Use recursive glob in LocalFileSystem + * Avoid YAML deprecation + * Fix CI and add set -e + * Support builtin sequence types in dask.visualize + * unpack/repack orderedDict + * Add da.random.randint to API docs + * Add zarr to CI environment + * Enable codecov + + DataFrame + * Support setting the index + * DataFrame.itertuples accepts index, name kwargs + * Support non-Pandas series in dd.Series.unique + * Replace use of explicit type check with ._is_partition_type predicate + * Remove additional pandas warnings in tests + * Check object for name/dtype attributes rather than type + * Fix comparison against pd.Series + * Fixing warning from setting categorical codes to floats + * Fix renaming on index to_frame method + * Fix divisions when joining two single-partition dataframes + * Warn if partitions overlap in compute_divisions + * Give informative meta= warning + * Add informative error message to Series.__getitem__ + * Add clear exception message when using index or index_col in read_csv + + Documentation + * Add documentation for custom groupby aggregations + * Docs dataframe joins + * Specify fork-based contributions + * correct to_parquet example in docs + * Update and secure several references + +------------------------------------------------------------------- Old: ---- dask-1.1.4.tar.gz New: ---- dask-1.2.0.tar.gz ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Other differences: ------------------ ++++++ python-dask.spec ++++++ --- /var/tmp/diff_new_pack.jMK6sq/_old 2019-05-07 23:16:27.236592104 +0200 +++ /var/tmp/diff_new_pack.jMK6sq/_new 2019-05-07 23:16:27.240592114 +0200 @@ -26,7 +26,7 @@ %bcond_with test %endif Name: python-dask%{psuffix} -Version: 1.1.4 +Version: 1.2.0 Release: 0 Summary: Minimal task scheduling abstraction License: BSD-3-Clause ++++++ dask-1.1.4.tar.gz -> dask-1.2.0.tar.gz ++++++ ++++ 3897 lines of diff (skipped)
