Update to latest version.

.gitignore

@@ -5,3 +5,4 @@
 /dask-1.2.1.tar.gz
 /dask-2.1.0.tar.gz
 /dask-2.3.0.tar.gz
+/dask-2.4.0.tar.gz

0001-XFail-partitioning-test-on-some-arches.patch

@@ -1,15 +1,15 @@
-From abddcd7c2c6dc6cc72af8f4a7fb44e317994cef9 Mon Sep 17 00:00:00 2001
+From 48209fc11ca964b6dd92d06df8037f2e552e6019 Mon Sep 17 00:00:00 2001
 From: Elliott Sales de Andrade <quantum.analyst@gmail.com>
 Date: Sun, 3 Mar 2019 05:24:13 -0500
-Subject: [PATCH 1/3] XFail partitioning test on some arches.
+Subject: [PATCH] XFail partitioning test on some arches.
 
 Signed-off-by: Elliott Sales de Andrade <quantum.analyst@gmail.com>
 ---
- dask/dataframe/tests/test_dataframe.py | 4 ++++
- 1 file changed, 4 insertions(+)
+ dask/dataframe/tests/test_dataframe.py | 5 +++++
+ 1 file changed, 5 insertions(+)
 
 diff --git a/dask/dataframe/tests/test_dataframe.py b/dask/dataframe/tests/test_dataframe.py
-index 387d39ac..e0160734 100644
+index 10b944bd..06ac3e80 100644
 --- a/dask/dataframe/tests/test_dataframe.py
 +++ b/dask/dataframe/tests/test_dataframe.py
 @@ -1,3 +1,4 @@
@@ -17,16 +17,17 @@ index 387d39ac..e0160734 100644
  import textwrap
  import warnings
  from itertools import product
-@@ -1722,6 +1723,9 @@ def test_repartition_on_pandas_dataframe():
-     assert_eq(ddf, df.y)
- 
- 
-+@pytest.mark.xfail(platform.machine() in ('ppc64', 'ppc64le', 'aarch64', 's390x',
-+                                          'i686', 'i586', 'i386'),
-+                   reason='Unsupported architecture')
- @pytest.mark.parametrize("use_index", [True, False])
- @pytest.mark.parametrize("n", [1, 2, 4, 5])
- @pytest.mark.parametrize("k", [1, 2, 4, 5])
+@@ -1734,6 +1735,10 @@ def test_repartition_on_pandas_dataframe():
+ @pytest.mark.parametrize("dtype", [float, "M8[ns]"])
+ @pytest.mark.parametrize("transform", [lambda df: df, lambda df: df.x])
+ def test_repartition_npartitions(use_index, n, k, dtype, transform):
++    if (platform.machine() in ('ppc64le', 'aarch64', 's390x') and
++            (dtype, k, n, use_index) == (float, 5, 1, True)):
++        pytest.xfail(reason='Unsupported architecture')
++
+     df = pd.DataFrame(
+         {"x": [1, 2, 3, 4, 5, 6] * 10, "y": list("abdabd") * 10},
+         index=pd.Series([10, 20, 30, 40, 50, 60] * 10, dtype=dtype),
 -- 
 2.21.0
 

python-dask.spec

@@ -5,7 +5,7 @@
 %bcond_without bootstrap
 
 Name:           python-%{srcname}
-Version:        2.3.0
+Version:        2.4.0
 Release:        1%{?dist}
 Summary:        Parallel PyData with Task Scheduling
 
@@ -187,6 +187,9 @@ PYTHONDONTWRITEBYTECODE=1 \
 
 
 %changelog
+* Fri Sep 13 2019 Elliott Sales de Andrade <quantum.analyst@gmail.com> - 2.4.0-1
+- Update to latest version
+
 * Thu Sep 12 2019 Elliott Sales de Andrade <quantum.analyst@gmail.com> - 2.3.0-1
 - Update to latest version
 

sources

@@ -1 +1 @@
-SHA512 (dask-2.3.0.tar.gz) = 97dfee9d3aef135456ac303b3738064a4832cc535a71aca19fda3318c278832807aacaaac3fa5b56922b3ccea8f13512faab2f84fc3aab06e15e2a269c056a20
+SHA512 (dask-2.4.0.tar.gz) = 436f27364a35dd970766106f654e1683fe6082ea5ddcb2d17b44fc7dcf58402d795ffca43ec0e81ea310e69e0ae44e9c74c3268a7266db7f2e60ee878e48eb4a