From 72b1741aacf258321aab387baed66763ea929762 Mon Sep 17 00:00:00 2001
From: Elliott Sales de Andrade <quantum.analyst@gmail.com>
Date: Wed, 18 Jan 2023 19:50:22 -0500
Subject: [PATCH] Update to latest version (#2131120)

---
 .gitignore         | 1 +
 python-xarray.spec | 8 +++++---
 sources            | 4 +---
 3 files changed, 7 insertions(+), 6 deletions(-)

diff --git a/.gitignore b/.gitignore
index fcd849b..9501843 100644
--- a/.gitignore
+++ b/.gitignore
@@ -19,3 +19,4 @@
 /xarray-data-dbd07bb91a7112db0fd2f912c146999f9d436b0e.tar.gz
 /xarray-2022.6.0.tar.gz
 /xarray-data-86974d54ce83a130303fe8caa629e60deb3cb6e5.tar.gz
+/xarray-2023.1.0.tar.gz
diff --git a/python-xarray.spec b/python-xarray.spec
index fa2cc3a..339e98b 100644
--- a/python-xarray.spec
+++ b/python-xarray.spec
@@ -4,11 +4,11 @@
 %bcond_with docs
 
 Name:           python-%{srcname}
-Version:        2022.6.0
+Version:        2023.1.0
 Release:        %autorelease
 Summary:        N-D labeled arrays and datasets in Python
 
-License:        ASL 2.0
+License:        Apache-2.0
 URL:            https://github.com/pydata/xarray
 Source0:        %pypi_source %{srcname}
 # Data for examples only.
@@ -47,7 +47,7 @@ for advanced analytics and visualization with these data structures.
 
 Xarray was inspired by and borrows heavily from pandas, the popular data
 analysis package focused on labelled tabular data. It is particularly
-tailored to working with netCDF files, which were the source of xarray's
+tailored to working with netCDF files, which were the source of xarray’s
 data model, and integrates tightly with dask for parallel computing.}
 
 %description %{_description}
@@ -116,6 +116,8 @@ rm -rf xarray
 pytest_args=(
   -n auto
   -m "not network"
+  # https://bugzilla.redhat.com/show_bug.cgi?id=2113663
+  -k 'not test_open_nczarr'
 )
 
 %{pytest} -ra "${pytest_args[@]}" --pyargs xarray
diff --git a/sources b/sources
index 6d25708..ba21095 100644
--- a/sources
+++ b/sources
@@ -1,3 +1 @@
-SHA512 (xarray-2022.6.0.tar.gz) = 415bd84246d6d2b8aebf316ac9ef82ca7afeacce718349b75479c0aa693e2866dfe236e6dcaf41cae68afd7a99408f5027c938e6b7f447f5323e076b804f5165
-SHA512 (xarray-data-86974d54ce83a130303fe8caa629e60deb3cb6e5.tar.gz) = c7cddd4de81908110f65fac9df63b68ade0d37b9983b2bf7a6d5021e419d5b7e23e6bee316be4f802a7fbd70952bb5e3eead91d544c8b8bd6ffb2747d3fca64f
-SHA512 (RGB.byte.tif) = 34aa1b196f6c5880530d42ec8a25193bc79db803a8427adc9b115373d222b9f4318a04f06c8b37118df7e09d96b9c470ecec543c604af18861f11b786ed6fbfd
+SHA512 (xarray-2023.1.0.tar.gz) = baddac6ed08816eb06b8153bc3443cc4ae77fc1d17d2cf242f543ce75b37e390f5c7e8c59cc292d1a586a78245cac614cf656a202f8d5ca81c176c4834533c4b