From 1ea3117cf0cb75e7ab4c8834d34dbd70b60898cb Mon Sep 17 00:00:00 2001
From: Martin Yeo <40734014+trexfeathers@users.noreply.github.com>
Date: Mon, 4 Mar 2024 16:52:19 +0000
Subject: [PATCH] Recipe updates for v3.8.1 (#108)

* Recipe updates for v3.8.1 .

* MNT: Re-rendered with conda-build 24.1.2, conda-smithy 3.31.1, and conda-forge-pinning 2024.03.04.16.05.00

---------

Co-authored-by: conda-forge-webservices[bot] <91080706+conda-forge-webservices[bot]@users.noreply.github.com>
---
 README.md        |  2 +-
 recipe/meta.yaml | 12 ++++++------
 2 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/README.md b/README.md
index f0e4165..54266dd 100644
--- a/README.md
+++ b/README.md
@@ -5,7 +5,7 @@ Feedstock license: [BSD-3-Clause](https://github.com/conda-forge/iris-feedstock/
 
 Home: https://scitools-iris.readthedocs.io/en/stable/
 
-Package license: LGPL-3.0-or-later
+Package license: BSD-3-Clause
 
 Summary: Analyse and visualise meteorological and oceanographic data sets.
 
diff --git a/recipe/meta.yaml b/recipe/meta.yaml
index d42f04d..b74ceed 100644
--- a/recipe/meta.yaml
+++ b/recipe/meta.yaml
@@ -1,4 +1,4 @@
-{% set version = "3.7.1" %}
+{% set version = "3.8.1" %}
 
 package:
   name: iris
@@ -6,7 +6,7 @@ package:
 
 source:
   url: https://pypi.io/packages/source/s/scitools-iris/scitools-iris-{{ version }}.tar.gz
-  sha256: 5523115b6bca7f632661a2f4b7564ba5fc5565117201a77cb0755cb45763ba4b
+  sha256: bf1f35053c16c14938ee0a1a6cfa7ab60804cf1ec79bac5b550179354370d4fc
 
 build:
   noarch: python
@@ -33,7 +33,7 @@ outputs:
         - libnetcdf !=4.9.1
         - matplotlib-base >=3.5
         - netcdf4
-        - numpy >=1.21,!=1.24.3
+        - numpy >=1.23,!=1.24.3
         - pyproj
         - scipy
         - shapely !=1.8.3
@@ -54,9 +54,9 @@ outputs:
         - iris
 about:
   home: https://scitools-iris.readthedocs.io/en/stable/
-  license: LGPL-3.0-or-later
-  license_family: GPL
-  license_file: COPYING.LESSER
+  license: BSD-3-Clause
+  license_family: BSD
+  license_file: LICENSE
   summary: Analyse and visualise meteorological and oceanographic data sets.
 
 extra: