Conda package (#2)

* added conda recipe to create data package

* add build script for linux

Co-authored-by: Edoardo Pasca <[email protected]>

recipe/bld.bat

@@ -0,0 +1,2 @@
+cd %RECIPE_DIR%\..
+%PYTHON% setup.py install

recipe/build.sh

@@ -0,0 +1,2 @@
+cd $RECIPE_DIR/..
+$PYTHON setup.py install

recipe/meta.yaml

@@ -0,0 +1,16 @@
+package:
+  name: cil-data
+  version: 21.0.0
+
+build:
+  number: 0  
+
+requirements:
+
+  build:
+    - python
+
+about:
+  home: http://www.ccpi.ac.uk/cil
+  license:  Apache 2.0 License
+  summary: 'CCPi Core Imaging Library'

setup.py

@@ -0,0 +1,47 @@
+# -*- coding: utf-8 -*-
+#  CCP in Tomographic Imaging (CCPi) Core Imaging Library (CIL).
+
+#   Copyright 2017 UKRI-STFC
+#   Copyright 2017 University of Manchester
+
+#   Licensed under the Apache License, Version 2.0 (the "License");
+#   you may not use this file except in compliance with the License.
+#   You may obtain a copy of the License at
+
+#   http://www.apache.org/licenses/LICENSE-2.0
+
+#   Unless required by applicable law or agreed to in writing, software
+#   distributed under the License is distributed on an "AS IS" BASIS,
+#   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#   See the License for the specific language governing permissions and
+#   limitations under the License.
+
+from distutils.core import setup
+import os
+import sys
+
+
+cil_version='21.0.0'
+
+setup(
+    name="cil-data",
+    version=cil_version,
+    data_files = [('share/cil', [ '24737_fd_normalised.nxs',
+                                  'boat.tiff',
+                                  'camera.png',
+                                  'peppers.tiff',
+                                  'rainbow.png',
+                                  'resolution_chart.tiff',
+                                  'shapes.png'
+                                  ])],
+
+    # metadata for upload to PyPI
+    author="CCPi developers",
+    maintainer="Edoardo Pasca",
+    maintainer_email="[email protected]",
+    description='CCPi Core Imaging Library - Example Data',
+    license="Apache v2.0",
+    keywords="Dataset",
+    url="http://www.ccpi.ac.uk/cil",   # project home page, if any
+
+)

test/manual_test.py

@@ -0,0 +1,22 @@
+import os, sys
+import matplotlib.pyplot as plt
+import numpy as np
+from PIL import Image
+
+data_dir = os.path.abspath(
+    os.path.join(sys.prefix, 'share','cil')
+)
+
+pics = ['boat.tiff', 'camera.png', 'rainbow.png', 'resolution_chart.tiff', 'shapes.png']
+for which in pics:
+    dpath = os.path.join(data_dir, which)
+    with Image.open(dpath) as f:
+        print("opening {}".format(dpath))
+        bands = f.getbands()
+        if len(bands) > 1:
+            if len(bands) == 4:
+                f = f.convert('RGB')
+                bands = f.getbands()
+        plt.imshow(f)
+        plt.show()
+