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+# coding: utf-8
+# /*##########################################################################
+# Copyright (C) 2021 European Synchrotron Radiation Facility
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in
+# all copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+# THE SOFTWARE.
+#
+# ############################################################################*/
+"""Test silx.io.convert.write_to_h5"""
+
+
+import h5py
+import numpy
+from silx.io import spech5
+
+from silx.io.convert import write_to_h5
+from silx.io.dictdump import h5todict
+from silx.io import commonh5
+from silx.io.spech5 import SpecH5
+
+
+def test_with_commonh5(tmp_path):
+ """Test write_to_h5 with commonh5 input"""
+ fobj = commonh5.File("filename.txt", mode="w")
+ group = fobj.create_group("group")
+ dataset = group.create_dataset("dataset", data=numpy.array(50))
+ group["soft_link"] = dataset # Create softlink
+
+ output_filepath = tmp_path / "output.h5"
+ write_to_h5(fobj, str(output_filepath))
+
+ assert h5todict(str(output_filepath)) == {
+ 'group': {'dataset': numpy.array(50), 'soft_link': numpy.array(50)},
+ }
+ with h5py.File(output_filepath, mode="r") as h5file:
+ soft_link = h5file.get("/group/soft_link", getlink=True)
+ assert isinstance(soft_link, h5py.SoftLink)
+ assert soft_link.path == "/group/dataset"
+
+
+def test_with_hdf5(tmp_path):
+ """Test write_to_h5 with HDF5 file input"""
+ filepath = tmp_path / "base.h5"
+ with h5py.File(filepath, mode="w") as h5file:
+ h5file["group/dataset"] = 50
+ h5file["group/soft_link"] = h5py.SoftLink("/group/dataset")
+ h5file["group/external_link"] = h5py.ExternalLink("base.h5", "/group/dataset")
+
+ output_filepath = tmp_path / "output.h5"
+ write_to_h5(str(filepath), str(output_filepath))
+ assert h5todict(str(output_filepath)) == {
+ 'group': {'dataset': 50, 'soft_link': 50},
+ }
+ with h5py.File(output_filepath, mode="r") as h5file:
+ soft_link = h5file.get("group/soft_link", getlink=True)
+ assert isinstance(soft_link, h5py.SoftLink)
+ assert soft_link.path == "/group/dataset"
+
+
+def test_with_spech5(tmp_path):
+ """Test write_to_h5 with SpecH5 input"""
+ filepath = tmp_path / "file.spec"
+ filepath.write_bytes(
+ bytes(
+"""#F /tmp/sf.dat
+
+#S 1 cmd
+#L a b
+1 2
+""",
+ encoding='ascii')
+ )
+
+ output_filepath = tmp_path / "output.h5"
+ with spech5.SpecH5(str(filepath)) as spech5file:
+ write_to_h5(spech5file, str(output_filepath))
+ print(h5todict(str(output_filepath)))
+
+ def assert_equal(item1, item2):
+ if isinstance(item1, dict):
+ assert tuple(item1.keys()) == tuple(item2.keys())
+ for key in item1.keys():
+ assert_equal(item1[key], item2[key])
+ else:
+ numpy.array_equal(item1, item2)
+
+ assert_equal(h5todict(str(output_filepath)), {
+ '1.1': {
+ 'instrument': {
+ 'positioners': {},
+ 'specfile': {
+ 'file_header': ['#F /tmp/sf.dat'],
+ 'scan_header': ['#S 1 cmd', '#L a b'],
+ },
+ },
+ 'measurement': {
+ 'a': [1.],
+ 'b': [2.],
+ },
+ 'start_time': '',
+ 'title': 'cmd',
+ },
+ })