Added btree v2 test but skipping it (#137)

tests/test_chunked.py

@@ -1,7 +1,9 @@
 """ Test pyfive's abililty to read multidimensional datasets. """
 import os
 
+import h5py
 import numpy as np
+import pytest
 from numpy.testing import assert_array_equal
 
 import pyfive
@@ -10,11 +12,47 @@
 DATASET_CHUNKED_HDF5_FILE = os.path.join(DIRNAME, "data", 'chunked.hdf5')
 
 
-def test_chunked_dataset():
+@pytest.fixture(scope='module')
+def data():
+    return np.array(list(range(10_000)), dtype=np.int32).reshape((100, 100))
 
-    with pyfive.File(DATASET_CHUNKED_HDF5_FILE) as hfile:
 
+@pytest.fixture(scope='module')
+def name(data):
+    name = os.path.join(os.path.dirname(__file__), 'btreev2.hdf5')
+
+    with h5py.File(name, "w", libver="latest") as f:
+        # type 10 record - chunked without filters
+        f.create_dataset(
+            "btreev2",
+            data=data,
+            chunks=(10, 10),
+            maxshape=(None, None),
+            dtype="int32")
+
+        # type 11 record - chunked with filters
+        f.create_dataset(
+            "btreev2_filters",
+            data=data,
+            chunks=(10, 10),
+            maxshape=(None, None),
+            compression="gzip",
+            compression_opts=1,
+            fletcher32=True,
+            dtype="int32")
+
+    return name
+
+
+def test_chunked_dataset():
+    with pyfive.File(DATASET_CHUNKED_HDF5_FILE) as hfile:
         # check data
         dset1 = hfile['dataset1']
-        assert_array_equal(dset1[:], np.arange(21*16).reshape((21, 16)))
+        assert_array_equal(dset1[:], np.arange(21 * 16).reshape((21, 16)))
         assert dset1.chunks == (2, 2)
+
+@pytest.mark.skip(reason="Not implemented yet, see https://github.com/NCAS-CMS/pyfive/issues/137")
+def test_chunked_dataset_btreev2(name, data):
+    with pyfive.File(name) as hfile:
+        dset1 = hfile['btreev2']
+        assert_array_equal(dset1[...], data)