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- import numpy as np
- import h5py
- from h5py import h5f, h5p
- from .common import TestCase
- class TestFileImage(TestCase):
- def test_load_from_image(self):
- from binascii import a2b_base64
- from zlib import decompress
- compressed_image = 'eJzr9HBx4+WS4mIAAQ4OBhYGAQZk8B8KKjhQ+TD5BCjNCKU7oPQKJpg4I1hOAiouCDUfXV1IkKsrSPV/NACzx4AFQnMwjIKRCDxcHQNAdASUD0ulJ5hQ1ZWkFpeAaFh69KDQXkYGNohZjDA+JCUzMkIEmKHqELQAWKkAByytOoBJViAPJM7ExATWyAE0B8RgZkyAJmlYDoEAIahukJoNU6+HMTA0UOgT6oBgP38XUI6G5UMFZrzKR8EoGAUjGMDKYVgxDSsuAHcfMK8='
- image = decompress(a2b_base64(compressed_image))
- fapl = h5p.create(h5py.h5p.FILE_ACCESS)
- fapl.set_fapl_core()
- fapl.set_file_image(image)
- fid = h5f.open(self.mktemp().encode(), h5py.h5f.ACC_RDONLY, fapl=fapl)
- f = h5py.File(fid)
- self.assertTrue('test' in f)
- def test_open_from_image(self):
- from binascii import a2b_base64
- from zlib import decompress
- compressed_image = 'eJzr9HBx4+WS4mIAAQ4OBhYGAQZk8B8KKjhQ+TD5BCjNCKU7oPQKJpg4I1hOAiouCDUfXV1IkKsrSPV/NACzx4AFQnMwjIKRCDxcHQNAdASUD0ulJ5hQ1ZWkFpeAaFh69KDQXkYGNohZjDA+JCUzMkIEmKHqELQAWKkAByytOoBJViAPJM7ExATWyAE0B8RgZkyAJmlYDoEAIahukJoNU6+HMTA0UOgT6oBgP38XUI6G5UMFZrzKR8EoGAUjGMDKYVgxDSsuAHcfMK8='
- image = decompress(a2b_base64(compressed_image))
- fid = h5f.open_file_image(image)
- f = h5py.File(fid)
- self.assertTrue('test' in f)
- def test_in_memory():
- arr = np.arange(10)
- # Passing one fcpl & one fapl parameter to exercise the code splitting them:
- with h5py.File.in_memory(track_order=True, rdcc_nbytes=2_000_000) as f1:
- f1['a'] = arr
- f1.flush()
- img = f1.id.get_file_image()
- # Open while f1 is still open
- with h5py.File.in_memory(img) as f2:
- np.testing.assert_array_equal(f2['a'][:], arr)
- # Reuse image now that previous files are closed
- with h5py.File.in_memory(img) as f3:
- np.testing.assert_array_equal(f3['a'][:], arr)
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