def test_resource_shape():
with tmpfile('.hdf5') as fn:
r = resource(fn+'::/data', dshape='10 * int')
assert r.shape == (10,)
r.file.close()
with tmpfile('.hdf5') as fn:
r = resource(fn+'::/data', dshape='10 * 10 * int')
assert r.shape == (10, 10)
r.file.close()
with tmpfile('.hdf5') as fn:
r = resource(fn+'::/data', dshape='var * 10 * int')
assert r.shape == (0, 10)
r.file.close()
def test_resource_shape():
with tmpfile('.hdf5') as fn:
r = resource(fn + '::/data', dshape='10 * int')
assert r.shape == (10, )
r.file.close()
with tmpfile('.hdf5') as fn:
r = resource(fn + '::/data', dshape='10 * 10 * int')
assert r.shape == (10, 10)
r.file.close()
with tmpfile('.hdf5') as fn:
r = resource(fn + '::/data', dshape='var * 10 * int')
assert r.shape == (0, 10)
r.file.close()
def test_resource():
with tmpfile('.hdf5') as fn:
ds = datashape.dshape('{x: int32, y: 3 * int32}')
r = resource(fn, dshape=ds)
r2 = resource(fn + '::/x')
try:
assert isinstance(r, h5py.File)
assert discover(r) == ds
assert isinstance(r2, h5py.Dataset)
finally:
r.close()
r2.file.close()
def test_resource():
with tmpfile('.hdf5') as fn:
ds = datashape.dshape('{x: int32, y: 3 * int32}')
r = resource(fn, dshape=ds)
r2 = resource(fn + '::/x')
try:
assert isinstance(r, h5py.File)
assert discover(r) == ds
assert isinstance(r2, h5py.Dataset)
finally:
r.close()
r2.file.close()
def test_resource_with_variable_length():
with tmpfile('.hdf5') as fn:
ds = datashape.dshape('var * 4 * int32')
r = resource(fn + '::/data', dshape=ds)
try:
assert r.shape == (0, 4)
finally:
r.file.close()
def test_resource_with_variable_length():
with tmpfile('.hdf5') as fn:
ds = datashape.dshape('var * 4 * int32')
r = resource(fn + '::/data', dshape=ds)
try:
assert r.shape == (0, 4)
finally:
r.file.close()
def test_resource_with_option_types():
with tmpfile('.hdf5') as fn:
ds = datashape.dshape('4 * {name: ?string, amount: ?int32}')
r = resource(fn + '::/data', dshape=ds)
try:
assert r.shape == (4,)
assert r.dtype == [('name', 'O'), ('amount', 'f4')]
finally:
r.file.close()
def test_resource_with_option_types():
with tmpfile('.hdf5') as fn:
ds = datashape.dshape('4 * {name: ?string, amount: ?int32}')
r = resource(fn + '::/data', dshape=ds)
try:
assert r.shape == (4, )
assert r.dtype == [('name', 'O'), ('amount', 'f4')]
finally:
r.file.close()
def test_resource_with_datapath():
with tmpfile('.hdf5') as fn:
ds = datashape.dshape('3 * 4 * int32')
r = resource(fn + '::/data', dshape=ds)
try:
assert isinstance(r, h5py.Dataset)
assert discover(r) == ds
assert r.file.filename == fn
assert r.file['/data'] == r
finally:
r.file.close()
def test_resource_with_datapath():
with tmpfile('.hdf5') as fn:
ds = datashape.dshape('3 * 4 * int32')
r = resource(fn + '::/data', dshape=ds)
try:
assert isinstance(r, h5py.Dataset)
assert discover(r) == ds
assert r.file.filename == fn
assert r.file['/data'] == r
finally:
r.file.close()
def test_resource_with_h5py_protocol():
with tmpfile('.hdf5') as fn:
assert isinstance(resource('h5py://' + fn), h5py.File)
with tmpfile('.xyz') as fn:
assert isinstance(resource('h5py://' + fn), h5py.File)
def test_resource_with_h5py_protocol():
with tmpfile('.hdf5') as fn:
assert isinstance(resource('h5py://' + fn), h5py.File)
with tmpfile('.xyz') as fn:
assert isinstance(resource('h5py://' + fn), h5py.File)