def test_create():
with tmpfile('.hdf5') as fn:
ds = datashape.dshape('{x: int32, y: {z: 3 * int32}}')
f = create(h5py.File, dshape='{x: int32, y: {z: 3 * int32}}', path=fn)
try:
assert isinstance(f, h5py.File)
assert f.filename == fn
assert discover(f) == ds
finally:
f.close()
def test_create():
with tmpfile('.hdf5') as fn:
ds = datashape.dshape('{x: int32, y: {z: 3 * int32}}')
f = create(h5py.File, dshape='{x: int32, y: {z: 3 * int32}}', path=fn)
try:
assert isinstance(f, h5py.File)
assert f.filename == fn
assert discover(f) == ds
finally:
f.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 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_discover_on_data_with_object_in_record_name():
data = np.array([(u'a', 1), (u'b', 2)],
dtype=[('lrg_object', unicode_dtype), ('an_int', 'int64')])
with tmpfile('.hdf5') as fn:
f = h5py.File(fn)
try:
f.create_dataset('/data', data=data)
except:
raise
else:
assert (discover(f['data']) == datashape.dshape(
'2 * {lrg_object: string, an_int: int64}'))
finally:
with ignoring(Exception):
f.close()
def test_discover_on_data_with_object_in_record_name():
data = np.array([(u'a', 1), (u'b', 2)], dtype=[('lrg_object',
unicode_dtype),
('an_int', 'int64')])
with tmpfile('.hdf5') as fn:
f = h5py.File(fn)
try:
f.create_dataset('/data', data=data)
except:
raise
else:
assert (discover(f['data']) ==
datashape.dshape('2 * {lrg_object: string, an_int: int64}'))
finally:
with ignoring(Exception):
f.close()
def test_discover():
with file(x) as (fn, f, dset):
assert str(discover(dset)) == str(discover(x))
assert str(discover(f)) == str(discover({'data': x}))
def test_discover():
with file(x) as (fn, f, dset):
assert str(discover(dset)) == str(discover(x))
assert str(discover(f)) == str(discover({'data': x}))