def default_empad():
executor = InlineJobExecutor()
ds = EMPADDataSet(
path=EMPAD_XML,
)
ds = ds.initialize(executor)
yield ds
def test_nonexistent():
ds = EMPADDataSet(
path="/does/not/exist.raw",
scan_size=(4, 4),
)
with pytest.raises(DataSetException) as e:
ds = ds.initialize()
assert "No such file or directory" in str(e)
def test_nonexistent():
ds = EMPADDataSet(
path="/does/not/exist.raw",
scan_size=(4, 4),
)
with pytest.raises(DataSetException) as einfo:
ds = ds.initialize(InlineJobExecutor())
assert einfo.match("No such file or directory")
def test_nonexistent():
ds = EMPADDataSet(
path="/does/not/exist.raw",
nav_shape=(4, 4),
)
with pytest.raises(DataSetException) as einfo:
ds = ds.initialize(InlineJobExecutor())
assert einfo.match("could not open file /does/not/exist.raw")
def test_invalid_size():
ds = EMPADDataSet(
path=EMPAD_RAW,
scan_size=(4, 5),
)
ds = ds.initialize()
with pytest.raises(DataSetException) as e:
ds.check_valid()
assert "invalid filesize" in str(e)
def test_invalid_size():
ds = EMPADDataSet(
path=EMPAD_RAW,
scan_size=(4, 5),
)
ds = ds.initialize(InlineJobExecutor())
with pytest.raises(DataSetException) as einfo:
ds.check_valid()
assert einfo.match("invalid filesize")
def random_empad(tmpdir_factory):
datadir = tmpdir_factory.mktemp('data')
filename = datadir + '/empad-test-default.raw'
data = _mk_random(size=(16, 16, 130, 128), dtype='float32')
data.tofile(str(filename))
del data
ds = EMPADDataSet(
path=str(filename),
scan_size=(16, 16),
)
ds = ds.initialize()
yield ds
def test_empad_dist(dist_ctx):
ds = EMPADDataSet(path="/data/EMPAD/acquisition_12_pretty.xml")
ds = ds.initialize(dist_ctx.executor)
analysis = dist_ctx.create_sum_analysis(dataset=ds)
results = dist_ctx.run(analysis)
assert results[0].raw_data.shape == (128, 128)
def default_empad():
ds = EMPADDataSet(path=EMPAD_XML, )
ds = ds.initialize()
yield ds
def test_new_empad_xml():
executor = InlineJobExecutor()
ds = EMPADDataSet(path=EMPAD_XML_2, )
ds = ds.initialize(executor)
def test_empad_dist(dist_ctx):
ds = EMPADDataSet(path=EMPAD_XML)
ds = ds.initialize(dist_ctx.executor)
analysis = dist_ctx.create_sum_analysis(dataset=ds)
results = dist_ctx.run(analysis)
assert results[0].raw_data.shape == (128, 128)