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oarc-dsc-datatool/tests/test_objects.py

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import pytest
from dsc_datatool import Dataset, Dimension, Input, Output, Generator, Transformer
def test_dataset():
o = Dataset()
assert '%r' % o == '<Dataset name=None dimension=[]>'
def test_dimension():
o = Dimension('test')
assert '%r' % o == '<Dimension name=\'test\' value=None dimension=[]>'
def test_input():
o = Input()
with pytest.raises(Exception):
o.process("test")
class Input1(Input):
def process(self, file):
pass
with pytest.raises(Exception):
class Input1(Input):
def process(self, file):
pass
def test_output():
o = Output({})
with pytest.raises(Exception):
o.process([])
class Output1(Output):
def process(self, file):
pass
with pytest.raises(Exception):
class Output1(Output):
def process(self, file):
pass
def test_generator():
o = Generator({})
with pytest.raises(Exception):
o.process([])
class Generator1(Generator):
def process(self, file):
pass
with pytest.raises(Exception):
class Generator1(Generator):
def process(self, file):
pass
def test_transformer():
o = Transformer({})
with pytest.raises(Exception):
o.process([])
class Transformer1(Transformer):
def process(self, file):
pass
with pytest.raises(Exception):
class Transformer1(Transformer):
def process(self, file):
pass