def test_transform():
data_block = create_datablock()
fom = FigureOfMerit.FigureOfMerit(data_block)
res = fom.transform(data_block)
verify_products(fom, res)
for k in expected_reply.keys():
if k == "AWS_Price_Performance":
df = fix_column(res[k], "AWS_Price_Performance")
edf = fix_column(expected_reply[k], "AWS_Price_Performance")
else:
df = fix_column(res[k], "AWS_Figure_Of_Merit")
edf = fix_column(expected_reply[k], "AWS_Figure_Of_Merit")
pd.testing.assert_frame_equal(edf, df)
def test_transform(self):
data_block = create_datablock()
fom = FigureOfMerit.FigureOfMerit(data_block)
res = fom.transform(data_block)
r_keys = list(res.keys()).sort()
p_keys = produces.sort()
assert p_keys == r_keys
for k in expected_reply.keys():
if k == 'AWS_Price_Performance':
df = fix_column(res[k], 'AWS_Price_Performance')
edf = fix_column(expected_reply[k], 'AWS_Price_Performance')
else:
df = fix_column(res[k], 'AWS_Figure_Of_Merit')
edf = fix_column(expected_reply[k], 'AWS_Figure_Of_Merit')
pd.testing.assert_frame_equal(edf, df)
def test_transform(self):
fom = FigureOfMerit.FigureOfMerit()
data_block = create_datablock()
res = fom.transform(data_block)
r_keys = res.keys().sort()
p_keys = produces.sort()
assert p_keys == r_keys
for k in expected_reply.keys():
if k == 'AWS_Price_Performance':
df = fix_column(res[k], 'AWS_Price_Performance')
edf = fix_column(expected_reply[k], 'AWS_Price_Performance')
else:
df = fix_column(res[k], 'AWS_Figure_Of_Merit')
edf = fix_column(expected_reply[k], 'AWS_Figure_Of_Merit')
assert utils.compare_dfs(edf, df)
def test_produces(self):
fom = FigureOfMerit.FigureOfMerit(create_datablock())
assert fom.produces() == produces
def test_consumes(self):
fom = FigureOfMerit.FigureOfMerit(create_datablock())
assert fom.consumes() == consumes
def test_produces(self):
fom = FigureOfMerit.FigureOfMerit()
assert fom.produces() == produces
def test_consumes(self):
fom = FigureOfMerit.FigureOfMerit()
assert fom.consumes() == consumes