def test_eligible_resources_with_constraints_limit(self):
test_df = pandas.DataFrame({
'EntryName': ['g1', 'g2', 'g3', 'g4', 'g5', 'a1', 'n5', 'a2'],
'FOM': [0.00, 0.00, 0.00, 0.00, 0.00, 0.01, 0.05, 0.10]
})
fom_plugin = resource_dist_plugins.FOMOrderPlugin(resources)
# constraint works correctly
fom_df = fom_plugin.eligible_resources(constraint='FOM < 1',
limit=8).reset_index(drop=True)
assert (test_df.equals(fom_df))
def test_order_resources(self):
test_df = pandas.DataFrame({
'EntryName': [
'g1', 'g2', 'g3', 'g4', 'g5', 'a1', 'n5', 'n1', 'a2', 'a4',
'a5', 'n2', 'n3', 'a3', 'n4'
],
'fom':
[0, 0, 0, 0, 0, 0.01, 0.05, 0.1, 0.1, 0.1, 0.15, 0.3, 1, 1, 2.1]
})
fom_plugin = resource_dist_plugins.FOMOrderPlugin(resources)
assert (test_df.equals(fom_plugin._ordered_resources))
def test_eligible_resources(self):
test_df = pandas.DataFrame({
'EntryName': [
'g1', 'g2', 'g3', 'g4', 'g5', 'a1', 'n5', 'n1', 'a2', 'a4',
'a5', 'n2', 'n3', 'a3', 'n4'
],
'fom':
[0, 0, 0, 0, 0, 0.01, 0.05, 0.1, 0.1, 0.1, 0.15, 0.3, 1, 1, 2.1]
})
fom_plugin = resource_dist_plugins.FOMOrderPlugin(resources)
# all resources are returned correctly
assert (test_df.equals(fom_plugin.eligible_resources()))
def shortlist_entries(self, foms):
fom_plugin = resource_dist_plugins.FOMOrderPlugin(foms)
return fom_plugin.eligible_resources(
constraint=self.fom_resource_constraint,
limit=self.fom_resource_limit)