def test_input_spec_deps_list_ok(get_dependency_spec):
"""Expect no errors for a list of valid dependencies
"""
data = get_dependency_spec
n_errors_before = len(VALIDATION_ERRORS)
validate_dependency_spec(data, 'energy_demand')
assert len(VALIDATION_ERRORS) == n_errors_before
def test_input_spec_deps_list_empty():
"""Expect no errors for an empty list
"""
data = []
# empty is ok
n_errors_before = len(VALIDATION_ERRORS)
validate_dependency_spec(data, 'energy_demand')
assert len(VALIDATION_ERRORS) == n_errors_before
def test_input_spec_deps_list():
"""Expect an error if input_spec dependencies is not a list
"""
data = {1.618}
validate_dependency_spec(data, 'energy_demand')
ex = VALIDATION_ERRORS.pop()
msg = "Expected a list of parameter definitions in 'energy_demand' model input " + \
"specification, instead got {1.618}"
assert msg in str(ex)
def test_input_spec_type():
"""Expect an error if input_spec is not a dict
"""
data = None
validate_dependency_spec(data, 'energy_demand')
ex = VALIDATION_ERRORS.pop()
msg = "Expected a list of parameter definitions in 'energy_demand' model input " + \
"specification, instead got None"
assert msg in str(ex)