def test_opt_params_bad(num_reads, max_answers, answer_mode):
with pytest.raises(sapience.UserError):
sapience.optimization_params(
{
'num_reads': num_reads,
'max_answers': max_answers,
'answer_mode': answer_mode
}, [], [])
def test_opt_defaults():
params = sapience.optimization_params({}, [], [])
assert len(params) == 7
assert params['num_vars'] == sapience.C4_NUMQUBITS
assert not params['active_vars']
assert not params['active_var_pairs']
assert not params['var_order']
assert params['num_reads'] == 1
assert params['answer_histogram'] == True
assert params['max_answers'] == 1
def test_opt_params_good(num_reads, max_answers, answer_mode):
user_params = {}
if num_reads is not None:
user_params['num_reads'] = num_reads
if max_answers is not None:
user_params['max_answers'] = max_answers
if answer_mode is not None:
user_params['answer_mode'] = answer_mode
params = sapience.optimization_params(user_params, [], [])
assert len(params) == 7
assert params['num_vars'] == sapience.C4_NUMQUBITS
assert not params['active_vars']
assert not params['active_var_pairs']
assert not params['var_order']
assert params['num_reads'] == int(
num_reads) if num_reads is not None else 1
assert params['answer_histogram'] == (answer_mode != 'raw')
assert params['max_answers'] == int(
max_answers) if max_answers is not None else params['num_reads']
def test_opt_params_badname():
with pytest.raises(sapience.UserError):
sapience.optimization_params({'_nope': 123}, [], [])
def test_opt_ignoreparams():
sapience.optimization_params(dict.fromkeys(sapience.IGNORE_PARAMS), [], [])