def test_correct_solution_count_with_repeated_color_factor_and_no_repetition_allowed(design):
crossing = [[color, text], [mix, text]]
constraints = [exclude(repeated_color_factor, get_level_from_name(repeated_color_factor, "yes"))]
block = multiple_cross_block(design, crossing, constraints)
experiments = synthesize_trials_non_uniform(block, 100)
assert len(experiments) == 32
def test_correct_solution_count_when_bookends_must_not_be_congruent(design):
crossing = [color, text]
# Require both bookends to not be congruent.
constraints = [
exclude(congruent_bookend, get_level_from_name(congruent_bookend,
"yes"))
]
block = fully_cross_block(design, crossing, constraints)
experiments = synthesize_trials_non_uniform(block, 100)
assert len(experiments) == 4
def test_correct_solution_count_with_repeated_color_factor_and_no_repetition_allowed_cnf(design=[color, text, mix, repeated_color_factor]):
crossing = [[color, text], [mix, text]]
constraints = [exclude(repeated_color_factor, get_level_from_name(repeated_color_factor, "yes"))]
block = multiple_cross_block(design, crossing, constraints)
cnf = build_cnf(block)
# with open(path_to_cnf_files+'/test_correct_solution_count_with_repeated_color_factor_and_no_repetition_allowed.cnf', 'w') as f:
# f.write(cnf.as_unigen_string())
with open(path_to_cnf_files+'/test_correct_solution_count_with_repeated_color_factor_and_no_repetition_allowed.cnf', 'r') as f:
old_cnf = f.read()
assert old_cnf == cnf.as_unigen_string()
def test_correct_solution_count_with_override_flag_and_multiple_trials_excluded(
):
# With this constraint, there should only be ONE allowed crossing, and therefore one solution.
constraints = [
exclude(stimulus_configuration,
get_level_from_name(stimulus_configuration, "legal"))
]
block = fully_cross_block(design,
crossing,
constraints,
require_complete_crossing=False)
experiments = synthesize_trials_non_uniform(block, 500)
assert block.crossing_size() == 1
assert len(experiments) == 1
assert_no_repetition(experiments)
def test_correct_solution_count_with_override_flag_and_multiple_trials_excluded_cnf(
):
# With this constraint, there should only be ONE allowed crossing, and therefore one solution.
constraints = [
exclude(stimulus_configuration,
get_level_from_name(stimulus_configuration, "legal"))
]
block = fully_cross_block(design,
crossing,
constraints,
require_complete_crossing=False)
cnf = build_cnf(block)
# with open(path_to_cnf_files+'/test_correct_solution_count_with_override_flag_and_multiple_trials_excluded.cnf', 'w') as f:
# f.write(cnf.as_unigen_string())
with open(
path_to_cnf_files +
'/test_correct_solution_count_with_override_flag_and_multiple_trials_excluded.cnf',
'r') as f:
old_cnf = f.read()
assert old_cnf == cnf.as_unigen_string() # FIXME
def response_left(color):
return color == "green"
def response_right(color):
return color == "brown"
response = Factor("response", [
DerivedLevel("up", WithinTrial(response_up, [color])),
DerivedLevel("down", WithinTrial(response_down, [color])),
DerivedLevel("left", WithinTrial(response_left, [color])),
DerivedLevel("right", WithinTrial(response_right, [color])),
])
# constraints
constraints = [minimum_trials(20), exclude(congruency, conLevel)]
# experiment
design = [color, word, congruency, response]
crossing = [color, word]
block = fully_cross_block(design, crossing, constraints)
experiments = synthesize_trials_non_uniform(block, 1)
print_experiments(block, experiments)
def illegal_stimulus(color, word):
return color == "green" and word == "blue"
def legal_stimulus(color, word):
return not illegal_stimulus(color, word)
stimulus_configuration = factor("stimulus configuration", [
derived_level("legal", within_trial(legal_stimulus, [color, word])),
derived_level("illegal", within_trial(illegal_stimulus, [color, word]))
])
constraints = [
exclude(stimulus_configuration,
get_level_from_name(stimulus_configuration, "illegal"))
]
design = [color, word, stimulus_configuration]
crossing = [color, word]
def test_no_solutions_without_override_flag():
block = fully_cross_block(design, crossing, constraints)
experiments = synthesize_trials_non_uniform(block, 500)
assert block.crossing_size() == 6
assert len(experiments) == 0
assert_no_repetition(experiments)
