def test_lower_skew_factors_yield_lower_value():
action = 0.5
min_value = 0.0
max_value = 1.0
skew_factors = [0.5, 0.3]
assert CrossAdaptiveEnv.map_action_to_effect_parameter(
action, min_value, max_value,
skew_factors[0]) > CrossAdaptiveEnv.map_action_to_effect_parameter(
action, min_value, max_value, skew_factors[1])
def test_non_linear_mapping_still_obtains_the_max_value():
action = 1.0
min_value = 0.0
max_value = 1.0
skew_factor = 0.1
assert (CrossAdaptiveEnv.map_action_to_effect_parameter(
action, min_value, max_value, skew_factor) == 1.0)
def test_non_linear_mapping():
action = 0.5
min_value = 0.0
max_value = 1.0
skew_factor = 0.5
assert (CrossAdaptiveEnv.map_action_to_effect_parameter(
action, min_value, max_value, skew_factor) == 0.5625)
def test_linear_mapping():
action = 0.5
min_value = 0.0
max_value = 1.0
skew_factor = 1.0
assert (CrossAdaptiveEnv.map_action_to_effect_parameter(
action, min_value, max_value, skew_factor) == 0.75)
action = 0.0
min_value = 50
max_value = 20000
skew_factor = 1.0
assert (CrossAdaptiveEnv.map_action_to_effect_parameter(
action, min_value, max_value, skew_factor) == 10025)
action = 1.0
min_value = 0.0
max_value = 1.0
skew_factor = 1.0
assert (CrossAdaptiveEnv.map_action_to_effect_parameter(
action, min_value, max_value, skew_factor) == 1.0)