import pytest from mlagents.envs.sampler_class import SamplerManager from mlagents.envs.sampler_class import ( UniformSampler, MultiRangeUniformSampler, GaussianSampler, ) from mlagents.envs.exception import UnityException def sampler_config_1(): return { "mass": {"sampler-type": "uniform", "min_value": 5, "max_value": 10}, "gravity": { "sampler-type": "multirange_uniform", "intervals": [[8, 11], [15, 20]], }, } def check_value_in_intervals(val, intervals): check_in_bounds = [a <= val <= b for a, b in intervals] return any(check_in_bounds) def test_sampler_config_1(): config = sampler_config_1() sampler = SamplerManager(config) assert sampler.is_empty() is False assert isinstance(sampler.samplers["mass"], UniformSampler) assert isinstance(sampler.samplers["gravity"], MultiRangeUniformSampler) cur_sample = sampler.sample_all() # Check uniform sampler for mass assert sampler.samplers["mass"].min_value == config["mass"]["min_value"] assert sampler.samplers["mass"].max_value == config["mass"]["max_value"] assert config["mass"]["min_value"] <= cur_sample["mass"] assert config["mass"]["max_value"] >= cur_sample["mass"] # Check multirange_uniform sampler for gravity assert sampler.samplers["gravity"].intervals == config["gravity"]["intervals"] assert check_value_in_intervals( cur_sample["gravity"], sampler.samplers["gravity"].intervals ) def sampler_config_2(): return {"angle": {"sampler-type": "gaussian", "mean": 0, "st_dev": 1}} def test_sampler_config_2(): config = sampler_config_2() sampler = SamplerManager(config) assert sampler.is_empty() is False assert isinstance(sampler.samplers["angle"], GaussianSampler) # Check angle gaussian sampler assert sampler.samplers["angle"].mean == config["angle"]["mean"] assert sampler.samplers["angle"].st_dev == config["angle"]["st_dev"] def test_empty_samplers(): empty_sampler = SamplerManager({}) assert empty_sampler.is_empty() empty_cur_sample = empty_sampler.sample_all() assert empty_cur_sample == {} none_sampler = SamplerManager(None) assert none_sampler.is_empty() none_cur_sample = none_sampler.sample_all() assert none_cur_sample == {} def incorrect_uniform_sampler(): # Do not specify required arguments to uniform sampler return {"mass": {"sampler-type": "uniform", "min-value": 10}} def incorrect_sampler_config(): # Do not specify 'sampler-type' key return {"mass": {"min-value": 2, "max-value": 30}} def test_incorrect_uniform_sampler(): config = incorrect_uniform_sampler() with pytest.raises(UnityException): SamplerManager(config) def test_incorrect_sampler(): config = incorrect_sampler_config() with pytest.raises(UnityException): SamplerManager(config)