# serializer version: 1 # name: test_parse_config_all_fields_toml Config(generation_config=GenerationConfig(counts=[1, 5, 10], orientations=[, , ], num_replicas=3, override_dipole_configs={'scenario1': [DipoleTO(p=array([3, 5, 7]), s=array([2, 4, 6]), w=10), DipoleTO(p=array([30, 50, 70]), s=array([20, 40, 60]), w=10.55)]}, override_measurement_filesets=None, tantri_configs=[TantriConfig(index_seed_starter=15151, num_seeds=5, delta_t=0.01, num_iterations=100), TantriConfig(index_seed_starter=1234, num_seeds=100, delta_t=1, num_iterations=200)], num_bin_time_series=25, bin_log_width=0.25), general_config=GeneralConfig(dots_json_name='test_dots.json', indexes_json_name='test_indexes.json', out_dir_name='out', log_pattern='%(asctime)s | %(message)s', measurement_type=, root_directory=PosixPath('test_root'), mega_merged_name='test_mega_merged.csv', mega_merged_inferenced_name='test_mega_merged_inferenced.csv', skip_to_stage=1), deepdog_config=DeepdogConfig(costs_to_try=[20, 2, 0.2], target_success=2000, max_monte_carlo_cycles_steps=20, use_log_noise=True), default_model_param_config=DefaultModelParamConfig(x_min=-20, x_max=20, y_min=-10, y_max=10, z_min=5, z_max=6.5, w_log_min=-5, w_log_max=1)) # --- # name: test_parse_config_few_fields_toml Config(generation_config=GenerationConfig(counts=[1, 5, 10], orientations=[, , ], num_replicas=2, override_dipole_configs={'scenario1': [DipoleTO(p=array([3, 5, 7]), s=array([2, 4, 6]), w=10), DipoleTO(p=array([30, 50, 70]), s=array([20, 40, 60]), w=10.55)]}, override_measurement_filesets=None, tantri_configs=[TantriConfig(index_seed_starter=15151, num_seeds=5, delta_t=0.01, num_iterations=100), TantriConfig(index_seed_starter=1234, num_seeds=100, delta_t=1, num_iterations=200)], num_bin_time_series=25, bin_log_width=0.25), general_config=GeneralConfig(dots_json_name='dots.json', indexes_json_name='indexes.json', out_dir_name='out', log_pattern='%(asctime)s | %(process)d | %(levelname)-7s | %(name)s:%(lineno)d | %(message)s', measurement_type=, root_directory=PosixPath('test_root1'), mega_merged_name='mega_merged_coalesced.csv', mega_merged_inferenced_name='mega_merged_coalesced_inferenced.csv', skip_to_stage=None), deepdog_config=DeepdogConfig(costs_to_try=[5, 2, 1, 0.5, 0.2], target_success=2000, max_monte_carlo_cycles_steps=20, use_log_noise=True), default_model_param_config=DefaultModelParamConfig(x_min=-20, x_max=20, y_min=-10, y_max=10, z_min=5, z_max=6.5, w_log_min=-5, w_log_max=1)) # --- # name: test_parse_config_geom_params_toml Config(generation_config=GenerationConfig(counts=[1, 5, 10], orientations=[, , ], num_replicas=2, override_dipole_configs={'scenario1': [DipoleTO(p=array([3, 5, 7]), s=array([2, 4, 6]), w=10), DipoleTO(p=array([30, 50, 70]), s=array([20, 40, 60]), w=10.55)]}, override_measurement_filesets=None, tantri_configs=[TantriConfig(index_seed_starter=15151, num_seeds=5, delta_t=0.01, num_iterations=100), TantriConfig(index_seed_starter=1234, num_seeds=100, delta_t=1, num_iterations=200)], num_bin_time_series=25, bin_log_width=0.25), general_config=GeneralConfig(dots_json_name='dots.json', indexes_json_name='indexes.json', out_dir_name='out', log_pattern='%(asctime)s | %(process)d | %(levelname)-7s | %(name)s:%(lineno)d | %(message)s', measurement_type=, root_directory=PosixPath('test_root1'), mega_merged_name='mega_merged_coalesced.csv', mega_merged_inferenced_name='mega_merged_coalesced_inferenced.csv', skip_to_stage=None), deepdog_config=DeepdogConfig(costs_to_try=[5, 2, 1, 0.5, 0.2], target_success=2000, max_monte_carlo_cycles_steps=20, use_log_noise=True), default_model_param_config=DefaultModelParamConfig(x_min=-20, x_max=20, y_min=-10, y_max=10, z_min=0, z_max=2, w_log_min=-3, w_log_max=1.5)) # --- # name: test_parse_config_toml Config(generation_config=GenerationConfig(counts=[1, 10], orientations=[, , ], num_replicas=3, override_dipole_configs=None, override_measurement_filesets=None, tantri_configs=[TantriConfig(index_seed_starter=31415, num_seeds=100, delta_t=0.05, num_iterations=100000)], num_bin_time_series=25, bin_log_width=0.25), general_config=GeneralConfig(dots_json_name='test_dots.json', indexes_json_name='test_indexes.json', out_dir_name='test_out', log_pattern='%(asctime)s | %(process)d | %(levelname)-7s | %(name)s:%(lineno)d | %(message)s', measurement_type=, root_directory=PosixPath('test_root'), mega_merged_name='test_mega_merged.csv', mega_merged_inferenced_name='test_mega_merged_inferenced.csv', skip_to_stage=1), deepdog_config=DeepdogConfig(costs_to_try=[10, 1, 0.1], target_success=1000, max_monte_carlo_cycles_steps=20, use_log_noise=False), default_model_param_config=DefaultModelParamConfig(x_min=-20, x_max=20, y_min=-10, y_max=10, z_min=5, z_max=6.5, w_log_min=-5, w_log_max=1)) # ---