BASE_CASE = {
    "model": {
        "random_seed": 495279142,
        "default_age_grid": "0 0.01917808 0.07671233 1 5 10 20 30 40 50 60 70 80 90 100",
        "default_time_grid": "1990 1995 2000 2005 2010 2015 2016",
        "add_calc_emr": "from_both",
        "birth_prev": 0,
        "ode_step_size": 5,
        "minimum_meas_cv": 0.2,
        "rate_case": "iota_pos_rho_zero",
        "data_density": "log_gaussian",
        "constrain_omega": 1,
        "modelable_entity_id": 2005,
        "decomp_step_id": 3,
        "research_area": 2,
        "drill": "drill",
        "drill_location_start": 70,
        "bundle_id": 173,
        "crosswalk_version_id": 5699,
        "split_sex": "most_detailed",
        "add_csmr_cause": 587,
        "drill_sex": 2,
        "model_version_id": 472515,
        "title": "test diabetes australasia marlena -- 2",
        "relabel_incidence": 2,
        "description": "<p>diabetes<\/p>",
        "addl_ode_stpes": "0.01917808 0.07671233 1.0",
        "zero_sum_random": [
            "iota"
        ],
        "bound_frac_fixed": 1.0e-8,
        "drill_location_end": [72],
        "quasi_fixed": 0
    },
    "max_num_iter": {
        "fixed": 200,
        "random": 100
    },
    "print_level": {
        "fixed": 5,
        "random": 0
    },
    "accept_after_max_steps": {
        "fixed": 5,
        "random": 5
    },
    "students_dof": {
        "priors": 5,
        "data": 5
    },
    "log_students_dof": {
        "priors": 5,
        "data": 5
    },
    "eta": {
        "priors": 1.0e-5,
        "data": 1.0e-5
    },
    "config_version": "mnorwood",
    "rate": [
        {
            "age_time_specific": 1,
            "default": {
                "value": {
                    "density": "gaussian",
                    "min": 1.0e-6,
                    "mean": 0.00015,
                    "max": 0.01,
                    "std": 1.5,
                    "eta": 1.0e-6
                },
                "dage": {
                    "density": "gaussian",
                    "min": -1,
                    "mean": 0,
                    "max": 1,
                    "std": 0.01
                },
                "dtime": {
                    "density": "gaussian",
                    "min": -1,
                    "mean": 0,
                    "max": 1,
                    "std": 0.01
                }
            },
            "rate": "iota",
            "age_grid": "0 5 10 50 100"
        },
        {
            "age_time_specific": 1,
            "default": {
                "value": {
                    "density": "gaussian",
                    "min": 1.0e-6,
                    "mean": 0.0004,
                    "max": 0.01,
                    "std": 0.2
                },
                "dage": {
                    "density": "gaussian",
                    "min": -1,
                    "mean": 0,
                    "max": 1,
                    "std": 0.01
                },
                "dtime": {
                    "density": "gaussian",
                    "min": -1,
                    "mean": 0,
                    "max": 1,
                    "std": 0.01
                }
            },
            "rate": "chi"
        },
        {
            "age_time_specific": 0,
            "default": {
                "value": {
                    "density": "log_gaussian",
                    "min": 0,
                    "mean": 0.1,
                    "max": 0.2,
                    "std": 1,
                    "eta": 1.0e-6
                },
                "dage": {
                    "density": "uniform",
                    "min": -1,
                    "mean": 0,
                    "max": 1
                },
                "dtime": {
                    "density": "uniform",
                    "min": -1,
                    "mean": 0,
                    "max": 1
                }
            },
            "rate": "pini"
        }
    ],
    "random_effect": [
        {
            "age_time_specific": 0,
            "default": {
                "value": {
                    "density": "gaussian",
                    "mean": 0,
                    "std": 1
                },
                "dage": {
                    "mean": 0,
                    "std": 1,
                    "density": "uniform"
                },
                "dtime": {
                    "mean": 0,
                    "std": 1,
                    "density": "uniform"
                }
            },
            "rate": "iota"
        }
    ],
    "study_covariate": [
        {
            "age_time_specific": 0,
            "mulcov_type": "rate_value",
            "default": {
                "value": {
                    "density": "uniform",
                    "min": -1,
                    "mean": 0,
                    "max": 1
                },
                "dage": {
                    "density": "uniform",
                    "min": -1,
                    "mean": 0,
                    "max": 1
                },
                "dtime": {
                    "density": "uniform",
                    "min": -1,
                    "mean": 0,
                    "max": 1
                }
            },
            "study_covariate_id": 0,
            "transformation": 0,
            "measure_id": 41
        }
    ],
    "country_covariate": [
        {
            "age_time_specific": 0,
            "mulcov_type": "rate_value",
            "measure_id": 41,
            "country_covariate_id": 28,
            "transformation": 0,
            "default": {
                "value": {
                    "density": "uniform",
                    "min": -1,
                    "mean": 0,
                    "max": 1,
                    "eta": 1.0e-5
                }
            }
        }
    ],
    "gbd_round_id": 6,
    "csmr_cod_output_version_id": 84,
    "csmr_mortality_output_version_id": 8003,
    "location_set_version_id": 684,
    "tolerance": {
        "fixed": 1.0e-6,
        "random": 1.0e-6
    }
}

585f7b5fccf2e116641e7f208b1724a86f903f18
<mask token>

BASE_CASE = {'model': {'random_seed': 495279142, 'default_age_grid':
    '0 0.01917808 0.07671233 1 5 10 20 30 40 50 60 70 80 90 100',
    'default_time_grid': '1990 1995 2000 2005 2010 2015 2016',
    'add_calc_emr': 'from_both', 'birth_prev': 0, 'ode_step_size': 5,
    'minimum_meas_cv': 0.2, 'rate_case': 'iota_pos_rho_zero',
    'data_density': 'log_gaussian', 'constrain_omega': 1,
    'modelable_entity_id': 2005, 'decomp_step_id': 3, 'research_area': 2,
    'drill': 'drill', 'drill_location_start': 70, 'bundle_id': 173,
    'crosswalk_version_id': 5699, 'split_sex': 'most_detailed',
    'add_csmr_cause': 587, 'drill_sex': 2, 'model_version_id': 472515,
    'title': 'test diabetes australasia marlena -- 2', 'relabel_incidence':
    2, 'description': '<p>diabetes<\\/p>', 'addl_ode_stpes':
    '0.01917808 0.07671233 1.0', 'zero_sum_random': ['iota'],
    'bound_frac_fixed': 1e-08, 'drill_location_end': [72], 'quasi_fixed': 0
    }, 'max_num_iter': {'fixed': 200, 'random': 100}, 'print_level': {
    'fixed': 5, 'random': 0}, 'accept_after_max_steps': {'fixed': 5,
    'random': 5}, 'students_dof': {'priors': 5, 'data': 5},
    'log_students_dof': {'priors': 5, 'data': 5}, 'eta': {'priors': 1e-05,
    'data': 1e-05}, 'config_version': 'mnorwood', 'rate': [{
    'age_time_specific': 1, 'default': {'value': {'density': 'gaussian',
    'min': 1e-06, 'mean': 0.00015, 'max': 0.01, 'std': 1.5, 'eta': 1e-06},
    'dage': {'density': 'gaussian', 'min': -1, 'mean': 0, 'max': 1, 'std': 
    0.01}, 'dtime': {'density': 'gaussian', 'min': -1, 'mean': 0, 'max': 1,
    'std': 0.01}}, 'rate': 'iota', 'age_grid': '0 5 10 50 100'}, {
    'age_time_specific': 1, 'default': {'value': {'density': 'gaussian',
    'min': 1e-06, 'mean': 0.0004, 'max': 0.01, 'std': 0.2}, 'dage': {
    'density': 'gaussian', 'min': -1, 'mean': 0, 'max': 1, 'std': 0.01},
    'dtime': {'density': 'gaussian', 'min': -1, 'mean': 0, 'max': 1, 'std':
    0.01}}, 'rate': 'chi'}, {'age_time_specific': 0, 'default': {'value': {
    'density': 'log_gaussian', 'min': 0, 'mean': 0.1, 'max': 0.2, 'std': 1,
    'eta': 1e-06}, 'dage': {'density': 'uniform', 'min': -1, 'mean': 0,
    'max': 1}, 'dtime': {'density': 'uniform', 'min': -1, 'mean': 0, 'max':
    1}}, 'rate': 'pini'}], 'random_effect': [{'age_time_specific': 0,
    'default': {'value': {'density': 'gaussian', 'mean': 0, 'std': 1},
    'dage': {'mean': 0, 'std': 1, 'density': 'uniform'}, 'dtime': {'mean': 
    0, 'std': 1, 'density': 'uniform'}}, 'rate': 'iota'}],
    'study_covariate': [{'age_time_specific': 0, 'mulcov_type':
    'rate_value', 'default': {'value': {'density': 'uniform', 'min': -1,
    'mean': 0, 'max': 1}, 'dage': {'density': 'uniform', 'min': -1, 'mean':
    0, 'max': 1}, 'dtime': {'density': 'uniform', 'min': -1, 'mean': 0,
    'max': 1}}, 'study_covariate_id': 0, 'transformation': 0, 'measure_id':
    41}], 'country_covariate': [{'age_time_specific': 0, 'mulcov_type':
    'rate_value', 'measure_id': 41, 'country_covariate_id': 28,
    'transformation': 0, 'default': {'value': {'density': 'uniform', 'min':
    -1, 'mean': 0, 'max': 1, 'eta': 1e-05}}}], 'gbd_round_id': 6,
    'csmr_cod_output_version_id': 84, 'csmr_mortality_output_version_id': 
    8003, 'location_set_version_id': 684, 'tolerance': {'fixed': 1e-06,
    'random': 1e-06}}

BASE_CASE = {
    "model": {
        "random_seed": 495279142,
        "default_age_grid": "0 0.01917808 0.07671233 1 5 10 20 30 40 50 60 70 80 90 100",
        "default_time_grid": "1990 1995 2000 2005 2010 2015 2016",
        "add_calc_emr": "from_both",
        "birth_prev": 0,
        "ode_step_size": 5,
        "minimum_meas_cv": 0.2,
        "rate_case": "iota_pos_rho_zero",
        "data_density": "log_gaussian",
        "constrain_omega": 1,
        "modelable_entity_id": 2005,
        "decomp_step_id": 3,
        "research_area": 2,
        "drill": "drill",
        "drill_location_start": 70,
        "bundle_id": 173,
        "crosswalk_version_id": 5699,
        "split_sex": "most_detailed",
        "add_csmr_cause": 587,
        "drill_sex": 2,
        "model_version_id": 472515,
        "title": "test diabetes australasia marlena -- 2",
        "relabel_incidence": 2,
        "description": "<p>diabetes<\/p>",
        "addl_ode_stpes": "0.01917808 0.07671233 1.0",
        "zero_sum_random": [
            "iota"
        ],
        "bound_frac_fixed": 1.0e-8,
        "drill_location_end": [72],
        "quasi_fixed": 0
    },
    "max_num_iter": {
        "fixed": 200,
        "random": 100
    },
    "print_level": {
        "fixed": 5,
        "random": 0
    },
    "accept_after_max_steps": {
        "fixed": 5,
        "random": 5
    },
    "students_dof": {
        "priors": 5,
        "data": 5
    },
    "log_students_dof": {
        "priors": 5,
        "data": 5
    },
    "eta": {
        "priors": 1.0e-5,
        "data": 1.0e-5
    },
    "config_version": "mnorwood",
    "rate": [
        {
            "age_time_specific": 1,
            "default": {
                "value": {
                    "density": "gaussian",
                    "min": 1.0e-6,
                    "mean": 0.00015,
                    "max": 0.01,
                    "std": 1.5,
                    "eta": 1.0e-6
                },
                "dage": {
                    "density": "gaussian",
                    "min": -1,
                    "mean": 0,
                    "max": 1,
                    "std": 0.01
                },
                "dtime": {
                    "density": "gaussian",
                    "min": -1,
                    "mean": 0,
                    "max": 1,
                    "std": 0.01
                }
            },
            "rate": "iota",
            "age_grid": "0 5 10 50 100"
        },
        {
            "age_time_specific": 1,
            "default": {
                "value": {
                    "density": "gaussian",
                    "min": 1.0e-6,
                    "mean": 0.0004,
                    "max": 0.01,
                    "std": 0.2
                },
                "dage": {
                    "density": "gaussian",
                    "min": -1,
                    "mean": 0,
                    "max": 1,
                    "std": 0.01
                },
                "dtime": {
                    "density": "gaussian",
                    "min": -1,
                    "mean": 0,
                    "max": 1,
                    "std": 0.01
                }
            },
            "rate": "chi"
        },
        {
            "age_time_specific": 0,
            "default": {
                "value": {
                    "density": "log_gaussian",
                    "min": 0,
                    "mean": 0.1,
                    "max": 0.2,
                    "std": 1,
                    "eta": 1.0e-6
                },
                "dage": {
                    "density": "uniform",
                    "min": -1,
                    "mean": 0,
                    "max": 1
                },
                "dtime": {
                    "density": "uniform",
                    "min": -1,
                    "mean": 0,
                    "max": 1
                }
            },
            "rate": "pini"
        }
    ],
    "random_effect": [
        {
            "age_time_specific": 0,
            "default": {
                "value": {
                    "density": "gaussian",
                    "mean": 0,
                    "std": 1
                },
                "dage": {
                    "mean": 0,
                    "std": 1,
                    "density": "uniform"
                },
                "dtime": {
                    "mean": 0,
                    "std": 1,
                    "density": "uniform"
                }
            },
            "rate": "iota"
        }
    ],
    "study_covariate": [
        {
            "age_time_specific": 0,
            "mulcov_type": "rate_value",
            "default": {
                "value": {
                    "density": "uniform",
                    "min": -1,
                    "mean": 0,
                    "max": 1
                },
                "dage": {
                    "density": "uniform",
                    "min": -1,
                    "mean": 0,
                    "max": 1
                },
                "dtime": {
                    "density": "uniform",
                    "min": -1,
                    "mean": 0,
                    "max": 1
                }
            },
            "study_covariate_id": 0,
            "transformation": 0,
            "measure_id": 41
        }
    ],
    "country_covariate": [
        {
            "age_time_specific": 0,
            "mulcov_type": "rate_value",
            "measure_id": 41,
            "country_covariate_id": 28,
            "transformation": 0,
            "default": {
                "value": {
                    "density": "uniform",
                    "min": -1,
                    "mean": 0,
                    "max": 1,
                    "eta": 1.0e-5
                }
            }
        }
    ],
    "gbd_round_id": 6,
    "csmr_cod_output_version_id": 84,
    "csmr_mortality_output_version_id": 8003,
    "location_set_version_id": 684,
    "tolerance": {
        "fixed": 1.0e-6,
        "random": 1.0e-6
    }
}
