|
| | diagnose_stall.MODULE_ROOT = Path(__file__).resolve().parent.parent.parent |
| |
| | diagnose_stall.REPO_ROOT = MODULE_ROOT.parent |
| |
| | diagnose_stall.m = importlib.import_module(f'radcluster_code.py_utils.{mod_name}') |
| |
| | diagnose_stall.I |
| |
| | diagnose_stall.V |
| |
| | diagnose_stall.i_mobile |
| |
| | diagnose_stall.v_mobile |
| |
| | diagnose_stall.i_discrete |
| |
| | diagnose_stall.v_discrete |
| |
| | diagnose_stall.saved = sys.stdout, sys.stderr |
| |
| | diagnose_stall.stdout |
| |
| | diagnose_stall.stderr |
| |
| | diagnose_stall.sim |
| |
| dict | diagnose_stall.overrides |
| |
| | diagnose_stall.inp = sim.input_data |
| |
| bool | diagnose_stall.placed = False |
| |
| | diagnose_stall.re = sim.rate_equations |
| |
| | diagnose_stall.PM = re.n_mom |
| |
| | diagnose_stall.flush |
| |
| dict | diagnose_stall.config |
| |
| | diagnose_stall.results = sim.run(solver_config=config, save_output=False, timeout_s=60) |
| |
| | diagnose_stall.t = results['t'] |
| |
| | diagnose_stall.y = results['y'] |
| |
| | diagnose_stall.i_d = re.i_discrete |
| |
| | diagnose_stall.i_VAC = i_d + PM * re.I_bin |
| |
| list | diagnose_stall.edges = [] |
| |
| int | diagnose_stall.edge = i_d + 1 |
| |
| int | diagnose_stall.n_lo = edge |
| |
| | diagnose_stall.n_hi = max(int(edge * 1.3), edge + 1) |
| |
| | diagnose_stall.mu0 = y[i_d + PM*k, -1] |
| |
| int | diagnose_stall.mu1 = 2 else 0 |
| |
| int | diagnose_stall.n_bar = mu1 / max(abs(mu0), 1e-300) |
| |
| int | diagnose_stall.bw = n_hi - n_lo |
| |
| | diagnose_stall.S1 = sum(range(n_lo, n_hi)) |
| |
| | diagnose_stall.S2 = sum(n*n for n in range(n_lo, n_hi)) |
| |
| int | diagnose_stall.det = bw * S2 - S1 * S1 |
| |
| int | diagnose_stall.c_lo = 0 |
| |
| tuple | diagnose_stall.phi0_lo = (S2 - S1 * n_lo) / det |
| |
| tuple | diagnose_stall.phi1_lo = (bw * n_lo - S1) / det |
| |
| tuple | diagnose_stall.phi0_hi = (S2 - S1 * (n_hi-1)) / det |
| |
| tuple | diagnose_stall.phi1_hi = (bw * (n_hi-1) - S1) / det |
| |
| tuple | diagnose_stall.c_hi = phi0_hi * mu0 + phi1_hi * mu1 |
| |
| str | diagnose_stall.flag = "" |
| |
| | diagnose_stall.v_d = re.v_discrete |
| |
| | diagnose_stall.vac_start = i_VAC + v_d |
| |
| list | diagnose_stall.v_edges = [] |
| |
| int | diagnose_stall.m_lo = edge |
| |
| | diagnose_stall.m_hi = max(int(edge * 1.3), edge + 1) |
| |
| | diagnose_stall.sia_neg = np.sum(y[:i_d, -1] < -1e-30) |
| |
| | diagnose_stall.vac_neg = np.sum(y[i_VAC:i_VAC+v_d, -1] < -1e-30) |
| |
| | diagnose_stall.c_boundary = y[i_d - 1, -1] |
| |
