RadCluster
Graph-based cluster dynamics for irradiated materials
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Namespaces | Functions | Variables
runs.py File Reference

Go to the source code of this file.

Namespaces

namespace  runs
 

Functions

 runs._r (run_id, table, label, notes="", **over)
 
list[dict] runs.manifest ()
 
 runs._check_unique (runs)
 
list[dict] runs.runnable (runs=None, tables=None)
 

Variables

str runs.REFERENCE = "20260906_063055_full_system_bin_moment_CD_fission_I80000V20000_im5vm5"
 
dict runs.GRID = {"t_span_end_s": 4.0e8, "n_points": 37, "dose": 40.0}
 
float runs.DOSE_READ_MAIN = 15.72
 
tuple runs.DOSE_READ_T4 = (0.2, 1.0, 2.0)
 
dict runs.BASE
 
int runs.TIMEOUT_NONLINEAR_CLOSURE = 1800
 
dict runs.B4_GRID = {"i_discrete": 100, "I_bin": 18, "v_discrete": 5, "V_bin": 20}
 
tuple runs.TD_SUPERSEDED
 
tuple runs.P3_EXCLUDED
 
int runs.M_BIN_DOMAIN = 10000
 
tuple runs.M2_BINS = (4, 6, 8, 12, 16, 24, 32)
 
int runs.M2R_DOMAIN = 1000
 
tuple runs.M2R_BINS = (2, 3, 4, 6, 8, 12, 16, 24, 32)
 
tuple runs.M2D_IDISC = (25, 50, 100, 200, 400, 800)
 
tuple runs.M2D_BINS = (4, 8, 16, 32)
 
int runs.M_REF_DOMAIN = 10000
 
str runs.M_REF_RUN = "M1_D1000"
 
dict runs.TIMING_SENSITIVE_TABLES = {"T5", "M1"}
 
list[dict] runs.m = manifest()
 
list runs.blocked = [e for e in m if e.get("blocked_on")]
 
str runs.hdr