Module Definition
dashboard | hierarchy | modlist | groups | tests | asserts

Module : alert_handler_class
SCORELINECONDTOGGLEFSMBRANCHASSERT
100.00 100.00

Source File(s) :
/workspaces/repo/scratch/os_regression_2024_09_08/alert_handler-sim-vcs/default/sim-vcs/../src/lowrisc_ip_alert_handler_component_0.1/rtl/alert_handler_class.sv

Module self-instances :
NAMESCORELINECONDTOGGLEFSMBRANCHASSERT
tb.dut.u_class 100.00 100.00



Module Instance : tb.dut.u_class

Instance :
SCORELINECONDTOGGLEFSMBRANCHASSERT
100.00 100.00


Instance's subtree :
SCORELINECONDTOGGLEFSMBRANCHASSERT
100.00 100.00


Parent :
SCORELINECONDTOGGLEFSMBRANCHASSERTNAME
100.00 100.00 100.00 100.00 dut


Subtrees :
NAMESCORELINECONDTOGGLEFSMBRANCHASSERT
no children


Since this is the module's only instance, the coverage report is the same as for the module.
Line Coverage for Module : alert_handler_class
Line No.TotalCoveredPercent
TOTAL1212100.00
CONT_ASSIGN2411100.00
CONT_ASSIGN2511100.00
ALWAYS3366100.00
CONT_ASSIGN4511100.00
CONT_ASSIGN4511100.00
CONT_ASSIGN4511100.00
CONT_ASSIGN4511100.00

23 // assign alert cause 24 1/1 assign alert_cause_o = alert_en_i & alert_trig_i; Tests: T1 T2 T3  25 1/1 assign loc_alert_cause_o = loc_alert_en_i & loc_alert_trig_i; Tests: T1 T2 T3  26 27 // classification mapping 28 logic [N_CLASSES-1:0][NAlerts-1:0] class_masks; 29 logic [N_CLASSES-1:0][N_LOC_ALERT-1:0] loc_class_masks; 30 31 // this is basically an address to onehot0 decoder 32 always_comb begin : p_class_mask 33 1/1 class_masks = '0; Tests: T1 T2 T3  34 1/1 loc_class_masks = '0; Tests: T1 T2 T3  35 1/1 for (int unsigned kk = 0; kk < NAlerts; kk++) begin Tests: T1 T2 T3  36 1/1 class_masks[alert_class_i[kk]][kk] = 1'b1; Tests: T1 T2 T3  37 end 38 1/1 for (int unsigned kk = 0; kk < N_LOC_ALERT; kk++) begin Tests: T1 T2 T3  39 1/1 loc_class_masks[loc_alert_class_i[kk]][kk] = 1'b1; Tests: T1 T2 T3  40 end 41 end 42 43 // mask and OR reduction, followed by class enable gating 44 for (genvar k = 0; k < N_CLASSES; k++) begin : gen_classifier 45 4/4 assign class_trig_o[k] = (|{ alert_cause_o & class_masks[k], Tests: T1 T2 T3  | T1 T2 T3  | T1 T2 T3  | T1 T2 T3 
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%