34 commponents issue rediscovered in tutorials

Tutorials/Tutorial_01/circ_utils.py

@@ -97,7 +97,7 @@ def run_case(row, output_path, N_cycles, dt):
     ind = model.time_object.n_c
 
     # Get the raw pressure signal...
-    raw_signal = model.commponents["ao"].P[-ind:]
+    raw_signal = model.components["ao"].P[-ind:]
 
     # Resamples the raw signals (variable length) to a standard 100 time points resolution
     resampled_dt, resampled_signal = signal_get_pulse(raw_signal, model.time_object.dt)

Tutorials/Tutorial_01/results/pca1/s1_2000.csv

@@ -0,0 +1,18 @@
+,S1
+lv.k_pas,0.4967415416631023
+T,0.1411744610490576
+lv.E_act,0.09747760100629148
+art.r,0.07816420152114471
+ven.c,0.04516297902272398
+lv.E_pas,0.03982975821383736
+la.k_pas,0.01817470324202461
+art.c,0.015248526750466599
+ao.c,0.0022417592192951826
+la.E_pas,0.0019197928382030183
+la.E_act,0.0016658865170825184
+av.r,0.0006716410947172182
+ven.r,0.00039416452577817606
+la.v_ref,0.000297796467825093
+mv.r,-0.00026564632058904795
+ao.r,-0.0011253401708154155
+lv.v_ref,-0.0016459051107987931

Tutorials/Tutorial_01/results/pca1/st_2000.csv

@@ -0,0 +1,18 @@
+,ST
+lv.k_pas,0.5200467687799436
+T,0.16660411768106761
+lv.E_act,0.11394401064991273
+art.r,0.09284801328211646
+ven.c,0.05379554789914217
+lv.E_pas,0.042581378669203446
+art.c,0.023934022938009145
+la.k_pas,0.016537807786911482
+ao.c,0.005145799688929605
+ao.r,0.0027760712518225114
+la.E_act,0.0026114626407715597
+ven.r,0.00192464693467053
+la.E_pas,0.0019143387802109861
+mv.r,0.0012194214495411413
+la.v_ref,0.0006549963192471515
+av.r,0.0006020339226706061
+lv.v_ref,0.0005889159656748305

Tutorials/Tutorial_01/results/pca1/st_cumsum_2000.csv

@@ -0,0 +1,18 @@
+,ST
+lv.k_pas,0.4963560164434911
+T,0.6553704765645758
+lv.E_act,0.7641237630362341
+art.r,0.8527420811838942
+ven.c,0.9040869706450034
+lv.E_pas,0.9447285528252036
+art.c,0.967572260345679
+la.k_pas,0.9833566876060913
+ao.c,0.988268070174635
+ao.r,0.9909176773842916
+la.E_act,0.9934101747350691
+ven.r,0.9952471442980075
+la.E_pas,0.9970742752948946
+mv.r,0.9982381459492204
+la.v_ref,0.9988633038837067
+av.r,0.999437912125811
+lv.v_ref,1.0

Tutorials/Tutorial_01/results/pca2/s1_2000.csv

@@ -0,0 +1,18 @@
+,S1
+art.r,0.3120035347646762
+lv.k_pas,0.1644847444586456
+ao.r,0.14305200665962908
+ao.c,0.06930042410771352
+T,0.06686347748770656
+lv.E_act,0.0369710717058946
+lv.E_pas,0.006200280493842553
+art.c,0.005989448187438672
+ven.c,0.005338490962193522
+la.v_ref,0.003301016713380724
+la.E_act,0.002462192355169687
+mv.r,-0.0007518541824519396
+la.E_pas,-0.0011908525561373242
+la.k_pas,-0.0015211021056158811
+lv.v_ref,-0.0021849470310234265
+ven.r,-0.0037723834345089824
+av.r,-0.004102675747117407

Tutorials/Tutorial_01/results/pca2/st_2000.csv

@@ -0,0 +1,18 @@
+,ST
+art.r,0.3833232937616872
+lv.k_pas,0.24881127892779936
+ao.r,0.2055035942043401
+ao.c,0.1242891120430541
+T,0.1057902711376601
+lv.E_act,0.049328866849006045
+lv.E_pas,0.02319810592088946
+art.c,0.016622432974893284
+ven.c,0.009959625174458551
+la.k_pas,0.008857228979373747
+la.E_act,0.004193345197196544
+mv.r,0.003202197074417515
+ven.r,0.0031171802849364375
+lv.v_ref,0.003043718179109454
+la.v_ref,0.0028627897929660137
+av.r,0.002536426577210221
+la.E_pas,0.00241725340893204

Tutorials/Tutorial_01/results/pca2/st_cumsum_2000.csv

@@ -0,0 +1,18 @@
+,ST
+art.r,0.3202214959416807
+lv.k_pas,0.5280740351483291
+ao.r,0.6997481009524751
+ao.c,0.8035770256106088
+T,0.8919523459500989
+lv.E_act,0.9331608083435092
+lv.E_pas,0.9525400954932725
+art.c,0.9664261818335402
+ven.c,0.9747462764489389
+la.k_pas,0.9821454487920536
+la.E_act,0.9856484951602217
+mv.r,0.9883235539269545
+ven.r,0.9909275911722955
+lv.v_ref,0.9934702594744865
+la.v_ref,0.9958617834047804
+av.r,0.9979806692802772
+la.E_pas,1.0

Tutorials/Tutorial_01/results/pca3/s1_2000.csv

@@ -0,0 +1,18 @@
+,S1
+T,0.39511354471976584
+ao.r,0.1761674743690959
+art.r,0.10211768254072745
+art.c,0.08879790268652603
+lv.k_pas,0.08342045688864674
+ao.c,0.026210682302134945
+lv.E_act,0.012644416801058685
+ven.c,0.011049519808673447
+mv.r,0.007421713528876667
+lv.E_pas,0.005912768479094278
+ven.r,0.005262586158718894
+la.E_pas,0.002805188460990181
+lv.v_ref,0.002636968815668091
+la.v_ref,0.0019328786665448719
+av.r,0.00010928432677745744
+la.k_pas,-0.0009226899954692373
+la.E_act,-0.00234002906430051

Tutorials/Tutorial_01/results/pca3/st_2000.csv

@@ -0,0 +1,18 @@
+,ST
+T,0.45077718696212254
+ao.r,0.19467007907599534
+lv.k_pas,0.1731381652126324
+art.r,0.14422866746767224
+art.c,0.13432987691472828
+ao.c,0.06425355756889659
+lv.E_act,0.04602381348068619
+lv.E_pas,0.027323549702766164
+ven.c,0.02550873594794144
+la.k_pas,0.01665587328581359
+la.E_pas,0.014290785879092327
+la.v_ref,0.01344051722738124
+mv.r,0.012783652376257086
+la.E_act,0.012010782977881967
+ven.r,0.01201054661046881
+av.r,0.011940972694059885
+lv.v_ref,0.011569738812411587

Tutorials/Tutorial_01/results/pca3/st_cumsum_2000.csv

@@ -0,0 +1,18 @@
+,ST
+T,0.33025022133425236
+ao.r,0.47287020868380286
+lv.k_pas,0.5997153974747848
+art.r,0.7053807921123031
+art.c,0.8037940944399107
+ao.c,0.8508677978623161
+lv.E_act,0.8845859518156576
+lv.E_pas,0.9046038422457121
+ven.c,0.9232921564204765
+la.k_pas,0.9354946502428122
+la.E_pas,0.945964424082559
+la.v_ref,0.9558112706346282
+mv.r,0.9651768821802582
+la.E_act,0.9739762709948844
+ven.r,0.9827754866410523
+av.r,0.9915237307608038
+lv.v_ref,1.0

Tutorials/Tutorial_01/results/pca4/s1_2000.csv

@@ -0,0 +1,18 @@
+,S1
+T,0.5002161299770672
+art.r,0.07970710193181055
+ao.r,0.06387496718780498
+art.c,0.0594900075576269
+ao.c,0.030605619145745007
+lv.E_act,0.017485080172940603
+la.E_act,0.009099700406407367
+la.v_ref,0.008968284318571544
+la.E_pas,0.007829285456839457
+mv.r,0.007432150395427842
+ven.r,0.0015063254233093277
+la.k_pas,7.34578369829469e-05
+lv.E_pas,2.0009102399673418e-05
+lv.v_ref,-0.00015551788634942122
+av.r,-0.0008060573745964583
+ven.c,-0.006765940013737537
+lv.k_pas,-0.010056705821872127

Tutorials/Tutorial_01/results/pca4/st_2000.csv

@@ -0,0 +1,18 @@
+,ST
+T,0.6086527965532545
+art.c,0.1992123779246193
+art.r,0.16771448187717392
+lv.k_pas,0.14470438382800135
+ao.r,0.07798384938551907
+ao.c,0.07640490029071455
+lv.E_act,0.05716388609098575
+ven.c,0.04948875341978345
+lv.E_pas,0.031508000548784845
+la.k_pas,0.026036096270219612
+la.E_pas,0.01981899843140677
+ven.r,0.01927305251697198
+av.r,0.01635320184538273
+lv.v_ref,0.015128323302218149
+mv.r,0.014797943048678248
+la.v_ref,0.013612411689609394
+la.E_act,0.0131686779096835

Tutorials/Tutorial_01/results/pca4/st_cumsum_2000.csv

@@ -0,0 +1,18 @@
+,ST
+T,0.3924204451018643
+art.c,0.5208598615601109
+art.r,0.6289914465967216
+lv.k_pas,0.7222875901970524
+ao.r,0.7725665950088615
+ao.c,0.8218275943007991
+lv.E_act,0.858683216669757
+ven.c,0.8905904037466977
+lv.E_pas,0.9109047499053654
+la.k_pas,0.9276911617068605
+la.E_pas,0.9404691859432862
+ven.r,0.9528952191267549
+av.r,0.9634387191046512
+lv.v_ref,0.9731924956378736
+mv.r,0.9827332640868792
+la.v_ref,0.9915096776421877
+la.E_act,1.0

Tutorials/Tutorial_01/step1_creating_the_dataset.ipynb

@@ -382,7 +382,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "gperksmax",
    "language": "python",
    "name": "python3"
   },
@@ -396,7 +396,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.10.4"
   }
  },
  "nbformat": 4,

Tutorials/Tutorial_01/step2_pca_and_cross_validation.ipynb

@@ -345,7 +345,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "gperksmax",
    "language": "python",
    "name": "python3"
   },
@@ -359,7 +359,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.10.4"
   }
  },
  "nbformat": 4,