From 04275a1424d2cadb95ca7bd50edd2b3b6164226c Mon Sep 17 00:00:00 2001
From: David Minton <daminton@purdue.edu>
Date: Tue, 29 Jun 2021 13:23:10 -0400
Subject: [PATCH] Updated examples with new Python module structure

---
 .../9pl_18tp_encounters/init_cond.py          |   8 +-
 .../9pl_18tp_encounters/param.swiftest.in     |   2 +-
 .../9pl_18tp_encounters/pl.swifter.in         |  18 +-
 .../9pl_18tp_encounters/pl.swiftest.in        |  18 +-
 .../swiftest_rmvs_vs_swifter_rmvs.ipynb       | 287 +++++++++---------
 .../9pl_18tp_encounters/tp.in                 |  72 ++---
 .../swiftest/{swiftestio.py => io.py}         |  22 +-
 python/swiftest/swiftest/simulation_class.py  |  24 +-
 8 files changed, 225 insertions(+), 226 deletions(-)
 rename python/swiftest/swiftest/{swiftestio.py => io.py} (98%)

diff --git a/examples/rmvs_swifter_comparison/9pl_18tp_encounters/init_cond.py b/examples/rmvs_swifter_comparison/9pl_18tp_encounters/init_cond.py
index c8c14eefe..314e59420 100644
--- a/examples/rmvs_swifter_comparison/9pl_18tp_encounters/init_cond.py
+++ b/examples/rmvs_swifter_comparison/9pl_18tp_encounters/init_cond.py
@@ -1,5 +1,5 @@
 import numpy as np
-import swiftest.swiftestio as swio
+import swiftest.io as swio
 import astropy.constants as const
 import sys
 import xarray as xr
@@ -43,7 +43,7 @@
 rmax = 1000.0
 
 sys.stdout = open(swiftest_input, "w")
-print(f'! Swiftest input file generated using init_cond.py')
+print(f'! VERSION      Swiftest input file generated using init_cond.py')
 print(f'T0             {t_0} ')
 print(f'TSTOP          {end_sim}')
 print(f'DT             {deltaT}')
@@ -136,7 +136,7 @@
 tpds = tpda.to_dataset(dim = 'vec')
 
 ds = xr.combine_by_coords([ds, tpds])
-swio.swiftest_xr2_infile(ds, param)
+swio.swiftest_xr2infile(ds, param)
 
 # Swifter PL file
 plfile = open(swifter_pl, 'w')
@@ -154,7 +154,7 @@
 
 # Swifter parameter file
 sys.stdout = open(swifter_input, "w")
-print(f"! Swifter input file generated using init_cond.py")
+print(f"! VERSION     Swifter input file generated using init_cond.py")
 print(f"T0            {t_0} ")
 print(f"TSTOP         {end_sim}")
 print(f"DT            {deltaT}")
diff --git a/examples/rmvs_swifter_comparison/9pl_18tp_encounters/param.swiftest.in b/examples/rmvs_swifter_comparison/9pl_18tp_encounters/param.swiftest.in
index 4b7e90915..fff05bacf 100644
--- a/examples/rmvs_swifter_comparison/9pl_18tp_encounters/param.swiftest.in
+++ b/examples/rmvs_swifter_comparison/9pl_18tp_encounters/param.swiftest.in
@@ -1,4 +1,4 @@
-! Swiftest input file generated using init_cond.py
+! VERSION      Swiftest input file generated using init_cond.py
 T0             0 
 TSTOP          365.25
 DT             1.0
diff --git a/examples/rmvs_swifter_comparison/9pl_18tp_encounters/pl.swifter.in b/examples/rmvs_swifter_comparison/9pl_18tp_encounters/pl.swifter.in
index 98127b31a..f02f6bc6f 100644
--- a/examples/rmvs_swifter_comparison/9pl_18tp_encounters/pl.swifter.in
+++ b/examples/rmvs_swifter_comparison/9pl_18tp_encounters/pl.swifter.in
@@ -3,38 +3,38 @@
 0.0 0.0 0.0
 0.0 0.0 0.0
 1 4.9125474498983625e-11 0.0014751258227142052
-2439400.0
+1.6306381826061646e-05
 0.008059842448018334 -0.4616051037329109 -0.03846017738329229
 0.02248719132054853 0.001934639213990692 -0.001904656977422976
 2 7.243452483873647e-10 0.006759134232034941
-6051800.0
+4.0453784346544176e-05
 -0.5115875215389065 0.5030818749037324 0.03642547299277956
 -0.01425515725454357 -0.01452868630179309 0.0006232072038298823
 3 8.997011382166019e-10 0.010044625087011915
-6371008.4
+4.25875607065041e-05
 -0.1090020607540907 -1.009893805009766 4.823302918632528e-05
 0.01682491922568941 -0.001910549762056979 3.992660742687128e-08
 4 9.549535102761465e-11 0.0072467897902424765
-3389500.0
+2.2657408050928896e-05
 -1.342897929331636 0.9778655112682739 0.05343398538723887
 -0.007712315645393206 -0.01011917844182223 -2.287744801261131e-05
 5 2.825345908631355e-07 0.3552720805286442
-69911000.0
+0.0004673261703049093
 3.923184193414315 -3.168419770483168 -0.0746147877972047
 0.004655552638985802 0.006232623300954468 -0.0001300429201057457
 6 8.459715183006416e-08 0.4376460836930155
-58232000.0
+0.00038925687730393614
 6.185794462795267 -7.804174837804826 -0.110498432926239
 0.004066833203985018 0.003458637040736611 -0.0002219310939327014
 7 1.2920249163736674e-08 0.46946272948265794
-25362000.0
+0.00016953449859497232
 14.9290976575471 12.92949673572929 -0.1454099139559955
 -0.002599557960646664 0.002795888198858545 4.391864857782088e-05
 8 1.5243589003230834e-08 0.78119478483336
-24622000.0
+0.00016458790412449367
 29.54416169025338 -4.716921603714237 -0.5838030174427992
 0.0004792636209523189 0.00312573757291745 -7.53264045199501e-05
 9 2.1919422829042796e-12 0.05379680851617536
-1188300.0
+7.943294877391593e-06
 14.54448346259197 -31.05223519593471 -0.8828000265625595
 0.002923077617691739 0.0006625916902153526 -0.0009142553677224461
diff --git a/examples/rmvs_swifter_comparison/9pl_18tp_encounters/pl.swiftest.in b/examples/rmvs_swifter_comparison/9pl_18tp_encounters/pl.swiftest.in
index 385f84350..0920f9b2e 100644
--- a/examples/rmvs_swifter_comparison/9pl_18tp_encounters/pl.swiftest.in
+++ b/examples/rmvs_swifter_comparison/9pl_18tp_encounters/pl.swiftest.in
@@ -1,37 +1,37 @@
 9
 1 4.9125474498983625056e-11
-2439400.0
+1.6306381826061645943e-05
 0.008059842448018333591 -0.46160510373291091524 -0.038460177383292291908
 0.02248719132054852949 0.0019346392139906921279 -0.0019046569774229759606
 2 7.243452483873647106e-10
-6051800.0
+4.0453784346544178454e-05
 -0.51158752153890652004 0.5030818749037323512 0.036425472992779560355
 -0.01425515725454356988 -0.014528686301793089943 0.00062320720382988232425
 3 8.997011382166018993e-10
-6371008.4000000003725
+4.25875607065040958e-05
 -0.109002060754090704386 -1.0098938050097661101 4.8233029186325282966e-05
 0.016824919225689409317 -0.0019105497620569790936 3.9926607426871282392e-08
 4 9.549535102761465872e-11
-3389500.0
+2.265740805092889601e-05
 -1.3428979293316360977 0.97786551126827392366 0.053433985387238869258
 -0.007712315645393206092 -0.0101191784418222296525 -2.2877448012611311785e-05
 5 2.8253459086313549713e-07
-69911000.0
+0.00046732617030490929307
 3.923184193414314791 -3.1684197704831680298 -0.07461478779720470689
 0.0046555526389858022113 0.006232623300954467766 -0.00013004292010574569365
 6 8.45971518300641563e-08
-58232000.0
+0.00038925687730393611812
 6.1857944627952665684 -7.804174837804826126 -0.11049843292623899582
 0.0040668332039850179674 0.0034586370407366113193 -0.00022193109393270141328
 7 1.2920249163736673984e-08
-25362000.0
+0.00016953449859497231466
 14.929097657547099942 12.9294967357292893695 -0.14540991395599550673
 -0.0025995579606466640267 0.0027958881988585450113 4.391864857782088156e-05
 8 1.5243589003230834746e-08
-24622000.0
+0.000164587904124493665
 29.544161690253378794 -4.7169216037142369657 -0.58380301744279916587
 0.00047926362095231893815 0.00312573757291745008 -7.532640451995010825e-05
 9 2.1919422829042797324e-12
-1188300.0
+7.943294877391593783e-06
 14.544483462591969669 -31.052235195934709822 -0.88280002656255951443
 0.0029230776176917390448 0.0006625916902153525834 -0.0009142553677224461557
diff --git a/examples/rmvs_swifter_comparison/9pl_18tp_encounters/swiftest_rmvs_vs_swifter_rmvs.ipynb b/examples/rmvs_swifter_comparison/9pl_18tp_encounters/swiftest_rmvs_vs_swifter_rmvs.ipynb
index 7079172eb..304a0c190 100644
--- a/examples/rmvs_swifter_comparison/9pl_18tp_encounters/swiftest_rmvs_vs_swifter_rmvs.ipynb
+++ b/examples/rmvs_swifter_comparison/9pl_18tp_encounters/swiftest_rmvs_vs_swifter_rmvs.ipynb
@@ -8,17 +8,10 @@
    "source": [
     "import numpy as np\n",
     "import xarray as xr\n",
-    "import swiftestio as swio\n",
+    "import swiftest\n",
     "import matplotlib.pyplot as plt"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "code",
    "execution_count": 2,
@@ -28,14 +21,16 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Reading Swifter file param.swifter.in\n"
+      "Reading Swifter file param.swifter.in\n",
+      "Swifter simulation data stored as xarray DataSet .ds\n"
      ]
     }
    ],
    "source": [
     "inparfile = 'param.swifter.in'\n",
-    "param = swio.read_swifter_param(inparfile)\n",
-    "swifterdat = swio.swifter2xr(param)"
+    "swiftersim = swiftest.Simulation(source=inparfile, codename=\"Swifter\")\n",
+    "swiftersim.bin2xr()\n",
+    "swifterdat = swiftersim.ds"
    ]
   },
   {
@@ -47,14 +42,16 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Reading Swiftest file param.swiftest.in\n"
+      "Reading Swiftest file param.swiftest.in\n",
+      "Swiftest simulation data stored as xarray DataSet .ds\n"
      ]
     }
    ],
    "source": [
-    "param_file_name = 'param.swiftest.in'\n",
-    "config = swio.read_swiftest_config(param_file_name)\n",
-    "swiftestdat = swio.swiftest2xr(config)"
+    "inparfile = 'param.swiftest.in'\n",
+    "swiftestsim = swiftest.Simulation(source=inparfile)\n",
+    "swiftestsim.bin2xr()\n",
+    "swiftestdat = swiftestsim.ds"
    ]
   },
   {
@@ -97,7 +94,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -455,140 +452,140 @@
        "  fill: currentColor;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;px&#x27; (time (d): 366)&gt;\n",
-       "array([ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, -6.93889390e-18,\n",
-       "       -6.93889390e-18, -6.93889390e-18, -6.93889390e-18, -6.93889390e-18,\n",
-       "       -6.93889390e-18, -1.38777878e-17, -1.38777878e-17, -1.38777878e-17,\n",
-       "       -1.38777878e-17, -1.38777878e-17, -2.77555756e-17, -2.77555756e-17,\n",
-       "       -2.77555756e-17, -2.77555756e-17, -2.77555756e-17, -2.77555756e-17,\n",
-       "       -2.77555756e-17, -2.77555756e-17, -5.55111512e-17, -5.55111512e-17,\n",
-       "       -5.55111512e-17, -5.55111512e-17, -5.55111512e-17, -5.55111512e-17,\n",
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-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
+       "array([0.00000000e+00, 2.22044605e-16, 4.44089210e-16, 8.88178420e-16,\n",
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+       "       2.90878432e-14, 3.28626015e-14, 3.68594044e-14, 4.13002965e-14,\n",
+       "       4.59632332e-14, 5.08482145e-14, 5.59552404e-14, 6.12843110e-14,\n",
+       "       6.68354261e-14, 7.26085858e-14, 7.86037901e-14, 8.50430837e-14,\n",
+       "       9.17044218e-14, 9.85878046e-14, 1.05693232e-13, 1.13242749e-13,\n",
+       "       1.20792265e-13, 1.28563826e-13, 1.36779477e-13, 1.45217172e-13,\n",
+       "       1.53876911e-13, 1.62980740e-13, 1.72528658e-13, 1.81854531e-13,\n",
+       "       1.91624494e-13, 2.01838546e-13, 2.12274642e-13, 2.22932783e-13,\n",
+       "       2.33812969e-13, 2.45137244e-13, 2.56905608e-13, 2.68896017e-13,\n",
+       "       2.81108470e-13, 2.93765012e-13, 3.06643599e-13, 3.19744231e-13,\n",
+       "       3.33066907e-13, 3.46611628e-13, 3.60822483e-13, 3.75477427e-13,\n",
+       "       3.90132371e-13, 4.05231404e-13, 4.20774526e-13, 4.36761738e-13,\n",
+       "       4.52748949e-13, 4.69180250e-13, 4.86277685e-13, 5.03153075e-13,\n",
+       "       5.20472554e-13, 5.37792033e-13, 5.55999691e-13, 5.74651438e-13,\n",
+       "       5.93525229e-13, 6.12843110e-13, 6.32827124e-13, 6.52811138e-13,\n",
+       "       6.73017198e-13, 6.93223257e-13, 7.14317494e-13, 7.36077865e-13,\n",
+       "       7.57838237e-13, 7.79820652e-13, 8.02691247e-13, 8.25561841e-13,\n",
        "...\n",
-       "       -2.99760217e-15, -3.10862447e-15, -3.21964677e-15, -3.44169138e-15,\n",
-       "       -3.55271368e-15, -3.66373598e-15, -3.77475828e-15, -3.88578059e-15,\n",
-       "       -3.99680289e-15, -4.10782519e-15, -4.21884749e-15, -4.32986980e-15,\n",
-       "       -4.44089210e-15, -4.55191440e-15, -4.66293670e-15, -4.77395901e-15,\n",
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-       "       -6.21724894e-15, -6.32827124e-15, -6.43929354e-15, -6.66133815e-15,\n",
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-       "       -7.43849426e-15, -7.54951657e-15, -7.66053887e-15, -7.88258347e-15,\n",
-       "       -7.99360578e-15, -8.21565038e-15, -8.32667268e-15, -8.43769499e-15,\n",
-       "       -8.54871729e-15, -8.65973959e-15, -8.77076189e-15, -8.88178420e-15,\n",
-       "       -8.99280650e-15, -9.21485110e-15, -9.32587341e-15, -9.43689571e-15,\n",
-       "       -9.54791801e-15, -9.65894031e-15, -9.76996262e-15, -9.88098492e-15,\n",
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-       "       -1.07691633e-14, -1.08801856e-14, -1.09912079e-14, -1.10467191e-14,\n",
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-       "       -1.15463195e-14, -1.16295862e-14, -1.16850973e-14, -1.17406085e-14,\n",
-       "       -1.17961196e-14, -1.17961196e-14, -1.18516308e-14, -1.19071419e-14,\n",
-       "       -1.19348975e-14, -1.19626531e-14])\n",
+       "       1.31983313e-11, 1.32187594e-11, 1.32370226e-11, 1.32530653e-11,\n",
+       "       1.32669986e-11, 1.32788225e-11, 1.32883704e-11, 1.32956424e-11,\n",
+       "       1.33005829e-11, 1.33031919e-11, 1.33035249e-11, 1.33012490e-11,\n",
+       "       1.32966971e-11, 1.32894806e-11, 1.32797107e-11, 1.32676092e-11,\n",
+       "       1.32526212e-11, 1.32353017e-11, 1.32149847e-11, 1.31921141e-11,\n",
+       "       1.31665789e-11, 1.31382683e-11, 1.31069600e-11, 1.30728761e-11,\n",
+       "       1.30360167e-11, 1.29962707e-11, 1.29535271e-11, 1.29078970e-11,\n",
+       "       1.28593802e-11, 1.28074218e-11, 1.27525768e-11, 1.26949562e-11,\n",
+       "       1.26338939e-11, 1.25698341e-11, 1.25023325e-11, 1.24318333e-11,\n",
+       "       1.23581145e-11, 1.22810651e-11, 1.22007959e-11, 1.21171961e-11,\n",
+       "       1.20300436e-11, 1.19397825e-11, 1.18460797e-11, 1.17490462e-11,\n",
+       "       1.16484600e-11, 1.15446541e-11, 1.14370735e-11, 1.13261622e-11,\n",
+       "       1.12119203e-11, 1.10941256e-11, 1.09725562e-11, 1.08476561e-11,\n",
+       "       1.07189813e-11, 1.05870868e-11, 1.04514175e-11, 1.03119735e-11,\n",
+       "       1.01691988e-11, 1.00233155e-11, 9.87299131e-12, 9.71933645e-12,\n",
+       "       9.56190682e-12, 9.40092448e-12, 9.23616739e-12, 9.06807962e-12,\n",
+       "       8.89599505e-12, 8.72013572e-12, 8.54050164e-12, 8.35753688e-12,\n",
+       "       8.17101942e-12, 7.98094923e-12, 7.78666021e-12, 7.58904051e-12,\n",
+       "       7.38742401e-12, 7.18247684e-12, 6.97397695e-12, 6.76170231e-12,\n",
+       "       6.54609700e-12, 6.32649488e-12])\n",
        "Coordinates:\n",
        "    id        int64 4\n",
-       "  * time (d)  (time (d)) float64 0.0 1.0 2.0 3.0 4.0 ... 362.0 363.0 364.0 365.0</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'px'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time (d)</span>: 366</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-7e710286-655a-4191-bfaf-922be650b9ba' class='xr-array-in' type='checkbox' checked><label for='section-7e710286-655a-4191-bfaf-922be650b9ba' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0 -6.939e-18 ... -1.185e-14 -1.191e-14 -1.193e-14 -1.196e-14</span></div><div class='xr-array-data'><pre>array([ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, -6.93889390e-18,\n",
-       "       -6.93889390e-18, -6.93889390e-18, -6.93889390e-18, -6.93889390e-18,\n",
-       "       -6.93889390e-18, -1.38777878e-17, -1.38777878e-17, -1.38777878e-17,\n",
-       "       -1.38777878e-17, -1.38777878e-17, -2.77555756e-17, -2.77555756e-17,\n",
-       "       -2.77555756e-17, -2.77555756e-17, -2.77555756e-17, -2.77555756e-17,\n",
-       "       -2.77555756e-17, -2.77555756e-17, -5.55111512e-17, -5.55111512e-17,\n",
-       "       -5.55111512e-17, -5.55111512e-17, -5.55111512e-17, -5.55111512e-17,\n",
-       "       -5.55111512e-17,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
+       "  * time (d)  (time (d)) float64 0.0 1.0 2.0 3.0 4.0 ... 362.0 363.0 364.0 365.0</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'px'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time (d)</span>: 366</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ebc0144f-3e8f-4ef6-a58e-17f2fbf26875' class='xr-array-in' type='checkbox' checked><label for='section-ebc0144f-3e8f-4ef6-a58e-17f2fbf26875' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 2.22e-16 4.441e-16 8.882e-16 ... 6.762e-12 6.546e-12 6.326e-12</span></div><div class='xr-array-data'><pre>array([0.00000000e+00, 2.22044605e-16, 4.44089210e-16, 8.88178420e-16,\n",
+       "       1.55431223e-15, 2.66453526e-15, 3.99680289e-15, 5.55111512e-15,\n",
+       "       7.32747196e-15, 9.32587341e-15, 1.13242749e-14, 1.35447209e-14,\n",
+       "       1.62092562e-14, 1.90958360e-14, 2.22044605e-14, 2.55351296e-14,\n",
+       "       2.90878432e-14, 3.28626015e-14, 3.68594044e-14, 4.13002965e-14,\n",
+       "       4.59632332e-14, 5.08482145e-14, 5.59552404e-14, 6.12843110e-14,\n",
+       "       6.68354261e-14, 7.26085858e-14, 7.86037901e-14, 8.50430837e-14,\n",
+       "       9.17044218e-14, 9.85878046e-14, 1.05693232e-13, 1.13242749e-13,\n",
+       "       1.20792265e-13, 1.28563826e-13, 1.36779477e-13, 1.45217172e-13,\n",
+       "       1.53876911e-13, 1.62980740e-13, 1.72528658e-13, 1.81854531e-13,\n",
+       "       1.91624494e-13, 2.01838546e-13, 2.12274642e-13, 2.22932783e-13,\n",
+       "       2.33812969e-13, 2.45137244e-13, 2.56905608e-13, 2.68896017e-13,\n",
+       "       2.81108470e-13, 2.93765012e-13, 3.06643599e-13, 3.19744231e-13,\n",
+       "       3.33066907e-13, 3.46611628e-13, 3.60822483e-13, 3.75477427e-13,\n",
+       "       3.90132371e-13, 4.05231404e-13, 4.20774526e-13, 4.36761738e-13,\n",
+       "       4.52748949e-13, 4.69180250e-13, 4.86277685e-13, 5.03153075e-13,\n",
+       "       5.20472554e-13, 5.37792033e-13, 5.55999691e-13, 5.74651438e-13,\n",
+       "       5.93525229e-13, 6.12843110e-13, 6.32827124e-13, 6.52811138e-13,\n",
+       "       6.73017198e-13, 6.93223257e-13, 7.14317494e-13, 7.36077865e-13,\n",
+       "       7.57838237e-13, 7.79820652e-13, 8.02691247e-13, 8.25561841e-13,\n",
        "...\n",
-       "       -2.99760217e-15, -3.10862447e-15, -3.21964677e-15, -3.44169138e-15,\n",
-       "       -3.55271368e-15, -3.66373598e-15, -3.77475828e-15, -3.88578059e-15,\n",
-       "       -3.99680289e-15, -4.10782519e-15, -4.21884749e-15, -4.32986980e-15,\n",
-       "       -4.44089210e-15, -4.55191440e-15, -4.66293670e-15, -4.77395901e-15,\n",
-       "       -4.88498131e-15, -4.99600361e-15, -5.10702591e-15, -5.21804822e-15,\n",
-       "       -5.44009282e-15, -5.66213743e-15, -5.88418203e-15, -5.99520433e-15,\n",
-       "       -6.21724894e-15, -6.32827124e-15, -6.43929354e-15, -6.66133815e-15,\n",
-       "       -6.88338275e-15, -7.10542736e-15, -7.21644966e-15, -7.32747196e-15,\n",
-       "       -7.43849426e-15, -7.54951657e-15, -7.66053887e-15, -7.88258347e-15,\n",
-       "       -7.99360578e-15, -8.21565038e-15, -8.32667268e-15, -8.43769499e-15,\n",
-       "       -8.54871729e-15, -8.65973959e-15, -8.77076189e-15, -8.88178420e-15,\n",
-       "       -8.99280650e-15, -9.21485110e-15, -9.32587341e-15, -9.43689571e-15,\n",
-       "       -9.54791801e-15, -9.65894031e-15, -9.76996262e-15, -9.88098492e-15,\n",
-       "       -9.99200722e-15, -1.01030295e-14, -1.02140518e-14, -1.03250741e-14,\n",
-       "       -1.04360964e-14, -1.05471187e-14, -1.06026299e-14, -1.07136522e-14,\n",
-       "       -1.07691633e-14, -1.08801856e-14, -1.09912079e-14, -1.10467191e-14,\n",
-       "       -1.11577414e-14, -1.12687637e-14, -1.13242749e-14, -1.14352972e-14,\n",
-       "       -1.15463195e-14, -1.16295862e-14, -1.16850973e-14, -1.17406085e-14,\n",
-       "       -1.17961196e-14, -1.17961196e-14, -1.18516308e-14, -1.19071419e-14,\n",
-       "       -1.19348975e-14, -1.19626531e-14])</pre></div></div></li><li class='xr-section-item'><input id='section-73c8db8e-9a12-4d4e-8195-4d795e2da0ed' class='xr-section-summary-in' type='checkbox'  checked><label for='section-73c8db8e-9a12-4d4e-8195-4d795e2da0ed' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>id</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>4</div><input id='attrs-5a0393ab-0bcc-488b-a4be-1e7745ef54ac' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5a0393ab-0bcc-488b-a4be-1e7745ef54ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71796963-bdc1-4b17-802c-1c2502e1346e' class='xr-var-data-in' type='checkbox'><label for='data-71796963-bdc1-4b17-802c-1c2502e1346e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(4)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time (d)</span></div><div class='xr-var-dims'>(time (d))</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 ... 363.0 364.0 365.0</div><input id='attrs-de0c28fd-0c73-49c3-b959-a3ab35baa4ac' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-de0c28fd-0c73-49c3-b959-a3ab35baa4ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87cdd217-6ad6-4b6e-8587-823dcda88fb1' class='xr-var-data-in' type='checkbox'><label for='data-87cdd217-6ad6-4b6e-8587-823dcda88fb1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0.,   1.,   2., ..., 363., 364., 365.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3c5cfce6-b323-4928-b570-ceec8e768635' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3c5cfce6-b323-4928-b570-ceec8e768635' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "       1.31983313e-11, 1.32187594e-11, 1.32370226e-11, 1.32530653e-11,\n",
+       "       1.32669986e-11, 1.32788225e-11, 1.32883704e-11, 1.32956424e-11,\n",
+       "       1.33005829e-11, 1.33031919e-11, 1.33035249e-11, 1.33012490e-11,\n",
+       "       1.32966971e-11, 1.32894806e-11, 1.32797107e-11, 1.32676092e-11,\n",
+       "       1.32526212e-11, 1.32353017e-11, 1.32149847e-11, 1.31921141e-11,\n",
+       "       1.31665789e-11, 1.31382683e-11, 1.31069600e-11, 1.30728761e-11,\n",
+       "       1.30360167e-11, 1.29962707e-11, 1.29535271e-11, 1.29078970e-11,\n",
+       "       1.28593802e-11, 1.28074218e-11, 1.27525768e-11, 1.26949562e-11,\n",
+       "       1.26338939e-11, 1.25698341e-11, 1.25023325e-11, 1.24318333e-11,\n",
+       "       1.23581145e-11, 1.22810651e-11, 1.22007959e-11, 1.21171961e-11,\n",
+       "       1.20300436e-11, 1.19397825e-11, 1.18460797e-11, 1.17490462e-11,\n",
+       "       1.16484600e-11, 1.15446541e-11, 1.14370735e-11, 1.13261622e-11,\n",
+       "       1.12119203e-11, 1.10941256e-11, 1.09725562e-11, 1.08476561e-11,\n",
+       "       1.07189813e-11, 1.05870868e-11, 1.04514175e-11, 1.03119735e-11,\n",
+       "       1.01691988e-11, 1.00233155e-11, 9.87299131e-12, 9.71933645e-12,\n",
+       "       9.56190682e-12, 9.40092448e-12, 9.23616739e-12, 9.06807962e-12,\n",
+       "       8.89599505e-12, 8.72013572e-12, 8.54050164e-12, 8.35753688e-12,\n",
+       "       8.17101942e-12, 7.98094923e-12, 7.78666021e-12, 7.58904051e-12,\n",
+       "       7.38742401e-12, 7.18247684e-12, 6.97397695e-12, 6.76170231e-12,\n",
+       "       6.54609700e-12, 6.32649488e-12])</pre></div></div></li><li class='xr-section-item'><input id='section-c8e83ee1-6210-4df1-b575-4f9572208741' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c8e83ee1-6210-4df1-b575-4f9572208741' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>id</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>4</div><input id='attrs-63cb2379-a981-4348-833a-cbd1fede10c9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-63cb2379-a981-4348-833a-cbd1fede10c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1826038b-6841-492f-bc15-44da3de4b3b6' class='xr-var-data-in' type='checkbox'><label for='data-1826038b-6841-492f-bc15-44da3de4b3b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(4)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time (d)</span></div><div class='xr-var-dims'>(time (d))</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 ... 363.0 364.0 365.0</div><input id='attrs-39689f27-9bf8-408c-b0b5-1b1b2e8cbbfd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-39689f27-9bf8-408c-b0b5-1b1b2e8cbbfd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d1d9aad-0c7f-4cff-92aa-3f0374ee6a2c' class='xr-var-data-in' type='checkbox'><label for='data-5d1d9aad-0c7f-4cff-92aa-3f0374ee6a2c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0.,   1.,   2., ..., 363., 364., 365.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-58ebc301-6beb-4f02-92dc-c8dda8008e82' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-58ebc301-6beb-4f02-92dc-c8dda8008e82' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'px' (time (d): 366)>\n",
-       "array([ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, -6.93889390e-18,\n",
-       "       -6.93889390e-18, -6.93889390e-18, -6.93889390e-18, -6.93889390e-18,\n",
-       "       -6.93889390e-18, -1.38777878e-17, -1.38777878e-17, -1.38777878e-17,\n",
-       "       -1.38777878e-17, -1.38777878e-17, -2.77555756e-17, -2.77555756e-17,\n",
-       "       -2.77555756e-17, -2.77555756e-17, -2.77555756e-17, -2.77555756e-17,\n",
-       "       -2.77555756e-17, -2.77555756e-17, -5.55111512e-17, -5.55111512e-17,\n",
-       "       -5.55111512e-17, -5.55111512e-17, -5.55111512e-17, -5.55111512e-17,\n",
-       "       -5.55111512e-17,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
+       "array([0.00000000e+00, 2.22044605e-16, 4.44089210e-16, 8.88178420e-16,\n",
+       "       1.55431223e-15, 2.66453526e-15, 3.99680289e-15, 5.55111512e-15,\n",
+       "       7.32747196e-15, 9.32587341e-15, 1.13242749e-14, 1.35447209e-14,\n",
+       "       1.62092562e-14, 1.90958360e-14, 2.22044605e-14, 2.55351296e-14,\n",
+       "       2.90878432e-14, 3.28626015e-14, 3.68594044e-14, 4.13002965e-14,\n",
+       "       4.59632332e-14, 5.08482145e-14, 5.59552404e-14, 6.12843110e-14,\n",
+       "       6.68354261e-14, 7.26085858e-14, 7.86037901e-14, 8.50430837e-14,\n",
+       "       9.17044218e-14, 9.85878046e-14, 1.05693232e-13, 1.13242749e-13,\n",
+       "       1.20792265e-13, 1.28563826e-13, 1.36779477e-13, 1.45217172e-13,\n",
+       "       1.53876911e-13, 1.62980740e-13, 1.72528658e-13, 1.81854531e-13,\n",
+       "       1.91624494e-13, 2.01838546e-13, 2.12274642e-13, 2.22932783e-13,\n",
+       "       2.33812969e-13, 2.45137244e-13, 2.56905608e-13, 2.68896017e-13,\n",
+       "       2.81108470e-13, 2.93765012e-13, 3.06643599e-13, 3.19744231e-13,\n",
+       "       3.33066907e-13, 3.46611628e-13, 3.60822483e-13, 3.75477427e-13,\n",
+       "       3.90132371e-13, 4.05231404e-13, 4.20774526e-13, 4.36761738e-13,\n",
+       "       4.52748949e-13, 4.69180250e-13, 4.86277685e-13, 5.03153075e-13,\n",
+       "       5.20472554e-13, 5.37792033e-13, 5.55999691e-13, 5.74651438e-13,\n",
+       "       5.93525229e-13, 6.12843110e-13, 6.32827124e-13, 6.52811138e-13,\n",
+       "       6.73017198e-13, 6.93223257e-13, 7.14317494e-13, 7.36077865e-13,\n",
+       "       7.57838237e-13, 7.79820652e-13, 8.02691247e-13, 8.25561841e-13,\n",
        "...\n",
-       "       -2.99760217e-15, -3.10862447e-15, -3.21964677e-15, -3.44169138e-15,\n",
-       "       -3.55271368e-15, -3.66373598e-15, -3.77475828e-15, -3.88578059e-15,\n",
-       "       -3.99680289e-15, -4.10782519e-15, -4.21884749e-15, -4.32986980e-15,\n",
-       "       -4.44089210e-15, -4.55191440e-15, -4.66293670e-15, -4.77395901e-15,\n",
-       "       -4.88498131e-15, -4.99600361e-15, -5.10702591e-15, -5.21804822e-15,\n",
-       "       -5.44009282e-15, -5.66213743e-15, -5.88418203e-15, -5.99520433e-15,\n",
-       "       -6.21724894e-15, -6.32827124e-15, -6.43929354e-15, -6.66133815e-15,\n",
-       "       -6.88338275e-15, -7.10542736e-15, -7.21644966e-15, -7.32747196e-15,\n",
-       "       -7.43849426e-15, -7.54951657e-15, -7.66053887e-15, -7.88258347e-15,\n",
-       "       -7.99360578e-15, -8.21565038e-15, -8.32667268e-15, -8.43769499e-15,\n",
-       "       -8.54871729e-15, -8.65973959e-15, -8.77076189e-15, -8.88178420e-15,\n",
-       "       -8.99280650e-15, -9.21485110e-15, -9.32587341e-15, -9.43689571e-15,\n",
-       "       -9.54791801e-15, -9.65894031e-15, -9.76996262e-15, -9.88098492e-15,\n",
-       "       -9.99200722e-15, -1.01030295e-14, -1.02140518e-14, -1.03250741e-14,\n",
-       "       -1.04360964e-14, -1.05471187e-14, -1.06026299e-14, -1.07136522e-14,\n",
-       "       -1.07691633e-14, -1.08801856e-14, -1.09912079e-14, -1.10467191e-14,\n",
-       "       -1.11577414e-14, -1.12687637e-14, -1.13242749e-14, -1.14352972e-14,\n",
-       "       -1.15463195e-14, -1.16295862e-14, -1.16850973e-14, -1.17406085e-14,\n",
-       "       -1.17961196e-14, -1.17961196e-14, -1.18516308e-14, -1.19071419e-14,\n",
-       "       -1.19348975e-14, -1.19626531e-14])\n",
+       "       1.31983313e-11, 1.32187594e-11, 1.32370226e-11, 1.32530653e-11,\n",
+       "       1.32669986e-11, 1.32788225e-11, 1.32883704e-11, 1.32956424e-11,\n",
+       "       1.33005829e-11, 1.33031919e-11, 1.33035249e-11, 1.33012490e-11,\n",
+       "       1.32966971e-11, 1.32894806e-11, 1.32797107e-11, 1.32676092e-11,\n",
+       "       1.32526212e-11, 1.32353017e-11, 1.32149847e-11, 1.31921141e-11,\n",
+       "       1.31665789e-11, 1.31382683e-11, 1.31069600e-11, 1.30728761e-11,\n",
+       "       1.30360167e-11, 1.29962707e-11, 1.29535271e-11, 1.29078970e-11,\n",
+       "       1.28593802e-11, 1.28074218e-11, 1.27525768e-11, 1.26949562e-11,\n",
+       "       1.26338939e-11, 1.25698341e-11, 1.25023325e-11, 1.24318333e-11,\n",
+       "       1.23581145e-11, 1.22810651e-11, 1.22007959e-11, 1.21171961e-11,\n",
+       "       1.20300436e-11, 1.19397825e-11, 1.18460797e-11, 1.17490462e-11,\n",
+       "       1.16484600e-11, 1.15446541e-11, 1.14370735e-11, 1.13261622e-11,\n",
+       "       1.12119203e-11, 1.10941256e-11, 1.09725562e-11, 1.08476561e-11,\n",
+       "       1.07189813e-11, 1.05870868e-11, 1.04514175e-11, 1.03119735e-11,\n",
+       "       1.01691988e-11, 1.00233155e-11, 9.87299131e-12, 9.71933645e-12,\n",
+       "       9.56190682e-12, 9.40092448e-12, 9.23616739e-12, 9.06807962e-12,\n",
+       "       8.89599505e-12, 8.72013572e-12, 8.54050164e-12, 8.35753688e-12,\n",
+       "       8.17101942e-12, 7.98094923e-12, 7.78666021e-12, 7.58904051e-12,\n",
+       "       7.38742401e-12, 7.18247684e-12, 6.97397695e-12, 6.76170231e-12,\n",
+       "       6.54609700e-12, 6.32649488e-12])\n",
        "Coordinates:\n",
        "    id        int64 4\n",
        "  * time (d)  (time (d)) float64 0.0 1.0 2.0 3.0 4.0 ... 362.0 363.0 364.0 365.0"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -599,12 +596,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -625,12 +622,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -651,7 +648,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -663,7 +660,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -686,7 +683,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -698,7 +695,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
diff --git a/examples/rmvs_swifter_comparison/9pl_18tp_encounters/tp.in b/examples/rmvs_swifter_comparison/9pl_18tp_encounters/tp.in
index 63d1af3d3..6ae12da23 100644
--- a/examples/rmvs_swifter_comparison/9pl_18tp_encounters/tp.in
+++ b/examples/rmvs_swifter_comparison/9pl_18tp_encounters/tp.in
@@ -1,55 +1,55 @@
 18
 101
-3449832.5721127702855 3449832.102447824087 -0.038460177383292291908
-0.02248719805191334506 0.00193463921399069207 -0.0019046569774229759036
+0.0080829031543499848395 -0.46158204302657929174 -0.038460177383292291908
+0.025090740792557679473 0.00193463921399069207 -0.0019046569774229759036
 102
--3449832.5559930852614 -3449833.02565803146 -0.038460177383292291908
-0.022487184589183712574 0.00193463921399069207 -0.0019046569774229759036
+0.008036781741686682343 -0.46162816443924253873 -0.038460177383292291908
+0.01988364184853937816 0.00193463921399069207 -0.0019046569774229759036
 103
-8558537.125181974843 8558538.139851370826 0.036425472992779560355
--0.0142551408440447086035 -0.014528686301793089508 0.0006232072038298823056
+-0.51153031124843428845 0.50313908519420458276 0.036425472992779560355
+-0.007907923549198175514 -0.014528686301793089508 0.0006232072038298823056
 104
--8558538.148357016966 -8558537.1336876209825 0.036425472992779560355
--0.014255173665042430303 -0.014528686301793089508 0.0006232072038298823056
+-0.5116447318293787516 0.5030246646132601196 0.036425472992779560355
+-0.020602390959888965127 -0.014528686301793089508 0.0006232072038298823056
 105
-9009966.37627085112 9009965.47537910752 4.8233029186325282966e-05
-0.016824937050967138374 -0.0019105497620569790364 3.9926607426871281197e-08
+-0.10894183284815117663 -1.0098335771038264852 4.8233029186325282966e-05
+0.023719359459963285097 -0.0019105497620569790364 3.9926607426871281197e-08
 106
--9009966.594274973497 -9009967.495166717097 4.8233029186325282966e-05
-0.016824901400411679253 -0.0019105497620569790364 3.9926607426871281197e-08
+-0.109062288660030232146 -1.009954032915705735 4.8233029186325282966e-05
+0.00993047899141553253 -0.0019105497620569790364 3.9926607426871281197e-08
 107
-4793475.5267656762153 4793477.847529117018 0.053433985387238869258
--0.0077123076835328777112 -0.01011917844182222935 -2.28774480126113111e-05
+-1.3428658869178822233 0.97789755368202779806 0.053433985387238869258
+-0.0046328365471693128824 -0.01011917844182222935 -2.28774480126113111e-05
 108
--4793478.2125615347177 -4793475.891798093915 0.053433985387238869258
--0.0077123236072535340108 -0.01011917844182222935 -2.28774480126113111e-05
+-1.3429299717453899721 0.97783346885452004926 0.053433985387238869258
+-0.0107917947436170988396 -0.01011917844182222935 -2.28774480126113111e-05
 109
-98869088.2822496295 98869081.19064567983 -0.07461478779720470689
-0.0046556479963669027827 0.0062326233009544675795 -0.00013004292010574568976
+3.9238450924224119731 -3.1677588714750708476 -0.07461478779720470689
+0.041537769840633231855 0.0062326233009544675795 -0.00013004292010574568976
 110
--98869080.43588125706 -98869087.52748520672 -0.07461478779720470689
-0.004655457281604701361 0.0062326233009544675795 -0.00013004292010574568976
+3.9225232944062176088 -3.169080669491265212 -0.07461478779720470689
+-0.03222666456266162771 0.0062326233009544675795 -0.00013004292010574568976
 111
-82352490.3499045223 82352476.359935224056 -0.11049843292623899582
-0.0040668903766289789606 0.0034586370407366112158 -0.00022193109393270140663
+6.1863449551503970625 -7.8036243454496956318 -0.11049843292623899582
+0.026180002087518607773 0.0034586370407366112158 -0.00022193109393270140663
 112
--82352477.97831560671 -82352491.96828490496 -0.11049843292623899582
-0.004066776031341056731 0.0034586370407366112158 -0.00022193109393270140663
+6.1852439704401360743 -7.80472533015995662 -0.11049843292623899582
+-0.018046335679548570347 0.0034586370407366112158 -0.00022193109393270140663
 113
-35867299.298004090786 35867297.298403166234 -0.14540991395599550673
--0.0025995241047005760923 0.0027958881988585449277 4.3918648577820880246e-05
+14.92933741553430238 12.9297364937164918075 -0.14540991395599550673
+0.010495205578015229936 0.0027958881988585449277 4.3918648577820880246e-05
 114
--35867269.439808771014 -35867271.439409695566 -0.14540991395599550673
--0.0025995918165927518056 0.0027958881988585449277 4.3918648577820880246e-05
+14.928857899559897504 12.9292569777420869315 -0.14540991395599550673
+-0.015694321499308556966 0.0027958881988585449277 4.3918648577820880246e-05
 115
-34820795.876912035048 34820761.615828737617 -0.58380301744279916587
-0.00047930094366581383431 0.0031257375729174499863 -7.532640451995010599e-05
+29.544394452699595632 -4.7166888412680219034 -0.58380301744279916587
+0.014914899434230450767 0.0031257375729174499863 -7.532640451995010599e-05
 116
--34820736.788588650525 -34820771.049671947956 -0.58380301744279916587
-0.0004792262982388240133 0.0031257375729174499863 -7.532640451995010599e-05
+29.543928927807161955 -4.717154366160452028 -0.58380301744279916587
+-0.013956372192325811402 0.0031257375729174499863 -7.532640451995010599e-05
 117
-1680524.5206514112651 1680478.9239327528048 -0.88280002656255951443
-0.0029230796549344268721 0.00066259169021535256356 -0.0009142553677224461283
+14.544494696107316045 -31.052223962419365222 -0.88280002656255951443
+0.0037110399802695879026 0.00066259169021535256356 -0.0009142553677224461283
 118
--1680495.4316844861023 -1680541.0284031445626 -0.88280002656255951443
-0.0029230755804490510426 0.00066259169021535256356 -0.0009142553677224461283
+14.544472229076623293 -31.052246429450054421 -0.88280002656255951443
+0.002135115255113890012 0.00066259169021535256356 -0.0009142553677224461283
diff --git a/python/swiftest/swiftest/swiftestio.py b/python/swiftest/swiftest/io.py
similarity index 98%
rename from python/swiftest/swiftest/swiftestio.py
rename to python/swiftest/swiftest/io.py
index 2d7ab3e51..5eea561f3 100644
--- a/python/swiftest/swiftest/swiftestio.py
+++ b/python/swiftest/swiftest/io.py
@@ -675,17 +675,17 @@ def solar_system_pl(param, ephemerides_start_date):
         'plutocharon': np.longdouble(1.35e8)
     }
     
-    # Planet radii in meters
+    # Planet radii in AU
     planetradius = {
-        'mercury': np.longdouble(2439.4e3),
-        'venus': np.longdouble(6051.8e3),
-        'earthmoon': np.longdouble(6371.0084e3),  # Earth only for radius
-        'mars': np.longdouble(3389.50e3),
-        'jupiter': np.longdouble(69911e3),
-        'saturn': np.longdouble(58232.0e3),
-        'uranus': np.longdouble(25362.e3),
-        'neptune': np.longdouble(24622.e3),
-        'plutocharon': np.longdouble(1188.3e3)
+        'mercury': np.longdouble(2439.4e3) / swiftest.AU2M,
+        'venus': np.longdouble(6051.8e3) / swiftest.AU2M,
+        'earthmoon': np.longdouble(6371.0084e3) / swiftest.AU2M,  # Earth only for radius
+        'mars': np.longdouble(3389.50e3) / swiftest.AU2M,
+        'jupiter': np.longdouble(69911e3) / swiftest.AU2M,
+        'saturn': np.longdouble(58232.0e3) / swiftest.AU2M,
+        'uranus': np.longdouble(25362.e3) / swiftest.AU2M,
+        'neptune': np.longdouble(24622.e3) / swiftest.AU2M,
+        'plutocharon': np.longdouble(1188.3e3 / swiftest.AU2M)
     }
     
     # Unit conversion factors
@@ -805,7 +805,7 @@ def solar_system_pl(param, ephemerides_start_date):
     return ds
 
 
-def swiftest_xr2_infile(ds, param, framenum=-1):
+def swiftest_xr2infile(ds, param, framenum=-1):
     """
     Writes a set of Swiftest input files from a single frame of a Swiftest xarray dataset
 
diff --git a/python/swiftest/swiftest/simulation_class.py b/python/swiftest/swiftest/simulation_class.py
index d50318656..6165843f0 100644
--- a/python/swiftest/swiftest/simulation_class.py
+++ b/python/swiftest/swiftest/simulation_class.py
@@ -1,4 +1,4 @@
-from swiftest import swiftestio
+from swiftest import io
 
 
 class Simulation:
@@ -54,13 +54,13 @@ def __init__(self, codename="Swiftest", source=""):
     
     def read_param(self, param_file_name, codename="Swiftest"):
         if codename == "Swiftest":
-            self.param = swiftestio.read_swiftest_param(param_file_name)
+            self.param = io.read_swiftest_param(param_file_name)
             self.codename = "Swiftest"
         elif codename == "Swifter":
-            self.param = swiftestio.read_swifter_param(param_file_name)
+            self.param = io.read_swifter_param(param_file_name)
             self.codename = "Swifter"
         elif codename == "Swift":
-            self.param = swiftestio.read_swift_param(param_file_name)
+            self.param = io.read_swift_param(param_file_name)
             self.codename = "Swift"
         else:
             print(f'{codename} is not a recognized code name. Valid options are "Swiftest", "Swifter", or "Swift".')
@@ -71,9 +71,9 @@ def write_param(self, param_file_name):
         # Check to see if the parameter type matches the output type. If not, we need to convert
         codename = self.param['! VERSION'].split()[0]
         if codename == "Swifter" or codename == "Swiftest":
-            swiftestio.write_labeled_param(self.param, param_file_name)
+            io.write_labeled_param(self.param, param_file_name)
         elif codename == "Swift":
-            swiftestio.write_swift_param(self.param, param_file_name)
+            io.write_swift_param(self.param, param_file_name)
         else:
             print('Cannot process unknown code type. Call the read_param method with a valid code name. Valid options are "Swiftest", "Swifter", or "Swift".')
         return
@@ -92,14 +92,14 @@ def convert(self, param_file_name, newcodename="Swiftest", plname="pl.swiftest.i
         goodconversion = True
         if self.codename == "Swifter":
             if newcodename == "Swiftest":
-                self.param = swiftestio.swifter2swiftest(self.param, plname, tpname, cbname)
+                self.param = io.swifter2swiftest(self.param, plname, tpname, cbname)
             else:
                 goodconversion = False
         elif self.codename == "Swift":
             if newcodename == "Swifter":
-                self.param = swiftestio.swift2swifter(self.param, plname, tpname)
+                self.param = io.swift2swifter(self.param, plname, tpname)
             elif newcodename == "Swiftest":
-                self.param = swiftestio.swift2swiftest(self.param, plname, tpname, cbname)
+                self.param = io.swift2swiftest(self.param, plname, tpname, cbname)
             else:
                 goodconversion = False
 
@@ -111,9 +111,11 @@ def convert(self, param_file_name, newcodename="Swiftest", plname="pl.swiftest.i
     
     def bin2xr(self):
         if self.codename == "Swiftest":
-            self.ds = swiftestio.swiftest2xr(self.param)
+            self.ds = io.swiftest2xr(self.param)
+            print('Swiftest simulation data stored as xarray DataSet .ds')
         elif self.codename == "Swifter":
-            self.ds = swiftestio.swifter2xr(self.param)
+            self.ds = io.swifter2xr(self.param)
+            print('Swifter simulation data stored as xarray DataSet .ds')
         elif self.codename == "Swift":
             print("Reading Swift simulation data is not implemented yet")
         else: