diff --git a/Makefile.Defines b/Makefile.Defines
index 66657e7dc..b51a95a40 100644
--- a/Makefile.Defines
+++ b/Makefile.Defines
@@ -68,9 +68,8 @@ GPAR = -fopenmp -ftree-parallelize-loops=4
 GMEM = -fsanitize=undefined -fsanitize=address -fsanitize=leak 
 GWARNINGS = -Wall -Warray-bounds  -Wimplicit-interface -Wextra -Warray-temporaries
 
-#FFLAGS  = -init=snan,arrays -traceback -no-wrap-margin -O3 -g -CB -nogen-interfaces -no-pie -fp-speculation=safe $(SIMDVEC) $(PAR) #$(HEAPARR)
-FFLAGS  = $(IDEBUG) $(HEAPARR)
-#FFLAGS  = -init=snan,arrays -no-wrap-margin -fp-model strict -fp-model no-except -traceback -g $(OPTIMIZE) -O3  $(SIMDVEC) $(PAR) $(HEAPARR) 
+#FFLAGS  = $(IDEBUG) $(HEAPARR)
+FFLAGS  = -init=snan,arrays -no-wrap-margin -fp-model strict -fp-model no-except -traceback -g $(OPTIMIZE) -O3  $(SIMDVEC) $(PAR) $(HEAPARR) 
 FORTRAN = ifort
 #AR     = xiar
 
diff --git a/examples/rmvs_swifter_comparison/9pl_18tp_encounters/cb.swiftest.in b/examples/rmvs_swifter_comparison/9pl_18tp_encounters/cb.swiftest.in
index 2ce982a28..aa4a2fa2a 100644
--- a/examples/rmvs_swifter_comparison/9pl_18tp_encounters/cb.swiftest.in
+++ b/examples/rmvs_swifter_comparison/9pl_18tp_encounters/cb.swiftest.in
@@ -1,4 +1,4 @@
-0.00029591220819207776388
+0.00029591220819207775568
 0.0046504672609621575315
-4.7535806948127356533e-12
--2.2473967953572827815e-18
+4.753580694812735539e-12
+-2.2473967953572828617e-18
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 c1ddfc2bf..b98db89c9 100644
--- a/examples/rmvs_swifter_comparison/9pl_18tp_encounters/pl.swifter.in
+++ b/examples/rmvs_swifter_comparison/9pl_18tp_encounters/pl.swifter.in
@@ -1,24 +1,24 @@
 10
-1 0.00029591220819207776388
+1 0.00029591220819207775568
 0.0 0.0 0.0
 0.0 0.0 0.0
 2 4.9125474498983625e-11 0.0014751258227142052 ! mercury
 1.6306381826061646e-05
 0.008059842448018334 -0.4616051037329109 -0.03846017738329229
 0.02248719132054853 0.001934639213990692 -0.001904656977422976
-3 7.243452483873647e-10 0.006759134232034941 ! venus
+3 7.243452483873647e-10 0.006759134232034942 ! venus
 4.0453784346544176e-05
 -0.5115875215389065 0.5030818749037324 0.03642547299277956
 -0.01425515725454357 -0.01452868630179309 0.0006232072038298823
-4 8.997011382166019e-10 0.010044625087011915 ! earthmoon
+4 8.997011382166019e-10 0.010044625087011913 ! earthmoon
 4.25875607065041e-05
 -0.1090020607540907 -1.009893805009766 4.823302918632528e-05
 0.01682491922568941 -0.001910549762056979 3.992660742687128e-08
-5 9.549535102761465e-11 0.0072467897902424765 ! mars
+5 9.549535102761465e-11 0.007246789790242477 ! mars
 2.2657408050928896e-05
 -1.342897929331636 0.9778655112682739 0.05343398538723887
 -0.007712315645393206 -0.01011917844182223 -2.287744801261131e-05
-6 2.825345908631355e-07 0.3552720805286442 ! jupiter
+6 2.8253459086313547e-07 0.3552720805286442 ! jupiter
 0.0004673261703049093
 3.923184193414315 -3.168419770483168 -0.0746147877972047
 0.004655552638985802 0.006232623300954468 -0.0001300429201057457
@@ -30,7 +30,7 @@
 0.00016953449859497232
 14.9290976575471 12.92949673572929 -0.1454099139559955
 -0.002599557960646664 0.002795888198858545 4.391864857782088e-05
-9 1.5243589003230834e-08 0.78119478483336 ! neptune
+9 1.5243589003230834e-08 0.7811947848333599 ! neptune
 0.00016458790412449367
 29.54416169025338 -4.716921603714237 -0.5838030174427992
 0.0004792636209523189 0.00312573757291745 -7.53264045199501e-05
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 02a8f9bef..b93994014 100644
--- a/examples/rmvs_swifter_comparison/9pl_18tp_encounters/pl.swiftest.in
+++ b/examples/rmvs_swifter_comparison/9pl_18tp_encounters/pl.swiftest.in
@@ -15,7 +15,7 @@
 2.2657408050928896e-05
 -1.342897929331636 0.9778655112682739 0.05343398538723887
 -0.007712315645393206 -0.01011917844182223 -2.287744801261131e-05
-6 2.825345908631355e-07 ! jupiter
+6 2.8253459086313547e-07 ! jupiter
 0.0004673261703049093
 3.923184193414315 -3.168419770483168 -0.0746147877972047
 0.004655552638985802 0.006232623300954468 -0.0001300429201057457
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 ed3e55e8a..28aaaa618 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
@@ -7,6 +7,7 @@
    "outputs": [],
    "source": [
     "import numpy as np\n",
+    "import xarray as xr\n",
     "import swiftestio as swio\n",
     "import matplotlib.pyplot as plt"
    ]
@@ -69,7 +70,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "swiftdiff['rmag'] = np.sqrt(swiftdiff['px']**2 + swiftdiff['py']**2 + swiftdiff['pz']**2)\n",
+    "swiftdiff['vmag'] = np.sqrt(swiftdiff['vx']**2 + swiftdiff['vy']**2 + swiftdiff['vz']**2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plidx = swiftdiff.id.values[swiftdiff.id.values < 10]\n",
+    "tpidx = swiftdiff.id.values[swiftdiff.id.values > 10]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -426,167 +447,147 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;e&#x27; (time: 366)&gt;\n",
-       "array([0.99999245, 0.99999245, 0.99999245, 0.99999245, 0.99999245,\n",
-       "       0.99999245, 0.99999245, 0.99999245, 0.99999245, 0.99999245,\n",
-       "       0.99999245, 0.99999245, 0.99999245, 0.99999245, 0.99999245,\n",
-       "       0.99999245, 0.99999245, 0.99999246, 0.99999246, 0.99999246,\n",
-       "       0.99999246, 0.99999245, 0.99999245, 0.99999245, 0.99999245,\n",
-       "       0.99999245, 0.99999245, 0.99999245, 0.99999245, 0.99999245,\n",
-       "       0.99999245, 0.99999245, 0.99999245, 0.99999245, 0.99999245,\n",
-       "       0.99999245, 0.99999245, 0.99999245, 0.99999245, 0.99999246,\n",
-       "       0.99999246, 0.99999246, 0.99999246, 0.99999246, 0.99999246,\n",
-       "       0.99999246, 0.99999246, 0.99999246, 0.99999246, 0.99999246,\n",
-       "       0.99999246, 0.99999246, 0.99999246, 0.99999246, 0.99999246,\n",
-       "       0.99999246, 0.99999246, 0.99999247, 0.99999247, 0.99999247,\n",
-       "       0.99999247, 0.99999247, 0.99999247, 0.99999247, 0.99999248,\n",
-       "       0.99999249, 0.99999264, 0.9999928 , 0.99999281, 0.99999282,\n",
-       "       0.99999282, 0.99999283, 0.99999283, 0.99999283, 0.99999283,\n",
-       "       0.99999283, 0.99999283, 0.99999283, 0.99999283, 0.99999283,\n",
-       "       0.99999283, 0.99999283, 0.99999283, 0.99999284, 0.99999284,\n",
-       "       0.99999284, 0.99999284, 0.99999284, 0.99999284, 0.99999284,\n",
-       "       0.99999284, 0.99999284, 0.99999284, 0.99999284, 0.99999284,\n",
-       "       0.99999284, 0.99999284, 0.99999284, 0.99999284, 0.99999284,\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",
+       "       -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",
        "...\n",
-       "       0.99999318, 0.99999318, 0.99999318, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.9999932 , 0.99999319, 0.99999319, 0.9999932 ,\n",
-       "       0.9999932 , 0.9999932 , 0.99999321, 0.99999321, 0.99999321,\n",
-       "       0.99999321, 0.99999322, 0.99999322, 0.99999322, 0.99999322,\n",
-       "       0.99999322, 0.99999322, 0.99999322, 0.99999322, 0.99999322,\n",
-       "       0.99999322])\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",
        "Coordinates:\n",
-       "    id       int64 3\n",
-       "  * time     (time) float64 0.0 0.002738 0.005476 ... 0.9938 0.9966 0.9993</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'e'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 366</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f4414199-af73-4616-8a8c-193ad0e2113d' class='xr-array-in' type='checkbox' checked><label for='section-f4414199-af73-4616-8a8c-193ad0e2113d' 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>1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0</span></div><div class='xr-array-data'><pre>array([0.99999245, 0.99999245, 0.99999245, 0.99999245, 0.99999245,\n",
-       "       0.99999245, 0.99999245, 0.99999245, 0.99999245, 0.99999245,\n",
-       "       0.99999245, 0.99999245, 0.99999245, 0.99999245, 0.99999245,\n",
-       "       0.99999245, 0.99999245, 0.99999246, 0.99999246, 0.99999246,\n",
-       "       0.99999246, 0.99999245, 0.99999245, 0.99999245, 0.99999245,\n",
-       "       0.99999245, 0.99999245, 0.99999245, 0.99999245, 0.99999245,\n",
-       "       0.99999245, 0.99999245, 0.99999245, 0.99999245, 0.99999245,\n",
-       "       0.99999245, 0.99999245, 0.99999245, 0.99999245, 0.99999246,\n",
-       "       0.99999246, 0.99999246, 0.99999246, 0.99999246, 0.99999246,\n",
-       "       0.99999246, 0.99999246, 0.99999246, 0.99999246, 0.99999246,\n",
-       "       0.99999246, 0.99999246, 0.99999246, 0.99999246, 0.99999246,\n",
-       "       0.99999246, 0.99999246, 0.99999247, 0.99999247, 0.99999247,\n",
-       "       0.99999247, 0.99999247, 0.99999247, 0.99999247, 0.99999248,\n",
-       "       0.99999249, 0.99999264, 0.9999928 , 0.99999281, 0.99999282,\n",
-       "       0.99999282, 0.99999283, 0.99999283, 0.99999283, 0.99999283,\n",
-       "       0.99999283, 0.99999283, 0.99999283, 0.99999283, 0.99999283,\n",
-       "       0.99999283, 0.99999283, 0.99999283, 0.99999284, 0.99999284,\n",
-       "       0.99999284, 0.99999284, 0.99999284, 0.99999284, 0.99999284,\n",
-       "       0.99999284, 0.99999284, 0.99999284, 0.99999284, 0.99999284,\n",
-       "       0.99999284, 0.99999284, 0.99999284, 0.99999284, 0.99999284,\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",
        "...\n",
-       "       0.99999318, 0.99999318, 0.99999318, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.9999932 , 0.99999319, 0.99999319, 0.9999932 ,\n",
-       "       0.9999932 , 0.9999932 , 0.99999321, 0.99999321, 0.99999321,\n",
-       "       0.99999321, 0.99999322, 0.99999322, 0.99999322, 0.99999322,\n",
-       "       0.99999322, 0.99999322, 0.99999322, 0.99999322, 0.99999322,\n",
-       "       0.99999322])</pre></div></div></li><li class='xr-section-item'><input id='section-dab6d1ae-3ff2-460e-86e7-5871178b8663' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dab6d1ae-3ff2-460e-86e7-5871178b8663' 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'>3</div><input id='attrs-8efb12c3-6a2b-4785-93d7-01c57721f24a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8efb12c3-6a2b-4785-93d7-01c57721f24a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-445ce0a5-3943-4cd7-adfb-016aab10a48a' class='xr-var-data-in' type='checkbox'><label for='data-445ce0a5-3943-4cd7-adfb-016aab10a48a' 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(3)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.002738 ... 0.9966 0.9993</div><input id='attrs-aeb30f0e-10c1-428b-80e5-f79c4e47d03c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-aeb30f0e-10c1-428b-80e5-f79c4e47d03c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf1a0299-c559-4c14-ab53-312213762954' class='xr-var-data-in' type='checkbox'><label for='data-bf1a0299-c559-4c14-ab53-312213762954' 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.      , 0.002738, 0.005476, ..., 0.99384 , 0.996578, 0.999316])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-99a63aec-93b8-471f-a601-43bf3476e5d6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-99a63aec-93b8-471f-a601-43bf3476e5d6' 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>"
+       "       -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>"
       ],
       "text/plain": [
-       "<xarray.DataArray 'e' (time: 366)>\n",
-       "array([0.99999245, 0.99999245, 0.99999245, 0.99999245, 0.99999245,\n",
-       "       0.99999245, 0.99999245, 0.99999245, 0.99999245, 0.99999245,\n",
-       "       0.99999245, 0.99999245, 0.99999245, 0.99999245, 0.99999245,\n",
-       "       0.99999245, 0.99999245, 0.99999246, 0.99999246, 0.99999246,\n",
-       "       0.99999246, 0.99999245, 0.99999245, 0.99999245, 0.99999245,\n",
-       "       0.99999245, 0.99999245, 0.99999245, 0.99999245, 0.99999245,\n",
-       "       0.99999245, 0.99999245, 0.99999245, 0.99999245, 0.99999245,\n",
-       "       0.99999245, 0.99999245, 0.99999245, 0.99999245, 0.99999246,\n",
-       "       0.99999246, 0.99999246, 0.99999246, 0.99999246, 0.99999246,\n",
-       "       0.99999246, 0.99999246, 0.99999246, 0.99999246, 0.99999246,\n",
-       "       0.99999246, 0.99999246, 0.99999246, 0.99999246, 0.99999246,\n",
-       "       0.99999246, 0.99999246, 0.99999247, 0.99999247, 0.99999247,\n",
-       "       0.99999247, 0.99999247, 0.99999247, 0.99999247, 0.99999248,\n",
-       "       0.99999249, 0.99999264, 0.9999928 , 0.99999281, 0.99999282,\n",
-       "       0.99999282, 0.99999283, 0.99999283, 0.99999283, 0.99999283,\n",
-       "       0.99999283, 0.99999283, 0.99999283, 0.99999283, 0.99999283,\n",
-       "       0.99999283, 0.99999283, 0.99999283, 0.99999284, 0.99999284,\n",
-       "       0.99999284, 0.99999284, 0.99999284, 0.99999284, 0.99999284,\n",
-       "       0.99999284, 0.99999284, 0.99999284, 0.99999284, 0.99999284,\n",
-       "       0.99999284, 0.99999284, 0.99999284, 0.99999284, 0.99999284,\n",
+       "<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",
        "...\n",
-       "       0.99999318, 0.99999318, 0.99999318, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.99999319, 0.99999319, 0.99999319, 0.99999319,\n",
-       "       0.99999319, 0.9999932 , 0.99999319, 0.99999319, 0.9999932 ,\n",
-       "       0.9999932 , 0.9999932 , 0.99999321, 0.99999321, 0.99999321,\n",
-       "       0.99999321, 0.99999322, 0.99999322, 0.99999322, 0.99999322,\n",
-       "       0.99999322, 0.99999322, 0.99999322, 0.99999322, 0.99999322,\n",
-       "       0.99999322])\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",
        "Coordinates:\n",
-       "    id       int64 3\n",
-       "  * time     (time) float64 0.0 0.002738 0.005476 ... 0.9938 0.9966 0.9993"
+       "    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": 25,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "swiftestdat['e'].sel(id=3)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "swiftdiff['rmag'] = np.sqrt(swiftdiff['px']**2 + swiftdiff['py']**2 + swiftdiff['pz']**2)\n",
-    "swiftdiff['vmag'] = np.sqrt(swiftdiff['vx']**2 + swiftdiff['vy']**2 + swiftdiff['vz']**2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "plidx = swiftdiff.id.values[swiftdiff.id.values < 10]\n",
-    "tpidx = swiftdiff.id.values[swiftdiff.id.values > 10]"
+    "swiftdiff['px'].sel(id=4)"
    ]
   },
   {
@@ -596,7 +597,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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ud69OOgPIUNVkX8VYnoULF3LVVVcRHBxM27ZtGTeuUlMCG2N8bNWeI7z6wy6uPSOGMV3L7k1o2TCCByf2ZNWeI7y3Yq+PIzx97y7bS3hIEBf2O6mX3WP8Po5BRG4Tkdvch7OAnTiTn78C/NpvgZVil5YaE/j++c1WmtUP50/n96hwvckDoxnRqRlPzt5Cek6+j6I7ffvTc/l4VRKTB7WjUT3vVUzwS2JQ1QWqeoF7/0VVfdG9r6p6h6p2UtU+qhoQ9bRHjx7NjBkzKCoqIjk5mfnz5/s7JGNMKT/uSOPHnWncPrYT9cMrLuogIjw8qRdZeYW8+P1OH0V4+l5YsANFueMs70437/cWQ01w8cUX06VLF/r06cPtt9/OmDFj/B2SMaaU/3y3jZYNwrlmWEyl1u/WugEX9Y/mjSW7SMkM/AoE+9NzeX9FIpcPbk9040iv7qtW1krylKysLMD5dvHcc8/5ORpjTHk27c9g+a7D/HliDyJCgyv9ut+f04Uv1u1n+vwEHr2wtxcjPH3HWwu/9nJrAazFYIypBWYsTyQsJIhLB7Wr0us6NKvP5IHtmLEikUNZeV6K7vQdby1c5oPWAlhiMMbUcLn5RXy2dh8Teremcb2wKr9+6piO5BcV8+aS3Z4PzkN+ai2M7eST/VliMMbUaLM2JHP0WCFXDq3cuYXSOrWI4hc9W/Pmkt1kBWAtpZKthXZN6vlkn5YYjDE12owVe4lrXp9hcU2rvY3bxnYi81ghM5YH3rgGX7cWwBKDMaYGS0g5yordR7hiyOmNAu7fvjFndGzKq4t2kV9YXik330vOcFoLlw7yXWsBLDEYY2qwGcsTCQkSJg+s2knnstw+tjMHMo/x2dp9HojMM15YsINiVe44y3etBbDE4DWJiYmcddZZ9OjRg169ejFt2jR/h2RMrZJXWMQna/Zxbs9WtGgQftrbG92lOT3bNOSl73cERA2l5IxcZiz37bmF4ywxeElISAj/+te/iI+PZ+nSpUyfPp3Nmzf7Oyxjao05mw9yODu/2iedSxMRbh3TkR2p2cyJ9/+cDU/P2e6OcvZtawEsMXhNmzZtGDjQmZm0QYMG9OjRg337AqeJakxNN2N5ItGNIxnVubnHtjmxTxvaN43k+QU7UPVfq2FDUgYfrErkpjPjfN5agDow8vnRLzaxeX+mR7fZs21DHp7Uq9Lr7969mzVr1jBs2DCPxmFMXbU3LYcfEg5x1zldCQryXIHLkOAg7hjbmfs/2cCczQc5r1drj227slSVR7/YRLP6Ydw5zvujnMtiLQYvy8rKYvLkyTz99NM0bOidSTWMqWs+WJlIkMDlQ07/pHNplw5qR1zz+jz93Xa/tBreX5HIyj1H+OMvutEwwnsVVCtS61sMVflm72kFBQVMnjyZa665hksuucRvcRhTmxQWFfPhqkTGdmtJm0aeLw8REhzE7WM7ce9H61mwLZWzurX0+D7Ksz89l//7Kp7hHZtx2SDvTNtZGdZi8BJVZcqUKfTo0YM//OEP/g7HmFpj/tZUDmbmceUQ731wXtQ/mjaNInhh/g6v7aM0VeVPn2ygqFj5++S+Hu0iqypfzvkcISLLRWSdiGwSkUfLWGesiGSIyFr39pCv4vO0xYsX8/bbbzNv3jz69+9P//79mTVrlr/DMqbGm7F8Ly0ahHNWd+99kw8LCWLq6I4s332YpTvTvLafkj5clcT321K5b3w3Ypr5/oRzSb7sSsoDxqlqloiEAj+IyGxVXVpqvUXHJ/GpyUaOHOnXqxqMqY0OZBxj/tYUbhvTidBg736vvXJIDK8s3MljX2zmi9+MJNiL3+C3HMjk4c83MSyuKdcPj/XafirLl3M+q6pmuQ9D3Zt9chpjKu3DlYkUK1zhxW6k4yLDgnlgYg82J2cyw4tzQ2fkFnDb26toEBHCs1cP8GsX0nE+PccgIsEishZIAeao6rIyVhvudjfNFhH/nTk2xgSU4mLl/ZWJnNm5GR2a1ffJPif2acMZHZvyj2+2emWWt2MFRdzy1kr2pecy/ZqBtGwQ4fF9VIdPE4OqFqlqf6AdMFRESk+ZtBrooKr9gGeBz8rajohMFZGVIrIyNTXVmyEbYwLEDwmHSDqSy5VDPDPSuTJEhP+7qA/HCoq4+8N1Hi2VUVSs/H7GWpbvOsy/Lu/PkNjqV4f1NL9claSq6cACYHyp5zOPdzep6iwgVEROGtaoqi+r6mBVHdyiRQsfRGyM8bcZK/bSpF4o5/Vq5dP9dm4ZxV8u6Mmi7Yf47w+7PLJNVeWhzzfy9aYD/OWCnvyyX1uPbNdTfHlVUgsRaezejwTOAbaUWqe1uLVzRWSoG59vLgkwxgSsQ1l5zNl8kEsGtiM8pPJzOnvK1UNjGN+rNU/Mjuf7baffS/HM3ATeXbaXW8d0ZMrIOA9E6Fm+bDG0AeaLyHpgBc45hi9F5DYRuc1d51Jgo4isA54BrlS7tMeYOu+T1UkUFClXDfXPoC8R4V+X96Nb64bc+e5qNu7LqNZ2VJXp8xP4z3fbuGRgNPeP7+7hSD3DZ5erqup6YEAZz79Y4v5zwHO+ismbjh07xujRo8nLy6OwsJBLL72URx89aeiGMeYUVJUZKxIZ3KEJnVs28Fsc9cNDePWGwVz2whKufHkpL147iJFdKl/ALz0nnz99soHZGw8wqV9b/j6572lNLuRNNvLZS8LDw5k3bx7r1q1j7dq1fP311yxdWnrIhjHmVFbvPcLO1GyfXKJ6KtGNI/nk12fSrkkkN76+nLd/3F2p8UrfbDrAuf9ZyLebD/LAhO48c2V/r4/DOB2BG1kNJyJERUUBTs2kgoKCgP12YEwg+2JdMuEhQYzv7ftKp2Vp3SiCD24bzuiuLfjL55u48701bNyXUWaCSM7I5c7/rebWt1fRPCqcz+84k6mjOwX8Z0GtL6LH7PvhwAbPbrN1Hzj/yVOuVlRUxKBBg0hISOCOO+6wstvGVFFRsfLl+mTGdW9JAz9VGi1Lw4hQXr1+MNPnJzB9QQJfrU9mbLcWnNOjFc2jwknOyGXpzjS+i08hSODuc7ty21jvj9b2lNqfGPwoODiYtWvXkp6ezsUXX8zGjRvp3bv00A1jTHmW7UzjUFYekwLsck6AoCDhN2d34dozOvD+ykRe/H4HC7b+fMVSq4bh/OrMWK4fHkv7pv6tfVRVtT8xVOKbvbc1btyYsWPH8vXXX1tiMKYKvli/n/phwT4tfV1VTeqHcduYTkwd1ZGDR4+RkplHk3phfi+EdzpqRrumBkpNTSU9PR2A3NxcvvvuO7p3D8xL04wJRMcKipi14QDn9mxFZJjvxy5UVVCQ0KZRJP3aN67RSQHqQovBT5KTk7nhhhsoKiqiuLiYyy+/nAsuqPFFY43xmbnxKWTkFnDJQM/P0mYqZonBS/r27cuaNWv8HYYxNdbHq5No3TCCMztXfqyA8QzrSjLGBJyUo8f4flsqlwyM9uo8CKZslhiMMQHn8zX7KSpWJg+ybiR/sMRgjAkoqspHq5IYENOYTi2i/B1OnWSJwRgTUDbuy2TrwaNcaq0Fv7HEYIwJKB+vTiIsJIgL+gbeoLa6whKDMSZg5BcW8/nafZzXsxWNIgOnBEZdY4nBy4qKihgwYICNYTCmEr6LP8iRnALrRvIzSwxeNm3aNHr06OHvMIypEd5bvpfoxpGM6mJT9vqTL6f2jBCR5SKyTkQ2ichJs9aI4xkRSRCR9SIy0FfxeUNSUhJfffUVN998s79DMSbg7U3LYdH2Q1w+uL2NXfAzX458zgPGqWqWiIQCP4jIbFUtOXvN+UAX9zYMeMH9WW1/X/53thzecuoVq6B70+7cN/S+U673+9//nqeeeoqjR496dP/G1EYzVuwlSODyIdaN5G8+azGoI8t9GOreSs9scSHwlrvuUqCxiLTxVYye9OWXX9KyZUsGDRrk71CMCXgFRcV8uCqJs7q1pE2jSH+HU+f5tFaSiAQDq4DOwHRVXVZqlWggscTjJPe55FLbmQpMBYiJialwn5X5Zu8NixcvZubMmcyaNYtjx46RmZnJtddeyzvvvOOXeIwJZHPjD5J6NI+rhlb8/2x8w6cnn1W1SFX7A+2AoSJSenKCsjoWT5ovT1VfVtXBqjq4RYvAPEn1xBNPkJSUxO7du5kxYwbjxo2zpGBMOd5dtpc2jSIY2y0w/5/rGr9claSq6cACYHypRUlAyRm/2wH7fROVMcYfjp90vmJIe0JqyNSXtZ0vr0pqISKN3fuRwDlA6bPCM4Hr3auTzgAyVDWZGm7s2LF8+eWX/g7DmIB0/KTzFUPan3pl4xO+PMfQBnjTPc8QBHygql+KyG0AqvoiMAuYACQAOcBNPozPGONjBUXFfLAyiXHd7aRzIPFZYlDV9cCAMp5/scR9Be7wVUzGGP+as/kgh7LyuHqYnXQOJNahZ4zxm/8t20vbRhGM6drS36GYEiwxGGP8Yk9aNj8kHOKKITE20jnAWGIwxvjFe8sTCQ4SO+kcgCwxGGN8Lr+wmI9WJTKue0taN4rwdzimFJ+OfK5rYmNjadCgAcHBwYSEhLBy5Up/h2RMQJi1IZlDWflce0YHf4diynDKxCAilb1cIF1VM08znlpn/vz5NG/e3N9hGBNQXl+ym47N6zOqs/1vBKLKtBjexClLUdHZIQXeAN7yQEzGmFpsbWI66xLTeWRST4LspHNAOmViUNWzSj8nIq1V9YB3QvKsA3/7G3nxni27Hd6jO60feOCU64kI5513HiLCrbfeytSpUz0ahzE10ZtLdhMVHsJkm6UtYFX3HMP1wFOeDKQ2Wrx4MW3btiUlJYVzzz2X7t27M3r0aH+HZYzfpB7N48v1+7lmWAcaRNiczoGquonhQhHJAeao6lZPBuRplflm7y1t27YFoGXLllx88cUsX77cEoOp095bvpeCIuX64XbSOZBV93LVS3DqGV0sIq96MJ5aIzs7+6eZ27Kzs/n222/p3bt0lXFj6o78wmLeWbqHMV1b0LFFlL/DMRWoVotBVQ8CX7s3U4aDBw9y8cUXA1BYWMjVV1/N+PGlq4wbU3d8vekAKUfz+PvkWH+HYk6hWolBRKYD9VX1RhE5T1W/9XBcNV7Hjh1Zt26dv8MwJmC8uWQ3sc3qMaarTcYT6KrblZQP7HTvj/NQLMaYWmpdYjqr9hzhuuGxdolqDVDdxJADNBKRUMDq5RpjKvTc/AQaRYZaXaQaorqJ4TCwA5gOLPZcOMaY2mbLgUzmbD7IjSNiiQq3Kjw1QZUSg4g0FpHXgcnuU28Bgyv52vYiMl9E4kVkk4j8rox1xopIhoisdW8PVSU+Y0zgeWHBDuqHBXPTmbH+DsVUUpXSt6qmi8iTQCxwCOgLfFLJlxcCd6vqahFpAKwSkTmqurnUeotU9YKqxGWMCUy7D2Xzxbr93DKqI43rhfk7HFNJ1WnXTQF2qeo3wKrKvkhVk4Fk9/5REYkHooHSicEYU4Gc/EI27sukoKiYFg3C6dqqgb9DKteL3+8gJDiIKSPj/B2KqYLqJIYjwG0i0g1YB6xV1TVV2YCIxOLM/7ysjMXDRWQdsB+4R1U3lfH6qcBUgJiYwD33nZ6ezs0338zGjRsREV577TWGDx/u77BMDVVUrLz4/Q6mz08gJ7/op+cHxjTmoUm96N++sf+CK8P+9Fw+Xp3ElUNiaNnQ5lyoSaqcGFT1CRGZC2wD+gOjgUonBhGJAj4Gfl9Gme7VQAdVzRKRCcBnQJcyYngZeBlg8ODBWtX34Cu/+93vGD9+PB999BH5+fnk5OT4OyRTQxUWFfPbGWuYteEA43u15vIh7agfFkJ8ciYvfL+DyS8s4clL+nDZ4MC56ueFBTtQhVvHdPR3KKaKqpwYROQxIBhYi9NaWFCF14biJIV3VfWkcxMlE4WqzhKR50Wkuaoeqmqc/paZmcnChQt54403AAgLCyMszPpYTdWpKg9+upFZGw7wwITu3DKqIyLOWIBhHZtx8cB23PHuau77eD0NIkIZ37u1nyN2zi28t3wvVwxpT7sm9fwdjqmi6rQYHhKRVjhdQZNFpJOq3nKq14nzl/xfIF5V/13OOq2Bg6qqIjIU56qptKrGWNKiD7ZxKDHrdDZxkubtoxh1edcK19m5cyctWrTgpptuYt26dQwaNIhp06ZRv359j8Ziar+/f72V91cm8ttxnZk6utNJyxtFhvLy9YO45tVl/Pa9NXxw23C/dyv9e842QoOD+N3ZJzX4TQ1Q3XEMtwJrVPXJyiQF15nAdcC4EpejThCR20TkNnedS4GN7jmGZ4ArVTVgu4oqUlhYyOrVq7n99ttZs2YN9evX58knn/R3WKaG+WzNPl78fgfXDIvhrnPL/zJSLyyE124YQosG4dzx7mqOZOf7MMoTbdyXwcx1+/nVyFg7t1BDVXe0yWvA7SJSH6dbaO2pXqCqP1DxLHCo6nPAc9WMqUyn+mbvLe3ataNdu3YMGzYMgEsvvdQSg6mSpCM5/OWzjQzu0ITHLuz9U/dReZrUD+OFawdy6Qs/cs+H63j1hsGnfI03PPXNVhrXC+XWMSe3bkzNUN0Ww29xkkoIzjd7U0rr1q1p3749W7c601XMnTuXnj17+jkqU1MUFSt3f7AOBf5zRX+CK1lfqG+7xtx3fnfmbknh87X7vRtkGZbsOMTCbancMbYzDW0inhqruolhBxABfK6qNvNMOZ599lmuueYa+vbty9q1a3nAj5MGmZrllUU7WbbrMA9P6kn7plU7eXvjiFj6t2/Mo19sIi0rz0sRnkxV+fvXW2nbKILrbCKeGq26iWETMA+YIiIrPBhPrdK/f39WrlzJ+vXr+eyzz2jSpIm/QzI1wOb9mfzr262c37s1l1ZjXuTgIOGpS/uSlVfIo1/4bvzo1xsPsC4xnd+f25WI0GCf7dd4XnUTQ1ecS1ZfBm7yXDjG1G2qyp8/20CjyDD+dnGfap8j6NqqAXee1YWZ6/Yzf2uKh6M8WU5+IY/PiqdLyygmD6x6MjOBpbqJoTvOoLZ7cEcgG2NO3+yNB1i9N517zutKk/qnN+7l9rGd6Ni8Po99sZn8wmIPRVi2f3+7jaQjuTx+cZ9Knw8xgau6iaExcB9wL3DMY9EYU4flFxbz96+30K1VA4+MYA4LCeIvk3qy61A2ry/e5YEIy7Y+KZ3XFu/immExDI1r6rX9GN+pbmJ4DOfE81bAu19FjKkj3l22hz1pOdw/obvHvnWf1a0lZ3dvybS529l1KNsj2yypoKiY+z7eQIsG4dx3fnePb9/4R6USg4gEi0iyiNwMoKpJqvqde/9+bwZoTF2QkVvAtLnbObNzM8Z6eE7kv17U2xmFPGONx7uU/vntVuKTM3nswt52eWotUqnEoKpFwEbARqwY4wXPL0ggI7eAByb08PigtLaNI/n75D6sT8rgX3O2emy787em8NL3O7l6WAy/6OX/+kzGc6rSlVQPuFdEVorITPf2ubcCq+m2bt1K//79f7o1bNiQp59+2t9hmQCUdCSH1xfv5uIB0fRq28gr+xjfuw1XD4vhpe938sP2069JeSDjGHd/sI7urRvw0AU2cLO2qUpJjOMTCQx0bwA1so6RL3Tr1o21a9cCUFRURHR0NBdffLF/gzIB6Z/fbEWAe87r5tX9/GViT1bsOsxdH6xl9u9G0TwqvFrbyc0v4vZ3V3GsoIjnrh5oYxZqoaq0GOLKuFmh9UqYO3cunTp1okMHGw1qTrQhKYPP1u5nysg42jaO9Oq+IsOCefbqAWTmFnD3B+soKq7697qMnAJufH05axPT+ffl/ejcMsoLkRp/q3SLQVX3eDMQb5n/xsuk7Nnp0W227NCRs26s/PCNGTNmcNVVV3k0BlM7PP3dNprUC+W2sb45fde9dUMemtSTBz/dyO3vrOKZqwZU+hv/usR0/vDBWhIP5/L0Ff0Z37uNl6M1/lLdy1VNJeXn5zNz5kwuu+wyf4diAsy2g0eZuyWFG0fE+fSKnmuGdeDRX/ZiTvxBrn11Gek5FZfoLipWnv5uGxc/v5jMY4W8NWUoF/aP9lG0xh+qW3a7xqjKN3tvmD17NgMHDqRVq1Z+jcMEnpcX7iQyNJjr/VBw7oYRsTSPCueu99cy/ulF/N9FvTmn58l/o3vTcvjjR+tYtuswFw+I5rELe9HALkut9aozteckVf2iGq9rD7wFtMYZFPeyqk4rtY4A04AJQA5wo6quruq+Asl7771n3UjmJMkZuXy+dh/XDOtw2qUvqmti3za0axLJvR+t5+a3VtKvfWPO6taCPtGNOJiZx6LtqXyz6QDhIcH887J+1SroZ2qm6rQYHgeqnBiAQuBuVV0tIg2AVSIyR1VLln88H+ji3oYBL7g/a6ScnBzmzJnDSy+95O9QTIB5ffFuihWmjIzzaxz92jfmi9+M5L3le/lwVSLT5m7n+JyJTeuHccvojvzqzDha2UxsdUp1EkO1Rt+oajKQ7N4/KiLxQDRQMjFcCLzlTue5VEQai0gb97U1Tr169UhLO60pq00tlHmsgP8t28vEPm2qPNeCN4SFBHHDiFhuGBFLRk4BOw9l0aReGB2a1fPLDHDG/6qTGE577IKIxAIDgGWlFkUDiSUeJ7nPnZAYRGQqblXXmJiY0w3HGJ/637K9ZOUVMnV04F3t3aheKANibN6Qus7nVyWJSBTwMfB7Vc0svbiMl5yUiFT1ZVUdrKqDW7TwbF0ZY7wpr7CI137YxcjOzekd7Z1RzsacLp8mBhEJxUkK76rqJ2WskgSUrDfcDvD9xLXGeMnna/aTcjSPW8cEXmvBmOOqkxgOVmdH7hVH/wXiVfXf5aw2E7heHGcAGTX1/IIxpRUXKy8t3EHPNg0Z2bm5v8MxplxVPsegqudWc19nAtcBG0RkrfvcA0CMu90XgVk4l6om4FyuatOGmlpj7pYUdqRmM+3K/nZS1wQ0nw1wU9UfOMUVTe7VSHf4JiJjfOul73cQ3TiSiX2slIQJbFYSw4v+85//0KtXL3r37s1VV13FsWM2C2pdtWrPYVbuOcIto+IICbZ/OxPYqvUXKiJ/KHHfu7WCa6h9+/bxzDPPsHLlSjZu3EhRUREzZszwd1jGT176fieN64Vy+ZDTn8vZGG+rUleSiDQG/gN0F5FjwHpgCnYuoEyFhYXk5uYSGhpKTk4Obdu29XdIxg8SUrKYE3+Q34zrQr2wWl+ezNQCVforVdV04CYRmQgcAM4DyrrsNGCkf7GD/P2enQQ9rG19Gk+quExydHQ099xzDzExMURGRnLeeedx3nnneTQOUzO8umgnYcFB3OCHYnnGVEd1OzvH4Fy2egZQ3auUarUjR47w+eefs2vXLvbv3092djbvvPOOv8MyPnYg4xifrN7HZYPb0ayaM6YZ42vVbdc2Bu4D7sXpSgpYp/pm7y3fffcdcXFxHB+Zfckll7BkyRKuvfZav8Rj/OP5BQkUq3LraP/8HRpTHdVtMTwGfK6qW3FKaJtSYmJiWLp0KTk5Oagqc+fOpUePHv4Oy/jQ/vRcZixP5LLB7QKiWJ4xlVWtFoOqJuGUr0BV7/doRLXEsGHDuPTSSxk4cCAhISEMGDCAqVP9O2mQ8a0XFuxAUe44q7O/QzGmSqqVGERkOlBfVW8UkfNU9VsPx1UrPProozz66KP+DsP4wf70XN5fkchlg9vTrom1FkzNUt2upHxgp3t/nIdiMabWmD4/wVoLpsaqbmLIARq51VJtQgRjSkg6ksMHKxO5fHB7ohtH+jscY6qsulclHQZygenAYs+FY0zNN33+DgSx1oKpsarUYnCn2nwdmOw+9RYw2ONRGVNDJR3J4cOViVwxpD1trbVgaqgqj3wWkSeBWOAQ0JcAH/lsjC9Nn59AkAi/PsvGLZiaqzpdSVOAXar6DbDKw/EYU2MlHs7hw5VJXD0shjaNrLVgaq7qnHw+AtwmIk+LyE0iMsDTQdUW06ZNo3fv3vTq1Yunn37a3+EYL3tuXgJBQcKvx9q5BVOzVTkxqOoTwC3AI8AuYHRlXicir4lIiohsLGf5WBHJEJG17u2hqsYWSDZu3Mgrr7zC8uXLWbduHV9++SXbt2/3d1jGS/am5fDR6iSuHhpD60YR/g7HmNNS5cQgIo8BF+IUz9unqtMq+dI3gPGnWGeRqvZ3b49VNbZAEh8fzxlnnEG9evUICQlhzJgxfPrpp/4Oy3jJM/O2Exwk3D7Wzi2Ymq86cz4/5H6bDwImi0gnVb2lEq9bKCKx1YjxtMyePZsDBw54dJutW7fm/PPPr3Cd3r178+CDD5KWlkZkZCSzZs1i8GC7gKs22rQ/g49XJzHlzDhaNbTWgqn5qjuO4TXgZqA+8LznwmG4iKwD9gP3qOqmslYSkanAVHCK1QWiHj16cN9993HuuecSFRVFv379CAmxSVpqG1Xl8a/iaRwZym/GdfF3OMZ4RHU/qX6LUxYjBJhGJc8znMJqoIOqZonIBOAzoMz/NFV9GXgZYPDgwVrRRk/1zd6bpkyZwpQpTlXyBx54gHbt2vktFuMdc+NTWLIjjUd/2YtG9UL9HY4xHlHdkhg7gAic0tueSAqoaqaqZrn3ZwGhItLcE9v2l5SUFAD27t3LJ598wlVXXeXniIwn5RcW87dZ8XRqUZ+rhwVmy9WY6qhui2ETkAhMEZF/qOqQ0w1ERFoDB1VVRWQoTtJKO93t+tPkyZNJS0sjNDSU6dOn06RJE3+HZDzo3WV72Hkom9dvHEJocHW/YxkTeKqbGDrhjGd42f15SiLyHjAWaC4iScDDQCiAqr4IXArcLiKFOHWYrlTVCruJAt2iRYv8HYLxkiPZ+Tz93XZGdWnO2G4t/B2OMR5V3cSQqKrzRKQNkFKZF6hqhf0oqvoc8Fw14zHGp576ZitZeYX85YKeiIi/wzHGo6rb/h0vIu2AF4H/eDAeYwLe2sR0ZqzYy6/OjKVrqwb+DscYj6tuYmgM3AfcC+R5LBoPqgm9UDUhRnOiwqJiHvx0Ay2iwvndOV39HY4xXlHdxPAYzhVJW4EiD8bjEREREaSlpQX0B6+qkpaWRkSEDYiqSf77wy427c/kkV/2IircxqWY2qlSf9kiEgwkAX9R1VdVNcl9jKre78X4qqVdu3YkJSWRmprq71AqFBERYWMbapDdh7L595xtnNezFef3bu3vcIzxmkolBlUtcovf1YhCMKGhocTFxfk7DFOLqCp/+mQDYcFB/PWi3nbC2dRqVWkL1wPuFZFzcUpWAKiqXuj5sIwJLB+sTOTHnWn87eI+Vg/J1HpVSQzD3Z8D3RtA4HbiG+Mhe9KyefyreIbFNeXKIe39HY4xXleVxGB9M6bOyTxWwJQ3VxIUJPzj0n4EBVkXkgkcquqVbs1TJgYROV4EpszWQYnl6aqa6anAjPE3VeWuGWvZfSibt6cMI6ZZPX+HZOq43MJcftj3A3N2z2H9ofVM7jKZW/qectaDKqtMi+FNnKRQUVpSnIl43vJATMYEhLd+3MPcLSk8PKknwzs183c4pg7KK8pjyb4lzE+cz4/JP5KWm0ZBcQFNI5oytPVQ4hp5pyPnlIlBVc/yyp6NCWAbkjJ4fFY8Z3VrwY0jYv0djqlj8ovy+WT7J7yy/hVSclOICo1iRNsRREdFc2b0mQxqNYiQIO+No7EROsaUsnFfBle9spTm9cN46tJ+dmmq8ZkD2Qd4fePrfLfnO1JyUxjYciAPj3iY4W2GExrsu/k+LDEYU8KO1CxufnMlDSNC+Oj2EbRoEO7vkEwdsDR5KZ9s/4S5e+aiKCOjR/LXbn9leNvhfvliYonBGNfetByueOlHVOGdm4fRtnGkv0MytZSqsj97P59s/4RVB1ex6uAqmkY0ZVKnSdzS9xaio6L9Gp8lBmOArQeO8qs3VlBYrHx02wg6t4zyd0imFiooKmB+4nxe2fAKWw5vIViCiW0Yyz2D7+HK7lcSHhwYLVRLDCZg5RcWsz4pnc3JmWTkFNAgIoQ+7RrRv30Tgj04nmDVnsPc+NoKIsOCeWfKMEsKxuPi0+L5ePvHzNo1i6P5R4ltGMt9Q+5jdLvRxDQMvGlhfZYYROQ14AIgRVV7l7FcgGnABCAHuFFVV/sqPhM4MnIK+O8PO3l98W6O5hWetDy2WT2mju7EJQOjiQgNPq197UjN4ta3V9EsKoz/3XKGdR8Zj1BVEtITWHlwJZ9u/5T4w/GEB4dzTodzGB87nlHRowgOOr2/XW/yZYvhDZwZ2sob63A+0MW9DQNecH+aOuR/y/byxOx4jh4r5PzerbmwfzQDYhrTtH4YaVn5LNuVxquLdvHApxt4dt52/jShB5P6tqnyCbriYmXGikSemB1PWHAQr94w2JKCOW2Hcg/x0baP+GrnV+zO3A1A1yZd+dPQPzGx40QahTfyb4CVJL6cs0BEYoEvy2kxvAQsUNX33MdbgbGqmlzRNgcPHqwrV670RrjGh4qLlSe/3sLLC3dyZudmPDihJz3bNixzXVVlcUIaT8yOZ9P+TIbGNeWxC3vRvXXZ65eWlpXHb2esYXFCGmd0bMo/Lu1H+6Y2qtlUX05BDov3L+bJ5U+SkpPC4FaDmdBxAoNaDiKuUVxAXvIsIqtUdXBZywLpHEM0kFjicZL73EmJQUSmAlMBYmICr3/OVM2xgiLuen8tszce4PrhHXh4Uq8KzyGICCO7NGdmp5F8sDKRp77ewsRnfuCG4bHcdGZsuR/yqUfzePvH3by8aCfFxfDEJX24ckj7gPynNYGvqLiILUe2MG/vPN7e/Da5hbm0qteKDyd9SPem3f0d3mkJpMRQ1n9nmc0ZVX0ZeBmcFoM3gzLelZaVx81vrWRtYjp/ntiDKSMr/+0qOEi4amgM43u15qlvtvD6kl28vmQXIzs3P6G1kZlbwNYDR1mbmE6xwqR+bfnNuM42X7Oplp0ZO5m+ZjpLk5eSme+Uhzs75myu7n41A1oNIDTIdwPRvCWQEkMSULKmcTt+nvfB1EKpR/O44uUf2XcklxeuGcj43m2qtZ0m9cN44pK+/GZcFz5YmchHq5JYvuvwT8vrh4fQqUV9fj22M5P6taVba0sIpuqKiot4e/PbvLDuBUKCQhgXM44z2pzBsDbDaB7Z3N/heVQgJYaZwJ0iMgPnpHPGqc4vmJorLSuPa15dSnL6Md6eMoyhcU1Pe5ttG0fy+3O68vtzunogQmMc2QXZvLXpLWbvns2ujF2Mbjeav5zxF1rXr73Tu/ryctX3gLFAcxFJAh4GQgFU9UVgFs6lqgk4l6ve5KvYjG+l5+Rz7X+Xsycth9dvGuKRpGCMp+3O2M33Sd/z2sbXOHzsMENbD+XmPjczqeOkWn9eymeJQVWvOsVyBe7wUTjGTzKPFXD9a8vZkZLFqzcMZkSn2tUEN7XDgsQF3DX/Lgq1kCGth/DcwOfo06KPv8PymUDqSjK1XFZeITe8tpz45Exeum4Qo7u28HdIprJUIS8Tsg9BzmHIOQQ5ac7zYfUhLMr9WR8im0D9FhBW8y4BVlW+2/sd9y28j+5Nu/P4qMeJaxiYl5t6kyUG4xPHCoqY8sYKNiRlMP2agYzr3srfIRmAowchNAIiGkFeFqCgxVBwDA5uhN0/QOoWSFoJ2SlV23ZYFDRsCw2joW1/aNkLtAiadoR2QyDAPmzXpa7jP6v+w6qDq+jRtAcvnvtijRmQ5mmWGIzXFRUrv5uxhmW7DjPtyv78olftPWkX8I4egF2LYM9i2LMEDm0FCYLGMXBk98nrB4VA827QYbjzYV6vOdRrBvWbQWRT57X52e4ty/mZewSyUyErBY7uh/REWPyMkxSOq9ccOoyANv2gw5nOtoP983G0O2M3c/bM4dk1z9I0oikPDnuQyV0m+3T+g0BjicF4lary8MyNfLPpIA9d0JML+/u3nHCdlJcF696D7d9CwndOiyC8IcScAf2vhoIcSF4P/a6G4x+GYVHQrJOzTlh9D8RwFDL3O4kmcbnTEkn4DuJnOssjm0DvydBxLES1guZdIbLx6e+3AtkF2UxfO51349+lWIsZFT2Kf475J/VCa14XmKdZYjBe9dLCnbyzdC+3ju7Ir0Z6Z35aU46sVJj3GGz+HI5lQNNOMPwO6H0ptO4DviziFt4AWnRz7jfrBP3da1GOZcCOebBlFqx6A1a8+vNrmnaE/tfAoBuhvmcuUsgvyichPYHVB1fzxqY3OJhzkMu6XsYV3a6gS5MuBEmQR/bjE3lZTtL2QpecT2sleYPVSgpcry/exaNfbGZSv7ZMu6I/QR4slW0qkHPYSQbfP+WcIO55IQy9BdoP9XdkFcvcD1kHne6u1C2QMBd2L3LOf8SNgVF/gLYDqrzZ/KJ8Vh5cyeJ9i/ks4bOfRiv3bd6XPw75I/1b9vfwG/GBjCR4+2Lod5VzXKqhptRKMrXI8wsSeOrrrfyiVyv+eVlfSwq+smUWzLzTSQit+8JV7zknfmuChm2dG0C382HkXZASDwuedLqets6Gwb+Cs//itEAqcDT/KN/u/pZZu2axOW0zWQVZhEgIZ3c4m3M7nEuPpj0Cch6ESknd5iSFvExo750C1JYYjEepKv+Zs41n5iVwYf+2/OuyfoQE16DmeU2Vcxhm3wcbPoBWfeDqDyF6YMBd+VNlLXvA5W9CdhrM+yuseAW2zYa+VzjJI3rQT6smHElg4b6FbEnbwrzEeeQV5RHXKI7z485nbPux9G3el8YRjf33Xjxh32p4Z7LTDXjjV9Cmr1d2Y11JxmNUlSdmO6Wzrxjcnr9d0sejM62ZMhQVwtp3YN7/OVcDjboHRt0NIWH+jsw79i5zWkSHtgFQHNWaj5q14r2wIhIKnS6iphFNObfDuVzU+SJ6NetVe8Yg7PweZlwN9ZrCdZ8552pOg3UlGa/LyC3gN++tYeG2VG4cEctDF/S07iNvOnoA1rwDGz+GlM3Q/gyY8A+vfYMMGDHDKLh9MauSfuC7NS8xLzOBVD1C36w8HsjK5txG3Wg+6iHn8ldPXE0VCFRh1etOi7BpJ7juU2hYvYKTlWWJwZy29Jx8rvvvcrYcyOSvF/Xm2mExtedbWqBJiYclz8KWr+BYunNZ5+VvQY9f1vxuowrkFeXx4/4f+W7PdyxIWkBGXgaRIZGMjBnDhLgJnB0Vh+yY57Sc3roQQus5l+IOux2ad/Z3+NWXnw1f3gXr34dOZ8PkV50Wg5dZYjCnxamSuoydh7J5+brBnNW9pb9Dqp0OboZZf4Q9PzhjDLqcC2P/9PMloLVQTkEOC/ctZO6euSxMWkhOYQ4NQhswtv1Yzu5wNiPajiAypMR0rM06OZe37lzgJM7VbzmXv7YdCINucK7gCQn32/upskPb4f3rnCu0znrQ6SYM8s35OjvHYKrtcHY+V728lN1p2bxy/WCrfeRpqrBzPix5zvmwi2jkXJrY7yqPXdcfaIqKi1h2YBlf7PiCuXvnkluYS9OIpoyLGcc5MecwtPXQyo9IzkqB1W86l+4e2ABRreGM250kEdnEu2/kdG2eCZ/92jlXNPlV6DTO47uo6ByDJQZTLUey87n61WXsTM3itRuHcGbn2vlB5Re5R5xvu6vfgrQEp9ZQn0vhzN/7pBvBH7Yf2c4XO77gq51fkZKbQoOwBvwi9hdMjJvIgJYDCD6dwXiqsOt7+OE/ToINCnVGWZ9xW7XGRXhVXhZ8+6Az2C96kNNN2KidV3ZlicF4VMnuo1etpeA5Rw86l2Ou+C/kHnZOKA+6AXpd4hS6q2USMxP5cteXfLv7WxLSEwiREEZGj2RSp0mMaT+G8GAvdPskr4M17zpJtzDXGesx8Hroe7nTIvOnvUvh01vhyB4Y8RsY92evdn0FTGIQkfHANCAYeFVVnyy1fCzwObDLfeoTVX2som1aYvCt1KPOzGt7D+fw6vVDGNnFWgqn7fBOWPqi0+1RlA+dz4VxDzoF5mqRguIC1hxcw6a0TSxIXMDqlNUIwoCWAzgv9jzOjzufphE+ahHlpsOGD51jfmADhERCr4udlkTcKN+ei8g5DAuegOWvOMUML37RKTDoZQGRGEQkGNgGnIszv/MK4CpV3VxinbHAPap6QWW3a4nBd9YnpXPH/1Zz6Gg+r904hOGdmvk7pJpL1Sn3sPQFZ0RvUIjzrXXU3ad9fXogKdZi1qasZfau2Xy751sOH3Pm4u7UqBOTOk1iYseJ/p0iUxX2r3ESxIaPnAqxYQ2gyznQ/QLnJL83WxK7FsEH1zk1owZPgXMePuWobk8JlHEMQ4EEVd3pBjUDuBDYXOGrTED4YGUif/5sIy2iwvnfLcMYEBPgJ+8CVXGRczJ00b/h4AanhPXoP8KQKdCgdpQjV1U2HtrI17u/5pvd33Aw5yDhweGMbjeaiR0nMrDlQJpEBMjfj4gzQjx6IIz/u3MuYstXsHUWbPrUOR8RNwq6T4RuE5wrwvKznJbd8XLl1bHze1j0L2d/zbvBjbOgVU/PvrfT4MsWw6XAeFW92X18HTBMVe8ssc5Y4GOcFsV+nNbDpjK2NRWYChATEzNoz549Xo+/riooKuavX27mrR/3cGbnZjx71UCa1q+lo2q9qajA6bpY9G9I2+6MPxjxG+hzGYRGnvr1NUB+UT5vbnqTj7d/zL6sfYQEOecMxseOZ2z7sdQPrUEDzoqLnMmJtn4F8V/C4R1lr9d2ADTr4nT9tOzpJPcGbcoeeX5kj1PYMHGZ8zfQMNqp/TTkZq+XGC9LoHQlXQb8olRiGKqqvymxTkOgWFWzRGQCME1Vu1S0XetK8p4DGcf4zXurWbH7CLeMiuO+8d2t7lFVFebB2nedK2LS9zp1jEbfAz0m+bbstRcUFReRXZjNiuQVzEucx8KkhaTnpTO8zXAmdJzAuJhxNAxr6O8wT5+qU4Jj62xnsqHIps68FZnJsHshHEpwJiQ6ToKcD/3iQueKovAGTjXUtB0QEuHMORF7ptN15MeLCgKlKykJaF/icTucVsFPVDWzxP1ZIvK8iDRX1UM+itG45sYf5I8fredYQRHTruxvE+xUVW66kwzWvO1UOo0eBOc/BV3H1/gRykfzjzJt9TS+3Pkl2QXZADQMa8jodqP5ZadfMrztcD9H6GEizkDCsgYTjvnjz4kjPRGOJkNGIhze5SSP9L3OvBgtujvnLAb/Chq3P3k7AcaXiWEF0EVE4oB9wJXA1SVXEJHWwEFVVREZCgQBaT6Msc7LyC3g/77czIerkujeugHPXT2Qzi2j/B1WzZF7xCnLsOoN5xtjzwudiWY6nlXjE0KxFjNzx0yeXvU0R/KOMKnjJDo27kivZr0Y2GogoUF1dCrMihJHDeWzxKCqhSJyJ/ANzuWqr6nqJhG5zV3+InApcLuIFAK5wJVa0wda1CDfb0vl/o/XczDzGHec1Ynfnt2F8JCa3d3hM5n7nZPKC//pjEEYdCMMvKHmzIVwCpvTNvP4ssdZn7qevi36Mv2c6fRq1svfYRkvsQFuhqPHCvjbrHjeW55I55ZR/OuyfvRr39jfYdUMeUdh2YvOSeWCHGfilAn/rPFVTvOK8pifOJ96IfVYlLSID7Z9QOPwxtw16C5+2emXNWsKTFOmQDnHYALQ4oRD3PvRepIzcrl1TEfuOqcrEaHWSqhQXpZT8nr1W5C+x7l8sdtEOPshpzuhBncZ7UzfyVMrnmJT2ibS89IBCJIgruh2BXcOuLN2nEw2p2SJoY7KzivkidnxvLN0Lx2b1+fD20YwqEOAXFseaPKznUSQl+mUc178DGQdgHZDnZnE+l8D7QadejsBIr8on9c3vs73Sd/TKLwRPZv1pHvT7mw9vJX/bvwv9UPrM6bdGM6JOYdmkc1oFtmM6Ci7+KAuscRQx6gq329L5S+fbyTpSC43j4zjnl90s1ZCWYoKYOMnMPcxyEz6+fnoQc50kzFn+C+2atibuZdNaZuYvnY6ezL3MKDlAFJyUvhx/48UaREAE+ImcO+Qe2kWaaPa6zJLDHXI4oRDPP5VPJuTM+nQrB7vTx3O0LjaWa2z2nIOO5OibJ3lTLqedQBa9XZKH7fpC1kHoUlcjekuKtZiNhzawP/i/8fXu7+mWIvp0LADL537EiPaOvV4cgtz2ZWxi4iQCDo26ujniE0gsMRQBxwrKOLJ2Vt4Y8luYpvV46nJffll/7bWSjjuWKZzvfnS553RyUX5TjJoPwQGXOcUtTs+QUrTwPvgVFUKiwv5YNsHfLnjS4q0iNb1W9Mkoglf7fyKvKI8GoY15KruVzE+djw9m/UkLPjnkbmRIZH0bBY45RiM/1liqMUycgr4ZvMBXliwg12HsrlxRCz3n9+9bieE4mJnjuS9Pzqjkjd+5BRRAwgOdy4xHXQjtO7t1zBLSs1JRUSICI5ARMgvyic+LZ5NaZv4YNsHZOZlEhocSkZeBn2a96FlZEu2HdnG4WOHOTvmbPq16MeFnS+sWSUpjF9ZYqiFioqVlxbu4Nm5CeQWFNG5ZRTvTBlWN0tkF+bBwY1OvZtD22DbN1Bc8PPy5t3grD87k6t3OQ+i/D81qapSqIWsOriKVze8yrLkZeWuO7zNcOIaxZFbmMs5Hc5hVPQom2/bnDZLDLXMou2pTPtuOyv3HOEXvVrx67Gd6RPdiKCgOvRhUVwM8TOdy0mT10HOIZBgpxTBwOugRQ/oPsFpIdRr5rN5dEsrKC5g25Ft5Bbkkl+Uz7GiYxzIPsBH2z9i+5HtADSPbM6d/e+kUXgj8oryfnptt6bdaFu/LTENq1nd05gKWGKoJbLyCpk+P4EXFuygeVQ4/7ysH5MHRtetb48HNsCPz8Ouhc5VRE3iIG409PylM/CsYVu/hKWq7Mvax5L9S8gtzKWguID0Y+nM3jWblNyUk9bv1qQbt/S5hXYN2jGx40TvzGRmTAUsMdRwOfmFvPXjHl76fgdHcgq4dFA7/nZxH8JC6sjI1OJi2DkPljwHO+dDaH1ncpXuDzuzcXmxgumezD2sPLCSo/lHOZJ35KTlWw9vJf5wPJl5mRRq4QnLBGFE2xHcPfhumkY2JSI4grDgMOqH1iemQUzdSugm4FhiqKFUlS/XJ/PYl5tJPZrH6K4t+MO5XelfF0pZFBVAWoJTBnn1m3BkN0S1hnMecU4cR1Z/oJ6qsu3INlYeXElh8c8f5nlFeWxO20xBcQGpOakkZyf/NDIYIDQoFOHED/Pmkc0ZFzOOxuGNaRrRlNHtRtM0oilhwWGEBoVaWQkTsCwx1DDFxcrsjQd4dt52thw4Su/ohrxwzUAGx9bC8QhFhZCyySlbnRIPBzY6J5JTtziXlAJ0GAlnPehUMa3EPL2Hjx1mQeICjhUeo6C4gMLiQnIKc0jMTCT+cDwHcw6SW5hb5mtjGsQQFRZFo/BG9Gneh46NOzIyeiRNIppYqQhTq1gRvRpCVflifTLPzt3O9pQsOraoz51ndeaX/drWmslzcgpyWBH/IXm7FvBRRjz7C446E6McJ8HOh39wmPMzJMKpeV8FablpZBVknfCcILSNakuXJl1oF9WOTo07MTJ6JA3CGpywTr3Qeqf1/owJJFZEr4Y7kp3PvR+vZ87mg3RpGcUzVw1gYp82BNfEK40SVzizXQWHQ0g4R4oLSNy3lIOJi/lnYTL7g5wvKo1VGB7Rwp0mMQIiGlaqRXAqEcERXNHtCtpEtSE0KPSnW3ANn03NGE+yxBCgVJVN+zOZtSGZ95bvJSuvkD9P7MGvzoyr3KWnxcXOB3BxEaCgxc5MU3r8fjFkpzolHkLCnXmHg8MgKMS55aY7M1FJUIlbif0W5TuzVIVEOBVFG7X/eTL71C1waDu07OHcD410zgFs+BA2fQLAosgIPo+qz+J6kWS5l4vGBoUyvf35tOg2ifYtehMVZhMEGeMPlhgCSEJKFt9sOsCczQfZl55L6tE8goOEMV1bcPd5XenVtpGzoqrT1565/8QNpG51TsTuW+ksy071bsDB4c4sZSW7e1wKFAAqxx8LBIeSNeou/l2cwhf7F9EirBFDotpzSdwFhDWNY1CrQXZppjEBwKeJQUTGA9NwZnB7VVWfLLVc3OUTgBzgRlVd7csYfamoWPl0zT6S03NZl5TBd/EHATgjOowHmy6gc2wxHVs2oF5YCGxfAAkAAglzYe+Ssjca0ciZcL7zOU4V0NBI59s+cuI3fxFncFdUa2ckcH6O0wrQIufDPiQSmnUq0cIo9eEvQU43T0GuO8ftTqeVARSEN+D23R+xLHXNyfElfUyIhHBbv9u4pc8tJ9TsMcYEBp8lBhEJBqYD5wJJwAoRmamqm0usdj7Qxb0NA15wfwasYwVFbEs9SHLmUdJzCsjIzedITgGZuQXUD25CVEQYxaoUFBXTtH44ocFCdk4uyRvmEXVkC3mFzgdu5+AgHmy7i9jMVciRAufD+SCwvYydRjZxJpaPHswJV0hGtYJG7Xzxtn/yQvzbvLvlXUpexFCkRWQXZHN9z+tpEuFcOioIIoIgjIweSZcmXXwap/EP/an78sSbOgt/flxUhObmosXFHt1/SNOmSGj156Iuysoma/48NL/g1CtXIKxjHPUGDDitbRyXv3s3Oauc78vhXbsS2cfzdb18dlWSiAwHHlHVX7iP/wSgqk+UWOclYIGqvuc+3gqMVdXk8rZb3auSXr3/n+SGePaP0Jg6pyZc1Hi612h46j166lqREvHULwrmV0/eXb1wKrgqyZfXOUYDiSUeJ7nPVXUdRGSqiKwUkZWpqdXsR7eRpcacPqkBt0B5j55SYpsS4p1OH1+eYyjr0JTOxZVZB1V9GXgZnBZDdYK5+YnqZVljjKntfNliSALal3jcDthfjXWMMcZ4kS8Twwqgi4jEiUgYcCUws9Q6M4HrxXEGkFHR+QVjjDGe57OuJFUtFJE7gW9wLld9TVU3icht7vIXgVk4l6om4FyuepOv4jPGGOPw6TgGVZ2F8+Ff8rkXS9xX4A5fxmSMMeZEtaP6mjHGGI+xxGCMMeYElhiMMcacwBKDMcaYE9T4iXpEJBXYU82XNwcOeTAcb7E4PacmxAgWp6fVhDh9HWMHVW1R1oIanxhOh4isLK9WSCCxOD2nJsQIFqen1YQ4AylG60oyxhhzAksMxhhjTlDXE8PL/g6gkixOz6kJMYLF6Wk1Ic6AibFOn2MwxhhzsrreYjDGGFOKJQZjjDEnqLOJQUTGi8hWEUkQkfv9HU9JIrJbRDaIyFoRWek+11RE5ojIdvdnEx/H9JqIpIjIxhLPlRuTiPzJPbZbReQXfo7zERHZ5x7PtSIywZ9xikh7EZkvIvEisklEfuc+H1DHs4I4A+14RojIchFZ58b5qPt8wBzPCmIMqGP5E1Wtczecst87gI5AGLAO6OnvuErEtxtoXuq5p4D73fv3A3/3cUyjgYHAxlPFBPR0j2k4EOce62A/xvkIcE8Z6/olTqANMNC93wDY5sYSUMezgjgD7XgKEOXeDwWWAWcE0vGsIMaAOpbHb3W1xTAUSFDVnaqaD8wALvRzTKdyIfCme/9N4CJf7lxVFwKHKxnThcAMVc1T1V0482sM9WOc5fFLnKqarKqr3ftHgXicuc0D6nhWEGd5/BWnqmqW+zDUvSkBdDwriLE8fvsfgrrblRQNJJZ4nETFf/C+psC3IrJKRKa6z7VSdzY792dLv0X3s/JiCsTje6eIrHe7mo53Kfg9ThGJBQbgfIMM2ONZKk4IsOMpIsEishZIAeaoasAdz3JihAA7llB3E4OU8VwgXbd7pqoOBM4H7hCR0f4OqIoC7fi+AHQC+gPJwL/c5/0ap4hEAR8Dv1fVzIpWLeM5f8YZcMdTVYtUtT/OPPFDRaR3Bav7Jc5yYgy4Ywl1NzEkAe1LPG4H7PdTLCdR1f3uzxTgU5wm5EERaQPg/kzxX4Q/KS+mgDq+qnrQ/acsBl7h5ya53+IUkVCcD9t3VfUT9+mAO55lxRmIx/M4VU0HFgDjCcDjWTrGQD2WdTUxrAC6iEiciIQBVwIz/RwTACJSX0QaHL8PnAdsxInvBne1G4DP/RPhCcqLaSZwpYiEi0gc0AVY7of4gJ8+FI67GOd4gp/iFBEB/gvEq+q/SywKqONZXpwBeDxbiEhj934kcA6whQA6nuXFGGjH8ie+OssdaDdgAs5VFjuAB/0dT4m4OuJcjbAO2HQ8NqAZMBfY7v5s6uO43sNp6hbgfJuZUlFMwIPusd0KnO/nON8GNgDrcf7h2vgzTmAkTrfAemCte5sQaMezgjgD7Xj2Bda48WwEHnKfD5jjWUGMAXUsj9+sJIYxxpgT1NWuJGOMMeWwxGCMMeYElhiMMcacwBKDMcaYE1hiMMYYcwJLDMaUICKNReTXJR63FZGPvLSvi0TkoXKWZbk/W4jI197YvzHlscRgzIkaAz8lBlXdr6qXemlf9wLPV7SCqqYCySJyppdiMOYklhiMOdGTQCe3Nv4/RCRW3LkdRORGEflMRL4QkV0icqeI/EFE1ojIUhFp6q7XSUS+dosgLhKR7qV3IiJdgTxVPeQ+jhORH0VkhYj8tdTqnwHXePVdG1OCJQZjTnQ/sENV+6vqH8tY3hu4GqemzeNAjqoOAH4ErnfXeRn4jaoOAu6h7FbBmcDqEo+nAS+o6hDgQKl1VwKjqvl+jKmyEH8HYEwNM1+duQmOikgG8IX7/Aagr1uJdATwoVNqCHAmWymtDZBa4vGZwGT3/tvA30ssSwHaeiZ8Y07NEoMxVZNX4n5xicfFOP9PQUC6OuWVK5ILNCr1XHn1aSLc9Y3xCetKMuZER3GmsawWdeYr2CUil4FToVRE+pWxajzQucTjxThVfuHk8wld+bnqpjFeZ4nBmBJUNQ1YLCIbReQf1dzMNcAUETleIbesaWMXAgPk5/6m3+FMyrSCk1sSZwFfVTMWY6rMqqsa4yciMg34QlW/O8V6C4ELVfWIbyIzdZ21GIzxn78B9SpaQURaAP+2pGB8yVoMxhhjTmAtBmOMMSewxGCMMeYElhiMMcacwBKDMcaYE1hiMMYYc4L/B96BbIx8+1IGAAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -622,7 +623,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -655,7 +656,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -690,7 +691,7 @@
     },
     {
      "data": {
-      "image/png": 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+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -721,9 +722,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "swiftestOOF",
    "language": "python",
-   "name": "python3"
+   "name": "swiftestoof"
   },
   "language_info": {
    "codemirror_mode": {
@@ -735,7 +736,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.6"
+   "version": "3.7.10"
   }
  },
  "nbformat": 4,