From 5e80def9e21bb259b4d9338949c8f3a393117d9c Mon Sep 17 00:00:00 2001 From: David A Minton Date: Fri, 20 Aug 2021 09:52:27 -0400 Subject: [PATCH 1/6] Restructured code so that the eucl method falls under util and is now accessed using %index. Now include sorting in that so that pl arrays are always sorted prior to indexing, rather than remembering to do it each time. --- Makefile | 6 - .../swiftest_vs_swifter.ipynb | 4 +- .../8pl_16tp_encounters/param.swifter.in | 6 +- .../8pl_16tp_encounters/param.swiftest.in | 6 +- .../swiftest_rmvs_vs_swifter_rmvs.ipynb | 84 +- examples/symba_chambers_2013/.gitignore | 1 + .../symba_chambers_2013/savestate2/param.in | 32 + .../savestate2/pl_chambers_2013.in | 937 +++++++++++ .../savestate2/sun_MsunAUYR.in | 7 + examples/symba_chambers_2013/savestate2/tp.in | 1 + .../swiftest_vs_swifter.ipynb | 1440 +---------------- .../swiftest_symba_vs_swifter_symba.ipynb | 32 +- .../mars_disk/param.swifter.in | 2 +- .../mars_disk/param.swiftest.in | 4 +- .../mars_disk/swiftest_vs_swifter.ipynb | 451 +++++- src/fragmentation/fragmentation.f90 | 33 +- src/helio/helio_util.f90 | 21 + src/modules/helio_classes.f90 | 7 + src/modules/swiftest_classes.f90 | 7 +- src/modules/symba_classes.f90 | 7 + src/modules/whm_classes.f90 | 8 + src/{python => python_bindings}/orbel.f90 | 4 +- src/setup/setup.f90 | 2 +- src/symba/symba_collision.f90 | 1 - src/symba/symba_setup.f90 | 20 +- src/symba/symba_util.f90 | 54 +- src/{eucl/eucl.f90 => util/util_index.f90} | 13 +- src/util/util_resize.f90 | 1 - src/util/util_spill.f90 | 4 + src/whm/whm_setup.f90 | 1 - src/whm/whm_util.f90 | 16 + 31 files changed, 1627 insertions(+), 1585 deletions(-) create mode 100644 examples/symba_chambers_2013/.gitignore create mode 100644 examples/symba_chambers_2013/savestate2/param.in create mode 100644 examples/symba_chambers_2013/savestate2/pl_chambers_2013.in create mode 100644 examples/symba_chambers_2013/savestate2/sun_MsunAUYR.in create mode 100644 examples/symba_chambers_2013/savestate2/tp.in create mode 100644 src/helio/helio_util.f90 rename src/{python => python_bindings}/orbel.f90 (87%) rename src/{eucl/eucl.f90 => util/util_index.f90} (73%) diff --git a/Makefile b/Makefile index 94dfbceeb..374174b6d 100644 --- a/Makefile +++ b/Makefile @@ -91,11 +91,6 @@ lib: ln -s $(SWIFTEST_HOME)/Makefile.Defines .; \ ln -s $(SWIFTEST_HOME)/Makefile .; \ make libdir - cd $(SWIFTEST_HOME)/src/eucl; \ - rm -f Makefile.Defines Makefile; \ - ln -s $(SWIFTEST_HOME)/Makefile.Defines .; \ - ln -s $(SWIFTEST_HOME)/Makefile .; \ - make libdir cd $(SWIFTEST_HOME)/src/fragmentation; \ rm -f Makefile.Defines Makefile; \ ln -s $(SWIFTEST_HOME)/Makefile.Defines .; \ @@ -193,7 +188,6 @@ clean: cd $(SWIFTEST_HOME)/src/modules; rm -f Makefile.Defines Makefile *.gc* cd $(SWIFTEST_HOME)/src/discard; rm -f Makefile.Defines Makefile *.gc* cd $(SWIFTEST_HOME)/src/drift; rm -f Makefile.Defines Makefile *.gc* - cd $(SWIFTEST_HOME)/src/eucl; rm -f Makefile.Defines Makefile *.gc* cd $(SWIFTEST_HOME)/src/fragmentation; rm -f Makefile.Defines Makefile *.gc* cd $(SWIFTEST_HOME)/src/gr; rm -f Makefile.Defines Makefile *.gc* cd $(SWIFTEST_HOME)/src/helio; rm -f Makefile.Defines Makefile *.gc* diff --git a/examples/rmvs_swifter_comparison/1pl_1tp_encounter/swiftest_vs_swifter.ipynb b/examples/rmvs_swifter_comparison/1pl_1tp_encounter/swiftest_vs_swifter.ipynb index 20122244c..aa7e8e5e3 100644 --- a/examples/rmvs_swifter_comparison/1pl_1tp_encounter/swiftest_vs_swifter.ipynb +++ b/examples/rmvs_swifter_comparison/1pl_1tp_encounter/swiftest_vs_swifter.ipynb @@ -81,8 +81,8 @@ { "data": { "text/plain": [ - "[,\n", - " ]" + "[,\n", + " ]" ] }, "execution_count": 6, diff --git a/examples/rmvs_swifter_comparison/8pl_16tp_encounters/param.swifter.in b/examples/rmvs_swifter_comparison/8pl_16tp_encounters/param.swifter.in index 741d5ac99..acd0bd0ce 100644 --- a/examples/rmvs_swifter_comparison/8pl_16tp_encounters/param.swifter.in +++ b/examples/rmvs_swifter_comparison/8pl_16tp_encounters/param.swifter.in @@ -1,9 +1,9 @@ ! VERSION Swifter parameter file converted from Swiftest T0 0.0 -TSTOP 36525.0 +TSTOP 9500.0 DT 1.0 -ISTEP_OUT 10 -ISTEP_DUMP 10 +ISTEP_OUT 100 +ISTEP_DUMP 100 OUT_FORM XV OUT_TYPE REAL8 OUT_STAT UNKNOWN diff --git a/examples/rmvs_swifter_comparison/8pl_16tp_encounters/param.swiftest.in b/examples/rmvs_swifter_comparison/8pl_16tp_encounters/param.swiftest.in index 633613b13..f924ebb95 100644 --- a/examples/rmvs_swifter_comparison/8pl_16tp_encounters/param.swiftest.in +++ b/examples/rmvs_swifter_comparison/8pl_16tp_encounters/param.swiftest.in @@ -1,9 +1,9 @@ ! VERSION Swiftest parameter input T0 0.0 -TSTOP 36525.0 +TSTOP 9500.0 DT 1.0 -ISTEP_OUT 10 -ISTEP_DUMP 10 +ISTEP_OUT 100 +ISTEP_DUMP 100 OUT_FORM XV OUT_TYPE REAL8 OUT_STAT UNKNOWN diff --git a/examples/rmvs_swifter_comparison/8pl_16tp_encounters/swiftest_rmvs_vs_swifter_rmvs.ipynb b/examples/rmvs_swifter_comparison/8pl_16tp_encounters/swiftest_rmvs_vs_swifter_rmvs.ipynb index 86a6d8098..382459e3b 100644 --- a/examples/rmvs_swifter_comparison/8pl_16tp_encounters/swiftest_rmvs_vs_swifter_rmvs.ipynb +++ b/examples/rmvs_swifter_comparison/8pl_16tp_encounters/swiftest_rmvs_vs_swifter_rmvs.ipynb @@ -21,9 +21,9 @@ "output_type": "stream", "text": [ "Reading Swifter file param.swifter.in\n", - "Reading in time 3.650e+03\n", + "Reading in time 9.500e+03\n", "Creating Dataset\n", - "Successfully converted 366 output frames.\n", + "Successfully converted 96 output frames.\n", "Swifter simulation data stored as xarray DataSet .ds\n" ] } @@ -45,9 +45,9 @@ "output_type": "stream", "text": [ "Reading Swiftest file param.swiftest.in\n", - "Reading in time 3.650e+03\n", + "Reading in time 9.500e+03\n", "Creating Dataset\n", - "Successfully converted 366 output frames.\n", + "Successfully converted 96 output frames.\n", "Swiftest simulation data stored as xarray DataSet .ds\n" ] } @@ -104,7 +104,7 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -130,7 +130,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", "text/plain": [ "
" ] @@ -230,7 +230,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -587,27 +587,73 @@ " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", - "
<xarray.DataArray 'px' ()>\n",
-       "array(-9.71445147e-15)\n",
+       "
<xarray.Dataset>\n",
+       "Dimensions:  (id: 16)\n",
        "Coordinates:\n",
-       "    id       int64 101\n",
-       "    time     float64 1.14e+03
" + " * id (id) int64 101 102 103 104 105 106 107 ... 111 112 113 114 115 116\n", + " time float64 500.0\n", + "Data variables:\n", + " GMass (id) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n", + " Radius (id) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n", + " px (id) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0\n", + " py (id) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0\n", + " pz (id) float64 0.0 0.0 0.0 0.0 -1.775e-18 ... 0.0 -1.388e-17 0.0 0.0\n", + " vx (id) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 -3.469e-18\n", + " vy (id) float64 0.0 0.0 0.0 0.0 ... -4.337e-19 2.168e-19 0.0\n", + " vz (id) float64 0.0 0.0 -1.084e-19 ... -4.066e-20 -1.355e-20\n", + " rmag (id) float64 0.0 0.0 0.0 0.0 1.775e-18 ... 0.0 1.388e-17 0.0 0.0\n", + " vmag (id) float64 0.0 0.0 1.084e-19 0.0 ... 4.4e-19 2.206e-19 3.469e-18
" ], "text/plain": [ - "\n", - "array(-9.71445147e-15)\n", + "\n", + "Dimensions: (id: 16)\n", "Coordinates:\n", - " id int64 101\n", - " time float64 1.14e+03" + " * id (id) int64 101 102 103 104 105 106 107 ... 111 112 113 114 115 116\n", + " time float64 500.0\n", + "Data variables:\n", + " GMass (id) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n", + " Radius (id) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n", + " px (id) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0\n", + " py (id) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0\n", + " pz (id) float64 0.0 0.0 0.0 0.0 -1.775e-18 ... 0.0 -1.388e-17 0.0 0.0\n", + " vx (id) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 -3.469e-18\n", + " vy (id) float64 0.0 0.0 0.0 0.0 ... -4.337e-19 2.168e-19 0.0\n", + " vz (id) float64 0.0 0.0 -1.084e-19 ... -4.066e-20 -1.355e-20\n", + " rmag (id) float64 0.0 0.0 0.0 0.0 1.775e-18 ... 0.0 1.388e-17 0.0 0.0\n", + " vmag (id) float64 0.0 0.0 1.084e-19 0.0 ... 4.4e-19 2.206e-19 3.469e-18" ] }, - "execution_count": 28, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "swiftdiff['px'].sel(id=101).isel(time=114)" + "swiftdiff.sel(id=tpidx).isel(time=5)" ] }, { diff --git a/examples/symba_chambers_2013/.gitignore b/examples/symba_chambers_2013/.gitignore new file mode 100644 index 000000000..18e3d4488 --- /dev/null +++ b/examples/symba_chambers_2013/.gitignore @@ -0,0 +1 @@ +savestate/* diff --git a/examples/symba_chambers_2013/savestate2/param.in b/examples/symba_chambers_2013/savestate2/param.in new file mode 100644 index 000000000..2e263e1b5 --- /dev/null +++ b/examples/symba_chambers_2013/savestate2/param.in @@ -0,0 +1,32 @@ +! +! Parameter file for Chambers 2013 in units of Msun, AU, year +! +T0 0.0e0 +TSTOP 1e8 ! simulation length in years +DT 0.016 ! stepsize in years +CB_IN sun_MsunAUYR.in +PL_IN pl_chambers_2013.in +TP_IN tp.in +IN_TYPE ASCII +ISTEP_OUT 625 ! output cadence +ISTEP_DUMP 625 ! system dump cadence +BIN_OUT bin.dat +PARTICLE_OUT particle.dat +OUT_TYPE REAL8 ! double precision real output +OUT_FORM EL ! osculating element output +OUT_STAT REPLACE +CHK_CLOSE yes ! check for planetary close encounters +CHK_RMAX 100000.0 ! discard outside of +EXTRA_FORCE no ! no extra user-defined forces +BIG_DISCARD no ! output all planets if anything discarded +RHILL_PRESENT yes ! Hill's sphere radii in input file +MU2KG 1.98847e30 ! (M_sun-> kg) +DU2M 1.495979e11 ! distance unit to meters (AU --> m) +TU2S 3.15569259747e7 ! time unit to seconds (years --> seconds) +GMTINY 1e-10 +ENERGY yes +ENERGY_OUT energy.dat +ROTATION yes +FRAGMENTATION yes +DISCARD_OUT discard.out +SEED 8 12261555 871132 92734722 21132443 36344777 4334443 219291656 3848566 diff --git a/examples/symba_chambers_2013/savestate2/pl_chambers_2013.in b/examples/symba_chambers_2013/savestate2/pl_chambers_2013.in new file mode 100644 index 000000000..1ba4c845e --- /dev/null +++ b/examples/symba_chambers_2013/savestate2/pl_chambers_2013.in @@ -0,0 +1,937 @@ +156 ! Solar System in unit system AU, M_sun, and years +500 3.76722155e-02 1.08899907e-02 ! ID / G*Mass / Rhill Jupiter +4.67326079e-04 ! Radius +3.46016026e+00 -3.69444209e+00 -6.20863032e-02 ! x y z +1.97779378e+00 2.01435697e+00 -5.26023669e-02 ! vx vy vz +0.0 0.0 0.2756 ! ip +-81.01800465 -2388.16786145 5008.65350675 ! rot +600 1.12798314e-02 1.99069165e-02 ! ID / G*Mass / Rhill Saturn +3.89256801e-04 ! Radius +5.80057555e+00 -8.09777935e+00 -9.01449584e-02 ! x y z +1.54008846e+00 1.17938756e+00 -8.18949214e-02 ! vx vy vz +0.0 0.0 0.22 ! ip +445.81155409 381.95827345 5182.3159189 ! rot +4 1.10539569e-05 2.76930511e-03 ! ID / G*Mass / Rhill +2.36555201e-05 ! Radius +2.72988779e-01 1.29092883e+00 1.33913146e-01 ! x y z +-5.30347096e+00 1.10519810e+00 4.11733597e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +5 1.10539569e-05 2.47028309e-03 ! ID / G*Mass / Rhill +2.36555201e-05 ! Radius +-7.52767237e-01 -7.89903716e-01 4.41780109e-01 ! x y z +3.97724375e+00 -4.13307219e+00 -7.22805540e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +6 1.10539569e-05 1.32328966e-03 ! ID / G*Mass / Rhill +2.36555201e-05 ! Radius +6.20377608e-01 -7.87272103e-02 7.12067297e-02 ! x y z +1.02503121e+00 7.84536983e+00 -1.81237075e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +7 1.10539569e-05 9.44674456e-04 ! ID / G*Mass / Rhill +2.36555201e-05 ! Radius +6.98175547e-02 -4.40604282e-01 -6.26515066e-02 ! x y z +9.16286233e+00 1.29526313e+00 1.28292031e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +8 1.10539569e-05 2.10455183e-03 ! ID / G*Mass / Rhill +2.36555201e-05 ! Radius +-7.37344424e-01 -6.59393259e-01 -3.39334297e-02 ! x y z +4.23617128e+00 -4.72560240e+00 1.90202709e-02 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +9 1.10539569e-05 7.93127033e-04 ! ID / G*Mass / Rhill +2.36555201e-05 ! Radius +-3.72282885e-01 1.00137160e-02 4.74495877e-02 ! x y z +-5.53222723e-02 -1.01517333e+01 1.56417032e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +10 1.10539569e-05 3.72890834e-03 ! ID / G*Mass / Rhill +2.36555201e-05 ! Radius +-1.71148151e+00 4.03705975e-02 -4.41629664e-01 ! x y z +-5.30815676e-01 -4.44829638e+00 1.51595205e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +11 1.10539569e-05 1.24950838e-03 ! ID / G*Mass / Rhill +2.36555201e-05 ! Radius +2.86212864e-01 5.18828229e-01 -9.65137375e-03 ! x y z +-7.11468376e+00 3.99045778e+00 4.08951506e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +12 1.10539569e-05 1.29201140e-03 ! ID / G*Mass / Rhill +2.36555201e-05 ! Radius +6.01579717e-01 -1.24985784e-01 -6.68579475e-02 ! x y z +1.03137581e+00 6.97294287e+00 -3.70526296e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +13 1.10539569e-05 8.45210453e-04 ! ID / G*Mass / Rhill +2.36555201e-05 ! Radius +1.66504352e-01 3.65136786e-01 -2.37270588e-02 ! x y z +-9.01075623e+00 4.10307061e+00 -1.73991242e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +14 1.10539569e-05 1.80973111e-03 ! ID / G*Mass / Rhill +2.36555201e-05 ! Radius +-1.00013418e-01 8.46049108e-01 1.29409189e-01 ! x y z +-6.69397403e+00 -6.88216193e-01 -6.43089317e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +15 1.10539569e-05 6.77162299e-04 ! ID / G*Mass / Rhill +2.36555201e-05 ! Radius +-6.64074759e-02 -2.85943101e-01 -1.33132689e-01 ! x y z +1.04794195e+01 -3.18219029e+00 1.50287735e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +16 1.10539569e-05 2.22462802e-03 ! ID / G*Mass / Rhill +2.36555201e-05 ! Radius +6.93683497e-01 -7.97060245e-01 -1.56701341e-03 ! x y z +4.27957357e+00 3.72233196e+00 -2.27779518e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +17 1.10539569e-05 9.07412459e-04 ! ID / G*Mass / Rhill +2.36555201e-05 ! Radius +-4.30243754e-01 3.92163409e-02 1.61581635e-02 ! x y z +-8.96241375e-01 -9.13377010e+00 -2.60722121e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +18 1.10539569e-06 2.16228637e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-2.49171166e-01 9.89231336e-01 9.47431817e-02 ! x y z +-5.97909060e+00 -1.61462871e+00 5.17955232e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +19 1.10539569e-06 2.44552162e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +1.13055691e+00 -2.73349719e-01 -8.64446048e-04 ! x y z +1.35697138e+00 5.66139385e+00 -8.67279260e-03 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +20 1.10539569e-06 2.69931846e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-7.95952391e-01 8.54202216e-01 5.12437562e-01 ! x y z +-4.18257122e+00 -3.66903213e+00 -4.16936339e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +21 1.10539569e-06 3.64709598e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-1.50222087e+00 2.48717046e-01 -8.19081229e-01 ! x y z +-8.04975551e-01 -4.71387035e+00 7.84362176e-02 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +22 1.10539569e-06 1.17536449e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-2.44682948e-01 -4.96503483e-01 -8.53414160e-02 ! x y z +7.40695872e+00 -3.28819700e+00 -2.14066023e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +23 1.10539569e-06 1.50460742e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +2.36805798e-01 -5.86582522e-01 3.17351611e-01 ! x y z +6.83507157e+00 3.05184627e+00 5.35881505e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +24 1.10539569e-06 2.39048166e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-3.80090550e-01 1.00147849e+00 -3.41420172e-01 ! x y z +-5.59868356e+00 -1.78046309e+00 9.70115472e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +25 1.10539569e-06 2.01027356e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-7.39485525e-01 6.02196012e-01 2.65945142e-02 ! x y z +-4.01389113e+00 -4.93502846e+00 -9.72482631e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +26 1.10539569e-06 3.44715330e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-4.30456826e-01 1.57570303e+00 -1.09595941e-01 ! x y z +-4.64706737e+00 -1.19846831e+00 1.04119454e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +27 1.10539569e-06 1.76967616e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-7.35819630e-01 -4.18940068e-01 -5.26182368e-02 ! x y z +3.13485099e+00 -5.73938205e+00 1.82527292e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +28 1.10539569e-06 4.06342312e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-7.54229262e-01 -1.76044238e+00 -1.80128626e-01 ! x y z +4.18274269e+00 -1.75246993e+00 -1.48893698e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +29 1.10539569e-06 6.51392241e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-6.97001957e-02 -2.83866631e-01 1.02094271e-01 ! x y z +1.06859367e+01 -3.16734146e+00 -1.78495005e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +30 1.10539569e-06 1.50723858e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-3.50547968e-01 5.85483214e-01 -2.02242303e-01 ! x y z +-6.51912702e+00 -3.31902976e+00 1.50673282e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +31 1.10539569e-06 9.91191586e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +5.34148347e-02 -4.67706829e-01 -4.50777179e-04 ! x y z +9.07741521e+00 1.03526094e+00 6.27189957e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +32 1.10539569e-06 1.27434773e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-5.76081124e-01 -1.72561939e-01 2.32546498e-02 ! x y z +2.26640367e+00 -7.48739107e+00 2.18424337e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +33 1.10539569e-06 1.88899665e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +2.21441400e-01 8.67808697e-01 6.09525334e-02 ! x y z +-6.38752841e+00 1.69289574e+00 -5.34224727e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +34 1.10539569e-06 2.51153352e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +6.27618072e-01 -9.85796209e-01 -2.48455975e-01 ! x y z +4.57388053e+00 3.25533389e+00 -1.21335726e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +35 1.10539569e-06 1.31898109e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +3.04370616e-01 5.13132374e-01 1.83051491e-01 ! x y z +-6.94545994e+00 3.58830246e+00 1.54416575e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +36 1.10539569e-06 1.31747151e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-2.72209409e-01 5.58609144e-01 -5.24341572e-02 ! x y z +-7.11229047e+00 -3.50089370e+00 -8.23500441e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +37 1.10539569e-06 8.04475879e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +1.84218244e-01 3.32444349e-01 -3.37468460e-02 ! x y z +-8.87199586e+00 4.71912663e+00 -1.61815818e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +38 1.10539569e-06 8.53415964e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +2.71574947e-01 2.99863851e-01 2.77485703e-02 ! x y z +-7.27373701e+00 6.59527467e+00 -9.50013137e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +39 1.10539569e-06 1.54874159e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-5.42177998e-01 4.64346195e-01 -1.77247174e-01 ! x y z +-4.32593022e+00 -5.71371010e+00 -1.52200642e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +40 1.10539569e-06 1.11811225e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +2.37513378e-01 4.78960335e-01 -4.18799485e-02 ! x y z +-7.64314149e+00 3.80464264e+00 -4.40507044e-02 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +41 1.10539569e-06 6.46344589e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-1.17502253e-01 2.74368057e-01 6.52591009e-02 ! x y z +-1.04985621e+01 -4.38785797e+00 -5.95356835e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +42 1.10539569e-06 3.14895117e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +1.08577487e+00 -1.03445606e+00 -1.55590020e-01 ! x y z +3.53014787e+00 3.59960362e+00 7.43100049e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +43 1.10539569e-06 3.30212225e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +3.85350014e-01 -1.34034680e+00 7.46972274e-01 ! x y z +4.81219105e+00 1.19508883e+00 -3.85665415e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +44 1.10539569e-06 7.23534141e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-1.13136821e-02 3.42286865e-01 -3.05898632e-02 ! x y z +-1.01368906e+01 -6.23201390e-01 -3.40648593e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +45 1.10539569e-06 2.39770005e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-1.04671093e+00 1.11212978e-01 -4.33163084e-01 ! x y z +-3.60007968e-01 -5.84725364e+00 -6.15822401e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +46 1.10539569e-06 3.11101805e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-1.28031558e+00 6.71820187e-01 3.13521220e-01 ! x y z +-2.10656104e+00 -4.54924436e+00 1.23122282e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +47 1.10539569e-06 9.97006532e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-3.03695384e-01 -3.60967985e-01 5.51306924e-02 ! x y z +6.85056674e+00 -5.91778788e+00 -9.60485047e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +48 1.10539569e-06 7.74544738e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-3.54176241e-01 6.02822917e-02 7.63020359e-02 ! x y z +-1.61729423e+00 -1.02381855e+01 4.69477979e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +49 1.10539569e-06 2.60533414e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +4.70647812e-01 -1.14442870e+00 -2.16624680e-04 ! x y z +5.22089775e+00 2.15396431e+00 6.97355593e-02 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +50 1.10539569e-06 1.73280111e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-8.47538292e-02 -7.76819569e-01 -2.57912415e-01 ! x y z +6.69507282e+00 -1.17185683e+00 1.33518772e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +51 1.10539569e-06 3.17790663e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +6.65614001e-01 -1.36216721e+00 3.04841771e-02 ! x y z +4.55635977e+00 2.26593667e+00 1.30678452e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +52 1.10539569e-06 7.23862851e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-3.31702394e-01 -9.11930665e-02 2.41707377e-02 ! x y z +2.70205684e+00 -1.02322038e+01 -1.45694907e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +53 1.10539569e-06 4.09271910e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +3.43010053e-01 1.89928569e+00 1.63915030e-01 ! x y z +-4.44471826e+00 8.12964188e-01 1.91799605e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +54 1.10539569e-06 9.00526678e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-1.76279203e-01 3.69578224e-01 -1.37212342e-01 ! x y z +-8.58447413e+00 -3.12914501e+00 2.65447958e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +55 1.10539569e-06 1.66875324e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-7.45616929e-01 -2.47231702e-01 -1.19477629e-01 ! x y z +2.19161600e+00 -6.68909269e+00 -1.07794911e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +56 1.10539569e-06 2.61296171e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-1.21771549e+00 8.22263396e-02 -2.28049506e-01 ! x y z +-7.77955309e-01 -5.04420236e+00 2.39397114e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +57 1.10539569e-06 7.84583650e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-3.35031870e-01 -1.49752491e-01 7.21876006e-02 ! x y z +3.53139295e+00 -9.14063147e+00 -3.02347388e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +58 1.10539569e-06 8.15353611e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-3.16127731e-01 2.19457827e-01 -2.86640647e-02 ! x y z +-5.75118301e+00 -8.30744977e+00 -7.52286441e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +59 1.10539569e-06 9.46502491e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +4.14567897e-01 -1.70158031e-01 -2.06385746e-02 ! x y z +3.52462324e+00 8.64965730e+00 9.71699819e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +60 1.10539569e-06 1.06023870e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +3.68326520e-01 3.43200640e-01 -3.18358134e-03 ! x y z +-5.99833054e+00 6.50593164e+00 -3.52076060e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +61 1.10539569e-06 2.85747597e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +1.22743812e+00 4.54544048e-01 -3.53405167e-01 ! x y z +-2.13063294e+00 4.75488906e+00 -1.41396521e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +62 1.10539569e-06 1.11156710e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-4.90230366e-01 8.52524184e-02 1.64539092e-01 ! x y z +-1.33697442e+00 -8.59490437e+00 4.64492986e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +63 1.10539569e-06 7.47979433e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +3.26924952e-01 1.39246422e-01 -4.37240131e-02 ! x y z +-4.02802590e+00 9.60769401e+00 9.33600395e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +64 1.10539569e-06 2.36256862e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-1.11787086e+00 1.27230662e-01 -2.97194116e-02 ! x y z +-6.51392127e-01 -5.87014579e+00 -2.95793081e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +65 1.10539569e-06 1.36083964e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-5.68540327e-01 1.32853908e-01 -2.74248856e-01 ! x y z +-2.28636154e+00 -7.40032660e+00 1.15230861e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +66 1.10539569e-06 2.12644561e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-9.02814420e-01 4.51623081e-01 3.31973730e-02 ! x y z +-2.80126142e+00 -5.58560982e+00 -1.92746316e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +67 1.10539569e-06 8.14605985e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-3.85382182e-01 1.43901530e-03 1.15478430e-02 ! x y z +-2.59844799e-02 -1.01271155e+01 4.30703613e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +68 1.10539569e-06 9.27538405e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +3.61232954e-01 2.20844429e-01 -1.22567174e-01 ! x y z +-4.75444340e+00 8.15211658e+00 6.72406103e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +69 1.10539569e-06 1.70813096e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +7.62285263e-01 2.77535790e-01 7.50460161e-03 ! x y z +-2.38561781e+00 6.55492046e+00 -5.72763423e-02 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +70 1.10539569e-06 2.71135229e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +6.33966979e-01 1.05145872e+00 -3.79026357e-01 ! x y z +-4.80055687e+00 2.37239115e+00 -1.45444659e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +71 1.10539569e-06 9.29779721e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-1.09086355e-01 -4.25927399e-01 -5.92609052e-02 ! x y z +8.83426715e+00 -1.97333711e+00 -2.57514440e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +72 1.10539569e-06 2.48562722e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-5.52243615e-01 -1.03472811e+00 -9.20470885e-03 ! x y z +5.14745205e+00 -2.71638935e+00 1.85243774e-02 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +73 1.10539569e-06 1.57390173e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-2.37564413e-01 -7.02794064e-01 -1.30853933e-01 ! x y z +6.84384400e+00 -2.13579218e+00 -7.74318491e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +74 1.10539569e-06 1.33469063e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +5.24670248e-01 -3.60722160e-01 -5.89339466e-03 ! x y z +4.43972950e+00 6.48102200e+00 9.11331663e-02 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +75 1.10539569e-06 6.47192566e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +5.61797829e-02 -3.04486498e-01 4.89626567e-03 ! x y z +1.10606484e+01 2.04593839e+00 -1.21551157e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +76 1.10539569e-06 1.47162297e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +1.43061104e-01 -6.84452631e-01 -2.55174546e-02 ! x y z +7.11009943e+00 1.43236802e+00 1.93726736e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +77 1.10539569e-06 8.63668982e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-2.85992031e-02 -4.08122100e-01 2.78731319e-02 ! x y z +9.76823729e+00 -6.46270469e-01 6.80833278e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +78 1.10539569e-06 2.36804818e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +6.91157068e-01 -7.91937234e-01 3.82540684e-01 ! x y z +4.02153165e+00 4.19828096e+00 1.29880450e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +79 1.10539569e-06 9.14394348e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-3.51098607e-01 2.59366529e-01 -1.55386862e-02 ! x y z +-5.06657998e+00 -7.18889701e+00 -3.53716670e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +80 1.10539569e-06 1.26910472e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +4.23152493e-01 3.88117899e-01 -2.00809903e-01 ! x y z +-4.53578552e+00 6.18184215e+00 2.34837457e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +81 1.10539569e-06 6.33003056e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +1.28512111e-01 2.64697808e-01 -7.13482769e-02 ! x y z +-9.33728759e+00 5.41684777e+00 3.59675928e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +82 1.10539569e-06 2.22271119e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +3.71802215e-01 -9.92089651e-01 5.32987899e-02 ! x y z +5.68468560e+00 2.17000210e+00 -9.37982171e-02 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +83 1.10539569e-06 1.74051421e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +7.86568140e-01 2.32350855e-01 6.38082505e-02 ! x y z +-1.88303694e+00 6.63245612e+00 -8.28072975e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +84 1.10539569e-06 9.31517858e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-3.72567042e-01 -2.35531924e-01 4.96465701e-02 ! x y z +4.70939503e+00 -7.96544948e+00 -1.77358479e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +85 1.10539569e-06 2.46953975e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +3.20593248e-01 1.08358397e+00 3.52755169e-01 ! x y z +-5.53042972e+00 1.53963953e+00 2.87126462e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +86 1.10539569e-06 1.50876657e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-5.56037714e-01 -4.53117788e-01 -4.40686710e-02 ! x y z +4.32334289e+00 -5.53881012e+00 2.32535969e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +87 1.10539569e-06 6.79814743e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-1.71412212e-01 -2.72520775e-01 2.76595629e-02 ! x y z +9.35632724e+00 -5.87401170e+00 1.71700376e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +88 1.10539569e-06 1.37728604e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +4.52644996e-01 4.52246640e-01 1.36128602e-01 ! x y z +-5.47133577e+00 5.50145396e+00 -3.76988545e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +89 1.10539569e-06 1.75150424e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-2.17549909e-01 -7.69243942e-01 2.30477642e-01 ! x y z +6.02966869e+00 -2.44216734e+00 -2.26348882e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +90 1.10539569e-06 1.82243275e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +8.53300892e-01 1.05420241e-01 6.10357233e-03 ! x y z +-7.23180710e-01 6.14709501e+00 -2.81238589e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +91 1.10539569e-06 1.04051592e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +4.76117727e-02 -4.92462500e-01 -7.89640418e-03 ! x y z +8.70186553e+00 7.97359443e-01 -1.82242405e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +92 1.10539569e-06 9.04059360e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-2.13222540e-01 -3.73863988e-01 -4.13231963e-04 ! x y z +8.30795424e+00 -4.74104957e+00 -9.20828866e-02 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +93 1.10539569e-06 2.08546876e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-4.00253331e-02 9.90845414e-01 3.30248466e-02 ! x y z +-6.29625004e+00 -2.72856242e-01 4.06580221e-02 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +94 1.10539569e-06 6.61548636e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +2.95782619e-01 1.07222597e-01 -2.12686228e-02 ! x y z +-3.48575733e+00 1.03058724e+01 2.52560893e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +95 1.10539569e-06 1.26032554e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-2.86024380e-01 -5.25659190e-01 -1.93449627e-02 ! x y z +6.91385395e+00 -3.87796179e+00 1.75371157e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +96 1.10539569e-06 2.28076998e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +8.65990862e-01 6.01183979e-01 2.43471322e-01 ! x y z +-3.24575804e+00 5.02670056e+00 -8.53001170e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +97 1.10539569e-06 7.05221824e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-1.39637261e-01 -3.01107928e-01 -4.31558543e-02 ! x y z +9.00360957e+00 -4.71459755e+00 3.83918395e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +98 1.10539569e-06 6.39269462e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +2.44254383e-01 -1.79341582e-01 -1.04974267e-03 ! x y z +6.75937463e+00 9.18023255e+00 7.52738258e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +99 1.10539569e-06 1.79085174e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-8.13843608e-01 1.99633270e-01 -1.80207407e-01 ! x y z +-1.29939496e+00 -6.46953788e+00 -1.46932255e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +100 1.10539569e-06 1.32458326e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-6.32126102e-01 -2.47196136e-02 -2.42353871e-02 ! x y z +2.92190575e-01 -7.70428120e+00 1.58876111e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +101 1.10539569e-06 1.52095833e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-6.91088291e-01 -1.16411821e-01 -1.71283865e-01 ! x y z +1.53252063e+00 -7.10600791e+00 -1.39483264e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +102 1.10539569e-06 1.58389732e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-5.73673516e-01 -4.82303150e-01 -6.92080251e-02 ! x y z +4.56925372e+00 -5.55908510e+00 8.00568861e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +103 1.10539569e-06 6.78999949e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +2.70326377e-01 1.68246296e-01 4.59682324e-02 ! x y z +-6.01982148e+00 9.02506097e+00 2.30638849e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +104 1.10539569e-06 1.01600407e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-4.27129315e-01 -1.60689947e-01 1.56748833e-01 ! x y z +2.47314908e+00 -8.47972366e+00 -1.94836513e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +105 1.10539569e-06 2.39114531e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +9.42557812e-01 5.29448416e-01 3.49342967e-01 ! x y z +-3.26429676e+00 4.46194553e+00 2.04186289e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +106 1.10539569e-06 7.00793819e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +2.89445458e-01 1.51184189e-01 6.04053839e-02 ! x y z +-4.58420182e+00 9.69365003e+00 -2.04005101e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +107 1.10539569e-06 1.90283015e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +8.56335053e-01 -2.54662167e-01 1.41334047e-01 ! x y z +2.10228445e+00 5.79525323e+00 -2.36721595e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +108 1.10539569e-06 2.96231967e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-1.36313774e+00 -1.39484993e-03 -3.33851852e-01 ! x y z +-1.80152731e-01 -5.22233557e+00 9.45811316e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +109 1.10539569e-06 1.11806853e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +2.46999479e-01 4.69183085e-01 1.48273567e-02 ! x y z +-7.62737255e+00 4.03088377e+00 -2.87208744e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +110 1.10539569e-06 3.12227105e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +8.92685552e-01 -1.19778080e+00 7.96108948e-02 ! x y z +4.05065890e+00 2.97803027e+00 -9.38454309e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +111 1.10539569e-06 2.24585100e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-8.16543398e-01 6.44376993e-01 2.28097541e-01 ! x y z +-3.89719354e+00 -4.47060943e+00 -1.39962365e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +112 1.10539569e-06 3.76823843e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +1.19421123e+00 1.32084250e+00 -7.72400022e-02 ! x y z +-3.08133686e+00 2.88161171e+00 2.10766368e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +113 1.10539569e-06 1.85829977e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +5.64160987e-01 6.79541760e-01 1.90515744e-02 ! x y z +-5.13431676e+00 4.27566051e+00 6.03635853e-02 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +114 1.10539569e-06 3.49744654e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +1.56537224e+00 5.82910904e-01 -8.86453767e-02 ! x y z +-1.64314439e+00 4.51635617e+00 5.81379936e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +115 1.10539569e-06 2.44627752e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-5.21489220e-01 -9.80146980e-01 3.22082629e-01 ! x y z +4.69945017e+00 -3.07448039e+00 -1.66849603e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +116 1.10539569e-06 1.48946902e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-1.60792560e-01 -6.87644911e-01 3.66413788e-02 ! x y z +6.37303278e+00 -1.67465930e+00 -3.52540571e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +117 1.10539569e-06 9.48472009e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +4.15102464e-01 -1.75149973e-01 -2.85549434e-02 ! x y z +3.17699950e+00 8.02980191e+00 -3.56193766e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +118 1.10539569e-06 1.46132866e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-3.45225828e-01 5.98258841e-01 -7.45003268e-02 ! x y z +-6.51260143e+00 -3.60690443e+00 1.16008799e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +119 1.10539569e-06 9.12611171e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-1.84725575e-01 -3.85457639e-01 -5.09774260e-02 ! x y z +8.51718303e+00 -4.26677573e+00 1.26149786e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +120 1.10539569e-06 1.22021916e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +1.44841297e-01 -5.39901332e-01 1.54755735e-01 ! x y z +7.76971331e+00 1.39084378e+00 -2.38817543e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +121 1.10539569e-06 6.51657309e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-1.95970426e-02 -3.07995454e-01 -2.51102574e-02 ! x y z +1.12576282e+01 -6.78821641e-01 -4.95031697e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +122 1.10539569e-06 8.35698784e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +3.58295595e-01 -4.07805583e-02 -1.62744429e-01 ! x y z +5.65842623e-02 9.77741717e+00 -2.12236760e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +123 1.10539569e-06 1.08014635e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-3.57112225e-01 3.26038545e-01 -1.68902691e-01 ! x y z +-5.23071639e+00 -6.75806936e+00 -2.04006316e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +124 1.10539569e-06 1.02550770e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-4.30953626e-01 -1.21419747e-01 -1.92524368e-01 ! x y z +2.35863321e+00 -8.68071542e+00 1.79033554e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +125 1.10539569e-06 6.95814419e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-1.10223043e-02 3.29698672e-01 -2.33216443e-02 ! x y z +-1.05036416e+01 -1.18257626e-01 2.99156731e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +126 1.10539569e-06 1.21782856e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-3.37540070e-01 -4.68051579e-01 3.12017441e-02 ! x y z +6.67938807e+00 -4.87057933e+00 -1.80758676e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +127 1.10539569e-06 1.27648491e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +4.70107622e-01 3.81394049e-01 2.94976958e-02 ! x y z +-5.04123374e+00 6.27657958e+00 5.88259014e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +128 1.10539569e-06 1.62877006e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-4.55138385e-01 -6.23311530e-01 5.02376028e-02 ! x y z +5.28132760e+00 -4.06425983e+00 -2.57712837e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +129 1.10539569e-06 2.66986578e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-7.13493035e-02 -1.22710114e+00 -3.17757228e-01 ! x y z +5.28592709e+00 -7.54459447e-01 1.59593511e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +130 1.10539569e-06 6.56076786e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-2.44014453e-01 -1.91481938e-01 3.64286209e-02 ! x y z +6.89410930e+00 -7.97798070e+00 3.86568598e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +131 1.10539569e-06 1.47791991e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-8.58860487e-02 6.98105661e-01 -6.05263656e-02 ! x y z +-7.39418369e+00 -8.88083586e-01 3.68318815e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +132 1.10539569e-06 1.18316891e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +1.30463297e-01 5.39537186e-01 8.94135251e-02 ! x y z +-7.91933257e+00 2.19758719e+00 -1.62232353e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +133 1.10539569e-06 1.53219837e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-1.10956489e-01 -7.21494396e-01 5.19355079e-02 ! x y z +7.24010486e+00 -1.09301700e+00 -1.60852706e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +134 1.10539569e-06 6.43300411e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-2.88041757e-02 -3.04722867e-01 -3.14812865e-02 ! x y z +1.07993595e+01 -1.40429215e+00 2.96552456e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +135 1.10539569e-06 8.51935749e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-3.86591612e-01 -4.29771812e-02 -1.05863039e-01 ! x y z +1.97234762e+00 -9.03918811e+00 -3.56317371e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +136 1.10539569e-06 7.63507559e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-1.88157405e-01 2.88666278e-01 1.10921677e-01 ! x y z +-8.87614786e+00 -5.45415368e+00 -8.46055713e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +137 1.10539569e-06 8.42313899e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-1.55471151e-01 3.65848047e-01 -8.97493453e-03 ! x y z +-9.20044180e+00 -3.87411273e+00 -4.84829815e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +138 1.10539569e-06 6.72600246e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +2.87375637e-01 -1.36801833e-01 -1.72137474e-02 ! x y z +4.76338219e+00 1.00717170e+01 2.97994928e-03 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +139 1.10539569e-06 1.02461717e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +2.70166209e-01 -4.01549931e-01 6.36091815e-02 ! x y z +7.45419134e+00 4.96228856e+00 -6.59900898e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +140 1.10539569e-06 6.87840289e-04 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +1.61307437e-01 -2.72164290e-01 8.71883296e-02 ! x y z +8.60206869e+00 6.06917549e+00 2.98663214e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +141 1.10539569e-06 3.92140957e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-1.78539217e+00 5.34215902e-01 -1.20626554e-01 ! x y z +-1.35880150e+00 -4.33539223e+00 6.63369806e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +142 1.10539569e-06 2.70800787e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-2.31436788e-01 5.48162971e-01 1.64734173e-02 ! x y z +-7.51357402e+00 -3.16907615e+00 -1.32982328e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +143 1.10539569e-06 2.04544912e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +2.94940717e-01 -3.37625386e-01 -4.75480276e-02 ! x y z +6.93658760e+00 6.20070236e+00 -1.01079366e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +144 1.10539569e-06 6.37587428e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +9.71735603e-01 -9.61566886e-01 3.24968572e-01 ! x y z +3.81159593e+00 3.54522020e+00 -1.00291449e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +145 1.10539569e-06 2.08933536e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +1.75759753e-01 4.21380582e-01 6.28003104e-02 ! x y z +-8.52008102e+00 3.47130251e+00 9.83757295e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +146 1.10539569e-06 1.50397186e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-1.39588743e-02 -3.30180335e-01 -1.05230287e-02 ! x y z +1.07866352e+01 -4.97967898e-01 1.76757426e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +147 1.10539569e-06 3.38562140e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-7.29920730e-01 5.89061070e-02 -1.20920053e-01 ! x y z +-7.74235710e-01 -7.10977778e+00 1.52865443e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +148 1.10539569e-06 2.32741739e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +4.96020721e-01 7.20447253e-02 -1.09717020e-01 ! x y z +-2.02019828e+00 7.69560863e+00 -3.69254498e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +149 1.10539569e-06 2.12332437e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-4.28791847e-01 -1.88187724e-01 1.60873382e-02 ! x y z +3.57426531e+00 -8.26404401e+00 -1.76157927e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +150 1.10539569e-06 1.76485902e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-3.55182279e-01 1.52620292e-01 -6.22833990e-02 ! x y z +-3.88412930e+00 -9.19453465e+00 -7.37459129e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +151 1.10539569e-06 1.57284431e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-3.47785192e-01 9.69744008e-03 -5.97342340e-03 ! x y z +-3.78784685e-01 -1.06242178e+01 1.68422812e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +152 1.10539569e-06 5.30159037e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +2.29951992e-01 1.09612807e+00 -3.27460884e-01 ! x y z +-5.22124087e+00 1.65375984e+00 1.97215321e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +153 1.10539569e-06 2.55861101e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-5.21007349e-02 5.32952897e-01 -1.70855331e-01 ! x y z +-8.35827288e+00 -7.84724150e-01 2.96312578e-02 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +154 1.10539569e-06 7.10383113e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +-5.72959788e-01 -1.44639128e+00 -1.28014693e-01 ! x y z +4.55403004e+00 -1.72466270e+00 -1.28754288e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +155 1.10539569e-06 1.36743334e-03 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +2.14648375e-01 2.10911522e-01 -9.00355256e-03 ! x y z +-7.51711446e+00 7.37660713e+00 -4.51391831e+00 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +156 1.10539569e-06 2.65261394e-02 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +5.50228741e-02 3.86702728e-01 2.53976723e-02 ! x y z +-9.89354846e+00 1.39418207e+00 5.42336207e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot +157 1.10539569e-06 4.92529404e-02 ! ID / G*Mass / Rhill +1.09799198e-05 ! Radius +1.00902512e+00 -1.88090001e-01 3.31281617e-01 ! x y z +1.00573195e+00 5.95735671e+00 3.15059243e-01 ! vx vy vz +4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip +0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot diff --git a/examples/symba_chambers_2013/savestate2/sun_MsunAUYR.in b/examples/symba_chambers_2013/savestate2/sun_MsunAUYR.in new file mode 100644 index 000000000..ceb04eea1 --- /dev/null +++ b/examples/symba_chambers_2013/savestate2/sun_MsunAUYR.in @@ -0,0 +1,7 @@ +0 ! id +39.476926408897626 ! G*Mass +0.004650467260962157 ! Radius +0.0 !4.7535806948127355e-12 ! J2 +0.0 !-2.2473967953572827e-18 ! J4 +0.0 0.0 0.07 ! Principle axes moments of inertia +11.2093063 -38.75937204 82.25088158 ! Rotation vector (rad/TU) diff --git a/examples/symba_chambers_2013/savestate2/tp.in b/examples/symba_chambers_2013/savestate2/tp.in new file mode 100644 index 000000000..573541ac9 --- /dev/null +++ b/examples/symba_chambers_2013/savestate2/tp.in @@ -0,0 +1 @@ +0 diff --git a/examples/symba_swifter_comparison/1pl_1pl_encounter/swiftest_vs_swifter.ipynb b/examples/symba_swifter_comparison/1pl_1pl_encounter/swiftest_vs_swifter.ipynb index 79543cb09..6c5bc45e4 100644 --- a/examples/symba_swifter_comparison/1pl_1pl_encounter/swiftest_vs_swifter.ipynb +++ b/examples/symba_swifter_comparison/1pl_1pl_encounter/swiftest_vs_swifter.ipynb @@ -81,8 +81,8 @@ { "data": { "text/plain": [ - "[,\n", - " ]" + "[,\n", + " ]" ] }, "execution_count": 6, @@ -91,7 +91,7 @@ }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -106,1440 +106,6 @@ "swiftdiff['vx'].plot.line(x=\"time (y)\")" ] }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'vx' (time (y): 221)>\n",
-       "array([ 0.0000000e+00,  0.0000000e+00,  0.0000000e+00,  0.0000000e+00,\n",
-       "        0.0000000e+00,  0.0000000e+00,  0.0000000e+00,  0.0000000e+00,\n",
-       "        0.0000000e+00,  0.0000000e+00,  0.0000000e+00,  0.0000000e+00,\n",
-       "        0.0000000e+00,  0.0000000e+00,  0.0000000e+00,  0.0000000e+00,\n",
-       "        0.0000000e+00,  0.0000000e+00,  0.0000000e+00,  0.0000000e+00,\n",
-       "        0.0000000e+00,  0.0000000e+00,  0.0000000e+00,  0.0000000e+00,\n",
-       "        0.0000000e+00,  0.0000000e+00,  0.0000000e+00,  0.0000000e+00,\n",
-       "        0.0000000e+00,  0.0000000e+00,  0.0000000e+00,  0.0000000e+00,\n",
-       "        0.0000000e+00,  0.0000000e+00,  0.0000000e+00,  0.0000000e+00,\n",
-       "        0.0000000e+00,  0.0000000e+00,  0.0000000e+00,  0.0000000e+00,\n",
-       "        0.0000000e+00,  0.0000000e+00,  0.0000000e+00,  0.0000000e+00,\n",
-       "        0.0000000e+00,  0.0000000e+00,  0.0000000e+00,  0.0000000e+00,\n",
-       "        0.0000000e+00,  0.0000000e+00,  0.0000000e+00,  0.0000000e+00,\n",
-       "        0.0000000e+00,  0.0000000e+00,  0.0000000e+00,  0.0000000e+00,\n",
-       "        0.0000000e+00,  0.0000000e+00,  0.0000000e+00,  0.0000000e+00,\n",
-       "        0.0000000e+00,  0.0000000e+00,  0.0000000e+00,  0.0000000e+00,\n",
-       "        0.0000000e+00,  0.0000000e+00,  0.0000000e+00,  0.0000000e+00,\n",
-       "        0.0000000e+00,  0.0000000e+00,  0.0000000e+00,  0.0000000e+00,\n",
-       "        0.0000000e+00,  0.0000000e+00,  0.0000000e+00,  0.0000000e+00,\n",
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"cell_type": "code", "execution_count": null, diff --git a/examples/symba_swifter_comparison/8pl_16tp_encounters/swiftest_symba_vs_swifter_symba.ipynb b/examples/symba_swifter_comparison/8pl_16tp_encounters/swiftest_symba_vs_swifter_symba.ipynb index 76094351b..dec0bb58b 100644 --- a/examples/symba_swifter_comparison/8pl_16tp_encounters/swiftest_symba_vs_swifter_symba.ipynb +++ b/examples/symba_swifter_comparison/8pl_16tp_encounters/swiftest_symba_vs_swifter_symba.ipynb @@ -163,7 +163,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", "text/plain": [ "
" ] @@ -587,28 +587,18 @@ " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", - "
<xarray.DataArray 'px' (id: 16)>\n",
-       "array([ 0.0000000e+00,  0.0000000e+00,  4.4408921e-16,  0.0000000e+00,\n",
-       "        0.0000000e+00, -4.4408921e-16,  4.4408921e-16,  0.0000000e+00,\n",
-       "        0.0000000e+00,  0.0000000e+00,  0.0000000e+00,  0.0000000e+00,\n",
-       "        0.0000000e+00,  0.0000000e+00,  0.0000000e+00,  0.0000000e+00])\n",
+       "
<xarray.DataArray 'px' (id: 8)>\n",
+       "array([0., 0., 0., 0., 0., 0., 0., 0.])\n",
        "Coordinates:\n",
-       "  * id       (id) int64 101 102 103 104 105 106 107 ... 111 112 113 114 115 116\n",
-       "    time     float64 110.0
" + " * id (id) int64 1 2 3 4 5 6 7 8\n", + " time float64 11.0
" ], "text/plain": [ - "\n", - "array([ 0.0000000e+00, 0.0000000e+00, 4.4408921e-16, 0.0000000e+00,\n", - " 0.0000000e+00, -4.4408921e-16, 4.4408921e-16, 0.0000000e+00,\n", - " 0.0000000e+00, 0.0000000e+00, 0.0000000e+00, 0.0000000e+00,\n", - " 0.0000000e+00, 0.0000000e+00, 0.0000000e+00, 0.0000000e+00])\n", + "\n", + "array([0., 0., 0., 0., 0., 0., 0., 0.])\n", "Coordinates:\n", - " * id (id) int64 101 102 103 104 105 106 107 ... 111 112 113 114 115 116\n", - " time float64 110.0" + " * id (id) int64 1 2 3 4 5 6 7 8\n", + " time float64 11.0" ] }, "execution_count": 13, @@ -617,7 +607,7 @@ } ], "source": [ - "swiftdiff['px'].sel(id=tpidx).isel(time=10)" + "swiftdiff['px'].sel(id=plidx).isel(time=1)" ] }, { diff --git a/examples/symba_swifter_comparison/mars_disk/param.swifter.in b/examples/symba_swifter_comparison/mars_disk/param.swifter.in index 4bdc100aa..79e415a10 100644 --- a/examples/symba_swifter_comparison/mars_disk/param.swifter.in +++ b/examples/symba_swifter_comparison/mars_disk/param.swifter.in @@ -1,5 +1,5 @@ T0 0.0 -TSTOP 3000.0 +TSTOP 4200.0 DT 600.0 PL_IN pl.swifter.in TP_IN tp.in diff --git a/examples/symba_swifter_comparison/mars_disk/param.swiftest.in b/examples/symba_swifter_comparison/mars_disk/param.swiftest.in index 8427450f7..26da39092 100644 --- a/examples/symba_swifter_comparison/mars_disk/param.swiftest.in +++ b/examples/symba_swifter_comparison/mars_disk/param.swiftest.in @@ -1,6 +1,6 @@ !Parameter file for the SyMBA-RINGMOONS test T0 0.0 -TSTOP 3000.0 +TSTOP 4200.0 DT 600.0 PL_IN pl.swiftest.in TP_IN tp.in @@ -24,7 +24,7 @@ BIG_DISCARD no RHILL_PRESENT yes GMTINY 1000.0 ENERGY yes -FRAGMENTATION yes +FRAGMENTATION no ROTATION yes MU2KG 1.0 DU2M 1.0 diff --git a/examples/symba_swifter_comparison/mars_disk/swiftest_vs_swifter.ipynb b/examples/symba_swifter_comparison/mars_disk/swiftest_vs_swifter.ipynb index 960e37a53..96c456367 100644 --- a/examples/symba_swifter_comparison/mars_disk/swiftest_vs_swifter.ipynb +++ b/examples/symba_swifter_comparison/mars_disk/swiftest_vs_swifter.ipynb @@ -21,9 +21,9 @@ "output_type": "stream", "text": [ "Reading Swifter file param.swifter.in\n", - "Reading in time 2.520e+03\n", + "Reading in time 4.200e+03\n", "Creating Dataset\n", - "Successfully converted 43 output frames.\n", + "Successfully converted 8 output frames.\n", "Swifter simulation data stored as xarray DataSet .ds\n" ] } @@ -43,9 +43,9 @@ "output_type": "stream", "text": [ "Reading Swiftest file param.swiftest.in\n", - "Reading in time 2.520e+03\n", + "Reading in time 4.200e+03\n", "Creating Dataset\n", - "Successfully converted 43 output frames.\n", + "Successfully converted 8 output frames.\n", "\n", "Adding particle info to Dataset\n", "Swiftest simulation data stored as xarray DataSet .ds\n" @@ -80,7 +80,7 @@ }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -109,16 +109,16 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ - "last = swiftdiff.isel(time=-2)" + "last = swiftdiff.isel(time=1)" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ @@ -127,7 +127,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -485,44 +485,429 @@ " fill: currentColor;\n", "}\n", "
<xarray.Dataset>\n",
-       "Dimensions:  (id: 1)\n",
+       "Dimensions:  ()\n",
        "Coordinates:\n",
-       "  * id       (id) float64 85.0\n",
-       "    time     float64 2.46e+03\n",
+       "    id       float64 1.13e+03\n",
+       "    time     float64 600.0\n",
        "Data variables:\n",
-       "    GMass    (id) float64 0.0\n",
-       "    Radius   (id) float64 0.0\n",
-       "    px       (id) float64 0.0\n",
-       "    py       (id) float64 0.0\n",
-       "    pz       (id) float64 -1.819e-12\n",
-       "    vx       (id) float64 0.0\n",
-       "    vy       (id) float64 0.0\n",
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Because we're making a copy of symba_pl with the excludes/fragments appended, we need to deallocate the - ! big k_plpl array and recreate it when we're done, otherwise we run the risk of blowing up the memory by - ! allocating two of these ginormous arrays simulteouously. This is not particularly efficient, but as this - ! subroutine should be called relatively infrequently, it shouldn't matter too much. ! Build the internal planet list out of the non-excluded bodies and optionally with fragments appended. This ! will get passed to the energy calculation subroutine so that energy is computed exactly the same way is it @@ -447,34 +443,23 @@ subroutine calculate_system_energy(linclude_fragments) elsewhere tmpsys%pl%status(1:npl_new) = ACTIVE end where - - select type(plwksp => tmpsys%pl) - class is (symba_pl) - select type(param) - class is (symba_parameters) - if (linclude_fragments) call add_fragments_to_tmpsys() ! Adds or updates the fragment properties to their current values - plwksp%nplm = count(plwksp%Gmass > param%Gmtiny / mscale) - end select - end select - + + + ! Because we're making a copy of symba_pl with the excludes/fragments appended, we need to deallocate the + ! big k_plpl array and recreate it when we're done, otherwise we run the risk of blowing up the memory by + ! allocating two of these ginormous arrays simulteouously. This is not particularly efficient, but as this + ! subroutine should be called relatively infrequently, it shouldn't matter too much. lk_plpl = allocated(pl%k_plpl) if (lk_plpl) deallocate(pl%k_plpl) - call tmpsys%pl%eucl_index() + call tmpsys%pl%index(param) call tmpsys%get_energy_and_momentum(param) ! Restore the big array deallocate(tmpsys%pl%k_plpl) - select type(pl) - class is (symba_pl) - select type(param) - class is (symba_parameters) - pl%nplm = count(pl%Gmass > param%Gmtiny) - end select - end select - - if (lk_plpl) call pl%eucl_index() + + if (lk_plpl) call pl%index(param) ! Calculate the current fragment energy and momentum balances if (linclude_fragments) then diff --git a/src/helio/helio_util.f90 b/src/helio/helio_util.f90 new file mode 100644 index 000000000..3b5ee6116 --- /dev/null +++ b/src/helio/helio_util.f90 @@ -0,0 +1,21 @@ +submodule(helio_classes) s_helio_eucl + use swiftest +contains + + module subroutine helio_util_index_eucl_plpl(self, param) + !! author: David A. Minton + !! + !! Wrapper for the indexing method for WHM massive bodies. Sorts the massive bodies by heliocentric distance and then flattens the pl-pl upper triangular matrix + implicit none + ! Arguments + class(helio_pl), intent(inout) :: self !! Helio massive body object + class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters + + call self%sort("mass", ascending=.false.) + call util_index_eucl_plpl(self, param) + + return + end subroutine helio_util_index_eucl_plpl + +end submodule s_helio_eucl + diff --git a/src/modules/helio_classes.f90 b/src/modules/helio_classes.f90 index efa326a0f..156f0ea50 100644 --- a/src/modules/helio_classes.f90 +++ b/src/modules/helio_classes.f90 @@ -38,6 +38,7 @@ module helio_classes contains procedure :: drift => helio_drift_pl !! Method for Danby drift in Democratic Heliocentric coordinates procedure :: lindrift => helio_drift_linear_pl !! Method for linear drift of massive bodies due to barycentric momentum of Sun + procedure :: index => helio_util_index_eucl_plpl !! Sets up the (i, j) -> k indexing used for the single-loop blocking Euclidean distance matrix procedure :: accel_gr => helio_gr_kick_getacch_pl !! Acceleration term arising from the post-Newtonian correction procedure :: gr_pos_kick => helio_gr_p4_pl !! Position kick due to p**4 term in the post-Newtonian correction procedure :: accel => helio_kick_getacch_pl !! Compute heliocentric accelerations of massive bodies @@ -212,6 +213,12 @@ module subroutine helio_step_tp(self, system, param, t, dt) real(DP), intent(in) :: t !! Current simulation time real(DP), intent(in) :: dt !! Stepsizee end subroutine helio_step_tp + + module subroutine helio_util_index_eucl_plpl(self, param) + implicit none + class(helio_pl), intent(inout) :: self !! Helio massive body object + class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters + end subroutine helio_util_index_eucl_plpl end interface end module helio_classes diff --git a/src/modules/swiftest_classes.f90 b/src/modules/swiftest_classes.f90 index 1ee3bdf80..6a85bba3e 100644 --- a/src/modules/swiftest_classes.f90 +++ b/src/modules/swiftest_classes.f90 @@ -216,7 +216,7 @@ module swiftest_classes ! Massive body-specific concrete methods ! These are concrete because they are the same implemenation for all integrators procedure :: discard => discard_pl !! Placeholder method for discarding massive bodies - procedure :: eucl_index => eucl_dist_index_plpl !! Sets up the (i, j) -> k indexing used for the single-loop blocking Euclidean distance matrix + procedure :: index => util_index_eucl_plpl !! Sets up the (i, j) -> k indexing used for the single-loop blocking Euclidean distance matrix procedure :: accel_int => kick_getacch_int_pl !! Compute direct cross (third) term heliocentric accelerations of massive bodies procedure :: accel_obl => obl_acc_pl !! Compute the barycentric accelerations of bodies due to the oblateness of the central body procedure :: setup => setup_pl !! A base constructor that sets the number of bodies and allocates and initializes all arrays @@ -452,9 +452,10 @@ module pure elemental subroutine drift_one(mu, px, py, pz, vx, vy, vz, dt, iflag integer(I4B), intent(out) :: iflag !! iflag : error status flag for Danby drift (0 = OK, nonzero = ERROR) end subroutine drift_one - module subroutine eucl_dist_index_plpl(self) + module subroutine util_index_eucl_plpl(self, param) implicit none - class(swiftest_pl), intent(inout) :: self !! Swiftest massive body object + class(swiftest_pl), intent(inout) :: self !! Swiftest massive body object + class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters end subroutine module subroutine fragmentation_initialize(system, param, family, x, v, L_spin, Ip, mass, radius, & diff --git a/src/modules/symba_classes.f90 b/src/modules/symba_classes.f90 index f2b9134d8..cf809453b 100644 --- a/src/modules/symba_classes.f90 +++ b/src/modules/symba_classes.f90 @@ -84,6 +84,7 @@ module symba_classes type(symba_particle_info), dimension(:), allocatable :: info contains procedure :: make_family => symba_collision_make_family_pl !! When a single body is involved in more than one collision in a single step, it becomes part of a family + procedure :: index => symba_util_index_eucl_plpl !! Sets up the (i, j) -> k indexing used for the single-loop blocking Euclidean distance matrix procedure :: discard => symba_discard_pl !! Process massive body discards procedure :: drift => symba_drift_pl !! Method for Danby drift in Democratic Heliocentric coordinates. Sets the mask to the current recursion level procedure :: encounter_check => symba_encounter_check_pl !! Checks if massive bodies are going through close encounters with each other @@ -352,6 +353,12 @@ module function symba_collision_casesupercatastrophic(system, param, family, x, integer(I4B) :: status !! Status flag assigned to this outcome end function symba_collision_casesupercatastrophic + module subroutine symba_util_index_eucl_plpl(self, param) + implicit none + class(symba_pl), intent(inout) :: self !! SyMBA massive body object + class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters + end subroutine symba_util_index_eucl_plpl + module subroutine symba_io_write_discard(self, param) use swiftest_classes, only : swiftest_parameters implicit none diff --git a/src/modules/whm_classes.f90 b/src/modules/whm_classes.f90 index 0b9caebcc..1b8d13b45 100644 --- a/src/modules/whm_classes.f90 +++ b/src/modules/whm_classes.f90 @@ -34,6 +34,7 @@ module whm_classes procedure :: j2h => whm_coord_j2h_pl !! Convert position and velcoity vectors from Jacobi to helliocentric coordinates procedure :: vh2vj => whm_coord_vh2vj_pl !! Convert velocity vectors from heliocentric to Jacobi coordinates procedure :: drift => whm_drift_pl !! Loop through massive bodies and call Danby drift routine to jacobi coordinates + procedure :: index => whm_util_index_eucl_plpl !! Sets up the (i, j) -> k indexing used for the single-loop blocking Euclidean distance matrix procedure :: accel_gr => whm_gr_kick_getacch_pl !! Acceleration term arising from the post-Newtonian correction procedure :: gr_pos_kick => whm_gr_p4_pl !! Position kick due to p**4 term in the post-Newtonian correction procedure :: accel => whm_kick_getacch_pl !! Compute heliocentric accelerations of massive bodies @@ -108,6 +109,13 @@ module subroutine whm_drift_pl(self, system, param, dt) real(DP), intent(in) :: dt !! Stepsize end subroutine whm_drift_pl + module subroutine whm_util_index_eucl_plpl(self, param) + use swiftest_classes, only : swiftest_parameters + implicit none + class(whm_pl), intent(inout) :: self !! WHM massive body object + class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters + end subroutine whm_util_index_eucl_plpl + !> Get heliocentric accelration of massive bodies module subroutine whm_kick_getacch_pl(self, system, param, t, lbeg) use swiftest_classes, only : swiftest_cb, swiftest_parameters diff --git a/src/python/orbel.f90 b/src/python_bindings/orbel.f90 similarity index 87% rename from src/python/orbel.f90 rename to src/python_bindings/orbel.f90 index 4dd26a68d..59f24e8b2 100644 --- a/src/python/orbel.f90 +++ b/src/python_bindings/orbel.f90 @@ -4,7 +4,7 @@ module orbel public :: xv2el contains pure elemental subroutine xv2el(mu, px, py, pz, vx, vy, vz, a, e, inc, capom, omega, capm) - use module_interfaces, only : orbel_xv2el + use swiftest_classes, only : orbel_xv2el implicit none ! Arguments real*8, intent(in) :: mu, px, py, pz, vx, vy, vz @@ -26,7 +26,7 @@ pure elemental subroutine xv2el(mu, px, py, pz, vx, vy, vz, a, e, inc, capom, om real*8, dimension(3) :: x, v x = [px, py, pz] v = [vx, vy, vz] - call orbel_xv2el(x, v, mu, a, e, inc, capom, omega, capm) + call orbel_xv2el(mu, x(:), v(:), a, e, inc, capom, omega, capm) return end subroutine xv2el end module orbel \ No newline at end of file diff --git a/src/setup/setup.f90 b/src/setup/setup.f90 index 049a0acf3..4a253a263 100644 --- a/src/setup/setup.f90 +++ b/src/setup/setup.f90 @@ -145,7 +145,7 @@ module subroutine setup_initialize_system(self, param) call self%pl%el2xv(self%cb) call self%tp%el2xv(self%cb) end if - call self%pl%eucl_index() + call self%pl%index(param) if (.not.param%lrhill_present) call self%pl%set_rhill(self%cb) self%pl%lfirst = param%lfirstkick self%tp%lfirst = param%lfirstkick diff --git a/src/symba/symba_collision.f90 b/src/symba/symba_collision.f90 index 5ba08558c..4ca907fe6 100644 --- a/src/symba/symba_collision.f90 +++ b/src/symba/symba_collision.f90 @@ -901,7 +901,6 @@ subroutine symba_collision_mergeaddsub(system, param, family, id_frag, Ip_frag, !Copy over or set integration parameters for new bodies plnew%lcollision(1:nfrag) = .false. plnew%ldiscard(1:nfrag) = .false. - plnew%lmtiny(1:nfrag) = plnew%Gmass(1:nfrag) > param%GMTINY plnew%levelg(1:nfrag) = pl%levelg(ibiggest) plnew%levelm(1:nfrag) = pl%levelm(ibiggest) diff --git a/src/symba/symba_setup.f90 b/src/symba/symba_setup.f90 index 67f8063b5..166f6e804 100644 --- a/src/symba/symba_setup.f90 +++ b/src/symba/symba_setup.f90 @@ -77,19 +77,13 @@ module subroutine symba_setup_initialize_system(self, param) call system%pltpenc_list%setup(0) call system%plplenc_list%setup(0) call system%plplcollision_list%setup(0) - select type(pl => system%pl) - class is (symba_pl) - call pl%sort("mass", ascending=.false.) - select type(param) - class is (symba_parameters) - pl%lmtiny(:) = pl%Gmass(:) > param%GMTINY - pl%nplm = count(pl%lmtiny(:)) - if (param%lrestart) then - call symba_io_read_particle(system, param) - else - call symba_setup_initialize_particle_info(system, param) - end if - end select + select type(param) + class is (symba_parameters) + if (param%lrestart) then + call symba_io_read_particle(system, param) + else + call symba_setup_initialize_particle_info(system, param) + end if end select end associate diff --git a/src/symba/symba_util.f90 b/src/symba/symba_util.f90 index 710936001..05b4d9aa9 100644 --- a/src/symba/symba_util.f90 +++ b/src/symba/symba_util.f90 @@ -208,7 +208,7 @@ module subroutine symba_util_copy_encounter(self, source) return end subroutine symba_util_copy_encounter - + module subroutine symba_util_fill_arr_info(keeps, inserts, lfill_list) !! author: David A. Minton @@ -320,6 +320,52 @@ module subroutine symba_util_fill_tp(self, inserts, lfill_list) end subroutine symba_util_fill_tp + module subroutine symba_util_index_eucl_plpl(self, param) + !! author: Jacob R. Elliott and David A. Minton + !! + !! Turns i,j indices into k index for use in the Euclidean distance matrix. This also sets the lmtiny flag and computes the + !! number of interactions that excludes semi-interacting bodies with each other (Gmass < GMTINY). + !! This method will also sort the bodies in descending order by Mass + !! + !! Reference: + !! + !! Mélodie Angeletti, Jean-Marie Bonny, Jonas Koko. Parallel Euclidean distance matrix computation on big datasets *. + !! 2019. hal-0204751 + implicit none + ! Arguments + class(symba_pl), intent(inout) :: self !! SyMBA massive body object + class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters + ! Internals + integer(I8B) :: i, j, counter, npl, nplm + + associate(pl => self, nplpl => self%nplpl, nplplm => self%nplplm) + npl = int(self%nbody, kind=I8B) + call pl%sort("mass", ascending=.false.) + + select type(param) + class is (symba_parameters) + pl%lmtiny(1:npl) = pl%Gmass(1:npl) < param%GMTINY + end select + pl%nplm = count(.not. pl%lmtiny(1:npl)) + + nplpl = (npl * (npl - 1) / 2) ! number of entries in a strict lower triangle, npl x npl, minus first column + nplplm = (nplm * (npl - 1) / 2) ! number of entries in a strict lower triangle, npl x npl, minus first column + if (allocated(self%k_plpl)) deallocate(self%k_plpl) ! Reset the index array if it's been set previously + allocate(self%k_plpl(2, nplpl)) + do i = 1, npl + counter = (i - 1_I8B) * npl - i * (i - 1_I8B) / 2_I8B + 1_I8B + do j = i + 1_I8B, npl + self%k_plpl(1, counter) = i + self%k_plpl(2, counter) = j + counter = counter + 1_I8B + end do + end do + end associate + + return + end subroutine symba_util_index_eucl_plpl + + module subroutine symba_util_peri_pl(self, system, param) !! author: David A. Minton !! @@ -462,18 +508,14 @@ module subroutine symba_util_rearray_pl(self, system, param) pl%status(1:npl) = ACTIVE pl%ldiscard(1:npl) = .false. pl%lcollision(1:npl) = .false. - pl%lmtiny(1:npl) = pl%Gmass(1:npl) > param%GMTINY pl%lmask(1:npl) = .true. elsewhere pl%ldiscard(1:npl) = .true. pl%lmask(1:npl) = .false. end where - pl%nplm = count(pl%lmtiny(1:npl) .and. pl%lmask(1:npl)) - ! Reindex the new list of bodies - call pl%sort("mass", ascending=.false.) - call pl%eucl_index() + call pl%index(param) ! Reset the kinship trackers pl%kin(1:npl)%nchild = 0 diff --git a/src/eucl/eucl.f90 b/src/util/util_index.f90 similarity index 73% rename from src/eucl/eucl.f90 rename to src/util/util_index.f90 index af1646e4c..f852a492a 100644 --- a/src/eucl/eucl.f90 +++ b/src/util/util_index.f90 @@ -1,8 +1,8 @@ -submodule (swiftest_classes) s_eucl +submodule (swiftest_classes) s_util_index use swiftest contains - module subroutine eucl_dist_index_plpl(self) + module subroutine util_index_eucl_plpl(self, param) !! author: Jacob R. Elliott and David A. Minton !! !! Turns i,j indices into k index for use in the Euclidean distance matrix @@ -13,13 +13,14 @@ module subroutine eucl_dist_index_plpl(self) !! 2019. hal-0204751 implicit none ! Arguments - class(swiftest_pl), intent(inout) :: self !! Swiftest massive body objec + class(swiftest_pl), intent(inout) :: self !! Swiftest massive body object + class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters ! Internals integer(I8B) :: i, j, counter, npl npl = int(self%nbody, kind=I8B) associate(nplpl => self%nplpl) - nplpl = (npl * (npl - 1) / 2) ! number of entries in a strict lower triangle, nplm x npl, minus first column + nplpl = (npl * (npl - 1) / 2) ! number of entries in a strict lower triangle, npl x npl, minus first column if (allocated(self%k_plpl)) deallocate(self%k_plpl) ! Reset the index array if it's been set previously allocate(self%k_plpl(2, nplpl)) do i = 1, npl @@ -33,6 +34,6 @@ module subroutine eucl_dist_index_plpl(self) end associate return - end subroutine eucl_dist_index_plpl + end subroutine util_index_eucl_plpl - end submodule s_eucl +end submodule s_util_index diff --git a/src/util/util_resize.f90 b/src/util/util_resize.f90 index 80d87209c..1dee5fdb3 100644 --- a/src/util/util_resize.f90 +++ b/src/util/util_resize.f90 @@ -270,7 +270,6 @@ module subroutine util_resize_pl(self, nnew) call util_resize(self%k2, nnew) call util_resize(self%Q, nnew) call util_resize(self%tlag, nnew) - call self%eucl_index() return end subroutine util_resize_pl diff --git a/src/util/util_spill.f90 b/src/util/util_spill.f90 index 954406d95..77e00cf66 100644 --- a/src/util/util_spill.f90 +++ b/src/util/util_spill.f90 @@ -39,6 +39,7 @@ module subroutine util_spill_arr_char_string(keeps, discards, lspill_list, ldest return end subroutine util_spill_arr_char_string + module subroutine util_spill_arr_DP(keeps, discards, lspill_list, ldestructive) !! author: David A. Minton @@ -78,6 +79,7 @@ module subroutine util_spill_arr_DP(keeps, discards, lspill_list, ldestructive) return end subroutine util_spill_arr_DP + module subroutine util_spill_arr_DPvec(keeps, discards, lspill_list, ldestructive) !! author: David A. Minton !! @@ -120,6 +122,7 @@ module subroutine util_spill_arr_DPvec(keeps, discards, lspill_list, ldestructiv return end subroutine util_spill_arr_DPvec + module subroutine util_spill_arr_I4B(keeps, discards, lspill_list, ldestructive) !! author: David A. Minton !! @@ -157,6 +160,7 @@ module subroutine util_spill_arr_I4B(keeps, discards, lspill_list, ldestructive) return end subroutine util_spill_arr_I4B + module subroutine util_spill_arr_logical(keeps, discards, lspill_list, ldestructive) !! author: David A. Minton diff --git a/src/whm/whm_setup.f90 b/src/whm/whm_setup.f90 index ad44fbefb..3510769a7 100644 --- a/src/whm/whm_setup.f90 +++ b/src/whm/whm_setup.f90 @@ -79,7 +79,6 @@ module subroutine whm_setup_initialize_system(self, param) call setup_initialize_system(self, param) ! First we need to make sure that the massive bodies are sorted by heliocentric distance before computing jacobies call util_set_ir3h(self%pl) - call self%pl%sort("ir3h", ascending=.false.) ! Make sure that the discard list gets allocated initially call self%tp_discards%setup(0, param) diff --git a/src/whm/whm_util.f90 b/src/whm/whm_util.f90 index 537866d0e..6689e78cb 100644 --- a/src/whm/whm_util.f90 +++ b/src/whm/whm_util.f90 @@ -67,6 +67,22 @@ module subroutine whm_util_fill_pl(self, inserts, lfill_list) end subroutine whm_util_fill_pl + module subroutine whm_util_index_eucl_plpl(self, param) + !! author: David A. Minton + !! + !! Wrapper for the indexing method for WHM massive bodies. Sorts the massive bodies by heliocentric distance and then flattens the pl-pl upper triangular matrix + implicit none + ! Arguments + class(whm_pl), intent(inout) :: self !! WHM massive body object + class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters + + call self%sort("ir3h", ascending=.false.) + call util_index_eucl_plpl(self, param) + + return + end subroutine whm_util_index_eucl_plpl + + module subroutine whm_util_resize_pl(self, nnew) !! author: David A. Minton !! From 45c61b48a28a656fa16931656140957845dfe4eb Mon Sep 17 00:00:00 2001 From: David A Minton Date: Fri, 20 Aug 2021 09:53:22 -0400 Subject: [PATCH 2/6] Removed folder used during testing --- .../symba_chambers_2013/savestate2/param.in | 32 - .../savestate2/pl_chambers_2013.in | 937 ------------------ .../savestate2/sun_MsunAUYR.in | 7 - examples/symba_chambers_2013/savestate2/tp.in | 1 - 4 files changed, 977 deletions(-) delete mode 100644 examples/symba_chambers_2013/savestate2/param.in delete mode 100644 examples/symba_chambers_2013/savestate2/pl_chambers_2013.in delete mode 100644 examples/symba_chambers_2013/savestate2/sun_MsunAUYR.in delete mode 100644 examples/symba_chambers_2013/savestate2/tp.in diff --git a/examples/symba_chambers_2013/savestate2/param.in b/examples/symba_chambers_2013/savestate2/param.in deleted file mode 100644 index 2e263e1b5..000000000 --- a/examples/symba_chambers_2013/savestate2/param.in +++ /dev/null @@ -1,32 +0,0 @@ -! -! Parameter file for Chambers 2013 in units of Msun, AU, year -! -T0 0.0e0 -TSTOP 1e8 ! simulation length in years -DT 0.016 ! stepsize in years -CB_IN sun_MsunAUYR.in -PL_IN pl_chambers_2013.in -TP_IN tp.in -IN_TYPE ASCII -ISTEP_OUT 625 ! output cadence -ISTEP_DUMP 625 ! system dump cadence -BIN_OUT bin.dat -PARTICLE_OUT particle.dat -OUT_TYPE REAL8 ! double precision real output -OUT_FORM EL ! osculating element output -OUT_STAT REPLACE -CHK_CLOSE yes ! check for planetary close encounters -CHK_RMAX 100000.0 ! discard outside of -EXTRA_FORCE no ! no extra user-defined forces -BIG_DISCARD no ! output all planets if anything discarded -RHILL_PRESENT yes ! Hill's sphere radii in input file -MU2KG 1.98847e30 ! (M_sun-> kg) -DU2M 1.495979e11 ! distance unit to meters (AU --> m) -TU2S 3.15569259747e7 ! time unit to seconds (years --> seconds) -GMTINY 1e-10 -ENERGY yes -ENERGY_OUT energy.dat -ROTATION yes -FRAGMENTATION yes -DISCARD_OUT discard.out -SEED 8 12261555 871132 92734722 21132443 36344777 4334443 219291656 3848566 diff --git a/examples/symba_chambers_2013/savestate2/pl_chambers_2013.in b/examples/symba_chambers_2013/savestate2/pl_chambers_2013.in deleted file mode 100644 index 1ba4c845e..000000000 --- a/examples/symba_chambers_2013/savestate2/pl_chambers_2013.in +++ /dev/null @@ -1,937 +0,0 @@ -156 ! Solar System in unit system AU, M_sun, and years -500 3.76722155e-02 1.08899907e-02 ! ID / G*Mass / Rhill Jupiter -4.67326079e-04 ! Radius -3.46016026e+00 -3.69444209e+00 -6.20863032e-02 ! x y z -1.97779378e+00 2.01435697e+00 -5.26023669e-02 ! vx vy vz -0.0 0.0 0.2756 ! ip --81.01800465 -2388.16786145 5008.65350675 ! rot -600 1.12798314e-02 1.99069165e-02 ! ID / G*Mass / Rhill Saturn -3.89256801e-04 ! Radius -5.80057555e+00 -8.09777935e+00 -9.01449584e-02 ! x y z -1.54008846e+00 1.17938756e+00 -8.18949214e-02 ! vx vy vz -0.0 0.0 0.22 ! ip -445.81155409 381.95827345 5182.3159189 ! rot -4 1.10539569e-05 2.76930511e-03 ! ID / G*Mass / Rhill -2.36555201e-05 ! Radius -2.72988779e-01 1.29092883e+00 1.33913146e-01 ! x y z --5.30347096e+00 1.10519810e+00 4.11733597e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -5 1.10539569e-05 2.47028309e-03 ! ID / G*Mass / Rhill -2.36555201e-05 ! Radius --7.52767237e-01 -7.89903716e-01 4.41780109e-01 ! x y z -3.97724375e+00 -4.13307219e+00 -7.22805540e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -6 1.10539569e-05 1.32328966e-03 ! ID / G*Mass / Rhill -2.36555201e-05 ! Radius -6.20377608e-01 -7.87272103e-02 7.12067297e-02 ! x y z -1.02503121e+00 7.84536983e+00 -1.81237075e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -7 1.10539569e-05 9.44674456e-04 ! ID / G*Mass / Rhill -2.36555201e-05 ! Radius -6.98175547e-02 -4.40604282e-01 -6.26515066e-02 ! x y z -9.16286233e+00 1.29526313e+00 1.28292031e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -8 1.10539569e-05 2.10455183e-03 ! ID / G*Mass / Rhill -2.36555201e-05 ! Radius --7.37344424e-01 -6.59393259e-01 -3.39334297e-02 ! x y z -4.23617128e+00 -4.72560240e+00 1.90202709e-02 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -9 1.10539569e-05 7.93127033e-04 ! ID / G*Mass / Rhill -2.36555201e-05 ! Radius --3.72282885e-01 1.00137160e-02 4.74495877e-02 ! x y z --5.53222723e-02 -1.01517333e+01 1.56417032e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -10 1.10539569e-05 3.72890834e-03 ! ID / G*Mass / Rhill -2.36555201e-05 ! Radius --1.71148151e+00 4.03705975e-02 -4.41629664e-01 ! x y z --5.30815676e-01 -4.44829638e+00 1.51595205e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -11 1.10539569e-05 1.24950838e-03 ! ID / G*Mass / Rhill -2.36555201e-05 ! Radius -2.86212864e-01 5.18828229e-01 -9.65137375e-03 ! x y z --7.11468376e+00 3.99045778e+00 4.08951506e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -12 1.10539569e-05 1.29201140e-03 ! ID / G*Mass / Rhill -2.36555201e-05 ! Radius -6.01579717e-01 -1.24985784e-01 -6.68579475e-02 ! x y z -1.03137581e+00 6.97294287e+00 -3.70526296e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -13 1.10539569e-05 8.45210453e-04 ! ID / G*Mass / Rhill -2.36555201e-05 ! Radius -1.66504352e-01 3.65136786e-01 -2.37270588e-02 ! x y z --9.01075623e+00 4.10307061e+00 -1.73991242e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -14 1.10539569e-05 1.80973111e-03 ! ID / G*Mass / Rhill -2.36555201e-05 ! Radius --1.00013418e-01 8.46049108e-01 1.29409189e-01 ! x y z --6.69397403e+00 -6.88216193e-01 -6.43089317e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -15 1.10539569e-05 6.77162299e-04 ! ID / G*Mass / Rhill -2.36555201e-05 ! Radius --6.64074759e-02 -2.85943101e-01 -1.33132689e-01 ! x y z -1.04794195e+01 -3.18219029e+00 1.50287735e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -16 1.10539569e-05 2.22462802e-03 ! ID / G*Mass / Rhill -2.36555201e-05 ! Radius -6.93683497e-01 -7.97060245e-01 -1.56701341e-03 ! x y z -4.27957357e+00 3.72233196e+00 -2.27779518e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -17 1.10539569e-05 9.07412459e-04 ! ID / G*Mass / Rhill -2.36555201e-05 ! Radius --4.30243754e-01 3.92163409e-02 1.61581635e-02 ! x y z --8.96241375e-01 -9.13377010e+00 -2.60722121e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -18 1.10539569e-06 2.16228637e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --2.49171166e-01 9.89231336e-01 9.47431817e-02 ! x y z --5.97909060e+00 -1.61462871e+00 5.17955232e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -19 1.10539569e-06 2.44552162e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -1.13055691e+00 -2.73349719e-01 -8.64446048e-04 ! x y z -1.35697138e+00 5.66139385e+00 -8.67279260e-03 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -20 1.10539569e-06 2.69931846e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --7.95952391e-01 8.54202216e-01 5.12437562e-01 ! x y z --4.18257122e+00 -3.66903213e+00 -4.16936339e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -21 1.10539569e-06 3.64709598e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --1.50222087e+00 2.48717046e-01 -8.19081229e-01 ! x y z --8.04975551e-01 -4.71387035e+00 7.84362176e-02 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -22 1.10539569e-06 1.17536449e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --2.44682948e-01 -4.96503483e-01 -8.53414160e-02 ! x y z -7.40695872e+00 -3.28819700e+00 -2.14066023e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -23 1.10539569e-06 1.50460742e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -2.36805798e-01 -5.86582522e-01 3.17351611e-01 ! x y z -6.83507157e+00 3.05184627e+00 5.35881505e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -24 1.10539569e-06 2.39048166e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --3.80090550e-01 1.00147849e+00 -3.41420172e-01 ! x y z --5.59868356e+00 -1.78046309e+00 9.70115472e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -25 1.10539569e-06 2.01027356e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --7.39485525e-01 6.02196012e-01 2.65945142e-02 ! x y z --4.01389113e+00 -4.93502846e+00 -9.72482631e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -26 1.10539569e-06 3.44715330e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --4.30456826e-01 1.57570303e+00 -1.09595941e-01 ! x y z --4.64706737e+00 -1.19846831e+00 1.04119454e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -27 1.10539569e-06 1.76967616e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --7.35819630e-01 -4.18940068e-01 -5.26182368e-02 ! x y z -3.13485099e+00 -5.73938205e+00 1.82527292e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -28 1.10539569e-06 4.06342312e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --7.54229262e-01 -1.76044238e+00 -1.80128626e-01 ! x y z -4.18274269e+00 -1.75246993e+00 -1.48893698e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -29 1.10539569e-06 6.51392241e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --6.97001957e-02 -2.83866631e-01 1.02094271e-01 ! x y z -1.06859367e+01 -3.16734146e+00 -1.78495005e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -30 1.10539569e-06 1.50723858e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --3.50547968e-01 5.85483214e-01 -2.02242303e-01 ! x y z --6.51912702e+00 -3.31902976e+00 1.50673282e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -31 1.10539569e-06 9.91191586e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -5.34148347e-02 -4.67706829e-01 -4.50777179e-04 ! x y z -9.07741521e+00 1.03526094e+00 6.27189957e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -32 1.10539569e-06 1.27434773e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --5.76081124e-01 -1.72561939e-01 2.32546498e-02 ! x y z -2.26640367e+00 -7.48739107e+00 2.18424337e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -33 1.10539569e-06 1.88899665e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -2.21441400e-01 8.67808697e-01 6.09525334e-02 ! x y z --6.38752841e+00 1.69289574e+00 -5.34224727e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -34 1.10539569e-06 2.51153352e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -6.27618072e-01 -9.85796209e-01 -2.48455975e-01 ! x y z -4.57388053e+00 3.25533389e+00 -1.21335726e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -35 1.10539569e-06 1.31898109e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -3.04370616e-01 5.13132374e-01 1.83051491e-01 ! x y z --6.94545994e+00 3.58830246e+00 1.54416575e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -36 1.10539569e-06 1.31747151e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --2.72209409e-01 5.58609144e-01 -5.24341572e-02 ! x y z --7.11229047e+00 -3.50089370e+00 -8.23500441e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -37 1.10539569e-06 8.04475879e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -1.84218244e-01 3.32444349e-01 -3.37468460e-02 ! x y z --8.87199586e+00 4.71912663e+00 -1.61815818e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -38 1.10539569e-06 8.53415964e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -2.71574947e-01 2.99863851e-01 2.77485703e-02 ! x y z --7.27373701e+00 6.59527467e+00 -9.50013137e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -39 1.10539569e-06 1.54874159e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --5.42177998e-01 4.64346195e-01 -1.77247174e-01 ! x y z --4.32593022e+00 -5.71371010e+00 -1.52200642e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -40 1.10539569e-06 1.11811225e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -2.37513378e-01 4.78960335e-01 -4.18799485e-02 ! x y z --7.64314149e+00 3.80464264e+00 -4.40507044e-02 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -41 1.10539569e-06 6.46344589e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --1.17502253e-01 2.74368057e-01 6.52591009e-02 ! x y z --1.04985621e+01 -4.38785797e+00 -5.95356835e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -42 1.10539569e-06 3.14895117e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -1.08577487e+00 -1.03445606e+00 -1.55590020e-01 ! x y z -3.53014787e+00 3.59960362e+00 7.43100049e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -43 1.10539569e-06 3.30212225e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -3.85350014e-01 -1.34034680e+00 7.46972274e-01 ! x y z -4.81219105e+00 1.19508883e+00 -3.85665415e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -44 1.10539569e-06 7.23534141e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --1.13136821e-02 3.42286865e-01 -3.05898632e-02 ! x y z --1.01368906e+01 -6.23201390e-01 -3.40648593e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -45 1.10539569e-06 2.39770005e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --1.04671093e+00 1.11212978e-01 -4.33163084e-01 ! x y z --3.60007968e-01 -5.84725364e+00 -6.15822401e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -46 1.10539569e-06 3.11101805e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --1.28031558e+00 6.71820187e-01 3.13521220e-01 ! x y z --2.10656104e+00 -4.54924436e+00 1.23122282e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -47 1.10539569e-06 9.97006532e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --3.03695384e-01 -3.60967985e-01 5.51306924e-02 ! x y z -6.85056674e+00 -5.91778788e+00 -9.60485047e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -48 1.10539569e-06 7.74544738e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --3.54176241e-01 6.02822917e-02 7.63020359e-02 ! x y z --1.61729423e+00 -1.02381855e+01 4.69477979e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -49 1.10539569e-06 2.60533414e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -4.70647812e-01 -1.14442870e+00 -2.16624680e-04 ! x y z -5.22089775e+00 2.15396431e+00 6.97355593e-02 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -50 1.10539569e-06 1.73280111e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --8.47538292e-02 -7.76819569e-01 -2.57912415e-01 ! x y z -6.69507282e+00 -1.17185683e+00 1.33518772e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -51 1.10539569e-06 3.17790663e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -6.65614001e-01 -1.36216721e+00 3.04841771e-02 ! x y z -4.55635977e+00 2.26593667e+00 1.30678452e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -52 1.10539569e-06 7.23862851e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --3.31702394e-01 -9.11930665e-02 2.41707377e-02 ! x y z -2.70205684e+00 -1.02322038e+01 -1.45694907e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -53 1.10539569e-06 4.09271910e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -3.43010053e-01 1.89928569e+00 1.63915030e-01 ! x y z --4.44471826e+00 8.12964188e-01 1.91799605e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -54 1.10539569e-06 9.00526678e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --1.76279203e-01 3.69578224e-01 -1.37212342e-01 ! x y z --8.58447413e+00 -3.12914501e+00 2.65447958e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -55 1.10539569e-06 1.66875324e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --7.45616929e-01 -2.47231702e-01 -1.19477629e-01 ! x y z -2.19161600e+00 -6.68909269e+00 -1.07794911e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -56 1.10539569e-06 2.61296171e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --1.21771549e+00 8.22263396e-02 -2.28049506e-01 ! x y z --7.77955309e-01 -5.04420236e+00 2.39397114e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -57 1.10539569e-06 7.84583650e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --3.35031870e-01 -1.49752491e-01 7.21876006e-02 ! x y z -3.53139295e+00 -9.14063147e+00 -3.02347388e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -58 1.10539569e-06 8.15353611e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --3.16127731e-01 2.19457827e-01 -2.86640647e-02 ! x y z --5.75118301e+00 -8.30744977e+00 -7.52286441e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -59 1.10539569e-06 9.46502491e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -4.14567897e-01 -1.70158031e-01 -2.06385746e-02 ! x y z -3.52462324e+00 8.64965730e+00 9.71699819e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -60 1.10539569e-06 1.06023870e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -3.68326520e-01 3.43200640e-01 -3.18358134e-03 ! x y z --5.99833054e+00 6.50593164e+00 -3.52076060e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -61 1.10539569e-06 2.85747597e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -1.22743812e+00 4.54544048e-01 -3.53405167e-01 ! x y z --2.13063294e+00 4.75488906e+00 -1.41396521e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -62 1.10539569e-06 1.11156710e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --4.90230366e-01 8.52524184e-02 1.64539092e-01 ! x y z --1.33697442e+00 -8.59490437e+00 4.64492986e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -63 1.10539569e-06 7.47979433e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -3.26924952e-01 1.39246422e-01 -4.37240131e-02 ! x y z --4.02802590e+00 9.60769401e+00 9.33600395e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -64 1.10539569e-06 2.36256862e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --1.11787086e+00 1.27230662e-01 -2.97194116e-02 ! x y z --6.51392127e-01 -5.87014579e+00 -2.95793081e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -65 1.10539569e-06 1.36083964e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --5.68540327e-01 1.32853908e-01 -2.74248856e-01 ! x y z --2.28636154e+00 -7.40032660e+00 1.15230861e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -66 1.10539569e-06 2.12644561e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --9.02814420e-01 4.51623081e-01 3.31973730e-02 ! x y z --2.80126142e+00 -5.58560982e+00 -1.92746316e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -67 1.10539569e-06 8.14605985e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --3.85382182e-01 1.43901530e-03 1.15478430e-02 ! x y z --2.59844799e-02 -1.01271155e+01 4.30703613e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -68 1.10539569e-06 9.27538405e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -3.61232954e-01 2.20844429e-01 -1.22567174e-01 ! x y z --4.75444340e+00 8.15211658e+00 6.72406103e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -69 1.10539569e-06 1.70813096e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -7.62285263e-01 2.77535790e-01 7.50460161e-03 ! x y z --2.38561781e+00 6.55492046e+00 -5.72763423e-02 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -70 1.10539569e-06 2.71135229e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -6.33966979e-01 1.05145872e+00 -3.79026357e-01 ! x y z --4.80055687e+00 2.37239115e+00 -1.45444659e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -71 1.10539569e-06 9.29779721e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --1.09086355e-01 -4.25927399e-01 -5.92609052e-02 ! x y z -8.83426715e+00 -1.97333711e+00 -2.57514440e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -72 1.10539569e-06 2.48562722e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --5.52243615e-01 -1.03472811e+00 -9.20470885e-03 ! x y z -5.14745205e+00 -2.71638935e+00 1.85243774e-02 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -73 1.10539569e-06 1.57390173e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --2.37564413e-01 -7.02794064e-01 -1.30853933e-01 ! x y z -6.84384400e+00 -2.13579218e+00 -7.74318491e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -74 1.10539569e-06 1.33469063e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -5.24670248e-01 -3.60722160e-01 -5.89339466e-03 ! x y z -4.43972950e+00 6.48102200e+00 9.11331663e-02 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -75 1.10539569e-06 6.47192566e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -5.61797829e-02 -3.04486498e-01 4.89626567e-03 ! x y z -1.10606484e+01 2.04593839e+00 -1.21551157e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -76 1.10539569e-06 1.47162297e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -1.43061104e-01 -6.84452631e-01 -2.55174546e-02 ! x y z -7.11009943e+00 1.43236802e+00 1.93726736e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -77 1.10539569e-06 8.63668982e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --2.85992031e-02 -4.08122100e-01 2.78731319e-02 ! x y z -9.76823729e+00 -6.46270469e-01 6.80833278e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -78 1.10539569e-06 2.36804818e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -6.91157068e-01 -7.91937234e-01 3.82540684e-01 ! x y z -4.02153165e+00 4.19828096e+00 1.29880450e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -79 1.10539569e-06 9.14394348e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --3.51098607e-01 2.59366529e-01 -1.55386862e-02 ! x y z --5.06657998e+00 -7.18889701e+00 -3.53716670e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -80 1.10539569e-06 1.26910472e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -4.23152493e-01 3.88117899e-01 -2.00809903e-01 ! x y z --4.53578552e+00 6.18184215e+00 2.34837457e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -81 1.10539569e-06 6.33003056e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -1.28512111e-01 2.64697808e-01 -7.13482769e-02 ! x y z --9.33728759e+00 5.41684777e+00 3.59675928e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -82 1.10539569e-06 2.22271119e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -3.71802215e-01 -9.92089651e-01 5.32987899e-02 ! x y z -5.68468560e+00 2.17000210e+00 -9.37982171e-02 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -83 1.10539569e-06 1.74051421e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -7.86568140e-01 2.32350855e-01 6.38082505e-02 ! x y z --1.88303694e+00 6.63245612e+00 -8.28072975e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -84 1.10539569e-06 9.31517858e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --3.72567042e-01 -2.35531924e-01 4.96465701e-02 ! x y z -4.70939503e+00 -7.96544948e+00 -1.77358479e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -85 1.10539569e-06 2.46953975e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -3.20593248e-01 1.08358397e+00 3.52755169e-01 ! x y z --5.53042972e+00 1.53963953e+00 2.87126462e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -86 1.10539569e-06 1.50876657e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --5.56037714e-01 -4.53117788e-01 -4.40686710e-02 ! x y z -4.32334289e+00 -5.53881012e+00 2.32535969e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -87 1.10539569e-06 6.79814743e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --1.71412212e-01 -2.72520775e-01 2.76595629e-02 ! x y z -9.35632724e+00 -5.87401170e+00 1.71700376e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -88 1.10539569e-06 1.37728604e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -4.52644996e-01 4.52246640e-01 1.36128602e-01 ! x y z --5.47133577e+00 5.50145396e+00 -3.76988545e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -89 1.10539569e-06 1.75150424e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --2.17549909e-01 -7.69243942e-01 2.30477642e-01 ! x y z -6.02966869e+00 -2.44216734e+00 -2.26348882e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -90 1.10539569e-06 1.82243275e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -8.53300892e-01 1.05420241e-01 6.10357233e-03 ! x y z --7.23180710e-01 6.14709501e+00 -2.81238589e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -91 1.10539569e-06 1.04051592e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -4.76117727e-02 -4.92462500e-01 -7.89640418e-03 ! x y z -8.70186553e+00 7.97359443e-01 -1.82242405e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -92 1.10539569e-06 9.04059360e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --2.13222540e-01 -3.73863988e-01 -4.13231963e-04 ! x y z -8.30795424e+00 -4.74104957e+00 -9.20828866e-02 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -93 1.10539569e-06 2.08546876e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --4.00253331e-02 9.90845414e-01 3.30248466e-02 ! x y z --6.29625004e+00 -2.72856242e-01 4.06580221e-02 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -94 1.10539569e-06 6.61548636e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -2.95782619e-01 1.07222597e-01 -2.12686228e-02 ! x y z --3.48575733e+00 1.03058724e+01 2.52560893e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -95 1.10539569e-06 1.26032554e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --2.86024380e-01 -5.25659190e-01 -1.93449627e-02 ! x y z -6.91385395e+00 -3.87796179e+00 1.75371157e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -96 1.10539569e-06 2.28076998e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -8.65990862e-01 6.01183979e-01 2.43471322e-01 ! x y z --3.24575804e+00 5.02670056e+00 -8.53001170e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -97 1.10539569e-06 7.05221824e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --1.39637261e-01 -3.01107928e-01 -4.31558543e-02 ! x y z -9.00360957e+00 -4.71459755e+00 3.83918395e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -98 1.10539569e-06 6.39269462e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -2.44254383e-01 -1.79341582e-01 -1.04974267e-03 ! x y z -6.75937463e+00 9.18023255e+00 7.52738258e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -99 1.10539569e-06 1.79085174e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --8.13843608e-01 1.99633270e-01 -1.80207407e-01 ! x y z --1.29939496e+00 -6.46953788e+00 -1.46932255e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -100 1.10539569e-06 1.32458326e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --6.32126102e-01 -2.47196136e-02 -2.42353871e-02 ! x y z -2.92190575e-01 -7.70428120e+00 1.58876111e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -101 1.10539569e-06 1.52095833e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --6.91088291e-01 -1.16411821e-01 -1.71283865e-01 ! x y z -1.53252063e+00 -7.10600791e+00 -1.39483264e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -102 1.10539569e-06 1.58389732e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --5.73673516e-01 -4.82303150e-01 -6.92080251e-02 ! x y z -4.56925372e+00 -5.55908510e+00 8.00568861e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -103 1.10539569e-06 6.78999949e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -2.70326377e-01 1.68246296e-01 4.59682324e-02 ! x y z --6.01982148e+00 9.02506097e+00 2.30638849e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -104 1.10539569e-06 1.01600407e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --4.27129315e-01 -1.60689947e-01 1.56748833e-01 ! x y z -2.47314908e+00 -8.47972366e+00 -1.94836513e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -105 1.10539569e-06 2.39114531e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -9.42557812e-01 5.29448416e-01 3.49342967e-01 ! x y z --3.26429676e+00 4.46194553e+00 2.04186289e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -106 1.10539569e-06 7.00793819e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -2.89445458e-01 1.51184189e-01 6.04053839e-02 ! x y z --4.58420182e+00 9.69365003e+00 -2.04005101e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -107 1.10539569e-06 1.90283015e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -8.56335053e-01 -2.54662167e-01 1.41334047e-01 ! x y z -2.10228445e+00 5.79525323e+00 -2.36721595e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -108 1.10539569e-06 2.96231967e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --1.36313774e+00 -1.39484993e-03 -3.33851852e-01 ! x y z --1.80152731e-01 -5.22233557e+00 9.45811316e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -109 1.10539569e-06 1.11806853e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -2.46999479e-01 4.69183085e-01 1.48273567e-02 ! x y z --7.62737255e+00 4.03088377e+00 -2.87208744e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -110 1.10539569e-06 3.12227105e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -8.92685552e-01 -1.19778080e+00 7.96108948e-02 ! x y z -4.05065890e+00 2.97803027e+00 -9.38454309e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -111 1.10539569e-06 2.24585100e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --8.16543398e-01 6.44376993e-01 2.28097541e-01 ! x y z --3.89719354e+00 -4.47060943e+00 -1.39962365e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -112 1.10539569e-06 3.76823843e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -1.19421123e+00 1.32084250e+00 -7.72400022e-02 ! x y z --3.08133686e+00 2.88161171e+00 2.10766368e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -113 1.10539569e-06 1.85829977e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -5.64160987e-01 6.79541760e-01 1.90515744e-02 ! x y z --5.13431676e+00 4.27566051e+00 6.03635853e-02 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -114 1.10539569e-06 3.49744654e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -1.56537224e+00 5.82910904e-01 -8.86453767e-02 ! x y z --1.64314439e+00 4.51635617e+00 5.81379936e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -115 1.10539569e-06 2.44627752e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --5.21489220e-01 -9.80146980e-01 3.22082629e-01 ! x y z -4.69945017e+00 -3.07448039e+00 -1.66849603e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -116 1.10539569e-06 1.48946902e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --1.60792560e-01 -6.87644911e-01 3.66413788e-02 ! x y z -6.37303278e+00 -1.67465930e+00 -3.52540571e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -117 1.10539569e-06 9.48472009e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -4.15102464e-01 -1.75149973e-01 -2.85549434e-02 ! x y z -3.17699950e+00 8.02980191e+00 -3.56193766e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -118 1.10539569e-06 1.46132866e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --3.45225828e-01 5.98258841e-01 -7.45003268e-02 ! x y z --6.51260143e+00 -3.60690443e+00 1.16008799e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -119 1.10539569e-06 9.12611171e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --1.84725575e-01 -3.85457639e-01 -5.09774260e-02 ! x y z -8.51718303e+00 -4.26677573e+00 1.26149786e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -120 1.10539569e-06 1.22021916e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -1.44841297e-01 -5.39901332e-01 1.54755735e-01 ! x y z -7.76971331e+00 1.39084378e+00 -2.38817543e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -121 1.10539569e-06 6.51657309e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --1.95970426e-02 -3.07995454e-01 -2.51102574e-02 ! x y z -1.12576282e+01 -6.78821641e-01 -4.95031697e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -122 1.10539569e-06 8.35698784e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -3.58295595e-01 -4.07805583e-02 -1.62744429e-01 ! x y z -5.65842623e-02 9.77741717e+00 -2.12236760e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -123 1.10539569e-06 1.08014635e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --3.57112225e-01 3.26038545e-01 -1.68902691e-01 ! x y z --5.23071639e+00 -6.75806936e+00 -2.04006316e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -124 1.10539569e-06 1.02550770e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --4.30953626e-01 -1.21419747e-01 -1.92524368e-01 ! x y z -2.35863321e+00 -8.68071542e+00 1.79033554e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -125 1.10539569e-06 6.95814419e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --1.10223043e-02 3.29698672e-01 -2.33216443e-02 ! x y z --1.05036416e+01 -1.18257626e-01 2.99156731e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -126 1.10539569e-06 1.21782856e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --3.37540070e-01 -4.68051579e-01 3.12017441e-02 ! x y z -6.67938807e+00 -4.87057933e+00 -1.80758676e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -127 1.10539569e-06 1.27648491e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -4.70107622e-01 3.81394049e-01 2.94976958e-02 ! x y z --5.04123374e+00 6.27657958e+00 5.88259014e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -128 1.10539569e-06 1.62877006e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --4.55138385e-01 -6.23311530e-01 5.02376028e-02 ! x y z -5.28132760e+00 -4.06425983e+00 -2.57712837e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -129 1.10539569e-06 2.66986578e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --7.13493035e-02 -1.22710114e+00 -3.17757228e-01 ! x y z -5.28592709e+00 -7.54459447e-01 1.59593511e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -130 1.10539569e-06 6.56076786e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --2.44014453e-01 -1.91481938e-01 3.64286209e-02 ! x y z -6.89410930e+00 -7.97798070e+00 3.86568598e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -131 1.10539569e-06 1.47791991e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --8.58860487e-02 6.98105661e-01 -6.05263656e-02 ! x y z --7.39418369e+00 -8.88083586e-01 3.68318815e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -132 1.10539569e-06 1.18316891e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -1.30463297e-01 5.39537186e-01 8.94135251e-02 ! x y z --7.91933257e+00 2.19758719e+00 -1.62232353e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -133 1.10539569e-06 1.53219837e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --1.10956489e-01 -7.21494396e-01 5.19355079e-02 ! x y z -7.24010486e+00 -1.09301700e+00 -1.60852706e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -134 1.10539569e-06 6.43300411e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --2.88041757e-02 -3.04722867e-01 -3.14812865e-02 ! x y z -1.07993595e+01 -1.40429215e+00 2.96552456e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -135 1.10539569e-06 8.51935749e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --3.86591612e-01 -4.29771812e-02 -1.05863039e-01 ! x y z -1.97234762e+00 -9.03918811e+00 -3.56317371e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -136 1.10539569e-06 7.63507559e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --1.88157405e-01 2.88666278e-01 1.10921677e-01 ! x y z --8.87614786e+00 -5.45415368e+00 -8.46055713e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -137 1.10539569e-06 8.42313899e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --1.55471151e-01 3.65848047e-01 -8.97493453e-03 ! x y z --9.20044180e+00 -3.87411273e+00 -4.84829815e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -138 1.10539569e-06 6.72600246e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -2.87375637e-01 -1.36801833e-01 -1.72137474e-02 ! x y z -4.76338219e+00 1.00717170e+01 2.97994928e-03 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -139 1.10539569e-06 1.02461717e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -2.70166209e-01 -4.01549931e-01 6.36091815e-02 ! x y z -7.45419134e+00 4.96228856e+00 -6.59900898e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -140 1.10539569e-06 6.87840289e-04 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -1.61307437e-01 -2.72164290e-01 8.71883296e-02 ! x y z -8.60206869e+00 6.06917549e+00 2.98663214e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -141 1.10539569e-06 3.92140957e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --1.78539217e+00 5.34215902e-01 -1.20626554e-01 ! x y z --1.35880150e+00 -4.33539223e+00 6.63369806e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -142 1.10539569e-06 2.70800787e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --2.31436788e-01 5.48162971e-01 1.64734173e-02 ! x y z --7.51357402e+00 -3.16907615e+00 -1.32982328e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -143 1.10539569e-06 2.04544912e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -2.94940717e-01 -3.37625386e-01 -4.75480276e-02 ! x y z -6.93658760e+00 6.20070236e+00 -1.01079366e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -144 1.10539569e-06 6.37587428e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -9.71735603e-01 -9.61566886e-01 3.24968572e-01 ! x y z -3.81159593e+00 3.54522020e+00 -1.00291449e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -145 1.10539569e-06 2.08933536e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -1.75759753e-01 4.21380582e-01 6.28003104e-02 ! x y z --8.52008102e+00 3.47130251e+00 9.83757295e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -146 1.10539569e-06 1.50397186e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --1.39588743e-02 -3.30180335e-01 -1.05230287e-02 ! x y z -1.07866352e+01 -4.97967898e-01 1.76757426e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -147 1.10539569e-06 3.38562140e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --7.29920730e-01 5.89061070e-02 -1.20920053e-01 ! x y z --7.74235710e-01 -7.10977778e+00 1.52865443e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -148 1.10539569e-06 2.32741739e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -4.96020721e-01 7.20447253e-02 -1.09717020e-01 ! x y z --2.02019828e+00 7.69560863e+00 -3.69254498e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -149 1.10539569e-06 2.12332437e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --4.28791847e-01 -1.88187724e-01 1.60873382e-02 ! x y z -3.57426531e+00 -8.26404401e+00 -1.76157927e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -150 1.10539569e-06 1.76485902e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --3.55182279e-01 1.52620292e-01 -6.22833990e-02 ! x y z --3.88412930e+00 -9.19453465e+00 -7.37459129e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -151 1.10539569e-06 1.57284431e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --3.47785192e-01 9.69744008e-03 -5.97342340e-03 ! x y z --3.78784685e-01 -1.06242178e+01 1.68422812e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -152 1.10539569e-06 5.30159037e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -2.29951992e-01 1.09612807e+00 -3.27460884e-01 ! x y z --5.22124087e+00 1.65375984e+00 1.97215321e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -153 1.10539569e-06 2.55861101e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --5.21007349e-02 5.32952897e-01 -1.70855331e-01 ! x y z --8.35827288e+00 -7.84724150e-01 2.96312578e-02 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -154 1.10539569e-06 7.10383113e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius --5.72959788e-01 -1.44639128e+00 -1.28014693e-01 ! x y z -4.55403004e+00 -1.72466270e+00 -1.28754288e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -155 1.10539569e-06 1.36743334e-03 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -2.14648375e-01 2.10911522e-01 -9.00355256e-03 ! x y z --7.51711446e+00 7.37660713e+00 -4.51391831e+00 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -156 1.10539569e-06 2.65261394e-02 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -5.50228741e-02 3.86702728e-01 2.53976723e-02 ! x y z --9.89354846e+00 1.39418207e+00 5.42336207e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot -157 1.10539569e-06 4.92529404e-02 ! ID / G*Mass / Rhill -1.09799198e-05 ! Radius -1.00902512e+00 -1.88090001e-01 3.31281617e-01 ! x y z -1.00573195e+00 5.95735671e+00 3.15059243e-01 ! vx vy vz -4.00000000e-01 4.00000000e-01 4.00000000e-01 ! ip -0.00000000e+00 0.00000000e+00 0.00000000e+00 ! rot diff --git a/examples/symba_chambers_2013/savestate2/sun_MsunAUYR.in b/examples/symba_chambers_2013/savestate2/sun_MsunAUYR.in deleted file mode 100644 index ceb04eea1..000000000 --- a/examples/symba_chambers_2013/savestate2/sun_MsunAUYR.in +++ /dev/null @@ -1,7 +0,0 @@ -0 ! id -39.476926408897626 ! G*Mass -0.004650467260962157 ! Radius -0.0 !4.7535806948127355e-12 ! J2 -0.0 !-2.2473967953572827e-18 ! J4 -0.0 0.0 0.07 ! Principle axes moments of inertia -11.2093063 -38.75937204 82.25088158 ! Rotation vector (rad/TU) diff --git a/examples/symba_chambers_2013/savestate2/tp.in b/examples/symba_chambers_2013/savestate2/tp.in deleted file mode 100644 index 573541ac9..000000000 --- a/examples/symba_chambers_2013/savestate2/tp.in +++ /dev/null @@ -1 +0,0 @@ -0 From c2db7c08ce8a7ce0aeceae65a322b28d0a1ae7db Mon Sep 17 00:00:00 2001 From: David A Minton Date: Fri, 20 Aug 2021 09:55:57 -0400 Subject: [PATCH 3/6] Added missing use statements --- src/modules/helio_classes.f90 | 1 + src/modules/symba_classes.f90 | 1 + 2 files changed, 2 insertions(+) diff --git a/src/modules/helio_classes.f90 b/src/modules/helio_classes.f90 index 156f0ea50..dcfcdde2e 100644 --- a/src/modules/helio_classes.f90 +++ b/src/modules/helio_classes.f90 @@ -215,6 +215,7 @@ module subroutine helio_step_tp(self, system, param, t, dt) end subroutine helio_step_tp module subroutine helio_util_index_eucl_plpl(self, param) + use swiftest_classes, only : swiftest_parameters implicit none class(helio_pl), intent(inout) :: self !! Helio massive body object class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters diff --git a/src/modules/symba_classes.f90 b/src/modules/symba_classes.f90 index cf809453b..7a2599a46 100644 --- a/src/modules/symba_classes.f90 +++ b/src/modules/symba_classes.f90 @@ -354,6 +354,7 @@ module function symba_collision_casesupercatastrophic(system, param, family, x, end function symba_collision_casesupercatastrophic module subroutine symba_util_index_eucl_plpl(self, param) + use swiftest_classes, only : swiftest_parameters implicit none class(symba_pl), intent(inout) :: self !! SyMBA massive body object class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters From e31cda21633de4ce8aea0a539882264571d9fdfd Mon Sep 17 00:00:00 2001 From: David A Minton Date: Fri, 20 Aug 2021 10:49:12 -0400 Subject: [PATCH 4/6] Cleaned up fragmentation code and fixed issues related to adding sorting to the index method in the calculation of the system energy --- src/fragmentation/fragmentation.f90 | 72 ++++++++++++++++------------- 1 file changed, 40 insertions(+), 32 deletions(-) diff --git a/src/fragmentation/fragmentation.f90 b/src/fragmentation/fragmentation.f90 index 501ed050a..f020fa36f 100644 --- a/src/fragmentation/fragmentation.f90 +++ b/src/fragmentation/fragmentation.f90 @@ -100,7 +100,6 @@ module subroutine fragmentation_initialize(system, param, family, x, v, L_spin, call reset_fragments() call define_coordinate_system() - call construct_temporary_system() ! Calculate the initial energy of the system without the collisional family call calculate_system_energy(linclude_fragments=.false.) @@ -150,25 +149,25 @@ module subroutine fragmentation_initialize(system, param, family, x, v, L_spin, end do call restore_scale_factors() - write(*, "(' -------------------------------------------------------------------------------------')") - write(*, "(' Final diagnostic')") - write(*, "(' -------------------------------------------------------------------------------------')") - call calculate_system_energy(linclude_fragments=.true.) - if (lfailure) then - write(*,*) "symba_frag_pos failed after: ",try," tries" - do ii = 1, nfrag - vb_frag(:, ii) = vcom(:) - end do - else - write(*,*) "symba_frag_pos succeeded after: ",try," tries" - write(*, "(' dL_tot should be very small' )") - write(*,fmtlabel) ' dL_tot |', dLmag / Lmag_before - write(*, "(' dE_tot should be negative and equal to Qloss' )") - write(*,fmtlabel) ' dE_tot |', dEtot / abs(Etot_before) - write(*,fmtlabel) ' Qloss |', -Qloss / abs(Etot_before) - write(*,fmtlabel) ' dE - Qloss |', (Etot_after - Etot_before + Qloss) / abs(Etot_before) - end if - write(*, "(' -------------------------------------------------------------------------------------')") + ! write(*, "(' -------------------------------------------------------------------------------------')") + ! write(*, "(' Final diagnostic')") + ! write(*, "(' -------------------------------------------------------------------------------------')") + ! call calculate_system_energy(linclude_fragments=.true.) + ! if (lfailure) then + ! write(*,*) "symba_frag_pos failed after: ",try," tries" + ! do ii = 1, nfrag + ! vb_frag(:, ii) = vcom(:) + ! end do + ! else + ! write(*,*) "symba_frag_pos succeeded after: ",try," tries" + ! write(*, "(' dL_tot should be very small' )") + ! write(*,fmtlabel) ' dL_tot |', dLmag / Lmag_before + ! write(*, "(' dE_tot should be negative and equal to Qloss' )") + ! write(*,fmtlabel) ' dE_tot |', dEtot / abs(Etot_before) + ! write(*,fmtlabel) ' Qloss |', -Qloss / abs(Etot_before) + ! write(*,fmtlabel) ' dE - Qloss |', (Etot_after - Etot_before + Qloss) / abs(Etot_before) + ! end if + ! write(*, "(' -------------------------------------------------------------------------------------')") call ieee_set_halting_mode(IEEE_ALL,fpe_halting_modes) ! Save the current halting modes so we can turn them off temporarily @@ -355,7 +354,7 @@ subroutine construct_temporary_system() associate(pl => system%pl, npl => system%pl%nbody, cb => system%cb) if (size(lexclude) /= npl + nfrag) then - allocate(lexclude_tmp(npl_new)) + allocate(lexclude_tmp(npl + nfrag)) lexclude_tmp(1:npl) = lexclude(1:npl) call move_alloc(lexclude_tmp, lexclude) end if @@ -364,8 +363,9 @@ subroutine construct_temporary_system() elsewhere lexclude(1:npl) = .false. end where - lexclude(npl+1:npl_new) = .true. + lexclude(npl+1:(npl + nfrag)) = .true. if (allocated(tmpparam)) deallocate(tmpparam) + if (allocated(tmpsys)) deallocate(tmpsys) allocate(tmpparam, source=param) call setup_construct_system(tmpsys, param) call tmpsys%tp%setup(0, param) @@ -388,8 +388,11 @@ subroutine add_fragments_to_tmpsys() implicit none ! Internals integer(I4B) :: i + class(swiftest_pl), allocatable :: pl_discards + logical, dimension(:), allocatable :: lexclude_tmp associate(pl => system%pl, npl => system%pl%nbody) + npl_new = npl + nfrag tmpsys%pl%mass(npl+1:npl_new) = m_frag(1:nfrag) tmpsys%pl%Gmass(npl+1:npl_new) = m_frag(1:nfrag) * tmpparam%GU @@ -407,11 +410,20 @@ subroutine add_fragments_to_tmpsys() ! Disable the collisional family for subsequent energy calculations and coordinate shifts lexclude(family(:)) = .true. lexclude(npl+1:npl_new) = .false. - where(lexclude(:)) - tmpsys%pl%status(:) = INACTIVE + where(lexclude(1:npl_new)) + tmpsys%pl%status(1:npl_new) = INACTIVE elsewhere - tmpsys%pl%status(:) = ACTIVE + tmpsys%pl%status(1:npl_new) = ACTIVE end where + allocate(pl_discards, mold=tmpsys%pl) + call tmpsys%pl%spill(pl_discards, lspill_list=lexclude(1:npl_new), ldestructive=.true.) + npl_new = count(.not.lexclude(:)) + + if (size(lexclude) /= npl_new) then + allocate(lexclude_tmp(npl_new)) + call move_alloc(lexclude_tmp, lexclude) + end if + lexclude(1:npl_new) = .false. end associate @@ -438,13 +450,6 @@ subroutine calculate_system_energy(linclude_fragments) ! is in the main program. This will temporarily expand the planet list in a temporary system object called tmpsys to feed it into symba_energy associate(pl => system%pl, npl => system%pl%nbody, cb => system%cb) - where (lexclude(1:npl_new)) - tmpsys%pl%status(1:npl_new) = INACTIVE - elsewhere - tmpsys%pl%status(1:npl_new) = ACTIVE - end where - - ! Because we're making a copy of symba_pl with the excludes/fragments appended, we need to deallocate the ! big k_plpl array and recreate it when we're done, otherwise we run the risk of blowing up the memory by ! allocating two of these ginormous arrays simulteouously. This is not particularly efficient, but as this @@ -452,6 +457,9 @@ subroutine calculate_system_energy(linclude_fragments) lk_plpl = allocated(pl%k_plpl) if (lk_plpl) deallocate(pl%k_plpl) + call construct_temporary_system() + if (linclude_fragments) call add_fragments_to_tmpsys() + call tmpsys%pl%index(param) call tmpsys%get_energy_and_momentum(param) From a08a341c26553b2779174c568259de76ee460dbe Mon Sep 17 00:00:00 2001 From: David A Minton Date: Fri, 20 Aug 2021 11:30:20 -0400 Subject: [PATCH 5/6] Fixed uninitialized error flag bug --- src/io/io.f90 | 1 + 1 file changed, 1 insertion(+) diff --git a/src/io/io.f90 b/src/io/io.f90 index 67d4665ab..2fdc0efa9 100644 --- a/src/io/io.f90 +++ b/src/io/io.f90 @@ -905,6 +905,7 @@ module subroutine io_read_in_cb(self, param) read(iu, *, err = 667, iomsg = errmsg) self%Ip(1), self%Ip(2), self%Ip(3) read(iu, *, err = 667, iomsg = errmsg) self%rot(1), self%rot(2), self%rot(3) end if + ierr = 0 else open(unit = iu, file = param%incbfile, status = 'old', form = 'UNFORMATTED', err = 667, iomsg = errmsg) ierr = self%read_frame(iu, param) From a621047c2990ef9096a50ed46fdb527f6f19d4f6 Mon Sep 17 00:00:00 2001 From: David A Minton Date: Fri, 20 Aug 2021 11:33:24 -0400 Subject: [PATCH 6/6] Updated example notebook sand Makefile --- Makefile.Defines | 12 +++++++----- .../swiftest_symba_vs_swifter_symba.ipynb | 6 +++--- .../mars_disk/param.swiftest.in | 3 ++- 3 files changed, 12 insertions(+), 9 deletions(-) diff --git a/Makefile.Defines b/Makefile.Defines index 6b35a612e..1663e016c 100644 --- a/Makefile.Defines +++ b/Makefile.Defines @@ -54,24 +54,26 @@ VTUNE_FLAGS = -g -O2 -vec -simd -shared-intel -qopenmp -debug inline-debug-info IDEBUG = -O0 -nogen-interfaces -no-pie -no-ftz -fpe-all=0 -g -traceback -mp1 -fp-model strict -fpe0 -debug all -align all -pad -ip -prec-div -prec-sqrt -assume protect-parens -CB -no-wrap-margin -init=snan,arrays STRICTREAL = -fp-model strict -fp-model no-except -prec-div -prec-sqrt -assume protect-parens SIMDVEC = -simd -xhost -align all -assume contiguous_assumed_shape -vecabi=cmdtarget -prec-div -prec-sqrt -assume protect-parens -PAR = -qopenmp #-parallel Something goes wrong in SyMBA at the moment with auto-paralellization enabled +PAR = -qopenmp #-parallel #Something goes wrong in SyMBA at the moment with auto-paralellization enabled HEAPARR = -heap-arrays 1048576 OPTREPORT = -qopt-report=5 +IPRODUCTION = -init=snan,arrays -no-wrap-margin -O3 $(STRICTREAL) $(PAR) $(SIMDVEC) $(HEAPARR) #gfortran flags -GDEBUG = -g -Og -fbacktrace -fbounds-check -GPRODUCTION = -O3 +GDEBUG = -g -Og -fbacktrace -fbounds-check -ffree-line-length-none GPAR = -fopenmp #-ftree-parallelize-loops=4 GMEM = -fsanitize=undefined -fsanitize=address -fsanitize=leak GWARNINGS = -Wall -Warray-bounds -Wimplicit-interface -Wextra -Warray-temporaries +GPRODUCTION = -O3 -ffree-line-length-none $(GPAR) #FFLAGS = $(IDEBUG) $(HEAPARR) $(SIMDVEC) $(PAR) -#FFLAGS = -init=snan,arrays -no-wrap-margin -O0 -g -traceback $(STRICTREAL) $(PAR) $(SIMDVEC) $(HEAPARR) +#FFLAGS = $(IPRODUCTION) #FORTRAN = ifort #AR = xiar FORTRAN = gfortran -FFLAGS = -ffree-line-length-none $(GPAR) $(GPRODUCTION) #$(GMEM) +#FFLAGS = $(GDEBUG) #$(GMEM) #$(GPAR) +FFLAGS = $(GPRODUCTION) AR = ar # DO NOT include in CFLAGS the "-c" option to compile object only diff --git a/examples/symba_swifter_comparison/8pl_16tp_encounters/swiftest_symba_vs_swifter_symba.ipynb b/examples/symba_swifter_comparison/8pl_16tp_encounters/swiftest_symba_vs_swifter_symba.ipynb index dec0bb58b..ca5040a17 100644 --- a/examples/symba_swifter_comparison/8pl_16tp_encounters/swiftest_symba_vs_swifter_symba.ipynb +++ b/examples/symba_swifter_comparison/8pl_16tp_encounters/swiftest_symba_vs_swifter_symba.ipynb @@ -163,7 +163,7 @@ }, { "data": { - "image/png": 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99FH773Fxcdx6662MGTNkxfewUUM6KioqKqeJAwcO8NFHHzF16lQeeughPv/5z+Pz+Vi1ahW1tbWjfn3V4KuoqKicBpxOJx988AFZWVncdNNNWCwWcnNzuffee9Fqtbzyyiu43e5RnYNq8FVUVFROA1u3bsXtdrNy5Uq0Wm37caNWQ5r00NDQwPr160d1DqrBV1FRURll2tra2LlzJ9OmTSMlJaXLuZJD+6nau514jWTnzp1UVVWN2jxUg6+ioqIyymzbtg2fz8eSJUv6bOM+dgCz2cy6desYrcJUqsFXUVFRGUW8Xi/79u1jypQpJCQk9DjvcToAEAE/82bOoKioiPz8/FGZi2rwVVRUVEaRI0eO4HK5mD9/fq/n3Q5H+/OczAzi4uJYt24dfr9/xOei5uGrqKiojCIHDx4kLi6OzMzMXs+7Hfb25363mxUrVlBbWzsqYR3Vw1dRUVHph4AM8I99/+CFoy/g9g8ubbK5uZni4mJmzpyJEKLXNqGQDoDb6SQ3N5fFixePyu5b1cNXUVFR6YdTTad44vATAEQbo7l2/LVh9z18+DAA06dP77ON2+FAaDTIQKCL8R8NVA9fRUVFpR+ONx5vf3604WjY/aSUHDp0iIwMJS7fF26Hnch4pea4avBVVFRUziDHG49j1pmZFj+NY43Hwu5XXV1NXV0dM2bM6Ledx+nAGhcPdF3AHQ1Ug6+ioqLSDyeaTjAxdiJTE6ZyvPE4ARkIr9+JEwBMmTKl33ZuhwOT1YreaFI9fBUVFZUzhZSS443HmRQ7iSnxU7B77ZTZysLqm5+fT1paGhEREf228zgdGC0RGCwW1eCrqKionClaPa3YPDYyozIZHzMegOKW4gH7OZ1OKioqGD9+/IBt3Q4HBrMFg9mC2+kc7pT7RTX4KioqKn1Q56gDICkiiTRrGgAVbRUD9issLERKyYQJE/ptJ6XE47BjtFgwms2qh6+ioqJypqh1Khr1SeYk4kxxGDQGquwDi5sVFBRgNBpJS0vrt53P6yHg9yshHbMFj7poq6KionJmCHn4iZZENEJDqjWVyrbKfvtIKcnPzyc7O7uLDHJvhAx8KKSjevgqKioqZ4g6Z9Dgm5U8+TERYwb08Ovq6mhtbQ0zfq/IKhgtFowWC27V4KuoqKicGWodtUQZojDpTACkWlMHjOEXFBQADBi/B/C6XADoTebz08MXQmiFEPuFEO+d7murqKioDIY6Rx1JlqT231OtqTS6GnH5XH32yc/PJz4+npiYmAHHbzf4RmMwhu8cNS18ODMe/reB8LerqaioqJwhap217eEcUEI6QJ9hHa/XS0lJSVjePYDXo4ix6Y0mDGYzUgbwuvv+Mhkup9XgCyHSgauBJ0/ndVVUVFSGQp2jjkRLh8FPiVDKE9Y4anptX1JSgs/nCyt+D7Qbd73JhMFsAcAzirn4p1st8xHgISDyNF9XRUVFZVBIKal31hNvjm8/lmIJGnx77wa/oKAArVZLVlZWWNdoD+ls+j0GZ2Tw2OgZ/NPm4QshrgFqpZR7B2h3vxBijxBiT11d3WmanYqKikpX7F473oCXOGOH0mVShBLP78vDz8/PJzMzE4PBENY1fKGQzvE3MBx/AxhdD/90hnQuBq4TQhQDLwOXCyFe6N5ISvkfKeU8KeW8xMTE7qdVVFRUTgtN7iYAYk2x7ceMWiOxxthePfyWlhbq6urCDudAh4evEwH0mkCXY6PBaTP4UsofSSnTpZRZwOeA9VLKL56u66uoqKgMhiZXT4MPkByR3KuHP5h0zBDti7YaPwaNDwDP+RDSUVFRUTmXaDf4xm4G39K3wY+MjCQpKanHub7wut1otRo0AgxBD/+8M/hSyg1SymvOxLVVVFRUwqHR1Qj04uFbknuEdAKBAAUFBYwfP77P2rW94XW50OsV+QW9xg+cPzF8FRUVlXOGUAw/ztS1PGFyRDJN7qYum68qKytxuVyDit+Dsmir0ykG3xA0+OdFDF9FRUXlXKLZ1YxBY8CsM3c5nmxJBhTZhRD5+fkAgzb4ioevmOF2D981evIKqsFXUVFR6YVGVyOxptgeIZrkCMXgd47j5+fnk5qaisViGdQ1vG4Xeq1ihrVCotVqVA9fRUVF5XTT5G7qEc6BDg+/2l4NdFS3Gkx2Tgifx41e1/GFotdrabY1DCjBPFRUg6+ioqLSC02uph4LttBh8EMefqi61WDDOQBelxudtkMszWDQcqz6CLe/d/sQZ90/qsFXUVFR6YVQSKc7Fr2FSENke6ZOqLpVenr6oK/h9bjRawUYowEw6DS4HPZ2kbaRRjX4KioqKr3Q7G7ukYMfIpSLH6puNW7cuAGrW/WG1+1SdtjqzaDRo9cJvG6XavBVVFRUThcevwe7196rhw8du23r6+tpbW0dUvweglk6Ggk6I+jNGLQQcHsYY1UNvoqKisppoa9NVyFSLCnU2GuGnI4ZwudxKx6+zgQ6I0In0Xil6uGrqKionC5CsgqdlTI7kxyRTIOrgVP5p4iPjyc2tvcvBgACfnC39TgspVQWbTV+0BlAZ8an8aH3a1SDr6KionK6CBn8GFNMr+fTrGloAprwqlut/RH8Pg38vi6H/T4fUgbQC3+7h+/WeNH5hGrwVVRUVE4XvUkjdybNmkaCOwG/zz9wOOfI68FBi7ocbq92JXyKwdebcGi8ioevxvBVVFRUTg8DhXTSrGkkO5IRGjFwdavY4PnarqW8O7TwvaA1gM5Em9aLNiCI1o1OUUDV4KuoqKh0o9HViFZoiTJG9Xo+0ZxIiisFTZxm4OpWMWOVn3XHuxxur3aFNxjSMdGs9Srn3J7hvYA+UA2+ioqKSjea3E1EG6PRiN5NpL3NTpQnCkd0OEJnQemEPjx8xeArHn69Vonze0dJIlk1+CoqKirdaHI19bnpCjrUMatMVQMPFpJR7ubht8fw8YDOhNQaqNWFFDNVg6+ioqJyWuhLRydEQUEBGKHIX9Rnm3a8wbsAW9cvB587FNJxg85InU6HQxeseqV6+CoqKiqnh0ZXY69KmdBR3cqSbKHR3YjDO0BYx+vq+jN0OGjwdQEXaI2Uavx4dTLYdHQkklWDr6KiotKNBmcD8eb4Xs+FqluNyVRSJweUMvY5O37KDmXM9gLm0gU6I2X48YU8/FEqgqIafBUVFZVOuP1ubF4b8abeDX4ofp8zIQeASvsABr+zZ9+pLGL7om3ACToTZdJDIFjIXPXwVVRUVE4DjU5FR6cvD7+goIDU1FTGJykbriraKvof0NcpHu/teN6+aBuUVigNuIhHSctUY/gqKioqp4EGVwNArx6+0+mkvLyc8ePHE2+Kx6g1UmEbwOB7nbSnZnYy+KFFW11QPK3Ub2eMVPLv1SwdFRUVldNASCmzNw8/VN1qwoQJCCFItaaGF9KxBBeAO4d03C40Wi1aIZFaI+W+NtIDXhACr2rwVVRUVEafBmfQw+/F4J88eRKTydRe3SrNmka5rbz/AX1OMAcNfqeMHq/Hjd5oBKAZP7aAh7E+HwajEY8aw1dRUVEZfUIhne5pmX6/n5MnT5KTk9Ne3SozKpOS1hJkp+ybrp28EPB1ePjezou2bvQGPQClfuWLIMOrGHzVw1dRUVE5DTQ4G7DoLJh15i7Hy8vLcTqd5Obmth/LjMrE4XNQ56zrfbBQzN4c3MTl67poq9cHDb6vFYCxPi96o15dtFVRUVE5HfSVg3/8+HG0Wm0X/fusqCwAihuO92gPdMTs20M6nRZtPW50Bh0Ahe5mdEKjePgGQ3sGz0ijGnwVFRWVTjS6Gntk6EgpOXHiBFlZWRiDcXeAcdHjACh+/c7eBwsZeEtPg+91udDrFYOf76oj05yEHtDrtaqHr6KionI6aHD19PDr6+tpbGzsEs4BSLIkYQ4EKNL2MVi7hx8M6XTLw9frFBNc6Kwh26osBBsMWjUtU0VFReV00OBs6OHh5+XlATBp0qQuxzVCQ6bXR1EwFt+DfmL4PrcbvU6DSwjKnXVMiMwEQK/TqIu2Kioq5y/egJeKtoq+s11OE76Aj2Z3cw8PPy8vj8zMTKKiehZEyfZ6KTDowWPvOWB/IR23G51WQ4leRwBJdkw2AAa95sylZQohxob56L00jIqKisoAPHnoSVa+sZL/+eh/zug8mlxNSGSXlMza2lrq6uqYOnVqr30merxU63S0Nub3PBny6HtZtPV63Oh1cCxYMSsnVgkXTZ2cypK7vjwCr6YnujDarAIk7XuDe0UCzwLPjcCcVFRUPmNsrtgMwPaq7VS1VY1aEe+BaJdV6OThh8I5kydPBuDwp+s4tnkDN//4V2h1OnI8ihxCQc0BZqfM7DpgKO/eFAVC03PRVgt5RgMROgtZcYrBT0uywMJLRuPlDWzwpZSXdT8mhEiRUlaPyoxUVFQ+U7R52jjacJTLMy5nfdl6dlTt4MaJN56RubQLpwVj+FJK8vLyyMrKIjIykorjR1n3+D+UeTfWEx2fwESPInh2quEYs7sPGPLwdWbQW9oXcaWUyqKtRnLUYGBK3CQ0hgilrXd04vcw9Bj+XSM6CxUVlc8s+2r34Zd+Pj/588SZ4thRteOMzaW7h19bW0t9fX17OKehorS9rb25GbwOUvx+rIEAJ1t7qX4VMt56pUh5SFrB7/MhAwE0Gj/HDQamxk8DrR40+i7yCyNNOCGd3rheCOEAPpJSngingxDCBGwCjMHrvi6l/MUQr6+ionKecKxBKe49I2EGc5PncrDu4BmbS7uOTtDDz8vLQwjRHs5x2zsWZh0tzeCNQQA5Hg/HHL3Ut/V28/CDIR6PUzHqLTjwaARTE6cr7fSWs9LDvwnIB24UQjwZZh83cLmUciYwC1gphLhwiNdXUVE5T6iyVxFnisOitzAhZgKVbZW4fKOTpTIQDa4GjFojEfqILuEcq9UKgNvRzeAHM3OmuT2c8DbjDXi7Dhh6HXqz4uUHQzyhjVU1tAEwNWFqR7tR9PCHZPCllDVSyrVSyj9IKcNaTpYKbcFf9cHHmc3BUlFROeNU2atIjUgFIDs6G4mkpLXkjMyl3llPgjkBIQRVVVU0NDR0yc5x2e0YzIrGjr2lqd0bn+r24EZS0FzQdUBvZ4Nvbm8f8vDLRRtRAUl6cNNV5zajwZAMvhDiUSHEs8HnywfRTyuEOADUooSDdvbS5n4hxB4hxJ66uj4EiVRUVM4bquwdWTkhqYKill7i4aeBWkctSZYkAA4fPoxGo2HKlCnt5z0OO5aoGEwR1mBIRzHc09xKpk5efV7XAX1OEFolPq/rafCLsTPVLxAimASpt5x9Hj7gAQqDzy8Pt5OU0i+lnAWkAwuEENN6afMfKeU8KeW8xMTEIU5PRUXlXEBKqaRhRigGPzMqE4GgsKVwgJ6jQ42jhiRLEoFAgCNHjjBhwgQsFkv7ebfDjjEiAktMLI7m5vaQTgZ6oqTgUP2hrgN6nYrXDl09/OBO2mKtg2mBTroMZ6OHDziAaCGEHhg72M5SymZgA7ByiNdXUVE5D2h2N+Pyu9oNvklnIs2adkYMvpSy3cMvLS3FZrMxffr0Lm1cdjtGi4WI6BjsLc3txllEJDLHr2FP9Z6ug3qVAuVAV4PvULx4ly7AdEwd7c9Sg98IFACPAlvD6SCESBRCxASfm4GlQB+aoioqKp8FQuUBO2+0yo7JPiMhHZvXhtPnJNmSzOHDh9Hr9T3E0tz2NowWK5boGBwtTR3hl4gE5nv8lNpKqbZ32qLkcylhGgBDBHiVO4KQh+/TSeZqrR3tz6aQjhAiRgjxDHBz8NBzwLwwu48BPhVCHAJ2o8Tw3xvM9VVUVM4vqtsU4xjy8EFZuC1uKcYf8J/WudTaawGI18dz5MgRJk+ejCEoexDC7XQEQzoxSh5+SD8nIoEFQf2b3dW7Ozp4nUp2DigGP9g+5OGP02iI0nWEjEbbwx9UHr6UslkI8QcgC6gHZgBvhtn3EPTciKaiovLZJeThh7J0QFm49QQ8VLZVkhGVcdrmUutQDL6nwoPb7WbevJ6+rDsY0jFFROJxOvC77GgBIhLJcdiJGZPC9srtXDv+WqWDz9UR0jFYwa0kKtodNgDmIDpi/HBW5uHfB2RLKfdKKZ+RUr470pNSUVH5bFBlr8KsMxNtjG4/lh2tqEYW9bZzdRSpcdSAhIpjFSQlJZGREfyy2fE4NBQQ8PvxupwYLVZMkYpWpMvWrLSJSEDjdbAobRGbKzZ33J14HR0G3WBVQjqBAGX1hXi1AS72yo4vBDgr8/CbgK8KIR4RQtwrhFC9dhUVlSERytBpT0ukIzWzsPn0LtzWOmqJ9cTSUNvAvHnzlDl5HLD2B3DgRdzBVEpjRASm4EYsV5tNEUUzxwKSS1IuoNndzOH6w8qgXlcngx/SynFQ0ViKTyeZ5/Z08/DPskVbKeXvga8ADwNFwOjIuqmoqJz3VNmrusTvAaKN0cSZ4k57pk6VvYrJ9sno9XpmzJihHHS1KD8dDe2yCkZLBGar4uE72xxKGEavGPOFCTPRaXSsK1mn9PM5lfx7aDf4AXcrtc3V6MwmDJ2zeEJtgncBo8GgDb4Q4lfA9cAyoEJK+fcRn5WKispngs6brjqTHZ1NcWvxaZ1LTWMNKa0pzJ49G5MpaITdrcpPRwNuuxJ/N1o6efgOu2LwDcrCazQaLk2/lDWFa/AFfEEPPziWMRKAHZXbCLg9RFpjg1k8nTx8UzC05W4Zldc4FA//58A/ABtwsxDiiRGflYqKynmPy+ei0dVIsiGZQDePdlz0uNOemilLJEi46KKLOk0y5OE3tuvoGCMiMAdj+E67UzH2odRLr4Prxl9Hg6uBzeWbg3n4XT3814vWYAroSYhO7pqnD2CK6XrdEWaoefj/A+wPaul8ZSQnpKKicv4jpWTbvm0sK19G9bvV/Pa3v2XVqlUUFChaNFlRWTS7m2lyNZ2W+bhcLuIb4tGP0RMbG9vpRCcP39ER0mn38J1uJZwTis97HCxOX0xKRArPHX1OCenoO7J0SnU6PqndQ4ImBqPJDNLf1cM3xyg/nc2j8jqHavCfBh4QQvxZCDFrBOejoqJynuNwOHjllVfYtGYTAREgd0EuCxYsoLGxkeeff54PPviATKtS0Pt0efmbtm9CH9AzZlq38JKrOTjpjhi+KcKK3mRGo9XhcgUXXds9fDt6jZ4vTv4ie2r2sEXj77Txysq/Y6LQCS1WzBiMwRz/Xj385tF4mUM2+N9CyeHXoYR3VFRUVAbEZrPx+OOPc/LkSVJmp/BJ6idccsklrFixgm9+85tceOGF7Ny5k7wP89D79aclju90Otm9YzdV5irGZYzrerI9ht/YHsM3WCwIITBZrThdPiWkE4zh41EyeW7LvY0JMeP5UVwEpSiSya/XbOedSCt3JV+Iz+XGYNArfc4BD78AMAFvSynVLB0VFZUBCQQCvP766zidTr70pS/hG+tDo9G0q1PqdDpWrlzJrbfeSkNNA5fUXEJh/ehn6mzfvh2v20tebB6p1tSuJ0OxdOnH1dIAQmA0K8bdHBmFy+NTQjr6UMqlchdg1pn52+I/I4A7az/lm+u/ya+PPMHFDidfi1+A296GyRjc9xpczAXOWg8/D1gP3CeE2D1QYxUVFZUjR45QUlLCypUrSU9Pp8peRaI5Eb1G36Xd1KlTuf3224nyRNG0rQm32z1qc2prbWb71s1EpFtoMbb0SBFtj+EDHlsjRrMFoVHMpskaicsjFQ+9m4cPkGVO5InqWmaaUyhtLWV5xhL+VluPdLQhAwGM+uDeA1PHprP252eZh58DaIH/APeO3HRUVFTORzweDx999BFjxoxh9mxlr2aVvaqnRx0kJycH9xQ3OpuO//73v3g8nlGZ17o3X8Tv9+FKLCPaGN1lxy/QEdIB3K3NGDpJJSsGn2CWTsemqnZ8LnI9Xv6ReT1v3/A2f770L5ilxNXaDIBRH6z/ZIzq6GOIAI3urPPwJwH7ge8D94/cdFRUVM5Htm3bhs1mY+XKlWiCHnJlWyUpESl99smYkMGepD2Ulpby0ksv4fV6+2w7FPLz8zlUXMdidlMWKCPD2otuT6f0SJfdhskS0f67OTISp08Es3RCHn5HCcSOAubBc1o9aI247YqOjkkXTEXt7OELoYR1zjIPPwb4AfAQcGaKT6qoqJwTtLS0sGXLFqZOnUpmppJ94w/4qXHUdBFN68646HGURpSycPlCioqKeP311/H7R0ZB0+Px8N577xFv0bCIXZQ563sXanO1gjlO6eNowxjRIWVsskbi8mmVkI7OBIgeHj7QYydtyOAbNb7gQJ08fFAWbs+yPPxfoSzYngBGZw+wiorKecH69euRUrJ06dL2Y/XOenwBX8+YeSdCmjoiVXDllVdy4sQJtmzZMiJz2rhxI83NzVyb5QH8VHpbGRvZSy0nVwvEKF8ELqcLY0SHh2+KiMAntXg1JsUzN1i7xPDbjX/nLByDFZddOW4SwTCVqVsYyRRzZkM6wVq0VUKILwNIKcullB8Hn/9wVGamoqJyztPU1MShQ4eYP39+lw1NVfYqgF5lFUJkRWUBUNhSyAUXXMC0adPYuHEjx44dG9ac8vPz2bZtG7NnzyZLV0elTkcASUZkLx6+uxUilbsQt8vTnqEDYDYpefQuf3DR2WjtEvNvL2De2cM3WnE7lVCPUbgAAYZOWTqgePhnMqQjpfQDR4DxozILFRWV85Lt27cjhOgqV0Ang9+Ph2/RW0i3pnOy6SQA11xzDampqbz66qscOHBgSPMpKyvj1VdfJSkpiZUrV4K9jjK9kh45NqoPD98SBzozbreva0jHHDT4vqAZNUZ1Nfi+UAy/s4cfgcupfBGYcCp9NN3M8Jn28INYgIeEEHuEEO8EH2+PyqxUVFTOeZxOJ/v372f69OlER3cNW4Rj8AFy43I50XgCAJPJxJ133klWVharV69mx44dg5pPaWkpzz//PFarlTvuuAOj0Qj2Ogr0ioeeGZXZs5PbBsZIpD4Cj9ffNaRjUIqPO71BM2qK7pLG2e7hd9lYFYc7WO3K4Lf1jN+3j3PmY/gXAQKYA1zT6aGioqLSg3379uH1ernwwgt7nKtsqyTSEInVYO2lZwe5sbmUtJbgCMbDjUYjd9xxB5MmTWLt2rWsWbOm/5TNfc/D44s4cOAAq1atwmq1cs899xAVFTS09nryDXripYY4U1zXvlKCpw0MEXh0kUhJ15COUTGfrlDykCmqq6EOZenoOhn8iERlLcASgcZj6xm/B1jxO/j+qX7fl6EymBKH4wZuoqKiogJ+v59du3aRmZnJmDE9vfhqe3W/GTohcuJykEjym/OZkaho1Ot0Om677TY+/PBDdu7cyYkTJ7j88suZMmUKen3HJi4pJdXv/JLtzOXQ6tVkZWVx6623EhHy0qUERz2nImOZGBA9L+5zgwwomTUaJc7eJaRjCBp8T6d8+qbijv4hiePORt2aiNvlxWiJAFdN1xz8EHpTz2MjRNgGX0pZMmqzUFFROa84fvw4LS0tSpy8FyrtlaRFpA04Tm5sLgAnmk60G3wAjUbDlVdeyZQpU3j//fd56623+OCDD0hNTSUyMhK/309FRQVNfBEdPhZfMIcly69Gq9V2DO5uJeD3UKDXc6u7lxz/UE69PgK3RvmS6BLS0SsJik5PMFXUFNU1pOPqxeBHJOLyazBGm5UvhKj0Ad+DkWRQRcxVVFRUwmHHjh3ExMSQm5vb6/nqtmrmJfcsEt6dNGsaVr21PY7fnczMTL761a9SXFzMwYMHqa+vp76+Hq1WS2JiIouaXmUy+Vjm3QWdjT2AvZ5ynQ6XRsNEp63n4EFdHAwRuLEAHsUzD6LHi074cblC+fTRXRdtXS2gNXb12COScPt1mIx65XzSlAHfg5FENfgqKiojSkVFBWVlZaxYsaJ9V21nbB4bNq9twAVbACEEObE5fRp8ULz97OxssrOzu57wueE3DyjPe1sEdTVzKqhYOdFpV2LunRdYQx6+wYIbI90NPl4nJq0PVyiIb4xSNlv53KAzKtfsHqOPSMAd0BFj0Ch3A73F8EeRoZQ4vHY0JqKionJ+sHv3bvR6fbtmTncq2ioA+tTR6U5uXC4nm04SkIPc49lc1vG8N4PvbuOUQY8Asr3enrnvoU1UBituaQS6hnTw2DFpfTgdwWyckPEOhXVcrT2zcCIScfr0mA0odwO9xfBHkaHstP3tiM9CRUXlvMDhcHDkyBFmzpzZURe2G2U2xRD3utGpF3Jjc3H4HFTYKgY3maZOxVN6y2v32Dml15OujcAiJTi7VdcKhXT0FlwB5U6gq4fvwKz1tufVtxvvUFinFw9fRiTi9OswB1qVBeGoge9yRpKhGPxelrNVVFRU4MCBA/h8PubN6zs+X24rB8I3+JPiJgFwtPHo4CbT3CnPpA+Dn28wMMGs6PHjtvU4DyhpmQEl/t85LROvQ/Hw24Lt2j38lo6f3Qy+WxoJoMHsVN4DEnpf4xgthmLw5YjPQkVF5ZwnEAiwZ88eMjIySEnpWwWzzFZGjDGGyO6SAn2QE5uDQWPgcN3hwU2ocxinl5COx9VMiV7HxMjghqvOC67QxeC7fBp0wo820Emb3+PAovPiaA1l40R1vVYvBt8ZLJNoaVNq95J49ht8FRUVlR4UFhbS2NjI/Pnz+21XZisj3Rp+OqJeq2dy/GQO1R8a3ITcbYq2vNbQq8HPbyvHLwQTg3cQ/Rl8t09g0vqUjVghvA4iDOBqs+H3+cIK6ThalXNmrVc5F5E4uNc0TFSDr6KiMiLs3r0bi8XClCn9pxqW28rDDueEmJk4k7z6PLz+QWjie+xKQRFTTK8G/6BdWUuYkXqBcsDVzeC3q11a8HilImfs7mTwPXYsJsWEOlqbO3n4fRt8p005Z9F6lViJOL0R8qEY/JoRn4WKiso5TUtLCydPnmTOnDnodH1ne3sDXqrsVaRHDm7D0YzEGXgCHo41DkIp02NXJIv7UJ884KgiyednTFyOcqBHDD9o3A1WXJ4ABq0fPJ3auFqwWJTsHUdzc4dxd7cqOjp+d0+DHwz/mHXe075gC0Mw+FLKZaMxERUVlXOXvXv3IqVk7ty5/bartlfjl/5Be/hzk5Vx99bsDb9TUAenLzGyg556ZvokwhgJiF5COg4lJKQz4Hb7MHX38F0tRFiVvH17S5Mic6zRgb2+Y6xuaZeheL/5jlXwhVfCfy0jhBrSUVFRGRY+n499+/aRk5PTRfO+N0IpmYP18BPMCYyLHseu6l3hd2oP6fQ0+LWOWioCLmYFdEpYxRjV08P3OpT+gNvtwdg9hu9qwRKpLDw7mpsVmePIMdBa2UlWIabLkM7WFnRGI/opV0JsVvivZYRQDb6KisqwOH78OG1tbQMu1sLgUzI7syBlAftq9uEL+MLr4GlTQjq9GPyDdQcBmCWCaZbddXBC/YPFyd0ujxLD75L500xEdAwA9pZm5VhUGrRW9K6jgxLDt0Sd3t21nRmSwRdCfLfT89ObV6SionJWsXv3bmJiYhg/fuD6SOW2cvQaPUmWpEFfZ37KfBw+B4frw0zP7MfgH6g9gAHBZF0wNbR78RJQQjqGCKSUuJ1OjFo/OBo6zrta0Ftj0JvMOEIGPzoNWsrBXqf8bukquexsbcEceXp313ZmUAZfCBEjhHgGuFUI8TUhxCJALXGoovIZpba2lpKSEubNm9erbk53ymxlpFnT0IjB+5oXpV6EVmjZXL45vA5dsnSaFTnkIAfqDjAtoEMf0uM3Rvaelmmw4PO4Cfj9QYPfqJyTUlkINscQER3TYfCj0pSQTkO+8ntcV30fe0vzuePhSymbpZT3Ar8BdgKLgTfD6SuEyBBCfCqEOCaEyBNCfHvw01VRUTmb2LNnD1qttk/dnO6U2cqGFM4BiDJEMStpFpsrBmvwoyHga0+zdPqcHG04ykwfSh1a6D2k43UoOjrBzVJGkxGcjR1jSz+YorHExGJvDsoyRKcr2TmlO8Ac18PDtzc1Yo2LH8rLHxGGGsO/FCU980Ig3KwdH/A9KeXkYL+vCyFOrzaoiorKiOFwODhw4ABTp07tKCrSD1LKYRl8gEvSL+F44/F2AbZ+CaVldpM82FO9B1/AxwVur3Iegh5+L2mZegvONuW4yWLqCOl0itFb4+Jpawwejwpq/BdtgvgJXYbz+3zYW5rPSYMfA/wAeAhwhdNBSlklpdwXfG4DjgEDV0BQUVE5K9m1axcej4eLL744rPZV9iocPgfjYwaO9ffFiqwVAKwpXNN/w0Cga1omtBvpbZXbMGqNzLW3tWfh9B3Dt+AKbpYyR0R2hHRC2jymGCLj4rE11iOlVGL4oIzVzeA7WppBSqyx557B/xXwtpTyBDBIzVIQQmQBs1HCQt3P3R8slL6nrq5uiNNTUVEZTdxuNzt27CA3N5fk5OSw+uQ3K3HtCTETBmjZN2nWNOYkzeHdwncVA9sXoV2yxp4e/tbKrcxLnocpFPIBxcPvHtJxtYAppt3DN0dFdShqdvLwI+MT8LndSugntlMl2LiuVWHbmpS7gIjYbrVzTyNDMvhSynIp5cfB54NatBVCWIE3gO9IKVu7n5dS/kdKOU9KOS8x8fTqTKioqITHnj17cLlcXHLJJWH3CRn84Xj4ANeOv5ailiKONvSjntlJBwdzjPLc2UxhcyFFLUVcknaxEms3dIrh+91K8RIILso2gTkWZ1D/xhQV2zOkY47BGpcAgK2xXrnWsl8p57pVswqFfc65kI4Q4lEhxLPB58sH0U+PYuxflFKGtdiroqJyduH1etm2bRvZ2dmkpYUflc1vyifJkkS0cXhZKssyl6HX6Hmv8L2+G3WSRWjf/ORq4cOSDxEIlqVcFDwf9PA7tQGUOwS/G8yxuEIefkyCEtIJZehA0MNXDLitIRiRuPjb8PVdkHtVlym1NSnhIOu55uEDHqAw+PzycDoIIQTwFHBMSvnXIV5XRUXlDLN//37sdjuLFy8eVL/85nwmxkwc9vWjjdEsyVjC+4Xv4/Q5e2/U2cMPhnSks5m1RWuZnTSbRI0xeD7o4UcoXjr2euVnKHRjjsVpa0VnNKKLSlC+BLyOLjtpQx5+W0OnHP3EXGXnbSfaGhvQaLXnTlpmJxxAdNBjHxtmn4uBO4HLhRAHgo+rBuqkojIUpC+Ap8qOr9k9cONzEBmQ2DaVU/PoAer+cwjn0YaBO40Afr+frVu3kpGRQVZWVvj9An4KWwqHHc4JccfkO2hyN7E6f3XvDdo9/Ih2PZuDLfkUthRy3fjruhh0ACwhgx/00judd7XZMFujlDRLUMI6oUVbYxTW2DiE0CghnX6wNzUSEROHCGO/wmgx1CLmjYATeBTYGk4HKeUW1GpZKqcB18kmmt44ib/FA4B5egKxt+agMWjP8MxGBhmQNL50HOfhegxjI/G3emh47igx14/HelF4dWKHyuHDh2lpaeHqq69GDELat7ytHLffPawF287MSZrDrMRZPHvkWW7JuQW9Rt+1QbuHbwWdAfQWXmvOw6KzcOW4K6Fst3I+ZPBDuvS9GHynrRVTZCRYgrF3R6OymzYiCbQ6NEBEbCy2+v4Nfmt9Hdb4Mxe/h6HvtL05eOg5oO9aZioqpxlXfhP1q/IQJh1xn8sl8vIMnEfqafzvcWTg/CjW1vpRCc7D9URfNY7EB2aS/J05mCbH0fxuIe7SHnkQI0YgEGDz5s0kJyczceLgQjOhBduJscMP6QAIIbhv+n1U2iv5sPjDng06e/hAjSWGNa5yrh1/LRa9paeHHzL4oUXZzga/zYbZGqkIo4Fi7JuKu2ThRCUm01Jb3e+cW2priEnquxLY6WDQO22BPwC/REmpnEiYO21VVEabgMNL4ysn0MWbSfqfGVhmJRG9PIuYa7JxHW/EvqPqTE9x2Hgq2rBtKMMyN5nIS9IRQiB0GuJuz0Vr1dP8Vj7SPzpfbMeOHaOhoYHFixcPyrsHZcEWIDs6e4CW4XNJ+iVMiJnAo/sf7RnLD6VYBsM5z1pNSCT3TL1HOd7d4JtjQWh6D+nYbJgioyAh+GVVfxIai7qkYMampNJUXdnnXP0+H7b6OqKTwkthHS2GEky6D8iWUu6VUj4jpXx3pCelojIUWtYWE7D7iPtcLhpLxy1+xMJUjNnRtK4vJeDxn8EZDp/m9wrRROiJuaar4dSYdERfk423yo5j38jXKJJSsnnzZuLj4wesaNUbBc0FpFnTFO96hNAIDT++4MeUt5Xz2IHHup7slCdfZivjFb2P67B2yDJ3N/gajRKy6W3RNuThm6IUL7/6sKKI2cnDjx2Tir2pEY+r90VkW0M9UgaIOgcNfhPwVSHEI0KIe4UQ4YloqKiMIp6KNuy7q7EuTMWQau1yTghB1PJMAm3ec9rLdxU04ylqIeqyDDTmnstv5ukJ6NOttH5SivQNej9kv5w4cYLq6moWLVoUlkhaj/5NJ0YsnNOZ+SnzuTXnVp47+hyH6jrVvHW1gNAQ0Fv47Y7fohOCbzg7zdvZBFoj6M0dxywJXT18rZGA1qAs2gZ170nIgfyPAdnFw49JUdZOmqt7/3yFwj3RiedQSAdASvl74CvAw0AREP7OCxWVUaJlbREas46opb0njRmzojFOjMG2sYyA+9z08ls/LkUTaSBiQe+l8YQQRC3NxN/sxnmk/wXEweD1evnwww+Jj49n+vTpg+5v99opailiSvwoSGd9+BMedGlIsiTxzfXfJK8+TznuakGaovnHgX+ytXIr3zeNJ8neKZMpuKmqS03ZiISuHr45FldbG0iJJah7T2JuhwRDNw8foLmPsE5LrXLXdc6FdIQQvwKuRxFNq5BS/n3EZ6WiMghc+c24TzUTedlYNKa+E8+ilmUSsPuw7zr3vPx2735JOkLf97+tKScWXbyJtu0j9xo3bdpEU1MTV111Vb/1avvieONxJJKp8VNHbE6AsgFq+z+J3Phnnlz+JAatgTs/uJO/7v0rb9lO8Y34SJ468hS35NzCrfGzoK1W0diBDoPfmYhEcHQ1+KHCJpboYNuEnI72cR0ppjEpypdwU1XvBr+1rgah0RAZnzDcVz0shuLh/xxwB/veLIR4YsRnpaISJlJKWtYWoY02Yr2w/6LQxrFRGLKiaNtaOWoLm6NF29ZKNBH6Pr37EEIjiLhwDJ6SVjyVbV3OtXnaKGstwx8I/w6nqqqKLVu2MHPmzLAKnPRGyOsecQ+/paz9aWZUJq9d8xrLs5bz7JFn+bm7kEM6wXfmfIefXfgzROQYRc64PQunuReD3ymk4wga/KDscURMjHJ82s1wyf+Du96BiI4US4PJjDUunsaKMnqjqbKC6KRkNNozmxo81B0ATwOTgXjgsQHaqqiMGq6TTXjL24haOrZfzzdE5OL0EQ95jDa+ZheuYw1EzE8J6zVGzE1G6DVd1ivcfjfXrb6Oq966ikcPPBredX0+3n77bSwWCytWrBjy/PMa8kiyJJFgHmHvtmJfx3OfmxhTDH9Y/Ac23L6Bd32JbBBjuW/6fUqxFWuwwlZbMHWyNw8/KlWJ/TuboakIYsbiCBr8dg/fEgeX/xSyL+0xnYSxWdSVFvc61fqyEuLTM4fxYkeGoRr8b6Fs2tIBakhH5YzRtrkCbZQBy+zwSuaZJsehizdh21zev9riWYR9p2KkIi4Ib8FPY9FjnpmIY39t+3rFuuJ11DnrmBAzgeePPk+NfeBMnvXr11NdXc0111yDxTK07BopJXtq9jAnac6Q+vdL5f6O57aOL7c4UxxZLjtaUyeDHhl872zB192bwU+cpPys2Ktk4SRMbA/pRMT0X5wdIHFsFg3lZfh9XWvu+rxemqorScgIV5Rg9BiqwS8ATCgSyeqircoZwVNlx53fTMTCVIQuvI+y0Aisi9LwlrfhKbMN3OEMI30B7LuqMU2KQxdrCrtfxNxkpDfQLrnw+snXyYrK4h+X/QO3382b+f1vn8nPz2fbtm3MmzePyZMnD3n+pbZSah21zE8ZuMD5oKk/2fG8tduahaulawFxa3CxtIuHH9O1T1LwdR4LZpon5GBvbkKnN2AwmxmIxLFZBPw+mirLuxxvqqpABgLEZ5y7Hn4esB64TwixewTno6ISNm1bKhB6DdYFg0t1s8xOUkIeu/rfGXk24DxST8DuHbRkgiEzCm2MEcf+WhxeBwfrDrIscxkZURlMT5zOhrINffZtamrizTffJCkpaVihHIBd1bsARsfgO5s7dsi2VvQ819nghzz8thplU5bP2SGYFiJ6LOgtcOwd5feEHBwtzVhiYsPaaJaYqWTtdA/rNJSVKMOln7se/niUcM5/gHtHbjoqKuHht3lwHKjFMi+5yyarcNCYdJhnJuI8VEfA7Ru4wxkgFG5q216FLt6EcULMoPoLjcAyKwn3qSYOlezHL/3MTZ4LwGUZl3G04SjV9p5feE6nkxdffJFAIMBtt92GXj+497Y7u6t2k2hOJCsqa1jj9IqrpSMM0ymkg8+tGPSQ5DEo+fbGaCWk0xgU+u1crASUzVeJuR0Lu3HjsDc3dSzYDkBsajo6vYHq/JNdjteVFiM0GmJT08N/baPEUMXTyqSU64UQY4DakZyQiko4tG2vhIDEevHQqmRGLEjBsacGx8E6rANkvpwO3G43x48fJy8vj9raWlpbW9FqtBi9WqJjY5i8zc3UqVOJjR04lhzCMjsR24YyGveWoREaZibOBBSD//d9f2dj2UZun3R7e3u/38+rr75KY2Mjd955JwkJw1tklVKyq3oXF4y5YNBSDGHhaoExM0EfAa2d0iFDsgrdQzbWJCWkEzL48b1kHSVPU9YG4ieAzoijpZnoMPVvtDodqbmTKMs71OV4xfE8krMnoBvml+dIMFSDv1IIcRJFLbMEZRFXRWVUcXgdPLz9YZL0iXxh5yJMk+LQJwwcW+0NQ0YkumQL9l3VZ9zgFxcX89Zbb9HS0kJ0dDRjx44lKioKx4kGbLUt2I2Sjz/+mE8++YSZM2dy6aWXhmX49ckR6MdEEJdvIHdGLtag9nt2dDZjI8fyafmn7Qbf7/fz9ttvU1RUxA033MC4ceP6GzosilqKaHA1jE44BxSDb46BqDHdDH6HrEIXYsZCQyE0Fii/x/Wi63PFL2DsRZCspJDam5tInTgp7CllTJ3J1leex9HagiUqGq/bRXX+SWZfed0gXtjoMVSDH0NHEfMvj9hsVFT64Wdbf8a6knWsbLqYgP1CIhcPzbsHZVdqxPwUWt4rxFPZ1kOO4XTg8/n49NNP2bp1K3Fxcdx1111kZWWh0WgIOH1UbdqJeeYc4m7JoampiV27drFr1y4OHTrEtGnTuPjiiwesJ2uelUj6B3YuNi1oPyaEYEnGEl46/hJ2rx291PP6669z8uRJLr/8cmbNmjUiry8Uv1+QsmCAlkPA7wOPTTHqkWEa/LQ5sPmvkDABrCkd1a46Y02E2XcA4PN4cLa2DErSeOy0GWx9BcryDpF70WKqTp3A7/ORMWXwO5RHg6Ea/F8Bk6SUJ4QQ5+Y+dZVzijpHHZ+UfsI9U+5hyQcTKLXUkDZu0bDGjJiTRMvaIuy7qzFcPzI67eESCAR44403OHbsGHPmzGHFihUYjcb28/Z9NUhvoH2xNjY2lhUrVnDRRRexbds29u7dy6FDh8jJyWHRokWMHdv7gmDrBD8BAsxv6Lrp6bKMy3ju6HOsPbiWqh1V1NfXc/XVVzN//sh541sqtpBmTSMjMmPExmwnJG9gioaoNCjpVJYjFIPvHMMHSJunbL7KewsyLx7wEqGCJpHx4dfWThmfgzU2jiMbPib3osWc3LEVrV5P2qRRkJUYAmEt2gohtEKIKiHEl2F4RcxVVIbC2wVv45d+btFdTbIjjldiPqCguWBYY2osesxTE3Dsr0N6T5/fIqXk/fff59ixY6xYsYLrrruui7GXUmLfUYUhIxJDWtc7j6ioKFauXMmDDz7IkiVLKCsr4+mnn+axxx5j48aNVFRUEAh0CKcd9+Vz2JJPWkl0l30HEyMmMrtlNofeP4Tb7eaLX/ziiBp7p8/JjqodXJp+6ejE77sY/DHKom3odduC3n5Ut8ymtLkdz3sL53QjVNAkKiF8g6/Rapl+xUqKD+ylLO8QeZs+YfKiJRgtvdxNnAHC8vCllH4hxBGU7BwVldPOp2WfMj1hOpZ9XtxWHZuj9jGp9CMmxA7PM49YkILzYB2OIw1EhLl5a7hs2LCBvXv3smjRIi666KIe590FzfjqnMTeltNLbwWLxcKSJUtYuHAhBw8e5NChQ3z66ad8+umnGI1GMjMzSUlJYV/dPlr0dTTbfFheqkIToaexsZHS0lKyZTZV0VX84Ks/wGIeOdligB2VO3D73SzJWDKi47bTOWwTlQYBnyKLEJkczMkXHamYIayJiv5NYwFc9I0BLxEqSj5Y/ZuZy67kwIfv8eqvfozQaJhz1fWD6j+aDCakYwEeEkIsA0IBMymlPHtejcp5SYu7hSP1R/huxjdxn2omakUWOfZcdlbt5IGZDwxrbGN2NLp4E/ZdVafF4O/evZuNGzcya9Ysrrjiil7btG2vQhOhwzJ9YM/SYDAwf/585s+fj81mo7i4mKKiIoqLizl5UkkP1AkLldpGRFELwqQlMjKSRYsW0RjdyBt5b5Dfls8M84wRfZ0byzdi1VuZlzxKBfE6G/zQnUtrRdDgVygZOVq9clcjZUcd2fvWgc4IxsgBL2FrUDx86yANfkRMLLf/8o/seutVZi6/isSxWYPqP5oMxuCHXJE5wQfAubE3XeWcZnf1bgIywMLyqQh9AOsFKcw/Op8Xj72Iy+fCpAt/B2p3hBBY5qfQurYYb50DfeLIerqdKS0tZc2aNeTk5HDttdf2GurwtbhxHW1QqlmFoZvTmcjISKZPn94uYRwIBFjx6grmpczj3tLb8ZTZGPPgAoRGuW6Lu4XfHP0NG8s3MiNx5Ax+QAbYWL6Ri9MuRq8dpVTEkME3RnVo2ody8Vsr28M5u995g/0fvseX//EEWp2+52arfrDV12GOjEJvMA7cuBvxaRlc+Y3vDbrfaDOYT9S4Xh4jV69MRaUPtlVuI5VkzCf8WOYqG63mp8zHG/B2LXoxRCLmJoMG7LtHvlJUCI/Hw+rVq4mOjubmm29G24dqon2nYrQiLhh+qmiTu4lqdzWTEidhmZVIwObBXdjcfj7aGM2sxFlsKt807Gt1Jq8+j3pnPZem9xQYGzG6h3SgI1PHVgVRafi8Xva+v5q2hnoqjh8b9CVsDXVEDiJ+fy4woMEXQowVQoxF8eZ7PELnhRBRoztVlc8q2yq3ca/7FvBJrBcrntvspNlohIY9NXuGPb420oBpUjyOfTUjXikqxPr162lsbOT666/vskDbmXbdnNw4dHFDv2sJcaLxBACT4iZhnhyHMGpxHKjr0ubSjEs53nicclt5b0MMiXcK3sGgMXBJ+ijKbHU2+BGJILQd8gqtFRCVSsGenTiC4mdFBwb/ObE11A8qQ+dcIBwPfxXwbPBnX49ngRtGY4Iqn23KWsuoba1hQeUkZaNVMOQSaYhkUtwkdlePjJRTxIIUAm1enMcaR2S8zpSUlLBjxw7mz5/f74YmZ149gTYvEReNzEawY42KVzspbhJCr8U8NR7n4Xqkt+NLbWXWSgDWFK0ZkWs6fU7eK3yP5VnLiTZGD9xhqLhaAKGEdDRapfpU3Unw2JVzkWOoKylEaDRkTJ1B0f7BGXwZCNBcU03MAPsczjUGNPhSysuklJcHf/b1uFxK+dzpmLDKZ4ttldu4vGUBBpcW66KuG63mJ8/nUN0h3H73sK9jyolFG23AvntkBdW8Xi9vv/02MTExLF26tN+2bduq0MaZME0MXz6hP441HiM1IrXd8FpmJyHdflwnOr7UUq2pzE2ey7sF746IXPTaorW0edu4JeeWYY/VL66WoLEPmrAxs6DqILQEvfyoVFrraomMTyBj6nQaKsrwOB1hD9/W1IjP4yYmZeib+85GhiqepqIyatQUFbRrim8v38YdTVejT43AOL6rxzg/ZT6egGdE4vhCI7DMS8F9qglfk2vY44XYtGkTjY2NPXLtu+MubsFT0or14tT2RdXhcqT+CFMTOsoKGrNj0Fj1OPZ3lb+6JvsailuLOdpwdNjXfP3U62RHZ4+O/n1nnE1g7vR5GDMTWsvh5Frl9+RptNbXEpWQRFJWNkhJXWlJ2MOHatPGpgxOpfRsRzX4n1Gcxxup/ddByn+6heq/7KFtZxUycOaTrupKinjhh9/m4Edr8Aa8WI4HSHTHErU8q0dWy+zkYBy/evhxfICIecrt+0h5+TU1NWzdupVZs2aRnd1/foNtYzkai46I+YOTeu6LJlcTFW0VTEuY1n5MaAWWmYk4TzQScHaohC7PWo5eo+fdwneHdc28+jwO1R3ilpxbRmezVWfs9WDplHEzRhGGY9v/KceTptBaV0dUYhKJmcp7X1dcGPbwTUGDH6pVe76gGvzPGDIgaXo7n4Zn8/C3ebBemIrGoqP5rXwanjtKwHNmlTLyNq0HIH/3Dg5WHeDmmitwJgUw5fYMc0QZopQ4fs3IxPF1sSZMuXHYd1UPe/E2EAjwzjvvYDKZWL58eb9tvdV2XMcasS5MRWMYmZqneQ1KHdlp8dO6HLfMSgKfxHm4o8RjlCGKJRlLWFO4ZljhsX8d/BdRhihunHDjkMcIG0d91xTLMTNBaMBeC5kL8QcCtDU2EJWYRGR8AiZrJLXF4e/MbqqqRKvTETlMxdCzDdXgf8ZoXVeMfXsV1kVppDw4l5hrskl8YCYx143HdaKRun8fwt/mOSNzk4EAx7duBCEoP3aE6k9PkOyNJ37FhD49xnnJ8zhYe3BE4vgA1oWpBNq8OA4Pr+btnj17qKioYOXKlQOWB7RtKkfoNUQMsshJfxypP4JA9Cgcrk+3oku20Lara4Wo23Nvp8ndxPuF7w/penn1eWws38jdU+9uV+UcVewNXT18cwys/KPyfPJ1tDXWI2WAqIQkhBAkZY2jtrgo7OGbq6uITh6DRnNmi46PNKrB/wzhOFyPbUM5EQtSiL56XHtZQCEE1oWpxN81BV+tg4bnjo5aemJ/tNbXYm9qZMriyzBgYlJeCqdiy4md0rchHMk4PoBxQgy6RDNt2yoHbtwHLS0tfPzxx4wfP759E1Rf+JpdOA7UEbEgBW3EyG1SyqvPIys6q4fxFUIQsSBFKfFY0dZ+fEHKAnJic1iVtwp/YPB3eY8dfIxoYzRfmPSFYc99QKQMevjdVCwvuB9+VA4zbqW1TlmniEpQdk8nZo2nvqyYgD+819ZYUUZc6vm1YAuqwf/M4K130vTaSQxjI4m5bnyvHrN5cjyxt+bgKbXR9Fb+aS/y3VBRBsCkhZcwM24JOqmlYqGr33jwnOQ5CMSI5ONDsObtRal4y2y4S1sH3T8kjBYIBLj66qsHjGXbNir579ZhSD33Rl5DXo9wToiI2Umg02Dv5OULIfjKjK9Q2FLI2uK1g7rWlootbCrfxD1T7zk93r3HDj5XVw8/RFAyobVe2W8Qlajk0SdlZeP3emmsHHi/gdfjpqmqkoSxw68JcLahGvzPAFJKmlfngwbi7pjcb8Fvy4xEIq8Yi2NvzWmv+dpQrhj8eFMa4yKns9O/jdmT+9dSD8XxR2rhFsAyNwmNRUfrR+FndYQ4cOAAJ0+eZOnSpcTFxfXb1tfowr6rmoh5yehihr/RKkSNvYY6Z12XDJ3OaCx6LDMScByoI+Du8HiXZy4nNzaXR/Y9gt1rD+taLe4Wfr3912RFZXHXlLtGZP7teJ3w6AVw9O2uxx3BcJulb536kIcf2jiVFKo3G8bCbWN5GVIGSMzMGvycz3JUg/8ZwHm4Hnd+M9ErstBFD6wLEnXFWIwTY2h5rxBvTXj/+CNBY0UZEdGxONdV0SZtHLXv6hGD7o35KfM5WDdycXyNUUfkZWNxn2rGdaop7H4tLS2sXbuWsWPHsmDBwEU/Wj8uASGIumJki1sfaTgC0CVDpzsRF45Buv049nbISWiEhp9e+FNq7DX8efefB7yOP+DnB5t/QK2zlt8u+i0GrWH4kw8ipSSw/x1k7Un4+JddT9qDevf96OK01tcSEROLzqDMKTY1Ha1eT23JwHH8UBHys0n0bKRQDf55TsDjp/ndQvRp1rD1WYRGEHdbLsKgpfGl4112Zo4mDeWlTEm+GG+VnQ8Da4h0asJK75uXPA+3383husMjNhfrRWPQxhhpWVscVrqqlJJ33nmHQCDADTfcgEbT/7+Wt9qOY38t1oVj0IbxJTwYDtYdRK/Rkxub22cb49goDGMjsW2p6PL6ZiXN4kvTvsQbp97gjZNv9Hudv+//O1srtvLjC348YuJrvnonDc8fpfKX26l8M5VK939ptt+G3+7taNTu4fdj8Otq2+P3oNSbTcjIpKYwf8A51JcWoTMYiU4emRTZswnV4J/n2HdWEbB5iLk2e1AberSRBmJvy8Fb7aB5Tfj5y0NFSom9qoFM/yRa07xsN+9HOLy47G0D9h3pOD6A0GmIWpGFt6IN5+G6AdsfPHiQgoKCsEI5MiBpWp2PMOmIvHTkq0Htrd7L9ITpA6qIRl6Sjr/RhTOvocvxb8z+BgtTF/Lw9od59cSrPfr5A37+tvdvPHPkGW7LuY1bc24d9pyllNg2llP9t724TjVjmZFItGEVJs0e2loupOaRvR1rKqGKVt0XbTvRWl9LZGJXuesxEydRnX+yfVNfX9QUFZAwNvO8y9CB02jwhRBPCyFqg4VUVE4D0hfAtqkCY3Y0xqzB65qYc+OwLkrDvr2qh1EYadoaG5hkWoBGang69W2MiTEANFcNnC0TbYwe8Tg+gGVmIvoxEbR8WNJv1pLD4WDdunVkZGSEVTXKsbcGT3ErMVeOG9HMHFAKvec15DE3ee6AbU1T4tHGm2jbVN5lgV6n0fGPy//BJemX8Osdv+Yvu/9Cm6eNyrZK3i14l8+//3mePvI0t+Tcwk8u/Mmw5ywDkuZ3Cmj5oAjzpDhSvj+P2CsTiNS8RnzaeyQZvoPQBqh/8gjearuy6Qr69PBlIICtvq5Hpar0yVPxul3U9RPWCfj9VBecGlTh8nOJ0+nhPwusPI3X+8xj31tDwOYh8vLwvUiP38OLx17kk5JPCMgA0Suz0KdZaXrjJL6WkYmR90bD/kLGRU7HnuPnw7b1LJym6M40VVWE1X9eyjwO1B3A4x+5PQRCI4hemYW/0dUuW9wbH330ES6Xi2uuuWbAUI6/zUPLB0UYsqKwzBt5Ya4DdQfwS39YhUeERhC5KA1PmQ1PSdeMJKPWyCNLHuH23NtZdXQVC19ayIo3VvDjLT/G5rHxx8V/5BcX/QKNGJ4Jkd4AjS8eU/aGXJJO3B2T0UYZOoz6uEswaIpIWt6KMGhofPk4sqUOdOY+i5jYW5rx+3xEJ3Z9f1NzJwNQcbxvCYm6kiJ8bjdjclSDPyyklJuAkZciVOkV6VdukfUZkRjHx4Td7297/8Yfdv2B72z4Dk8feRqh0xD3uVykL0DjyydGRX4h4PIht9lx+Fr5OHs/GqHhujm3IYSGxjA8fIALx1yI2+8ecS/fmBOLMTua1vWlXePIQQoLC9m/fz8XXXQRyWEoK7asKSLg9hN744QR08zpzJ7qPWiFlllJs8Jqr9QX0GHb1POLVa/V89MLf8p/r/ov90y7h59e8FNeuvol3r/pfa7KvmrYc5VS0vTmKZx5DURfk03MVeM63pO2oN5P1mIAtPY8Ym9VQowtR5MUdcw+1nfac/C7hXQi4xKITkqm7GjfezYqTx0HUD18lXML56E6/I0uopZkhK1rcqLxBC8ce4HP5X6OlVkr+ef+f1LUUoQ+0ULM9RPwFLVg+7RsROcpfQEanjuKzqHloHMzb9W+z6K0RYyJTiMqMTFsD/+CMRdg1pn5pPSTEZ2fEILoa7IJOP00v9N1a77L5WL16tXEx8ezZMmSAcdyHKjFsa+WyEvS0SePTlHrvTV7mRI/BYs+vMpdGoOWiAvH4DrWgLfe2Wub6YnT+e7c73L7pNuZljBt2F59iLZtlTj21xK1dCyR3ZRQsQcNflw2RGdA7THMuXFEXDSGtvpZuA0L+xy3pVZJJ45O6vkFnDVrHiWHD+Dz9H4nWH4sD2ts3HlX+CTEWWfwhRD3CyH2CCH21NUNvFim0hMZkLRuKEOXbME0uf8FxM68dvI1jFoj35j9DX644IdohZbnjz4PgGVOEuZZibR+UoK7qGXE5tn42knchS0cZw8NMS3UOmq5ZaIirRs7Ji1sg2/UGlmUtoj1ZeuHtFO0PwypVqKuGKsUO++0gLt27VpsNhs33ngjen3/sXhPuY3G109iGBc94mmYIVw+F4frDw+6jqz1olTQCNo2j1wRlIFwnWqi5f1CTJPjiLy8l/ejLfg+W5MgaTLUKtr+0cvHohV1NFdd0efdZnONEn6L6sXgj5+7AJ/bTWnewR7nAn4/JYf2kTlzzuiLv50hzjqDL6X8j5RynpRyXmLi+fktO9q4jjXgq3EQdVlG2GEDp8/JuwXvsiJrBdHGaOLN8Vw7/lreKXiHBmcDQghib5iANtZE/bN5XUrlDZWWNUU4D9YRtSKToxVbKNRVkxmVyaUZSmk8xeBXhr3jd3nmcuqd9eys2jnsuXUnckk6+nQrzavz8ds87NmzhwMHDrB48WLS09P77eu3e2l44RjaCAPxd0zqd+PbcDhUdwhvwBvWgm1ntJEGIuYmY99T06eXP5J4q+00vHAMXaKFuNtze/+M2usAoWyuSpoM9SfB70XjriZa9zReeyTOQ707hC011Vjj4nutRZsxdQZ6k5n8Xdt7nKs6dQK33c64WaNUeP0s4Kwz+CrDQ0pJ66dlaONMmKeH/4W5tWIrDp+Da8df237srql34fa7eeXEKwBoTDoS75+BNtpA/aqjeMptQ56nbXM5bVsqsC5MxT9Jh8/jIV9fzZ2T72wPGcSOScXrcraXqRuIy8ZeRpQhijfz3xzyvPpCaDXE3ZpDwO3nyPNbWbNmDRMmTBgwlCO9fhr/ewy/zUP8FyejtY7c5qTubK3cik6jY17K4A1W1LJMhE5D89ujK6nhb3VT/0wewqAl4d5paEy63hvaaxVjr9FC0hTwe6CxEBoKMGu2oIuD1k9Ke/Xym2uqiEnufc+JTq9n4oKLOLF9C15P1ySE/D07EBoNmTNmDfdlnrWczrTMl4DtQK4QolwIcd/puvZnCXd+M97yNiIvTUdow78tXVeyjlhjbJdwQHZ0NkvSl/Dy8Zdx+hTPTxdtJPG+6WjMOuqeOIy7cPDhnbYdlbS8X4R5egLR12S3a+j44oxcN+G69naxY5S4blNl+GGda7KvYX3peppdzYOe10DokyMQS5P4oGYbUdoIbr7xpn6zcqTXT/1zR3EXthB780QMGb1nlYwUWyq2MCdpDhH6wa8PaCMNRC3PVHYXj1IKbsDto/6ZPAJOHwn3TEUX08+Gs7Y6JZwDkByUiKjYC/UnEUISdWkSvjonjoM9vfzmmup+N01NueRyPE4H+bt3tB/zetwc+fQjJsy7EFPEadADOkOcziydz0spx0gp9VLKdCnlU6fr2p8lbJ+WoYlSbtHDxe13s6l8E5ePvRydpqvHdffUu2lyN/FO/jvtx7TRRhIfmIk22kDd00eU3Zph7Mb12700vHSc5tUFmHJjld28GsGR48o/3sp5N2PWmdvbhwx+Y5hxfICbJt6EN+DlvcL3wu4TLh6Ph3ePr0fqBUvbpmJ/tbBPKWl3aSu1jx/Cnd9M7M05RMwZ3dqotY5aTjad5OK0i4c8hvXCVPQpETS/WzjidRGkX9L43+N4a+zE3TEJQ9oARtVe1yGdkDQVotLg2HtwYg3Ejcc8byL6lAhsn5Qi/R1evtftwt7U2KeHD5AxdToxKWPYvfo1ZED53B7d+AmuNhuzVlwz7Nd6NqOGdM4j3CWtuAtbiFycPqg48baKbdi9dpZn9izUMTd5LtMTprPqaFfZXF20kcT/mYkxO5qW9wqp+sNOWj4sxlfv7HKbLf0Sd3ELzWuKqPnrHpxH6olaOpb4u6ci9BqklOw5shGHJcA9s7ve9EUmJKDV68NeuAXIjctlavxU3jj1xoiGJqSUrF69murqam65/VaybpiJK7+Z6j/upvndApzHG/HWOXAXtdDw4jHqHjvYHsaJGIV8++5srdgKwMWpQzf4QiuIuWE8/ha3ovMzQkgpaX4nH9eJJmKun4A5N4xEgrYaiAh6+BoNTLoGTrwPhRtg6o0IrYaopWPx1TtxHOgo2dhco2ToxPTj4Ws0Whbe8gXqSovZ/+H72Brq2fLy86RNmkrG1P7lrM91+gigqZyL2NaXKmXyFgxOA+Sjko+IMkQxf0zPXaJCCO6Zeg/f2/g91petZ1nmsvZz2gg9CfdOxV3QTNu2KmwbypS0TZ1AG2lA+iUBuxf8EjRgyo0jekUW+pSOkMP60vVQ10ZcRnaPVEKNRktM8hiawszFD3F77u38fNvP2VW9iwvGXDCovn2xefNmjh49yrJly5g4cSIAxnHR2DaU0ba9kratHXMUJh2Rl2UQuSQdjfH0/IttrdxKkjmJnNicYY1jzIomYkEKbZsrME+Oxzhu8Du0u9O2qQL7zmoiL03HGo6eUyAAtiqI6lQHYcZtsOvfgIBpNwNgmhqPfkwEtvWlWGYlIbSChjLliyo+vf9MqNyLL+H4tk18+uy/2fziM6ARLP3y187b7JwQqsE/T/CU2XCdaCJqRRYaY/gaIF6/lw1lG7gi8wr0mt5TC68YewUZkRk8dfgplo5d2uWfQgiBaUIspgmx+BpduE424Wt0ErB5QSvQWvXoU62YJsaiMXf9uNk8Nv6y7Y9c0WZg1vTFvV47dkxaWBrmnbkq+yoe2fcIzx19bkQM/tGjR1m/fj0zZsxg4cKO/G99koW423KJuSYbb60DX6MLoRGYJscP6m8wXHwBH9sqt/X42wyV6KvH4SpopuHFYyR9bRa6uKFLNzsO1CqSCTMSiFqRFWanBmWRNrpT9lP6PPhBMTiblU1XKJ+9qKWZNDx/FMf+WiLmJVNfVorQaIhN7T9zSqPRcu2DP2LfB+/QUlvNnCuvJz595HWNzjZUg3+e0PqJ4t1bFw6u6PKOqh3YvLYunnt3tBotX5n+FX6+7ed8UvoJSzOX9tpOF2fCemH41//jrj/ir25GkNTnzsbY1DQK9+0m4Pej0YZnRI1aI5/L/RyPHXyMopYixkUPvZBFUVERb7zxBunp6Vx77bW9GlSNRY8xa2h6RSPBjqod2Dw2Lk2/dETG0xh1JNw9ldrHDlL/7BGSHpjV48s6HOx7a2h6/SSGcVHE3dpH+mVvtAZDeFHdKp2ZY5VHJ0xT4tCnRmDbUIZlThL1ZSXEjklDN8C+CACdwcCC628Jb07nCWoM/zzAU27DdbwR6+K0QYcQ1pWsw6q3cuGYC/ttd+34a8mOzuYve/6Cw+sYznQBJYz0dsHbXGlSYs4p4yf22i4hfSwBv2/QXv5tubdh0Bh47uhzQ55jVVUVL730EnFxcXzhC18YcHPVmWJ1/mpijDFckn7JiI2pT7IQf+dkfA0uGl4YXMnLgNtH85oiml47iXF8DAn3TkPoB2FqWoPhse4GvxeEEERepsTynUfqqS8rJiEjM/xrfcZQDf55QOvHpQizTtkxOQicPicfl3zM5WMvH7B4hU6j4+cX/ZzKtkr+vu/vw5kuxxqO8ZMtP2Fa/DTG2eOITk7BHBnVa9vkbOWLIBwd887Em+O5ceKNrD61mp071w76C6OhoYEXXngBs9nMF7/4xQELkZ8pWtwtrC9dz1XjrkKvHdkvJNP4GGJvmoi7oIX6VXldqmP1hgxIHAdqqf7fvbRtKscyL5mEu6eiMQwyvNXu4YdX9tE8NR5dopnWT0poqalWDX4/qAb/HCfk3UcuSut7E0sffFzyMW3eNm6YcENY7ecmz+Xzkz7Pf4//l93Vu4cwW6i2V/ONT75BtDGavy95hIpjR0mf1HdlptjUVPQmM9UFJwd9rQdmPkCCw8KWv/6TZx78KiWHDoTVr7m5meeffx4pJXfeeSfR0WcmVBMOHxR9gDfgDftvOFgi5iYTe8tE3AXN1P3nUK8V0KQvgDOvntp/7qfx5RNoowwkfm0mcbfkDM6zD9FaCRodRIS3cVBoBJGXZuCrcTLGnE1iVvbgr/kZQY3hn+O0fhL07i8enHcP8Fb+W2REZgxKe+Xbc77NlootPLjhQVatXMX4mPFh9y2zlXH/uvtx+Bw8u/JZqLfjarMxdlrf1ZI0Gi3J48ZTUzA4Dx8UL/+ayin4qAIhyNv48YC7KBsbG1m1ahUul4u77rqLhIS+qyqdDazOX01ubC6T4yeP2jUi5qWgidDT+OpJav62D12ypT2P3tfowlvRhvQG0MaZiL0tR8mYGY4SaGslRI5RdtmGiWV2IvXvHmNyzIV9hgdVVA//nMZTbsN1bGjefVlrGburd3PjhBsHldlh0Vt4fNnj6DV67v/ofsps4aln7q/dzx3v30Grp5X/LPsPuXG5lOUpMrUZU/svj5c8fiK1JYV9Khz2ha2xHv/Jagom+ajLgNKjh/rNza+pqeGZZ57B4/Fw9913k5bWd0jhyIaPObBuDT5vT8nk08XBuoPkNeRx08SbRv1a5snxpHxvLtFXjUMbacBd0Iy7oAXpl0QsSCH+7imkfG8uEXOShy/73FoRVvy+M0KrocpUSqIpA33T+VepaqRQDf45ipSS5ncL0Vj1Q/Lu38x/U9GdH3/dwI27kRGZwb+X/RuXz8VdH9zFuwXv4g30bvjaPG38dc9f+dKHXyLKGMWLV73I9ERlc0vpkYPEjkklMr5/Lzp98jT8Xi/V+YML6xzd9ClSSm688WvkR9Zjb2xsV1LsTklJCU8//TQA9957L6mpfb+nrfV1fPivR/jkqcfY9tqLg5rTSPL80eeJ1EeOWjinO1qrgchL0kn88nTG/OgCxvxoAclfn0XMteMxT45HaEfAnEipKGMmDN5LP16zHa9w07KueFT1gM5lVIN/juI8UIenpJXoFVmD9u4dXgevnniVS9MvJTliaLtAc2JzWLVyFTHGGH685ceseH0Ff9z1Rz4t/ZQNZRtYW7yWX2//NcvfWM6zec9yTfY1vHDlC2RFZwGKFG35sbwBvXuA9ElTQQjKjoZfpFxKSd6Gj0ibNIVls65j8iwlf37X7nU92h4/fpznnnsOq9XKfffdR1JSUo82nTm47n2E0BCTMoaifUNbyxguVW1VfFzyMTfn3By29v05ga1aKVKeMrii6I7WFhqqyrBnuvAUt+I+1Tw68zvHUWP45yABl4/mD4rQp1uxDEIzJ8Rb+W/R6mnlS9O+NKx5TIidwBvXvcGWii28dvI1XjnxCi8ce6H9vElr4orMK7hz8p1MTZjapW9NUT4ep4Ox02YOeB2T1UpSZjZlRw9zEZ8Pa25leYdoqqrkwps+B8D3lv2Uf7/yRdbseJULlt1AjCkGUDZVvf7666SkpHDHHXcQEdG/8JiUkqNbNjBuzjzScqew+b/PYm9uIiImtt9+I81/j/8XgC9M+sJpve6IUn8Kdj4Ol/+0I7++JljyOrnvhfzeKMtTnIHYS8ejabHR8mExxokx5/3O2cGiGvxzkKbV+QTaPCTcOWXQ8VJvwMuqvFXMSZoTdhm8/tAIDZekX8Il6ZfQ5mmjsKUQrUaLXqMn3Zrep/dZelgpQJExJTztkrHTZ7JvzTu47G1hqRke/OgDTNZIJl6o5PnHmGNJyBxHU8NJHtr0EP+49B98/NHH7Nmzh9TUVO68807MZvMAoyo1T9sa6ll46xdIzMgClC+XSRePzKancHB4Hbxx8g2WZi5ljHVwG+3OGhyN8Phi8DkhZixc/G3leHWw/GDy1L779kLpkQMYzGbG5OTgXFpP02sncR6pxzIIifDPAmpI5xzDvr8W54E6oq7IHJLc7tqitVTZq7h32r0jPjerwcqMxBlMjZ9KTmxOv6GGgn27SBo3Hkt0TFhj51xwMQG/j4I9Axc3aWtqJH/3dqZeekWXIhjjJk4nyW5hf9k+/vz4n9mzZw8LFy7kS1/6UljGHqAwGMLJnj2fpOzx6E1mKk4cC6vvSPFW/lvYvDbunHLnab3uiFK2UzH2APtfVGL3AJX7IXosmGMGNVzpkYOkT56GRqvFMjsJXZKZ1nUlXZQ0VVSDf07ha3DSvDofQ1YUkZcNXvfD4/fw6IFHmRQ3aUR3ZQ6WtqZGqk6dYOL8i8LukzIhh8iERE7u2DJg28PrPyTg9zNj6ZVdjidlZePVW7i68mo8TR4yF2eyfPlydLrwb3QL9+4iOXsiETGxnVJGT4Xdf7i4fC6eOfIMMxNnMjNx4HDYWUtNnvJzxe+h/gQUbwG3DU59DBN7l+7oi8bKcpqrq8iaOQdQ8vKjV2Thq3PStm1wwnvnO6rBP0eQ/gANL58AIYj73CB0STrx8vGXqWir4MG5D45YIeqhULBnJ0jJhPn9yzl0RgjB5IsvpejAXmyN9X22c9pa2fvearLnzCcutWtaZVNA4MyYQIzZSv3seh6peERR6wyTtqZGqvJPMGFehyBbKGXU7zs96ZkvH3+ZGkcN35r9rdNyvVGjJk8J5cy7V5FB3vwXOPKm4vXP+Nyghgrd9Y3v9HcxTYnHNCmO1o+K8TW5RnTq5zKqwT8HkFLS8kEx3jIbsTdPQBczePXCVk8r/zn8HxamLmRh6sKBO4wix7dtJDY1nfhBboGffvkKZCDAkfUf9dlm51uv4nE6Wfz5u7sc37ZtG59s3oLWaWdGUhz/e9X/MjV+Kt/f+H0+Kf0krOsX7t0FwPhOX1Qp4yfi93qpLx05/fi+aHG38MThJ7g47WIWjFkw6tcbVWqPKoVN9GZY9B1F5/7dbymLtRmDe22ndm8nKWs8UQkd2VVCCGKuHw8Smt8uGNm5n8OoBv8sR0pJ67oS2rZUEHHhmCEvQv1979+xeWw8OPfBEZ7h4Gitr6P86BEmL7p00BkUMSljyJo1l31r38Xt6LnFv6W2mgMfvsfUJUtJGJsFQCAQYN26daxbt44pU6YwVvhoLCvGorfwr6X/YlLcJB789EEe2ftIn3sJQuTv3k50ckoXrZYxExT9+aFIPwyWpw4/pfwN55zZv+Gw8bmVDJ3QwuyFX4Or/1fx7O96BwbxuagrLabq5HFyF/aU19bFmohalonreCOuE40jNftzGtXgn+W0flyK7dMyIuanEHNd+DIGndlXs49XT77KHZPvYFJc7zLEp4u8jR8DMPniJUPqv+j2O3HZWtnx5itdjksp+eiJRxFaLQtvU1IV3W43r7zyCtu2bWP+/PnccsstpIzLpraoACkl0cZonlrxFDdNvImnjjzFvWvvpdzWu8iax+mg9MhBJsy7oMsXVVRiMqbIKKpHOY5f1VbFi8de5Nrx15IblxtWH5/XS11J0RndDdwrNUdA+iElmKElBMz/Mtz0b4iIH9RQBz58D53ewPTLe1ZrA7AuTEUbb6L5/UKkd2TLNp6LqAb/LMa+pwbbJ6VY5iYTc+OEIcXtXT4Xv9j2C9KsaXxj1jdGYZbhE/D7OfTxWjJnzCYmZWjphMnZE5h++XL2vre6XZpBSsnml1ZRcmg/S+68j8i4BCorK3niiSc4efIkV155JVdddRUajYakrGyctlbaGpVC3WadmYcXPsyfLvkT+c353PD2DfzrwL9w+brGfYsP7sPv8zF+Xtd1ByEEKeMnjojBry8tprGXgu1SSn6383cIIcL+G3pdLl7++f/juYe+yau/+lF77dazgvI9ys/08DWcesNlb+Po5k+ZtOjSPtVWhU5D7PUT8NU6aV5TNKzrnQ+oBn8EKD60nw8f/8egJXz7w76/lqY3TmKcEEPsEI09wOMHH6e4tZifX/TzM74jM3/PDtoaG4ZdKHrJXV8mJmUMb/7+YT76zz959Vc/YvfbrzNj6UqmXb6CzZs38+STT+J2u7nzzju54IIOrzxlvBKCqTx5vMuYV467ktXXr2ZJxhIeO/gY16++njWFa/AFfAAc37oJc1Q0ablTeszHkp5MfVkx3/nwm/xt79+od/a9qNwXJ3du5fkffof//uS71JV0NUzvF73PhvINfGv2t8LKuw8E/Lz/f3+hpqiAqZdeQdXJ4+TvHTid9bRRvkcRRwtT/rgv8jZ8gs/tHvDzZMqJxbooDfv2KpxHG4Z1zXMd1eAPE3tzE+//488c+XQdLz/8A5qqh58GZt9dTdOrJzBmRxN/15RBFSTvzLbKbTyT9ww3TLjhjC/UAhz48H2iEpPInjM8z85gtvC5X/2JcXPmcXzbJlrr6rjiSw8w9+YvsGrVKj755BMmT57MAw88QHZ2V6ncpHHj0RtNlB/rKdOQEpHCXy79C0+veBqrwcoPNv+Apa8t5c8bf0v+nh1MWXxZe9Utr9/L/tr9PLTxIf5ZvQokNJQU81zec1y3+jr21+4P+/W4HXY++s8/Scwch85gYMNzT7afq3XU8vudv2dW4izumHxHWONteuEZCvbs4LK7v8Ly//kWMclj2Pf+22HPp/+5OigeIFNqQMp3K979MHbBelxOdr/zOmmTppI8buBQZ/TKLPSpETS9fhJ/i3vI1z3XUQ3+MNm1+jU8Dge3/PQ3aLU61j72CIHA0GKFUkpa15fS9MYpdFlW3At1gy8eEeRE4wm+v+H7ZEdn88MFPxzSGCNJbXEhZXmHmLH0SjSDkL3tC0tUNNd998d889lX+fL/PUkgcQyPP/44NTU13Hjjjdxyyy29Fi3R6nSkTZrSvhW/N+anzOe1a1/jkcseYVbSLPZt+AAZCPB376vc8s4tXP3m1cx/cT53fXAXmyo2cfmFN4IQfC3uC7x1/VvEm+L56kdf5UTjibBey+533sDVZmPZ/d9g+hUrKMs7jL25CW/Ay/c3fh9vwMuvLv4V2jDet4MfrWHv+6uZteIa5lx5HRqtlkkXX0LF8aM4ba1hzacvGsrLeP6H3+KN3/+CZ7/7NVrrawc/SFMxNBVBxvBqDe9+503szU1cckd4GwiFTkPc5ychfQEa/nt8UBW8zidUgz8MfB4PRzd/ysQFF5E5fRaX3/s/VJ44yt4helO2T8uU3YHj9Ly65Xe88quHOPDh+4Mep8xWxlc//ipmvZlHr3iUCH3/+jCng83/fRZThJWZ3TZDDZeWlhZefPFF3nnnHVJTU3nggQeYOXNmvxlA6VOm01Beir25qc82GqHhirFX8Lclf2NpyzT06fHkTJzNGOsYJsVN4kvTvsSfL/0z625Zx/cW/5CU7AkUH9pPVnQWT614CqvByjfXf3PA8E5bUyN733+bSRdfSvK48UxaeAlSBji5Ywv/3P9P9tfu55cLfxlWXd7iA3v55OnHGTd7Hpfd/ZX249lzFyBlgKIDewccoy+aqit57Tc/wed2c+U3voeUko+ffKzvDm4bHPivkm7ZmSNvKD8nD16lNYStoZ49775J7sJLSM0JPwlBn2gh9pYcPCWtNL2V/5lU1FS1dIbBqd3bcbXZmH75CgAmL76MU7u2sfXl5xg3a27YpdakL0Dze4XYd1RhnpXIO7v+TkRsDLGpU1n/7L8ZMzGX5OwJYY1V76zn/nX3K5o5K1eRah28dHK4tNTWsOXl58i5aFG/u2ZLDh2g+OA+Lv3ilzBZB9bBCQcpJfv27WPdunUEAgGuvPJK5s+fj0YzsA+TNXMOW15aReG+3X1md4Sozj9Jc0U5y+7/BjMuWdlnu8wZc9j19mu4HXaSLEn83+X/x90f3M23P/02Ty1/CpOu970T2157kYDfx8W3fRGA+PSxJIzNYveG93l68lZuybmFK8cN/CVZV1rMu4/8gYSMTK759kNdCr6nBHcGF+zZyZTFlw04Vnda62t57dc/we/z8bmH/0B8+lhs9XVsefk5GsrLiE/vZdf31n/Apj8pzz//CuSuhIAfDr0K6QsgdmhlCAN+Px8+/nekDPTYaxEOlhmJeGsc2D4pRZ8SQeTi4a0jDBe/L0BNUQu2BhfNtU78vgA6vYbYlAgmzEsacfE31cMfBkfWf0h0UnJ7xSYhBEu//HUMZgtrH/sbfp9vwDF8jS5qHz+IfUcV1kvSKY8tpLGijEu+eC9XffP7WKJj+PDf/whrrMKWQu5Zew8NrgYeu+KxQVWjGizONhuv/upHHN+6kXf+8lsOfby213YBv59NLz5DVGLSsBdrQzQ1NfH888/z7rvvkpKSwgMPPMAFF1wQlrEHRWIhKjGZU7u2Ddh23wfvYDCbyb2ofymKrFlzkIEOL3pK/BR+v/j3HKo7xE+3/pSA7BlCqC0u5PD6dcxacU2XrKUxc2diKypnii6bh+Y/NOAc25oaeeuPv0RvMnPjD36Bwdw1lCU0GrLnzKf44N5B7whua2rktV//RAlb/uTXxKePBWD6FSvQ6nQcWNfHHeixd5SwTcp0ePN+KNoEG34Pdcfhgv8Z1Bw6s/GFpyk5tJ8r7nuA6KShSXtHXTEW87R4WtYU4jwD+fl+X4Diw/V8suoozzy0hbf+dz8fP3uMvR8Uc2h9ObvXFLP19VOjovSpGvwh0lRdSemRQ0y7bDmik6GJiIll6Ze/Rk1hPhuff6rf20bn8UZq/m8/vjon8XdOxrwkma2vv0japKlMmH8RpggrV9z3AHXFhex5981+57O5fDN3vH8HNo+Nfy/7NzMSB6cnPli2vfoCtvp6PvfLP5E5Yzbrn3mc+tLinvN6aRW1xQVccse96Az9F0ofiEAgwM6dO3nssccoLy/n6quv5u677yYuLm5Q4wghmLjgQkoPH8Blb+uzXUttDSe2b2bG0isxDlDEPDVnEhGxcZzYtrn92NLMpTw490E+LP6QP+3+U5fPgpSSDauewGSN5KKbOySf6531PO55C4C7xUrMuv5F3TxOB2/+4WFcNhs3PvTzPovJZM+9AI/TSfnRvH7H64zT1srrv/kp9qYmbvrRw10WRy1R0eRctJijmz7B43R07Vh3UjHs026Bz72kCKGtuhY2/Rmm3aw8BomUku1vvMS+NW8z+8prmX5Z/3dm/SE0gtjbctGnRND43+N4Kvv+DIwUUkqq8pvZ8OJxnnloC+8/eojC/XVkTU/gyq9O5/O/uICv/nMJX/3nEv7nH5dy4/fnjso8VIM/RPa8+yZanY5pS3oKPeVcuIg5V13P/rXvsuG5J3sY/YDLR/N7hTQ8m4cuxkjyt2ZjnprAtldfwGlrZcldX27/dp84/yJyLlrMttdepOpUz0VAKSXPHnmWr3/yddIj03n56peZnTR7dF50kNriQg6u+4CZy68kbdIUrvrm9zFYIlj7r0e6lCE8uWMLe959k5nLryb3op47IQdDfX09zz77LB988AFjx47la1/7WtghnN6YvOgy/D4fx7ds7LPN1leeR6vVMefKgePNGo2WnAsvpujAni5fIvdOvZc7p9zJi8de5NEDj7Z/Fk5s30zZ0cNcfNsX28Ncu6p2cfcHd1OurScudzxlm3f0e2fn83p556+/p760mGsf/GG/Yb/M6TPRGYyc3Dmw+BwomUNv/O7ntNRUc8NDPyc1p2fN3FnLr8bjdHJ006ddTxx/V/k56WqIyYD7N8ANj8MXXoWbnhx0do7P6+WDR//KtldfZPLiy1hy55cH1b83NAYt8XdPQWPSUvfEYTxltmGP2RvNNQ52vlPICz/bzpt/2ceJHdWMnRrP1V+bwZf+vJil904he1YicWMi0AQrhun0WqITw1NvHSxqDH8ItNbXkrfhY6ZdtgxrXO87A5fc9WWQkn1r3sZtt7Ps/q+j1elxHK6neXU+AYeXiAtSiLkmG6HXUpZ3iP1r32Pmsqt6FGFe9uWvU51/grf/97d87pd/IiY5BQC3380vt/2SdwvfZXnmcn598a9HPddeBgKsf+bfmKxWFgbjzpaoaJZ95eu887+/4+2//IaLb7+Tgr072bX6NcZMzOWyu4f3D7pnzx7Wrl2LTqfj+uuvZ9asWcO+3U0aN57ErGwOrf+Qmcuv6jFedf5Jjm3ZwIIbbh2wBGOIqZcuZf8H73Jg7XtceLMiACaE4Pvzvk+bp41/H/o3No+Nr0/8Cp889S9SJuQw44oVeANefr/z97x28jXSren8a+m/iJ0c4K0//pKjm9f36s36PB7e/dvvKTm0nxVf/TbjZvef6qo3msi9aBHHtmzkkju+1O8di9PWylt/+hV1JcVc//9+0meR+TETc0mZkMPOt19j6pIr0BuD6xRH34G0eRAdjI9b4mBWeIVruuNobeHtv/yWyhNHufi2L3LBTbePWKhDF2Mi8X9mUvfkYeqeOEzc7bmYpw5up293ZEBSktdA6ZEGaopbqS2xIQSkT4plwTXjGDcrEcMgK9SNJKrBHwIbn3sKodGy4IZb+2wjhGDJ3V/BGBHB9tdfwl7XyKLcW/AeaEGfbiXh3qkY0hU9+4aKMt595I/EjEntdSHKZLVy4w9+wSsP/5DXf/tTPvfwH6nVtvDTLT/lcP1hvjHrG9w/4/7TUt3nwEdrqDiex/KvfguztUOPf+KChSy7/xusf/pxXvyxovWSu/ASlt73NbQ6/ZCu5ff7Wbt2Lbt372b8+PFcf/31REX1vqNysAghmLXsKj564p+UHj5I5oxZ7eeklGx84Wks0TEsuL7vv3F3kseNJ3vugva0yJDnrhEaHl74MFaDlefznsfxyg5iXeBbMZF/HPg/NpZvJL85n3um3sPXZ30dk86ETAwwZkIuW156jokLFnYp+uJxOlj9p19TduwIS7/8daZdtiys+c1cfhV5Gz/hyKfrmHv1Db22aa6u4s0/PExrXQ3XfPshsmfP73M8IQSX3vElXvnlD9nxxsss/sI90FQCVQdg2a/Cfdv6pKG8lLf++EvsTU1c850fDPsusTd0cSaSvjqD+lVHaXj+KJGXZxC1NHPQGx39vgCn9tSwf10pjZV29EYtCelWFt48gZz5yUTEGAce5DQgzubUpHnz5sk9e/ac6Wl04fCn61j3+D+4+LYvtntx/SG9AQpe2IQ86sKksdAc00jSrdNJGp+NDAQ4tmUDG59/CqHRcPvDfyAuNb3PsaryT/Dar38KJh2rZxTgitXx64t/zRWZVww4j0DAz7HNG6g4cZSMqTPIvWjRoPPhq/JP8MrDPyRjynRu+tEve/2CaamtobrgFAkZY9sX+IZCS0sLr7/+OmVlZSxcuJClS5cOOXzTFz6vl6e+eR+RiUl87pd/bH8/9q15m09XPcHSL3+dmcsGl0ZaW1zICz/8DrNWXs3l93RdnJRS8tyq31L/wQ52Tm7k2DgbOo2O8dHjeWDmAz3+jjWF+bz4k++SNXMO1333x+gMBkqPHOTjJx+luaaaK7/+XSYvWhL23KSUvP6bn1JbVMC9j/wbS1R0x7lAgIMffcDml55Fo9Vx/f/7qVJLOAw+fPzvHNnwMVd+/btMsa+Dnf+Gb+0fciYOKHdYr//uZ2h1em74fz9jzMTw9IOGivT6aVpdgGNvDaZJccTdnovG3Lc/7PcGqDjVRPmxJirzm2moaMPnCRCXGsGcFZlMmJuEdogbJoeLEGKvlLLXWz7V4A+C41s38sGjfyVj6gxu/MEv0PZTOENKietEEy1rivDVOtCOtXDKv5+9298j4Peh0xsIBAIE/D6Ssydy5Te+S3xa30VNAjLA+tL1fLrnHYzvnMTk07H47vu4cNkNA3r2Pq+XD/7vL5zcuRWd0YjP7SYpazyXf+mrpOX2jM32RkN5Ka/88kfojSbu+N1fuxgLUBZUm5qaqK+vp66ujvr6elwuF2azGaPRiEajIS4ujuTkZFJTU9Fq+/6yyc/P580338Tr9XLttdcyY8boLUDnbfyEtY/9jVkrruaye+7nxPYtfPDP/yV7znyu//5Ph3TX9PGTj3Ho47Xc+rPfdCnSXnxgL2/+4ZdMWHAh07/0eaKMUcSaYvutTXDwow/4+MlHiYiNIyI6ltriAmKSx7Ds/m+EVQ+4O/VlJTz/g2+TljuZa7/3Y0wRVqpOnWDjC09TeeIomTNms+wrXyc6KSXsMb1uF2/87udUHD/K+MgmcqZOIP76n+F2OHC0NmNvaqK1roaWulpa62ux1dXidbuQEhLGZjLnyuuYcsnl7e915cnjvPG7n2OOjOTWn/1uyNk4g0VKiX1HFc3vFqKN1BO1chyWmYnt3r7fG2Dnu4Uc316F1+XH5w2g0QmSM6NIyowiY0ocY6fGnfE6uqrBHyY+j4dNLz7D/rXvkjZpKjf+4Bd9xkCllLjzm2n9qARPqQ1tnInY68djylUySRwtzRTs3UVDRRkarZa03Clkz57XJdOnOwdqD/CHXX8gryGPCH0Et4y5lrQNLVQeV/5BF956B2Mm5vb6QXM7HLz3yB/a8+DnXn0DJ7ZvZuMLT9PW2MCUxZex+I57scb2nelSfuwIb//lt2h1Om77xR+IS03D7XZTV1dHUVERhYWFlJWV4eu0wGi1WrFYLDgcDjweD36/H79f2YFsMBgYN24c2dnZjB8/nvj4eIQQtLS0sGvXLrZu3UpiYiK33XYbiYmjX5N0w3NPsPf9tzGYzXicTlJzp3Dzjx7ukd4YLh6ngxd+9CAuexu3/fx3JGRkUn70CKv//GsiExL5/K//jMEU/qJc6ZFDHFz3Ps42G1kz5zD7ymu7lG4cLMc2f8qaR/+KRqNBZzDgcToxRVhZcvdXuhjeweB32tjz28+xu8CPO9DTEdIbTUQlJhGdlExkfCIGiwUZCFBy+AB1xYXMuep6ltz1ZZy2VlZ9/+sYTGZu/fnviEo4/TVp3aWtNL9dgLeiDX2aFevyTGocfg5tKKfiRBPZsxOxxhrJmBxHem4suiHuhh8tVIM/DOpKi1nzjz9TX1bCnKuuZ/Hn7+41vdDn9tJ8qILWLeUYaiQ2k5Ot4/LYkXQER8BJojmRzOhMLsu4jJmJM8OqOOUP+Hni8BP86+C/SDQn8q053+LqcVej1WiRgQAHPlrDlpeew+N0kDJ+ItOvWEnqxFyik1PQ6Q2UHzvCx08+RlN1Jcu+8o0um4w8Lic733qVve+9hVavZ+ayq8i5cBHJ2RPa/+EdrS0c+fQjtr36ApbkVObedictDifl5eUUFxcTCCowJiUlMW7cOJKTk0lMTCQhIaFHjVgpJS0tLVRUVFBYWEhhYSFNTcpO14iICIxGI42NSk70rFmzuOqqqzAMM41zMJzYvoWyvIMkZGQx7bJlw04hbays4NVf/Qi33U5y9gQqThwldkwat/zkV10KdZwp6kqLObFtE26HneTsieRcsHBwX3B7noaDr4AhQqlcVbQJGgsIXPcYjQkX01RdidFixRIdTURMLCZrZK9fJFJKPl31H/Z/8C7Lv/otig/sI3/3Dr74h0dIDNY0OB14PX4aK+zUl9uoL2vD0eom2uYhsd6JWUCVN8BJr2TO53KYvHBomxmllPhb3ATsPoRWgEYgfQGkN6DcRWgFQiuQngD+Ng/myUNbQFYN/hCQUrJ/7btsevEZjJYIVn7tQcbNUnJjW9wtnGo6RWHpSVqL6zBXCObXTcYSMFGpr+XNhPXkpZZgMpmx6CwYtUZqHbWU2ErwBXwkW5K5eeLNfH7S54kxxfR67S0VW/j7vr9zoukEV2dfzc8u/FmvEgkep4Ojmz5l/9p3aaxUtNw1Wi1anR6v20VkfCIrv/Zgn5kWTVUVbHrxWQr27kQGAkQlJpM6eRoNzS2UV1biN0cgrNGEfHchBImJiYwfP56MjAwyMjKIjBx8MXWAxsZGCgoKqKysxOPxkJyczNSpU4mPH16mxNlCa30tW19+nqbqSsZOm8m8a2/qsvh6zrLlEfj4F5AyA2QAWishYSJc8tCg69GCsr70+m9+RvnRI0gZYNHn7uKCG28b8Wl7nD7amtw0Vdupym+h4EAtLruPgD9AwNdhBw0mLdY4JeMoPsVCeiBAZEUbwhfAPDMRQ1okujgjpty4foUN/TYPnnIbnvI2vMGfblsbRvF3DJoBCt+LSOJ/u29Id1tnjcEXQqwE/g5ogSellH/or/3pNPgyEKCpupKaogIqTxyjcN9uWutqSJo+Beu18yjyltNUXoulQmCy65numMAkl6Jv4hd+ysY205TrJXpiMvNS5vWaHtnmaWND+QbeK3yPrRVbMevMXJN9DQtTF2LWmbF77RyoO8Dm8s0UtxaTbk3n23O/zYrMFQP+4aWU1JeVKI/SYnxuN8nZE5gw/8J2z01KiRACr9dLW1tbl74VpSUc3rOH8soKHH7ZnisdHxtLRmYmKSkppKamkpKSclo9b5WzCK9T2S279e/K5qkb/wPakUn0c7bZ2PLfVbjsbVz9rf/XRRqiMwGXC9snnyBtTQQqD+H3+vF5Avi8Skzd6/Lj9weQAYn0SwIB5eH1+PE4OkQNAxqJywJSL9AIQAj0Ri16oza42CqpbHHQ5g7uK5EgPX6kN0DIYgpA6DUIvWL0ZQAIXpuApLNpFRrFo2/yefCFYXLNOsEDL7xz7hp8IYQWOAksA8qB3cDnpZRH++ozUgY/IAO4fC7sXjsulwOHsw1bfQNtdXW01NbSdKoIV3ENZr+JCF00FmMMWmskfqMend5MrC+SaH8khoAePwG8wo8z3o9uQjT+OD3SJPBrJD6fD6/Xi8fjURZkAwFsNht+v5+AEFToTQQQCAFOn5OKtgqczQVofUq5PolEIzTEm+MZGz2W8XHj0Wl1Xf7oUko8Hg9utxuv19s+fonJysHIBGRwHKRUnkvluT8QIOAPYPJ5mVV6EqO/5xb7/9/e2cbYUZVx/Pe/23ZXy0upVG27lpYKMUhqW5SAVRITI1A+FKMmjRgxIeGDlmBMNSUkpMb4gkQixkBSYxMkBhIVkSpW0WBqSJUW6BupldaiVmpbK7SLXbrdnccP52x3enfm7u7d+zJ75/kls/fMmWfm/Oe5c549M/fe51Qk5s2fzyULFtDb20vv/Hn0dPdglmBmJEkSJtIwi+tDWGIMDQ6RDIWyYQgNv+dIIkgI/jCzcLwkdkozSEa2DQ6c5syb/eF5f2xn2Maw0JmI9YmdaxOP3d93kr7jWUnLJnmtZ+zejN4zqS6Zu28dBx0cgNMnsP4TcOo41nck5MO5aCG8cwmmytnrjCRed8NNpZozwvfTkyS8Z5aEPmlJGGgNDvWRxECZJBaCa9KNJdOIl/LZ97v72EEGB17j5Dmpier4kHQcu3QlMHNgDEPLXcmkZxAueLOq+bNv+Mj+Xd0Vbtr8y7FFZlCUgH8tsN7Mro/rdwGY2Tfz9qk34H939WcwqnOXjOc8x7axBh1n7F6dt72R52FAwqge2gmo/RlCneYg9VCZvhA0mbsLUZnWiyoX5ltUZqJJtVE//ZV+1j54U1371gr4rTyb+cA/U+uHgFFJsSXdDtwOsGBBfd/j7tIMzr3xmgjKKI3PfjzVE9NTv/axLVS1hLpwM6Eqm5E6jdpmVIb6EEMp27x/Hlm+VZWFEJVUe2OfUbWNqCBVauioJstuAv8Axz1oqrbTxNqZrM4M20z/Tuh8UgMGS+LxRo9YszVYVdXY53eqB55/7yD/6/oHJyrhn/qQhjjTNUCi9DU4gmz0NRY4eM726mty1JFy7KpLZqPbPHtMq1ofrTb8TWaxlvoCfi1aGfCzrq1R77CZbQA2QBjh19PQHY9urGc3x3GcjqaVPwU7BKR/WdQLTH4+QMdxHGdctDLgbwMuk7RI0gxgNfBkC9t3HMcpNS17pGNmg5LWAL8hfC1zo5mNPzm34ziOMyla+hG0mT0FPNXKNh3HcZyAT4DiOI5TEjzgO47jlAQP+I7jOCXBA77jOE5JKHS2TEnHgL/XufvFQFZClSIxFTSC62wkU0EjuM5G0mqNl5hZ5kQChQ74k0HS9rx8EkVhKmgE19lIpoJGcJ2NpEga/ZGO4zhOSfCA7ziOUxI6OeBvaLeAcTAVNILrbCRTQSO4zkZSGI0d+wzfcRzHOZdOHuE7juM4KTzgO47jlISOC/iSbpC0T9J+SesKoOcVSbsl7ZC0PdbNlvS0pJfj60Up+7ui9n2Srm+iro2Sjkrak6qbsC5JV8Xz2y/pe6pn1uWJaVwv6V/RnzskrWyzxndJekbSXkkvSboz1hfNl3k6i+bPHknPSdoZdX411hfGnzU0FsqXmVhqEuipvhDSLh8ALgVmADuBK9qs6RXg4qq6bwPrYnkdcG8sXxE1dwOL4rl0NUnXdcByYM9kdAHPAdcSZjT7NXBjkzWuB9Zm2LZL41xgeSyfD/w1aimaL/N0Fs2fAs6L5enAn4FriuTPGhoL5cuspdNG+FcD+83sb2Y2ADwGrGqzpixWAQ/H8sPAzan6x8zstJkdBPYTzqnhmNkW4L+T0SVpLnCBmW21cPX+KLVPszTm0S6Nh83shVjuA/YS5m8umi/zdObRLp1mZm/E1elxMQrkzxoa82iLL7PotICfNVF6rYu6FRjwW0nPK0zQDvAOMzsMoSMCb4/17dY/UV3zY7m6vtmskbQrPvIZvrVvu0ZJC4FlhBFfYX1ZpRMK5k9JXZJ2AEeBp82scP7M0QgF82U1nRbwxzVReotZYWbLgRuBL0i6roZtEfVDvq526H0IWAwsBQ4D34n1bdUo6TzgZ8AXzexkLdMcPe3SWTh/mtmQmS0lzHt9taQra5i3RWeOxsL5sppOC/iFmyjdzF6Nr0eBnxMe0RyJt3PE16PRvN36J6rrUCxX1zcNMzsSO1sC/ICRR15t0yhpOiGI/tjMHo/VhfNlls4i+nMYM3sd+ANwAwX0Z7XGIvtymE4L+IWaKF3STEnnD5eBjwF7oqZbo9mtwC9i+UlgtaRuSYuAywgf6rSKCemKt9Z9kq6J3y74bGqfpjDc6SMfJ/izbRrjMX8I7DWz+1ObCuXLPJ0F9OccSbNi+S3AR4G/UCB/5mksmi8zaeYnwu1YgJWEbyAcAO5us5ZLCZ/O7wReGtYDvA34PfByfJ2d2ufuqH0fTfzEHniUcNt5hjDSuK0eXcD7CRf2AeD7xF9vN1HjI8BuYBehI81ts8YPEW7DdwE74rKygL7M01k0fy4BXox69gD31NtnmqWzhsZC+TJr8dQKjuM4JaHTHuk4juM4OXjAdxzHKQke8B3HcUqCB3zHcZyS4AHfcRynJHjAd0qBpFmSPp9anyfpp01q62ZJ9+RseyO+zpG0uRntO04eHvCdsjALOBvwzexVM/tkk9r6CvBgLQMzOwYclrSiSRocZxQe8J2y8C1gccxTfp+khYp59iV9TtITkjZJOihpjaQvSXpR0p8kzY52iyVtjonw/ijpPdWNSLocOG1m/4nriyRtlbRN0teqzJ8AbmnqWTtOCg/4TllYBxwws6Vm9uWM7VcCnybkP/k6cMrMlgFbCT95hzAZ9R1mdhWwluxR/ArghdT6A8BDZvYB4N9VttuBD9d5Po4zYaa1W4DjFIRnLOSJ75N0AtgU63cDS2KWyQ8CP0lNStSdcZy5wLHU+grgE7H8CHBvattRYF5j5DvO2HjAd5zA6VQ5Sa0nhH5SAV63kBK3Fv3AhVV1eflLeqK947QEf6TjlIU+wtR+dWEhd/xBSZ+CkH1S0vsyTPcC706tP0vI2gqjn9dfzkhGRcdpOh7wnVJgZseBZyXtkXRfnYe5BbhN0nD206zpM7cAyzTy3OdOwsQ32xg98v8I8Ks6tTjOhPFsmY7TYCQ9AGwys9+NYbcFWGVmr7VGmVN2fITvOI3nG8BbaxlImgPc78HeaSU+wnccxykJPsJ3HMcpCR7wHcdxSoIHfMdxnJLgAd9xHKckeMB3HMcpCf8HjV2Ese0FutcAAAAASUVORK5CYII=\n", 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99FHb3/Hx8dx6662MGjVoxfeIUUM6KioqKqeJffv28dFHHzF58mQeeughPv/5z+P3+1mxYgU1NTUjfn3V4KuoqKicBlwuFx988AHZ2dncdNNNWCwW8vLyuPfee9Fqtbzyyit4PJ4RnYNq8FVUVFROA5s3b8bj8bB8+XK0Wm3bcaNWQ7r0Ul9fz9q1a0d0DqrBV1FRURlhWltb2b59O1OmTCE1NbXTuVMH9lK5eysJGsn27duprKwcsXmoBl9FRUVlhNmyZQt+v59Fixb12sZzZB9ms5k1a9YwUoWpVIOvoqKiMoL4fD727NnDpEmTSExM7Hbe63ICIIIB5kyfRlFREQUFBSMyF9Xgq6ioqIwghw4dwu12M3fu3B7Pe5zOtse5WZnEx8ezZs0aAoHAsM9FzcNXUVFRGUH2799PfHw8WVlZPZ73OB1tjwMeD8uWLaOmpmZEwjqqh6+ioqLSB0EZ5B97/sELh1/AExhY2mRTUxPFxcVMnz4dIUSPbcIhHQCPy0VeXh4LFy4ckd23qoevoqKi0gcnGk/wxMEnAIgxxnDt2Gsj7nvw4EEApk6d2msbj9OJ0GiQwWAn4z8SqB6+ioqKSh8cbTja9vhw/eGI+0kpOXDgAJmZSly+NzxOB1EJSs1x1eCrqKionEGONhzFrDMzJWEKRxqORNyvqqqK2tpapk2b1mc7r8uJLT4B6LyAOxKoBl9FRUWlD441HmN83HgmJ07maMNRgjIYWb9jxwCYNGlSn+08Ticmmw290aR6+CoqKipnCiklRxuOMiFuApMSJuHwOSi1l0bUt6CggPT0dKxWa5/tvC4nRosVg8WiGnwVFRWVM0WLtwW7105WdBZjY8cCUNxc3G8/l8tFeXk5Y8eO7betx+nEYLZgMFvwuFxDnXKfqAZfRUVFpRdqnbUAJFuTSbelA1DeWt5vv8LCQqSUjBs3rs92Ukq8TgdGiwWj2ax6+CoqKipnihqXolGfbE4m3hSPQWOg0tG/uNnJkycxGo2kp6f32c7v8xIMBJSQjtmCV120VVFRUTkzhD38JEsSGqEhzZZGRWtFn32klBQUFJCTk9NJBrknwgY+HNJRPXwVFRWVM0StK2TwzUqe/CjrqH49/NraWlpaWiKM3yuyCkaLBaPFgkc1+CoqKipnhhpnDdGGaEw6EwBptrR+Y/gnT54E6Dd+D+BzuwHQm8znp4cvhNAKIfYKId473ddWUVFRGQi1zlqSLcltf6fZ0mhwN+D2u3vtU1BQQEJCArGxsf2O32bwjcZQDN81Ylr4cGY8/G8DkW9XU1FRUTlD1Lhq2sI5oIR0gF7DOj6fj1OnTkXk3QP4vIoYm95owmA2I2UQn6f3L5OhcloNvhAiA7gaePJ0XldFRUVlMNQ6a0mytBv8VKtSnrDaWd1j+1OnTuH3+yOK3wNtxl1vMmEwWwDwjmAu/ulWy3wEeAiIOs3XVVFRURkQUkrqXHUkmBPajqVaQgbf0bPBP3nyJFqtluzs7Iiu0RbS2fB7DK6o0LGRM/inzcMXQlwD1Egpd/fT7n4hxC4hxK7a2trTNDsVFRWVzjh8DnxBH/HGdqXLZKsSz+/Nwy8oKCArKwuDwRDRNfzhkM7RNzAcfQMYWQ//dIZ0LgauE0IUAy8DlwshXujaSEr5HynlHCnlnKSkpK6nVVRUVE4LjZ5GAOJMcW3HjFojcca4Hj385uZmamtrIw7nQLuHrxNB9Jpgp2MjwWkz+FLKH0kpM6SU2cDngLVSyi+eruurqKioDIRGd3eDD5BiTenRwx9IOmaYtkVbTQCDxg+A93wI6aioqKicS7QZfGMXg2/p3eBHRUWRnJzc7Vxv+DwetFoNGgGGkId/3hl8KeU6KeU1Z+LaKioqKpHQ4G4AevDwLSndQjrBYJCTJ08yduzYXmvX9oTP7UavV+QX9JoAcP7E8FVUVFTOGcIx/HhT5/KEKdYUGj2NnTZfVVRU4Ha7BxS/B2XRVqdTDL4hZPDPixi+ioqKyrlEk7sJg8aAWWfudDzFkgIosgthCgoKAAZs8BUPXzHDbR6+e+TkFVSDr6KiotIDDe4G4kxx3UI0KVbF4HeM4xcUFJCWlobFYhnQNXweN3qtYoa1QqLValQPX0VFReV00+hp7BbOgXYPv8pRBbRXtxpIdk4Yv9eDXtf+haLXa2my1/crwTxYVIOvoqKi0gON7sZuC7bQbvDDHn64utVAwzkAPrcHnbZdLM1g0HKk6hC3v3f7IGfdN6rBV1FRUemBcEinKxa9hShDVFumTri6VUZGxoCv4fN60GsFGGMAMOg0uJ2ONpG24UY1+CoqKio90ORp6paDHyacix+ubjVmzJh+q1v1hM/jVnbY6s2g0aPXCXwet2rwVVRUVE4X3oAXh8/Ro4cP7btt6+rqaGlpGVT8HkJZOhoJOiPozRi0EPR4GWVTDb6KiorKaaG3TVdhUi2pVDuqB52OGcbv9Sgevs4EOiNCJ9H4pOrhq6ioqJwuwrIKHZUyO5JiTaHeXc+JghMkJCQQF9fzFwMAwQB4WrsdllIqi7aaAOgMoDPj1/jRBzSqwVdRUVE5XYQNfqwptsfz6bZ0NEFNZNWtVv8Ifp8OAX+nwwG/HymD6EWgzcP3aHzo/EI1+CoqKiqni56kkTuSbksn0ZNIwB/oP5xz6PXQoEWdDrdVuxJ+xeDrTTg1PsXDV2P4KioqKqeH/kI66bZ0UpwpCI3ov7pVXOh8TedS3u1a+D7QGkBnolXrQxsUxOhGpiigavBVVFRUutDgbkArtEQbo3s8n2ROItWdiiZe0391q9jRyu/ao50Ot1W7whcK6Zho0vqUcx7v0J5AL6gGX0VFRaULjZ5GYowxaETPJtLR6iDaG40zJhKhs5B0Qi8evmLwFQ+/TqvE+X0jJJGsGnwVFRWVLjS6G3vddAXt6piVpsr+BwvLKHfx8Nti+HhBZ0JqDdTowoqZqsFXUVFROS30pqMT5uTJk2CEokBRr23a8IXuAuydvxz8nnBIxwM6I7U6HU5dqOqV6uGrqKionB4a3A09KmVCe3UrS4qFBk8DTl8/YR2fu/Pv8OGQwdcF3aA1UqIJ4NPJUNORkUhWDb6KiopKF+pd9SSYE3o8F65uNSpLSZ3sV8rY72r/LduVMdsKmEs36IyUEsAf9vBHqAiKavBVVFRUOuAJeLD77CSYejb44fh97rhcACoc/Rj8jp59h7KIbYu2QRfoTJRKL8FQIXPVw1dRUVE5DTS4FB2d3jz8kydPkpaWxthkZcNVeWt53wP6O8Tjfe2P2xZtQ9IKJUE3CShpmWoMX0VFReU0UO+uB+jRw3e5XJSVlTF27FgSTAkYtUbK7f0YfJ+LttTMDgY/vGirC4mnlQQcjJJK/r2apaOioqJyGggrZfbk4YerW40bNw4hBGm2tMhCOpbQAnDHkI7HjUarRSskUmukzN9KRtAHQuBTDb6KiorKyFPvCnn4PRj848ePYzKZ2qpbpdvSKbOX9T2g3wXmkMHvkNHj83rQG40ANBHAHvQy2u/HYDTiVWP4KioqKiNPOKTTNS0zEAhw/PhxcnNz26pbZUVncarlFLJD9k3nTj4I+ts9fF/HRVsPeoMegJKA8kWQ6VMMvurhq6ioqJwG6l31WHQWzDpzp+NlZWW4XC7y8vLajmVFZ+H0O6l11fY8WDhmbw5t4vJ3XrTV60MG398CwGi/D71Rry7aqqioqJwOesvBP3r0KFqttpP+fXZ0NgDF9Ue7tQfaY/ZtIZ0Oi7ZeDzqDDoBCTxM6oVE8fIOhLYNnuFENvoqKikoHGtwN3TJ0pJQcO3aM7OxsjKG4O8CYmDEAFL9+Z8+DhQ28pbvB97nd6PWKwS9w15JlTkYP6PVa1cNXUVFROR3Uu7t7+HV1dTQ0NHQK5wAkW5IxB4MUaXsZrM3DD4V0uuTh63WKCS50VZNjUxaCDQatmpapoqKicjqod9V38/Dz8/MBmDBhQqfjGqEhy+enKBSL70YfMXy/x4Nep8EtBGWuWsZFZQGg12nURVsVFZXzF1/QR3lree/ZLqcJf9BPk6epm4efn59PVlYW0dHdC6Lk+HycNOjB6+g+YF8hHY8HnVbDKb2OIJKc2BwADHrNmUvLFEKMjvCn59IwKioqKv3w5IEnWf7Gcv7no/85o/NodDcikZ1SMmtqaqitrWXy5Mk99hnv9VGl09HSUND9ZNij72HR1uf1oNfBkVDFrNw4JVw0eWIai+768jA8m+7oImizApC07Q3uEQk8Czw3DHNSUVH5jLGxfCMAWyu3UtlaOWJFvPujTVahg4cfDudMnDgRgIOfruHIxnXc/ONfodXpyPUqcggnq/cxM3V65wHDefemaBCa7ou2Wsg3GrDqLGTHKwY/PdkC8y8ZiafXv8GXUl7W9ZgQIlVKWTUiM1JRUflM0ept5XD9YS7PvJy1pWvZVrmNG8ffeEbm0iacForhSynJz88nOzubqKgoyo8eZs3j/1Dm3VBHTEIi472K4NmJ+iPM7Dpg2MPXmUFvaVvElVIqi7YayWGDgUnxE9AYrEpb38jE72HwMfy7hnUWKioqn1n21OwhIAN8fuLniTfFs61y2xmbS1cPv6amhrq6urZwTn15SVtbR1MT+JykBgLYgkGOt/RQ/SpsvPVKkfKwtELA70cGg2g0AY4aDExOmAJaPWj0neQXhptIQjo9cb0Qwgl8JKU8FkkHIYQJ2AAYQ9d9XUr5i0FeX0VF5TzhSL1S3Hta4jRmp8xmf+3+MzaXNh2dkIefn5+PEKItnONxtC/MOpubwBeLAHK9Xo44e6hv6+vi4YdCPF6XYtSbceLVCCYnTVXa6S1npYd/E1AA3CiEeDLCPh7gcinldGAGsFwIceEgr6+ionKeUOmoJN4Uj0VvYVzsOCpaK3D7RyZLpT/q3fUYtUasemuncI7NZgPA4+xi8EOZOVM8Xo75mvAFfZ0HDD8PvVnx8kMhnvDGqmpaAZicOLm93Qh6+IMy+FLKainlainlH6SUES0nS4XW0J/60M+ZzcFSUVE541Q6KkmzpgGQE5ODRHKq5dQZmUudq45EcyJCCCorK6mvr++UneN2ODCYFY0dR3Njmzc+2ePFg+Rk08nOA/o6GnxzW/uwh18mWokOSjJCm646thkJBmXwhRCPCiGeDT1eOoB+WiHEPqAGJRy0vYc29wshdgkhdtXW9iJIpKKict5Q6WjPyglLFRQ19xAPPw3UOGtItiQDcPDgQTQaDZMmTWo773U6sETHYrLaQiEdxXBP8SiZOvl1+Z0H9LtAaJX4vK67wS/GweSAQIhQEqTecvZ5+IAXKAw9vjzSTlLKgJRyBpABzBNCTOmhzX+klHOklHOSkpIGOT0VFZVzASmlkoZpVQx+VnQWAkFhc2E/PUeGamc1yZZkgsEghw4dYty4cVgslrbzHqcDo9WKJTYOZ1NTW0gnEz3RUnCg7kDnAX0uxWuHzh5+aCdtsdbJlGAHXYaz0cMHnECMEEIPjB5oZyllE7AOWD7I66uoqJwHNHmacAfcbQbfpDORbks/IwZfStnm4ZeUlGC325k6dWqnNm6HA6PFgjUmFkdzU5txFtYkZgU07Kra1XlQn1KgHOhs8J2KF+/WBZmKqb39WWrwG4CTwKPA5kg6CCGShBCxocdmYDHQi6aoiorKZ4FwecCOG61yYnPOSEjH7rPj8rtIsaRw8OBB9Hp9N7E0j6MVo8WGJSYWZ3Nje/jFmshcb4ASewlVjg5blPxuJUwDYLCCT7kjCHv4fp1kttbW3v5sCukIIWKFEM8AN4cOPQfMibD7KOBTIcQBYCdKDP+9gVxfRUXl/KKqVTGOYQ8flIXb4uZiAsHAaZ1LjaMGgAR9AocOHWLixIkYQrIHYTwuZyikE6vk4Yf1c6yJzAvp3+ys2tnewedSsnNAMfih9mEPf4xGQ7SuPWQ00h7+gPLwpZRNQog/ANlAHTANeDPCvgeg+0Y0FRWVzy5hDz+cpQPKwq036KWitYLM6MzTNpcap2LwveVePB4Pc+Z092U9oZCOyRqF1+Uk4HagBbAmket0EDsqla0VW7l27LVKB7+7PaRjsIFHSVR0OO0AzEK0x/jhrMzDvw/IkVLullI+I6V8d7gnpaKi8tmg0lGJWWcmxhjTdiwnRlGNLOpp5+oIUu2sBgnlR8pJTk4mMzP0ZbPtcag/STAQwOd2YbTYMEUpWpFue5PSxpqIxudkQfoCNpZvbL878TnbDbrBpoR0gkFK6wrxaYNc7JPtXwhwVubhNwJfFUI8IoS4Vwiheu0qKiqDIpyh05aWSHtqZmHT6V24rXHWEOeNo76mnjlz5ihz8jph9Q9g34t4QqmURqsVU2gjlrvVroiimeMAySWpF9DkaeJg3UFlUJ+7g8EPa+U4KW8owa+TzPF4u3j4Z9mirZTy98BXgIeBImBkZN1UVFTOeyodlZ3i9wAxxhjiTfGnPVOn0lHJRMdE9Ho906ZNUw66m5Xfzvo2WQWjxYrZpnj4rlanEobRK8Z8fuJ0dBoda06tUfr5XUr+PbQZ/KCnhZqmKnRmE4aOWTzhNqG7gJFgwAZfCPEr4HpgCVAupfz7sM9KRUXlM0HHTVcdyYnJobil+LTOpbqhmtSWVGbOnInJFDLCnhblt7Mej0OJvxstHTx8p0Mx+AZl4TUGDZdmXMqqwlX4g/6Qhx8ayxgFwLaKLQQ9XqJscaEsng4evikU2vI0j8hzHIyH/3PgH4AduFkI8cSwz0pFReW8x+130+BuIMWQQrCLRzsmZsxpT82UpyRIuOiiizpMMuzhN7Tp6BitVsyhGL7L4VKMfTj10ufkurHXUe+uZ2PZxlAefmcP//WiVZiCehJjUjrn6QOYYjtfd5gZbB7+/wB7Q1o6XxnOCamoqJz/SCnZsmcLS8qWUPVuFb/97W9ZsWIFJ08qWjTZ0dk0eZpodDeelvm43W4S6hPQj9ITFxfX4UQHD9/ZHtJp8/BdHiWcE47Pe50szFhIqjWV5w4/p4R09O1ZOiU6HZ/U7CJRE4vRZAYZ6Ozhm2OV366mEXmegzX4TwMPCCH+LISYMYzzUVFROc9xOp288sorbFi1gaAIkjcvj3nz5tHQ0MDzzz/PBx98QJZNKeh9urz8DVs3oA/qGTWlS3jJ3RSadHsM32S1oTeZ0Wh1uN2hRdc2D9+BXqPnixO/yK7qXWzSBDpsvLLx79hodEKLDTMGYyjHv0cPv2kknuagDf63UHL4dSjhHRUVFZV+sdvtPP744xw/fpzUmal8kvYJl1xyCcuWLeOb3/wmF154Idu3byf/w3z0Af1pieO7XC52bttJpbmSMZljOp9si+E3tMXwDRYLQghMNhsut18J6YRi+HiVTJ7b8m5jXOxYfhRvpQRFMvn16q28E2XjrpQL8bs9GAx6pc854OGfBEzA21JKNUtHRUWlX4LBIK+//joul4svfelL+Ef70Wg0beqUOp2O5cuXc+utt1JfXc8l1ZdQWDfymTpbt27F5/GRH5dPmi2t88lwLF0GcDfXgxAYzYpxN0dF4/b6lZCOPpxyqdwFmHVm/rbwzwjgzppP+ebab/LrQ09wsdPF1xLm4XG0YjKG9r2GFnOBs9bDzwfWAvcJIXb211hFRUXl0KFDnDp1iuXLl5ORkUGlo5IkcxJ6jb5Tu8mTJ3P77bcT7Y2mcUsjHo9nxObU2tLE1s0bsWZYaDY2d0sRbYvhA157A0azBaFRzKbJFoXbKxUPvYuHD5BtTuKJqhqmm1MpaSlhaeYi/lZTh3S2IoNBjPrQ3gNT+6aztsdnmYefC2iB/wD3Dt90VFRUzke8Xi8fffQRo0aNYuZMZa9mpaOyu0cdIjc3F88kDzq7jv/+9794vd4RmdeaN18kEPDjTiolxhjTaccv0B7SATwtTRg6SCUrBp9Qlk77pqo2/G7yvD7+kXU9b9/wNn++9C+YpcTd0gSAUR+q/2SMbu9jsIJGd9Z5+BOAvcD3gfuHbzoqKirnI1u2bMFut7N8+XI0IQ+5orWCVGtqr30yx2WyK3kXJSUlvPTSS/h8vl7bDoaCggIOFNeykJ2UBkvJtPWg29MhPdLtsGOyWNv+NkdF4fKLUJZO2MNvL4HYXsA8dE6rB60Rj0PR0THpQqmoHT18IZSwzlnm4ccCPwAeAs5M8UkVFZVzgubmZjZt2sTkyZPJylKybwLBANXO6k6iaV0ZEzOGEmsJ85fOp6ioiNdff51AYHgUNL1eL++99x4JFg0L2EGpq65noTZ3C5jjlT7OVozWdiljky0Kt1+rhHR0JkB08/CBbjtpwwbfqPGHBurg4YOycHuW5eH/CmXB9hgwMnuAVVRUzgvWrl2LlJLFixe3Hatz1eEP+rvHzDsQ1tQRaYIrr7ySY8eOsWnTpmGZ0/r162lqauLabC8QoMLXwuioHmo5uZshVvkicLvcGK3tHr7JasUvtfg0JsUzN9g6xfDbjH/HLByDDbdDOW4SoTCVqUsYyRR7ZkM6oVq0lUKILwNIKcuklB+HHv9wRGamoqJyztPY2MiBAweYO3dupw1NlY5KgB5lFcJkR2cDUNhcyAUXXMCUKVNYv349R44cGdKcCgoK2LJlCzNnziRbV0uFTkcQSWZUDx6+pwWilLsQj9vblqEDYDYpefTuQGjR2WjrFPNvK2De0cM32vC4lFCPUbgBAYYOWTqgePhnMqQjpQwAh4CxIzILFRWV85KtW7cihOgsV0AHg9+Hh2/RW8iwZXC88TgA11xzDWlpabz66qvs27dvUPMpLS3l1VdfJTk5meXLl4OjllK9kh45OroXD98SDzozHo+/c0jHHDL4/pAZNUZ3Nvj+cAy/o4dvxe1SvghMuJQ+mi5m+Ex7+CEswENCiF1CiHdCP2+PyKxUVFTOeVwuF3v37mXq1KnExHQOW0Ri8AHy4vM41nAMAJPJxJ133kl2djYrV65k27ZtA5pPSUkJzz//PDabjTvuuAOj0QiOWk7qFQ89KzqreyePHYxRSL0Vry/QOaRjUIqPu3whM2qK6ZTG2ebhd9pYFY8nVO3KELB3j9+3jXPmY/gXAQKYBVzT4UdFRUWlG3v27MHn83HhhRd2O1fRWkGUIQqbwdZDz3by4vI41XIKZygebjQaueOOO5gwYQKrV69m1apVfads7nkeHl/Avn37WLFiBTabjXvuuYfo6JChddRRYNCTIDXEm+I795USvK1gsOLVRSElnUM6RsV8usPJQ6bozoY6nKWj62DwrUnKWoDFisZr7x6/B1j2O/j+iT5fl8EykBKHY/pvoqKiogKBQIAdO3aQlZXFqFHdvfgqR1WfGTphcuNzkUgKmgqYlqRo1Ot0Om677TY+/PBDtm/fzrFjx7j88suZNGkSen37Ji4pJVXv/JKtzObAypVkZ2dz6623Yg176VKCs44TUXGMD4ruF/d7QAaVzBqNEmfvFNIxhAy+t0M+fWNxe/+wxHFHo25LwuP2YbRYwV3dOQc/jN7U/dgwEbHBl1KeGrFZqKionFccPXqU5uZmJU7eAxWOCtKt6f2OkxeXB8CxxmNtBh9Ao9Fw5ZVXMmnSJN5//33eeustPvjgA9LS0oiKiiIQCFBeXk4jX0SHn4UXzGLR0qvRarXtg3taCAa8nNTrudXTQ45/OKdeb8WjUb4kOoV09EqCossbShU1RXcO6bh7MPjWJNwBDcYYs/KFEJ3R72swnAyoiLmKiopKJGzbto3Y2Fjy8vJ6PF/VWsWclO5FwruSbkvHpre1xfG7kpWVxVe/+lWKi4vZv38/dXV11NXVodVqSUpKYkHjq0ykAMucu6CjsQdw1FGm0+HWaBjvsncfPKSLg8GKBwvgVTzzEHp86EQAtzucTx/TedHW3QxaY2eP3ZqMJ6DDZNQr55Mn9fsaDCeqwVdRURlWysvLKS0tZdmyZW27ajti99qx++z9LtgCCCHIjcvt1eCD4u3n5OSQk5PT+YTfA795QHnc0yKou4kTIcXK8S6HEnPvuMAa9vANFjwY6Wrw8bkwaf24w0F8Y7Sy2crvAZ1RuWbXGL01EU9QR6xBo9wN9BTDH0EGU+Lw2pGYiIqKyvnBzp070ev1bZo5XSlvLQfoVUenK3nxeRxvPE5QDnCPZ1Np++OeDL6nlRMGPQLI8fm6576HN1EZbHikEegc0sHrwKT143KGsnHCxjsc1nG3dM/CsSbh8usxG1DuBnqK4Y8gg9lp+9thn4WKisp5gdPp5NChQ0yfPr29LmwXSu2KIe5xo1MP5MXl4fQ7KbeXD2wyjR2Kp/SU1+51cEKvJ0NrxSIluLpU1wqHdPQW3EHlTqCzh+/ErPW15dW3Ge9wWKcHD19ak3AFdJiDLcqCcHT/dznDyWAMfg/L2SoqKiqwb98+/H4/c+b0Hp8vs5cBkRv8CfETADjccHhgk2nqkGfSi8EvMBgYZ1b0+PHYu50HlLTMoBL/75iWic+pePitoXZtHn5z++8uBt8jjQTRYHYprwGJPa9xjBSDMfhy2GehoqJyzhMMBtm1axeZmZmkpvaugllqLyXWGEtUV0mBXsiNy8WgMXCw9uDAJtQxjNNDSMfrbuKUXsf4qNCGq44LrtDJ4Lv9GnQigDbYQZvf68Si8+FsCWfjRHe+Vg8G3xUqk2hpVWr3knT2G3wVFRWVbhQWFtLQ0MDcuXP7bFdqLyXDFnk6ol6rZ2LCRA7UHRjYhDytira81tCjwS9oLSMgBONDdxB9GXyPX2DS+pWNWGF8TqwGcLfaCfj9EYV0nC3KObPWp5yzJg3sOQ0R1eCrqKgMCzt37sRisTBpUt+phmX2sojDOWGmJ00nvy4fX2AAmvheh1JQxBTbo8Hf71DWEqalXaAccHcx+G1qlxa8PqnIGXs6GHyvA4tJMaHOlqYOHn7vBt9lV85ZtD4lViJOb4R8MAa/ethnoaKick7T3NzM8ePHmTVrFjpd79nevqCPSkclGVED23A0LWka3qCXIw0DUMr0OhTJ4l7UJ/c5K0n2BxgVn6sc6BbDDxl3gw23N4hBGwBvhzbuZiwWJXvH2dTUbtw9LYqOTsDT3eCHwj9mne+0L9jCIAy+lHLJSExERUXl3GX37t1IKZk9e3af7aocVQRkYMAe/uwUZdzd1bsj7xTSwelNjGy/t47pfokwRgGih5COUwkJ6Qx4PH5MXT18dzNWm5K372huVGSONTpw1LWP1SXtMhzvN9+xAr7wSuTPZZhQQzoqKipDwu/3s2fPHnJzcztp3vdEOCVzoB5+ojmRMTFj2FG1I/JObSGd7ga/xllDedDNjKBOCasYo7t7+D6n0h/weLwYu8bw3c1YopSFZ2dTkyJzHDUKWio6yCrEdhrS1dKMzmhEP+lKiMuO/LkME6rBV1FRGRJHjx6ltbW138VaGHhKZkfmpc5jT/Ue/EF/ZB28rUpIpweDv792PwAzRCjNsqsOTrh/qDi5x+1VYvidMn+asMbEAuBoblKORadDS3nPOjooMXxL9OndXduRQRl8IcR3Ozw+vXlFKioqZxU7d+4kNjaWsWP7r49UZi9Dr9GTbEke8HXmps7F6XdysC7C9Mw+DP6+mn0YEEzUhVJDuxYvASWkY7AipcTjcmHUBsBZ337e3YzeFoveZMYZNvgx6dBcBo5a5W9LZ8llV0sz5qjTu7u2IwMy+EKIWCHEM8CtQoivCSEWAGqJQxWVzyg1NTWcOnWKOXPm9Kib05VSeynptnQ0YuC+5kVpF6EVWjaWbYysQ6csnSZFDjnEvtp9TAnq0If1+I1RPadlGiz4vR6CgUDI4Dco56RUFoLNsVhjYtsNfnS6EtKpL1D+ju+s7+Nobjp3PHwpZZOU8l7gN8B2YCHwZiR9hRCZQohPhRBHhBD5QohvD3y6KioqZxO7du1Cq9X2qpvTlVJ76aDCOQDRhmhmJM9gY/lADX4MBP1taZYuv4vD9YeZ7kepQws9h3R8TkVHJ7RZymgygquhfWwZAFMMltg4HE0hWYaYDCU7p2QbmOO7efiOxgZs8QmDefrDwmBj+JeipGdeCESateMHvielnBjq93UhxOnVBlVRURk2nE4n+/btY/Lkye1FRfpASjkkgw9wScYlHG042ibA1ifhtMwukge7qnbhD/q5wONTzkPIw+8hLVNvwdWqHDdZTO0hnQ4xelt8Aq0NoePRIY3/og2QMK7TcAG/H0dz0zlp8GOBHwAPAe5IOkgpK6WUe0KP7cARoP8KCCoqKmclO3bswOv1cvHFF0fUvtJRidPvZGxs/7H+3liWvQyAVYWr+m4YDHZOy4Q2I72lYgtGrZHZjta2LJzeY/gW3KHNUmZrVHtIJ6zNY4olKj4Be0MdUkolhg/KWF0MvrO5CaTEFnfuGfxfAW9LKY8BA9QsBSFENjATJSzU9dz9oULpu2prawc5PRUVlZHE4/Gwbds28vLySElJiahPQZMS1x4XO66flr2TbktnVvIs3i18VzGwvRHeJWvs7uFvrtjMnJQ5mMIhH1A8/K4hHXczmGLbPHxzdHS7omYHDz8qIRG/x6OEfuI6VIKN71wVtrVRuQuwxnWpnXsaGZTBl1KWSSk/Dj0e0KKtEMIGvAF8R0rZ0vW8lPI/Uso5Uso5SUmnV2dCRUUlMnbt2oXb7eaSSy6JuE/Y4A/Fwwe4duy1FDUXcbi+D/XMDjo4mGOVx64mCpsKKWou4pL0i5VYu6FDDD/gUYqXQGhRthHMcbhC+jem6LjuIR1zLLb4RADsDXXKtZb8SjnXpZpVOOxzzoV0hBCPCiGeDT1eOoB+ehRj/6KUMqLFXhUVlbMLn8/Hli1byMnJIT098qhsQWMByZZkYoxDy1JZkrUEvUbPe4Xv9d6ogyxC2+YndzMfnvoQgWBJ6kWh8yEPv0MbQLlDCHjAHIc77OHHJiohnXCGDoQ8fMWA2+tDEYmLvw1f3wF5V3WaUmujEg6ynWsePuAFCkOPL4+kgxBCAE8BR6SUfx3kdVVUVM4we/fuxeFwsHDhwgH1K2gqYHzs+CFfP8YYw6LMRbxf+D4uv6vnRh09/FBIR7qaWF20mpnJM0nSGEPnQx6+VfHScdQpv8OhG3McLnsLOqMRXXSi8iXgc3baSRv28FvrO+ToJ+UpO2870NpQj0arPXfSMjvgBGJCHvvoCPtcDNwJXC6E2Bf6uaq/Tioqg0H6g3grHfibPP03PgeRQYl9QxnVj+6j9j8HcB2u77/TMBAIBNi8eTOZmZlkZ2dH3i8YoLC5cMjhnDB3TLyDRk8jKwtW9tygzcO3tunZ7G8uoLC5kOvGXtfJoANgCRv8kJfe4by71Y7ZFq2kWYIS1gkv2hqjscXFI4RGCen0gaOxAWtsPCKC/QojxWCLmDcALuBRYHMkHaSUm1CrZamcBtzHG2l84ziBZi8A5qmJxN2ai8agPcMzGx5kUNLw0lFcB+swjI4i0OKl/rnDxF4/FttFkdWJHSwHDx6kubmZq6++GjEAad+y1jI8Ac+QFmw7Mit5FjOSZvDsoWe5JfcW9Bp95wZtHr4NdAbQW3itKR+LzsKVY66E0p3K+bDBD+vS92DwXfYWTFFRYAnF3p0Nym5aazJodWgAa1wc9rq+DX5LXS22hDMXv4fB77S9OXToOaD3WmYqKqcZd0EjdSvyESYd8Z/LI+ryTFyH6mj471Fk8Pwo1tby0SlcB+uIuWoMSQ9MJ+U7szBNjKfp3UI8Jd3yIIaNYDDIxo0bSUlJYfz4gYVmwgu24+OGHtIBEEJw39T7qHBU8GHxh90bdPTwgWpLLKvcZVw79losekt3Dz9s8MOLsh0Nfqsdsy1KEUYDxdg3FnfKwolOSqG5pqrPOTfXVBOb3HslsNPBgHfaAn8AfomSUjmeCHfaqqiMNEGnj4ZXjqFLMJP8P9OwzEgmZmk2sdfk4D7agGNb5Zme4pDxlrdiX1eKZXYKUZdkIIRA6DTE356H1qan6a0CZGBkvtiOHDlCfX09CxcuHJB3D8qCLUBOTE4/LSPnkoxLGBc7jkf3Pto9lh9OsQyFc561mZBI7pl8j3K8q8E3x4HQ9BzSsdsxRUVDYujLqu44NBR1SsGMS02jsaqi17kG/H7sdbXEJEeWwjpSDCaYdB+QI6XcLaV8Rkr57nBPSkVlMDSvLibo8BP/uTw0lvZbfOv8NIw5MbSsLSHoDZzBGQ6dpvcK0Vj1xF7T2XBqTDpirsnBV+nAuWf4axRJKdm4cSMJCQn9VrTqiZNNJ0m3pSve9TChERp+fMGPKWst47F9j3U+2SFPvtReyit6P9dha5dl7mrwNRolZNPTom3YwzdFK15+1UFFEbODhx83Kg1HYwNed8+LyPb6OqQMEn0OGvxG4KtCiEeEEPcKISIT0VBRGUG85a04dlZhm5+GIc3W6ZwQguilWQRbfee0l+8+2YS3qJnoyzLRmLsvv5mnJqLPsNHySQnSP+D9kH1y7NgxqqqqWLBgQUQiad36Nx4btnBOR+amzuXW3Ft57vBzHKjtUPPW3QxCQ1Bv4bfbfotOCL7h6jBvVyNojaA3tx+zJHb28LVGglqDsmgb0r0nMRcKPgZkJw8/NlVZO2mq6vnzFQ73xCSdQyEdACnl74GvAA8DRUDkOy9UVEaI5tVFaMw6ohf3nDRmzI7BOD4W+/pSgp5z08tv+bgETZQB67yeS+MJIYhenEWgyYPrUN8LiAPB5/Px4YcfkpCQwNSpUwfc3+FzUNRcxKSEEZDO+vAnPOjWkGxJ5ptrv0l+Xb5y3N2MNMXwj33/ZHPFZr5vGkuyo0MmU2hTVaeastbEzh6+OQ53aytIiSWke09SXrsEQxcPH6Cpl7BOc41y13XOhXSEEL8CrkcRTSuXUv592GelojIA3AVNeE40EXXZaDSm3hPPopdkEXT4cew497z8Nu9+UQZC3/u/rSk3Dl2Cidatw/ccN2zYQGNjI1dddVWf9Wp742jDUSSSyQmTh21OgLIBaus/iVr/Z55c+iQGrYE7P7iTv+7+K2/ZT/CNhCieOvQUt+Tewq0JM6C1RtHYgXaD3xFrEjg7G/xwYRNLTKhtYm57+/j2FNPYVOVLuLGyZ4PfUluN0GiISkgc6rMeEoPx8H8OeEJ9bxZCPDHss1JRiRApJc2ri9DGGLFd2HdRaOPoaAzZ0bRurhixhc2RonVzBRqrvlfvPozQCKwXjsJ7qgVvRWunc63eVkpbSgkEI7/DqaysZNOmTUyfPj2iAic9Efa6h93Dby5te5gVncVr17zG0uylPHvoWX7uKeSATvCdWd/hZxf+DBE1SpEzbsvCaerB4HcI6ThDBj8ke2yNjVWOT7kZLvl/cNc7YG1PsTSYzNjiE2goL6UnGivKiUlOQaM9s6nBg90B8DQwEUgAHuunrYrKiOE+3oivrJXoxaP79HzDRC3MGPaQx0jjb3LjPlKPdW5qRM/ROjsFodd0Wq/wBDxct/I6rnrrKh7d92hk1/X7efvtt7FYLCxbtmzQ88+vzyfZkkyieZi92/I97Y/9HmJNsfxh4R9Yd/s63vUnsU6M5r6p9ynFVmyhClutodTJnjz86DQl9u9qgsYiiB2NM2Tw2zx8Szxc/lPIubTbdBJHZ1NbUtzjVOtKT5GQkTWEJzs8DNbgfwtl05YOUEM6KmeM1o3laKMNWGZGVjLPNDEeXYIJ+8ayvtUWzyIc2xUjZb0gsgU/jUWPeXoSzr01besVa4rXUOuqZVzsOJ4//DzVjv4zedauXUtVVRXXXHMNFsvgsmuklOyq3sWs5FmD6t8nFXvbH9vbv9ziTfFkux1oTR0MelTotbOHnndPBj9pgvK7fLeShZM4vi2kY43tuzg7QNLobOrLSgn4O9fc9ft8NFZVkJgZqSjByDFYg38SMKFIJKuLtipnBG+lA09BE9b5aQhdZB9loRHYFqTjK2vFW2rvv8MZRvqDOHZUYZoQjy7OFHE/6+wUpC/YJrnw+vHXyY7O5h+X/QNPwMObBX1vnykoKGDLli3MmTOHiRMnDnr+JfYSapw1zE3tv8D5gKk73v64pcuahbu5cwFxW2ixtJOHH9u5T3LoeR4JZZon5uJoakSnN2Awm+mPpNHZBAN+GivKOh1vrCxHBoMkZJ67Hn4+sBa4Twixcxjno6ISMa2byhF6DbZ5A0t1s8xMVkIeO/reGXk24DpUR9DhG7BkgiErGm2sEefeGpw+J/tr97MkawmZ0ZlMTZrKutJ1vfZtbGzkzTffJDk5eUihHIAdVTsARsbgu5rad8i2lHc/19Hghz381mplU5bf1S6YFiZmNOgtcOQd5e/EXJzNTVhi4yLaaJaUpWTtdA3r1JeeUobLOHc9/LEo4Zz/APcO33RUVCIjYPfi3FeDZU5Kp01WkaAx6TBPT8J1oJagx99/hzNAONzUurUSXYIJ47jYAfUXGoFlRjKeE40cOLWXgAwwO2U2AJdlXsbh+sNUObp/4blcLl588UWCwSC33XYbev3AXtuu7KzcSZI5iezo7CGN0yPu5vYwTIeQDn6PYtDDkseg5NsbY5SQTkNI6LdjsRJQNl8l5bUv7MaPwdHU2L5g2w9xaRno9AaqCo53Ol5bUozQaIhLy4j8uY0QgxVPK5VSrhVCjAJqhnNCKiqR0Lq1AoIS28WDq5JpnZeKc1c1zv212PrJfDkdeDwejh49Sn5+PjU1NbS0tKDVaDH6tMTExTJxi4fJkycTF9d/LDmMZWYS9nWlNOwuRSM0TE+aDigG/+97/s760vXcPuH2tvaBQIBXX32VhoYG7rzzThITh7bIKqVkR9UOLhh1wYClGCLC3QyjpoPeCi0d0iHDsgpdQza2ZCWkEzb4CT1kHaVMUdYGEsaBzoizuYmYCPVvtDodaXkTKM0/0Ol4+dF8UnLGoRvil+dwMFiDv1wIcRxFLfMUyiKuisqI4vQ5eXjrwyTrk/jC9gWYJsSjT+w/ttoThswodCkWHDuqzrjBLy4u5q233qK5uZmYmBhGjx5NdHQ0zmP12GuacRglH3/8MZ988gnTp0/n0ksvjcjw61Os6EdZiS8wkDctD1tI+z0nJofRUaP5tOzTNoMfCAR4++23KSoq4oYbbmDMmDF9DR0RRc1F1LvrRyacA4rBN8dC9KguBr9dVqETsaOhvhAaTip/x/eg63PFL2D0RZCipJA6mhpJGz8h4illTp7O5leex9nSjCU6Bp/HTVXBcWZeed0AntjIMViDH0t7EfMvD9tsVFT64Gebf8aaU2tY3ngxQceFRC0cnHcPyq5U69xUmt8rxFvR2k2O4XTg9/v59NNP2bx5M/Hx8dx1111kZ2ej0WgIuvxUbtiOefos4m/JpbGxkR07drBjxw4OHDjAlClTuPjii/utJ2uekUTGBw4uNs1rOyaEYFHmIl46+hIOnwO91PP6669z/PhxLr/8cmbMmDEszy8cv5+XOq+floMg4AevXTHqUREa/PRZsPGvkDgObKnt1a46YkuCmXcA4Pd6cbU0D0jSePSUaWx+BUrzD5B30UIqTxwj4PeTOWngO5RHgsEa/F8BE6SUx4QQ5+Y+dZVzilpnLZ+UfMI9k+5h0QfjKLFUkz5mwZDGtM5Kpnl1EY6dVRiuHx6d9kgJBoO88cYbHDlyhFmzZrFs2TKMRmPbeceeaqQv2LZYGxcXx7Jly7jooovYsmULu3fv5sCBA+Tm5rJgwQJGj+55QbBlXIAgQebWd970dFnmZTx3+DlW719N5bZK6urquPrqq5k7d/i88U3lm0i3pZMZlTlsY7YRljcwxUB0OpzqUJYjHIPvGMMHSJ+jbL7KfwuyLu73EuGCJlEJkdfWTh2biy0unkPrPibvooUc37YZrV5P+oQRkJUYBBEt2gohtEKISiHEl2FoRcxVVAbD2yffJiAD3KK7mhRnPK/EfsDJppNDGlNj0WOenIhzby3Sd/r8Fikl77//PkeOHGHZsmVcd911nYy9lBLHtkoMmVEY0jvfeURHR7N8+XIefPBBFi1aRGlpKU8//TSPPfYY69evp7y8nGCwXTjtqL+Ag5YC0k/FdNp3MN46npnNMznw/gE8Hg9f/OIXh9XYu/wutlVu49KMS0cmft/J4I9SFm3Dz9se8vaju2Q2pc9uf9xTOKcL4YIm0YmRG3yNVsvUK5ZTvG83pfkHyN/wCRMXLMJo6eFu4gwQkYcvpQwIIQ6hZOeoqJx2Pi39lKmJU7Hs8eGx6dgYvYcJJR8xLm5onrl1Xiqu/bU4D9VjjXDz1lBZt24du3fvZsGCBVx00UXdzntONuGvdRF3W24PvRUsFguLFi1i/vz57N+/nwMHDvDpp5/y6aefYjQaycrKIjU1lT21e2jW19Jk92N5qRKNVU9DQwMlJSXkyBwqYyr5wVd/gMU8fLLFANsqtuEJeFiUuWhYx22jY9gmOh2CfkUWISollJMv2lMxw9iSFP2bhpNw0Tf6vUS4KPlA9W+mL7mSfR++x6u/+jFCo2HWVdcPqP9IMpCQjgV4SAixBAgHzKSU8ux5NirnJc2eZg7VHeK7md/Ec6KJ6GXZ5Dry2F65nQemPzCksY05MegSTDh2VJ4Wg79z507Wr1/PjBkzuOKKK3ps07q1Eo1Vh2Vq/56lwWBg7ty5zJ07F7vdTnFxMUVFRRQXF3P8uJIeqBMWKrQNiKJmhElLVFQUCxYsoCGmgTfy36CgtYBp5mnD+jzXl63HprcxJ2WECuJ1NPjhO5eW8pDBL1cycrR65a5GyvY6svetAZ0RjFH9XsJer3j4tgEafGtsHLf/8o/seOtVpi+9iqTR2QPqP5IMxOCHXZFZoR+Ac2Nvuso5zc6qnQRlkPllkxH6ILYLUpl7eC4vHnkRt9+NSRf5DtSuCCGwzE2lZXUxvlon+qTh9XQ7UlJSwqpVq8jNzeXaa6/tMdThb/bgPlyvVLOKQDenI1FRUUydOrVNwjgYDLLs1WXMSZ3DvSW34y21M+rBeQiNct1mTzO/Ofwb1petZ1rS8Bn8oAyyvmw9F6dfjF47QqmIYYNvjG7XtA/n4rdUtIVzdr7zBns/fI8v/+MJtDp9981WfWCvq8UcFY3eYOy/cRcS0jO58hvfG3C/kWYgn6gxPfwMX70yFZVe2FKxhTRSMB8LYJmtbLSamzoXX9DXuejFILHOTgENOHYOf6WoMF6vl5UrVxITE8PNN9+MthfVRMd2xWhZLxh6qmijp5EqTxUTkiZgmZFE0O7FU9jUdj7GGMOMpBlsKNsw5Gt1JL8unzpXHZdmdBcYGza6hnSgPVPHXgnR6fh9Pna/v5LW+jrKjx4Z8CXs9bVEDSB+fy7Qr8EXQowWQoxG8ea7/YTPCyGiR3aqKp9VtlRs4V7PLeCX2C5WPLeZyTPRCA27qncNeXxtlAHThASce6qHvVJUmLVr19LQ0MD111/faYG2I226OXnx6OIHf9cS5ljDMQAmxE/APDEeYdTi3Ffbqc2lmZdytOEoZfaynoYYFO+cfAeDxsAlGSMos9XR4FuTQGjb5RVayiE6jZO7tuMMiZ8V7Rv458ReXzegDJ1zgUg8/BXAs6Hfvf08C9wwEhNU+WxT2lJKTUs18yomKButQiGXKEMUE+InsLNqeKScrPNSCbb6cB1pGJbxOnLq1Cm2bdvG3Llz+9zQ5MqvI9jqw3rR8GwEO9KgeLUT4icg9FrMkxNwHaxD+tq/1JZnLwdgVdGqYbmmy+/ivcL3WJq9lBhjTP8dBou7GRBKSEejVapP1R4Hr0M5FzWK2lOFCI2GzMnTKNo7MIMvg0GaqquI7Wefw7lGvwZfSnmZlPLy0O/efi6XUj53Oias8tliS8UWLm+eh8Gtxbag80aruSlzOVB7AE/AM+TrmHLj0MYYcOwcXkE1n8/H22+/TWxsLIsXL+6zbeuWSrTxJkzjI5dP6IsjDUdIs6a1GV7LzGSkJ4D7WPuXWpotjdkps3n35LvDIhe9umg1rb5Wbsm9Zchj9Ym7OWTsQyZs1Ayo3A/NIS8/Oo2W2hqiEhLJnDyV+vJSvC5nxMO3Njbg93qITR385r6zkcGKp6mojBjVRSfbNMW3lm3hjsar0adZMY7t7DHOTZ2LN+gdlji+0Agsc1LxnGjE3+ge8nhhNmzYQENDQ7dc+654ipvxnmrBdnFa26LqUDlUd4jJie1lBY05sWhsepx7O8tfXZNzDcUtxRyuPzzka75+4nVyYnJGRv++I65GMHf4PIyaDi1lcHy18nfKFFrqaohOTCY5OwekpLbkVMTDh2vTxqUOTKX0bEc1+J9RXEcbqPnXfsp+uomqv+yidXslMnjmk65qTxXxwg+/zf6PVuEL+rAcDZLkiSN6aXa3rJaZKaE4ftXQ4/gA1jnK7ftwefnV1dVs3ryZGTNmkJPTd36DfX0ZGosO69yBST33RqO7kfLWcqYkTmk7JrQCy/QkXMcaCLraVUKXZi9Fr9HzbuG7Q7pmfl0+B2oPcEvuLSOz2aojjjqwdMi4GaUIw7Hl/5TjyZNoqa0lOimZpCzlta8tLox4+MaQwQ/Xqj1fUA3+ZwwZlDS+XUD9s/kEWr3YLkxDY9HR9FYB9c8dJug9s0oZ+RvWAlCwcxv7K/dxc/UVuJKDmPK6hzmiDdFKHL96eOL4ujgTprx4HDuqhrx4GwwGeeeddzCZTCxdurTPtr4qB+4jDdjmp6ExDE/N0/x6pY7slIQpnY5bZiSDX+I62F7iMdoQzaLMRawqXDWk8Ni/9v+LaEM0N467cdBjRIyzrnOK5ajpIDTgqIGs+QSCQVob6olOSiYqIRGTLYqa4sh3ZjdWVqDV6YgaomLo2YZq8D9jtKwpxrG1EtuCdFIfnE3sNTkkPTCd2OvG4j7WQO2/DxBo9Z6RuclgkKOb14MQlB05RNWnx0jxJZCwbFyvHuOclDnsr9k/LHF8ANv8NIKtPpwHh1bzdteuXZSXl7N8+fJ+ywPaN5Qh9BqsAyxy0heH6g4hEN0Kh+szbOhSLLTu6Fwh6va822n0NPJ+4fuDul5+XT7ry9Zz9+S721Q5RxRHfWcP3xwLy/+oPJ54Ha0NdUgZJDoxGSEEydljqCkuinj4pqpKYlJGodGc2aLjw41q8D9DOA/WYV9XhnVeKjFXj2krCyiEwDY/jYS7JuGvcVL/3OERS0/si5a6GhyNDUxaeBkGTEzIT+VEXBlxk3o3hMMZxwcwjotFl2SmdUtF/417obm5mY8//pixY8e2bYLqDX+TG+e+WqzzUtFah2+TUn5dPtkx2d2MrxAC67xUpcRjeWvb8Xmp88iNy2VF/goCwYHf5T22/zFijDF8YcIXhjz3fpEy5OF3UbG84H74URlMu5WWWmWdIjpR2T2dlD2WutJigoHInltDeSnxaefXgi2oBv8zg6/OReNrxzGMjiL2urE9eszmiQnE3ZqLt8RO41sFp73Id315KQAT5l/C9PhF6KSW8vnuPuPBs1JmIRDDko8PoZq3F6XhK7XjKWkZcP+wMFowGOTqq6/uN5ZtX6/kv9uGIPXcE/n1+d3COWGsM5NBp8HRwcsXQvCVaV+hsLmQ1cWrB3StTeWb2FC2gXsm33N6vHuvA/zuzh5+mJBkQkudst8gOknJo0/OziHg89FQ0f9+A5/XQ2NlBYmjh14T4GxDNfifAaSUNK0sAA3E3zGxz4LflmlJRF0xGufu6tNe87W+TDH4CaZ0xkRNZXtgCzMn9q2lHo7jD9fCLYBldjIai46WjyLP6gizb98+jh8/zuLFi4mPj++zrb/BjWNHFdY5Kehih77RKky1o5paV22nDJ2OaCx6LNMSce6rJehp93iXZi0lLy6PR/Y8gsPniOhazZ5mfr3112RHZ3PXpLuGZf5t+Fzw6AVw+O3Ox52hcJuld536sIcf3jiVHK43G8HCbUNZKVIGScrKHvicz3JUg/8ZwHWwDk9BEzHLstHF9K8LEn3FaIzjY2l+rxBfdWT/+MNBQ3kp1pg4XGsqaZV2Djt2dItB98Tc1Lnsrx2+OL7GqCPqstF4TjThPtEYcb/m5mZWr17N6NGjmTev/6IfLR+fAiGIvmJ4i1sfqj8E0ClDpyvWC0chPQGcu9vlJDRCw08v/CnVjmr+vPPP/V4nEAzwg40/oMZVw28X/BaD1jD0yYeQUhLc+w6y5jh8/MvOJx0hvfs+dHFa6mqwxsahMyhzikvLQKvXU3Oq/zh+uAj52SR6NlyoBv88J+gN0PRuIfp0W8T6LEIjiL8tD2HQ0vDS0U47M0eS+rISJqVcjK/SwYfBVUS5NBGl981JmYMn4OFg7cFhm4vtolFoY400ry6OKF1VSsk777xDMBjkhhtuQKPp+1/LV+XAubcG2/xRaCP4Eh4I+2v3o9foyYvL67WNcXQ0htFR2DeVd3p+M5Jn8KUpX+KNE2/wxvE3+rzO3/f+nc3lm/nxBT8eNvE1f52L+ucPU/HLrVS8mUaF5780OW4j4PC1N2rz8Psw+LU1bfF7UOrNJmZmUV1Y0O8c6kqK0BmMxKQMT4rs2YRq8M9zHNsrCdq9xF6bM6ANPdooA3G35eKrctK0KvL85cEipcRRWU9WYAIt6T62mvcinD7cjtZ++w53HB9A6DREL8vGV96K62Btv+3379/PyZMnIwrlyKCkcWUBwqQj6tLhrwa1u2o3UxOn9qsiGnVJBoEGN678+k7HvzHzG8xPm8/DWx/m1WOvdusXCAb42+6/8cyhZ7gt9zZuzb11yHOWUmJfX0bV33bjPtGEZVoSMYYVmDS7aG2+kOpHdrevqYQrWnVdtO1AS10NUUmd5a5HjZ9AVcHxtk19vVFddJLE0VnnXYYOnEaDL4R4WghREyqkonIakP4g9g3lGHNiMGYPXNfEnBePbUE6jq2V3YzCcNPaUM8E0zw0UsPTaW9jTIoFoKmy/2yZGGPMsMfxASzTk9CPstL84ak+s5acTidr1qwhMzMzoqpRzt3VeItbiL1yzLBm5oBS6D2/Pp/ZKbP7bWualIA2wUTrhrJOC/Q6jY5/XP4PLsm4hF9v+zV/2fkXWr2tVLRW8O7Jd/n8+5/n6UNPc0vuLfzkwp8Mec4yKGl65yTNHxRhnhBP6vfnEHdlIlGa10hIf49kw3cQ2iB1Tx7CV+VQNl1Brx6+DAax19V2q1SVMXEyPo+b2j7COsFAgKqTJwZUuPxc4nR6+M8Cy0/j9T7zOHZXE7R7ibo8ci/SG/Dy4pEX+eTUJwRlkJjl2ejTbTS+cRx/8/DEyHuifm8hY6Km4sgN8GHrWuZPUXRnGivLI+o/J3UO+2r34Q0M3x4CoRHELM8m0OBuky3uiY8++gi3280111zTbygn0Oql+YMiDNnRWOYMvzDXvtp9BGQgosIjQiOIWpCOt9SO91TnjCSj1sgjix7h9rzbWXF4BfNfms+yN5bx400/xu6188eFf+QXF/0CjRiaCZG+IA0vHlH2hlySQfwdE9FGG9qN+phLMGiKSF7agjBoaHj5KLK5FnTmXouYOJqbCPj9xCR1fn3T8iYCUH60dwmJ2lNF+D0eRuWqBn9ISCk3AMMvRajSIzKg3CLrM6Mwjo2NuN/fdv+NP+z4A99Z9x2ePvQ0Qqch/nN5SH+QhpePjYj8QtDtR25x4PS38HHOXjRCw3WzbkMIDQ0RePgAF466EE/AM+xevjE3DmNODC1rSzrHkUMUFhayd+9eLrroIlIiUFZsXlVE0BMg7sZxw6aZ05FdVbvQCi0zkmdE1F6pL6DDvqH7F6teq+enF/6U/171X+6Zcg8/veCnvHT1S7x/0/tclXPVkOcqpaTxzRO48uuJuSaH2KvGtL8mrSG9n+yFAGgd+cTdqoQYmw8nK+qYvazvtOXgdwnpRMUnEpOcQunh3vdsVJw4CqB6+CrnFq4DtQQa3EQvyoxY1+RYwzFeOPICn8v7HMuzl/PPvf+kqLkIfZKF2OvH4S1qxv5p6bDOU/qD1D93GJ1Ty37XRt6qeZ8F6QsYFZNOdFJSxB7+BaMuwKwz80nJJ8M6PyEEMdfkEHQFaHqn89Z8t9vNypUrSUhIYNGiRf2O5dxXg3NPDVGXZKBPGZmi1rurdzMpYRIWfWSVuzQGLdYLR+E+Uo+vztVjm6lJU/nu7O9y+4TbmZI4ZchefZjWLRU499YQvXg0UV2UUHGEDH58DsRkQs0RzHnxWC8aRWvdDDyG+b2O21yjpBPHJHf/As6eMYdTB/fh9/Z8J1h2JB9bXPx5V/gkzFln8IUQ9wshdgkhdtXW9r9YptIdGZS0rCtFl2LBNLHvBcSOvHb8NYxaI9+Y+Q1+OO+HaIWW5w8/D4BlVjLmGUm0fHIKT1HzsM2z4bXjeAqbOcou6mObqXHWcMt4RVo3blR6xAbfqDWyIH0Ba0vXDmqnaF8Y0mxEXzFaKXbeYQF39erV2O12brzxRvT6vmPx3jI7Da8fxzAmZtjTMMO4/W4O1h0ccB1Z20VpoBG0bhy+Iij94T7RSPP7hZgmxhN1eQ+vR2vodbYlQ/JEqFG0/WOWjkYrammqvKLXu82maiX8Ft2DwR87ex5+j4eS/P3dzgUDAU4d2EPW9FkjL/52hjjrDL6U8j9SyjlSyjlJSefnt+xI4z5Sj7/aSfRlmRGHDVx+F++efJdl2cuIMcaQYE7g2rHX8s7Jd6h31SOEIO6GcWjjTNQ9m9+pVN5gaV5VhGt/LdHLsjhcvolCXRVZ0VlcmqmUxlMMfkXEO36XZi2lzlXH9srtQ55bV6IWZaDPsNG0soCA3cuuXbvYt28fCxcuJCMjo8++AYeP+heOoLUaSLhjQp8b34bCgdoD+IK+iBZsO6KNMmCdnYJjV3WvXv5w4qtyUP/CEXRJFuJvz+v5M+qoBYSyuSp5ItQdh4APjaeKGN3T+BxRuA707BA2V1dhi0/osRZt5uRp6E1mCnZs7Xau8sQxPA4HY2aMUOH1s4CzzuCrDA0pJS2flqKNN2GeGvkX5ubyzTj9Tq4de23bsbsm34Un4OGVY68AoDHpSLp/GtoYA3UrDuMtsw96nvaNZbRuKsc2P43ABB1+r5cCfRV3TryzLWQQNyoNn9vVVqauPy4bfRnRhmjeLHhz0PPqDaHVEH9rLkFPgEPPb2bVqlWMGzeu31CO9AVo+O8RAnYvCV+ciNY2fJuTurK5YjM6jY45qQM3WNFLshA6DU1vj6ykRqDFQ90z+QiDlsR7p6Ax6Xpu6KhRjL1GC8mTIOCFhkKoP4lZswldPLR8UtKjl99UXUlsSs97TnR6PePnXcSxrZvweTsnIRTs2obQaMiaNmOoT/Os5XSmZb4EbAXyhBBlQoj7Tte1P0t4CprwlbUSdWkGQhv5bemaU2uIM8Z1CgfkxOSwKGMRLx99GZdf8fx0MUaS7puKxqyj9omDeAoHHt5p3VZB8/tFmKcmEnNNTpuGjj/eyHXjrmtrFzdKies2VkQe1rkm5xrWlqylyd004Hn1hz7FiliczAfVW4jWWrn5xpv6zMqRvgB1zx3GU9hM3M3jMWT2nFUyXGwq38Ss5FlY9QNfH9BGGYhemqXsLh6hFNygx0/dM/kEXX4S75mMLraPDWettUo4ByAlJBFRvhvqjiOEJPrSZPy1Lpz7u3v5TdVVfW6amnTJ5XhdTgp2bms75vN6OPTpR4ybcyEm62nQAzpDnM4snc9LKUdJKfVSygwp5VOn69qfJeyflqKJVm7RI8UT8LChbAOXj74cnaazx3X35Ltp9DTyTsE7bce0MUaSHpiONsZA7dOHlN2aEezGDTh81L90lKaVJzHlxSm7eTWCQ0eVf7zlc27GrDO3tQ8b/IYI4/gAN42/CV/Qx3uF70XcJ1K8Xi/vHl2L1AsWt07G8Wphr1LSnpIWah4/gKegibibc7HOGtnaqDXOGo43Hufi9IsHPYbtwjT0qVaa3i0c9roIMiBp+O9RfNUO4u+YgCG9H6PqqG2XTkieDNHpcOQ9OLYK4sdinjMefaoV+yclyEC7l+/zuHE0NvTq4QNkTp5KbOoodq58DRlUPreH13+Cu9XOjGXXDPm5ns2oIZ3zCM+pFjyFzUQtzBhQnHhL+RYcPgdLs7oX6pidMpupiVNZcbizbK4uxkjS/0zHmBND83uFVP5hO80fFuOvc3W6zZYBiae4maZVRVT/dReuQ3VELx5Nwt2TEXoNUkp2HVqP0xLknpmdb/qiEhPR6vURL9wC5MXnMTlhMm+ceGNYQxNSSlauXElVVRW33H4r2TdMx13QRNUfd9L07klcRxvw1TrxFDVT/+IRah/b3xbGsY5Avn1XNpdvBuDitMEbfKEVxN4wlkCzR9H5GSaklDS9U4D7WCOx14/DnBdBIkFrNVhDHr5GAxOugWPvQ+E6mHwjQqshevFo/HUunPvaSzY2VSsZOrF9ePgajZb5t3yB2pJi9n74Pvb6Oja9/DzpEyaTOblvOetznV4CaCrnIva1JUqZvHkD0wD56NRHRBuimTuq+y5RIQT3TL6H763/HmtL17Ika0nbOa1VT+K9k/GcbKJ1SyX2daVK2qZOoI0yIAOSoMMHAQkaMOXFE7MsG31qe8hhbclaqG0lPjOnWyqhRqMlNmUUjRHm4oe5Pe92fr7l5+yo2sEFoy4YUN/e2LhxI4cPH2bJkiWMHz8eAOOYGOzrSmndWkHr5vY5CpOOqMsyiVqUgcZ4ev7FNldsJtmcTG5c7pDGMWbHYJ2XSuvGcswTEzCOGfgO7a60bijHsb2KqEszsEWi5xQMgr0SojvUQZh2G+z4NyBgys0AmCYnoB9lxb62BMuMZIRWUF+qfFElZPSdCZV38SUc3bKBT5/9NxtffAY0gsVf/tp5m50TRjX45wneUjvuY41EL8tGY4xcA8QX8LGudB1XZF2BXtNzauEVo68gMyqTpw4+xeLRizv9UwghMI2LwzQuDn+DG/fxRvwNLoJ2H2gFWpsefZoN0/g4NObOHze7185ftvyRK1oNzJi6sMdrx41Kj0jDvCNX5VzFI3se4bnDzw2LwT98+DBr165l2rRpzJ/fnv+tT7YQf1sesdfk4Ktx4m9wIzQC08SEAb0HQ8Uf9LOlYku392awxFw9BvfJJupfPELy12agix+8dLNzX40imTAtkehl2RF2qlcWaWM6ZD9lzIEfFIOrSdl0hfLZi16cRf3zh3HurcE6J4W60hKERkNcWt+ZUxqNlmsf/BF7PniH5poqZl15PQkZw69rdLahGvzzhJZPFO/eNn9gRZe3VW7D7rN38ty7otVo+crUr/DzLT/nk5JPWJy1uMd2ungTtgsjv/4fd/yRQFUTguRedzbGpaVTuGcnwUAAjTYyI2rUGvlc3ud4bP9jFDUXMSZm8IUsioqKeOONN8jIyODaa6/t0aBqLHqM2YPTKxoOtlVuw+61c2nGpcMynsaoI/HuydQ8tp+6Zw+R/MCMbl/WkeDYXU3j68cxjIkm/tZe0i97oiUUwovuUunMHKf8dMA0KR59mhX7ulIss5KpKz1F3Kh0dP3siwDQGQzMu/6WyOZ0nqDG8M8DvGV23EcbsC1MH3AIYc2pNdj0Ni4cdWGf7a4dey05MTn8ZddfcPqcQ5kuoISR3j75NlealJhz6tjxPbZLzBhNMOAfsJd/W95tGDQGnjv83KDnWFlZyUsvvUR8fDxf+MIX+t1cdaZYWbCSWGMsl2RcMmxj6pMtJNw5EX+9m/oXBlbyMujx07SqiMbXjmMcG0vivVMQ+gGYmpZQeKyrwe8BIQRRlymxfNehOupKi0nMzIr8Wp8xVIN/HtDycQnCrFN2TA4Al9/Fx6c+5vLRl/dbvEKn0fHzi35ORWsFf9/z96FMlyP1R/jJpp8wJWEKYxzxxKSkYo6K7rFtSo7yRRCJjnlHEswJ3Dj+RlaeWMn27asH/IVRX1/PCy+8gNls5otf/GK/hcjPFM2eZtaWrOWqMVeh1w7vF5JpbCxxN43Hc7KZuhX5napj9YQMSpz7aqj63920bijDMieFxLsnozEMMLzV5uFHVvbRPDkBXZKZlk9O0VxdpRr8PlAN/jlO2LuPWpDe+yaWXvj41Me0+lq5YdwNEbWfnTKbz0/4PP89+l92Vu0cxGyhylHFNz75BjHGGP6+6BHKjxwmY0LvlZni0tLQm8xUnTw+4Gs9MP0BEp0WNv31nzzz4Fc5dWBfRP2ampp4/vnnkVJy5513EhNzZkI1kfBB0Qf4gr6I38OBYp2dQtwt4/GcbKL2Pwd6rIAm/UFc+XXU/HMvDS8fQxttIOlr04m/JXdgnn2YlgrQ6MAa2cZBoRFEXZqJv9rFKHMOSdk5A7/mZwQ1hn+O0/JJyLu/eGDePcBbBW+RGZU5IO2Vb8/6NpvKN/HgugdZsXwFY2PHRty31F7K/Wvux+l38uzyZ6HOgbvVzugpvVdL0mi0pIwZS/XJgXn4oHj511RMwk8lCEH++o/73UXZ0NDAihUrcLvd3HXXXSQm9l5V6WxgZcFK8uLymJgwccSuYZ2Tisaqp+HV41T/bQ+6FEtbHr2/wY2vvBXpC6KNNxF3W66SMTMUJdCWCogapeyyjRDLzCTq3j3CxNgLew0Pqqge/jmNt8yO+8jgvPvSllJ2Vu3kxnE3Diizw6K38PiSx9Fr9Nz/0f2U2iNTz9xbs5c73r+DFm8L/1nyH/Li8yjNV2RqMyf3XR4vZex4ak4V9qpw2Bv2hjoCx6s4OcFPbSaUHD7QZ25+dXU1zzzzDF6vl7vvvpv09N5DCofWfcy+Navw+7pLJp8u9tfuJ78+n5vG3zTi1zJPTCD1e7OJuWoM2igDnpNNeE42IwMS67xUEu6eROr3ZmOdlTJ02eeW8oji9x0RWg2VphKSTJnoG8+/SlXDhWrwz1GklDS9W4jGph+Ud/9mwZuK7vzY6/pv3IXMqEz+veTfuP1u7vrgLt49+S6+YM+Gr9Xbyl93/ZUvffgloo3RvHjVi0xNUja3lBzaT9yoNKIS+vaiMyZOIeDzUVUwsLDO4Q2fIqXkxhu/RkFUHY6GhjYlxa6cOnWKp59+GoB7772XtLTeX9OWulo+/NcjfPLUY2x57cUBzWk4ef7w80Tpo0YsnNMVrc1A1CUZJH15KqN+dAGjfjSPlK/PIPbasZgnJiC0w2BOpFSUMRMH7qUfrd6KT3hoXlM8onpA5zKqwT9Hce2rxXuqhZhl2QP27p0+J68ee5VLMy4lxTq4XaC5cbmsWL6CWGMsP970Y5a9vow/7vgjn5Z8yrrSdawuXs2vt/6apW8s5dn8Z7km5xpeuPIFsmOyAUWKtuxIfr/ePUDGhMkgBKWHIy9SLqUkf91HpE+YxJIZ1zFxhpI/v2Pnmm5tjx49ynPPPYfNZuO+++4jOTm5W5uO7F/zPkJoiE0dRdGewa1lDJXK1ko+PvUxN+feHLH2/TmBvUopUp46sKLozpZm6itLcWS58Ra34DnRNDLzO8dRY/jnIEG3n6YPitBn2LAMQDMnzFsFb9HibeFLU740pHmMixvHG9e9wabyTbx2/DVeOfYKLxx5oe28SWviiqwruHPinUxOnNypb3VRAV6Xk9FTpvd7HZPNRnJWDqWHD3IRn49obqX5B2isrODCmz4HwPeW/JR/v/JFVm17lQuW3ECsKRZQNlW9/vrrpKamcscdd2C19i08JqXk8KZ1jJk1h/S8SWz877M4mhqxxsb12W+4+e/R/wLwhQlfOK3XHVbqTsD2x+Hyn7bn11eHSl6n9L6Q3xOl+YozEHfpWDTNdpo/LMY4Pva83zk7UFSDfw7SuLKAYKuXxDsnDThe6gv6WJG/glnJsyIug9cXGqHhkoxLuCTjElq9rRQ2F6LVaNFr9GTYMnr1PksOKgUoMidFpl0yeup09qx6B7ejNSI1w/0ffYDJFsX4C5U8/1hzHIlZY2isP85DGx7iH5f+g48/+phdu3aRlpbGnXfeidls7mdUpeZpa30d82/9AkmZ2YDy5TLh4uHZ9BQJTp+TN46/weKsxYyyDWyj3VmDswEeXwh+F8SOhou/rRyvCpUfTJnce98eKDm0D4PZzKjcXFyL62h87TiuQ3VYBiAR/llADemcYzj21uDaV0v0FVmDkttdXbSaSkcl9065d9jnZjPYmJY0jckJk8mNy+0z1HByzw6Sx4zFEhMb0di5F1xMMODn5K7+i5u0NjZQsHMrky+9olMRjDHjp5LssLC3dA9/fvzP7Nq1i/nz5/OlL30pImMPUBgK4eTMnEtyzlj0JjPlx45E1He4eKvgLew+O3dOuvO0XndYKd2uGHuAvS8qsXuAir0QMxrMsQMaruTQfjImTkGj1WKZmYwu2UzLmlOdlDRVVIN/TuGvd9G0sgBDdjRRlw1c98Mb8PLovkeZED9hWHdlDpTWxgYqTxxj/NyLIu6TOi6XqMQkjm/b1G/bg2s/JBgIMG3xlZ2OJ2fn4NNbuLriaryNXrIWZrF06VJ0ushvdAt37yAlZzzW2LgOKaMnIu4/VNx+N88ceobpSdOZntR/OOyspTpf+b3s91B3DIo3gccOJz6G8T1Ld/RGQ0UZTVWVZE+fBSh5+THLsvHXumjdMjDhvfMd1eCfI8hAkPqXj4EQxH9uALokHXj56MuUt5bz4OwHh60Q9WA4uWs7SMm4uX3LOXRECMHEiy+laN9u7A11vbZz2VvY/d5KcmbNJT6tc1plY1DgyhxHrNlG3cw6Hil/RFHrjJDWxgYqC44xbk67IFs4ZTTgPz3pmS8ffZlqZzXfmvmt03K9EaM6XwnlzLlXkUHe+Bc49Kbi9U/73ICGCt/1je3wvpgmJWCaEE/LR8X4G93DOvVzGdXgnwNIKWn+oBhfqZ24m8ehix24emGLt4X/HPwP89PmMz9tfv8dRpCjW9YTl5ZBwgC3wE+9fBkyGOTQ2o96bbP9rVfxulws/PzdnY5v2bKFTzZuQutyMC05nv+96n+ZnDCZ76//Pp+UfBLR9Qt37wBgbIcvqtSx4wn4fNSVDJ9+fG80e5p54uATXJx+MfNGzRvx640oNYeVwiZ6Myz4jqJz/+63lMXazIE9txM7t5KcPZboxPbsKiEEsdePBQlNb58c3rmfw6gG/yxHSknLmlO0birHeuGoQS9C/X3337F77Tw4+8FhnuHAaKmrpezwISYuuHTAGRSxqaPInjGbPavfxePsvsW/uaaKfR++x+RFi0kcnQ1AMBhkzZo1rFmzhkmTJjFa+GkoLcait/Cvxf9iQvwEHvz0QR7Z/UivewnCFOzcSkxKaietllHjFP35wUg/DJSnDj6lvIezzux7OGT8HiVDJ7wwe+HX4Or/VTz7u96BAXwuakuKqTx+lLz53eW1dXEmopdk4T7agPtYw3DN/pxGNfhnOS0fl2D/tBTr3FRir4tcxqAje6r38OrxV7lj4h1MiO9Zhvh0kb/+YwAmXrxoUP0X3H4nbnsL2958pdNxKSUfPfEoQqtl/m1KqqLH4+GVV15hy5YtzJ07l1tuuYXUMTnUFJ1ESkmMMYanlj3FTeNv4qlDT3Hv6nsps/cssuZ1OSk5tJ9xcy7o9EUVnZSCKSqaqhGO41e2VvLikRe5duy15MXnRdTH7/NRe6rojO4G7pHqQyADkBrK0BIC5n4Zbvo3WBMGNNS+D99Dpzcw9fLu1doAbPPT0CaYaHq/EOkb3rKN5yKqwT+Lceyqxv5JCZbZKcTeOG5QcXu3380vtvyCdFs635jxjRGYZeQEAwEOfLyarGkziU0dXDphSs44pl6+lN3vrWyTZpBSsvGlFZw6sJdFd95HVHwiFRUVPPHEExw/fpwrr7ySq666Co1GQ3J2Di57C60NSqFus87Mw/Mf5k+X/ImCpgJuePsG/rXvX7j9neO+xfv3EPD7GTun87qDEILUseOHxeDXlRTT0EPBdiklv9v+O4QQEb+HPrebl3/+/3juoW/y6q9+1Fa79aygbJfyOyNyDaeecDtaObzxUyYsuLRXtVWh0xB3/Tj8NS6aVhUN6XrnA6rBHwaKD+zlw8f/MWAJ375w7K2h8Y3jGMfFEjdIYw/w+P7HKW4p5ucX/fyM78gs2LWN1ob6IReKXnTXl4lNHcWbv3+Yj/7zT1791Y/Y+fbrTFu8nCmXL2Pjxo08+eSTeDwe7rzzTi64oN0rTx2rhGAqjh/tNOaVY65k5fUrWZS5iMf2P8b1K69nVeEq/EE/AEc3b8AcHUN63qRu87FkpFBXWsx3Pvwmf9v9N+pcvS8q98bx7Zt5/off4b8/+S61pzobpveL3mdd2Tq+NfNbEeXdB4MB3v+/v1BddJLJl15B5fGjFOzuP531tFG2SxFHi1D+uDfy132C3+Pp9/Nkyo3DtiAdx9ZKXIfrh3TNcx3V4A8RR1Mj7//jzxz6dA0vP/wDGquGngbm2FlF46vHMObEkHDXpAEVJO/IlootPJP/DDeMu+GML9QC7PvwfaKTksmZNTTPzmC28Llf/Ykxs+ZwdMsGWmprueJLDzD75i+wYsUKPvnkEyZOnMgDDzxATk5nqdzkMWPRG02UHeku05BqTeUvl/6Fp5c9jc1g4wcbf8Di1xbz5/W/pWDXNiYtvKyt6pYv4GNvzV4eWv8Q/6xaARLqTxXzXP5zXLfyOvbW7I34+XicDj76zz9JyhqDzmBg3XNPtp2rcdbw++2/Z0bSDO6YeEdE42144RlO7trGZXd/haX/8y1iU0ax5/23I55P33N1UtxPplS/lO1UvPsh7IL1ul3sfOd10idMJmVM/6HOmOXZ6NOsNL5+nECzZ9DXPddRDf4Q2bHyNbxOJ7f89DdotTpWP/YIweDgYoVSSlrWltD4xgl02TY883UDLx4R4ljDMb6/7vvkxOTww3k/HNQYw0lNcSGl+QeYtvhKNAOQve0NS3QM1333x3zz2Vf58v89STBpFI8//jjV1dXceOON3HLLLT0WLdHqdKRPmNS2Fb8n5qbO5bVrX+ORyx5hRvIM9qz7ABkM8nffq9zyzi1c/ebVzH1xLnd9cBcbyjdw+YU3ghB8Lf4LvHX9WySYEvjqR1/lWMOxiJ7LznfewN1qZ8n932DqFcsozT+Io6kRX9DH99d/H1/Qx68u/hXaCF63/R+tYvf7K5mx7BpmXXkdGq2WCRdfQvnRw7jsLRHNpzfqy0p5/off4o3f/4Jnv/s1WupqBj5IYzE0FkHm0GoN73znTRxNjVxyR2QbCIVOQ/znJyD9Qer/e3RAFbzOJ1SDPwT8Xi+HN37K+HkXkTV1Bpff+z9UHDvM7kF6U/ZPS5XdgWP0vLrpd7zyq4fY9+H7Ax6n1F7KVz/+Kma9mUeveBSrvm99mNPBxv8+i8lqY3qXzVBDpbm5mRdffJF33nmHtLQ0HnjgAaZPn95nBlDGpKnUl5XgaGrstY1GaLhi9BX8bdHfWNw8BX1GArnjZzLKNooJ8RP40pQv8edL/8yaW9bwvYU/JDVnHMUH9pIdk81Ty57CZrDxzbXf7De809rYwO7332bCxZeSMmYsE+ZfgpRBjm/bxD/3/pO9NXv55fxfRlSXt3jfbj55+nHGzJzDZXd/pe14zux5SBmkaN/ufsfojcaqCl77zU/wezxc+Y3vIaXk4ycf672Dxw77/qukW3bk0BvK74kDV2kNY6+vY9e7b5I3/xLSciNPQtAnWYi7JRfvqRYa3yr4TCpqqlo6Q+DEzq24W+1MvXwZABMXXsaJHVvY/PJzjJkxO+JSa9IfpOm9QhzbKjHPSOKdHX/HGhdLXNpk1j77b0aNzyMlZ1xEY9W56rh/zf2KZs7yFaTZBi6dHCnNNdVsevk5ci9a0Oeu2VMH9lG8fw+XfvFLmGz96+BEgpSSPXv2sGbNGoLBIFdeeSVz585Fo+nfh8mePotNL62gcM/OXrM7wlQVHKepvIwl93+DaZcs77Vd1rRZ7Hj7NTxOB8mWZP7v8v/j7g/u5tuffpunlj6FSdfz3oktr71IMODn4tu+CEBCxmgSR2ezc937PD1xM7fk3sKVY/r/kqwtKebdR/5AYmYW13z7oU4F31NDO4NP7trOpIWX9TtWV1rqanjt1z8h4PfzuYf/QELGaOx1tWx6+Tnqy0pJyOhh1/fmf8CGPymPP/8K5C2HYAAOvAoZ8yBucGUIg4EAHz7+d6QMdttrEQmWaUn4qp3YPylBn2olauHQ1hGGSsAfpLqoGXu9m6YaFwF/EJ1eQ1yqlXFzkodd/E318IfAobUfEpOc0laxSQjB4i9/HYPZwurH/kbA7+93DH+Dm5rH9+PYVontkgzK4gppKC/lki/ey1Xf/D6WmFg+/Pc/IhqrsLmQe1bfQ727nseueGxA1agGiqvVzqu/+hFHN6/nnb/8lgMfr+6xXTAQYMOLzxCdlDzkxdowjY2NPP/887z77rukpqbywAMPcMEFF0Rk7EGRWIhOSuHEji39tt3zwTsYzGbyLupbiiJ7xixksN2LnpQwid8v/D0Hag/w080/JSi7hxBqigs5uHYNM5Zd0ylradTs6diLypiky+GhuQ/1O8fWxgbe+uMv0ZvM3PiDX2Awdw5lCY2GnFlzKd6/e8A7glsbG3jt1z9RwpY/+TUJGaMBmHrFMrQ6HfvW9HIHeuQdJWyTOhXevB+KNsC630PtUbjgfwY0h46sf+FpTh3YyxX3PUBM8uCkvaOvGI15SgLNqwpxnYH8/IA/SPHBOj5ZcZhnHtrEW/+7l4+fPcLuD4o5sLaMnauK2fz6iRFR+lQN/iBprKqg5NABply2FNHB0Fhj41j85a9RXVjA+uef6vO20XW0ger/24u/1kXCnRMxL0ph8+svkj5hMuPmXoTJauOK+x6gtriQXe++2ed8NpZt5I7378DutfPvJf9mWtLA9MQHypZXX8BeV8fnfvknsqbNZO0zj1NXUtx9Xi+toKb4JJfccS86Q9+F0vsjGAyyfft2HnvsMcrKyrj66qu5++67iY+PH9A4QgjGz7uQkoP7cDtae23XXFPNsa0bmbb4Soz9FDFPy52ANS6eY1s2th1bnLWYB2c/yIfFH/KnnX/q9FmQUrJuxROYbFFcdHO75HOdq47HvW8BcLdYjlnXt6ib1+XkzT88jNtu58aHft5rMZmc2RfgdbkoO5zf53gdcdlbeP03P8XR2MhNP3q40+KoJTqG3IsWcnjDJ3hdzs4da48rhn3KLfC5lxQhtBXXwoY/w5SblZ8BIqVk6xsvsWfV28y88lqmXtb3nVlfCI0g7rY89KlWGv57FG9F75+B4UJKSWVBE+tePMozD23i/UcPULi3luypiVz51al8/hcX8NV/LuKr/1zE//zjUm78/uwRmYdq8AfJrnffRKvTMWVRd6Gn3AsXMOuq69m7+l3WPfdkN6MfdPtpeq+Q+mfz0cUaSfnWTMyTE9ny6gu47C0suuvLbd/u4+deRO5FC9ny2otUnui+CCil5NlDz/L1T75ORlQGL1/9MjOTZ47Mkw5RU1zI/jUfMH3plaRPmMRV3/w+BouV1f96pFMZwuPbNrHr3TeZvvRq8i7qvhNyINTV1fHss8/ywQcfMHr0aL72ta9FHMLpiYkLLiPg93N00/pe22x+5Xm0Wh2zruw/3qzRaMm98GKK9u3q9CVy7+R7uXPSnbx45EUe3fdo22fh2NaNlB4+yMW3fbEtzLWjcgd3f3A3Zdo64vPGUrpxW593dn6fj3f++nvqSoq59sEf9hn2y5o6HZ3ByPHt/YvPgZI59Mbvfk5zdRU3PPRz0nK718ydsfRqvC4Xhzd82vnE0XeV3xOuhthMuH8d3PA4fOFVuOnJAWfn+H0+Pnj0r2x59UUmLryMRXd+eUD9e0Jj0JJw9yQ0Ji21TxzEW2of8pg90VTtZPs7hbzws628+Zc9HNtWxejJCVz9tWl86c8LWXzvJHJmJBE/yoomVDFMp9cSkxSZeutAUWP4g6Clrob8dR8z5bIl2OJ73hm46K4vg5TsWfU2HoeDJfd/Ha1Oj/NgHU0rCwg6fVgvSCX2mhyEXktp/gH2rn6P6Uuu6laEecmXv05VwTHe/t/f8rlf/onYlFQAPAEPv9zyS94tfJelWUv59cW/HvFcexkMsvaZf2Oy2ZgfijtbomNY8pWv887//o63//IbLr79Tk7u3s6Ola8xanwel909tH/QXbt2sXr1anQ6Hddffz0zZswY8u1u8pixJGXncGDth0xfelW38aoKjnNk0zrm3XBrvyUYw0y+dDF7P3iXfavf48KbFQEwIQTfn/N9Wr2t/PvAv7F77Xx9/Ff45Kl/kToul2lXLMMX9PH77b/nteOvkWHL4F+L/0XcxCBv/fGXHN64tkdv1u/18u7ffs+pA3tZ9tVvM2Zm36mueqOJvIsWcGTTei6540t93rG47C289adfUXuqmOv/3096LTI/anweqeNy2f72a0xedAV6Y2id4vA7kD4HYkLxcUs8zIiscE1XnC3NvP2X31Jx7DAX3/ZFLrjp9mELdehiTST9z3RqnzxI7RMHib89D/Pkge307YoMSk7l11NyqJ7q4hZqTtkRAjImxDHvmjGMmZGEYYAV6oYT1eAPgvXPPYXQaJl3w629thFCsOjur2C0Wtn6+ks4ahtYkHcLvn3N6DNsJN47GUOGomdfX17Ku4/8kdhRaT0uRJlsNm78wS945eEf8vpvf8rnHv4jNdpmfrrppxysO8g3ZnyD+6fdf1qq++z7aBXlR/NZ+tVvYba16/GPnzefJfd/g7VPP86LP1a0XvLmX8Li+76GVqcf1LUCgQCrV69m586djB07luuvv57o6J53VA4UIQQzllzFR0/8k5KD+8maNqPtnJSS9S88jSUmlnnX9/4edyVlzFhyZs9rS4sMe+4aoeHh+Q9jM9h4Pv95nK9sI84N/mXj+ce+/2N92XoKmgq4Z/I9fH3G1zHpTMikIKPG5bHppecYP29+p6IvXpeTlX/6NaVHDrH4y19nymVLIprf9KVXkb/+Ew59uobZV9/QY5umqkre/MPDtNRWc823HyJn5txexxNCcOkdX+KVX/6QbW+8zMIv3AONp6ByHyz5VaQvW6/Ul5Xw1h9/iaOxkWu+84Mh3yX2hC7eRPJXp1G34jD1zx8m6vJMohdnDXijY8Af5MSuavauKaGhwoHeqCUxw8b8m8eROzcFa6yx/0FOA+JsTk2aM2eO3LVr15meRicOfrqGNY//g4tv+2KbF9cX0hfk5AsbkIfdmDQWmmIbSL51Ksljc5DBIEc2rWP9808hNBpuf/gPxKdl9DpWZcExXvv1T8GkY+W0k7jjdPz64l9zRdYV/c4jGAxwZOM6yo8dJnPyNPIuWjDgfPjKgmO88vAPyZw0lZt+9Msev2Caa6qpOnmCxMzRbQt8g6G5uZnXX3+d0tJS5s+fz+LFiwcdvukNv8/HU9+8j6ikZD73yz+2vR57Vr3NpyueYPGXv870JQNLI60pLuSFH36HGcuv5vJ7Oi9OSil5bsVvqftgG9snNnBkjB2dRsfYmLE8MP2Bbu9jdWEBL/7ku2RPn8V13/0xOoOBkkP7+fjJR2mqruLKr3+XiQsWRTw3KSWv/+an1BSd5N5H/o0lOqb9XDDI/o8+YONLz6LR6rj+//1UqSUcAR8+/ncOrfuYK7/+XSY51sD2f8O39g46EweUO6zXf/cztDo9N/y/nzFqfGT6QYNF+gI0rjyJc3c1pgnxxN+eh8bcuz8c8AUpP9FI2ZFGKgqaqC9vxe8NEp9mZdayLMbNTkY7yA2TQ0UIsVtK2eMtn2rwB8DRzev54NG/kjl5Gjf+4Bdo+yicIaXEfayR5lVF+GucaEdbOBHYy+6t7xEM+NHpDQSDQYIBPyk547nyG98lIb33oiZBGWRtyVo+3fUOxneOY/LrWHj3fVy45IZ+PXu/z8cH//cXjm/fjM5oxO/xkJw9lsu/9FXS87rHZnuivqyEV375I/RGE3f87q+djAUoC6qNjY3U1dVRW1tLXV0dbrcbs9mM0WhEo9EQHx9PSkoKaWlpaLW9f9kUFBTw5ptv4vP5uPbaa5k2beQWoPPXf8Lqx/7GjGVXc9k993Ns6yY++Of/kjNrLtd//6eDumv6+MnHOPDxam792W86FWkv3rebN//wS8bNu5CpX/o80cZo4kxxfdYm2P/RB3z85KNY4+KxxsRRU3yS2JRRLLn/GxHVA+5KXekpnv/Bt0nPm8i13/sxJquNyhPHWP/C01QcO0zWtJks+crXiUlOjXhMn8fNG7/7OeVHDzM2qpHcyeNIuP5neJxOnC1NOBobaamtprm2hpa6Guy1Nfg8bqSExNFZzLryOiZdcnnba11x/Chv/O7nmKOiuPVnvxt0Ns5AkVLi2FZJ07uFaKP0RC8fg2V6Upu3H/AF2f5uIUe3VuJzB/D7gmh0gpSsaJKzosmcFM/oyfFnvI6uavCHiN/rZcOLz7B39bukT5jMjT/4Ra8xUCklnoImWj46hbfEjjbeRNz1YzHlKZkkzuYmTu7eQX15KRqtlvS8SeTMnNMp06cr+2r28YcdfyC/Ph+r3soto64lfV0zFUeVf9D5t97BqPF5PX7QPE4n7z3yh7Y8+NlX38CxrRtZ/8LTtDbUM2nhZSy8415scb1nupQdOcTbf/ktWp2O237xB+LT0vF4PNTW1lJUVERhYSGlpaX4Oyww2mw2LBYLTqcTr9dLIBAgEFB2IBsMBsaMGUNOTg5jx44lISEBIQTNzc3s2LGDzZs3k5SUxG233UZS0sjXJF333BPsfv9tDGYzXpeLtLxJ3Pyjh7ulN0aK1+XkhR89iNvRym0//x2JmVmUHT7Eyj//mqjEJD7/6z9jMEW+KFdy6AD717yPq9VO9vRZzLzy2k6lGwfKkY2fsurRv6LRaNAZDHhdLkxWG4vu/konwzsQAi47u377OXaeDOAJdneE9EYT0UnJxCSnEJWQhMFiQQaDnDq4j9riQmZddT2L7voyLnsLK77/dQwmM7f+/HdEJ57+mrSekhaa3j6Jr7wVfboN29Isqp0BDqwro/xYIzkzk7DFGcmcGE9GXhy6Qe6GHylUgz8EakuKWfWPP1NXeopZV13Pws/f3WN6od/jo+lAOS2byjBUS+wmF5vH5LMt+RDOoIskcxJZMVlclnkZ05OmR1RxKhAM8MTBJ/jX/n+RZE7iW7O+xdVjrkar0SKDQfZ9tIpNLz2H1+Ukdex4pl6xnLTxecSkpKLTGyg7coiPn3yMxqoKlnzlG502GXndLra/9Sq733sLrV7P9CVXkXvhAlJyxrX9wztbmjn06UdsefUFLClpzL7tTpqdLsrKyiguLiYYUmBMTk5mzJgxpKSkkJSURGJiYrcasVJKmpubKS8vp7CwkMLCQhoblZ2uVqsVo9FIQ4OSEz1jxgyuuuoqDENM4xwIx7ZuojR/P4mZ2Uy5bMmQU0gbKsp59Vc/wuNwkJIzjvJjh4kblc4tP/lVp0IdZ4rakmKObdmAx+kgJWc8uRfMH9gX3K6nYf8rYLAqlauKNkDDSYLXPUZD4sU0VlVgtNiwxMRgjY3DZIvq8YtESsmnK/7D3g/eZelXv0Xxvj0U7NzGF//wCEmhmganA583QEO5g7oyO3WlrThbPMTYvSTVuTALqPQFOe6TzPpcLhPnD24zo5SSQLOHoMOP0ArQCKQ/iPQFlbsIrUBoBdIbJNDqxTxxcAvIqsEfBFJK9q5+lw0vPoPRYmX51x5kzAwlN7bZ08yJxhMUlhynpbgWc7lgbu1ELEETFfoa3kxcS37aKUwmMxadBaPWSI2zhlP2U/iDflIsKdw8/mY+P+HzxJpie7z2pvJN/H3P3znWeIyrc67mZxf+rEeJBK/LyeENn7J39bs0VCha7hqtFq1Oj8/jJiohieVfe7DXTIvGynI2vPgsJ3dvRwaDRCelkDZxCvVNzZRVVBAwWxG2GMK+uxCCpKQkxo4dS2ZmJpmZmURFDbyYOkBDQwMnT56koqICr9dLSkoKkydPJiFhaJkSZwstdTVsfvl5GqsqGD1lOnOuvanT4us5y6ZH4ONfQOo0kEFoqYDE8XDJQwOuRwvK+tLrv/kZZYcPIWWQBZ+7iwtuvG3Yp+11+Wlt9NBY5aCyoJmT+2pwO/wEA0GC/nY7aDBpscUrGUcJqRYygkGiylsR/iDm6UkY0qPQxRsx5cX3KWwYsHvxltnxlrXiC/0OOrzE6/+CUbO/z7kGRQy6X+wf1N3WWWPwhRDLgb8DWuBJKeUf+mp/Og2+DAZprKqguugkFceOULhnJy211SRPnYTt2jkU+cpoLKvBUi4wOfRMdY5jglvRNwmIAKWjm2jM8xEzPoU5qXN6TI9s9bayrmwd7xW+x+byzZh1Zq7JuYb5afMx68w4fA721e5jY9lGiluKybBl8O3Z32ZZ1rJ+33gpJXWlp5SfkmL8Hg8pOeMYN/fCNs9NSokQAp/PR2tra6e+5SWnOLhrF2UV5TgDsi1XOiEujsysLFJTU0lLSyM1NfW0et4qZxE+l7JbdvPflc1TN/4HtMOT6OdqtbPpvytwO1q5+lv/r5M0REeCbjf2Tz5BtjYSrDhAwBvA5wsS8Abx+4L4PH4C/iDBIBAIEggqqZI+bwCvsz3kKDRgjTVhMOvQCGUzltGqw2zVozdqu+0VkP4g3opWArUuZECxmUKnQZdsRhdvAglBl5+A00fQ5Uc6/UhfaHe1AGHSobXp0Wob0dWtJxg7FamzKv/X4UtJkKF/PU10FDE/W3HuGnwhhBY4DiwByoCdwOellId76zNcBj8og7j9bhw+B263E6erFXtdPa21tTTX1NB4ogh3cTXmgAmrLgaLMRatLYqAUY9ObybOH0VMIApDUE+AID4RwJUQQDcuhkC8HmkSBDQSv9+Pz+fD6/UqC7LBIHa7nUAggBCi7c0TQtDqa6WwuZAKRwUBqcS2JRKNECSa48mKTWNMXCY6rTb02VPeJymDeH1evB4Pfr+P1lY7gf/f3tnG2FGVcfz332XboqWupVssIFAqxDQE26IErZJIjEK/FKMmjRgxIeGDVjEGTQ0JwRiNSMRgjCQ1NkFiIPEFpLHyosHUkCqt0DdSGlpbsFDZYgtd0rLd3Xn8cM7dnb33zr27d+/L7J3nl8zOmXPOnPOf59559szMneeMjmIkWJJgZpiNhTWGJQmJJYyOnGF0ZCRqSKIOAxkirtXDwKJzOe99AyxevJiBgUXM6esb7/vMyHFGR6f+gopZCJ8ykVFWXrFDvX9qtQrra6ldoUZTk3QZw8PHGB09kVE+sb96VXnCVjRetu+0dNZru4G+DKx0PCMjMHwSe+cknDqODR2DsYSk/+Iw92xsz0zjzgoUXi6LaWLSEpGMGZYYSXTCYQ3JmKWW2E5C/A6HOmbCxoz5217l7FeGJo5fioetsChlF/WkyphcV0rZr7wdMKl6myhVVqo30b9VOGhDZpPWpbRKxiEJraXq9c4zrtuyscoHVJ9aDr+dv8O/GjhgZv+Ooh4G1gKZDr9RfrruS5ScWmBqnuI0wxw/8xacegVOBAecySGDrP9FU/RM/XGp1HeSYQ7zYtWydEsGjNask6beoyUDBnmZBoLeOlU5C/UsoNzRzk4WxKVE6+fwzeTCqb7X0ckQyMZMPnfr6eO65okZp50O/wLgP6ntI0BFUGxJtwK3Alx0UWO/4+7VHFLjrCnsMdUPRpWb1UZsdZpTo/1VFAnRS4iQkT+n0mPvICufbKL2ML/KY726/YwPsCuH5nXann5f09k3IWEsOT3jthuxSSZ1bFS/bCp5lXWUdTkxpX4ntsd64ER/DyM9PZxibmUtVe5jlbUq89NX0TU0VV6EZvUzGaX+Tu6uLC+mxmr8bHkmtNPhVzvfKr9+ZhuBjRBu6TTS0Tce2tTIbo7jOF1NO18FOwKk3yy6EJj5fICO4zjOlGinw98OXCZpqaQ5wDrgsTb27ziOU2jadkvHzEYlrQeeIDw/3GRmUw/O7TiO48yItkbLNLMtwJZ29uk4juMEfAIUx3GcguAO33EcpyC4w3ccxykI7vAdx3EKQq6jZUo6Brzc4O6LgDeaKKcVzAaN4DqbyWzQCK6zmbRb48VmVnUigVw7/JkgaUdWAKG8MBs0gutsJrNBI7jOZpInjX5Lx3EcpyC4w3ccxykI3ezwGwsm3V5mg0Zwnc1kNmgE19lMcqOxa+/hO47jOJPp5hG+4ziOk8IdvuM4TkHoOocv6XpJ+yUdkLQhB3oOS9ojaaekHTFvoaSnJL0U1+9N1f9u1L5f0mdaqGuTpEFJe1N509Yl6ap4fAck/UyNzLo8PY13SXo12nOnpDUd1vh+SU9L2ifpBUm3xfy82TJLZ97sOU/Ss5J2RZ3fi/m5sWcNjbmyZVXCpNfdsRDCLh8ELgXmALuA5R3WdBhYVJb3Y2BDTG8A7o7p5VHzXGBpPJbeFum6FlgF7J2JLuBZ4KOEGc3+DNzQYo13AbdXqdspjUuAVTF9DmGy1+U5tGWWzrzZU8D8mO4D/glckyd71tCYK1tWW7pthD8+UbqZnQFKE6XnjbXAAzH9AHBjKv9hMxs2s0PAAcIxNR0z2wocn4kuSUuABWa2zcK399epfVqlMYtOaTxqZs/F9BCwjzB/c95smaUzi07pNDN7O272xcXIkT1raMyiI7asRrc5/GoTpdf6UrcDA56U9C+FCdoBzjOzoxBORGBxzO+0/unquiCmy/NbzXpJu+Mtn9Klfcc1SroEWEkY8eXWlmU6IWf2lNQraScwCDxlZrmzZ4ZGyJkty+k2hz+lidLbzGozWwXcAHxN0rU16uZRP2Tr6oTe+4FlwArgKPCTmN9RjZLmA78HvmlmJ2tVzdDTKZ25s6eZjZnZCsK811dLuqJG9Y7ozNCYO1uW020OP3cTpZvZa3E9CDxCuEXzerycI64HY/VO65+uriMxXZ7fMszs9XiyJcAvmbjl1TGNkvoITvQ3ZvaHmJ07W1bTmUd7ljCzN4G/AdeTQ3uWa8yzLUt0m8PP1UTpkt4t6ZxSGvg0sDdqujlWuxn4Y0w/BqyTNFfSUuAywkOddjEtXfHSekjSNfHXBV9O7dMSSid95LMEe3ZMY2zzV8A+M7s3VZQrW2bpzKE9ByT1x/TZwKeAF8mRPbM05s2WVWnlE+FOLMAawi8QDgJ3dFjLpYSn87uAF0p6gHOBvwIvxfXC1D53RO37aeETe+AhwmXnCGGkcUsjuoAPE77YB4GfE9/ebqHGB4E9wG7CibSkwxo/TrgM3w3sjMuaHNoyS2fe7Hkl8HzUsxe4s9FzplU6a2jMlS2rLR5awXEcpyB02y0dx3EcJwN3+I7jOAXBHb7jOE5BcIfvOI5TENzhO47jFAR3+E4hkNQv6aup7fMl/a5Ffd0o6c6MsrfjekDS463o33GycIfvFIV+YNzhm9lrZvb5FvX1HeAXtSqY2THgqKTVLdLgOBW4w3eKwo+AZTFO+T2SLlGMsy/pK5IelbRZ0iFJ6yV9S9Lzkv4haWGst0zS4zEQ3t8lfbC8E0mXA8Nm9kbcXippm6Ttkr5fVv1R4KaWHrXjpHCH7xSFDcBBM1thZt+uUn4F8EVC/JMfAKfMbCWwjfDKO4TJqL9uZlcBt1N9FL8aeC61fR9wv5l9BPhvWd0dwCcaPB7HmTZndVqA4+SEpy3EiR+S9BawOebvAa6MUSY/Bvw2NSnR3CrtLAGOpbZXA5+L6QeBu1Nlg8D5zZHvOPVxh+84geFUOkltJ4TzpAd400JI3FqcBt5TlpcVv2RerO84bcFv6ThFYYgwtV9DWIgdf0jSFyBEn5T0oSpV9wEfSG0/Q4jaCpX36y9nIqKi47Qcd/hOITCz/wHPSNor6Z4Gm7kJuEVSKfpptekztwIrNXHf5zbCxDfbqRz5fxL4U4NaHGfaeLRMx2kyku4DNpvZX+rU2wqsNbMT7VHmFB0f4TtO8/kh8K5aFSQNAPe6s3faiY/wHcdxCoKP8B3HcQqCO3zHcZyC4A7fcRynILjDdxzHKQju8B3HcQrC/wGiSks1GCp7kQAAAABJRU5ErkJggg==\n", 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\n", + "image/png": 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\n", "text/plain": [ "
" ] @@ -591,7 +591,7 @@ "array([0., 0., 0., 0., 0., 0., 0., 0.])\n", "Coordinates:\n", " * id (id) int64 1 2 3 4 5 6 7 8\n", - " time float64 11.0" + " time float64 11.0" ], "text/plain": [ "\n", diff --git a/examples/symba_swifter_comparison/mars_disk/param.swiftest.in b/examples/symba_swifter_comparison/mars_disk/param.swiftest.in index 26da39092..e36498f4b 100644 --- a/examples/symba_swifter_comparison/mars_disk/param.swiftest.in +++ b/examples/symba_swifter_comparison/mars_disk/param.swiftest.in @@ -24,7 +24,8 @@ BIG_DISCARD no RHILL_PRESENT yes GMTINY 1000.0 ENERGY yes -FRAGMENTATION no +ENERGY_OUT energy.dat +FRAGMENTATION yes ROTATION yes MU2KG 1.0 DU2M 1.0