Repository: JQIamo/pylcp (language: python)

Issue:
Rate equation set_initial_pop should give error when array is not the right size
Right now, if I try to set_initial_pop with an incorrectly sized array (say length 4 when it should be length 16), it produces no error until I try to subsequently evolve the state or atom motion.
parallelIntegrator: change implemenation
I changed the implementation of the dealing with arrays for the parallelIntegrator to be more straightforward.

Tests with 04_adiabatic_passage.ipynb appear to work fine.

SPE


Discussion / hints:

Fix patch:
diff --git a/docs/examples/basics/06_optical_pumping.ipynb b/docs/examples/basics/06_optical_pumping.ipynb
index fda2dd4..40f2938 100644
--- a/docs/examples/basics/06_optical_pumping.ipynb
+++ b/docs/examples/basics/06_optical_pumping.ipynb
@@ -29,7 +29,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "source": [
     "### Define the problem\n",
     "\n",
@@ -56,28 +58,29 @@
     }
    ],
    "source": [
+    "gamma = 1 # Also can demonstrate how to change gamma from 1\n",
+    "\n",
     "# First the laser beams:\n",
     "laserBeams = {}\n",
     "laserBeams['$\\\\pi_z$']= pylcp.laserBeams([\n",
     "    {'kvec': np.array([1., 0., 0.]), 'pol':np.array([0., 0., 1.]),\n",
-    "     'pol_coord':'cartesian', 'delta':-2.73, 's':4*0.16*(1+2.73**2)}\n",
+    "     'pol_coord':'cartesian', 'delta':-2.73*gamma, 's':4*0.16*(1+2.73**2)}\n",
     "    ])\n",
     "laserBeams['$\\\\pi_y$']= pylcp.laserBeams([\n",
     "    {'kvec': np.array([0., 0., 1.]), 'pol':np.array([0., 1., 0.]),\n",
-    "     'pol_coord':'cartesian', 'delta':-2.73, 's':4*0.16*(1+2.73**2)}\n",
+    "     'pol_coord':'cartesian', 'delta':-2.73*gamma, 's':4*0.16*(1+2.73**2)}\n",
     "    ])\n",
     "laserBeams['$\\\\pi_x$']= pylcp.laserBeams([\n",
     "    {'kvec': np.array([0., 0., 1.]), 'pol':np.array([1., 0., 0.]),\n",
-    "     'pol_coord':'cartesian', 'delta':-2.73, 's':0.16*(1+2.73**2)},\n",
+    "     'pol_coord':'cartesian', 'delta':-2.73*gamma, 's':0.16*(1+2.73**2)},\n",
     "    {'kvec': np.array([0., 0., -1.]), 'pol':np.array([1., 0., 0.]),\n",
-    "     'pol_coord':'cartesian', 'delta':-2.73, 's':0.16*(1+2.73**2)}\n",
+    "     'pol_coord':'cartesian', 'delta':-2.73*gamma, 's':0.16*(1+2.73**2)}\n",
     "    ])\n",
     "\n",
     "# Then the magnetic field:\n",
     "magField = lambda R: np.zeros(R.shape)\n",
     "\n",
     "# Hamiltonian for F=2->F=3\n",
-    "gamma = 1\n",
     "H_g, muq_g = pylcp.hamiltonians.singleF(F=2, gF=1, muB=1)\n",
     "H_e, mue_q = pylcp.hamiltonians.singleF(F=3, gF=1, muB=1)\n",
     "d_q = pylcp.hamiltonians.dqij_two_bare_hyperfine(2, 3)\n",
@@ -106,7 +109,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Completed in 1.39 s.                                                  \n"
+      "Completed in 1.76 s.                                                  \n"
      ]
     }
    ],
@@ -151,9 +154,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 487.5x412.5 with 1 Axes>"
+       "<Figure size 650x550 with 1 Axes>"
       ]
      },
      "metadata": {
@@ -200,7 +203,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Completed in 1.42 s.                                               \n"
+      "Completed in 1.71 s.                                               \n"
      ]
     }
    ],
@@ -257,9 +260,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 487.5x412.5 with 1 Axes>"
+       "<Figure size 650x550 with 1 Axes>"
       ]
      },
      "metadata": {
@@ -296,7 +299,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Completed in 1.54 s.                                               \n"
+      "Completed in 1.97 s.                                               \n"
      ]
     }
    ],
@@ -342,9 +345,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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L8HsZmZ/CF+oNi4jEJIVwjBs3IIPPNurmLBGRWKQQjnHjCtPVExYRiVEK4Rjn3JylnrCISCxSCMe4kf1SKK9vpqSmye1SRERkLymEY5zP62FM/zT1hkVEYpBCuBeYMDCThRo5S0Qk5iiEe4FJgzOZt67C7TJERGQvKYR7gYmDM1i4oZJAMOR2KSIishcUwr1A//REMhL9LN9W43YpIiKyFxTCvcTEwZnM1ylpEZGYEtEQNsYcG8n9SefpurCISOyJdE/4V60LxphVxpgnjTG/NcacYIzJj/CxpI2JgzKZv153SIuIxJKIhrC1tm1P+HLgS2AKcB+wyRizxRjzv0geUxxjCtIormmkuKbR7VJERKSTuu10tLX2SWvt76y1J1hr+wEDgR8AH0bymOLwez2MK8xg/jr1hkVEYkVPnY6eAYSstbOttddE+JgSNnFwJgvW67qwiEis6KnT0fez43T0i5E8puygm7NERGKLr7t2bK19Eniy9bMxpgCYBBzYXcfs6w4clMEXm6poCgSJ93ndLkdERPYgIiFsjDHAacAEoAr4AvjQWrt99Ahr7WZgMzA7EseUr8pJiacwI5EvNlZxUFGW2+WIiMgedDmEjTHpwOs4PVwTbrZAmTHmd8B/rLW2q8eRzjlkaBYfrSlXCIuIxIBIXBO+DieAbwCmAScAvwTKgTuAWyJwDOmkQ4Zk8+HqMrfLEBGRTohECB8P3Gmt/aW1dq619hVr7Q3AGJyA/pEx5qwIHEc64ZChWcxbV0GLXuYgIhL1IhHCqcDH7RuttSFr7W+BV4DvROA40gn90xPJSYln0aYqt0sREZE9iEQIfw4cupv1z+1hvUTY5CFZfLym3O0yRERkDyIRwncDF+7mlHM/YH0EjiOddMgQ5+YsERGJbl0OYWvtw8DjwCPGmBeMMWcbYzIBjDFTgZ8CT3X1ONJ5hw7N5pM15QRDuildRCSaRWTELGvtucBlwBHAI0CpMaYOeBPnLun5xphB4eeJpZsNyEwkNcHH0i3VbpciIiK7EbFhK621NwO5OI8o3QWsBULAUJwBOtYA9caYJcaY5yN1XPkqYwyHDNWjSiIi0S6iw1ZaawM4d0O/AmCMSQD2B8aH54OAATjDV0o3OmRIFq8vK+aiKUPdLkVERHah28aOBrDWNgKfhifpQYcPy+FP/1tKIBjC5430y7JERCQS9NO5lxqUnURGkp/P9bywiEjUUgj3YkcOz+W9FaVulyEiIrugEO7FpozI4Z2VCmERkWilEO7FDhuazcINldQ1BdwuRUREOqAQ7sUyk+MYnZ+qISxFRKKUQriXO2J4Du/ourCISFRSCPdyU4bn8J6uC4uIRCWFcC83cXAm68rrKK5udLsUERFpRyHcyyX4vRxclMW76g2LiEQdhXAfcNTIXN7+ssTtMkREpB2FcB8wfXQeb39ZolcbiohEGYVwHzA0J5n0RD8L1le4XYqIiLShEO4DjDFMH5XHG8uK3S5FRETaUAj3EUePVgiLiESbbn2VYXcwxpwM/A4YhfOKxJ9aaxfv4Tvjwtu+Z62d3v1VRp9DhmaxobyezZUNFGQkul2O9DLWWgI2QEuwhZZQeGq7HGqhOdi807rmkPM5FAoRtEFnCjnzkA3t9Ll1OWRDBGxgp/UhGyIQatMW/n7IhrBYQjYEFkKEsNZisVhrt69vbevw8+7WtX629qv7JrT996Wj3ysAy451rcsdbt9u3U7f66Btb46z0/dsu2328ji709H3urRdBI85a/wszh1zbqe27Q4xFcLGmJnA08BPgTnA1cBcY8wB1trNu/iOD7gPqOmhMqNSvM/L4cNzeGt5Cd8+ZJDb5UgPs9bSHGqmtrmW2hZnqmuu275c21xLY7CRpkATDcEGGgONO6bgLuaBRidIw2Hb+kPP5/Hh9/jxe/zEeeO2L7f97PP48HvDc+PHYzx4PV68xovHePB5fE6bcdrarmtdjvPE4fU66zzGg8/4tq/3GA8ePBhjMMbsWCb82Xh2LLfZztDxOo9xThrutC683H5d62djjDPHbP9zaF1uXbfT+h1NO7Zr+90O9re7dft6rI62Nzt/YZe17U5HdXdpu04cszNS41Ijsp99FVMhjBO6T1lrbwUwxlwAbAF+EF7Xkd8AccCLwMDuLzF6HT06j9eXFiuEY1x9Sz0VTRVUNlVS2VhJRVMFVU1VVDSG28LtVc1VO4VuIBQgwZtASlwKKf4Ukv3JpPhTSIlzlhN9iSR4E4j3xZOWlEaCN4EEX3jy7pgn+hJJ8CUQ740n3hvvBKx3R9BG6oejSF8QMyFsjBkCHAT8o7XNWttojHkLmEkHIWyMOQDn1PVMwL3zDVFi2qhc/vjCEhpbgiT4vW6XI+0EQ0G21W9jS90WSupLKK4vprShlOKGYkrqSyhpKKGkvoS6ljrS49PJiM9wpgRnnhmfSf/k/ozJHkN6fDrpcemkxqWS7E8mNS6VJH8Sfo/f7V+miLQRMyEMDA7PV7drXw8c2n7jNqeh77TWvm6M6fMh3D89kSE5yXywqozpo/PcLqdPqmmuYW3VWtbXrGdT7SY2125mY+1GNtVsYmvdVhL9iRQkF5CXlEdeUh45iTlMzJtIbmLu9s/Zidn4PLH0V1dEdiWW/ibnh+eV7dprgcwOtv81kAxcvi8HM8bs6mavYfuyv2hx/Nh8Xlm8VSHczcoaylhRuYI1VWtYXbnamVetpqKxggGpAxiUNojClEKGpA9hSuEUClIKKEwtJC0uze3SRaQHxVIItw5+3P6nVDqwtW2DMWZ/4LfAdGttQw/UFjNm7J/P2Xd9yJ9Ot3g9unbXVdZattZtZUn5EpaVL2Np2VKWli+lqqmKoelDGZoxlKHpQzmk/yEMTR/KwNSB+L06JSwijlgK4Y3heREwr0374DbrWv0ESAReb3OTSAJgjDE1wAnW2nd3dzBr7diO2sM95DF7VXkUGZGXQnqin0/WlnPo0Gy3y4k5LcEWlpQvYWHxQhYUL2BB8QJagi2MyhrFftn7cXzR8fxk4k8Ykj5Ep4xFZI9i6afE8vB0KvAUgDEmGZgGXNlu298Bf23X9jegEDgH2NSdhUYzY8z2U9IK4T1rCbWwqHQRH2z+gI+2fMTissXkJ+czIXcCUwqncOnESylKK9r+WIqIyN6ImRC21lpjzJ+Be40x7wBzgT8CVeG244BHgXOstS8DOw0PZYypBrKstat6uPSoc/zYflzyyAKuPGmMHifpwIaaDby36T3e3/w+n2z9hOzEbA7rfxjfGfMdJuRNIDtR/3gRkciImRAGsNY+YIzx4wzW8RfgfeBwa22lMSYENAEtbtYYC8YPyCAYsizaVM0BA9LdLsd11lpWVK7g9XWvM2f9HDbXbuawgsOYOmAqv578awpTCt0uUUR6qZgKYQBr7d3A3R20zwEKdvO9C7qzrlji8RiOG9uPlxdv2RHCwQBsWwSb5kHZSqjeDM21YC14fJCcAyl5kD0C+o2B3NHgj+3hL1dWrGT26tm8tu416lrqOHrQ0Vw26TIOyT9EN0+JSI+IuRCWyJgxNp8rnlvEL8bUYBY+DEufB38yDJgEuftB3n4QnwbGQLAF6kqhdiss/x/M/ZsT0gUTYcgUGHIUDDoMvNH/v1N5YzkvrXmJ51c9z6baTcwomsG1R1zL+NzxeD0awEREelb0/9SUbjE5bjV/r/kNwUdK8B18Ppz/ohO8ndVQAevehzVz4cWfOSE9+kTY71QYNh2iqCdpreWTrZ/w2PLHeHfTuxxecDg/GPcDphZOVY9XRFylEO5rmmrhld/iW/o82wZ8lxv7n8Evjx6/9/tJzITRM50JoGQ5LHkeXv8DPDcLxp8NB54HuaMiW/9eqGupY/aq2Ty27DEag42cNeosfn/o78lM6GhsFxGRnqcQ7ku2LYEnv+tcz73kU/qVevjTowv5xYm263dJ546Co37pTFs+hwUPwd3HQc4IOOhC2P8M8MVH5texB+WN5Ty05CEeW/4Y43LHcdmkyziy8EidbhaRqKMQ7ivWvguPnwvTfgOTfwDGcGCi8+q5+esrmTQ4gr3D/uOg/9/g2Gtg2Qvw8V3w2pVw0PecKbVf5I7Vxta6rdy/+H6eWfkM0wdO54EZDzA8c3i3HEtEJBIUwn3BytfhvxfAaXc4123DPB7DSeP7M/uzzZEN4Vb+BDjgTGfaNA8+uhNumQijT4LDL4H8AyJymLKGMu78/E6eX/U8M4fM5MmTn2Rgap9+a6WIxAgN89PbbfzUCeAz79kpgFudPK6AFz7fQiAY6t46CifBGXfBj+dBxiC4/2R46ExY+57zGNQ+qGup47aFt3HyMyfTFGzi2VOf5feH/V4BLCIxQz3h3qxyPTxyFsy8AYYf0+EmYwvSSEv08dGaco4YntP9NaXmw9G/gyN+AvMfgKe/D2mFcORlMHIGePb878KQDfHsyme5af5NjM8dz4MnPsiwjJh+uZWI9FEK4d4q0ARPfNe5BnvAmbvczBjDqeMLeWbBpp4J4VbxKXDYLDj4IvjiSZhzlXNn9RE/derdxaNDS8uWcu1H19IQaOCGaTcwqd+knqtZRCTCdDq6t3r195CYAdP2/DrlMyYW8vKirdQ1BXqgsHZ8cXDgOTDrIzj69/DJv+GmCfDh7dBct32z2uZa/vzRn7nw1QuZUTSDJ056QgEsIjFPPeHeaM07sOi/MOtD6MRjOQOzkjigMJ2XFm3lzEkDeqDADng8sN9JznPHa9+Bd2+EuX+HQ37IB4MmcNW8fzAudxzPnvoseUl57tQoIhJhCuHeprkOnr8EZlznjPXcSWdOGsCT8za4F8KtjIEhU2HIVOrXf8gNc3/Da6vu54rsyRx74M9AASwivYhOR/c2797oDMaxm+vAHTnhgHwWbapmfVl9NxW2d74o+YIzPrma8gEH8vTx93OsSYF/HQzP/xhKV7pdnohIRCiEe5PKDc6zuMf/2elR7oWkOB8nHpDPU/M3dlNxnWOt5YHFD3DxnIv54fgfcv1R15NdeBCccgtc8onzUol/T3duOtu80NVaRUS6SiHcm8y5GiZ+B7L37XGdMycN5Kn5GwmF9u253a6qaqri0jcv5ZmVz/DgCQ9y2vDTdh5OM60Ajv8T/OQz6DcWHjoDHjzduQa+j88ai4i4SSHcW2z9Ala9DlN/uc+7OLgoE5/H8P6qsggW1jkrKlZw1gtnkRmfySMzH9n9c79JWXDUr+CnX8CI4+CZi+E/x8CyFyHUzYOOiIhEkEK4t5j7dzh0lvNY0j4yxvCtyYN4+KN1ESxsz95c/ybnv3w+F4y9gGuOuIZEX2LnvhiXDIf+CC5d6DwPPedquO1Q+PQeaI6Oa9siIrujEO4Nti2B1W87L2boom8cNJC3vyxhW3VjBArbPWst//niP1z1/lXcOO1Gzhp91r7tqO2zxsdcDYufgRvHwGtXQZW717hFRHZHIdwbvHuDE8Bd6AW3ykqO4/ix+Tz+yYYIFLZrgVCAqz+4mhdWvcDDJz7M5P6Tu75Tj8cZH/u7s+H8F6G+DG49BJ48HzZ8rOvGIhJ1FMKxrnoLLH8pIr3gVuceOohHP17fbS91aAw0ctlbl7G2ai33n3A/A9O64YUL/cbCqf/acRPXE9+Bfx8Nnz0GLQ2RP56IyD5QCMe6T++B/U6BlNyI7XLioEzSE/28saw4YvtsVd1czcWvXQwW7jz2TtLj0yN+jJ0k5zg3q/3kc+ea+bz74Ib94OXfQMny7j22iMgeKIRjWaDJCeFDItcLBucGrXMOHcxDH62P6H7LGso4/+XzGZQ2iBun30iCLyGi+98tXxyM+wZ872W44CWwIbj7OLjnBPj8CWjp/mvgIiLtKYRj2ZLnnGeCCw6M+K5PP7CQhesrWFlcE5H9lTWUceErF3JI/iFcc/g1+Dwujpiatx+ccB38fJnzXPUn/4EbRsNLl8OWz3TtWER6jEI4li14CCZ+t1t2nRLv4+zJg7j73TVd3ldpQykXvnIhhxUcxq8O/tXOA3C4yZ8IE74FF74K5//PednFQ2fC7YfDezc519tFRLqRQjhWVa6HTfNhzKnddojzDy/i+YWbKatt2ud9lDaUctErF0VfALfXb4wzGtfPlsKx1zg94mmXCgQAACAASURBVFsmOSNyff4ENNW6XaGI9EIK4Vj12WOw38kQn9JthyjISORr+/XjwQ/3bfCOmuYafvjaDzm04NDoDuC2vD4YcSyceQ/8fCmMPQPm3Q//GAmPnweLnlIgi0jEKIRjkbWw8BGY8O1uP9RFU4bw4AfraGwJ7tX3GgON/PiNHzMyc2TsBHB7Cekw8Ty44EX48TwoOhI+/k84kM9VIItIlymEY9Gm+RBshsFHdPuhxg3IYFheCs8u2NTp7wRCAX4595ek+FP4wxF/wGN6wf9maf3hkIvhey+FA3lKOJBHwCNnOXepV292u0oRiTG94KdjH7TkWedasKdn/vguOnII/3l3TafermSt5Y8f/pHqpmr+cdQ/8Hv8PVBhD2sbyJcugFEnwoo5cMtBcMcUePPPsGmeXiYhInukEI411oZD+LQeO+Qx+/XDAK8s3rrHbe9ZdA8Lihdw89E39+xzwG5JzYdJ34VvPQK/WgVfuxLqSp3rxzeMhmd+CJ89DjV7/r0Tkb7HxYc1ZZ9sXgDBAAw4uMcO6fEYLjl6ODe/sZIZ++fv8vrunHVzeGDJAzx0wkPdPxJWNPInOjd1jTgW7PWwbRGsehM+fxxe+ClkDIZh02HoNBh8OMSnul2xiLhMIRxrljwHY07psVPRrU4aV8BNc1YwZ2kxx47p95X1i8sWc+X7V3LL0bd0z1jQscYYyD/AmY641BmRa+PHsPoteOuvsG0x9B8Hgw4LT4c670kWkT5FIRxrlr0IJ93Y44f1egyzpg/nljdWcMx+eTv1hkvqS7j09Uu5fPLlTOo3qcdriwn+BBgy1Zm+diU0VMD6j2D9B87AIE+eD1lDnDAedBgMPAQyi5wwF5FeSyEcS8pXQ22x84PaBadOKODm11fw9pclTBuVB0BLqIWfv/1zThx6IqcMO8WVumJSYiaMmuFM4PSUN893QnnRU/DSr8B4oXCiMyxpwURnOTXf3bpFJKIUwrFkxRznmqLXnTuO/V4Ps6YN46bXV3DUyFyMMdzw6Q34PD5+MvEnrtTUa/gTnOvEgw93Plvr/KNr8wLnkbT3b3ZG8UrICIfyBOcVjf3GQvqgHr88ISKRoRCOJStegf2/7moJZ0wcwG1vreL1pcW0JM7n1XWv8vhJj7v7QobeyBjn5RzZw+CAM522YABKlzvBvOUz+OA25+avUNB5KUVrKPcbC3ljIDHD3V+DiOyRfnLGiuZ6WPsenHa7q2XE+Tz8/LiR/GnOmzTl3sxtX7uNnMQcV2vqM7y+HSF74LlOm7XOICHFS5xA3vARfHovlH7phHD2CMgJT63LGYOdfYmI6/Q3MVasfcfp7aTkuV0Jx47J4g/z7+Fr2ecwIW+C2+X0bcZAeqEzjTh2R3uwBSrWQdkKKF3hhPKy/znzxirIGur0sjMGQ+ZgyBi0Y1mPTon0GIVwrFj1Jgw72u0qALhx/g2MzB7Mu/NG0Tg9SILf63ZJ0p7XDznDnWnUCTuva6iA0pXONefKdbB1kXPXfcU6qN7kjJmdOXhHKKcVQloBpBY485Q857WPItJlCuFYsWYunPBXt6vgzfVv8vr613ny5Cf5cfEKHvpwHRdNGep2WbI3EjNh4MHO1F6wBao2OuFcsc55ZebmhU5I12xxTn23NDh3aaf2d4bwTCt0llPzITkHknMhOc9ZdukmQpFYoRCOBbUlTq9lwGRXyyiuL+bqD67mL1P+QnZiNr+e4eX8ez/mzEkDyEiKc7U2iRCv33leOWvIrrdprA4H8iao3gI1m53Q3vgJ1JWEp1Joqnbu5k7OdXrP2wM6F5KynX8MJGaE55nOtgnp6mVLn6IQjgVr33F6LX73xmIO2RC/ffe3nDLsFA4vcB6jGT8wg+mj8rjhtS+55tT9XatNelhCmjPljtr9di0NThi3hnJd8Y7l8jXQWOmcGm+ogIbwcijgBHH7cE7MdI4ZlwLxac57tONTnSkudcdyfAr4k/XIlsQMhXAsWDPXGWnJRY8ue5SqpiouPfDSndovP2E0x9zwNmcfPIgxBWkuVSdRyZ8IGQOdqTOshea6jsO5oQKaapzBaspXO73sphrnfc5NNc7UHF6GcFi3hnQy+JOcevyJbZbbtcUldbydLxF8ceBLAG+8s+yNd84aaEQz6SKFcCxYMxdOv8O1w6+vXs+tC27l3hn34m93jS8vLYH/mz6cq2cv5vEfHLrLlzuI7JEx4R5uCqQP2Ld9hELQUvfVcA40Qku986hfS73TS29pcJZri7/a1n4eaHLe4R1ogmDTjuN548EXD964nee++F2v8/rB4wePL7zsdT57w23b29sv+51Hy1qXPb7wZ3+77bzOaGvGE172tFn2tls2u2j36GxCD1EIR7vqzc5r8AoOdOXwIRviyvev5Lyx5zEqq+PTjxccMYTHP9nA7M+3cMr4gh6uUKQNj2dHD5j+3XMMa50b2IJNEGgOz1tDurGDtnYBHmxxTrsHW5yBVkItznJLg9O+fV14fev229sD7da17q9Nuw05UygINthu2Xbc3pE24WzxAk6gty5bEw5ta7DG47RZw/a35FqDxQMYrAXYsc55O3lr0DvtdvvyzpO1xlnc3kb4ODs+b/++xak5vGyNAdu6TXh/4doA4o88nfivfWdv/y+IGIVwtFv/IQw4yLW7TB9d9ih1LXVcdMBFu9wmzufhypPHcPlTX3D06DxS4vW/lfRixoRPT8dh/SFsSwvW04JtbsaGWrCE54Fmp62lZZfzUHMztLQ4bYEgNhiAYHDHciCIDbYuB3bR7iwTDGBbAh23ty6HQthQEEI2vBxyzh58ZdnZpm1bhzweMAbjMW2WnV608Rjn98oYjNezfRljnDNmhh2n841xotSz4zMGDGbnPMY67caEl+32cDYm1GZ/wfBuzI6MDq8zbXPbGDJGNRIfof819oV+Wka7DR87b9Rx49DVG7h1wa3cM+Me/J7d/yNg2qg8Jg3O5G8vL9NNWuI6GwwSamggVFe381RfT6ihAdvYRKgxPG9qxDY0OvNdtbdZbxsbCYWDlEDAOaDHg4mLw/j9u5n7d/rsabMenw/j82O8XozPC14fnvgESPZivD6Mz7e93ZmH2/0+jLeDdp8X4/O1a/eGw9Hp2W4Pzp2WPW1C1POVtp2WW8NUukQhHO02fAhHX9Hjh7XWctUHV3HemPMYnTW6U9+56pQxHH/jXE4ZX8BBRXo3ruwb29xMsKaGYFU1oeoqgtXVBKuqCVZXEaquJlhdQ6i2hlBd/fZwDda3Bq3TZhsawBg8yck7pqQkZ0pMxCQk4ElI2Gnuy8zEJCTiSYhvMw+vj0/AkxieJ8Q7Qdo2ZL16rEr2jUI4mjXXOS9/H9DBoArd7PlVz1PWULbb09Dt5aUm8JsT9+Pyp7/gxUuPJN6nH0x9nW1uJlBRSbCinEBZGcHyCoLlZQTKKwiWlxMoLydYVUmoqtoJ2+pqbEMDJiEBb1oa3vQ0PGnpeFNTdyynpeHLy8OTnLRzwCYn420TuiYxUT01iXoK4Wi2ab4z6H5Ceo8etrKxkhvm3cD1R13/lbuh9+Qbkwbw3MJN3PrmKn527MhuqlDcFqqro2VbMYHiYgLF2wgUFzuft20jUFpKsKyMQEUFoepqJxyzsvBmZeLLyt4+jxs6lKSDJuHNyMCTloY33QlbT3o6njgN/iJ9Q8yFsDHmZOB3wCjgU+Cn1trFHWx3CPBr4CAgNbztz6y1X/RguV2z4UMY1PPXg/85/59MHTCVg/IP2uvvGmP4y+njmHnLOxw3ph/7F/bsPyCk62xLCy3bttGycRMtm9pMxdsIhIM21NCALzsbX79++PLy8PXLw5+XR8Lo0fhyc/BmZePLzsKblYUn3s3bXkSiW0yFsDFmJvA08FNgDnA1MNcYc4C1dnO7zb8FfIwT2D7geuAtY8wIa215z1XdBRs+7vH3By8oXsAb69/gudOe2+d9DMpO4vITRvOTxxbwwo+nkBin09LRJlhdTfPatTSvWUPz+g07h+22bXhTU/EPGIC/sBB/YSEJBxxAav9jncDNy8OXne3c+CMiXRJrf4uuBp6y1t4KYIy5ANgC/CC8bjtr7U/bfjbG/BBYBZwG3NMDtXaNtbBpHhz/lx47ZEuohWs+uIbLJl1GZkJml/b17cmDeGNpMX99aSl/0N3SrrDNzTSvX0/TmjVO4K5dS/MaZx6sqSFu4EDiioqIGzSIhP33J/X445zQLSjEm5LsdvkifULMhLAxZgjOqeV/tLZZaxuNMW8BM2kXwh0oDc9j42WpVRudB/Gzeu4NRQ8veZi0uDROHX5ql/dljOGvXx/HCTfNZdroPKaPcv89yL2VtZbA5s00fvklTV+uoOnLL51p7Vp8mZnEDR1KXNFg4keMIO2444grKsJfWKierEgUiKW/hYPD89Xt2tcDh3bi+0eE5ws6czBjzFeuM4cN68z3u2zzAug/vseGjittKOWuL+7i3uPvxWMic8zc1Hj+esY4fvXfz/nfpVPITdW1wa6ygQBNq1bTuGgRjYsX0bhkKU0rVoDHQ/zIkcSPHEHSQZPI/NbZxI8YgTdd1+RFolkshXB+eF7Zrr0W2O25U2OMF7gW+MRaO7cbaou8LQuhYEKPHe6WBbcwo2jGLoem3FfHjOnHe6tKufTRBTx44WR8Xo1H21k2FKJ5zRoaFy2iYdFiJ3iXLsWbkUHC/mNJ3H9/co46iviRI/Hl5+txHJEYFEsh3Ho6uf2retKBrXv47r+BIcCUzh7MWju2o/ZwD3lMZ/ezzzYvgAnndPthAJaULWHOujnMPn12t+z/Nyfsx9l3fcCNc77kl8d3buCPvijU1ETjF19QP28+DfPnU79gASYujsT99ydh//3JvvgHJI4diy831+1SRSRCYimEN4bnRcC8Nu2D26z7CmPM33DulD62o0eZopK1sHkhnPiPPW/b5UNZrvv4Oi4edzFZCd0zylWcz8O/vj2Rk295l0mDMzl6dL9uOU6sCdbWUf/Jx9R/+ikN8+bTuGQJ/kEDSZo4idQTZtDvit/hHzBAPVyRXiyWQnh5eDoVeArAGJMMTAOu7OgLxphfAD8DzrTWvtszZUZA5XrnzSY9cFPWK2tfobyxnG+N/la3HqcgI5F/nj2BSx9dwNOzjmBITt+7+9Y2N9Pw+efUvf8BdR98QOPixcTvN5rkgw8m++IfkHTggXgzMtwuU0R6UMyEsLXWGmP+DNxrjHkHmAv8EagKtx0HPAqcY6192RjzI+A64FLgTWNM6x0qAWttnQu/hM7bshAKxnf7C8MbAg1cP+96fn/o7/d6ZKx9MWVELj+aNowL7/uEZ2YdQXqSO2+G6knN69ZR+9Zb1L73HvWfzsOfn0/yYYeRfdGFJB18MN609ldXRKQviZkQBrDWPmCM8eMM1vEX4H3gcGttpTEmBDQBLcaYAuBWnBdW/Ss8tXoLmN6jhe+tzQugf/fflHX/4vsZljGMqQOmdvuxWn1/ylBWFtcy65F53HfBZPy97EYtGwhQP38+tW+9Te2bbxIoKyPlyCNJO+FE+l9zDf78/D3vRET6jJgKYQBr7d3A3R20zwHavlE+dn+6b14IE7v3JdNlDWU8sPgBHjjhgW49TnvGGK497QDOu/sjrnp+MX86bf+Yv+YZqq+n9u23qZnzOrXvvIMvO5uUadPI/8PVJB14IMbf+3v8IrJvYi6E+4RtiyH/gG49xJ2f38kxg49heObwbj1OR+J8Hu44dxKn3/Yed81dzcVH9cyj15HUGrzVL79C7TvvkDB6NKnHHkvujy8hrqjI7fJEJEYohKNNfTk0VkLmkG47xIbqDcxeNZtnTn2m246xJ5nJcdx3wWS+cecHZCbF8c2DB7pWS2eFmpqoffNNql96eXvwps04nn6/uVynmUVknyiEo03JMuf1hd7u+6O5ZcEtfHPUN8lPdjc4inKSeeB7k/n2vz8kLdHHjP37u1pPR6y1NCxYSNWzz1L98svEDSkifeZMBa+IRIRCONqULIO87hvQYnHpYj7Y8gEvnP5Ctx1jb+zXP41/f+cgvnffJ6Qm+DlieI7bJQHQvHETVc8/R9Vzz2GbW0g/5RSKHnuM+KHdd4ZCRPoehXC0KV4Gud0TwtZabpx3IxcdcBHp8dEzpvBBRVnc9K0DmfXwfG4/ZyKHuxTENhCg5o03qHzscRoWLiT12GPp/4c/kDR5MqaHxvAWkb5FIRxtSpZB0UXdsusPNn/Aupp13Dr61m7Zf1dMH5XHP8+awA8fmse/vj2RqSN7bmjGlq1bqXziSSr/+1+8WVlknn02hTffrNf5iUi3UwhHm5Lu6QmHbIgb59/IJRMuId4bnW8zmj46j399eyKXPDKfm84+kOmju+/1h9Za6j/6iPKHHqL+/Q9IPe44Btx8Ewnjx8f8I1MiEjsUwtGkvhwaKrpluMrX179OU7CJk4aeFPF9R9LUkbncfu4kfvTQPP58xgGcNK5gz1/aC7a5mar//Y/y++4nVFND5rnnUnDttRouUkRcoRCOJiXLIXt4xO+MDtkQty28jVnjZ+H1eCO67+5wxPAc7vveZL5//6cUVzfxvSO7fjNUoKKCysefoOLhh/EXFpLzwx+SeszX9GJ7EXGVfgJFk5Kl3XIq+tV1rwJwXNFxEd93d5k4KJMnfngY373nY7ZWN3L5jNF4PHt/mrhlyxbK7r6HqmeeIXnKFApvvomkAw/shopFRPaebvmMJiXLIx7CwVCQOxbewY/G/wiPia0/7mG5KTw963DeW1nKJY/Op64p0OnvNm/YwJYrr2L1SSdjAy0MefYZBvzzRgWwiESV2Pqp3NsVL434M8KvrH0Fr8fLMYOPieh+e0peagJPXHwYAF+//X3Wl9Xvdvum1WvYfPlvWHPa6XgSExj6vxfpf/XVxA2M/hG5RKTvUQhHkwj3hIOhILd/djuzxs+KuV5wW8nxPm799kROGtef0257j3dXlH5lm+Z169j0i1+y9qyz8OXmMOyVl+n3m9/g79fPhYpFRDpH14SjRUMF1JdF9M7o/635Hwm+BI4edHTE9ukWYwyXHD2C/fqnccmj87nwiCHMmj6cUEkxpbfdTvWLL5J59lkMe/UVfJmZbpcrItIpCuFoUbwMckaANzKvvQuEAtz5+Z38fNLPe9Vzr1/brx/P/d8RXH7PXJLuuY3Dl71LxiknMfTFF/H3677nikVEukPsnqPsbUqWQe6oiO3uxdUvkuxPZtrAaRHbZzQI1deT9Pj9XP3k1QwwDVz2tZ+x+Bs/VACLSExSTzhalCyD3P0isqvWXvDlky/vNb1gGwpRPXs2xTfcSMLo0Qx+6EFGjRxJ4pcl/OLJz/jfoi1cddJY0pMicyZBRKQnqCccLSLYE569ajYZ8RlMKZwSkf25rX7ePNZ+8yzK/nM3/f/8JwbeeQcJI0cCzghbr112FAbDsTe+zauLt7pcrYhI56knHC2Kl0Fe13vCLaEW7vz8Tq449IqY7wU3b9xI8T+up/6TT8j98Y/JOPPrHY5wlZ7k5/pvjufN5cX89ukveHbhJq6YOYaCjEQXqhYR6Tz1hKNBBO+Mfn7l8+Qk5nBEwRERKMwdofp6im/8J2tOO524AYUMe/klMs8+a49DTE4flcerl02lID2R4/85l1vfXElTINhDVYuI7D2FcDTYPmZ0165ntgSdXvCsCbNishdsraVmzhxWnXQSTcuXM+Tpp8j7xS/wpqZ2eh+pCX6uOGkMT/3IGWnr+Bvn8tqSbVhru7FyEZF9o9PR0SBC14OfWfkM/ZP7c1j/wyJQVM9q3rCBrddeS/PKVeRf8XtSj57epf2N7JfKwxcdwkuLtvLHF5Zwx9ur+PWM0UwekhWhikVEuk494WhQugJyRnZpF83BZu76/K6Y6wWHmpoo+detrDnj6ySMGcPQF2Z3OYBbGWM48YD+zPnZUZw2oYBZD8/ngns/ZvHmqojsX0Skq9QTjgYVa2H0zC7t4ukVTzMwdSCT8ydHpqYeUPvOu2z94x+JGziQoiceJ35I119Z2JE4n4fzDivi65MGcO97aznnPx9x4MAMZk0fzsFF6hmLiHsUwtGgfA1k7nsANQWb+Pfn/+avU/8aE73gYGUl2/56HXXvvUe/3/2W1OOP75G6k+J8/N/04Zx/eBGPfrye/3t4PkXZyfxo+jCOGpG7T69KFBHpCoWw26x1esJZ+x7C//3yvwxJH8LB+QdHrq5uUv3Kq2y99o+kTJnK0Bdm401P7/EakuN9XDRlKOcdNpin52/imtlLMMB5hw3m65MGkJagAT9EpGcohN1WWww2BCn79rafxkAjd39xN/846h8RLiyyAiUlbP3jtTQuWkTBX/5KypHuP0IV7/PyrcmDOOuggcxdUcIDH6zj+le/5LQDCzj30MGMzk9zu0QR6eUUwm4rXwXZw2AfT8c+sfwJhmUMY2K/iREuLDKstVQ9+xzF111H2kknMXT283iSk90uaycej2HaqDymjcpjXVkdD324jm/d9SGFmYl8feIAThlfQHZKvNtlikgvpBB2W9lKJ4T3QX1LPXcvupubj745wkVFRsvmzWy56mpaNm5kwK3/ImnSJLdL2qPB2cn8buYYfnn8aN5cXsxT8zbyt5eXc8TwHM6YWMj0UXkkxnndLlNEegmFsNvKVjoDdeyDx5Y/xtjssYzPHR/horrGhkJUPPYYJf+8icyzzmLAv27BEx9bPck4n4fjx+Zz/Nh8yuuaeX7hJv79zmp+8eRnTB2RywkH5HP06DxSdf1YRLpAIey2slUw6sS9/lpdSx33LbqP24+5vRuK2nfNa9ey5YrfE6ytZdC995A4dqzbJXVZVnIc5x8xhPOPGMLWqkZeWbyVRz9ez6+f+pzDh+UwfXQe00bmMjArye1SRSTGKITdVrkeMgfv9dceXvowE/ImMDYnOkLOBgKU338/pXfcSfb3LiD7oosw/t7XS8xPT+C7hxfx3cOLKK1tYs6Sbbz9ZQl/e2kZuanxTB2Zy1Ejczl0aLZOW4vIHimE3Va9GdIK9+4rzdU8sOQB7j7u7m4qau80Ll/Olt9dgfF6KXr0EeKH79vp9ViTkxLP2ZMHcfbkQbQEQyzcUMnby0u4cc6XLNtaw7jCdCYPyWLykCwmDc7UqWsR+QqFsJtaGp23J6X236uvPbjkQSbnT2ZUVmTeP7yvQs3NlN1xJ+UPPkjuJf9H5rnnYrx9s/fn93o4uCiLg4uy+MXxo6ioa+aTteV8sracG1/7kqVbahiZn8LBRVlMGJjBuAEZFGUnxcTgKiLSfRTCbqrZAknZ4E/o9Feqmqp4eOnDPDDjgW4sbM8aPvuMLVdcgTc7hyFPP0XcwIGu1hNtMpPjOG5sPseNzQegtinA/HUVfLq2nKfnb+Lq5xcTDFnGDchg3IB0xg1IZ2xBOoUZiRq5S6QPUQi7qXoTpBXs1VfuW3wfRxYeyfBMd075hhoaKLnpZiqfeYa8n/+MjG98Q725TkiJ9zF1ZC5TR+YCzvPTGysa+GxjJZ9vrOLe99aydEs1wZBlZH4qo/qlMio/PPVL1XPKIr2UQthNe3k9uLi+mMeWPcajMx/txqJ2re7Dj9hy5ZXEDx3K0OeexZ+f70odvYExhoFZSQzMSuKkcc4/xKy1bKtuYtnWar7cVsMXm6r477yNrCiuJSXeR1F2EkU5yQzJTnbmOc48JV5/jUVilf72umkve8K3LbyNmUNnUpRe1H01dSBYXU3x3/9Ozetv0O+3vyVt5onq/XYDYwz56QnkpycwbVTe9vZAMMSmygbWlNaxtrSOtWX1fLKugrWldWyqbCArOY6BmYkUZiZRkJHAgIxECjISKcx05hoLWyR6KYTdVL250yG8qnIVr659ledPf76bi9pZ9Wuvse2aP5J02KEMffEFfJmZPXp8AZ/Xw+DsZAZnJ0O7e/GaAyE2VNSzsaKBTRUNbK5sYP76SmZ/voVNFQ1srW4kKc5LYUYieWkJ5KbEk5cWT25KPLmp8eSlOvPc1HhS4n36x5VID1MIu6lsFQw8pFOb/nP+PzlvzHnkJOZ0c1GO1hcuNCz6gv5/upaUqVN75Liyd+J8HoblpjAsN6XD9cGQpbimkU0VDRTXNFESnpZtreadFU2U1DZRXN1EaW0T8T4vuanxZCb5yUiKazOPIzN5R1tmUhwZ4XlSnFfBLdIFCmG3WAubPoWZ1+9x03nb5vFFyRdcN+W6HijLUvX00xT/7e+knXwyQ5+fjTclul64IJ3n9Rj6pyfSPz1xt9sFQ5aK+mZKapqoqGumor6FivpmKuud5XXldVRub3PmVQ0teI0hJcFHSrwzpSX4t39OTfCRkuAjNd5HaoJ/e1tSnI/EOC+Jfi+JcV6S4rwk+J253+vpod8ZkeigEHZLXSkEmiBj96NlhWyI6z+9nlkTZpHk795hEZtWrmTrH68lUFLCgNtvJ2nigd16PIkeXo8hJyWenL24CzsYstQ2BZypMUBNYws1TQFqGnd8rm0KUFrbzJrSemqbWqhpDFDfHKSxJUh9c5CGliANzUHqmwOELPg8ZntAtw1np81HvN9DvNdDnM+Z4sPzOK/3K23xPg9xXg/x/q+u93sNPo8HX5u53+PB6zX4PAa/14PHoF6+dDuFsFvKV0NmEXh2/y//51Y+R1OwiTNGnNFtpYTq6ii9/XYqHn+C7AsvJOt7F+CJi+u240nv4PUY0hP9pCd2/cYvay3NwRCNzSHqWwLhYP5qWDcFgjQHQjQFQjQHQ9uXqxtbaA60fg7utK4p3N4c/k5TIEggaGkJWoKhkLMcChEMOW1tbQ9rj3EC27tj2e/x4PU4bX6vwetx2jwe5/fGY5zJWabNssHjMXjDbZ7w+q9+Z0e7MQavB7ymddmE2502j3GWjTEY2P4PCGPA0HbZmXvCy+H/2nx/xzat+2pt85jWN6627qPN+p2239Heug07bEOZ4wAAEf5JREFU7WNHXdD2La5m++cd60ybNTu2NW22pYN11to2n1v/JzPhNkt4hjGQnZpAdqp7jwAqhN1SXwop/Xa7SVVTFf+c/09umHYDPk/k/6istdS8+hrb/vIXEsaOZcgzzxA3YO+G0BSJBGMM8T4v8T4v6XQu1K21hEKWUMASCoYIBS2hoCUY2LEcCjnLNhTePmixIUvIhudBi7VsXw6FQoRC0BIIEQiECAYtgWCIYCDkzIM2PIWXQ5ZQIEQg/P1gKPT/7d15kJzFecfx7zPzzrWHJJAUhDi04naMkBCUA4oTVFDmiABhYhwKUwFikyrbVYEikKIwVy6DXbicGCsQyiCgbCNcHBGHkQtiwALHxBwKMuEoJIyQgAhJCEl7zOzMdP7ont13R7OrY8W+O6Pfp+rd9327e97pnt6ZZ/q9BldxVMv++Wrb9su+vjBYBxx1Zfw6A8tuyHptXnVQcS68DuGP3zSDifH1Bmn1y7gR8oZPM+dwxILdMGWtQdqQvOEeM+S5hs/f3X0W+eP25auXztnNR4+egnBSilsh1zlikUUrFjFv+jyO22/P/w5v31tvsf4736X07rtMu/EGOufP3+PPIa3BVR3lfh+IKv3VIcsDaXXrlXIoV1emWisb0nzQjAfRkFbxwW0gmIagN1CmXAtonqWMdNpIpY1UOuXnURhlplN+dJXy+Wbml1OGpQhzG5jH87ZLN3+L0pyBpVJY1kjlLLZtBsoOjA4tbKs2qksNjgaJjWCJjxJrefHHxdbrHzt0G4Nla6NWSw3dfm17fqG2Plh+8IWtzQa3PZA1ZGXoiLZ+G/GytecZWG6wzYHitRH7dvUM7afx42sj/CH1rys7uL1kDzkoCCeluBVyE4bNfm3Dazy2+jGWLly6R5+2/NFHfPSDW9mybBmT/+oSDlz0Q1L5nb9tpoxPlf4qpWKZ/r4Kpb4Kpb4y5VKFcrFKf6nil0thuRhbLg1d7g955VIlpPlgCZCKjHSUIsqkSEcp0mEeZQaX05kUUZQi1SA9V4hIdw59bDqKBc20kY4tp9IpH0iHpMfzfX1qQVKkGSkIJ6W4ZdiRcKlS4trnr+XyuZcztW3qHnm6anc3G++5h02L72bCGWdw6M8fJ5q6Z7Ytu8c5R7lUpdhTptjTT7G3TKmnTKlYptRb8QG1WKa/txILsEMDba1MtexIRymyhTSZXJpMPiKTTZPJpYiyaaJsmkw2LOfS5DsiOrK57dIHlrNpomyKTC4sRykFOpFPgYJwUvqGD8K3/c9tTClM4bwjzhv101S7u/n4vvvYeNdiCrNm0fXTn5A7/PBRb1e8atX5ANpdptgbgmlPmWJPmVJ8vbc8kF7s6Q95ZaoVR7YQkWvzUzYfkS1EZHJpsoWIbC5Nrj2ic3KeTD7t8/M+yPq5T8vk06R1eY9I01EQTkpxK+yz/eVJr6x/hfvfvJ8HznpgVMcqKtu2sXnJEjbetZj8rKM56PbbKBxzzGhq3PKcc/T3Vejd1k/ftn56t5XC3K/3bSv55e5+ereGtJ5+Umkj35YZCKS5tgzZQkS+LSLbFjFxahu59ohcYTA/1+aDbbYQ6VeTRPZiTReEzews4Fv4G/i9CFzunHttmLInAN8BZgMrgWudc8+OVV1H1ODErA29G7jymSu5/oTrmd6xa7+uVFNas4ZNP/4xnzz8H7TNnbtXB99yf8UH0RAwe7vrg+r2gdY5yLdH5DuyFDoy5MNUaM+w7/SOwfWODPl2v5zJ6a5RIrJ7mioIm9kC4CHgcuAp4EbgV2Y2yzn3fl3ZucAvge8BXwO+ASwzs3nOuVfGtOKN1J2YVaqUuOrZqzi161ROn3n6Lm3KlUpsW76czQ8+RM8LLzBx4UK67r+f3CEz93StE1OtVOnrLg8EzR0F097ufsrFCrm2iHx7hkJnhnxHdiCgdu6bZ+rBnSHQDgbcXCHSsU8RGTNNFYTxQfdB59wiADO7BPgA+OuQF3cN8Kpz7rpQ9grgNOAy4OKxqe4IYiPhSrXC1cuvJhfluOL4K3bq4a5cpnfFCrY8sYwtjz9ONH1/Jp1zDtNvvon0hOHPuh4PqhV/MlI8iPZ1DwbSvu66INvtj6tGuTSF9thIdGBUmmXStLbt0nLtkY6Tisi41jRB2MxmAscDt9TSnHN9ZvYMsIBYEDazDHAOfrd1rawzs18AF45RlUcWzo7uLfdy7XPXsr5nPXd84Q4yqcY3KnDO0b92Lb0vv8y25c+xbflyon32oeOUkzn4nnvIH3nEmFZ/yJm9vf2Uaicd9dZOSvKBsxZQfZD1y8WeMulMajBotmcGRqT5jgydkwtDAmotP8qmx7SNIiKftqYJwkDtLKbVdelrgBPq0g4A0sOUnWJmeedc356v4i7o28zK3vVc8+iX6ZrYxR1fuIO2TBvVnh7KmzZRXr+e0jvvUFy9mtKq1fSuXInr76cwZzbt8+Yx5ZvfIDdz+N3Nzvk7CVXC3X6qZX8nIT8NLvcX/XWj/fGpNLgcz6ud0Vu7lKZaDWf2FvwJSLnYWb65QoZsIU3n5HzYBZwdDKodGTIKqCIiTRWEp4X55rr0bUD9j9yOVBZgEvDhSE9mZg1P9gIOHelxO2PVr5/i6RVXwYqtnMsFmKX42b2P4Gq3nkun/RRlsczRUDgWm3c+RL673OsO9/o6cOv8Y2DgFne1YFut3QPXCDdF8DdGSEepgZscpDP+OlB/PWm4TjSs5woRHZPCdaQhfeBSmjDP5HVmr4jIaDRTEN4Q5vUHPCeyfUAdqWw1lp+I/Y6aw1Hzf8/kPziK9sIELBORSqdJFQqkJ3Zi6WjILecGbt0WuyUdsH0ZG7yLUPxuRCIiMj41UxBeG+ZdwEux9BmxvJp1+DFlV136DOAD51x5R0/mnPtso/QwQv7DHVd3eB37TuHzF39tNJsQEZEW0EzDpDfDtLCWYGbtwHzgwXhB51wv8GRd2RRwRn1ZERGRpDRNEHb+4Oe3ga+Y2aVmdiSwGPgEWGxmp5rZRjOrXWT7HWCemV1nZocB/wpMAW5Nov4iIiL1miYIAzjn7sVfE/w3wPNAHpjnnNuMP9ZbBPpD2V8CXwTOBn4LfAY4yTn3dgJVFxER2U4zHRMGwDl3J3Bng/SngOl1aY8Cj45R1URERHZJU42ERUREWomCsIiISEIUhEVERBKiICwiIpIQBWEREZGEKAiLiIgkREFYREQkIQrCIiIiCbHaT+HJzjGzLblcrvPQQ0f9i4YiItICVq1aRbFY3Oqcq//lvh1SEN5FZvYh0Aa8N4rN1CL4qtHXaNzbm9oKe1d71dbWpLbuuoOAHufctB2WrKMgnIDwc4jD/lxiK9mb2gp7V3vV1takto4tHRMWERFJiIKwiIhIQhSERUREEqIgLCIikhAFYRERkYTo7GgREZGEaCQsIiKSEAVhERGRhCgIi4iIJERBWEREJCEKwiIiIglREBYREUmIgrCIiEhCFIQTYGZnmdlvzOxjM3vSzJry10rM7LNmttTMnJldVJcXmdktZvaOma0xs1vNLFtX5ggzWxZeh/82sy+NbQt2jpmdHur5gZl9ZGYPm9mMWH6Hmd1pZu+b2VtmdqOZWd02TjCzZ81ss5ktN7OTxr4lO2ZmF5rZc2a2wczWm9kSM9s/lt8y/RpnZmeE/+PFsbSW6VcAM0uZWSm0Mz6dFvJbrm/NbLqZ3WxmL5tZr5m1h/Tx01bnnKYxnIAFQD/wTeBI4D5gIzA96brtYjvmAH3AA4ADLqrLXwKsBj4HnASsA5bE8g8ENgA/Ag4H/g6oAH+WdNsatPU+4Ov43x79HPAy8BaQAQz4L+AFYBZwNrAVuDn2+LlAD/CPoa3fB3qBY5NuW4O2XgtcBHQB84E1wPJW7NdYnSfifx98E7A4pLVUv4b6HhzeqzNDm2tT1Ip9C/w58DHwC+B8oGs8/h8n/kLtbRPw27rOzod/lBuTrtsutqMAHAHMoC4Ihw8tB5weSzsfqAKHhPVbgLW1D4CQtgx4Jum27UTbTw7tOxk4MywfFcu/Onxgd4b1B4DfxPIN+F/g7qTbshNtvTK0b59W7VfgTuDnwNMMBuGW61f8l6rNw+S1VN8C8/CDnRvGe1u1O3oMmdlM4Hjg4Vqac64PeAY/Qm4azrle59xbw2R/Cf9h9VQs7Qn8h9QZYf084FHnXLmuzElm1rGn67uHbQjzTnw73nDOvRHLfwLoAP7UzDLAOQztc4f/dt4MfT4Bv8ejhxbsVzM7HbgA+Nu6rFbs15nA28PktVrffhf/BenvG+SNq7YqCI+t2nHE1XXpa/C7P1rFDOC9+D+wc+4TYAtwoJlFwAE0fh0IeePZH+O/Sa/At3W4dhyIb0t6mDJTzCz/KdZzt4XjhwuAy4CbnHNFWqxfzWwCcAdwjXPu9brsVuzXQ4Cjw3kNr4djop0hr2X61swOwL9Hl5rZj8Lx/BVmdnVox7hqq4Lw2JoW5pvr0rfhd/e1imls30YYbOcU/AdYo9cBxvFrEb4Ffwt4wDn3Lo3bGm/HSH0OMOnTqOdomNki/LHNx/AjvW+HrFbr1+/hP2j/pUFey/Urfrf7bPxo73bgYuApMyvQWn07O8wvB36NH/neDfwD8M+Ms7ZGe3JjskO13ZgT6tInAh+OcV0+TRto/G2x1s5N+JFko9cBxulrEXZBPgiU8W9w8G0dqR0j9Xk1lj+eXA/8EDgWuBF41sxOoYX61cxOBb4MzA67keu1XL86534fW33RzN7Gf9E6hxbqWwbr+HXn3KNh+VUzOwJ/QuwjjKO2aiQ8ttaGeVdd+oxYXitYi9+tk64lmNlkoB1Y65wrAetp/DpUgffHqJ47zcxSwL3AccBpzrlaHdfSuB21vHX4N3SjMh/UHXMaF5xzG51zrzvnfgp8EX+Sy/m0Vr9eha/3SjPbamZbgT8BLgzLJVqsXxv4VZjvT2v17bth/l5d+u/w7elmHLVVQXhsvRmmhbWEcN3afPwIq1Usxe+Oi18zeSb+bMXHYmXODMGtZgHwWHgTjDc/wF+mssA592YsfSn+ONshsbQzgY/wl/b0Ak8ytM9T+F2CzdDntV1yWVqrXy/CXyI4Jza9iB8lzQEW09r9Cv4kUYBXaK2+/R3wCXBKXfrR+FHsXYyntiZ9KvneNgF/ib/e7FL8h8DP8N9CJyVdt91sz3aXKIX0/8R/4Tg+/LN/CCyK5X8Gf4zl34DDgGuAIvD5pNvUoI03hbqdy9DrKwv4a4XfAJ7Dv8nPxn/Tvir2+JPxu7CvC229FR/cDku6bXXtjPDXCf8RfnR0In609D6wX6v1a4P2xy9Rapl+revb40LfLsSfaPRIrEzL9C1wBT4QXwAcFD53+4BLx1tbE3+x9sYJ+CqwEn8c5hHg4KTrNIq2DBeEO/AnQ/xf+Gf/JyBVV+ZEYHl4szwHnJJ0exq078TQvkbT4lBmP+Ah/E1XXgUua7Cds/DXiH+MvzRidtJta1DHqcBPgHfwJ2a9E/pwZqv16zDtHwjCrdSvsb59CP+Fvyd8/lwDZFu1b4FLgJfwlyO9BFw4Httq4clERERkjOmYsIiISEIUhEVERBKiICwiIpIQBWEREZGEKAiLiIgkREFYREQkIQrCIiIiCVEQFhERSYiCsIiISEIUhEVERBKiICwiwzKzG8zMjTBNTrqOIs0sSroCItIUbgOebZC+Nb5iZscAK51uSi+yUxSERWRnvOCcu3+kAmb2PHCAc65rbKok0vy0O1pERs3M2vC/Q/xS0nURaSYKwiIyKma2BP+D92ng3HCs+P2EqyXSFLQ7WkRG69+BPuAi4AbgNWBjojUSaRIKwiIyKs65p83sK2H1dufc+kQrJNJEtDtaRPaEucA6BWCRXaMgLCKjYmY54GjglaTrItJsFIRFZLRmARkUhEV2mYKwiIzWMWH+WqK1EGlCCsIiMlpdYb42yUqINCMFYREZrdotKi8zs79ItCYiTUZBWERG63ZgOXAmcGXCdRFpKqb7rIuIiCRDI2EREZGEKAiLiIgkREFYREQkIQrCIiIiCVEQFhERSYiCsIiISEIUhEVERBKiICwiIpIQBWEREZGEKAiLiIgkREFYREQkIQrCIiIiCVEQFhERSYiCsIiISEIUhEVERBKiICwiIpIQBWEREZGEKAiLiIgk5P8B+1XgHY89dPcAAAAASUVORK5CYII=\n",
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\n",
       "text/plain": [
-       "<Figure size 487.5x412.5 with 1 Axes>"
+       "<Figure size 650x550 with 1 Axes>"
       ]
      },
      "metadata": {
@@ -367,7 +370,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -381,7 +384,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.6"
+   "version": "3.9.7"
   }
  },
  "nbformat": 4,
diff --git a/pylcp/fields.py b/pylcp/fields.py
index 62b1ab3..164135d 100644
--- a/pylcp/fields.py
+++ b/pylcp/fields.py
@@ -42,8 +42,32 @@ def return_constant_val_t(t, val):
     else:
         return val
 
-def promote_to_lambda(val, var_name=None, type='Rt'):
-    if type is 'Rt':
+def promote_to_lambda(val, var_name='', type='Rt'):
+    """
+    Promotes a constant or callable to a lambda function with proper arguments.
+
+    Parameters
+    ----------
+        val : array_like or callable
+            The value to promote.  Can either be a function, array_like
+            (vector), or a scalar (constant).
+        var_name : str, optional
+            Name of the variable attempting to be promoted.  Useful for error
+            messages. Default: empty string.
+        type : str, optional
+            The arguments of the lambda function we are creating.  If `Rt`,
+            the lambda function returned has ``(R, t)`` as its arguments.  If
+            `t`, it has only `t` as its arguments.  Default: `Rt`.
+
+
+    Returns
+    -------
+        func : callable
+            lambda function created by this function
+        sig : string
+            Either `(R,t)` or `(t)`
+    """
+    if type == 'Rt':
         if not callable(val):
             if isinstance(val, list) or isinstance(val, np.ndarray):
                 func = lambda R=np.array([0., 0., 0.]), t=0.: return_constant_vector(R, t, val)
@@ -58,12 +82,15 @@ def promote_to_lambda(val, var_name=None, type='Rt'):
             elif ('(R, t)' in sig or '(r, t)' in sig or '(x, t)' in sig):
                 func = lambda R=np.array([0., 0., 0.]), t=0.: val(R, t)
                 sig = '(R, t)'
+            elif '(t)' in sig:
+                func = lambda R=np.array([0., 0., 0.]), t=0.: val(t)
+                sig = '(R, t)'
             else:
                 raise TypeError('Signature [%s] of function %s not'+
                                 'understood.'% (sig, var_name))
 
         return func, sig
-    elif type is 't':
+    elif type == 't':
         if not callable(val):
             func = lambda t=0.: return_constant_val_t(t, val)
             sig = '()'
diff --git a/pylcp/gratings.py b/pylcp/gratings.py
index 4902d91..f56f5b2 100644
--- a/pylcp/gratings.py
+++ b/pylcp/gratings.py
@@ -63,7 +63,7 @@ def __init__(self, delta=-1., s=1., nr=3, thd=np.pi/4,
                  pol=np.array([-1/np.sqrt(2), 1j/np.sqrt(2), 0]),
                  reflected_pol=np.array([np.pi, 0]),
                  reflected_pol_basis='poincare',
-                 eta=None, grating_angle=0):
+                 eta=None, grating_angle=0, **kwargs):
         """
         Creates beams that would be made from a grating.
         Parameters:
@@ -104,7 +104,7 @@ def __init__(self, delta=-1., s=1., nr=3, thd=np.pi/4,
 
         self.add_laser(infinitePlaneWaveBeam(kvec=np.array([0., 0., 1.]),
                                              pol=pol, s=s, delta=delta,
-                                             pol_coord='cartesian'))
+                                             pol_coord='cartesian', **kwargs))
 
         # Store the input polarization as a Carterian coordiante:
         self.input_pol = self.beam_vector[0].cartesian_pol()
@@ -119,7 +119,8 @@ def __init__(self, delta=-1., s=1., nr=3, thd=np.pi/4,
                                                  pol=pol_refs[:, ii],
                                                  s=self.eta*s/np.cos(self.thd),
                                                  delta=delta,
-                                                 pol_coord='cartesian'))
+                                                 pol_coord='cartesian',
+                                                 **kwargs))
 
     def _calculate_reflected_kvecs_and_pol(self, reflected_pol,
                                            reflected_pol_basis):
@@ -255,7 +256,8 @@ def polarization_ellipse(self, R=np.array([0., 0., 0.]), t=0):
 class inputGaussianBeam(clippedGaussianBeam):
     def __init__(self, kvec=np.array([0, 0, 1]), s=1., delta=-1.,
                  pol=np.array([-1/np.sqrt(2), 1j/np.sqrt(2), 0]),
-                 pol_coord='cartesian', wb=1., rs=2., nr=3, center_hole=0.0, zgrating=1.0, grating_angle=0, **kwargs):
+                 pol_coord='cartesian', wb=1., rs=2., nr=3, center_hole=0.0,
+                 zgrating=1.0, grating_angle=0, **kwargs):
 
         if not np.allclose(kvec[:2], 0.):
             raise ValueError('inputGaussianBeam must be aligned with z axis')
@@ -434,7 +436,10 @@ def __init__(self, delta=-1., s=1., nr=3, thd=np.pi/4,
                  center_hole=0.0,
                  outer_radius=10.0,
                  zgrating=1.0,
-                 grating_angle=0):
+                 grating_angle=0,
+                 input_phase=0.0,
+                 diff_phases=None,
+                 **kwargs):
         """
         Creates beams that would be made from a grating.
         Parameters:
@@ -467,7 +472,10 @@ def __init__(self, delta=-1., s=1., nr=3, thd=np.pi/4,
             center_hole: inscribed radius of center hole.
             outer_radius: outer radius of the diffraction gratings.
             zgrating: z position of the diffraction grating chip.
-            grating_angle: overall azimuthal rotation of the grating
+            grating_angle: overall azimuthal rotation of the grating.
+            input_phase: Phase of input beam.
+            diff_phase: List or numpy array containing phases of diffracted
+            beams.
         """
         # I would like use to do super().super().__init__(), but that does not work.
         # Nonetheless, these are the only two things that need to be done
@@ -484,12 +492,17 @@ def __init__(self, delta=-1., s=1., nr=3, thd=np.pi/4,
         else:
             self.eta = eta
 
+        if diff_phases is None:
+            diff_phases = np.zeros(nr)
+
         self.add_laser(inputGaussianBeam(kvec=np.array([0., 0., 1.]),
                                          pol=pol, s=s, delta=delta,
                                          pol_coord='cartesian', wb=wb, rs=rs,
                                          nr=self.nr, center_hole=center_hole,
                                          zgrating=zgrating,
-                                         grating_angle=self.grating_angle))
+                                         grating_angle=self.grating_angle,
+                                         phase=input_phase,
+                                         **kwargs))
 
         # Store the input polarization as a Carterian coordiante:
         self.input_pol = self.beam_vector[0].cartesian_pol()
@@ -511,7 +524,9 @@ def __init__(self, delta=-1., s=1., nr=3, thd=np.pi/4,
                                                  center_hole=center_hole,
                                                  outer_radius=outer_radius,
                                                  zgrating=zgrating,
-                                                 grating_angle=self.grating_angle))
+                                                 grating_angle=self.grating_angle,
+                                                 phase=diff_phases[ii],
+                                                 **kwargs))
 
         if eta0 is not None:
             raise NotImplementedError("Zeroth-order reflected beam has not been implemented yet.")
diff --git a/pylcp/hamiltonian.py b/pylcp/hamiltonian.py
index f21e028..c88a066 100644
--- a/pylcp/hamiltonian.py
+++ b/pylcp/hamiltonian.py
@@ -168,12 +168,12 @@ def __search_elem_label(self, label):
         return ind
 
     def __make_elem_label(self, type, state_label):
-        if type is 'H_0' or type is 'mu_q':
+        if type == 'H_0' or type == 'mu_q':
             if not isinstance(state_label, str):
                 raise TypeError('For type %s, state label %s must be a' +
                                 ' string.' % (type,state_label))
             return '<%s|%s|%s>' % (state_label, type, state_label)
-        elif type is 'd_q':
+        elif type == 'd_q':
             if not isinstance(state_label, list):
                 raise TypeError('For type %s, state label %s must be a' +
                                 ' list of two strings.' % (type, state_label))
diff --git a/pylcp/integration_tools.py b/pylcp/integration_tools.py
index 031eac3..81f6d45 100644
--- a/pylcp/integration_tools.py
+++ b/pylcp/integration_tools.py
@@ -1,6 +1,7 @@
 from __future__ import division, print_function, absolute_import
 import inspect
 import numpy as np
+from inspect import signature
 from scipy.integrate._ivp.bdf import BDF
 from scipy.integrate._ivp.radau import Radau
 from scipy.integrate._ivp.rk import RK23, RK45
@@ -34,11 +35,16 @@ class RandomOdeResult(OptimizeResult):
 class parallelIntegrator(object):
     """
     parallelIntegrator: a class to integrate a function as it is being called
-    
+
     Parameters:
     ----------
     func : callable
-        The function that is to be integrated
+        The function that is to be integrated.  It can have the form func(t) or
+        func(t,y).
+
+    y0 : float or array, optional
+        The initial value of y.  Default value is 0.
+
     method : string, optional
         Integration method to use:
             * 'RK45' (default): Explicit Runge-Kutta method of order 5(4) [1]_.
@@ -72,9 +78,9 @@ class parallelIntegrator(object):
               from ODEPACK.
     tmax : float, optional
         Maximum magnitude of the time.  By default, 1e9.
-    kwargs : 
+    kwargs :
         Options passed to a chosen OdeSolver.
-        
+
     Attributes
     ----------
     t0 : initial time of the integrator
@@ -82,8 +88,14 @@ class parallelIntegrator(object):
     direction : direction of the integrator
     tmax : maximium value of integrator
     """
-    def __init__(self, func, method='RK45', tmax=1e9, **kwargs):
-        self.func = func
+    def __init__(self, func, y0=[0.], method='RK45', tmax=1e9, **kwargs):
+        if '(t, y' in str(signature(func)):
+            self.func = func
+        elif '(t' in str(signature(func)):
+            self.func = lambda t, y: func(t)
+        else:
+            raise ValueError('signature %s for func not recognized'%str(signature(func)))
+
         self.t0 = None
         self.tlast = None
         self.direction = +1
@@ -102,65 +114,83 @@ def __init__(self, func, method='RK45', tmax=1e9, **kwargs):
         elif method == 'LSODA':
             self.intobj = LSODA
         else:
-            raise ValueError('Method %s not recognized'%self.method) 
-            
+            raise ValueError('Method %s not recognized'%self.method)
+
+        self.y0 = np.array(y0)
         self.extra_kwargs = kwargs
 
     def __call__(self, t):
         """
         __call: return value at time t:
-        
+
         Parameters:
         -----------
-        t : float
+        t : float or array_like
             time at which to evaluate function
-        
+
         Returns:
         --------
-        y : float
+        y : float or array_like
             value of the function at time t.
         """
+        if isinstance(t, np.ndarray):
+            self.__step(np.amin(t)) # start the intergrator
+            self.__step(np.amax(t)) # step the integrator through to max value
+
+            # Rebuild the solution:
+            sol = OdeSolution(self.ts, self.interpolants)
+
+            return sol(t) # return the full array
+        else:
+            self.__step(t) # step integrator
+
+            if t==self.t0:
+                return self.y0
+            else:
+                # Rebuild the solution:
+                sol = OdeSolution(self.ts, self.interpolants)
+
+                return sol(t)
+
+    def __step(self, t):
         # Is this the first call, or did we return to the initial time?
         if self.t0 is None or t==self.t0:
             self.t0 = t
             self.tlast = None
             self.interpolants = []
             self.ts = [t]
-            
-            return 0.
+
+            # Return the initial value:
+            return self.y0
+
         # Second call, we will now establish a direction and create the solver:
-        elif self.tlast == None: 
+        elif self.tlast == None:
             if t>self.t0:
                 self.direction = +1
             elif t<self.t0:
                 self.direction = -1
-            
-            self.integrator=self.intobj(lambda t, y: self.func(t), self.t0, [0.],
+
+            self.integrator=self.intobj(self.func, self.t0, self.y0,
                                         self.direction*self.tmax, **self.extra_kwargs)
-        # Did we go to a value smaller than our initial direction?
+
+        # Did we go to a value smaller than our initial value, given the
+        # direction?
         elif (t<self.t0 and self.direction==+1) or (t>self.t0 and self.direction==-1):
             # Reset the integrator.
             self.t0=None
             self.tlast=None
+            # Cute way to reset the integrator to a new starting t:
             return self(t)
-        
+
         # If we made it here, we did not reset yet:
         self.tlast = t
- 
-        if t == self.t0:
-            return 0.
-        else:
-            while self.integrator.t<t:
-                self.integrator.step()
-                sol = self.integrator.dense_output()
-                self.interpolants.append(sol)
-                self.ts.append(self.integrator.t)
-
-            # Rebuild the solution:
-            sol = OdeSolution(self.ts, self.interpolants)
-
-            return sol(t)
 
+        # Now integrator up to t:
+        while self.integrator.t<t:
+            self.integrator.step()
+            sol = self.integrator.dense_output()
+            self.interpolants.append(sol)
+            self.ts.append(self.integrator.t)
 
 def solve_ivp_random(fun, random_func, t_span, y0,  method='RK45', t_eval=None,
                      dense_output=False, events=None, vectorized=False,
@@ -519,7 +549,7 @@ def solve_ivp_random(fun, random_func, t_span, y0,  method='RK45', t_eval=None,
 
     max_step_initial = options.pop('initial_max_step', np.inf)
     max_step_global = options.pop('max_step', np.inf)
-    
+
     solver = method(fun, t0, y0, tf, vectorized=vectorized,
                     max_step=max_step_initial, **options)
 
diff --git a/pylcp/obe.py b/pylcp/obe.py
index 8f8a57e..9b63ea1 100644
--- a/pylcp/obe.py
+++ b/pylcp/obe.py
@@ -1072,10 +1072,13 @@ def find_equilibrium_force(self, deltat=500, itermax=100, Npts=5001,
         ii : int
             Number of iterations needed to converge.
         """
-        if initial_rho is 'rateeq':
+        if initial_rho == 'rateeq':
             self.set_initial_rho_from_rateeq()
-        elif initial_rho is 'equally':
+        elif initial_rho == 'equally':
             self.set_initial_rho_equally()
+        elif initial_rho == 'frompops':
+            Npop = kwargs.pop('init_pop', None)
+            self.set_initial_rho_from_populations(Npop)
         else:
             raise ValueError('Argument initial_rho=%s not understood'%initial_rho)
 
diff --git a/pylcp/rateeq.py b/pylcp/rateeq.py
index 31fa863..84556a6 100644
--- a/pylcp/rateeq.py
+++ b/pylcp/rateeq.py
@@ -485,6 +485,12 @@ def set_initial_pop(self, N0):
             :math:`n` elements, where :math:`n` is the total number of states
             in the system.
         """
+        if len(N0) != self.hamiltonian.n:
+            raise ValueError('Npop has only %d entries for %d states.' %
+                             (len(N0), self.hamiltonian.n))
+        if np.any(np.isnan(N0)) or np.any(np.isinf(N0)):
+            raise ValueError('Npop has NaNs or Infs!')
+
         self.N0 = N0
 
     def set_initial_pop_from_equilibrium(self):
@@ -501,7 +507,7 @@ def evolve_populations(self, t_span, **kwargs):
 
         This function integrates the rate equations to determine how the
         populations evolve in time.  Any initial velocity is kept constant.
-        It is analogous to obe.evolve_densityv().
+        It is analogous to obe.evolve_density().
 
         Parameters
         ----------
diff --git a/setup.py b/setup.py
index 8bc61dc..06a501a 100644
--- a/setup.py
+++ b/setup.py
@@ -11,7 +11,8 @@
     install_requires=["docutils>=0.3",
                       "numpy>=1.18",
                       "numba>=0.48",
-                      "scipy>=1.4.1"],
+                      "scipy>=1.4.1",
+                      "sympy>=1.6"],
     python_requires=">=3.6, <4",
     package_data={
         # If any package contains *.txt or *.rst files, include them:


Test patch:
diff --git a/tests/parallel_integrator.ipynb b/tests/parallel_integrator.ipynb
new file mode 100644
index 0000000..0701d64
--- /dev/null
+++ b/tests/parallel_integrator.ipynb
@@ -0,0 +1,430 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "d8cf9c99-685e-411f-9b67-2143d311e258",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from pylcp.integration_tools import parallelIntegrator"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "b041bda3-cf77-4dcd-a372-260ed65864e8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from inspect import signature\n",
+    "from scipy.integrate._ivp.bdf import BDF\n",
+    "from scipy.integrate._ivp.radau import Radau\n",
+    "from scipy.integrate._ivp.rk import RK23, RK45\n",
+    "from scipy.integrate._ivp.lsoda import LSODA\n",
+    "from scipy.optimize import OptimizeResult\n",
+    "from scipy.integrate._ivp.common import EPS, OdeSolution\n",
+    "from scipy.integrate._ivp.base import OdeSolver\n",
+    "from scipy.integrate._ivp.ivp import (prepare_events, solve_event_equation,\n",
+    "                                      handle_events, find_active_events)\n",
+    "\n",
+    "METHODS = {'RK23': RK23,\n",
+    "           'RK45': RK45,\n",
+    "           'Radau': Radau,\n",
+    "           'BDF': BDF,\n",
+    "           'LSODA': LSODA}\n",
+    "\n",
+    "\n",
+    "MESSAGES = {0: \"The solver successfully reached the end of the integration interval.\",\n",
+    "            1: \"A termination event occurred.\"}\n",
+    "\n",
+    "class parallelIntegrator(object):\n",
+    "    \"\"\"\n",
+    "    parallelIntegrator: a class to integrate a function as it is being called\n",
+    "\n",
+    "    Parameters:\n",
+    "    ----------\n",
+    "    func : callable\n",
+    "        The function that is to be integrated.  It can have the form func(t) or \n",
+    "        func(t,y).\n",
+    "        \n",
+    "    y0 : float or array, optional\n",
+    "        The initial value of y.  Default value is 0.\n",
+    "        \n",
+    "    method : string, optional\n",
+    "        Integration method to use:\n",
+    "            * 'RK45' (default): Explicit Runge-Kutta method of order 5(4) [1]_.\n",
+    "              The error is controlled assuming accuracy of the fourth-order\n",
+    "              method, but steps are taken using the fifth-order accurate\n",
+    "              formula (local extrapolation is done). A quartic interpolation\n",
+    "              polynomial is used for the dense output [2]_. Can be applied in\n",
+    "              the complex domain.\n",
+    "            * 'RK23': Explicit Runge-Kutta method of order 3(2) [3]_. The error\n",
+    "              is controlled assuming accuracy of the second-order method, but\n",
+    "              steps are taken using the third-order accurate formula (local\n",
+    "              extrapolation is done). A cubic Hermite polynomial is used for the\n",
+    "              dense output. Can be applied in the complex domain.\n",
+    "            * 'DOP853': Explicit Runge-Kutta method of order 8 [13]_.\n",
+    "              Python implementation of the \"DOP853\" algorithm originally\n",
+    "              written in Fortran [14]_. A 7-th order interpolation polynomial\n",
+    "              accurate to 7-th order is used for the dense output.\n",
+    "              Can be applied in the complex domain.\n",
+    "            * 'Radau': Implicit Runge-Kutta method of the Radau IIA family of\n",
+    "              order 5 [4]_. The error is controlled with a third-order accurate\n",
+    "              embedded formula. A cubic polynomial which satisfies the\n",
+    "              collocation conditions is used for the dense output.\n",
+    "            * 'BDF': Implicit multi-step variable-order (1 to 5) method based\n",
+    "              on a backward differentiation formula for the derivative\n",
+    "              approximation [5]_. The implementation follows the one described\n",
+    "              in [6]_. A quasi-constant step scheme is used and accuracy is\n",
+    "              enhanced using the NDF modification. Can be applied in the\n",
+    "              complex domain.\n",
+    "            * 'LSODA': Adams/BDF method with automatic stiffness detection and\n",
+    "              switching [7]_, [8]_. This is a wrapper of the Fortran solver\n",
+    "              from ODEPACK.\n",
+    "    tmax : float, optional\n",
+    "        Maximum magnitude of the time.  By default, 1e9.\n",
+    "    kwargs :\n",
+    "        Options passed to a chosen OdeSolver.\n",
+    "\n",
+    "    Attributes\n",
+    "    ----------\n",
+    "    t0 : initial time of the integrator\n",
+    "    tlast : last time evaluated\n",
+    "    direction : direction of the integrator\n",
+    "    tmax : maximium value of integrator\n",
+    "    \"\"\"\n",
+    "    def __init__(self, func, y0=[0.], method='RK45', tmax=1e9, **kwargs):\n",
+    "        if '(t, y' in str(signature(func)):\n",
+    "            self.func = func\n",
+    "        elif '(t' in str(signature(func)):\n",
+    "            self.func = lambda t, y: func(t)\n",
+    "        else:\n",
+    "            raise ValueError('signature %s for func not recognized'%str(signature(func)))\n",
+    "\n",
+    "        self.t0 = None\n",
+    "        self.tlast = None\n",
+    "        self.direction = +1\n",
+    "        self.tmax = tmax\n",
+    "        # Now we can actually create the integrator:\n",
+    "        if method == 'RK45':\n",
+    "            self.intobj = RK45\n",
+    "        elif method == 'RK23':\n",
+    "            self.intobj = RK23\n",
+    "        elif method == 'DOP853':\n",
+    "            self.intobj = DOP853\n",
+    "        elif method == 'Radau':\n",
+    "            self.intobj = Radau\n",
+    "        elif method == 'BDF':\n",
+    "            self.intobj = BDF\n",
+    "        elif method == 'LSODA':\n",
+    "            self.intobj = LSODA\n",
+    "        else:\n",
+    "            raise ValueError('Method %s not recognized'%self.method)\n",
+    "\n",
+    "        self.y0 = y0\n",
+    "        self.extra_kwargs = kwargs\n",
+    "\n",
+    "    def __call__(self, t):\n",
+    "        \"\"\"\n",
+    "        __call: return value at time t:\n",
+    "\n",
+    "        Parameters:\n",
+    "        -----------\n",
+    "        t : float or array_like\n",
+    "            time at which to evaluate function\n",
+    "\n",
+    "        Returns:\n",
+    "        --------\n",
+    "        y : float or array_like\n",
+    "            value of the function at time t.\n",
+    "        \"\"\"\n",
+    "        if isinstance(t, np.ndarray):\n",
+    "            self.__step(np.amin(t)) # start the intergrator\n",
+    "            self.__step(np.amax(t)) # step the integrator through to max value\n",
+    "            \n",
+    "            # Rebuild the solution:\n",
+    "            sol = OdeSolution(self.ts, self.interpolants)\n",
+    "            \n",
+    "            return sol(t) # return the full array\n",
+    "        else:\n",
+    "            self.__step(t) # step integrator\n",
+    "            \n",
+    "            if t==self.t0:\n",
+    "                return self.y0\n",
+    "            else:\n",
+    "                # Rebuild the solution:\n",
+    "                sol = OdeSolution(self.ts, self.interpolants)\n",
+    "\n",
+    "                return sol(t)\n",
+    "        \n",
+    "    def __step(self, t):\n",
+    "        # Is this the first call, or did we return to the initial time?\n",
+    "        if self.t0 is None or t==self.t0:\n",
+    "            self.t0 = t\n",
+    "            self.tlast = None\n",
+    "            self.interpolants = []\n",
+    "            self.ts = [t]\n",
+    "            \n",
+    "            # Return the initial value:\n",
+    "            return self.y0\n",
+    "        \n",
+    "        # Second call, we will now establish a direction and create the solver:\n",
+    "        elif self.tlast == None:\n",
+    "            if t>self.t0:\n",
+    "                self.direction = +1\n",
+    "            elif t<self.t0:\n",
+    "                self.direction = -1\n",
+    "\n",
+    "            self.integrator=self.intobj(self.func, self.t0, self.y0,\n",
+    "                                        self.direction*self.tmax, **self.extra_kwargs)\n",
+    "        \n",
+    "        # Did we go to a value smaller than our initial value, given the\n",
+    "        # direction?\n",
+    "        elif (t<self.t0 and self.direction==+1) or (t>self.t0 and self.direction==-1):\n",
+    "            # Reset the integrator.\n",
+    "            self.t0=None\n",
+    "            self.tlast=None\n",
+    "            # Cute way to reset the integrator to a new starting t:\n",
+    "            return self(t) \n",
+    "\n",
+    "        # If we made it here, we did not reset yet:\n",
+    "        self.tlast = t\n",
+    "\n",
+    "        # Now integrator up to t:\n",
+    "        while self.integrator.t<t:\n",
+    "            self.integrator.step()\n",
+    "            sol = self.integrator.dense_output()\n",
+    "            self.interpolants.append(sol)\n",
+    "            self.ts.append(self.integrator.t)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "743e007c-12da-407e-a147-0374bea0b664",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# def func_to_integrate(t):\n",
+    "#     dydt = -0.01*t\n",
+    "    \n",
+    "#     return dydt\n",
+    "\n",
+    "# integrator = parallelIntegrator(func_to_integrate)\n",
+    "\n",
+    "def func_to_integrate(t, y):\n",
+    "    dydt = [y[1], -y[0]]\n",
+    "    \n",
+    "    return dydt\n",
+    "\n",
+    "integrator = parallelIntegrator(func_to_integrate, y0=[1., 0.])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d198e4d0-2f68-4c31-b3ae-363dcb8e13bb",
+   "metadata": {},
+   "source": [
+    "## Do it one at a time"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "b958fb5f-b973-465b-9f7e-b9fd21ee182f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7f913991db50>,\n",
+       " <matplotlib.lines.Line2D at 0x7f913991db20>]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 650x550 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "vals = []\n",
+    "ts = np.linspace(0, 10, 101)\n",
+    "for t in ts:\n",
+    "    vals.append(integrator(t))\n",
+    "\n",
+    "vals = np.array(vals)\n",
+    "\n",
+    "plt.plot(ts, vals)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "48b8e60e-0572-41f9-b87c-9f0f93bba8d2",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "## Mix arrays and floats:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "9183e104-da3a-4bbb-ab07-eacfb28ad4c5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7f9139da6760>,\n",
+       " <matplotlib.lines.Line2D at 0x7f9139da67c0>]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 650x550 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "vals = (np.array([integrator(ts[0])]).T, integrator(ts[1:41]), np.array([integrator(ts[41])]).T, integrator(ts[42:]))\n",
+    "#vals = (np.array([integrator(ts[0])]), integrator(ts[1:41]), np.array([integrator(ts[41])]), integrator(ts[42:]))\n",
+    "vals = np.concatenate(vals, axis=1)\n",
+    "\n",
+    "plt.plot(ts, vals.T)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d979166c-768a-4bc4-873e-237ee2777b97",
+   "metadata": {},
+   "source": [
+    "## Reset the integator:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "0ff47bf0-6d42-4a04-b5c7-d3771d0b20d2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[1.0, 0.0]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "integrator(-np.pi/2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e32c5ba0-cd58-4112-ae6c-94e20cdece38",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "853fd9d9-f97a-4740-851a-8c27887c4dd4",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "## Mix arrays and floats:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "cdfd0091-d629-41d4-b645-2766d8c6121a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7f9139ebe490>,\n",
+       " <matplotlib.lines.Line2D at 0x7f9139ebe4f0>]"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 650x550 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "vals = (np.array([integrator(ts[0])]).T, integrator(ts[1:41]), np.array([integrator(ts[41])]).T, integrator(ts[42:]))\n",
+    "#vals = (np.array([integrator(ts[0])]), integrator(ts[1:41]), np.array([integrator(ts[41])]), integrator(ts[42:]))\n",
+    "vals = np.concatenate(vals, axis=1)\n",
+    "\n",
+    "plt.plot(ts, vals.T)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}