From 6ff1351a3d75af4ce1c54dc58d73169def342b34 Mon Sep 17 00:00:00 2001 From: Stefano Mandelli Date: Mon, 2 Aug 2021 11:08:27 +0200 Subject: [PATCH 01/14] Spin tod (#25) * Check on the az lims In order to perform spin scans. WARNING: A spin scan cannot be uniform. Too many hits at the edges of the sky slab. The spin velocity has to be modulated accordingly with the distance from the north pole. * Update the simulation file * Fixed some bugs in OpPointingHpix Typo in init function * Update the colorscale in plot_realization update the single detector script * Update Readme.md * The opacity has been fixed (#22) Now, the `atm_absorption_coefficient` uses the correct opacity where the dry-air, O2 and H2O are taken into account, instead the only H2O contribute. Changes to be committed: modified: src/libcal/src/AATM_fun.cpp * Add centos8 ohpc optimized singularity container definition file (#23) Extended parallelization compatibility * Add comments on total opacity * Add the Focalplane class and tutorial notebooks * Complete the atmospheric tutorial * Delete Atmospheric_simulation_TOD.ipynb * Update cookbook * Update the cookbook * Simulation pipeline for STRIP observations * Scheduler for Slurm * Completed the scheduler for indaco submission * Feed the repository * Modify the scheduler * Update the Docker container * Update the scheduler and the parameters files * Add the two par files * Update file par * Update the scheduler * Modified `sim_tod.py` for implementing the smooth pointing Now, the sping scan is modulated as a function of the AZ angle. In this way the pointing are well distributed on the sky and are not still concentrated on the two slab of sky at the edges of the observed sky The improvements are significant, firt of all, the denoise algorithm works a lot of order o magnitude better! * Elevation and azimuthal modulation * Atm simulation modified Co-authored-by: savaroskij <36457165+savaroskij@users.noreply.github.com> --- cookbook/Atmospheric_simulation_TOD.ipynb | 1649 +-------------------- src/pycal/_libcal_tod_pointings.cpp | 28 +- src/pycal/todmap/pointing.py | 346 ++++- src/pycal/todmap/sim_tod.py | 1390 ++++++++++++++--- 4 files changed, 1551 insertions(+), 1862 deletions(-) diff --git a/cookbook/Atmospheric_simulation_TOD.ipynb b/cookbook/Atmospheric_simulation_TOD.ipynb index 8548974e..f7215773 100644 --- a/cookbook/Atmospheric_simulation_TOD.ipynb +++ b/cookbook/Atmospheric_simulation_TOD.ipynb @@ -1,1648 +1 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# The telescope observations\n", - "\n", - "Authors: Stefano Mandelli, ...\n", - "\n", - "In this notebook tutorial we present the `pycal` package. This package was conceived for simulating the atmospheric noise, in particular the correlated noise introduced by the water vapor structures. Differently from the oxygen, the water vapor is not well mixed in the atmosphere and its distribution follow the Kolmogorov spectrum. These strucures are seen by the telescope during the observations and, in the time-frequency domain are very dificult to identify. The features of this noise are very similar to the scientific signal and is very difficult to get rid of it, whitout a significan loss of scientific information.\n", - "\n", - "In this tutorial I present a possibile way to assess the atmospheric noise of a specific geografical site, in order to create noise model that can be used as preconditioner during the map-making operations." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "# import system packages\n", - "import os\n", - "from datetime import datetime\n", - "import sys\n", - "import argparse\n", - "import traceback\n", - "import pickle\n", - "import yaml\n", - "\n", - "# import numpy\n", - "import numpy as np\n", - "import healpy as hp\n", - "%matplotlib inline\n", - "\n", - "# the MPI comunicator class, customized for pycal data storage\n", - "from pycal.mpi import get_world, Comm\n", - "\n", - "# the Data class \n", - "from pycal.dist import distribute_uniform, Data\n", - "\n", - "# some pycal utils to share informations with the environment\n", - "from pycal.utils import Logger, Environment, memreport\n", - "\n", - "# some timers\n", - "from pycal.timing import function_timer, GlobalTimers, Timer, gather_timers\n", - "from pycal.timing import dump as dump_timing\n", - "\n", - "# the simulate the pointing, the atmosphere and put all the information in the TODGround class\n", - "from pycal.todmap import TODGround, OpSimAtmosphere, OpPointingHpix\n", - "from pycal.weather import Weather\n", - "\n", - "# Some wrapper to libaatm, they solve the radiative transfer equation in local thermodynamic equilibrium\n", - "from pycal.todmap.atm import atm_absorption_coefficient, atm_absorption_coefficient_vec\n", - "\n", - "# helper functions\n", - "from pycal.tests._helpers import boresight_focalplane\n", - "import pycal.qarray as qa\n", - "\n", - "# focal plane and telescope calsses\n", - "from pycal.todmap import Focalplane\n", - "from pycal.todmap import Telescope" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "# set up the output directory for each mc iterations\n", - "\n", - "@function_timer\n", - "def setup_output(outdir, comm, mc, freq):\n", - " outpath = \"{}/{:08}/{:03}\".format(outdir, mc, int(freq))\n", - " if comm.world_rank == 0:\n", - " os.makedirs(outpath, exist_ok=True)\n", - " return outpath" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# we start to load a fake focal plane. In this way it is possible to see the structure of the Focalplane class\n" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "def load_focalplane(args, comm):\n", - " focalplane = None\n", - "\n", - " # Load focalplane information\n", - "\n", - " if comm.comm_world is None or comm.comm_world.rank == 0:\n", - " if args.focalplane is None:\n", - " detector_data = {}\n", - " with open(r'/home/algebrato/.julia/dev/Stripeline/instrumentdb/strip_focal_plane.yaml') as file:\n", - " focalplane=yaml.full_load(file)\n", - "\n", - " detecotrs=focalplane['horns'].keys()\n", - " for i in detecotrs:\n", - " directions=focalplane['horns'][i]['orientation']\n", - " l=np.arctan(directions[0]/directions[2])\n", - " u=np.arctan(directions[1]/directions[2])\n", - " zaxis = np.array([0, 0, 1], dtype=np.float64)\n", - " \n", - " angrot = qa.rotation(zaxis, 0 * np.pi / 180.0)\n", - " wx = np.rad2deg(l) * np.pi / 180.0\n", - " wy = np.rad2deg(u) * np.pi / 180.0\n", - " wz = np.sqrt(1.0 - (wx * wx + wy * wy))\n", - " wdir = np.array([wx, wy, wz])\n", - " strip_quat = qa.from_vectors(zaxis, wdir)\n", - " \n", - " strip = {}\n", - " strip[\"quat\"] = strip_quat\n", - " strip[\"fwhm\"] = 20.0\n", - " strip[\"fknee\"] = 0.0\n", - " strip[\"fmin\"] = 1e-9\n", - " strip[\"alpha\"] = 1.0\n", - " strip[\"NET\"] = 1.0\n", - " strip[\"color\"] = \"r\"\n", - " \n", - " detector_data[i] = strip\n", - " \n", - " focalplane = Focalplane(\n", - " detector_data=detector_data, sample_rate=args.sample_rate\n", - " )\n", - " else:\n", - " focalplane = Focalplane(\n", - " fname_pickle=args.focalplane, sample_rate=args.sample_rate\n", - " )\n", - " if comm.comm_world is not None:\n", - " focalplane = comm.comm_world.bcast(focalplane, root=0)\n", - "\n", - " if args.debug:\n", - " if comm.comm_world is None or comm.comm_world.rank == 0:\n", - " outfile = \"{}/focalplane.png\".format(args.outdir)\n", - " focalplane._plot_fp(12, 12, outfile)\n", - "\n", - " #schedule.telescope.focalplane = focalplane\n", - " #detweights = focalplane.detweights\n", - "\n", - " return focalplane" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "# definition of the logger, the global timer and the environment\n", - "log = Logger.get()\n", - "gt = GlobalTimers.get()\n", - "env = Environment.get()\n", - "\n", - "gt.start(\"Atmospheric simulation (globbal timer)\")\n", - "timer0 = Timer()\n", - "timer0.start()\n", - "\n", - "# Get the communicator\n", - "mpiworld, procs, rank = get_world()\n", - "if rank == 0:\n", - " print(env)\n", - "if mpiworld is None:\n", - " log.info(\"Running serially with one process at {}\".format(str(datetime.now())))\n", - "else:\n", - " if rank == 0:\n", - " log.info(\n", - " \"Running with {} processes at {}\".format(procs, str(datetime.now()))\n", - " )\n", - "comm = Comm(world=mpiworld)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "# Arguments of the simulation\n", - "class args:\n", - " sample_rate=50\n", - " focalplane=None\n", - " ces_name = \"Test1\"\n", - " scan=\"spin\"\n", - " subscan=\"spin_1day\"\n", - " ces_stop_time = datetime(2022, 9, 1, 1, 0, 0).timestamp()\n", - " ces_start_time = datetime(2022, 9, 1, 0, 0, 0).timestamp()\n", - " site_name= \"Tenerife\"\n", - " site_lon = \"-16:31:00\"\n", - " site_lat = \"28:20:00\"\n", - " site_alt = 2390.0\n", - " coord = \"C\"\n", - " ces_azmin = 0\n", - " ces_azmax = 0\n", - " ces_el = 70\n", - " scanrate = 2.0\n", - " scan_accel = 1.0\n", - " CES_start = None\n", - " NSIDE=128\n", - " debug=True\n", - " outdir=\"out_directory_4\"\n", - "args = args()" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "fp = load_focalplane(args, comm)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "# Create the TOD structure\n", - "data = Data(comm)\n", - "weather = \"weather_STRIP.fits\"\n", - "totsamples = int((args.ces_stop_time - args.ces_start_time) * args.sample_rate)" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "# create the TOD for this observation\n", - "if comm.comm_group is not None:\n", - " ndetrank = comm.comm_group.size\n", - "else:\n", - " ndetrank = 1\n", - "\n", - "try:\n", - " tod = TODGround(\n", - " comm.comm_group,\n", - " fp.detquats,\n", - " totsamples,\n", - " detranks=ndetrank,\n", - " firsttime=args.ces_start_time,\n", - " rate=args.sample_rate,\n", - " site_lon=args.site_lon,\n", - " site_lat=args.site_lat,\n", - " site_alt=args.site_alt,\n", - " azmin=args.ces_azmin,\n", - " azmax=args.ces_azmax,\n", - " el=args.ces_el,\n", - " scanrate=args.scanrate,\n", - " scan_accel=args.scan_accel,\n", - " sinc_modulation=None,\n", - " CES_start=None,\n", - " CES_stop=None,\n", - " sun_angle_min=None,\n", - " coord=args.coord,\n", - " sampsizes=None,\n", - " report_timing=None,\n", - " hwprpm=None,\n", - " hwpstep=None,\n", - " hwpsteptime=None,\n", - " )\n", - "except RuntimeError as e:\n", - " raise RuntimeError(\n", - " 'Failed to create TOD for {}-{}-{}: \"{}\"'\n", - " \"\".format(args.ces_name, args.scan, args.subscan, e)\n", - " )\n", - "\n", - "# Create the observation, and append the tod\n", - "obs = {}\n", - "obs[\"name\"] = \"CES-{}-{}-{}-{}\".format(\n", - " args.site_name, args.ces_name, args.scan, args.subscan\n", - ")\n", - "obs[\"tod\"] = tod\n", - "obs[\"id\"] = data.comm.group\n", - "obs[\"telescope_id\"] = 1\n", - "obs[\"site\"] = \"Tenerife\"\n", - "obs[\"site_name\"] = args.site_name\n", - "obs[\"site_id\"] = 123\n", - "obs[\"altitude\"] = args.site_alt\n", - "obs[\"weather\"] = Weather(weather, site=123)\n", - "obs[\"fpradius\"] = 10.0\n", - "obs[\"start_time\"] = args.ces_start_time\n", - "obs[\"focalplane\"] = fp\n", - "\n", - "data.obs.append(obs)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[{'name': 'CES-Tenerife-Test1-spin-spin_1day',\n", - " 'tod': \n", - " In grid dimensions 1 sample ranks x 1 detranks\n", - " Process at (0, 0) in grid has data for:\n", - " Samples 0 - 179999 (inclusive)\n", - " Detectors:\n", - " B0\n", - " B1\n", - " B2\n", - " B3\n", - " B4\n", - " B5\n", - " B6\n", - " G0\n", - " G1\n", - " G2\n", - " G3\n", - " G4\n", - " G5\n", - " G6\n", - " I0\n", - " I1\n", - " I2\n", - " I3\n", - " I4\n", - " I5\n", - " I6\n", - " O0\n", - " O1\n", - " O2\n", - " O3\n", - " O4\n", - " O5\n", - " O6\n", - " R0\n", - " R1\n", - " R2\n", - " R3\n", - " R4\n", - " R5\n", - " R6\n", - " V0\n", - " V1\n", - " V2\n", - " V3\n", - " V4\n", - " V5\n", - " V6\n", - " W1\n", - " W2\n", - " W3\n", - " W4\n", - " W5\n", - " W6\n", - " Y0\n", - " Y1\n", - " Y2\n", - " Y3\n", - " Y4\n", - " Y5\n", - " Y6\n", - " Cache contains 14580000 bytes\n", - " >,\n", - " 'id': 0,\n", - " 'telescope_id': 1,\n", - " 'site': 'Tenerife',\n", - " 'site_name': 'Tenerife',\n", - " 'site_id': 123,\n", - " 'altitude': 2390.0,\n", - " 'weather': (Weather : 'weather_STRIP.fits', site = 123, time = None, year = None, month = None, hour = None, realization = 0),\n", - " 'fpradius': 10.0,\n", - " 'start_time': 1661983200.0,\n", - " 'focalplane': (Focalplane : 55 detectors, sample_rate = 50 Hz, radius = 4.938124782532563 deg, detectors = (I0, I1, I2, I3, I4, I5, I6, Y0, Y1, Y2, Y3, Y4, Y5, Y6, O0, O1, O2, O3, O4, O5, O6, R0, R1, R2, R3, R4, R5, R6, V0, V1, V2, V3, V4, V5, V6, B0, B1, B2, B3, B4, B5, B6, G0, G1, G2, G3, G4, G5, G6, W1, W2, W3, W4, W5, W6, ))}]" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "data.obs" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "# Expand the pointing, interpolating the quaternions\n", - "if comm.comm_world is not None:\n", - " comm.comm_world.barrier()\n", - "timer0.stop()\n", - "if comm.world_rank == 0:\n", - " timer0.report(\"Simulated scans\")\n", - "\n", - "if comm.world_rank == 0:\n", - " log.info(\"Expanding pointing\")\n", - "\n", - "pointing = OpPointingHpix(\n", - " nside=args.NSIDE,\n", - " nest=True,\n", - " mode=\"IQU\",\n", - " single_precision=True,\n", - " nside_submap=args.NSIDE,\n", - ")\n", - "\n", - "pointing.exec(data)\n", - "\n", - "if comm.comm_world is not None:\n", - " comm.comm_world.barrier()\n", - "if comm.world_rank == 0:\n", - " timer0.report_clear(\"Pointing generation\")" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Creating atm_cache_4/0/0/0\n", - "0 : CES-Tenerife-Test1-spin-spin_1day : WARNING: Observe atmosphere FAILED on 29.86% of samples\n", - "Creating atm_cache_4/0/0/0\n", - "0 : CES-Tenerife-Test1-spin-spin_1day : WARNING: Observe atmosphere FAILED on 3.63% of samples\n", - "Creating atm_cache_4/0/0/0\n", - "0 : CES-Tenerife-Test1-spin-spin_1day : WARNING: Observe atmosphere FAILED on 10.89% of samples\n", - "0 : CES-Tenerife-Test1-spin-spin_1day : WARNING: Observe atmosphere FAILED on 50.23% of samples\n", - "Creating atm_cache_4/0/0/0\n", - "0 : CES-Tenerife-Test1-spin-spin_1day : WARNING: Observe atmosphere FAILED on 14.53% of samples\n", - "Creating atm_cache_4/0/0/0\n", - "0 : CES-Tenerife-Test1-spin-spin_1day : WARNING: Observe atmosphere FAILED on 31.50% of samples\n" - ] - } - ], - "source": [ - "# Atmospheric MC simulation \n", - "start_mc = 0\n", - "nsimu = 5\n", - "cache_name = \"atm_4\"\n", - "atm_cache=\"atm_cache_4\"\n", - "verbose = 0\n", - "freq = 43 # GHz\n", - "\n", - "for mc in range(start_mc, start_mc + nsimu):\n", - "\n", - " log = Logger.get()\n", - " tmr = Timer()\n", - " tmr.start()\n", - " if comm.world_rank == 0 and verbose:\n", - " log.info(\"Simulating atmosphere\")\n", - " if atm_cache and not os.path.isdir(atm_cache):\n", - " try:\n", - " os.makedirs(atm_cache)\n", - " except FileExistsError:\n", - " pass\n", - "\n", - " common_atm_params = {\n", - " \"realization\": mc,\n", - " \"component\": 123456,\n", - " \"lmin_center\": 0.01, # in m?\n", - " \"lmin_sigma\": 0.001, \n", - " \"lmax_center\": 100, # in m?\n", - " \"lmax_sigma\": 10,\n", - " \"zatm\": 40000.0,\n", - " \"zmax\": 2000.0,\n", - " \"xstep\": 100.0,\n", - " \"ystep\": 100.0,\n", - " \"zstep\": 100.0,\n", - " \"nelem_sim_max\": 10000,\n", - " \"verbosity\": 0,\n", - " \"gain\": 1,\n", - " \"z0_center\": 2000,\n", - " \"z0_sigma\": 0,\n", - " \"apply_flags\": False,\n", - " \"common_flag_name\": None,\n", - " \"common_flag_mask\": 255,\n", - " \"flag_name\": None,\n", - " \"flag_mask\": 255,\n", - " \"report_timing\": True,\n", - " \"wind_dist\": 10000,\n", - " \"flush\": False,\n", - " }\n", - "\n", - " # Simulate the atmosphere signal\n", - " atm = OpSimAtmosphere(out=\"atm_4\", cachedir=atm_cache, freq=freq, **common_atm_params)\n", - " atm.exec(data)\n", - "\n", - " if comm.comm_world is not None:\n", - " comm.comm_world.barrier()\n", - " tmr.stop()\n", - " if comm.world_rank == 0:\n", - " tmr.report(\"Atmosphere simulation\")\n", - "\n", - "\n", - " if comm.world_rank == 0:\n", - " log.info(\n", - " \"Processing frequency {}GHz, MC = {}\".format(freq, mc))" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "%matplotlib inline" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "npix = 12 * args.NSIDE ** 2\n", - "hitmap = np.zeros(npix)\n", - "\n", - "for obs in data.obs:\n", - " tod = obs['tod']\n", - " for det in tod.local_dets:\n", - " if len(det.split(\"I\")[0]) == 2:\n", - " pixels = tod.cache.reference(\"pixels_{}\".format(det))\n", - " hitmap[pixels] += 1\n", - " \n", - "hitmap[hitmap == 0] = hp.UNSEEN\n", - "hp.mollview(hitmap, nest=True, title=\"all hit pixels\", cbar=True)\n", - "hp.graticule(alpha=0.4)" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['atm_4_B0',\n", - " 'atm_4_B1',\n", - " 'atm_4_B2',\n", - " 'atm_4_B3',\n", - " 'atm_4_B4',\n", - " 'atm_4_B5',\n", - " 'atm_4_B6',\n", - " 'atm_4_G0',\n", - " 'atm_4_G1',\n", - " 'atm_4_G2',\n", - " 'atm_4_G3',\n", - " 'atm_4_G4',\n", - " 'atm_4_G5',\n", - " 'atm_4_G6',\n", - " 'atm_4_I0',\n", - " 'atm_4_I1',\n", - " 'atm_4_I2',\n", - " 'atm_4_I3',\n", - " 'atm_4_I4',\n", - " 'atm_4_I5',\n", - " 'atm_4_I6',\n", - " 'atm_4_O0',\n", - " 'atm_4_O1',\n", - " 'atm_4_O2',\n", - " 'atm_4_O3',\n", - " 'atm_4_O4',\n", - " 'atm_4_O5',\n", - " 'atm_4_O6',\n", - " 'atm_4_R0',\n", - " 'atm_4_R1',\n", - " 'atm_4_R2',\n", - " 'atm_4_R3',\n", - " 'atm_4_R4',\n", - " 'atm_4_R5',\n", - " 'atm_4_R6',\n", - " 'atm_4_V0',\n", - " 'atm_4_V1',\n", - " 'atm_4_V2',\n", - " 'atm_4_V3',\n", - " 'atm_4_V4',\n", - " 'atm_4_V5',\n", - " 'atm_4_V6',\n", - " 'atm_4_W1',\n", - " 'atm_4_W2',\n", - " 'atm_4_W3',\n", - " 'atm_4_W4',\n", - " 'atm_4_W5',\n", - " 'atm_4_W6',\n", - " 'atm_4_Y0',\n", - " 'atm_4_Y1',\n", - " 'atm_4_Y2',\n", - " 'atm_4_Y3',\n", - " 'atm_4_Y4',\n", - " 'atm_4_Y5',\n", - " 'atm_4_Y6',\n", - " 'az',\n", - " 'boresight_azel',\n", - " 'boresight_radec',\n", - " 'common_flags',\n", - " 'flags_B0',\n", - " 'flags_B1',\n", - " 'flags_B2',\n", - " 'flags_B3',\n", - " 'flags_B4',\n", - " 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'pixels_B0',\n", - " 'pixels_B1',\n", - " 'pixels_B2',\n", - " 'pixels_B3',\n", - " 'pixels_B4',\n", - " 'pixels_B5',\n", - " 'pixels_B6',\n", - " 'pixels_G0',\n", - " 'pixels_G1',\n", - " 'pixels_G2',\n", - " 'pixels_G3',\n", - " 'pixels_G4',\n", - " 'pixels_G5',\n", - " 'pixels_G6',\n", - " 'pixels_I0',\n", - " 'pixels_I1',\n", - " 'pixels_I2',\n", - " 'pixels_I3',\n", - " 'pixels_I4',\n", - " 'pixels_I5',\n", - " 'pixels_I6',\n", - " 'pixels_O0',\n", - " 'pixels_O1',\n", - " 'pixels_O2',\n", - " 'pixels_O3',\n", - " 'pixels_O4',\n", - " 'pixels_O5',\n", - " 'pixels_O6',\n", - " 'pixels_R0',\n", - " 'pixels_R1',\n", - " 'pixels_R2',\n", - " 'pixels_R3',\n", - " 'pixels_R4',\n", - " 'pixels_R5',\n", - " 'pixels_R6',\n", - " 'pixels_V0',\n", - " 'pixels_V1',\n", - " 'pixels_V2',\n", - " 'pixels_V3',\n", - " 'pixels_V4',\n", - " 'pixels_V5',\n", - " 'pixels_V6',\n", - " 'pixels_W1',\n", - " 'pixels_W2',\n", - " 'pixels_W3',\n", - " 'pixels_W4',\n", - " 'pixels_W5',\n", - " 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"metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import pylab as plt\n", - "plt.plot(data.obs[0]['tod'].cache.reference(name='atm_4_I0'))" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'name': 'CES-Tenerife-Test1-spin-spin_1day',\n", - " 'tod': \n", - " In grid dimensions 1 sample ranks x 1 detranks\n", - " Process at (0, 0) in grid has data for:\n", - " Samples 0 - 179999 (inclusive)\n", - " Detectors:\n", - " B0\n", - " B1\n", - " B2\n", - " B3\n", - " B4\n", - " B5\n", - " B6\n", - " G0\n", - " G1\n", - " G2\n", - " G3\n", - " G4\n", - " G5\n", - " G6\n", - " I0\n", - " I1\n", - " I2\n", - " I3\n", - " I4\n", - " I5\n", - " I6\n", - " O0\n", - " O1\n", - " O2\n", - " O3\n", - " O4\n", - " O5\n", - " O6\n", - " R0\n", - " R1\n", - " R2\n", - " R3\n", - " R4\n", - " R5\n", - " R6\n", - " V0\n", - " V1\n", - " V2\n", - " V3\n", - " V4\n", - " V5\n", - " V6\n", - " W1\n", - " W2\n", - " W3\n", - " W4\n", - " W5\n", - " W6\n", - " Y0\n", - " Y1\n", - " Y2\n", - " Y3\n", - " Y4\n", - " Y5\n", - " Y6\n", - " Cache contains 262080000 bytes\n", - " >,\n", - " 'id': 0,\n", - " 'telescope_id': 1,\n", - " 'site': 'Tenerife',\n", - " 'site_name': 'Tenerife',\n", - " 'site_id': 123,\n", - " 'altitude': 2390.0,\n", - " 'weather': (Weather : 'weather_STRIP.fits', site = 123, time = 1661983200.0, year = 2022, month = 7, hour = 22, realization = 4),\n", - " 'fpradius': 10.0,\n", - " 'start_time': 1661983200.0,\n", - " 'focalplane': (Focalplane : 55 detectors, sample_rate = 50 Hz, radius = 4.938124782532563 deg, detectors = (I0, I1, I2, I3, I4, I5, I6, Y0, Y1, Y2, Y3, Y4, Y5, Y6, O0, O1, O2, O3, O4, O5, O6, R0, R1, R2, R3, R4, R5, R6, V0, V1, V2, V3, V4, V5, V6, B0, B1, B2, B3, B4, B5, B6, G0, G1, G2, G3, G4, G5, G6, W1, W2, W3, W4, W5, W6, ))}" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "obs" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "atm_4_B0\n", - "atm_4_B1\n", - "atm_4_B2\n", - "atm_4_B3\n", - "atm_4_B4\n", - "atm_4_B5\n", - "atm_4_B6\n", - "atm_4_G0\n", - "atm_4_G1\n", - "atm_4_G2\n", - "atm_4_G3\n", - "atm_4_G4\n", - "atm_4_G5\n", - "atm_4_G6\n", - "atm_4_I0\n", - "atm_4_I1\n", - "atm_4_I2\n", - "atm_4_I3\n", - "atm_4_I4\n", - "atm_4_I5\n", - "atm_4_I6\n", - "atm_4_O0\n", - "atm_4_O1\n", - "atm_4_O2\n", - "atm_4_O3\n", - "atm_4_O4\n", - "atm_4_O5\n", - "atm_4_O6\n", - "atm_4_R0\n", - "atm_4_R1\n", - "atm_4_R2\n", - "atm_4_R3\n", - "atm_4_R4\n", - "atm_4_R5\n", - "atm_4_R6\n", - "atm_4_V0\n", - "atm_4_V1\n", - "atm_4_V2\n", - "atm_4_V3\n", - "atm_4_V4\n", - "atm_4_V5\n", - "atm_4_V6\n", - "atm_4_W1\n", - "atm_4_W2\n", - "atm_4_W3\n", - "atm_4_W4\n", - "atm_4_W5\n", - "atm_4_W6\n", - "atm_4_Y0\n", - "atm_4_Y1\n", - "atm_4_Y2\n", - "atm_4_Y3\n", - "atm_4_Y4\n", - "atm_4_Y5\n", - "atm_4_Y6\n" - ] - } - ], - "source": [ - "cache_name = \"atm_4\"\n", - "log = Logger.get()\n", - "if comm.world_rank == 0 and verbose:\n", - " log.info(\"Scaling atmosphere by frequency\")\n", - "timer = Timer()\n", - "timer.start()\n", - "for obs in data.obs: # Now we have only one observation\n", - " tod = obs[\"tod\"]\n", - " todcomm = tod.mpicomm\n", - "\n", - " weather = obs[\"weather\"]\n", - " focalplane = obs[\"focalplane\"]\n", - "\n", - " start_time = obs[\"start_time\"]\n", - " weather.set(123, mc, start_time)\n", - " altitude = obs[\"altitude\"]\n", - " air_temperature = weather.air_temperature\n", - " surface_pressure = weather.surface_pressure\n", - " pwv = weather.pwv\n", - " # Use the entire processing group to sample the absorption\n", - " # coefficient as a function of frequency\n", - " freqmin = 0\n", - " freqmax = 2 * freq\n", - " nfreq = 1001\n", - " freqstep = (freqmax - freqmin) / (nfreq - 1)\n", - " if todcomm is None:\n", - " nfreq_task = nfreq\n", - " my_ifreq_min = 0\n", - " my_ifreq_max = nfreq\n", - " else:\n", - " nfreq_task = int(nfreq // todcomm.size) + 1\n", - " my_ifreq_min = nfreq_task * todcomm.rank\n", - " my_ifreq_max = min(nfreq, nfreq_task * (todcomm.rank + 1))\n", - " my_nfreq = my_ifreq_max - my_ifreq_min\n", - " my_freqs = freqmin + np.arange(my_ifreq_min, my_ifreq_max) * freqstep\n", - " my_absorption = atm_absorption_coefficient_vec(\n", - " altitude,\n", - " air_temperature,\n", - " surface_pressure,\n", - " pwv,\n", - " my_freqs[0],\n", - " my_freqs[-1],\n", - " my_nfreq,\n", - " )\n", - " \n", - " if todcomm is None:\n", - " freqs = my_freqs\n", - " absorption = my_absorption\n", - " else:\n", - " freqs = np.hstack(todcomm.allgather(my_freqs))\n", - " absorption = np.hstack(todcomm.allgather(my_absorption))\n", - "\n", - " for det in tod.local_dets:\n", - " try:\n", - " # Use detector bandpass from the focalplane\n", - " center = focalplane[det][\"bandcenter_ghz\"]\n", - " width = focalplane[det][\"bandwidth_ghz\"]\n", - " except Exception:\n", - " # Use default values for the entire focalplane\n", - " center = freq\n", - " width = 0.2 * freq\n", - " nstep = 101\n", - " # Interpolate the absorption coefficient to do a top hat\n", - " # integral across the bandpass\n", - " det_freqs = np.linspace(center - width / 2, center + width / 2, nstep)\n", - " absorption_det = np.mean(np.interp(det_freqs, freqs, absorption))\n", - " cachename = \"{}_{}\".format(cache_name, det)\n", - " print(\"{}_{}\".format(cache_name, det))\n", - " ref = tod.cache.reference(cachename)\n", - " ref *= absorption_det\n", - " del ref\n", - "\n", - "if comm.comm_world is not None:\n", - " comm.comm_world.barrier()\n", - "timer0.stop()\n", - "if comm.world_rank == 0 and verbose:\n", - " timer0.report(\"Atmosphere scaling\")" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "for det in obs['tod'].local_dets:\n", - " plt.plot(obs['tod'].cache.reference(\"atm_4_{}\".format(det))/1e3)" - ] - }, - { - "cell_type": "code", - "execution_count": 60, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(1e-14, 5)" - ] - }, - "execution_count": 60, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "tod1 = obs['tod'].cache.reference(\"atm_4_I0\")/1e3\n", - "tod2 = obs['tod'].cache.reference(\"atm_4_G2\")/1e3\n", - "\n", - "plt.figure(figsize=(15,7))\n", - "\n", - "plt.subplot(121)\n", - "plt.plot(tod1)\n", - "plt.plot(tod2)\n", - "plt.plot(tod1-tod2)\n", - "\n", - "plt.subplot(122)\n", - "\n", - "f, p = welch(tod1, fs=50, window='hann', nperseg=50000)\n", - "f2, p2 = welch(tod2, fs=50, window='hann', nperseg=50000)\n", - "f3, p3 = welch(tod1-tod2, fs=50, window='hann', nperseg=50000)\n", - "\n", - "plt.loglog(f, p/np.amax(p), alpha=0.4)\n", - "\n", - "plt.loglog(f3, p3/np.amax(p3), alpha=0.4)\n", - "\n", - "plt.ylim(1e-14,5)" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [], - "source": [ - "log = Logger.get()\n", - "if comm.world_rank == 0 and verbose:\n", - " log.info(\"Updating atmospheric noise weights\")\n", - "timer = Timer()\n", - "timer.start()\n", - "\n", - "site_id = obs[\"site_id\"]\n", - "weather = obs[\"weather\"]\n", - "start_time = obs[\"start_time\"]\n", - "weather.set(site_id, mc, start_time)\n", - "altitude = obs[\"altitude\"]\n", - "absorption = atm_absorption_coefficient(\n", - " altitude,\n", - " weather.air_temperature,\n", - " weather.surface_pressure,\n", - " weather.pwv,\n", - " freq,\n", - ")\n", - "obs[\"noise_scale\"] = absorption * weather.air_temperature\n", - "\n", - "if comm.comm_world is not None:\n", - " comm.comm_world.barrier()\n", - "timer.stop()\n", - "if comm.world_rank == 0 and verbose:\n", - " timer.report(\"Atmosphere weighting\")\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [], - "source": [ - "# Set up the output directory\n", - "mcoffset = freq * 1000000\n", - "outpath = setup_output(args.outdir, comm, mc + mcoffset, freq)" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [], - "source": [ - "gt.stop_all()\n", - "if mpiworld is not None:\n", - " mpiworld.barrier() \n", - "timer = Timer()\n", - "timer.start()\n", - "alltimers = gather_timers(comm=mpiworld)\n", - "if comm.world_rank == 0:\n", - " out = os.path.join(args.outdir, \"timing\")\n", - " dump_timing(alltimers, out)\n", - " timer.stop()\n", - " timer.report(\"Gather and dump timing info\")\n", - " timer0.report_clear(\"single_module_simulation.py\")" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([-1.6375e+30, -1.6375e+30, -1.6375e+30, ..., -1.6375e+30,\n", - " -1.6375e+30, -1.6375e+30])" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "hitmap" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# parallelizzare\n", - "sec = 172000\n", - "import pylab as plt\n", - "npix = 12 * args.NSIDE ** 2\n", - "mappa = np.zeros(npix)\n", - "\n", - "plt.figure(figsize=(10,10))\n", - "i = 0\n", - "#for sec in np.arange(0, 172000, step=20):\n", - "for obs in data.obs:\n", - " tod = obs['tod']\n", - " for det in tod.local_dets:\n", - " if len(det.split(\"B\")[0]) == 2:\n", - " pixels = tod.cache.reference(\"pixels_{}\".format(det))[0:50*sec]\n", - " signal = tod.cache.reference(\"atm_4_{}\".format(det))[0:50*sec]\n", - " mappa[pixels] +=signal\n", - "mappa = (mappa / (hitmap))/1e3\n", - "mappa[mappa == 0 ] = hp.UNSEEN\n", - "\n", - "hp.mollview(mappa, nest=True, min=-12, max=12)\n", - "hp.graticule(alpha=0.4)\n", - " \n", - "\n", - " #plt.savefig(\"anime2/moll\"+str(i)+\".png\", format=\"png\")\n", - " #i = i+1\n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure(figsize=(15,15))\n" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "plt.boxplot(mappa[mappa > hp.UNSEEN], vert=False, showfliers=False)\n", - "plt.grid(alpha=0.4)" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [], - "source": [ - "tod_matrix=dict()\n", - "for obs in data.obs:\n", - " tod = obs['tod']\n", - " for det in tod.local_dets:\n", - " if np.shape(det.split(\"W\"))[0] == 1:\n", - " tod_matrix[det]=obs['tod'].cache.reference(\"atm_4_{}\".format(det))\n", - " \n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "\n", - "matrix = pd.DataFrame(tod_matrix)\n", - "matrix.to_csv(r\"TOD_matrix.csv\",index = False, header=True)\n", - "\n", - "# parallelizzare\n", - "MTX_CX=matrix.corr() # pearson method" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[Text(0.5, 117.59999999999997, 'Detectors name'),\n", - " Text(69.0, 0.5, 'Detectors name'),\n", - " Text(0.5, 1.0, 'Correlation Level')]" - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import seaborn as sns\n", - "\n", - "plt.figure(figsize=(10,10))\n", - "ax = sns.heatmap(MTX_CX, annot=False, cmap='coolwarm', vmin=0.8, vmax=1, center=0.9, square=True)\n", - "ax.set(xlabel='Detectors name', ylabel='Detectors name', title=\"Correlation Level\")\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0.8267707816324008" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Y6 = tod_matrix[\"Y6\"] \n", - "B4 = tod_matrix[\"V4\"]\n", - "\n", - "y6m = np.mean(Y6)\n", - "b4m = np.mean(B4)\n", - "\n", - "c = np.sum((Y6-y6m) * (B4-b4m))/ np.sqrt(np.sum((Y6-y6m)**2) * np.sum((B4-b4m)**2))\n", - "c" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [], - "source": [ - "from scipy.signal import periodogram as peridog\n", - "from scipy.signal import welch " - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [], - "source": [ - "secondi = 3364\n", - "power = np.zeros(int(len(tod_matrix[\"I0\"][0:50*secondi])/2 + 1 ))\n", - "power_w = np.zeros(25001)\n", - "\n", - "\n", - "\n", - "for i in [\"I0\"]:\n", - " f, p = peridog(np.hamming(len(tod_matrix[i][0:50*secondi]))*tod_matrix[i][0:50*secondi], fs=50)\n", - " power += p\n", - "\n", - "for i in tod_matrix:\n", - " f_w, p_w = welch(tod_matrix[i][0:50*secondi], fs=50, window='hann', nperseg=50000)\n", - " power_w += p_w/100\n" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(0.0, 0.2)" - ] - }, - "execution_count": 39, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "#plt.semilogy(f, power/(49+6), '-', alpha=0.6)\n", - "plt.semilogy(f, (1e5/7)*(((1+0.2/f))**(11/3)), 'k')\n", - "\n", - "for i in range(10):\n", - " plt.plot([(i)/70, (i)/70], [1, 1e10])\n", - "\n", - "plt.semilogy(f_w, power_w)\n", - "\n", - "plt.ylim(1e4, 1e11)\n", - "plt.xlim(0, 0.2)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "for i in tod_matrix:\n", - " print(i)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "np.savez_compressed('test', obs)" - ] - }, - { - "cell_type": "code", - "execution_count": 69, - "metadata": {}, - "outputs": [], - "source": [ - "import pickle " - ] - }, - { - "cell_type": "code", - "execution_count": 78, - "metadata": {}, - "outputs": [], - "source": [ - "tods = {}\n", - "poin = {}\n", - "for i in obs['tod'].local_dets:\n", - " t = obs['tod'].cache.reference(\"atm_4_{}\".format(i))\n", - " p = obs['tod'].cache.reference(\"pixels_{}\".format(i))\n", - " tods[i]=t\n", - " poin[i]=p" - ] - }, - { - "cell_type": "code", - "execution_count": 79, - "metadata": {}, - "outputs": [], - "source": [ - "np.savez_compressed('test_tod', tods)\n", - "np.savez_compressed('test_point', poin)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "\n", - "r = np.random.randn(1000)\n", - "\n", - "r_f = p.fft.fft(r)\n", - "noise_f = sigma * (1+fknee/f)**alpha\n", - "\n", - "s_f = r_f * noise_f\n", - "\n", - "\n" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "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": "3.9.2" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} +Empty \ No newline at end of file diff --git a/src/pycal/_libcal_tod_pointings.cpp b/src/pycal/_libcal_tod_pointings.cpp index 58310b9f..6e980341 100644 --- a/src/pycal/_libcal_tod_pointings.cpp +++ b/src/pycal/_libcal_tod_pointings.cpp @@ -8,15 +8,13 @@ void init_tod_pointing(py::module & m) { m.def("pointing_matrix_healpix", [](cal::HealpixPixels const & hpix, bool nest, double eps, double cal, - std::string const & mode, py::buffer pdata, py::buffer hwpang, + std::string const & mode, py::buffer pdata, py::object hwpang, py::buffer flags, py::buffer pixels, py::buffer weights) { pybuffer_check_1D (pdata); - pybuffer_check_1D (hwpang); pybuffer_check_1D (flags); pybuffer_check_1D (weights); pybuffer_check_1D (pixels); py::buffer_info info_pdata = pdata.request(); - py::buffer_info info_hwpang = hwpang.request(); py::buffer_info info_flags = flags.request(); py::buffer_info info_pixels = pixels.request(); py::buffer_info info_weights = weights.request(); @@ -25,8 +23,7 @@ void init_tod_pointing(py::module & m) { if (mode.compare("IQU") == 0) { nw = (size_t)(info_weights.size / 3); } - if ((info_hwpang.size != n) || - (info_flags.size != n) || + if ((info_flags.size != n) || (info_pixels.size != n) || (nw != n)) { auto log = cal::Logger::get(); std::ostringstream o; @@ -35,20 +32,33 @@ void init_tod_pointing(py::module & m) { throw std::runtime_error(o.str().c_str()); } double * rawpdata = reinterpret_cast (info_pdata.ptr); - double * rawhwpang = reinterpret_cast (info_hwpang.ptr); uint8_t * rawflags = reinterpret_cast (info_flags.ptr); double * rawweights = reinterpret_cast (info_weights.ptr); int64_t * rawpixels = reinterpret_cast (info_pixels.ptr); + double * rawhwpang = NULL; + if (!hwpang.is_none()) { + auto hwpbuf = py::cast (hwpang); + pybuffer_check_1D (hwpbuf); + py::buffer_info info_hwpang = hwpbuf.request(); + if (info_hwpang.size != n) { + auto log = cal::Logger::get(); + std::ostringstream o; + o << "HWP buffer size is not consistent."; + log.error(o.str().c_str()); + throw std::runtime_error(o.str().c_str()); + } + rawhwpang = reinterpret_cast (info_hwpang.ptr); + } cal::pointing_matrix_healpix(hpix, nest, eps, cal, mode, n, rawpdata, rawhwpang, rawflags, rawpixels, rawweights); return; }, py::arg("hpix"), py::arg("nest"), py::arg("eps"), py::arg("cal"), - py::arg("mode"), py::arg("pdata"), py::arg("hwpang"), py::arg("flags"), + py::arg("mode"), py::arg("pdata"), py::arg("hwpang").none(true), + py::arg("flags"), py::arg("pixels"), py::arg( "weights"), R"( Compute the healpix pixel indices and weights for one detector. - Args: hpix (HealpixPixels): The healpix projection object. nest (bool): If True, then use NESTED ordering, else RING. @@ -61,10 +71,8 @@ void init_tod_pointing(py::module & m) { pixels (array, int64): The detector pixel indices to store the result. weights (array, int64): The flat packed detector weights for the specified mode. - Returns: None. - )"); return; diff --git a/src/pycal/todmap/pointing.py b/src/pycal/todmap/pointing.py index 0824ef6b..1234babd 100644 --- a/src/pycal/todmap/pointing.py +++ b/src/pycal/todmap/pointing.py @@ -1,8 +1,21 @@ +# Copyright (c) 2015-2020 by the parties listed in the AUTHORS file. +# All rights reserved. Use of this source code is governed by +# a BSD-style license that can be found in the LICENSE file. + import numpy as np + +import healpy as hp + +from ..qarray import rotate + from ..utils import Environment + from ..healpix import HealpixPixels + from ..op import Operator + from ..timing import function_timer + from .._libcal import pointing_matrix_healpix class OpPointingHpix(Operator): @@ -23,7 +36,7 @@ class OpPointingHpix(Operator): the total response is: .. math:: - d = cal \\left[\\frac{(1+eps)}{2} I + \\frac{(1-eps)}{2} \\left[Q \\cos{4(a+w)} + U \\sin{4(a+w)}\\right]\\right] + d = cal \\left[\\frac{(1+eps)}{2} I + \\frac{(1-eps)}{2} \\left[Q \\cos{2a+4w} + U \\sin{2a+4w}\\right]\\right] Args: pixels (str): write pixels to the cache with name _. @@ -48,9 +61,8 @@ class OpPointingHpix(Operator): weights in single precision. Default=False. nside_submap (int): Size of a submap is 12 * nside_submap ** 2 """ - def __init__( - self, + self, pixels="pixels", weights="weights", nside=64, @@ -94,28 +106,25 @@ def __init__( # We call the parent class constructor, which currently does nothing super().__init__() + @property def nside(self): - """(int): the HEALPix NSIDE value used. - """ + """(int): the HEALPix NSIDE value used.""" return self._nside @property def nest(self): - """(bool): if True, the pointing is NESTED ordering. - """ + """(bool): if True, the pointing is NESTED ordering.""" return self._nest @property def mode(self): - """(str): the pointing mode "I", "IQU", etc. - """ + """(str): the pointing mode "I", "IQU", etc.""" return self._mode @property def local_submaps(self): - """(list): Indices of locally hit submaps - """ + """(list): Indices of locally hit submaps""" if self._single_precision: dtype = np.int32 else: @@ -131,7 +140,7 @@ def exec(self, data): This data is stored in the TOD cache. Args: - data (toast.Data): The distributed data. + data (cal.Data): The distributed data. """ env = Environment.get() @@ -153,9 +162,7 @@ def exec(self, data): try: hwpang = tod.local_hwp_angle() except: - pass - if hwpang is None: - hwpang = np.zeros(nsamp, dtype=np.float64) + hwpang = None # read the common flags and apply bitmask @@ -216,7 +223,9 @@ def exec(self, data): # Use cached version detp = pdata[bslice, :] - hslice = hwpang[bslice].reshape(-1) + hslice = None + if hwpang is not None: + hslice = hwpang[bslice].reshape(-1) fslice = common[bslice].reshape(-1) pointing_matrix_healpix( @@ -271,3 +280,308 @@ def exec(self, data): return + +class OpMuellerPointingHpix(Operator): + """Operator which generates I/Q/U healpix pointing weights. + + Given the individual detector pointing, this computes the pointing weights + assuming that the detector is a linear polarizer followed by a total + power measurement. An optional dictionary of calibration factors may + be specified. Additional options include specifying a constant cross-polar + response (eps) and a set of HWP Mueller matrix parameters. The timestream + model is then (see Jones, et al, 2006): + + .. math:: + d = cal \\left[\\frac{(1+eps)}{2} I + \\frac{(1-eps)}{2} \\left[Q \\cos{2a} + U \\sin{2a}\\right]\\right] + + Or, if a HWP is included in the response with time varying angle "w", then + the total response is: + + .. math:: + d = cal \\left[\\frac{(1+eps)}{2} I + \\frac{(1-eps)}{2} \\left[Q \\cos{2a+4w} + U \\sin{2a+4w}\\right]\\right] + + Args: + pixels (str): write pixels to the cache with name _. + If the named cache objects do not exist, then they are created. + weights (str): write pixel weights to the cache with name + _. If the named cache objects do not exist, + then they are created. + nside (int): NSIDE resolution for Healpix NEST ordered intensity map. + nest (bool): if True, use NESTED ordering. + mode (string): either "I" or "IQU" + cal (dict): dictionary of calibration values per detector. A None + value means a value of 1.0 for all detectors. + epsilon (dict): dictionary of cross-polar response per detector. A + None value means epsilon is zero for all detectors. + common_flag_name (str): the optional name of a cache object to use for + the common flags. + common_flag_mask (byte): the bitmask to use when flagging the pointing + matrix using the common flags. + apply_flags (bool): whether to read the TOD common flags, bitwise OR + with the common_flag_mask, and then flag the pointing matrix. + single_precision (bool): Return the pixel numbers and pointing + weights in single precision. Default=False. + nside_submap (int): Size of a submap is 12 * nside_submap ** 2 + hwp_parameters_set (tuple) : tuple of parameters describing + the Mueller Matrix [T, c,rho,s ] as defined in Bryan et al. 2010 : + + .. math:: + M_{HWP}= + \begin{pmatrix} + T & \rho & 0 & 0 \\ + \rho & T & 0 & 0 \\ + 0 & 0 & c & -s \\ + 0 & 0 & s & c \\ + \end{pmatrix} + + default assumes an ideal HWP i.e. T=1,c=-1,rho=0,s=0. + + """ + + def __init__( + self, + pixels="pixels", + weights="weights", + nside=64, + nest=False, + mode="I", + cal=None, + epsilon=None, + common_flag_name=None, + common_flag_mask=255, + apply_flags=False, + keep_quats=False, # this should be set to True to work in L480 + single_precision=False, + nside_submap=16, + hwp_parameters_set=[1, -1, 0, 0], + ): + self._pixels = pixels + self._weights = weights + self._nside = nside + self._nest = nest + self._mode = mode + self._cal = cal + self._epsilon = epsilon + self._common_flag_mask = common_flag_mask + self._apply_flags = apply_flags + self._common_flag_name = common_flag_name + self._keep_quats = keep_quats + self._single_precision = single_precision + self._nside_submap = min(nside, nside_submap) + self._npix_submap = 12 * self._nside_submap ** 2 + self._nsubmap = (self._nside // self._nside_submap) ** 2 + self._hit_submaps = np.zeros(self._nsubmap, dtype=np.bool) + self._hwp_parameters_set = hwp_parameters_set + # initialize the healpix pixels object + self.hpix = HealpixPixels(self._nside) + + if self._mode == "I": + self._nnz = 1 + elif self._mode == "IQU": + self._nnz = 3 + else: + raise RuntimeError("Unsupported mode") + + # We call the parent class constructor, which currently does nothing + super().__init__() + + @property + def nside(self): + """(int): the HEALPix NSIDE value used.""" + return self._nside + + @property + def nest(self): + """(bool): if True, the pointing is NESTED ordering.""" + return self._nest + + @property + def mode(self): + """(str): the pointing mode "I", "IQU", etc.""" + return self._mode + + @property + def local_submaps(self): + """(list): Indices of locally hit submaps""" + if self._single_precision: + dtype = np.int32 + else: + dtype = np.int64 + return np.arange(self._nsubmap, dtype=dtype)[self._hit_submaps] + + @function_timer + def exec(self, data): + """Create pixels and weights. + + This iterates over all observations and detectors, and creates + the pixel and weight arrays representing the pointing matrix. + This data is stored in the TOD cache. + + Args: + data (cal.Data): The distributed data. + + """ + env = Environment.get() + tod_buffer_length = env.tod_buffer_length() + + for obs in data.obs: + tod = obs["tod"] + + # compute effective sample rate + + times = tod.local_times() + dt = np.mean(times[1:-1] - times[0:-2]) + rate = 1.0 / dt + del times + + offset, nsamp = tod.local_samples + + hwpang = None + try: + hwpang = tod.local_hwp_angle() + except: + hwpang = None + raise RuntimeError("Can't run this operator if hwpang is None ") + + # read the common flags and apply bitmask + + common = None + if self._apply_flags: + common = tod.local_common_flags(self._common_flag_name) + common = common & self._common_flag_mask + else: + common = np.zeros(nsamp, dtype=np.uint8) + + for det in tod.local_dets: + eps = 0.0 + if self._epsilon is not None: + eps = self._epsilon[det] + + cal = 1.0 + if self._cal is not None: + cal = self._cal[det] + + # Create cache objects and use that memory directly + + pixelsname = "{}_{}".format(self._pixels, det) + weightsname = "{}_{}".format(self._weights, det) + + pixelsref = None + weightsref = None + + if tod.cache.exists(pixelsname): + pixelsref = tod.cache.reference(pixelsname) + else: + pixelsref = tod.cache.create(pixelsname, np.int64, (nsamp,)) + + if tod.cache.exists(weightsname): + weightsref = tod.cache.reference(weightsname) + else: + weightsref = tod.cache.create( + weightsname, np.float64, (nsamp, self._nnz) + ) + + pdata = None + if self._keep_quats: + # We are keeping the detector quaternions, so cache + # them now for the full sample range. + pdata = tod.local_pointing(det) + + xaxis = np.array([1.0, 0.0, 0.0]) + zaxis = np.array([0.0, 0.0, 1.0]) + nullquat = np.array([0.0, 0.0, 0.0, 1.0]) + eta = (1.0 - eps) / (1.0 + eps) + + pdata[common] = nullquat + + dir = rotate(pdata, zaxis) + pixelsref = hp.vec2pix( + nside=self._nside, x=dir[:, 0], y=dir[:, 1], z=dir[:, 2], nest=True + ) + + pixelsref[common] = -1 + # import pdb + # pdb.set_trace() + + T = self._hwp_parameters_set[0] + c = self._hwp_parameters_set[1] + rho = self._hwp_parameters_set[2] + s = self._hwp_parameters_set[3] + cos2hwp = np.cos(2 * hwpang) + + if self._mode == "I": + weightsref = cal * (T + eta * rho * cos2hwp) + elif self._mode == "IQU": + orient = rotate(pdata, xaxis) + + by = orient[:, 0] * dir[:, 1] - orient[:, 1] * dir[:, 0] + bx = ( + orient[:, 0] * (-dir[:, 2] * dir[:, 0]) + + orient[:, 1] * (-dir[:, 2] * dir[:, 1]) + + orient[:, 2] * (dir[:, 0] * dir[:, 0] + dir[:, 1] * dir[:, 1]) + ) + + detang = np.arctan2(by, bx) + + sindetang = np.sin(2 * detang) + cosdetang = np.cos(2 * detang) + + ang4 = 2 * detang + 4 * hwpang + ang2 = 2 * detang + 2 * hwpang + + sin4 = np.sin(ang4) + sin2 = np.sin(ang2) + cos4 = np.cos(ang4) + cos2 = np.cos(ang2) + + weightsref[:, 0] = cal * (T + (eta * rho * cos2hwp)) + weightsref[:, 1] = cal * ( + (rho * cos2) + + eta * (T + c) / 2.0 * cosdetang + + eta * (T - c) / 2.0 * cos4 + ) + weightsref[:, 2] = cal * ( + (rho * sin2) + + eta * (T + c) / 2.0 * sindetang + + eta * (T - c) / 2.0 * sin4 + ) + else: + raise RuntimeError("Unknown healpix pointing matrix mode") + + if self._single_precision: + pixels = pixelsref.astype(np.int32) + del pixelsref + pixelsref = tod.cache.put(pixelsname, pixels, replace=True) + del pixels + weights = weightsref.astype(np.float32) + del weightsref + weightsref = tod.cache.put(weightsname, weights, replace=True) + del weights + + self._hit_submaps[pixelsref // self._npix_submap] = True + + del pixelsref + del weightsref + del pdata + + del common + + # Store the local submaps in the data object under the same name + # as the pixel numbers + + if self._single_precision: + dtype = np.int32 + else: + dtype = np.int64 + + local_submaps = np.arange(self._nsubmap, dtype=dtype)[self._hit_submaps] + submap_name = "{}_local_submaps".format(self._pixels) + data[submap_name] = local_submaps + npix_submap_name = "{}_npix_submap".format(self._pixels) + data[npix_submap_name] = self._npix_submap + nsubmap_name = "{}_nsubmap".format(self._pixels) + data[nsubmap_name] = self._nsubmap + npix_name = "{}_npix".format(self._pixels) + data[npix_name] = 12 * self._nside ** 2 + + return diff --git a/src/pycal/todmap/sim_tod.py b/src/pycal/todmap/sim_tod.py index 55340996..51d9244d 100644 --- a/src/pycal/todmap/sim_tod.py +++ b/src/pycal/todmap/sim_tod.py @@ -2,25 +2,20 @@ # All rights reserved. Use of this source code is governed by # a BSD-style license that can be found in the LICENSE file. -import numpy as np - -from scipy.constants import degree - -import healpy as hp +import warnings try: import ephem except: ephem = None +import healpy as hp +import numpy as np +from scipy.constants import degree from .. import qarray as qa - from ..timing import function_timer, Timer - from ..tod import Interval, TOD - from ..healpix import ang2vec - from .pointing_math import quat_equ2ecl, quat_equ2gal, quat_ecl2gal @@ -33,8 +28,7 @@ @function_timer def simulate_hwp(tod, hwprpm, hwpstep, hwpsteptime): - """ Simulate and cache HWP angle in the TOD - """ + """Simulate and cache HWP angle in the TOD""" if hwprpm is None and hwpsteptime is None and hwpstep is None: # No HWP return @@ -100,6 +94,610 @@ def simulate_hwp(tod, hwprpm, hwpstep, hwpsteptime): return + +@function_timer +def slew_precession_axis(result, firstsamp=0, samplerate=100.0, degday=1.0): + """Generate quaternions for constantly slewing precession axis. + + This constructs quaternions which rotates the Z coordinate axis + to the X/Y plane, and then slowly rotates this. This can be used + to generate quaternions for the precession axis used in satellite + scanning simulations. + + Args: + result (array): The quaternion array to fill. + firstsamp (int): The offset in samples from the start + of rotation. + samplerate (float): The sampling rate in Hz. + degday (float): The rotation rate in degrees per day. + + """ + zaxis = np.array([0.0, 0.0, 1.0]) + + # this is the increment in radians per sample + angincr = degday * (np.pi / 180.0) / (24.0 * 3600.0 * samplerate) + + if result.shape[1] != 4: + raise RuntimeError("Result array has wrong dimensions") + + nsim = result.shape[0] + + # Compute the time-varying quaternions representing the rotation + # from the coordinate frame to the precession axis frame. The + # angle of rotation is fixed (PI/2), but the axis starts at the Y + # coordinate axis and sweeps. + + buf_off = 0 + buf_n = tod_buffer_length + while buf_off < nsim: + if buf_off + buf_n > nsim: + buf_n = nsim - buf_off + bslice = slice(buf_off, buf_off + buf_n) + + satang = np.arange(buf_n, dtype=np.float64) + satang *= angincr + satang += angincr * (buf_off + firstsamp) + # satang += angincr * firstsamp + (np.pi / 2) + + cang = np.cos(satang) + sang = np.sin(satang) + + # this is the time-varying rotation axis + sataxis = np.concatenate( + (cang.reshape(-1, 1), sang.reshape(-1, 1), np.zeros((buf_n, 1))), axis=1 + ) + + result[bslice, :] = qa.from_vectors( + np.tile(zaxis, buf_n).reshape(-1, 3), sataxis + ) + + buf_off += buf_n + + return + + +@function_timer +def satellite_scanning( + result, + firstsamp=0, + samplerate=100.0, + qprec=None, + spinperiod=1.0, + spinangle=85.0, + precperiod=0.0, + precangle=0.0, +): + """Generate boresight quaternions for a generic satellite. + + Given scan strategy parameters and the relevant angles + and rates, generate an array of quaternions representing + the rotation of the ecliptic coordinate axes to the + boresight. + + Args: + result (array): The quaternion array to fill. + firstsamp (int): The offset in samples from the start + of rotation. + samplerate (float): The sampling rate in Hz. + qprec (ndarray): If None (the default), then the + precession axis will be fixed along the + X axis. If a 1D array of size 4 is given, + This will be the fixed quaternion used + to rotate the Z coordinate axis to the + precession axis. If a 2D array of shape + (nsim, 4) is given, this is the time-varying + rotation of the Z axis to the precession axis. + spinperiod (float): The period (in minutes) of the + rotation about the spin axis. + spinangle (float): The opening angle (in degrees) + of the boresight from the spin axis. + precperiod (float): The period (in minutes) of the + rotation about the precession axis. + precangle (float): The opening angle (in degrees) + of the spin axis from the precession axis. + + """ + if spinperiod > 0.0: + spinrate = 1.0 / (60.0 * spinperiod) + else: + spinrate = 0.0 + spinangle = spinangle * np.pi / 180.0 + + if precperiod > 0.0: + precrate = 1.0 / (60.0 * precperiod) + else: + precrate = 0.0 + precangle = precangle * np.pi / 180.0 + + xaxis = np.array([1, 0, 0], dtype=np.float64) + yaxis = np.array([0, 1, 0], dtype=np.float64) + zaxis = np.array([0, 0, 1], dtype=np.float64) + + if result.shape[1] != 4: + raise RuntimeError("Result array has wrong dimensions") + nsim = result.shape[0] + + if qprec is not None: + if (qprec.shape[0] != nsim) or (qprec.shape[1] != 4): + raise RuntimeError("qprec array has wrong dimensions") + + buf_off = 0 + buf_n = tod_buffer_length + while buf_off < nsim: + if buf_off + buf_n > nsim: + buf_n = nsim - buf_off + bslice = slice(buf_off, buf_off + buf_n) + + satrot = np.empty((buf_n, 4), np.float64) + if qprec is None: + # in this case, we just have a fixed precession axis, pointing + # along the ecliptic X axis. + satrot[:, :] = np.tile( + qa.rotation(np.array([0.0, 1.0, 0.0]), np.pi / 2), buf_n + ).reshape(-1, 4) + elif qprec.flatten().shape[0] == 4: + # we have a fixed precession axis. + satrot[:, :] = np.tile(qprec.flatten(), buf_n).reshape(-1, 4) + else: + # we have full vector of quaternions + satrot[:, :] = qprec[bslice, :] + + # Time-varying rotation about precession axis. + # Increment per sample is + # (2pi radians) X (precrate) / (samplerate) + # Construct quaternion from axis / angle form. + + # print("satrot = ", satrot[-1]) + + precang = np.arange(buf_n, dtype=np.float64) + precang += float(buf_off + firstsamp) + precang *= 2.0 * np.pi * precrate / samplerate + # print("precang = ", precang[-1]) + + cang = np.cos(0.5 * precang) + sang = np.sin(0.5 * precang) + + precaxis = np.multiply( + sang.reshape(-1, 1), np.tile(zaxis, buf_n).reshape(-1, 3) + ) + + precrot = np.concatenate((precaxis, cang.reshape(-1, 1)), axis=1) + + # Rotation which performs the precession opening angle + precopen = qa.rotation(np.array([1.0, 0.0, 0.0]), precangle) + + # Time-varying rotation about spin axis. Increment + # per sample is + # (2pi radians) X (spinrate) / (samplerate) + # Construct quaternion from axis / angle form. + + spinang = np.arange(buf_n, dtype=np.float64) + spinang += float(buf_off + firstsamp) + spinang *= 2.0 * np.pi * spinrate / samplerate + + cang = np.cos(0.5 * spinang) + sang = np.sin(0.5 * spinang) + + spinaxis = np.multiply( + sang.reshape(-1, 1), np.tile(zaxis, buf_n).reshape(-1, 3) + ) + + spinrot = np.concatenate((spinaxis, cang.reshape(-1, 1)), axis=1) + + # Rotation which performs the spin axis opening angle + + spinopen = qa.rotation(np.array([1.0, 0.0, 0.0]), spinangle) + + # compose final rotation + + result[bslice, :] = qa.mult( + satrot, qa.mult(precrot, qa.mult(precopen, qa.mult(spinrot, spinopen))) + ) + buf_off += buf_n + + return result + + +class TODHpixSpiral(TOD): + """Provide a simple generator of fake detector pointing. + + Detector focalplane offsets are specified as a dictionary of 4-element + ndarrays. The boresight pointing is a simple looping over HealPix + ring ordered pixel centers. + + Args: + mpicomm (mpi4py.MPI.Comm): the MPI communicator over which the + data are distributed (or None). + detectors (dictionary): each key is the detector name, and each value + is a quaternion tuple. + samples (int): The total number of samples. + firsttime (float): starting time of data. + rate (float): sample rate in Hz. + nside (int): sky NSIDE to use. + rot (ndarray): Extra quaternion to rotate the quaternions with. + Other keyword arguments are passed to the parent class constructor. + + """ + + def __init__( + self, + mpicomm, + detectors, + samples, + firsttime=0.0, + rate=100.0, + nside=512, + rot=None, + **kwargs + ): + + self._fp = detectors + self._detlist = sorted(list(self._fp.keys())) + + props = {"nside": nside} + super().__init__(mpicomm, self._detlist, samples, meta=props, **kwargs) + + self._firsttime = firsttime + self._rate = rate + self._nside = nside + self._npix = 12 * self._nside * self._nside + self._rot = rot + + def detoffset(self): + return {d: np.asarray(self._fp[d]) for d in self._detlist} + + def _get(self, detector, start, n): + # This class just returns data streams of zeros + return np.zeros(n, dtype=np.float64) + + def _put(self, detector, start, data, flags): + raise RuntimeError("cannot write data to simulated data streams") + return + + def _get_flags(self, detector, start, n): + return np.zeros(n, dtype=np.uint8) + + def _put_flags(self, detector, start, flags): + raise RuntimeError("cannot write flags to simulated data streams") + return + + def _get_common_flags(self, start, n): + return np.zeros(n, dtype=np.uint8) + + def _put_common_flags(self, start, flags): + raise RuntimeError("cannot write flags to simulated data streams") + return + + def _get_times(self, start, n): + start_abs = self.local_samples[0] + start + start_time = self._firsttime + float(start_abs) / self._rate + stop_time = start_time + float(n) / self._rate + stamps = np.linspace( + start_time, stop_time, num=n, endpoint=False, dtype=np.float64 + ) + return stamps + + def _put_times(self, start, stamps): + raise RuntimeError("cannot write timestamps to simulated data streams") + return + + @function_timer + def _get_boresight(self, start, n): + # compute the absolute sample offset + start_abs = self.local_samples[0] + start + + # pixel offset + start_pix = int(start_abs % self._npix) + pixels = np.linspace(start_pix, start_pix + n, num=n, endpoint=False) + step = (start_abs + pixels) // self._npix + pixels = np.mod(pixels, self._npix * np.ones(n, dtype=np.int64)).astype( + np.int64 + ) + + # the result of this is normalized + x, y, z = hp.pix2vec(self._nside, pixels, nest=False) + + # z axis is obviously normalized + zaxis = np.array([0, 0, 1], dtype=np.float64) + ztiled = np.tile(zaxis, x.shape[0]).reshape((-1, 3)) + + # ... so dir is already normalized + dir = np.ravel(np.column_stack((x, y, z))).reshape((-1, 3)) + + # get the rotation axis + v = np.cross(ztiled, dir) + v = v / np.sqrt(np.sum(v * v, axis=1)).reshape((-1, 1)) + + # this is the vector-wise dot product + zdot = np.sum(ztiled * dir, axis=1).reshape((-1, 1)) + ang = 0.5 * np.arccos(zdot) + + # angle element + s = np.cos(ang) + + # axis + v *= np.sin(ang) + + # build the normalized quaternion + boresight = qa.norm(np.concatenate((v, s), axis=1)) + + # Add rotation around the boresight + zrot = qa.rotation(zaxis, np.radians(45) * step) + boresight = qa.mult(boresight, zrot) + if self._rot is not None: + boresight = qa.mult(self._rot, boresight) + boresight = qa.norm(boresight) + + return boresight + + def _put_boresight(self, start, data): + raise RuntimeError("cannot write boresight to simulated data streams") + return + + @function_timer + def _get_pntg(self, detector, start, n): + detquat = np.asarray(self._fp[detector]) + boresight = self._get_boresight(start, n) + data = qa.mult(boresight, detquat) + return data + + def _put_pntg(self, detector, start, data): + raise RuntimeError("cannot write data to simulated pointing") + return + + def _get_position(self, start, n): + return np.zeros((n, 3), dtype=np.float64) + + def _put_position(self, start, pos): + raise RuntimeError("cannot write data to simulated position") + return + + def _get_velocity(self, start, n): + return np.zeros((n, 3), dtype=np.float64) + + def _put_velocity(self, start, vel): + raise RuntimeError("cannot write data to simulated velocity") + return + + +class TODSatellite(TOD): + """Provide a simple generator of satellite detector pointing. + + Detector focalplane offsets are specified as a dictionary of 4-element + ndarrays. The boresight pointing is a generic 2-angle model. + + Args: + mpicomm (mpi4py.MPI.Comm): the MPI communicator over which the + data are distributed (or None). + detectors (dictionary): each key is the detector name, and each value + is a quaternion tuple. + samples (int): The total number of samples. + firstsamp (int): The offset in samples from the start + of the mission. + firsttime (float): starting time of data. + rate (float): sample rate in Hz. + spinperiod (float): The period (in minutes) of the + rotation about the spin axis. + spinangle (float): The opening angle (in degrees) + of the boresight from the spin axis. + precperiod (float): The period (in minutes) of the + rotation about the precession axis. + precangle (float): The opening angle (in degrees) + of the spin axis from the precession axis. + coord (str): Sky coordinate system. One of + C (Equatorial), E (Ecliptic) or G (Galactic) + hwprpm: if None, a constantly rotating HWP is not included. Otherwise + it is the rate (in RPM) of constant rotation. + hwpstep: if None, then a stepped HWP is not included. Otherwise, this + is the step in degrees. + hwpsteptime: The time in minutes between HWP steps. + All other keyword arguments are passed to the parent constructor. + + """ + + def __init__( + self, + mpicomm, + detectors, + samples, + firstsamp=0, + firsttime=0.0, + rate=100.0, + spinperiod=1.0, + spinangle=85.0, + precperiod=0.0, + precangle=0.0, + coord="E", + hwprpm=None, + hwpstep=None, + hwpsteptime=None, + **kwargs + ): + + self._fp = detectors + self._detlist = sorted(list(self._fp.keys())) + + self._firstsamp = firstsamp + self._firsttime = firsttime + self._rate = rate + self._spinperiod = spinperiod + self._spinangle = spinangle + self._precperiod = precperiod + self._precangle = precangle + self._coord = coord + self._boresight = None + + props = { + "spinperiod": spinperiod, + "spinangle": spinangle, + "precperiod": precperiod, + "precangle": precangle, + } + + # call base class constructor to distribute data + super().__init__(mpicomm, self._detlist, samples, meta=props, **kwargs) + + self._AU = 149597870.7 + self._radperday = 0.01720209895 + self._radpersec = self._radperday / 86400.0 + self._radinc = self._radpersec / self._rate + self._earthspeed = self._radpersec * self._AU + + # If HWP parameters are specified, simulate and cache HWP angle + + simulate_hwp(self, hwprpm, hwpstep, hwpsteptime) + + def set_prec_axis(self, qprec=None): + """Set the fixed or time-varying precession axis. + + This function sets the precession axis for the locally assigned samples. + It also triggers the generation and caching of the boresight pointing. + + Args: + qprec (ndarray): If None (the default), then the + precession axis will be fixed along the + X axis. If a 1D array of size 4 is given, + This will be the fixed quaternion used + to rotate the Z coordinate axis to the + precession axis. If a 2D array of shape + (local samples, 4) is given, this is the time-varying + rotation of the Z axis to the precession axis. + + """ + if qprec is not None: + if (qprec.shape != (4,)) and (qprec.shape != (self.local_samples[1], 4)): + raise RuntimeError("precession quaternion has incorrect dimensions") + + # generate and cache the boresight pointing + nsim = self.local_samples[1] + self._boresight = np.empty(4 * nsim, dtype=np.float64).reshape(-1, 4) + satellite_scanning( + self._boresight, + firstsamp=(self._firstsamp + self.local_samples[0]), + qprec=qprec, + samplerate=self._rate, + spinperiod=self._spinperiod, + spinangle=self._spinangle, + precperiod=self._precperiod, + precangle=self._precangle, + ) + + # Satellite pointing is expressed normally in Ecliptic coordinates. + # convert coordinate systems in the boresight frame if necessary. + if self._coord != "E": + # Add the coordinate system rotation + if self._coord == "G": + self._boresight = qa.mult(quat_ecl2gal, self._boresight) + elif self._coord == "C": + rot = qa.inv(quat_equ2ecl) + self._boresight = qa.mult(rot, self._boresight) + else: + raise RuntimeError("Unknown coordinate system: {}".format(self._coord)) + return + + def detoffset(self): + return {d: np.asarray(self._fp[d]) for d in self._detlist} + + def _get_boresight(self, start, n): + if self._boresight is None: + raise RuntimeError( + "you must set the precession axis before reading pointing" + ) + return self._boresight[start : start + n] + + def _put_boresight(self, start, data): + raise RuntimeError("cannot write boresight to simulated data streams") + return + + def _get(self, detector, start, n): + # This class just returns data streams of zeros + return np.zeros(n, dtype=np.float64) + + def _put(self, detector, start, data): + raise RuntimeError("cannot write data to simulated data streams") + return + + def _get_flags(self, detector, start, n): + return np.zeros(n, dtype=np.uint8) + + def _put_det_flags(self, detector, start, flags): + raise RuntimeError("cannot write flags to simulated data streams") + return + + def _get_common_flags(self, start, n): + return np.zeros(n, dtype=np.uint8) + + def _put_common_flags(self, start, flags): + raise RuntimeError("cannot write flags to simulated data streams") + return + + def _get_hwp_angle(self, start, n): + if self.cache.exists(self.HWP_ANGLE_NAME): + angle = self.cache.reference(self.HWP_ANGLE_NAME)[start : start + n] + else: + angle = None + return angle + + def _put_hwp_angle(self, start, flags): + raise RuntimeError("cannot write HWP angle to simulated data streams") + return + + def _get_times(self, start, n): + start_abs = self.local_samples[0] + start + start_time = self._firsttime + float(start_abs) / self._rate + stop_time = start_time + float(n) / self._rate + stamps = np.linspace( + start_time, stop_time, num=n, endpoint=False, dtype=np.float64 + ) + return stamps + + def _put_times(self, start, stamps): + raise RuntimeError("cannot write timestamps to simulated data streams") + return + + def _get_pntg(self, detector, start, n): + boresight = self._get_boresight(start, n) + detquat = self._fp[detector] + data = qa.mult(boresight, detquat) + return data + + def _put_pntg(self, detector, start, data): + raise RuntimeError("cannot write data to simulated pointing") + return + + def _get_position(self, start, n): + # For this simple class, assume that the Earth is located + # along the X axis at time == 0.0s. We also just use the + # mean values for distance and angular speed. Classes for + # real experiments should obviously use ephemeris data. + rad = np.fmod((start - self._firsttime) * self._radpersec, 2.0 * np.pi) + ang = self._radinc * np.arange(n, dtype=np.float64) + rad + x = self._AU * np.cos(ang) + y = self._AU * np.sin(ang) + z = np.zeros_like(x) + return np.ravel(np.column_stack((x, y, z))).reshape((-1, 3)) + + def _put_position(self, start, pos): + raise RuntimeError("cannot write data to simulated position") + return + + def _get_velocity(self, start, n): + # For this simple class, assume that the Earth is located + # along the X axis at time == 0.0s. We also just use the + # mean values for distance and angular speed. Classes for + # real experiments should obviously use ephemeris data. + rad = np.fmod((start - self._firsttime) * self._radpersec, 2.0 * np.pi) + ang = self._radinc * np.arange(n, dtype=np.float64) + rad + (0.5 * np.pi) + x = self._earthspeed * np.cos(ang) + y = self._earthspeed * np.sin(ang) + z = np.zeros_like(x) + return np.ravel(np.column_stack((x, y, z))).reshape((-1, 3)) + + def _put_velocity(self, start, vel): + raise RuntimeError("cannot write data to simulated velocity") + return + + class TODGround(TOD): """Provide a simple generator of ground-based detector pointing. @@ -113,6 +711,8 @@ class TODGround(TOD): detectors (dictionary): each key is the detector name, and each value is a quaternion tuple. samples (int): The total number of samples. + boresight_angle (float): Extra rotation to apply around the + boresight [degrees] firsttime (float): starting time of data. rate (float): sample rate in Hz. site_lon (float/str): Observing site Earth longitude in radians @@ -120,10 +720,35 @@ class TODGround(TOD): site_lat (float/str): Observing site Earth latitude in radians or a pyEphem string. site_alt (float/str): Observing site Earth altitude in meters. + azmin (float): Starting azimuth of the constant elevation scan + or el-nod + azmax (float): Ending azimuth of the constant elevation scan. + If `None`, no CES is performed. + el (float): Elevation of the scan. + el_nod (string or list of float): List of elevations to acquire + relative to `el`. First and last elevation will always be + `el`. Beginning el-nod is always performed at `azmin`. + Ending el-nod is always performed wherever the science scan + ends. [degrees] + start_with_elnod (bool) : Perform el-nod before the scan + end_with_elnod (bool) : Perform el-nod after the scan + el_mod_step (float) : If non-zero, scanning elevation will be + stepped after each scan pair (upon returning to starting + azimuth). [degrees] + el_mod_rate (float) : If non-zero, observing elevation will be + continuously modulated during the science scan. [Hz] + el_mod_amplitude (float) : Range of elevation modulation when + `el_mod_rate` is non-zero. [degrees] + el_mod_sine (bool) : Elevation modulation should assume a + sine-wave shape. If False, use a triangular wave. scanrate (float): Sky scanning rate in degrees / second. - scan_accel (float): Sky scanning rate acceleration in + scanrate_el (float): Sky elevation scanning rate in + degrees / second. If None, will default to `scanrate`. + scan_accel (float): Mount scanning rate acceleration in degrees / second^2 for the turnarounds. - sinc_modulation (bool): Modulate the scan rate according to + scan_accel_el (float): Mount elevation rate acceleration in + degrees / second^2. If None, will default to `scan_accel`. + cosecant_modulation (bool): Modulate the scan rate according to 1/sin(az) to achieve uniform integration depth. CES_start (float): Start time of the constant elevation scan CES_stop (float): Stop time of the constant elevation scan @@ -154,6 +779,7 @@ class TODGround(TOD): RIGHTLEFT_TURNAROUND = RIGHTLEFT_SCAN + TURNAROUND SUN_UP = 8 SUN_CLOSE = 16 + ELNOD = 32 @function_timer def __init__( @@ -161,16 +787,26 @@ def __init__( mpicomm, detectors, samples, + boresight_angle=0, firsttime=0.0, rate=100.0, site_lon=0, site_lat=0, site_alt=0, - azmin=0, - azmax=0, - el=0, + el=None, + azmin=None, + azmax=None, + el_nod=None, + start_with_elnod=True, + end_with_elnod=False, + el_mod_step=0, + el_mod_rate=0, + el_mod_amplitude=1, + el_mod_sine=False, scanrate=1, + scanrate_el=None, scan_accel=0.1, + scan_accel_el=None, CES_start=None, CES_stop=None, el_min=0, @@ -182,7 +818,7 @@ def __init__( hwprpm=None, hwpstep=None, hwpsteptime=None, - sinc_modulation=False, + cosecant_modulation=False, **kwargs ): if samples < 1: @@ -199,45 +835,94 @@ def __init__( "TODGround will synthesize the sizes to match the subscans." ) - if CES_start is None: - CES_start = firsttime - elif firsttime < CES_start: - raise RuntimeError( - "TODGround: firsttime < CES_start: {} < {}" - "".format(firsttime, CES_start) - ) - lasttime = firsttime + samples / rate - if CES_stop is None: - CES_stop = lasttime - elif lasttime > CES_stop: - raise RuntimeError( - "TODGround: lasttime > CES_stop: {} > {}" "".format(lasttime, CES_stop) - ) + testvec = np.array([el, azmin, azmax]) + if azmax: + if not np.all(testvec): + raise RuntimeError( + "Simulating a CES requires `el`, `azmin` and `azmax`" + ) + do_ces = True + else: + do_ces = False + + if el_nod is not None: + if azmin is None: + raise RuntimeError("Simulating an el-nod requires `azmin`") + do_elnod = True + else: + do_elnod = False + if scanrate_el is None: + scanrate_el = scanrate + if scan_accel_el is None: + scan_accel_el = scan_accel + + if not do_ces and not do_elnod: + raise RuntimeError("You must provide parameters for a CES and/or el-nod") + + if CES_start is not None: + warnings.warn("User should not set CES_start", DeprecationWarning) + CES_start = None + if CES_stop is not None: + warnings.warn("User should not set CES_stop", DeprecationWarning) + CES_stop = None + + self._boresight_angle = boresight_angle * degree self._firsttime = firsttime - self._lasttime = lasttime self._rate = rate self._site_lon = site_lon self._site_lat = site_lat self._site_alt = site_alt - #if azmin == azmax: - # raise RuntimeError("TODGround requires non-empty azimuth range") - self._azmin = azmin * degree - self._azmax = azmax * degree - if el < 1 or el > 89: - raise RuntimeError("Impossible CES at {:.2f} degrees".format(el)) - self._el = el * degree + if azmax is not None and samples > 0: + if el < 1 or el > 89: + raise RuntimeError("Impossible CES at {:.2f} degrees".format(el)) + if azmin == azmax: + raise RuntimeError("TODGround CES requires non-empty azimuth range") + self._azmin_ces = azmin * degree + self._azmax_ces = azmax * degree + self._el_ces = el * degree + else: + self._el_ces = None + if do_elnod: + if not start_with_elnod and not end_with_elnod: + raise RuntimeError("El-not requested without start or end") + try: + # Try parsing as a comma-separated string + el_nod_list = [float(x) for x in el_nod.split(",")] + except: + # Must already be an iterable + el_nod_list = list(el_nod) + el_nod = np.array(el_nod_list) + el + if np.any(el_nod < 1) or np.any(el_nod > 90): + raise RuntimeError("Impossible el-nod at {} degrees".format(el_nod)) + el_nod = list(el_nod) + if el is not None: + if abs(el_nod[0] - el) > 1e-3: + el_nod.insert(0, el) + if abs(el_nod[-1] - el) > 1e-3: + el_nod.append(el) + el_nod = np.array(el_nod) + self._elnod_el = el_nod * degree + self._elnod_az = np.zeros_like(el_nod) + azmin * degree + else: + self._elnod_el = None + self._elnod_az = None + self._el_mod_step = el_mod_step * degree + self._el_mod_rate = el_mod_rate + self._el_mod_amplitude = el_mod_amplitude * degree + self._el_mod_sine = el_mod_sine self._scanrate = scanrate * degree self._scan_accel = scan_accel * degree + self._scanrate_el = scanrate_el * degree + self._scan_accel_el = scan_accel_el * degree self._CES_start = CES_start self._CES_stop = CES_stop - self._el_min = el_min self._sun_angle_min = sun_angle_min if coord not in "CEG": raise RuntimeError("Unknown coordinate system: {}".format(coord)) self._coord = coord self._report_timing = report_timing - self._sinc_modulation = sinc_modulation + self._cosecant_modulation = cosecant_modulation self._observer = ephem.Observer() self._observer.lon = self._site_lon @@ -252,35 +937,51 @@ def __init__( self._min_el = None self._min_el = None - self._az = None - self._commonflags = None self._boresight_azel = None self._boresight = None # Set the boresight pointing based on the given scan parameters - tm = Timer() + timer = Timer() if self._report_timing: if mpicomm is not None: mpicomm.Barrier() - tm.start() + timer.start() + + self._times = np.array([]) + self._commonflags = np.array([], dtype=np.uint8) + self._az = np.array([]) + self._el = np.array([]) + + nsample_elnod = 0 + if start_with_elnod: + # Begin with an el-nod + nsample_elnod = self.simulate_elnod( + self._firsttime, azmin * degree, el * degree + ) + if nsample_elnod > 0: + t_elnod = self._times[-1] - self._times[0] + # Shift the time stamps so that the CES starts at the prescribed time + self._times -= t_elnod + self._firsttime -= t_elnod + + nsample_ces = self.simulate_scan(samples) + + if end_with_elnod and self._elnod_az is not None: + # Append en el-nod after the CES + self._elnod_az[:] = self._az[-1] + nsample_elnod = self.simulate_elnod( + self._times[-1], self._az[-1], self._el[-1] + ) + self._lasttime = self._times[-1] + samples = self._times.size - # if azmin % (2 * np.pi) == azmax % (2 * np.pi): # Not the best solutions Reijo - if azmin == azmax: - self._azmin = 0 - self._azmax = 2 * np.pi - sizes, starts = self.simulate_scan(samples) - else: - sizes, starts = self.simulate_scan(samples) if self._report_timing: if mpicomm is not None: mpicomm.Barrier() - tm.stop() - if (mpicomm is None) or (mpicomm.rank == 0): - tm.report("TODGround: simulate scan") - tm.clear() - tm.start() + if mpicomm is None or mpicomm.rank == 0: + timer.report_clear("TODGround: simulate scan") # Create a list of subscans that excludes the turnarounds. # All processes in the group still have all samples. @@ -288,7 +989,7 @@ def __init__( self.subscans = [] self._subscan_min_length = 10 # in samples for istart, istop in zip(self._stable_starts, self._stable_stops): - if istop - istart < self._subscan_min_length: + if istop - istart < self._subscan_min_length or istart < nsample_elnod: self._commonflags[istart:istop] |= self.TURNAROUND continue start = self._firsttime + istart / self._rate @@ -297,23 +998,22 @@ def __init__( Interval(start=start, stop=stop, first=istart, last=istop - 1) ) - self._commonflags[istop:] |= self.TURNAROUND + if len(self._stable_stops) > 0: + self._commonflags[self._stable_stops[-1] :] |= self.TURNAROUND + + if np.sum((self._commonflags & self.TURNAROUND) == 0) == 0 and do_ces: + raise RuntimeError( + "The entire TOD is flagged as turnaround. Samplerate too low " + "({} Hz) or scanrate too high ({} deg/s)?" + "".format(rate, scanrate) + ) - # if np.sum((self._commonflags & self.TURNAROUND) == 0) == 0: - # raise RuntimeError( - # "The entire TOD is flagged as turnaround. Samplerate too low " - # "({} Hz) or scanrate too high ({} deg/s)?" - # "".format(rate, scanrate) - # ) if self._report_timing: if mpicomm is not None: mpicomm.Barrier() - tm.stop() - if (mpicomm is None) or (mpicomm.rank == 0): - tm.report("TODGround: list valid intervals") - tm.clear() - tm.start() + if mpicomm is None or mpicomm.rank == 0: + timer.report_clear("TODGround: list valid intervals") self._fp = detectors self._detlist = sorted(list(self._fp.keys())) @@ -351,11 +1051,8 @@ def __init__( if self._report_timing: if mpicomm is not None: mpicomm.Barrier() - tm.stop() - if (mpicomm is None) or (mpicomm.rank == 0): - tm.report("TODGround: call base class constructor") - tm.clear() - tm.start() + if mpicomm is None or mpicomm.rank == 0: + timer.report_clear("TODGround: call base class constructor") self.translate_pointing() @@ -364,9 +1061,8 @@ def __init__( if self._report_timing: if mpicomm is not None: mpicomm.Barrier() - tm.stop() - if (mpicomm is None) or (mpicomm.rank == 0): - tm.report("TODGround: translate scan pointing") + if mpicomm is None or mpicomm.rank == 0: + timer.report_clear("TODGround: translate scan pointing") # If HWP parameters are specified, simulate and cache HWP angle @@ -374,6 +1070,97 @@ def __init__( return + @function_timer + def scan_time(self, coord_in, coord_out, scanrate, scan_accel): + """Given a coordinate range and scan parameters, determine + the time taken to scan between them, assuming that the scan + begins and ends at rest. + """ + d = np.abs(coord_in - coord_out) + t_accel = scanrate / scan_accel + d_accel = 0.5 * scan_accel * t_accel ** 2 + if 2 * d_accel > d: + # No time to reach scan speed + d_accel = d / 2 + t_accel = np.sqrt(2 * d_accel / scan_accel) + t_coast = 0 + else: + d_coast = d - 2 * d_accel + t_coast = d_coast / scanrate + return 2 * t_accel + t_coast + + @function_timer + def scan_profile( + self, coord_in, coord_out, scanrate, scan_accel, times, nstep=10000 + ): + """scan between the coordinates assuming that the scan begins + and ends at rest. If there is more time than is needed, wait at the end. + """ + if np.abs(coord_in - coord_out) < 1e-6: + return np.zeros(times.size) + coord_out + + d = np.abs(coord_in - coord_out) + t_accel = scanrate / scan_accel + d_accel = 0.5 * scan_accel * t_accel ** 2 + if 2 * d_accel > d: + # No time to reach scan speed + d_accel = d / 2 + t_accel = np.sqrt(2 * d_accel / scan_accel) + t_coast = 0 + # Scan rate at the end of acceleration + scanrate = t_accel * scan_accel + else: + d_coast = d - 2 * d_accel + t_coast = d_coast / scanrate + if coord_in > coord_out: + scanrate *= -1 + scan_accel *= -1 + # + t = [] + coord = [] + # Acceleration + t.append(np.linspace(times[0], times[0] + t_accel, nstep)) + coord.append(coord_in + 0.5 * scan_accel * (t[-1] - t[-1][0]) ** 2) + # Coasting + if t_coast > 0: + t.append(np.linspace(t[-1][-1], t[-1][-1] + t_coast, 3)) + coord.append(coord[-1][-1] + scanrate * (t[-1] - t[-1][0])) + # Deceleration + t.append(np.linspace(t[-1][-1], t[-1][-1] + t_accel, nstep)) + coord.append( + coord[-1][-1] + + scanrate * (t[-1] - t[-1][0]) + - 0.5 * scan_accel * (t[-1] - t[-1][0]) ** 2 + ) + # Wait + if t[-1][-1] < times[-1]: + t.append(np.linspace(t[-1][-1], times[-1], 3)) + coord.append(np.zeros(3) + coord_out) + + # Interpolate to the given time stamps + t = np.hstack(t) + coord = np.hstack(coord) + + return np.interp(times, t, coord) + + @function_timer + def scan_between(self, time_start, azel_in, azel_out, nstep=10000): + """Using self._scanrate, self._scan_accel, self._scanrate_el + and self._scan_accel_el, simulate motion between the two + coordinates + """ + + az1, el1 = azel_in + az2, el2 = azel_out + az_time = self.scan_time(az1, az2, self._scanrate, self._scan_accel) + el_time = self.scan_time(el1, el2, self._scanrate_el, self._scan_accel_el) + time_tot = max(az_time, el_time) + times = np.linspace(0, time_tot, nstep) + az = self.scan_profile(az1, az2, self._scanrate, self._scan_accel, times) + el = self.scan_profile(el1, el2, self._scanrate_el, self._scan_accel_el, times) + + return times + time_start, az, el + @function_timer def __del__(self): try: @@ -418,13 +1205,257 @@ def scan_range(self): """ return self._min_az, self._max_az, self._min_el, self._max_el + @function_timer + def simulate_elnod(self, t_start, az_start, el_start): + """Simulate an el-nod, if one was requested""" + + if self._elnod_el is not None: + time_last = t_start + az_last = az_start + el_last = el_start + t = [] + az = [] + el = [] + for az_new, el_new in zip(self._elnod_az, self._elnod_el): + if np.abs(az_last - az_new) > 1e-3 or np.abs(el_last - el_new) > 1e-3: + tvec, azvec, elvec = self.scan_between( + time_last, (az_last, el_last), (az_new, el_new) + ) + t.append(tvec) + az.append(azvec) + el.append(elvec) + time_last = tvec[-1] + az_last = az_new + el_last = el_new + + t = np.hstack(t) + az = np.hstack(az) + el = np.hstack(el) + + # Store the scan range. We use the high resolution elevation + # so actual sampling rate will not change the range. + self.update_scan_range(az, el) + + # Sample t/az/el down to the sampling rate + nsample_elnod = int((t[-1] - t[0]) * self._rate) + t_sample = np.arange(nsample_elnod) / self._rate + t_start + az_sample = np.interp(t_sample, t, az) + el_sample = np.interp(t_sample, t, el) + commonflags_sample = np.zeros(nsample_elnod, dtype=np.uint8) + ( + self.ELNOD | self.TURNAROUND + ) + self._times = np.hstack([self._times, t_sample]) + self._commonflags = np.hstack([self._commonflags, commonflags_sample]) + self._az = np.hstack([self._az, az_sample]) + self._el = np.hstack([self._el, el_sample]) + else: + nsample_elnod = 0 + + return nsample_elnod + + @function_timer + def update_scan_range(self, az, el): + if self._min_az is None: + self._min_az = np.amin(az) + self._max_az = np.amax(az) + self._min_el = np.amin(el) + self._max_el = np.amax(el) + else: + self._min_az = min(self._min_az, np.amin(az)) + self._max_az = max(self._max_az, np.amax(az)) + self._min_el = min(self._min_el, np.amin(el)) + self._max_el = max(self._max_el, np.amax(el)) + return + + @function_timer + def oscillate_el(self, times, az, el): + """ Simulate oscillating elevation """ + + tt = times - times[0] + # Shift the starting time by a random phase + np.random.seed(int(times[0] % 2 ** 32)) + tt += np.random.rand() / self._el_mod_rate + + if self._el_mod_sine: + # elevation is modulated along a sine wave + angular_rate = 2 * np.pi * self._el_mod_rate + el += self._el_mod_amplitude * np.sin(tt * angular_rate) + + # Check that we did not breach tolerances + el_rate_max = np.amax(np.abs(np.diff(el)) / np.diff(tt)) + if np.any(el_rate_max > self._scanrate_el): + raise RuntimeError( + "Elevation oscillation requires {:.2f} deg/s but " + "mount only allows {:.2f} deg/s".format( + np.degrees(el_rate_max), np.degrees(self._scanrate_el) + ) + ) + else: + # elevation is modulated using a constant rate. We need to + # calculate the appropriate scan rate to achive the desired + # amplitude and period + t_mod = 1 / self._el_mod_rate + # determine scan rate needed to reach given amplitude in given time + a = self._scan_accel_el + b = -0.5 * self._scan_accel_el * t_mod + c = 2 * self._el_mod_amplitude + if b ** 2 - 4 * a * c < 0: + raise RuntimeError( + "Cannot perform {:.2f} deg elevation oscillation in {:.2f} s " + "with {:.2f} deg/s^2 acceleration".format( + np.degrees(self._el_mod_amplitude * 2), + np.degrees(self._scan_accel_el), + ) + ) + root1 = (-b - np.sqrt(b ** 2 - 4 * a * c)) / (2 * a) + root2 = (-b + np.sqrt(b ** 2 - 4 * a * c)) / (2 * a) + if root1 > 0: + t_accel = root1 + else: + t_accel = root2 + t_scan = 0.5 * t_mod - 2 * t_accel + scanrate = t_accel * self._scan_accel_el + if scanrate > self._scanrate_el: + raise RuntimeError( + "Elevation oscillation requires {:.2f} > {:.2f} deg/s " + "scan rate".format( + np.degrees(scanrate), + np.degrees(self._scanrate_el), + ) + ) + + # simulate a high resolution scan to interpolate + + t_interp = [] + el_interp = [] + n = 1000 + # accelerate + t = np.linspace(0, t_accel, n) + t_interp.append(t) + el_interp.append(0.5 * self._scan_accel_el * t ** 2) + # scan + t_last = t_interp[-1][-1] + el_last = el_interp[-1][-1] + t = np.linspace(0, t_scan, 2) + t_interp.append(t_last + t) + el_interp.append(el_last + t * scanrate) + # decelerate + t_last = t_interp[-1][-1] + el_last = el_interp[-1][-1] + t = np.linspace(0, 2 * t_accel, n) + t_interp.append(t_last + t) + el_interp.append( + el_last + scanrate * t - 0.5 * self._scan_accel_el * t ** 2 + ) + # scan + t_last = t_interp[-1][-1] + el_last = el_interp[-1][-1] + t = np.linspace(0, t_scan, 2) + t_interp.append(t_last + t) + el_interp.append(el_last - t * scanrate) + # decelerate + t_last = t_interp[-1][-1] + el_last = el_interp[-1][-1] + t = np.linspace(0, t_accel, n) + t_interp.append(t_last + t) + el_interp.append( + el_last - scanrate * t + 0.5 * self._scan_accel_el * t ** 2 + ) + + t_interp = np.hstack(t_interp) + el_interp = np.hstack(el_interp) + + # finally, modulate the elevation around the input vector + # start time is set to middle of the first stable scan + # *** without a proper accelerating phase *** + tt += t_accel + 0.5 * t_scan + el += np.interp(tt % t_mod, t_interp, el_interp) - self._el_mod_amplitude + + return + + @function_timer + def step_el(self, times, az, el): + """ Simulate elevation steps after each scan pair """ + + sign = np.sign(self._el_mod_step) + el_step = np.abs(self._el_mod_step) + + # simulate a single elevation step at high resolution + + t_accel = self._scanrate_el / self._scan_accel_el + el_accel = 0.5 * self._scan_accel_el * t_accel ** 2 + if el_step > 2 * el_accel: + # Step is large enough to reach elevation scan rate + t_scan = (el_step - 2 * el_accel) / self._scanrate_el + else: + # Only partial acceleration and deceleration + el_accel = np.abs(self._el_mod_step) / 2 + t_accel = np.sqrt(2 * el_accel / self._scan_accel_el) + t_scan = 0 + + t_interp = [] + el_interp = [] + n = 1000 + # accelerate + t = np.linspace(0, t_accel, n) + t_interp.append(t) + el_interp.append(0.5 * self._scan_accel_el * t ** 2) + # scan + if t_scan > 0: + t_last = t_interp[-1][-1] + el_last = el_interp[-1][-1] + t = np.linspace(0, t_scan, n) + t_interp.append(t_last + t) + el_interp.append(el_last + t * self._scanrate_el) + # decelerate + t_last = t_interp[-1][-1] + el_last = el_interp[-1][-1] + el_rate_last = self._scan_accel_el * t_accel + t = np.linspace(0, t_accel, n) + t_interp.append(t_last + t) + el_interp.append( + el_last + el_rate_last * t - 0.5 * self._scan_accel_el * t ** 2 + ) + + t_interp = np.hstack(t_interp) + t_interp -= t_interp[t_interp.size // 2] + el_interp = sign * np.hstack(el_interp) + + # isolate steps + + daz = np.diff(az) + ind = np.where(daz[1:] * daz[:-1] < 0)[0] + 1 + ind = ind[1::2] + + # Modulate the elevation at each step + + for istep in ind: + tstep = times[istep] + el += np.interp(times - tstep, t_interp, el_interp) + + return + @function_timer def simulate_scan(self, samples): - """ Simulate a constant elevation scan, either constant rate or + """Simulate el-nod and/or a constant elevation scan, either constant rate or 1/sin(az)-modulated. """ + if self._el_ces is None: + # User only wanted an el-nod + self._stable_starts = [] + self._stable_stops = [] + return 0 + + if samples <= 0: + raise RuntimeError("CES requires a positive number of samples") + + if len(self._times) == 0: + self._CES_start = self._firsttime + else: + self._CES_start = self._times[-1] + 1 / self._rate + # Begin by simulating one full scan with turnarounds. # It will be used to interpolate the full CES. # `nstep` is the number of steps used for one sweep or one @@ -432,15 +1463,15 @@ def simulate_scan(self, samples): nstep = 10000 - azmin, azmax = [self._azmin, self._azmax] - if self._sinc_modulation: - # We always simulate a rising sinc scan and then + azmin, azmax = [self._azmin_ces, self._azmax_ces] + if self._cosecant_modulation: + # We always simulate a rising cosecant scan and then # mirror it if necessary - azmin %= np.pi - azmax %= np.pi + azmin %= np.pi # 10 + azmax %= np.pi # 170 if azmin > azmax: raise RuntimeError( - "Cannot scan across zero meridian with sinc-modulated scan" + "Cannot scan across zero meridian with cosecant-modulated scan" ) elif azmax < azmin: azmax += 2 * np.pi @@ -449,19 +1480,19 @@ def simulate_scan(self, samples): all_az = [] all_flags = [] # translate scan rate from sky to mount coordinates - base_rate = self._scanrate / np.cos(self._el) + base_rate = self._scanrate / np.cos(self._el_ces) # scan acceleration is already in the mount coordinates scan_accel = self._scan_accel - # left-to-right + # left-to-right // OK tvec = [] azvec = [] t0 = t - if self._sinc_modulation: + if self._cosecant_modulation: t1 = t0 + (np.cos(azmin) - np.cos(azmax)) / base_rate tvec = np.linspace(t0, t1, nstep, endpoint=True) - azvec = np.arccos(np.cos(azmin) + base_rate * t0 - base_rate * tvec) + azvec = np.arccos(np.cos(azmin) - base_rate * (tvec-t0)) else: # Constant scanning rate, only requires two data points t1 = t0 + (np.cos(azmin) - np.cos(azmax)) / base_rate @@ -472,89 +1503,72 @@ def simulate_scan(self, samples): all_flags.append(np.zeros(tvec.size, dtype=np.uint8) | self.LEFTRIGHT_SCAN) t = t1 - # turnaround - - t0 = t - if self._sinc_modulation: - dazdt = base_rate / np.abs(np.sin(azmax)) - else: - dazdt = base_rate / np.abs(np.sin(azmax)) - t1 = t0 + 2 * dazdt / scan_accel - tvec = np.linspace(t0, t1, nstep, endpoint=True)[1:] - azvec = azmax + (tvec - t0) * dazdt - 0.5 * scan_accel * (tvec - t0) ** 2 - all_t.append(tvec[:-1]) - all_az.append(azvec[:-1]) - all_flags.append( - np.zeros(tvec.size - 1, dtype=np.uint8) | self.LEFTRIGHT_TURNAROUND - ) - t = t1 - - # right-to-left - tvec = [] azvec = [] t0 = t - if self._sinc_modulation: + if self._cosecant_modulation: t1 = t0 + (np.cos(azmin) - np.cos(azmax)) / base_rate tvec = np.linspace(t0, t1, nstep, endpoint=True) - azvec = np.arccos(np.cos(azmax) - base_rate * t0 + base_rate * tvec) + azvec = np.arccos(np.cos(azmin) - base_rate * (tvec-t0)) + azvec += np.pi else: # Constant scanning rate, only requires two data points - t1 = t0 + (np.cos(azmin) - np.cos(azmax)) / base_rate - tvec = np.linspace(t0, t1, nstep, endpoint=True) - azvec = np.arccos(np.cos(azmax) - base_rate * t0 + base_rate * tvec) + t1 = t0 + (azmax - azmin) / base_rate + tvec = np.array([t0, t1]) + azvec = np.array([azmin, azmax]) all_t.append(np.array(tvec)) all_az.append(np.array(azvec)) - all_flags.append(np.zeros(tvec.size, dtype=np.uint8) | self.RIGHTLEFT_SCAN) + all_flags.append(np.zeros(tvec.size, dtype=np.uint8) | self.LEFTRIGHT_SCAN) t = t1 - # turnaround - - t0 = t - if self._sinc_modulation: - dazdt = base_rate / np.abs(np.sin(azmin)) - else: - dazdt = base_rate / np.abs(np.sin(azmin)) - t1 = t0 + 2 * dazdt / scan_accel - tvec = np.linspace(t0, t1, nstep, endpoint=True)[1:] - azvec = azmin - (tvec - t0) * dazdt + 0.5 * scan_accel * (tvec - t0) ** 2 - all_t.append(tvec) - all_az.append(azvec) - all_flags.append( - np.zeros(tvec.size, dtype=np.uint8) | self.RIGHTLEFT_TURNAROUND - ) - # Concatenate tvec = np.hstack(all_t) azvec = np.hstack(all_az) flags = np.hstack(all_flags) + # Limit azimuth to [-2pi, 2pi] but do not + # introduce discontinuities with modulo. + + if np.amin(azvec) < -2 * np.pi: + azvec += 2 * np.pi + if np.amax(azvec) > 2 * np.pi: + azvec -= 2 * np.pi + + if self._cosecant_modulation and self._azmin_ces > np.pi: + # We always simulate a rising cosecant scan and then + # mirror it if necessary + azvec += np.pi + + # Store the scan range. We use the high resolution azimuth so the + # actual sampling rate will not change the range. + + self.update_scan_range(azvec, self._el_ces) + # Now interpolate the simulated scan to timestamps times = self._CES_start + np.arange(samples) / self._rate tmin, tmax = tvec[0], tvec[-1] tdelta = tmax - tmin - self._az = np.interp((times - tmin) % tdelta, tvec - tmin, azvec) - if self._sinc_modulation and self._azmin > np.pi: - # We always simulate a rising sinc scan and then - # mirror it if necessary - self._az += np.pi + az_sample = np.interp((times - tmin) % tdelta, tvec - tmin, azvec) + + el_sample = np.zeros_like(az_sample) + self._el_ces + if self._el_mod_rate != 0: + self.oscillate_el(times, az_sample, el_sample) + if self._el_mod_step != 0: + self.step_el(times, az_sample, el_sample) + + offset = self._times.size + self._times = np.hstack([self._times, times]) + self._az = np.hstack([self._az, az_sample]) + self._el = np.hstack([self._el, el_sample]) ind = np.searchsorted(tvec - tmin, (times - tmin) % tdelta) ind[ind == tvec.size] = tvec.size - 1 - self._commonflags = flags[ind] + self._commonflags = np.hstack([self._commonflags, flags[ind]]).astype(np.uint8) # Subscan start indices - daz = np.diff(self._az) - starts = np.hstack( - [ - [0], - np.argwhere(np.logical_and(daz[:-1] < 0, daz[1:] > 0)).ravel() + 2, - [samples], - ] - ) - turnflags = self._commonflags & self.TURNAROUND + turnflags = flags[ind] & self.TURNAROUND self._stable_starts = ( np.argwhere(np.logical_and(turnflags[:-1] != 0, turnflags[1:] == 0)).ravel() + 1 @@ -567,20 +1581,12 @@ def simulate_scan(self, samples): ) if turnflags[-1] == 0: self._stable_stops = np.hstack([self._stable_stops, [samples]]) + self._stable_starts += offset + self._stable_stops += offset - sizes = np.diff(starts) - if np.sum(sizes) != samples: - raise RuntimeError("Subscans do not match samples") - - # Store the scan range + self._CES_stop = self._times[-1] - self._az %= 2 * np.pi - self._min_az = np.amin(self._az) - self._max_az = np.amax(self._az) - self._min_el = self._el - self._max_el = self._el - - return sizes, starts[:-1] + return samples @function_timer def translate_pointing(self): @@ -605,11 +1611,17 @@ def translate_pointing(self): # Remember that the azimuth is measured clockwise and the # longitude counter-clockwise my_azelquats = qa.from_angles( - np.pi / 2 - np.ones(my_nsamp) * self._el, + np.pi / 2 - self._el[my_ind], -(self._az[my_ind]), np.zeros(my_nsamp), IAU=False, ) + + if self._boresight_angle != 0: + zaxis = np.array([0, 0, 1.0]) + rot = qa.rotation(zaxis, self._boresight_angle) + my_azelquats = qa.mult(my_azelquats, rot) + azelquats = None if self._mpicomm is None: azelquats = my_azelquats @@ -628,6 +1640,7 @@ def translate_pointing(self): quats = my_quats else: quats = np.vstack(self._mpicomm.allgather(my_quats)) + self._boresight = quats del my_quats return @@ -642,7 +1655,9 @@ def crop_vectors(self): offset, n = self.local_samples ind = slice(offset, offset + n) + self._times = self.cache.put("times", self._times[ind], replace=True) self._az = self.cache.put("az", self._az[ind]) + self._el = self.cache.put("el", self._el[ind]) self._commonflags = self.cache.put( "common_flags", self._commonflags[ind], replace=True ) @@ -720,38 +1735,12 @@ def _get_coord_quat(self, t): X = (xvec[1] + yvec[0]) / 4 Y = (xvec[2] + zvec[0]) / 4 Z = (yvec[2] + zvec[1]) / 4 - """ - if np.abs(X) < 1e-6 and np.abs(Y) < 1e-6: - # Avoid dividing with small numbers - c = .5 * np.sqrt(1 - xvec[0] + yvec[1] - zvec[2]) - d = np.sqrt(c**2 + .5 * (zvec[2] - yvec[1])) - b = np.sqrt(.5 * (1 - zvec[2]) - c**2) - a = np.sqrt(1 - b**2 - c**2 - d**2) - else: - """ d = np.sqrt(np.abs(Y * Z / X)) # Choose positive root c = d * X / Y b = X / c a = (xvec[1] / 2 - b * c) / d # qarray has the scalar part as the last index quat = qa.norm(np.array([b, c, d, a])) - """ - # DEBUG begin - errors = np.array( - [ - np.dot(qa.rotate(quat, [1, 0, 0]), xvec), - np.dot(qa.rotate(quat, [0, 1, 0]), yvec), - np.dot(qa.rotate(quat, [0, 0, 1]), zvec), - ] - ) - errors[errors > 1] = 1 - errors = np.degrees(np.arccos(errors)) - if np.any(errors > 1) or np.any(np.isnan(errors)): - raise RuntimeError( - "Quaternion is not right: ({}), ({} {} {})" "".format(errors, X, Y, Z) - ) - # DEBUG end - """ return quat @function_timer @@ -818,9 +1807,7 @@ def _put_hwp_angle(self, start, flags): return def _get_times(self, start, n): - start_abs = self.local_samples[0] + start - start_time = self._firsttime + float(start_abs) / self._rate - return start_time + np.arange(n) / self._rate + return self._times[start : start + n] def _put_times(self, start, stamps): raise RuntimeError("cannot write timestamps to simulated data streams") @@ -874,6 +1861,33 @@ def read_boresight_az(self, local_start=0, n=0): ) return self._az[local_start : local_start + n] + @function_timer + def read_boresight_el(self, local_start=0, n=0): + """Read the boresight elevation. + + Args: + local_start (int): the sample offset relative to the first locally + assigned sample. + n (int): the number of samples to read. If zero, read to end. + + Returns: + (array): a numpy array containing the timestamps. + """ + if n == 0: + n = self.local_samples[1] - local_start + if self.local_samples[1] <= 0: + raise RuntimeError( + "cannot read boresight elevation - process " + "has no assigned local samples" + ) + if (local_start < 0) or (local_start + n > self.local_samples[1]): + raise ValueError( + "local sample range {} - {} is invalid".format( + local_start, local_start + n - 1 + ) + ) + return self._el[local_start : local_start + n] + @function_timer def _get_pntg(self, detector, start, n, azel=False): # FIXME: this is where we will apply atmospheric refraction and @@ -920,4 +1934,4 @@ def _get_velocity(self, start, n): def _put_velocity(self, start, vel): raise RuntimeError("cannot write data to simulated velocity") - return + return \ No newline at end of file From 0d2a0b2e21b4eee8a804ae7bb183eaf6a77795bf Mon Sep 17 00:00:00 2001 From: Stefano Mandelli Date: Mon, 2 Aug 2021 12:05:09 +0200 Subject: [PATCH 02/14] Fixed the simulation files --- cookbook/Simulation/strip_file_0.par | 12 ++++--- cookbook/Simulation/strip_pipeline.py | 50 +++++++-------------------- 2 files changed, 20 insertions(+), 42 deletions(-) mode change 100644 => 100755 cookbook/Simulation/strip_pipeline.py diff --git a/cookbook/Simulation/strip_file_0.par b/cookbook/Simulation/strip_file_0.par index 9e4ee85b..359e798e 100644 --- a/cookbook/Simulation/strip_file_0.par +++ b/cookbook/Simulation/strip_file_0.par @@ -6,10 +6,14 @@ Test_scan 2022,1,1,1,0,0 -sample_rate 20 +-el_mod_rate +0.01 +-el_mod_amplitude +1.0 -ces_azmin -0 +1 -ces_azmax -0 +359 -ces_el 70 -scan @@ -30,11 +34,11 @@ None 128 -debug -outdir -out_directory_prova +feb_ -start_mc 0 -nsimu -50 +10 -cache_name atm_ -atm_cache diff --git a/cookbook/Simulation/strip_pipeline.py b/cookbook/Simulation/strip_pipeline.py old mode 100644 new mode 100755 index c91345c9..307bccfc --- a/cookbook/Simulation/strip_pipeline.py +++ b/cookbook/Simulation/strip_pipeline.py @@ -114,6 +114,8 @@ def main(): parser.add_argument("-ces_start_time", default="2022,9,1,0,0,0", required=True) parser.add_argument("-ces_stop_time", default="2022,9,1,1,0,0", required=True) parser.add_argument("-sample_rate", required=True, type=int, help="Frequency sample rate [Hz]") + parser.add_argument("-el_mod_rate", required=False, default=0, type=np.float, help="If non-zero, observing elevation will be continuously modulated during the science scan. [Hz]") + parser.add_argument("-el_mod_amplitude", required=False, default=1, type=np.float, help="Range of elevation modulation when `el_mod_rate` is non-zero. [degrees]") # Scan parameters parser.add_argument("-ces_azmin", default=0, type=int) @@ -150,37 +152,6 @@ def main(): parser.add_argument("-freq", default=43.0, type=float) - # Arguments of the simulation - # class args: - # sample_rate=20 - # focalplane=None - # ces_name = "Test1" - # scan="spin" - # subscan="spin_1hour" - # ces_stop_time = datetime(2022, 9, 2, 0, 0, 0).timestamp() - # ces_start_time = datetime(2022, 9, 1, 0, 0, 0).timestamp() - # site_name= "Tenerife" - # site_lon = "-16:31:00" - # site_lat = "28:20:00" - # site_alt = 2390.0 - # coord = "C" - # ces_azmin = 0 - # ces_azmax = 0 - # ces_el = 70 - # scanrate = 1.0 - # scan_accel = 1000 - # CES_start = None - # NSIDE=128 - # debug=True - # outdir="out_directory" - - # start_mc = 0 - # nsimu = 1 - # cache_name = "atm_" - # atm_cache="atm_cache_" - # verbose = 0 - # freq = 43 # GHz - # definition of the logger, the global timer and the environment log = Logger.get() gt = GlobalTimers.get() @@ -234,7 +205,7 @@ def main(): comm.comm_group, fp.detquats, totsamples, - detranks=ndetrank, + # detranks=ndetrank, firsttime=start_time, rate=args.sample_rate, site_lon=args.site_lon, @@ -243,9 +214,12 @@ def main(): azmin=args.ces_azmin, azmax=args.ces_azmax, el=args.ces_el, + el_mod_rate=0.01, + el_mod_amplitude=1.0, + el_mod_sine=True, scanrate=args.scanrate, scan_accel=args.scan_accel, - sinc_modulation=None, + cosecant_modulation=True, CES_start=None, CES_stop=None, sun_angle_min=None, @@ -310,7 +284,7 @@ def main(): for i in obs['tod'].local_dets: p = obs['tod'].cache.reference("pixels_{}".format(i)) poin[i]=p - np.save(args.outdir+'/pointings', poin) + np.savez_compressed(args.outdir+'/pointings', poin) # Atmospheric MC simulation @@ -363,10 +337,10 @@ def main(): atm.exec(data) if comm.comm_world is not None: - comm.comm_world.barrier() + comm.comm_world.barrier() tmr.stop() if comm.world_rank == 0: - tmr.report("Atmosphere simulation") + tmr.report("Atmosphere simulation") if comm.world_rank == 0: @@ -484,8 +458,8 @@ def main(): tods = {} for i in obs['tod'].local_dets: t = obs['tod'].cache.reference("atm_{}".format(i)) - tods[i]=t - np.save(outpath+'/tod_mc_'+str(mc), tods) + tods[i]=np.float32(t) + np.savez_compressed(outpath+'/tod_mc_'+str(mc), tods) timer_MC_iter.stop() timer_MC_iter.report("Monte Carlo iteration completed in ") From 6a2ec1f01f2f6adb78c7d028eef325e28d8b0eaa Mon Sep 17 00:00:00 2001 From: Stefano Mandelli Date: Fri, 24 Sep 2021 15:24:36 +0200 Subject: [PATCH 03/14] Modified the scanning strategy --- src/pycal/todmap/sim_tod.py | 91 ++++++------------------------------- 1 file changed, 14 insertions(+), 77 deletions(-) diff --git a/src/pycal/todmap/sim_tod.py b/src/pycal/todmap/sim_tod.py index 51d9244d..091c60d2 100644 --- a/src/pycal/todmap/sim_tod.py +++ b/src/pycal/todmap/sim_tod.py @@ -1476,69 +1476,26 @@ def simulate_scan(self, samples): elif azmax < azmin: azmax += 2 * np.pi t = self._CES_start - all_t = [] - all_az = [] - all_flags = [] - # translate scan rate from sky to mount coordinates - base_rate = self._scanrate / np.cos(self._el_ces) - # scan acceleration is already in the mount coordinates - scan_accel = self._scan_accel - # left-to-right // OK + base_rate = self._scanrate / np.cos(self._el_ces) tvec = [] azvec = [] t0 = t - if self._cosecant_modulation: - t1 = t0 + (np.cos(azmin) - np.cos(azmax)) / base_rate - tvec = np.linspace(t0, t1, nstep, endpoint=True) - azvec = np.arccos(np.cos(azmin) - base_rate * (tvec-t0)) - else: - # Constant scanning rate, only requires two data points - t1 = t0 + (np.cos(azmin) - np.cos(azmax)) / base_rate - tvec = np.linspace(t0, t1, nstep, endpoint=True) - azvec = np.arccos(np.cos(azmin) + base_rate * t0 - base_rate * tvec) - all_t.append(np.array(tvec)) - all_az.append(np.array(azvec)) - all_flags.append(np.zeros(tvec.size, dtype=np.uint8) | self.LEFTRIGHT_SCAN) - t = t1 - tvec = [] - azvec = [] - t0 = t - if self._cosecant_modulation: - t1 = t0 + (np.cos(azmin) - np.cos(azmax)) / base_rate - tvec = np.linspace(t0, t1, nstep, endpoint=True) - azvec = np.arccos(np.cos(azmin) - base_rate * (tvec-t0)) - azvec += np.pi - else: - # Constant scanning rate, only requires two data points - t1 = t0 + (azmax - azmin) / base_rate - tvec = np.array([t0, t1]) - azvec = np.array([azmin, azmax]) - all_t.append(np.array(tvec)) - all_az.append(np.array(azvec)) - all_flags.append(np.zeros(tvec.size, dtype=np.uint8) | self.LEFTRIGHT_SCAN) - t = t1 - - # Concatenate - - tvec = np.hstack(all_t) - azvec = np.hstack(all_az) - flags = np.hstack(all_flags) - - # Limit azimuth to [-2pi, 2pi] but do not - # introduce discontinuities with modulo. - - if np.amin(azvec) < -2 * np.pi: - azvec += 2 * np.pi - if np.amax(azvec) > 2 * np.pi: - azvec -= 2 * np.pi - - if self._cosecant_modulation and self._azmin_ces > np.pi: - # We always simulate a rising cosecant scan and then - # mirror it if necessary - azvec += np.pi + + t1 = t0 + (np.cos(azmin) - np.cos(azmax)) / base_rate + tvec = np.linspace(t0, t1, nstep, endpoint=True) + az = np.mod(np.cos(azmin) - np.mod(base_rate * tvec, 2*np.pi), 2*np.pi) + modulation = np.abs(1/np.sin(az)) + modulation[modulation>2] = 2.0 + azvec = np.array([]) + azvec = np.append(azvec, 0.0) + + for i in range(1, len(tvec)): + az_new = az[i-1] + modulation[i] * np.deg2rad(1)/np.sin(np.deg2rad(70)) * ((t1 - t0)/nstep) + azvec = np.append(azvec, az_new) + azvec = np.mod(azvec, 2.0*np.pi) # Store the scan range. We use the high resolution azimuth so the # actual sampling rate will not change the range. @@ -1564,27 +1521,7 @@ def simulate_scan(self, samples): self._el = np.hstack([self._el, el_sample]) ind = np.searchsorted(tvec - tmin, (times - tmin) % tdelta) ind[ind == tvec.size] = tvec.size - 1 - self._commonflags = np.hstack([self._commonflags, flags[ind]]).astype(np.uint8) - - # Subscan start indices - - turnflags = flags[ind] & self.TURNAROUND - self._stable_starts = ( - np.argwhere(np.logical_and(turnflags[:-1] != 0, turnflags[1:] == 0)).ravel() - + 1 - ) - if turnflags[0] == 0: - self._stable_starts = np.hstack([[0], self._stable_starts]) - self._stable_stops = ( - np.argwhere(np.logical_and(turnflags[:-1] == 0, turnflags[1:] != 0)).ravel() - + 2 - ) - if turnflags[-1] == 0: - self._stable_stops = np.hstack([self._stable_stops, [samples]]) - self._stable_starts += offset - self._stable_stops += offset - self._CES_stop = self._times[-1] return samples From e8553df10cd6e29cff96e2ed46948333fe59db3e Mon Sep 17 00:00:00 2001 From: Stefano Mandelli Date: Thu, 7 Oct 2021 13:09:45 +0200 Subject: [PATCH 04/14] Spin Scan Simulation modified: src/pycal/todmap/sim_det_atm.py modified: src/pycal/todmap/sim_tod.py --- cookbook/Focal_Plane.ipynb | 74 ++++---- cookbook/skypatch.ipynb | 290 ++++++++++++++++---------------- src/pycal/todmap/sim_det_atm.py | 18 +- src/pycal/todmap/sim_tod.py | 257 +++++++++++++++++++++++----- 4 files changed, 401 insertions(+), 238 deletions(-) diff --git a/cookbook/Focal_Plane.ipynb b/cookbook/Focal_Plane.ipynb index 8dd477c2..fdae00a7 100644 --- a/cookbook/Focal_Plane.ipynb +++ b/cookbook/Focal_Plane.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 7, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -52,7 +52,7 @@ }, { "cell_type": "code", - "execution_count": 124, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -66,7 +66,7 @@ " if comm.comm_world is None or comm.comm_world.rank == 0:\n", " if args.focalplane is None:\n", " detector_data = {}\n", - " with open(r'/home/algebrato/.julia/dev/Stripeline/instrumentdb/strip_focal_plane.yaml') as file:\n", + " with open(r'/opt/scratch/pycal_simulations/strip_focal_plane.yaml') as file:\n", " focalplane=yaml.full_load(file)\n", "\n", " detecotrs=focalplane['horns'].keys()\n", @@ -117,7 +117,7 @@ }, { "cell_type": "code", - "execution_count": 125, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -128,7 +128,7 @@ " Source code version = 0.0.0\n", " Logging level = INFO\n", " Handling enabled for 0 signals:\n", - " Max threads = 12\n", + " Max threads = 16\n", " MPI build enabled\n", " MPI runtime enabled\n", ">\n" @@ -161,7 +161,7 @@ }, { "cell_type": "code", - "execution_count": 126, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -194,7 +194,7 @@ }, { "cell_type": "code", - "execution_count": 127, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -210,7 +210,16 @@ }, { "cell_type": "code", - "execution_count": 98, + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -219,7 +228,7 @@ "Text(0, 0.5, '$u$ [deg]')" ] }, - "execution_count": 98, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" }, @@ -237,9 +246,8 @@ } ], "source": [ - "with open(r'/home/algebrato/.julia/dev/Stripeline/instrumentdb/strip_focal_plane.yaml') as file:\n", + "with open(r'/opt/scratch/pycal_simulations/strip_focal_plane.yaml') as file:\n", " focalplane=yaml.full_load(file)\n", - "\n", "detecotrs=focalplane['horns'].keys()\n", "\n", "plt.figure(figsize=(12, 10))\n", @@ -261,7 +269,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -272,7 +280,7 @@ }, { "cell_type": "code", - "execution_count": 88, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -281,25 +289,14 @@ }, { "cell_type": "code", - "execution_count": 92, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 4.87896854, 98.01660455])" - ] - }, - "execution_count": 92, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [] }, { "cell_type": "code", - "execution_count": 91, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -316,18 +313,19 @@ }, { "cell_type": "code", - "execution_count": 87, + "execution_count": 20, "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "array([ 2.63633104, 358.45800385])" - ] - }, - "execution_count": 87, - "metadata": {}, - "output_type": "execute_result" + "ename": "NameError", + "evalue": "name 'quat2' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrad2deg\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mqa\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_position\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mquat2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mNameError\u001b[0m: name 'quat2' is not defined" + ] } ], "source": [ @@ -336,7 +334,7 @@ }, { "cell_type": "code", - "execution_count": 99, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -384,7 +382,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.2" + "version": "3.9.5" } }, "nbformat": 4, diff --git a/cookbook/skypatch.ipynb b/cookbook/skypatch.ipynb index 70afc91e..f85cb144 100644 --- a/cookbook/skypatch.ipynb +++ b/cookbook/skypatch.ipynb @@ -52,11 +52,11 @@ " Source code version = 0.0.0\n", " Logging level = INFO\n", " Handling enabled for 0 signals:\n", - " Max threads = 12\n", + " Max threads = 16\n", " MPI build enabled\n", " MPI runtime enabled\n", ">\n", - "Running with 1 processes at 2020-12-12 17:32:57.327099\n" + "Running with 1 processes at 2021-09-27 09:23:57.482296\n" ] } ], @@ -108,9 +108,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "data.obs" ] @@ -128,7 +139,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -148,15 +159,25 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "T0=287.11588813218253\n", + "W =3.257842804471715\n", + "W_dir=-1.7084882469343883\n" + ] + } + ], "source": [ "# H20 in atmpsphere\n", "pwv=weather.pwv\n", "ice=weather.ice_water\n", "liq=weather.liquid_water\n", - "hum=weather.humidity\n", + "#hum=weather.humidity\n", "\n", "# Temperaure and pressure\n", "t0=weather.surface_temperature\n", @@ -176,7 +197,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 27, "metadata": {}, "outputs": [], "source": [ @@ -185,7 +206,7 @@ "elmin=(60/180)*np.pi\n", "elmax=(80/180)*np.pi\n", "tmin=0.0\n", - "tmax_sim=1000.0\n", + "tmax_sim=5000.0\n", "tmax_tod=tmax_sim\n", "lmin_center=0.01\n", "lmin_sigma=0.001\n", @@ -226,7 +247,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -237,21 +258,11 @@ " Source code version = 0.0.0\n", " Logging level = INFO\n", " Handling enabled for 0 signals:\n", - " Max threads = 12\n", + " Max threads = 16\n", " MPI build enabled\n", " MPI runtime enabled\n", - ">\n" - ] - }, - { - "ename": "NameError", - "evalue": "name 'tmax_tod' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0menv\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mpycal\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mEnvironment\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0menv\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtmax_tod\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m450\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;31mNameError\u001b[0m: name 'tmax_tod' is not defined" + ">\n", + "11.11111111111111\n" ] } ], @@ -271,21 +282,9 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 10, "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'tmax_tod' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0mfs_hz\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m20\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;31m# timestamp in seconds (now we simulate 1h of observations)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0mtimes\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlinspace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mtmax_tod\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtmax_tod\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mfs_hz\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0;31m# Now we perform a really dummy CES at 72deg of elevation\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mNameError\u001b[0m: name 'tmax_tod' is not defined" - ] - } - ], + "outputs": [], "source": [ "# samples frequency\n", "fs_hz=20\n", @@ -306,26 +305,14 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 11, "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'times' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 11\u001b[0m \u001b[0mtheta_i\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 12\u001b[0m \u001b[0mtheta_f\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m90\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 13\u001b[0;31m \u001b[0mbor\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m70\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpi\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m150\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mtimes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m70\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m180\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpi\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 14\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 15\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mdetecotrs\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mNameError\u001b[0m: name 'times' is not defined" - ] - } - ], + "outputs": [], "source": [ "# The LSPE/STRIP Focalplane\n", "\n", "import yaml\n", - "with open(r'/home/algebrato/.julia/dev/Stripeline/instrumentdb/strip_focal_plane.yaml') as file:\n", + "with open(r'/opt/scratch/pycal_simulations/strip_focal_plane.yaml') as file:\n", " focalplane=yaml.full_load(file)\n", "\n", "detecotrs=focalplane['horns'].keys()\n", @@ -356,7 +343,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -365,7 +352,7 @@ "dict_keys(['I0', 'I1', 'I2', 'I3', 'I4', 'I5', 'I6', 'Y0', 'Y1', 'Y2', 'Y3', 'Y4', 'Y5', 'Y6', 'O0', 'O1', 'O2', 'O3', 'O4', 'O5', 'O6', 'R0', 'R1', 'R2', 'R3', 'R4', 'R5', 'R6', 'V0', 'V1', 'V2', 'V3', 'V4', 'V5', 'V6', 'B0', 'B1', 'B2', 'B3', 'B4', 'B5', 'B6', 'G0', 'G1', 'G2', 'G3', 'G4', 'G5', 'G6', 'W1', 'W2', 'W3', 'W4', 'W5', 'W6'])" ] }, - "execution_count": 7, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -389,7 +376,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -398,7 +385,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -408,18 +395,18 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 15, "metadata": {}, "outputs": [ { "ename": "TypeError", - "evalue": "observe(): incompatible function arguments. The following argument types are supported:\n 1. (self: pycal._libcal.AtmSim, times: buffer, az: buffer, el: buffer, tod: buffer, fixed_r: float = -1.0) -> int\n\nInvoked with: , array([ 0. , 0.1001001 , 0.2002002 , 0.3003003 ,\n 0.4004004 , 0.5005005 , 0.6006006 , 0.7007007 ,\n 0.8008008 , 0.9009009 , 1.001001 , 1.1011011 ,\n 1.2012012 , 1.3013013 , 1.4014014 , 1.5015015 ,\n 1.6016016 , 1.7017017 , 1.8018018 , 1.9019019 ,\n 2.002002 , 2.1021021 , 2.2022022 , 2.3023023 ,\n 2.4024024 , 2.5025025 , 2.6026026 , 2.7027027 ,\n 2.8028028 , 2.9029029 , 3.003003 , 3.1031031 ,\n 3.2032032 , 3.3033033 , 3.4034034 , 3.5035035 ,\n 3.6036036 , 3.7037037 , 3.8038038 , 3.9039039 ,\n 4.004004 , 4.1041041 , 4.2042042 , 4.3043043 ,\n 4.4044044 , 4.5045045 , 4.6046046 , 4.7047047 ,\n 4.8048048 , 4.9049049 , 5.00500501, 5.10510511,\n 5.20520521, 5.30530531, 5.40540541, 5.50550551,\n 5.60560561, 5.70570571, 5.80580581, 5.90590591,\n 6.00600601, 6.10610611, 6.20620621, 6.30630631,\n 6.40640641, 6.50650651, 6.60660661, 6.70670671,\n 6.80680681, 6.90690691, 7.00700701, 7.10710711,\n 7.20720721, 7.30730731, 7.40740741, 7.50750751,\n 7.60760761, 7.70770771, 7.80780781, 7.90790791,\n 8.00800801, 8.10810811, 8.20820821, 8.30830831,\n 8.40840841, 8.50850851, 8.60860861, 8.70870871,\n 8.80880881, 8.90890891, 9.00900901, 9.10910911,\n 9.20920921, 9.30930931, 9.40940941, 9.50950951,\n 9.60960961, 9.70970971, 9.80980981, 9.90990991,\n 10.01001001, 10.11011011, 10.21021021, 10.31031031,\n 10.41041041, 10.51051051, 10.61061061, 10.71071071,\n 10.81081081, 10.91091091, 11.01101101, 11.11111111,\n 11.21121121, 11.31131131, 11.41141141, 11.51151151,\n 11.61161161, 11.71171171, 11.81181181, 11.91191191,\n 12.01201201, 12.11211211, 12.21221221, 12.31231231,\n 12.41241241, 12.51251251, 12.61261261, 12.71271271,\n 12.81281281, 12.91291291, 13.01301301, 13.11311311,\n 13.21321321, 13.31331331, 13.41341341, 13.51351351,\n 13.61361361, 13.71371371, 13.81381381, 13.91391391,\n 14.01401401, 14.11411411, 14.21421421, 14.31431431,\n 14.41441441, 14.51451451, 14.61461461, 14.71471471,\n 14.81481481, 14.91491491, 15.01501502, 15.11511512,\n 15.21521522, 15.31531532, 15.41541542, 15.51551552,\n 15.61561562, 15.71571572, 15.81581582, 15.91591592,\n 16.01601602, 16.11611612, 16.21621622, 16.31631632,\n 16.41641642, 16.51651652, 16.61661662, 16.71671672,\n 16.81681682, 16.91691692, 17.01701702, 17.11711712,\n 17.21721722, 17.31731732, 17.41741742, 17.51751752,\n 17.61761762, 17.71771772, 17.81781782, 17.91791792,\n 18.01801802, 18.11811812, 18.21821822, 18.31831832,\n 18.41841842, 18.51851852, 18.61861862, 18.71871872,\n 18.81881882, 18.91891892, 19.01901902, 19.11911912,\n 19.21921922, 19.31931932, 19.41941942, 19.51951952,\n 19.61961962, 19.71971972, 19.81981982, 19.91991992,\n 20.02002002, 20.12012012, 20.22022022, 20.32032032,\n 20.42042042, 20.52052052, 20.62062062, 20.72072072,\n 20.82082082, 20.92092092, 21.02102102, 21.12112112,\n 21.22122122, 21.32132132, 21.42142142, 21.52152152,\n 21.62162162, 21.72172172, 21.82182182, 21.92192192,\n 22.02202202, 22.12212212, 22.22222222, 22.32232232,\n 22.42242242, 22.52252252, 22.62262262, 22.72272272,\n 22.82282282, 22.92292292, 23.02302302, 23.12312312,\n 23.22322322, 23.32332332, 23.42342342, 23.52352352,\n 23.62362362, 23.72372372, 23.82382382, 23.92392392,\n 24.02402402, 24.12412412, 24.22422422, 24.32432432,\n 24.42442442, 24.52452452, 24.62462462, 24.72472472,\n 24.82482482, 24.92492492, 25.02502503, 25.12512513,\n 25.22522523, 25.32532533, 25.42542543, 25.52552553,\n 25.62562563, 25.72572573, 25.82582583, 25.92592593,\n 26.02602603, 26.12612613, 26.22622623, 26.32632633,\n 26.42642643, 26.52652653, 26.62662663, 26.72672673,\n 26.82682683, 26.92692693, 27.02702703, 27.12712713,\n 27.22722723, 27.32732733, 27.42742743, 27.52752753,\n 27.62762763, 27.72772773, 27.82782783, 27.92792793,\n 28.02802803, 28.12812813, 28.22822823, 28.32832833,\n 28.42842843, 28.52852853, 28.62862863, 28.72872873,\n 28.82882883, 28.92892893, 29.02902903, 29.12912913,\n 29.22922923, 29.32932933, 29.42942943, 29.52952953,\n 29.62962963, 29.72972973, 29.82982983, 29.92992993,\n 30.03003003, 30.13013013, 30.23023023, 30.33033033,\n 30.43043043, 30.53053053, 30.63063063, 30.73073073,\n 30.83083083, 30.93093093, 31.03103103, 31.13113113,\n 31.23123123, 31.33133133, 31.43143143, 31.53153153,\n 31.63163163, 31.73173173, 31.83183183, 31.93193193,\n 32.03203203, 32.13213213, 32.23223223, 32.33233233,\n 32.43243243, 32.53253253, 32.63263263, 32.73273273,\n 32.83283283, 32.93293293, 33.03303303, 33.13313313,\n 33.23323323, 33.33333333, 33.43343343, 33.53353353,\n 33.63363363, 33.73373373, 33.83383383, 33.93393393,\n 34.03403403, 34.13413413, 34.23423423, 34.33433433,\n 34.43443443, 34.53453453, 34.63463463, 34.73473473,\n 34.83483483, 34.93493493, 35.03503504, 35.13513514,\n 35.23523524, 35.33533534, 35.43543544, 35.53553554,\n 35.63563564, 35.73573574, 35.83583584, 35.93593594,\n 36.03603604, 36.13613614, 36.23623624, 36.33633634,\n 36.43643644, 36.53653654, 36.63663664, 36.73673674,\n 36.83683684, 36.93693694, 37.03703704, 37.13713714,\n 37.23723724, 37.33733734, 37.43743744, 37.53753754,\n 37.63763764, 37.73773774, 37.83783784, 37.93793794,\n 38.03803804, 38.13813814, 38.23823824, 38.33833834,\n 38.43843844, 38.53853854, 38.63863864, 38.73873874,\n 38.83883884, 38.93893894, 39.03903904, 39.13913914,\n 39.23923924, 39.33933934, 39.43943944, 39.53953954,\n 39.63963964, 39.73973974, 39.83983984, 39.93993994,\n 40.04004004, 40.14014014, 40.24024024, 40.34034034,\n 40.44044044, 40.54054054, 40.64064064, 40.74074074,\n 40.84084084, 40.94094094, 41.04104104, 41.14114114,\n 41.24124124, 41.34134134, 41.44144144, 41.54154154,\n 41.64164164, 41.74174174, 41.84184184, 41.94194194,\n 42.04204204, 42.14214214, 42.24224224, 42.34234234,\n 42.44244244, 42.54254254, 42.64264264, 42.74274274,\n 42.84284284, 42.94294294, 43.04304304, 43.14314314,\n 43.24324324, 43.34334334, 43.44344344, 43.54354354,\n 43.64364364, 43.74374374, 43.84384384, 43.94394394,\n 44.04404404, 44.14414414, 44.24424424, 44.34434434,\n 44.44444444, 44.54454454, 44.64464464, 44.74474474,\n 44.84484484, 44.94494494, 45.04504505, 45.14514515,\n 45.24524525, 45.34534535, 45.44544545, 45.54554555,\n 45.64564565, 45.74574575, 45.84584585, 45.94594595,\n 46.04604605, 46.14614615, 46.24624625, 46.34634635,\n 46.44644645, 46.54654655, 46.64664665, 46.74674675,\n 46.84684685, 46.94694695, 47.04704705, 47.14714715,\n 47.24724725, 47.34734735, 47.44744745, 47.54754755,\n 47.64764765, 47.74774775, 47.84784785, 47.94794795,\n 48.04804805, 48.14814815, 48.24824825, 48.34834835,\n 48.44844845, 48.54854855, 48.64864865, 48.74874875,\n 48.84884885, 48.94894895, 49.04904905, 49.14914915,\n 49.24924925, 49.34934935, 49.44944945, 49.54954955,\n 49.64964965, 49.74974975, 49.84984985, 49.94994995,\n 50.05005005, 50.15015015, 50.25025025, 50.35035035,\n 50.45045045, 50.55055055, 50.65065065, 50.75075075,\n 50.85085085, 50.95095095, 51.05105105, 51.15115115,\n 51.25125125, 51.35135135, 51.45145145, 51.55155155,\n 51.65165165, 51.75175175, 51.85185185, 51.95195195,\n 52.05205205, 52.15215215, 52.25225225, 52.35235235,\n 52.45245245, 52.55255255, 52.65265265, 52.75275275,\n 52.85285285, 52.95295295, 53.05305305, 53.15315315,\n 53.25325325, 53.35335335, 53.45345345, 53.55355355,\n 53.65365365, 53.75375375, 53.85385385, 53.95395395,\n 54.05405405, 54.15415415, 54.25425425, 54.35435435,\n 54.45445445, 54.55455455, 54.65465465, 54.75475475,\n 54.85485485, 54.95495495, 55.05505506, 55.15515516,\n 55.25525526, 55.35535536, 55.45545546, 55.55555556,\n 55.65565566, 55.75575576, 55.85585586, 55.95595596,\n 56.05605606, 56.15615616, 56.25625626, 56.35635636,\n 56.45645646, 56.55655656, 56.65665666, 56.75675676,\n 56.85685686, 56.95695696, 57.05705706, 57.15715716,\n 57.25725726, 57.35735736, 57.45745746, 57.55755756,\n 57.65765766, 57.75775776, 57.85785786, 57.95795796,\n 58.05805806, 58.15815816, 58.25825826, 58.35835836,\n 58.45845846, 58.55855856, 58.65865866, 58.75875876,\n 58.85885886, 58.95895896, 59.05905906, 59.15915916,\n 59.25925926, 59.35935936, 59.45945946, 59.55955956,\n 59.65965966, 59.75975976, 59.85985986, 59.95995996,\n 60.06006006, 60.16016016, 60.26026026, 60.36036036,\n 60.46046046, 60.56056056, 60.66066066, 60.76076076,\n 60.86086086, 60.96096096, 61.06106106, 61.16116116,\n 61.26126126, 61.36136136, 61.46146146, 61.56156156,\n 61.66166166, 61.76176176, 61.86186186, 61.96196196,\n 62.06206206, 62.16216216, 62.26226226, 62.36236236,\n 62.46246246, 62.56256256, 62.66266266, 62.76276276,\n 62.86286286, 62.96296296, 63.06306306, 63.16316316,\n 63.26326326, 63.36336336, 63.46346346, 63.56356356,\n 63.66366366, 63.76376376, 63.86386386, 63.96396396,\n 64.06406406, 64.16416416, 64.26426426, 64.36436436,\n 64.46446446, 64.56456456, 64.66466466, 64.76476476,\n 64.86486486, 64.96496496, 65.06506507, 65.16516517,\n 65.26526527, 65.36536537, 65.46546547, 65.56556557,\n 65.66566567, 65.76576577, 65.86586587, 65.96596597,\n 66.06606607, 66.16616617, 66.26626627, 66.36636637,\n 66.46646647, 66.56656657, 66.66666667, 66.76676677,\n 66.86686687, 66.96696697, 67.06706707, 67.16716717,\n 67.26726727, 67.36736737, 67.46746747, 67.56756757,\n 67.66766767, 67.76776777, 67.86786787, 67.96796797,\n 68.06806807, 68.16816817, 68.26826827, 68.36836837,\n 68.46846847, 68.56856857, 68.66866867, 68.76876877,\n 68.86886887, 68.96896897, 69.06906907, 69.16916917,\n 69.26926927, 69.36936937, 69.46946947, 69.56956957,\n 69.66966967, 69.76976977, 69.86986987, 69.96996997,\n 70.07007007, 70.17017017, 70.27027027, 70.37037037,\n 70.47047047, 70.57057057, 70.67067067, 70.77077077,\n 70.87087087, 70.97097097, 71.07107107, 71.17117117,\n 71.27127127, 71.37137137, 71.47147147, 71.57157157,\n 71.67167167, 71.77177177, 71.87187187, 71.97197197,\n 72.07207207, 72.17217217, 72.27227227, 72.37237237,\n 72.47247247, 72.57257257, 72.67267267, 72.77277277,\n 72.87287287, 72.97297297, 73.07307307, 73.17317317,\n 73.27327327, 73.37337337, 73.47347347, 73.57357357,\n 73.67367367, 73.77377377, 73.87387387, 73.97397397,\n 74.07407407, 74.17417417, 74.27427427, 74.37437437,\n 74.47447447, 74.57457457, 74.67467467, 74.77477477,\n 74.87487487, 74.97497497, 75.07507508, 75.17517518,\n 75.27527528, 75.37537538, 75.47547548, 75.57557558,\n 75.67567568, 75.77577578, 75.87587588, 75.97597598,\n 76.07607608, 76.17617618, 76.27627628, 76.37637638,\n 76.47647648, 76.57657658, 76.67667668, 76.77677678,\n 76.87687688, 76.97697698, 77.07707708, 77.17717718,\n 77.27727728, 77.37737738, 77.47747748, 77.57757758,\n 77.67767768, 77.77777778, 77.87787788, 77.97797798,\n 78.07807808, 78.17817818, 78.27827828, 78.37837838,\n 78.47847848, 78.57857858, 78.67867868, 78.77877878,\n 78.87887888, 78.97897898, 79.07907908, 79.17917918,\n 79.27927928, 79.37937938, 79.47947948, 79.57957958,\n 79.67967968, 79.77977978, 79.87987988, 79.97997998,\n 80.08008008, 80.18018018, 80.28028028, 80.38038038,\n 80.48048048, 80.58058058, 80.68068068, 80.78078078,\n 80.88088088, 80.98098098, 81.08108108, 81.18118118,\n 81.28128128, 81.38138138, 81.48148148, 81.58158158,\n 81.68168168, 81.78178178, 81.88188188, 81.98198198,\n 82.08208208, 82.18218218, 82.28228228, 82.38238238,\n 82.48248248, 82.58258258, 82.68268268, 82.78278278,\n 82.88288288, 82.98298298, 83.08308308, 83.18318318,\n 83.28328328, 83.38338338, 83.48348348, 83.58358358,\n 83.68368368, 83.78378378, 83.88388388, 83.98398398,\n 84.08408408, 84.18418418, 84.28428428, 84.38438438,\n 84.48448448, 84.58458458, 84.68468468, 84.78478478,\n 84.88488488, 84.98498498, 85.08508509, 85.18518519,\n 85.28528529, 85.38538539, 85.48548549, 85.58558559,\n 85.68568569, 85.78578579, 85.88588589, 85.98598599,\n 86.08608609, 86.18618619, 86.28628629, 86.38638639,\n 86.48648649, 86.58658659, 86.68668669, 86.78678679,\n 86.88688689, 86.98698699, 87.08708709, 87.18718719,\n 87.28728729, 87.38738739, 87.48748749, 87.58758759,\n 87.68768769, 87.78778779, 87.88788789, 87.98798799,\n 88.08808809, 88.18818819, 88.28828829, 88.38838839,\n 88.48848849, 88.58858859, 88.68868869, 88.78878879,\n 88.88888889, 88.98898899, 89.08908909, 89.18918919,\n 89.28928929, 89.38938939, 89.48948949, 89.58958959,\n 89.68968969, 89.78978979, 89.88988989, 89.98998999,\n 90.09009009, 90.19019019, 90.29029029, 90.39039039,\n 90.49049049, 90.59059059, 90.69069069, 90.79079079,\n 90.89089089, 90.99099099, 91.09109109, 91.19119119,\n 91.29129129, 91.39139139, 91.49149149, 91.59159159,\n 91.69169169, 91.79179179, 91.89189189, 91.99199199,\n 92.09209209, 92.19219219, 92.29229229, 92.39239239,\n 92.49249249, 92.59259259, 92.69269269, 92.79279279,\n 92.89289289, 92.99299299, 93.09309309, 93.19319319,\n 93.29329329, 93.39339339, 93.49349349, 93.59359359,\n 93.69369369, 93.79379379, 93.89389389, 93.99399399,\n 94.09409409, 94.19419419, 94.29429429, 94.39439439,\n 94.49449449, 94.59459459, 94.69469469, 94.79479479,\n 94.89489489, 94.99499499, 95.0950951 , 95.1951952 ,\n 95.2952953 , 95.3953954 , 95.4954955 , 95.5955956 ,\n 95.6956957 , 95.7957958 , 95.8958959 , 95.995996 ,\n 96.0960961 , 96.1961962 , 96.2962963 , 96.3963964 ,\n 96.4964965 , 96.5965966 , 96.6966967 , 96.7967968 ,\n 96.8968969 , 96.996997 , 97.0970971 , 97.1971972 ,\n 97.2972973 , 97.3973974 , 97.4974975 , 97.5975976 ,\n 97.6976977 , 97.7977978 , 97.8978979 , 97.997998 ,\n 98.0980981 , 98.1981982 , 98.2982983 , 98.3983984 ,\n 98.4984985 , 98.5985986 , 98.6986987 , 98.7987988 ,\n 98.8988989 , 98.998999 , 99.0990991 , 99.1991992 ,\n 99.2992993 , 99.3993994 , 99.4994995 , 99.5995996 ,\n 99.6996997 , 99.7997998 , 99.8998999 , 100. ]), array([0. , 0.00017471, 0.00034942, 0.00052412, 0.00069883,\n 0.00087354, 0.00104825, 0.00122295, 0.00139766, 0.00157237,\n 0.00174708, 0.00192178, 0.00209649, 0.0022712 , 0.00244591,\n 0.00262061, 0.00279532, 0.00297003, 0.00314474, 0.00331945,\n 0.00349415, 0.00366886, 0.00384357, 0.00401828, 0.00419298,\n 0.00436769, 0.0045424 , 0.00471711, 0.00489181, 0.00506652,\n 0.00524123, 0.00541594, 0.00559064, 0.00576535, 0.00594006,\n 0.00611477, 0.00628947, 0.00646418, 0.00663889, 0.0068136 ,\n 0.00698831, 0.00716301, 0.00733772, 0.00751243, 0.00768714,\n 0.00786184, 0.00803655, 0.00821126, 0.00838597, 0.00856067,\n 0.00873538, 0.00891009, 0.0090848 , 0.0092595 , 0.00943421,\n 0.00960892, 0.00978363, 0.00995834, 0.01013304, 0.01030775,\n 0.01048246, 0.01065717, 0.01083187, 0.01100658, 0.01118129,\n 0.011356 , 0.0115307 , 0.01170541, 0.01188012, 0.01205483,\n 0.01222953, 0.01240424, 0.01257895, 0.01275366, 0.01292836,\n 0.01310307, 0.01327778, 0.01345249, 0.0136272 , 0.0138019 ,\n 0.01397661, 0.01415132, 0.01432603, 0.01450073, 0.01467544,\n 0.01485015, 0.01502486, 0.01519956, 0.01537427, 0.01554898,\n 0.01572369, 0.01589839, 0.0160731 , 0.01624781, 0.01642252,\n 0.01659723, 0.01677193, 0.01694664, 0.01712135, 0.01729606,\n 0.01747076, 0.01764547, 0.01782018, 0.01799489, 0.01816959,\n 0.0183443 , 0.01851901, 0.01869372, 0.01886842, 0.01904313,\n 0.01921784, 0.01939255, 0.01956725, 0.01974196, 0.01991667,\n 0.02009138, 0.02026609, 0.02044079, 0.0206155 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0.03476682,\n 0.03494153, 0.03511623, 0.03529094, 0.03546565, 0.03564036,\n 0.03581506, 0.03598977, 0.03616448, 0.03633919, 0.0365139 ,\n 0.0366886 , 0.03686331, 0.03703802, 0.03721273, 0.03738743,\n 0.03756214, 0.03773685, 0.03791156, 0.03808626, 0.03826097,\n 0.03843568, 0.03861039, 0.03878509, 0.0389598 , 0.03913451,\n 0.03930922, 0.03948393, 0.03965863, 0.03983334, 0.04000805,\n 0.04018276, 0.04035746, 0.04053217, 0.04070688, 0.04088159,\n 0.04105629, 0.041231 , 0.04140571, 0.04158042, 0.04175512,\n 0.04192983, 0.04210454, 0.04227925, 0.04245395, 0.04262866,\n 0.04280337, 0.04297808, 0.04315279, 0.04332749, 0.0435022 ,\n 0.04367691, 0.04385162, 0.04402632, 0.04420103, 0.04437574,\n 0.04455045, 0.04472515, 0.04489986, 0.04507457, 0.04524928,\n 0.04542398, 0.04559869, 0.0457734 , 0.04594811, 0.04612282,\n 0.04629752, 0.04647223, 0.04664694, 0.04682165, 0.04699635,\n 0.04717106, 0.04734577, 0.04752048, 0.04769518, 0.04786989,\n 0.0480446 , 0.04821931, 0.04839401, 0.04856872, 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0.10464987,\n 0.10482458, 0.10499929, 0.10517399, 0.1053487 , 0.10552341,\n 0.10569812, 0.10587283, 0.10604753, 0.10622224, 0.10639695,\n 0.10657166, 0.10674636, 0.10692107, 0.10709578, 0.10727049,\n 0.10744519, 0.1076199 , 0.10779461, 0.10796932, 0.10814402,\n 0.10831873, 0.10849344, 0.10866815, 0.10884286, 0.10901756,\n 0.10919227, 0.10936698, 0.10954169, 0.10971639, 0.1098911 ,\n 0.11006581, 0.11024052, 0.11041522, 0.11058993, 0.11076464,\n 0.11093935, 0.11111405, 0.11128876, 0.11146347, 0.11163818,\n 0.11181289, 0.11198759, 0.1121623 , 0.11233701, 0.11251172,\n 0.11268642, 0.11286113, 0.11303584, 0.11321055, 0.11338525,\n 0.11355996, 0.11373467, 0.11390938, 0.11408408, 0.11425879,\n 0.1144335 , 0.11460821, 0.11478291, 0.11495762, 0.11513233,\n 0.11530704, 0.11548175, 0.11565645, 0.11583116, 0.11600587,\n 0.11618058, 0.11635528, 0.11652999, 0.1167047 , 0.11687941,\n 0.11705411, 0.11722882, 0.11740353, 0.11757824, 0.11775294,\n 0.11792765, 0.11810236, 0.11827707, 0.11845178, 0.11862648,\n 0.11880119, 0.1189759 , 0.11915061, 0.11932531, 0.11950002,\n 0.11967473, 0.11984944, 0.12002414, 0.12019885, 0.12037356,\n 0.12054827, 0.12072297, 0.12089768, 0.12107239, 0.1212471 ,\n 0.1214218 , 0.12159651, 0.12177122, 0.12194593, 0.12212064,\n 0.12229534, 0.12247005, 0.12264476, 0.12281947, 0.12299417,\n 0.12316888, 0.12334359, 0.1235183 , 0.123693 , 0.12386771,\n 0.12404242, 0.12421713, 0.12439183, 0.12456654, 0.12474125,\n 0.12491596, 0.12509067, 0.12526537, 0.12544008, 0.12561479,\n 0.1257895 , 0.1259642 , 0.12613891, 0.12631362, 0.12648833,\n 0.12666303, 0.12683774, 0.12701245, 0.12718716, 0.12736186,\n 0.12753657, 0.12771128, 0.12788599, 0.12806069, 0.1282354 ,\n 0.12841011, 0.12858482, 0.12875953, 0.12893423, 0.12910894,\n 0.12928365, 0.12945836, 0.12963306, 0.12980777, 0.12998248,\n 0.13015719, 0.13033189, 0.1305066 , 0.13068131, 0.13085602,\n 0.13103072, 0.13120543, 0.13138014, 0.13155485, 0.13172956,\n 0.13190426, 0.13207897, 0.13225368, 0.13242839, 0.13260309,\n 0.1327778 , 0.13295251, 0.13312722, 0.13330192, 0.13347663,\n 0.13365134, 0.13382605, 0.13400075, 0.13417546, 0.13435017,\n 0.13452488, 0.13469958, 0.13487429, 0.135049 , 0.13522371,\n 0.13539842, 0.13557312, 0.13574783, 0.13592254, 0.13609725,\n 0.13627195, 0.13644666, 0.13662137, 0.13679608, 0.13697078,\n 0.13714549, 0.1373202 , 0.13749491, 0.13766961, 0.13784432,\n 0.13801903, 0.13819374, 0.13836845, 0.13854315, 0.13871786,\n 0.13889257, 0.13906728, 0.13924198, 0.13941669, 0.1395914 ,\n 0.13976611, 0.13994081, 0.14011552, 0.14029023, 0.14046494,\n 0.14063964, 0.14081435, 0.14098906, 0.14116377, 0.14133847,\n 0.14151318, 0.14168789, 0.1418626 , 0.14203731, 0.14221201,\n 0.14238672, 0.14256143, 0.14273614, 0.14291084, 0.14308555,\n 0.14326026, 0.14343497, 0.14360967, 0.14378438, 0.14395909,\n 0.1441338 , 0.1443085 , 0.14448321, 0.14465792, 0.14483263,\n 0.14500734, 0.14518204, 0.14535675, 0.14553146, 0.14570617,\n 0.14588087, 0.14605558, 0.14623029, 0.146405 , 0.1465797 ,\n 0.14675441, 0.14692912, 0.14710383, 0.14727853, 0.14745324,\n 0.14762795, 0.14780266, 0.14797737, 0.14815207, 0.14832678,\n 0.14850149, 0.1486762 , 0.1488509 , 0.14902561, 0.14920032,\n 0.14937503, 0.14954973, 0.14972444, 0.14989915, 0.15007386,\n 0.15024856, 0.15042327, 0.15059798, 0.15077269, 0.15094739,\n 0.1511221 , 0.15129681, 0.15147152, 0.15164623, 0.15182093,\n 0.15199564, 0.15217035, 0.15234506, 0.15251976, 0.15269447,\n 0.15286918, 0.15304389, 0.15321859, 0.1533933 , 0.15356801,\n 0.15374272, 0.15391742, 0.15409213, 0.15426684, 0.15444155,\n 0.15461626, 0.15479096, 0.15496567, 0.15514038, 0.15531509,\n 0.15548979, 0.1556645 , 0.15583921, 0.15601392, 0.15618862,\n 0.15636333, 0.15653804, 0.15671275, 0.15688745, 0.15706216,\n 0.15723687, 0.15741158, 0.15758628, 0.15776099, 0.1579357 ,\n 0.15811041, 0.15828512, 0.15845982, 0.15863453, 0.15880924,\n 0.15898395, 0.15915865, 0.15933336, 0.15950807, 0.15968278,\n 0.15985748, 0.16003219, 0.1602069 , 0.16038161, 0.16055631,\n 0.16073102, 0.16090573, 0.16108044, 0.16125515, 0.16142985,\n 0.16160456, 0.16177927, 0.16195398, 0.16212868, 0.16230339,\n 0.1624781 , 0.16265281, 0.16282751, 0.16300222, 0.16317693,\n 0.16335164, 0.16352634, 0.16370105, 0.16387576, 0.16405047,\n 0.16422517, 0.16439988, 0.16457459, 0.1647493 , 0.16492401,\n 0.16509871, 0.16527342, 0.16544813, 0.16562284, 0.16579754,\n 0.16597225, 0.16614696, 0.16632167, 0.16649637, 0.16667108,\n 0.16684579, 0.1670205 , 0.1671952 , 0.16736991, 0.16754462,\n 0.16771933, 0.16789404, 0.16806874, 0.16824345, 0.16841816,\n 0.16859287, 0.16876757, 0.16894228, 0.16911699, 0.1692917 ,\n 0.1694664 , 0.16964111, 0.16981582, 0.16999053, 0.17016523,\n 0.17033994, 0.17051465, 0.17068936, 0.17086406, 0.17103877,\n 0.17121348, 0.17138819, 0.1715629 , 0.1717376 , 0.17191231,\n 0.17208702, 0.17226173, 0.17243643, 0.17261114, 0.17278585,\n 0.17296056, 0.17313526, 0.17330997, 0.17348468, 0.17365939,\n 0.17383409, 0.1740088 , 0.17418351, 0.17435822, 0.17453293]), array([1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401]), {'signal': array([], dtype=float64), 'l': 0, 'u': 0}", + "evalue": "observe(): incompatible function arguments. The following argument types are supported:\n 1. (self: pycal._libcal.AtmSim, times: buffer, az: buffer, el: buffer, tod: buffer, fixed_r: float = -1.0) -> int\n\nInvoked with: , array([ 0. , 0.1001001 , 0.2002002 , 0.3003003 ,\n 0.4004004 , 0.5005005 , 0.6006006 , 0.7007007 ,\n 0.8008008 , 0.9009009 , 1.001001 , 1.1011011 ,\n 1.2012012 , 1.3013013 , 1.4014014 , 1.5015015 ,\n 1.6016016 , 1.7017017 , 1.8018018 , 1.9019019 ,\n 2.002002 , 2.1021021 , 2.2022022 , 2.3023023 ,\n 2.4024024 , 2.5025025 , 2.6026026 , 2.7027027 ,\n 2.8028028 , 2.9029029 , 3.003003 , 3.1031031 ,\n 3.2032032 , 3.3033033 , 3.4034034 , 3.5035035 ,\n 3.6036036 , 3.7037037 , 3.8038038 , 3.9039039 ,\n 4.004004 , 4.1041041 , 4.2042042 , 4.3043043 ,\n 4.4044044 , 4.5045045 , 4.6046046 , 4.7047047 ,\n 4.8048048 , 4.9049049 , 5.00500501, 5.10510511,\n 5.20520521, 5.30530531, 5.40540541, 5.50550551,\n 5.60560561, 5.70570571, 5.80580581, 5.90590591,\n 6.00600601, 6.10610611, 6.20620621, 6.30630631,\n 6.40640641, 6.50650651, 6.60660661, 6.70670671,\n 6.80680681, 6.90690691, 7.00700701, 7.10710711,\n 7.20720721, 7.30730731, 7.40740741, 7.50750751,\n 7.60760761, 7.70770771, 7.80780781, 7.90790791,\n 8.00800801, 8.10810811, 8.20820821, 8.30830831,\n 8.40840841, 8.50850851, 8.60860861, 8.70870871,\n 8.80880881, 8.90890891, 9.00900901, 9.10910911,\n 9.20920921, 9.30930931, 9.40940941, 9.50950951,\n 9.60960961, 9.70970971, 9.80980981, 9.90990991,\n 10.01001001, 10.11011011, 10.21021021, 10.31031031,\n 10.41041041, 10.51051051, 10.61061061, 10.71071071,\n 10.81081081, 10.91091091, 11.01101101, 11.11111111,\n 11.21121121, 11.31131131, 11.41141141, 11.51151151,\n 11.61161161, 11.71171171, 11.81181181, 11.91191191,\n 12.01201201, 12.11211211, 12.21221221, 12.31231231,\n 12.41241241, 12.51251251, 12.61261261, 12.71271271,\n 12.81281281, 12.91291291, 13.01301301, 13.11311311,\n 13.21321321, 13.31331331, 13.41341341, 13.51351351,\n 13.61361361, 13.71371371, 13.81381381, 13.91391391,\n 14.01401401, 14.11411411, 14.21421421, 14.31431431,\n 14.41441441, 14.51451451, 14.61461461, 14.71471471,\n 14.81481481, 14.91491491, 15.01501502, 15.11511512,\n 15.21521522, 15.31531532, 15.41541542, 15.51551552,\n 15.61561562, 15.71571572, 15.81581582, 15.91591592,\n 16.01601602, 16.11611612, 16.21621622, 16.31631632,\n 16.41641642, 16.51651652, 16.61661662, 16.71671672,\n 16.81681682, 16.91691692, 17.01701702, 17.11711712,\n 17.21721722, 17.31731732, 17.41741742, 17.51751752,\n 17.61761762, 17.71771772, 17.81781782, 17.91791792,\n 18.01801802, 18.11811812, 18.21821822, 18.31831832,\n 18.41841842, 18.51851852, 18.61861862, 18.71871872,\n 18.81881882, 18.91891892, 19.01901902, 19.11911912,\n 19.21921922, 19.31931932, 19.41941942, 19.51951952,\n 19.61961962, 19.71971972, 19.81981982, 19.91991992,\n 20.02002002, 20.12012012, 20.22022022, 20.32032032,\n 20.42042042, 20.52052052, 20.62062062, 20.72072072,\n 20.82082082, 20.92092092, 21.02102102, 21.12112112,\n 21.22122122, 21.32132132, 21.42142142, 21.52152152,\n 21.62162162, 21.72172172, 21.82182182, 21.92192192,\n 22.02202202, 22.12212212, 22.22222222, 22.32232232,\n 22.42242242, 22.52252252, 22.62262262, 22.72272272,\n 22.82282282, 22.92292292, 23.02302302, 23.12312312,\n 23.22322322, 23.32332332, 23.42342342, 23.52352352,\n 23.62362362, 23.72372372, 23.82382382, 23.92392392,\n 24.02402402, 24.12412412, 24.22422422, 24.32432432,\n 24.42442442, 24.52452452, 24.62462462, 24.72472472,\n 24.82482482, 24.92492492, 25.02502503, 25.12512513,\n 25.22522523, 25.32532533, 25.42542543, 25.52552553,\n 25.62562563, 25.72572573, 25.82582583, 25.92592593,\n 26.02602603, 26.12612613, 26.22622623, 26.32632633,\n 26.42642643, 26.52652653, 26.62662663, 26.72672673,\n 26.82682683, 26.92692693, 27.02702703, 27.12712713,\n 27.22722723, 27.32732733, 27.42742743, 27.52752753,\n 27.62762763, 27.72772773, 27.82782783, 27.92792793,\n 28.02802803, 28.12812813, 28.22822823, 28.32832833,\n 28.42842843, 28.52852853, 28.62862863, 28.72872873,\n 28.82882883, 28.92892893, 29.02902903, 29.12912913,\n 29.22922923, 29.32932933, 29.42942943, 29.52952953,\n 29.62962963, 29.72972973, 29.82982983, 29.92992993,\n 30.03003003, 30.13013013, 30.23023023, 30.33033033,\n 30.43043043, 30.53053053, 30.63063063, 30.73073073,\n 30.83083083, 30.93093093, 31.03103103, 31.13113113,\n 31.23123123, 31.33133133, 31.43143143, 31.53153153,\n 31.63163163, 31.73173173, 31.83183183, 31.93193193,\n 32.03203203, 32.13213213, 32.23223223, 32.33233233,\n 32.43243243, 32.53253253, 32.63263263, 32.73273273,\n 32.83283283, 32.93293293, 33.03303303, 33.13313313,\n 33.23323323, 33.33333333, 33.43343343, 33.53353353,\n 33.63363363, 33.73373373, 33.83383383, 33.93393393,\n 34.03403403, 34.13413413, 34.23423423, 34.33433433,\n 34.43443443, 34.53453453, 34.63463463, 34.73473473,\n 34.83483483, 34.93493493, 35.03503504, 35.13513514,\n 35.23523524, 35.33533534, 35.43543544, 35.53553554,\n 35.63563564, 35.73573574, 35.83583584, 35.93593594,\n 36.03603604, 36.13613614, 36.23623624, 36.33633634,\n 36.43643644, 36.53653654, 36.63663664, 36.73673674,\n 36.83683684, 36.93693694, 37.03703704, 37.13713714,\n 37.23723724, 37.33733734, 37.43743744, 37.53753754,\n 37.63763764, 37.73773774, 37.83783784, 37.93793794,\n 38.03803804, 38.13813814, 38.23823824, 38.33833834,\n 38.43843844, 38.53853854, 38.63863864, 38.73873874,\n 38.83883884, 38.93893894, 39.03903904, 39.13913914,\n 39.23923924, 39.33933934, 39.43943944, 39.53953954,\n 39.63963964, 39.73973974, 39.83983984, 39.93993994,\n 40.04004004, 40.14014014, 40.24024024, 40.34034034,\n 40.44044044, 40.54054054, 40.64064064, 40.74074074,\n 40.84084084, 40.94094094, 41.04104104, 41.14114114,\n 41.24124124, 41.34134134, 41.44144144, 41.54154154,\n 41.64164164, 41.74174174, 41.84184184, 41.94194194,\n 42.04204204, 42.14214214, 42.24224224, 42.34234234,\n 42.44244244, 42.54254254, 42.64264264, 42.74274274,\n 42.84284284, 42.94294294, 43.04304304, 43.14314314,\n 43.24324324, 43.34334334, 43.44344344, 43.54354354,\n 43.64364364, 43.74374374, 43.84384384, 43.94394394,\n 44.04404404, 44.14414414, 44.24424424, 44.34434434,\n 44.44444444, 44.54454454, 44.64464464, 44.74474474,\n 44.84484484, 44.94494494, 45.04504505, 45.14514515,\n 45.24524525, 45.34534535, 45.44544545, 45.54554555,\n 45.64564565, 45.74574575, 45.84584585, 45.94594595,\n 46.04604605, 46.14614615, 46.24624625, 46.34634635,\n 46.44644645, 46.54654655, 46.64664665, 46.74674675,\n 46.84684685, 46.94694695, 47.04704705, 47.14714715,\n 47.24724725, 47.34734735, 47.44744745, 47.54754755,\n 47.64764765, 47.74774775, 47.84784785, 47.94794795,\n 48.04804805, 48.14814815, 48.24824825, 48.34834835,\n 48.44844845, 48.54854855, 48.64864865, 48.74874875,\n 48.84884885, 48.94894895, 49.04904905, 49.14914915,\n 49.24924925, 49.34934935, 49.44944945, 49.54954955,\n 49.64964965, 49.74974975, 49.84984985, 49.94994995,\n 50.05005005, 50.15015015, 50.25025025, 50.35035035,\n 50.45045045, 50.55055055, 50.65065065, 50.75075075,\n 50.85085085, 50.95095095, 51.05105105, 51.15115115,\n 51.25125125, 51.35135135, 51.45145145, 51.55155155,\n 51.65165165, 51.75175175, 51.85185185, 51.95195195,\n 52.05205205, 52.15215215, 52.25225225, 52.35235235,\n 52.45245245, 52.55255255, 52.65265265, 52.75275275,\n 52.85285285, 52.95295295, 53.05305305, 53.15315315,\n 53.25325325, 53.35335335, 53.45345345, 53.55355355,\n 53.65365365, 53.75375375, 53.85385385, 53.95395395,\n 54.05405405, 54.15415415, 54.25425425, 54.35435435,\n 54.45445445, 54.55455455, 54.65465465, 54.75475475,\n 54.85485485, 54.95495495, 55.05505506, 55.15515516,\n 55.25525526, 55.35535536, 55.45545546, 55.55555556,\n 55.65565566, 55.75575576, 55.85585586, 55.95595596,\n 56.05605606, 56.15615616, 56.25625626, 56.35635636,\n 56.45645646, 56.55655656, 56.65665666, 56.75675676,\n 56.85685686, 56.95695696, 57.05705706, 57.15715716,\n 57.25725726, 57.35735736, 57.45745746, 57.55755756,\n 57.65765766, 57.75775776, 57.85785786, 57.95795796,\n 58.05805806, 58.15815816, 58.25825826, 58.35835836,\n 58.45845846, 58.55855856, 58.65865866, 58.75875876,\n 58.85885886, 58.95895896, 59.05905906, 59.15915916,\n 59.25925926, 59.35935936, 59.45945946, 59.55955956,\n 59.65965966, 59.75975976, 59.85985986, 59.95995996,\n 60.06006006, 60.16016016, 60.26026026, 60.36036036,\n 60.46046046, 60.56056056, 60.66066066, 60.76076076,\n 60.86086086, 60.96096096, 61.06106106, 61.16116116,\n 61.26126126, 61.36136136, 61.46146146, 61.56156156,\n 61.66166166, 61.76176176, 61.86186186, 61.96196196,\n 62.06206206, 62.16216216, 62.26226226, 62.36236236,\n 62.46246246, 62.56256256, 62.66266266, 62.76276276,\n 62.86286286, 62.96296296, 63.06306306, 63.16316316,\n 63.26326326, 63.36336336, 63.46346346, 63.56356356,\n 63.66366366, 63.76376376, 63.86386386, 63.96396396,\n 64.06406406, 64.16416416, 64.26426426, 64.36436436,\n 64.46446446, 64.56456456, 64.66466466, 64.76476476,\n 64.86486486, 64.96496496, 65.06506507, 65.16516517,\n 65.26526527, 65.36536537, 65.46546547, 65.56556557,\n 65.66566567, 65.76576577, 65.86586587, 65.96596597,\n 66.06606607, 66.16616617, 66.26626627, 66.36636637,\n 66.46646647, 66.56656657, 66.66666667, 66.76676677,\n 66.86686687, 66.96696697, 67.06706707, 67.16716717,\n 67.26726727, 67.36736737, 67.46746747, 67.56756757,\n 67.66766767, 67.76776777, 67.86786787, 67.96796797,\n 68.06806807, 68.16816817, 68.26826827, 68.36836837,\n 68.46846847, 68.56856857, 68.66866867, 68.76876877,\n 68.86886887, 68.96896897, 69.06906907, 69.16916917,\n 69.26926927, 69.36936937, 69.46946947, 69.56956957,\n 69.66966967, 69.76976977, 69.86986987, 69.96996997,\n 70.07007007, 70.17017017, 70.27027027, 70.37037037,\n 70.47047047, 70.57057057, 70.67067067, 70.77077077,\n 70.87087087, 70.97097097, 71.07107107, 71.17117117,\n 71.27127127, 71.37137137, 71.47147147, 71.57157157,\n 71.67167167, 71.77177177, 71.87187187, 71.97197197,\n 72.07207207, 72.17217217, 72.27227227, 72.37237237,\n 72.47247247, 72.57257257, 72.67267267, 72.77277277,\n 72.87287287, 72.97297297, 73.07307307, 73.17317317,\n 73.27327327, 73.37337337, 73.47347347, 73.57357357,\n 73.67367367, 73.77377377, 73.87387387, 73.97397397,\n 74.07407407, 74.17417417, 74.27427427, 74.37437437,\n 74.47447447, 74.57457457, 74.67467467, 74.77477477,\n 74.87487487, 74.97497497, 75.07507508, 75.17517518,\n 75.27527528, 75.37537538, 75.47547548, 75.57557558,\n 75.67567568, 75.77577578, 75.87587588, 75.97597598,\n 76.07607608, 76.17617618, 76.27627628, 76.37637638,\n 76.47647648, 76.57657658, 76.67667668, 76.77677678,\n 76.87687688, 76.97697698, 77.07707708, 77.17717718,\n 77.27727728, 77.37737738, 77.47747748, 77.57757758,\n 77.67767768, 77.77777778, 77.87787788, 77.97797798,\n 78.07807808, 78.17817818, 78.27827828, 78.37837838,\n 78.47847848, 78.57857858, 78.67867868, 78.77877878,\n 78.87887888, 78.97897898, 79.07907908, 79.17917918,\n 79.27927928, 79.37937938, 79.47947948, 79.57957958,\n 79.67967968, 79.77977978, 79.87987988, 79.97997998,\n 80.08008008, 80.18018018, 80.28028028, 80.38038038,\n 80.48048048, 80.58058058, 80.68068068, 80.78078078,\n 80.88088088, 80.98098098, 81.08108108, 81.18118118,\n 81.28128128, 81.38138138, 81.48148148, 81.58158158,\n 81.68168168, 81.78178178, 81.88188188, 81.98198198,\n 82.08208208, 82.18218218, 82.28228228, 82.38238238,\n 82.48248248, 82.58258258, 82.68268268, 82.78278278,\n 82.88288288, 82.98298298, 83.08308308, 83.18318318,\n 83.28328328, 83.38338338, 83.48348348, 83.58358358,\n 83.68368368, 83.78378378, 83.88388388, 83.98398398,\n 84.08408408, 84.18418418, 84.28428428, 84.38438438,\n 84.48448448, 84.58458458, 84.68468468, 84.78478478,\n 84.88488488, 84.98498498, 85.08508509, 85.18518519,\n 85.28528529, 85.38538539, 85.48548549, 85.58558559,\n 85.68568569, 85.78578579, 85.88588589, 85.98598599,\n 86.08608609, 86.18618619, 86.28628629, 86.38638639,\n 86.48648649, 86.58658659, 86.68668669, 86.78678679,\n 86.88688689, 86.98698699, 87.08708709, 87.18718719,\n 87.28728729, 87.38738739, 87.48748749, 87.58758759,\n 87.68768769, 87.78778779, 87.88788789, 87.98798799,\n 88.08808809, 88.18818819, 88.28828829, 88.38838839,\n 88.48848849, 88.58858859, 88.68868869, 88.78878879,\n 88.88888889, 88.98898899, 89.08908909, 89.18918919,\n 89.28928929, 89.38938939, 89.48948949, 89.58958959,\n 89.68968969, 89.78978979, 89.88988989, 89.98998999,\n 90.09009009, 90.19019019, 90.29029029, 90.39039039,\n 90.49049049, 90.59059059, 90.69069069, 90.79079079,\n 90.89089089, 90.99099099, 91.09109109, 91.19119119,\n 91.29129129, 91.39139139, 91.49149149, 91.59159159,\n 91.69169169, 91.79179179, 91.89189189, 91.99199199,\n 92.09209209, 92.19219219, 92.29229229, 92.39239239,\n 92.49249249, 92.59259259, 92.69269269, 92.79279279,\n 92.89289289, 92.99299299, 93.09309309, 93.19319319,\n 93.29329329, 93.39339339, 93.49349349, 93.59359359,\n 93.69369369, 93.79379379, 93.89389389, 93.99399399,\n 94.09409409, 94.19419419, 94.29429429, 94.39439439,\n 94.49449449, 94.59459459, 94.69469469, 94.79479479,\n 94.89489489, 94.99499499, 95.0950951 , 95.1951952 ,\n 95.2952953 , 95.3953954 , 95.4954955 , 95.5955956 ,\n 95.6956957 , 95.7957958 , 95.8958959 , 95.995996 ,\n 96.0960961 , 96.1961962 , 96.2962963 , 96.3963964 ,\n 96.4964965 , 96.5965966 , 96.6966967 , 96.7967968 ,\n 96.8968969 , 96.996997 , 97.0970971 , 97.1971972 ,\n 97.2972973 , 97.3973974 , 97.4974975 , 97.5975976 ,\n 97.6976977 , 97.7977978 , 97.8978979 , 97.997998 ,\n 98.0980981 , 98.1981982 , 98.2982983 , 98.3983984 ,\n 98.4984985 , 98.5985986 , 98.6986987 , 98.7987988 ,\n 98.8988989 , 98.998999 , 99.0990991 , 99.1991992 ,\n 99.2992993 , 99.3993994 , 99.4994995 , 99.5995996 ,\n 99.6996997 , 99.7997998 , 99.8998999 , 100. ]), array([0. , 0.00017471, 0.00034942, 0.00052412, 0.00069883,\n 0.00087354, 0.00104825, 0.00122295, 0.00139766, 0.00157237,\n 0.00174708, 0.00192178, 0.00209649, 0.0022712 , 0.00244591,\n 0.00262061, 0.00279532, 0.00297003, 0.00314474, 0.00331945,\n 0.00349415, 0.00366886, 0.00384357, 0.00401828, 0.00419298,\n 0.00436769, 0.0045424 , 0.00471711, 0.00489181, 0.00506652,\n 0.00524123, 0.00541594, 0.00559064, 0.00576535, 0.00594006,\n 0.00611477, 0.00628947, 0.00646418, 0.00663889, 0.0068136 ,\n 0.00698831, 0.00716301, 0.00733772, 0.00751243, 0.00768714,\n 0.00786184, 0.00803655, 0.00821126, 0.00838597, 0.00856067,\n 0.00873538, 0.00891009, 0.0090848 , 0.0092595 , 0.00943421,\n 0.00960892, 0.00978363, 0.00995834, 0.01013304, 0.01030775,\n 0.01048246, 0.01065717, 0.01083187, 0.01100658, 0.01118129,\n 0.011356 , 0.0115307 , 0.01170541, 0.01188012, 0.01205483,\n 0.01222953, 0.01240424, 0.01257895, 0.01275366, 0.01292836,\n 0.01310307, 0.01327778, 0.01345249, 0.0136272 , 0.0138019 ,\n 0.01397661, 0.01415132, 0.01432603, 0.01450073, 0.01467544,\n 0.01485015, 0.01502486, 0.01519956, 0.01537427, 0.01554898,\n 0.01572369, 0.01589839, 0.0160731 , 0.01624781, 0.01642252,\n 0.01659723, 0.01677193, 0.01694664, 0.01712135, 0.01729606,\n 0.01747076, 0.01764547, 0.01782018, 0.01799489, 0.01816959,\n 0.0183443 , 0.01851901, 0.01869372, 0.01886842, 0.01904313,\n 0.01921784, 0.01939255, 0.01956725, 0.01974196, 0.01991667,\n 0.02009138, 0.02026609, 0.02044079, 0.0206155 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0.03476682,\n 0.03494153, 0.03511623, 0.03529094, 0.03546565, 0.03564036,\n 0.03581506, 0.03598977, 0.03616448, 0.03633919, 0.0365139 ,\n 0.0366886 , 0.03686331, 0.03703802, 0.03721273, 0.03738743,\n 0.03756214, 0.03773685, 0.03791156, 0.03808626, 0.03826097,\n 0.03843568, 0.03861039, 0.03878509, 0.0389598 , 0.03913451,\n 0.03930922, 0.03948393, 0.03965863, 0.03983334, 0.04000805,\n 0.04018276, 0.04035746, 0.04053217, 0.04070688, 0.04088159,\n 0.04105629, 0.041231 , 0.04140571, 0.04158042, 0.04175512,\n 0.04192983, 0.04210454, 0.04227925, 0.04245395, 0.04262866,\n 0.04280337, 0.04297808, 0.04315279, 0.04332749, 0.0435022 ,\n 0.04367691, 0.04385162, 0.04402632, 0.04420103, 0.04437574,\n 0.04455045, 0.04472515, 0.04489986, 0.04507457, 0.04524928,\n 0.04542398, 0.04559869, 0.0457734 , 0.04594811, 0.04612282,\n 0.04629752, 0.04647223, 0.04664694, 0.04682165, 0.04699635,\n 0.04717106, 0.04734577, 0.04752048, 0.04769518, 0.04786989,\n 0.0480446 , 0.04821931, 0.04839401, 0.04856872, 0.04874343,\n 0.04891814, 0.04909284, 0.04926755, 0.04944226, 0.04961697,\n 0.04979168, 0.04996638, 0.05014109, 0.0503158 , 0.05049051,\n 0.05066521, 0.05083992, 0.05101463, 0.05118934, 0.05136404,\n 0.05153875, 0.05171346, 0.05188817, 0.05206287, 0.05223758,\n 0.05241229, 0.052587 , 0.05276171, 0.05293641, 0.05311112,\n 0.05328583, 0.05346054, 0.05363524, 0.05380995, 0.05398466,\n 0.05415937, 0.05433407, 0.05450878, 0.05468349, 0.0548582 ,\n 0.0550329 , 0.05520761, 0.05538232, 0.05555703, 0.05573173,\n 0.05590644, 0.05608115, 0.05625586, 0.05643057, 0.05660527,\n 0.05677998, 0.05695469, 0.0571294 , 0.0573041 , 0.05747881,\n 0.05765352, 0.05782823, 0.05800293, 0.05817764, 0.05835235,\n 0.05852706, 0.05870176, 0.05887647, 0.05905118, 0.05922589,\n 0.0594006 , 0.0595753 , 0.05975001, 0.05992472, 0.06009943,\n 0.06027413, 0.06044884, 0.06062355, 0.06079826, 0.06097296,\n 0.06114767, 0.06132238, 0.06149709, 0.06167179, 0.0618465 ,\n 0.06202121, 0.06219592, 0.06237062, 0.06254533, 0.06272004,\n 0.06289475, 0.06306946, 0.06324416, 0.06341887, 0.06359358,\n 0.06376829, 0.06394299, 0.0641177 , 0.06429241, 0.06446712,\n 0.06464182, 0.06481653, 0.06499124, 0.06516595, 0.06534065,\n 0.06551536, 0.06569007, 0.06586478, 0.06603949, 0.06621419,\n 0.0663889 , 0.06656361, 0.06673832, 0.06691302, 0.06708773,\n 0.06726244, 0.06743715, 0.06761185, 0.06778656, 0.06796127,\n 0.06813598, 0.06831068, 0.06848539, 0.0686601 , 0.06883481,\n 0.06900951, 0.06918422, 0.06935893, 0.06953364, 0.06970835,\n 0.06988305, 0.07005776, 0.07023247, 0.07040718, 0.07058188,\n 0.07075659, 0.0709313 , 0.07110601, 0.07128071, 0.07145542,\n 0.07163013, 0.07180484, 0.07197954, 0.07215425, 0.07232896,\n 0.07250367, 0.07267838, 0.07285308, 0.07302779, 0.0732025 ,\n 0.07337721, 0.07355191, 0.07372662, 0.07390133, 0.07407604,\n 0.07425074, 0.07442545, 0.07460016, 0.07477487, 0.07494957,\n 0.07512428, 0.07529899, 0.0754737 , 0.07564841, 0.07582311,\n 0.07599782, 0.07617253, 0.07634724, 0.07652194, 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0.11862648,\n 0.11880119, 0.1189759 , 0.11915061, 0.11932531, 0.11950002,\n 0.11967473, 0.11984944, 0.12002414, 0.12019885, 0.12037356,\n 0.12054827, 0.12072297, 0.12089768, 0.12107239, 0.1212471 ,\n 0.1214218 , 0.12159651, 0.12177122, 0.12194593, 0.12212064,\n 0.12229534, 0.12247005, 0.12264476, 0.12281947, 0.12299417,\n 0.12316888, 0.12334359, 0.1235183 , 0.123693 , 0.12386771,\n 0.12404242, 0.12421713, 0.12439183, 0.12456654, 0.12474125,\n 0.12491596, 0.12509067, 0.12526537, 0.12544008, 0.12561479,\n 0.1257895 , 0.1259642 , 0.12613891, 0.12631362, 0.12648833,\n 0.12666303, 0.12683774, 0.12701245, 0.12718716, 0.12736186,\n 0.12753657, 0.12771128, 0.12788599, 0.12806069, 0.1282354 ,\n 0.12841011, 0.12858482, 0.12875953, 0.12893423, 0.12910894,\n 0.12928365, 0.12945836, 0.12963306, 0.12980777, 0.12998248,\n 0.13015719, 0.13033189, 0.1305066 , 0.13068131, 0.13085602,\n 0.13103072, 0.13120543, 0.13138014, 0.13155485, 0.13172956,\n 0.13190426, 0.13207897, 0.13225368, 0.13242839, 0.13260309,\n 0.1327778 , 0.13295251, 0.13312722, 0.13330192, 0.13347663,\n 0.13365134, 0.13382605, 0.13400075, 0.13417546, 0.13435017,\n 0.13452488, 0.13469958, 0.13487429, 0.135049 , 0.13522371,\n 0.13539842, 0.13557312, 0.13574783, 0.13592254, 0.13609725,\n 0.13627195, 0.13644666, 0.13662137, 0.13679608, 0.13697078,\n 0.13714549, 0.1373202 , 0.13749491, 0.13766961, 0.13784432,\n 0.13801903, 0.13819374, 0.13836845, 0.13854315, 0.13871786,\n 0.13889257, 0.13906728, 0.13924198, 0.13941669, 0.1395914 ,\n 0.13976611, 0.13994081, 0.14011552, 0.14029023, 0.14046494,\n 0.14063964, 0.14081435, 0.14098906, 0.14116377, 0.14133847,\n 0.14151318, 0.14168789, 0.1418626 , 0.14203731, 0.14221201,\n 0.14238672, 0.14256143, 0.14273614, 0.14291084, 0.14308555,\n 0.14326026, 0.14343497, 0.14360967, 0.14378438, 0.14395909,\n 0.1441338 , 0.1443085 , 0.14448321, 0.14465792, 0.14483263,\n 0.14500734, 0.14518204, 0.14535675, 0.14553146, 0.14570617,\n 0.14588087, 0.14605558, 0.14623029, 0.146405 , 0.1465797 ,\n 0.14675441, 0.14692912, 0.14710383, 0.14727853, 0.14745324,\n 0.14762795, 0.14780266, 0.14797737, 0.14815207, 0.14832678,\n 0.14850149, 0.1486762 , 0.1488509 , 0.14902561, 0.14920032,\n 0.14937503, 0.14954973, 0.14972444, 0.14989915, 0.15007386,\n 0.15024856, 0.15042327, 0.15059798, 0.15077269, 0.15094739,\n 0.1511221 , 0.15129681, 0.15147152, 0.15164623, 0.15182093,\n 0.15199564, 0.15217035, 0.15234506, 0.15251976, 0.15269447,\n 0.15286918, 0.15304389, 0.15321859, 0.1533933 , 0.15356801,\n 0.15374272, 0.15391742, 0.15409213, 0.15426684, 0.15444155,\n 0.15461626, 0.15479096, 0.15496567, 0.15514038, 0.15531509,\n 0.15548979, 0.1556645 , 0.15583921, 0.15601392, 0.15618862,\n 0.15636333, 0.15653804, 0.15671275, 0.15688745, 0.15706216,\n 0.15723687, 0.15741158, 0.15758628, 0.15776099, 0.1579357 ,\n 0.15811041, 0.15828512, 0.15845982, 0.15863453, 0.15880924,\n 0.15898395, 0.15915865, 0.15933336, 0.15950807, 0.15968278,\n 0.15985748, 0.16003219, 0.1602069 , 0.16038161, 0.16055631,\n 0.16073102, 0.16090573, 0.16108044, 0.16125515, 0.16142985,\n 0.16160456, 0.16177927, 0.16195398, 0.16212868, 0.16230339,\n 0.1624781 , 0.16265281, 0.16282751, 0.16300222, 0.16317693,\n 0.16335164, 0.16352634, 0.16370105, 0.16387576, 0.16405047,\n 0.16422517, 0.16439988, 0.16457459, 0.1647493 , 0.16492401,\n 0.16509871, 0.16527342, 0.16544813, 0.16562284, 0.16579754,\n 0.16597225, 0.16614696, 0.16632167, 0.16649637, 0.16667108,\n 0.16684579, 0.1670205 , 0.1671952 , 0.16736991, 0.16754462,\n 0.16771933, 0.16789404, 0.16806874, 0.16824345, 0.16841816,\n 0.16859287, 0.16876757, 0.16894228, 0.16911699, 0.1692917 ,\n 0.1694664 , 0.16964111, 0.16981582, 0.16999053, 0.17016523,\n 0.17033994, 0.17051465, 0.17068936, 0.17086406, 0.17103877,\n 0.17121348, 0.17138819, 0.1715629 , 0.1717376 , 0.17191231,\n 0.17208702, 0.17226173, 0.17243643, 0.17261114, 0.17278585,\n 0.17296056, 0.17313526, 0.17330997, 0.17348468, 0.17365939,\n 0.17383409, 0.1740088 , 0.17418351, 0.17435822, 0.17453293]), array([1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 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1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401]), {'signal': array([], dtype=float64), 'l': 0, 'u': 0}", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mtod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m'signal'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'l'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'u'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0matm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mobserve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlinspace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m100\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1000\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlinspace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m180\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1000\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mones\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1000\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m65\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m180\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtod\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;31mTypeError\u001b[0m: observe(): incompatible function arguments. The following argument types are supported:\n 1. (self: pycal._libcal.AtmSim, times: buffer, az: buffer, el: buffer, tod: buffer, fixed_r: float = -1.0) -> int\n\nInvoked with: , array([ 0. , 0.1001001 , 0.2002002 , 0.3003003 ,\n 0.4004004 , 0.5005005 , 0.6006006 , 0.7007007 ,\n 0.8008008 , 0.9009009 , 1.001001 , 1.1011011 ,\n 1.2012012 , 1.3013013 , 1.4014014 , 1.5015015 ,\n 1.6016016 , 1.7017017 , 1.8018018 , 1.9019019 ,\n 2.002002 , 2.1021021 , 2.2022022 , 2.3023023 ,\n 2.4024024 , 2.5025025 , 2.6026026 , 2.7027027 ,\n 2.8028028 , 2.9029029 , 3.003003 , 3.1031031 ,\n 3.2032032 , 3.3033033 , 3.4034034 , 3.5035035 ,\n 3.6036036 , 3.7037037 , 3.8038038 , 3.9039039 ,\n 4.004004 , 4.1041041 , 4.2042042 , 4.3043043 ,\n 4.4044044 , 4.5045045 , 4.6046046 , 4.7047047 ,\n 4.8048048 , 4.9049049 , 5.00500501, 5.10510511,\n 5.20520521, 5.30530531, 5.40540541, 5.50550551,\n 5.60560561, 5.70570571, 5.80580581, 5.90590591,\n 6.00600601, 6.10610611, 6.20620621, 6.30630631,\n 6.40640641, 6.50650651, 6.60660661, 6.70670671,\n 6.80680681, 6.90690691, 7.00700701, 7.10710711,\n 7.20720721, 7.30730731, 7.40740741, 7.50750751,\n 7.60760761, 7.70770771, 7.80780781, 7.90790791,\n 8.00800801, 8.10810811, 8.20820821, 8.30830831,\n 8.40840841, 8.50850851, 8.60860861, 8.70870871,\n 8.80880881, 8.90890891, 9.00900901, 9.10910911,\n 9.20920921, 9.30930931, 9.40940941, 9.50950951,\n 9.60960961, 9.70970971, 9.80980981, 9.90990991,\n 10.01001001, 10.11011011, 10.21021021, 10.31031031,\n 10.41041041, 10.51051051, 10.61061061, 10.71071071,\n 10.81081081, 10.91091091, 11.01101101, 11.11111111,\n 11.21121121, 11.31131131, 11.41141141, 11.51151151,\n 11.61161161, 11.71171171, 11.81181181, 11.91191191,\n 12.01201201, 12.11211211, 12.21221221, 12.31231231,\n 12.41241241, 12.51251251, 12.61261261, 12.71271271,\n 12.81281281, 12.91291291, 13.01301301, 13.11311311,\n 13.21321321, 13.31331331, 13.41341341, 13.51351351,\n 13.61361361, 13.71371371, 13.81381381, 13.91391391,\n 14.01401401, 14.11411411, 14.21421421, 14.31431431,\n 14.41441441, 14.51451451, 14.61461461, 14.71471471,\n 14.81481481, 14.91491491, 15.01501502, 15.11511512,\n 15.21521522, 15.31531532, 15.41541542, 15.51551552,\n 15.61561562, 15.71571572, 15.81581582, 15.91591592,\n 16.01601602, 16.11611612, 16.21621622, 16.31631632,\n 16.41641642, 16.51651652, 16.61661662, 16.71671672,\n 16.81681682, 16.91691692, 17.01701702, 17.11711712,\n 17.21721722, 17.31731732, 17.41741742, 17.51751752,\n 17.61761762, 17.71771772, 17.81781782, 17.91791792,\n 18.01801802, 18.11811812, 18.21821822, 18.31831832,\n 18.41841842, 18.51851852, 18.61861862, 18.71871872,\n 18.81881882, 18.91891892, 19.01901902, 19.11911912,\n 19.21921922, 19.31931932, 19.41941942, 19.51951952,\n 19.61961962, 19.71971972, 19.81981982, 19.91991992,\n 20.02002002, 20.12012012, 20.22022022, 20.32032032,\n 20.42042042, 20.52052052, 20.62062062, 20.72072072,\n 20.82082082, 20.92092092, 21.02102102, 21.12112112,\n 21.22122122, 21.32132132, 21.42142142, 21.52152152,\n 21.62162162, 21.72172172, 21.82182182, 21.92192192,\n 22.02202202, 22.12212212, 22.22222222, 22.32232232,\n 22.42242242, 22.52252252, 22.62262262, 22.72272272,\n 22.82282282, 22.92292292, 23.02302302, 23.12312312,\n 23.22322322, 23.32332332, 23.42342342, 23.52352352,\n 23.62362362, 23.72372372, 23.82382382, 23.92392392,\n 24.02402402, 24.12412412, 24.22422422, 24.32432432,\n 24.42442442, 24.52452452, 24.62462462, 24.72472472,\n 24.82482482, 24.92492492, 25.02502503, 25.12512513,\n 25.22522523, 25.32532533, 25.42542543, 25.52552553,\n 25.62562563, 25.72572573, 25.82582583, 25.92592593,\n 26.02602603, 26.12612613, 26.22622623, 26.32632633,\n 26.42642643, 26.52652653, 26.62662663, 26.72672673,\n 26.82682683, 26.92692693, 27.02702703, 27.12712713,\n 27.22722723, 27.32732733, 27.42742743, 27.52752753,\n 27.62762763, 27.72772773, 27.82782783, 27.92792793,\n 28.02802803, 28.12812813, 28.22822823, 28.32832833,\n 28.42842843, 28.52852853, 28.62862863, 28.72872873,\n 28.82882883, 28.92892893, 29.02902903, 29.12912913,\n 29.22922923, 29.32932933, 29.42942943, 29.52952953,\n 29.62962963, 29.72972973, 29.82982983, 29.92992993,\n 30.03003003, 30.13013013, 30.23023023, 30.33033033,\n 30.43043043, 30.53053053, 30.63063063, 30.73073073,\n 30.83083083, 30.93093093, 31.03103103, 31.13113113,\n 31.23123123, 31.33133133, 31.43143143, 31.53153153,\n 31.63163163, 31.73173173, 31.83183183, 31.93193193,\n 32.03203203, 32.13213213, 32.23223223, 32.33233233,\n 32.43243243, 32.53253253, 32.63263263, 32.73273273,\n 32.83283283, 32.93293293, 33.03303303, 33.13313313,\n 33.23323323, 33.33333333, 33.43343343, 33.53353353,\n 33.63363363, 33.73373373, 33.83383383, 33.93393393,\n 34.03403403, 34.13413413, 34.23423423, 34.33433433,\n 34.43443443, 34.53453453, 34.63463463, 34.73473473,\n 34.83483483, 34.93493493, 35.03503504, 35.13513514,\n 35.23523524, 35.33533534, 35.43543544, 35.53553554,\n 35.63563564, 35.73573574, 35.83583584, 35.93593594,\n 36.03603604, 36.13613614, 36.23623624, 36.33633634,\n 36.43643644, 36.53653654, 36.63663664, 36.73673674,\n 36.83683684, 36.93693694, 37.03703704, 37.13713714,\n 37.23723724, 37.33733734, 37.43743744, 37.53753754,\n 37.63763764, 37.73773774, 37.83783784, 37.93793794,\n 38.03803804, 38.13813814, 38.23823824, 38.33833834,\n 38.43843844, 38.53853854, 38.63863864, 38.73873874,\n 38.83883884, 38.93893894, 39.03903904, 39.13913914,\n 39.23923924, 39.33933934, 39.43943944, 39.53953954,\n 39.63963964, 39.73973974, 39.83983984, 39.93993994,\n 40.04004004, 40.14014014, 40.24024024, 40.34034034,\n 40.44044044, 40.54054054, 40.64064064, 40.74074074,\n 40.84084084, 40.94094094, 41.04104104, 41.14114114,\n 41.24124124, 41.34134134, 41.44144144, 41.54154154,\n 41.64164164, 41.74174174, 41.84184184, 41.94194194,\n 42.04204204, 42.14214214, 42.24224224, 42.34234234,\n 42.44244244, 42.54254254, 42.64264264, 42.74274274,\n 42.84284284, 42.94294294, 43.04304304, 43.14314314,\n 43.24324324, 43.34334334, 43.44344344, 43.54354354,\n 43.64364364, 43.74374374, 43.84384384, 43.94394394,\n 44.04404404, 44.14414414, 44.24424424, 44.34434434,\n 44.44444444, 44.54454454, 44.64464464, 44.74474474,\n 44.84484484, 44.94494494, 45.04504505, 45.14514515,\n 45.24524525, 45.34534535, 45.44544545, 45.54554555,\n 45.64564565, 45.74574575, 45.84584585, 45.94594595,\n 46.04604605, 46.14614615, 46.24624625, 46.34634635,\n 46.44644645, 46.54654655, 46.64664665, 46.74674675,\n 46.84684685, 46.94694695, 47.04704705, 47.14714715,\n 47.24724725, 47.34734735, 47.44744745, 47.54754755,\n 47.64764765, 47.74774775, 47.84784785, 47.94794795,\n 48.04804805, 48.14814815, 48.24824825, 48.34834835,\n 48.44844845, 48.54854855, 48.64864865, 48.74874875,\n 48.84884885, 48.94894895, 49.04904905, 49.14914915,\n 49.24924925, 49.34934935, 49.44944945, 49.54954955,\n 49.64964965, 49.74974975, 49.84984985, 49.94994995,\n 50.05005005, 50.15015015, 50.25025025, 50.35035035,\n 50.45045045, 50.55055055, 50.65065065, 50.75075075,\n 50.85085085, 50.95095095, 51.05105105, 51.15115115,\n 51.25125125, 51.35135135, 51.45145145, 51.55155155,\n 51.65165165, 51.75175175, 51.85185185, 51.95195195,\n 52.05205205, 52.15215215, 52.25225225, 52.35235235,\n 52.45245245, 52.55255255, 52.65265265, 52.75275275,\n 52.85285285, 52.95295295, 53.05305305, 53.15315315,\n 53.25325325, 53.35335335, 53.45345345, 53.55355355,\n 53.65365365, 53.75375375, 53.85385385, 53.95395395,\n 54.05405405, 54.15415415, 54.25425425, 54.35435435,\n 54.45445445, 54.55455455, 54.65465465, 54.75475475,\n 54.85485485, 54.95495495, 55.05505506, 55.15515516,\n 55.25525526, 55.35535536, 55.45545546, 55.55555556,\n 55.65565566, 55.75575576, 55.85585586, 55.95595596,\n 56.05605606, 56.15615616, 56.25625626, 56.35635636,\n 56.45645646, 56.55655656, 56.65665666, 56.75675676,\n 56.85685686, 56.95695696, 57.05705706, 57.15715716,\n 57.25725726, 57.35735736, 57.45745746, 57.55755756,\n 57.65765766, 57.75775776, 57.85785786, 57.95795796,\n 58.05805806, 58.15815816, 58.25825826, 58.35835836,\n 58.45845846, 58.55855856, 58.65865866, 58.75875876,\n 58.85885886, 58.95895896, 59.05905906, 59.15915916,\n 59.25925926, 59.35935936, 59.45945946, 59.55955956,\n 59.65965966, 59.75975976, 59.85985986, 59.95995996,\n 60.06006006, 60.16016016, 60.26026026, 60.36036036,\n 60.46046046, 60.56056056, 60.66066066, 60.76076076,\n 60.86086086, 60.96096096, 61.06106106, 61.16116116,\n 61.26126126, 61.36136136, 61.46146146, 61.56156156,\n 61.66166166, 61.76176176, 61.86186186, 61.96196196,\n 62.06206206, 62.16216216, 62.26226226, 62.36236236,\n 62.46246246, 62.56256256, 62.66266266, 62.76276276,\n 62.86286286, 62.96296296, 63.06306306, 63.16316316,\n 63.26326326, 63.36336336, 63.46346346, 63.56356356,\n 63.66366366, 63.76376376, 63.86386386, 63.96396396,\n 64.06406406, 64.16416416, 64.26426426, 64.36436436,\n 64.46446446, 64.56456456, 64.66466466, 64.76476476,\n 64.86486486, 64.96496496, 65.06506507, 65.16516517,\n 65.26526527, 65.36536537, 65.46546547, 65.56556557,\n 65.66566567, 65.76576577, 65.86586587, 65.96596597,\n 66.06606607, 66.16616617, 66.26626627, 66.36636637,\n 66.46646647, 66.56656657, 66.66666667, 66.76676677,\n 66.86686687, 66.96696697, 67.06706707, 67.16716717,\n 67.26726727, 67.36736737, 67.46746747, 67.56756757,\n 67.66766767, 67.76776777, 67.86786787, 67.96796797,\n 68.06806807, 68.16816817, 68.26826827, 68.36836837,\n 68.46846847, 68.56856857, 68.66866867, 68.76876877,\n 68.86886887, 68.96896897, 69.06906907, 69.16916917,\n 69.26926927, 69.36936937, 69.46946947, 69.56956957,\n 69.66966967, 69.76976977, 69.86986987, 69.96996997,\n 70.07007007, 70.17017017, 70.27027027, 70.37037037,\n 70.47047047, 70.57057057, 70.67067067, 70.77077077,\n 70.87087087, 70.97097097, 71.07107107, 71.17117117,\n 71.27127127, 71.37137137, 71.47147147, 71.57157157,\n 71.67167167, 71.77177177, 71.87187187, 71.97197197,\n 72.07207207, 72.17217217, 72.27227227, 72.37237237,\n 72.47247247, 72.57257257, 72.67267267, 72.77277277,\n 72.87287287, 72.97297297, 73.07307307, 73.17317317,\n 73.27327327, 73.37337337, 73.47347347, 73.57357357,\n 73.67367367, 73.77377377, 73.87387387, 73.97397397,\n 74.07407407, 74.17417417, 74.27427427, 74.37437437,\n 74.47447447, 74.57457457, 74.67467467, 74.77477477,\n 74.87487487, 74.97497497, 75.07507508, 75.17517518,\n 75.27527528, 75.37537538, 75.47547548, 75.57557558,\n 75.67567568, 75.77577578, 75.87587588, 75.97597598,\n 76.07607608, 76.17617618, 76.27627628, 76.37637638,\n 76.47647648, 76.57657658, 76.67667668, 76.77677678,\n 76.87687688, 76.97697698, 77.07707708, 77.17717718,\n 77.27727728, 77.37737738, 77.47747748, 77.57757758,\n 77.67767768, 77.77777778, 77.87787788, 77.97797798,\n 78.07807808, 78.17817818, 78.27827828, 78.37837838,\n 78.47847848, 78.57857858, 78.67867868, 78.77877878,\n 78.87887888, 78.97897898, 79.07907908, 79.17917918,\n 79.27927928, 79.37937938, 79.47947948, 79.57957958,\n 79.67967968, 79.77977978, 79.87987988, 79.97997998,\n 80.08008008, 80.18018018, 80.28028028, 80.38038038,\n 80.48048048, 80.58058058, 80.68068068, 80.78078078,\n 80.88088088, 80.98098098, 81.08108108, 81.18118118,\n 81.28128128, 81.38138138, 81.48148148, 81.58158158,\n 81.68168168, 81.78178178, 81.88188188, 81.98198198,\n 82.08208208, 82.18218218, 82.28228228, 82.38238238,\n 82.48248248, 82.58258258, 82.68268268, 82.78278278,\n 82.88288288, 82.98298298, 83.08308308, 83.18318318,\n 83.28328328, 83.38338338, 83.48348348, 83.58358358,\n 83.68368368, 83.78378378, 83.88388388, 83.98398398,\n 84.08408408, 84.18418418, 84.28428428, 84.38438438,\n 84.48448448, 84.58458458, 84.68468468, 84.78478478,\n 84.88488488, 84.98498498, 85.08508509, 85.18518519,\n 85.28528529, 85.38538539, 85.48548549, 85.58558559,\n 85.68568569, 85.78578579, 85.88588589, 85.98598599,\n 86.08608609, 86.18618619, 86.28628629, 86.38638639,\n 86.48648649, 86.58658659, 86.68668669, 86.78678679,\n 86.88688689, 86.98698699, 87.08708709, 87.18718719,\n 87.28728729, 87.38738739, 87.48748749, 87.58758759,\n 87.68768769, 87.78778779, 87.88788789, 87.98798799,\n 88.08808809, 88.18818819, 88.28828829, 88.38838839,\n 88.48848849, 88.58858859, 88.68868869, 88.78878879,\n 88.88888889, 88.98898899, 89.08908909, 89.18918919,\n 89.28928929, 89.38938939, 89.48948949, 89.58958959,\n 89.68968969, 89.78978979, 89.88988989, 89.98998999,\n 90.09009009, 90.19019019, 90.29029029, 90.39039039,\n 90.49049049, 90.59059059, 90.69069069, 90.79079079,\n 90.89089089, 90.99099099, 91.09109109, 91.19119119,\n 91.29129129, 91.39139139, 91.49149149, 91.59159159,\n 91.69169169, 91.79179179, 91.89189189, 91.99199199,\n 92.09209209, 92.19219219, 92.29229229, 92.39239239,\n 92.49249249, 92.59259259, 92.69269269, 92.79279279,\n 92.89289289, 92.99299299, 93.09309309, 93.19319319,\n 93.29329329, 93.39339339, 93.49349349, 93.59359359,\n 93.69369369, 93.79379379, 93.89389389, 93.99399399,\n 94.09409409, 94.19419419, 94.29429429, 94.39439439,\n 94.49449449, 94.59459459, 94.69469469, 94.79479479,\n 94.89489489, 94.99499499, 95.0950951 , 95.1951952 ,\n 95.2952953 , 95.3953954 , 95.4954955 , 95.5955956 ,\n 95.6956957 , 95.7957958 , 95.8958959 , 95.995996 ,\n 96.0960961 , 96.1961962 , 96.2962963 , 96.3963964 ,\n 96.4964965 , 96.5965966 , 96.6966967 , 96.7967968 ,\n 96.8968969 , 96.996997 , 97.0970971 , 97.1971972 ,\n 97.2972973 , 97.3973974 , 97.4974975 , 97.5975976 ,\n 97.6976977 , 97.7977978 , 97.8978979 , 97.997998 ,\n 98.0980981 , 98.1981982 , 98.2982983 , 98.3983984 ,\n 98.4984985 , 98.5985986 , 98.6986987 , 98.7987988 ,\n 98.8988989 , 98.998999 , 99.0990991 , 99.1991992 ,\n 99.2992993 , 99.3993994 , 99.4994995 , 99.5995996 ,\n 99.6996997 , 99.7997998 , 99.8998999 , 100. ]), array([0. , 0.00017471, 0.00034942, 0.00052412, 0.00069883,\n 0.00087354, 0.00104825, 0.00122295, 0.00139766, 0.00157237,\n 0.00174708, 0.00192178, 0.00209649, 0.0022712 , 0.00244591,\n 0.00262061, 0.00279532, 0.00297003, 0.00314474, 0.00331945,\n 0.00349415, 0.00366886, 0.00384357, 0.00401828, 0.00419298,\n 0.00436769, 0.0045424 , 0.00471711, 0.00489181, 0.00506652,\n 0.00524123, 0.00541594, 0.00559064, 0.00576535, 0.00594006,\n 0.00611477, 0.00628947, 0.00646418, 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0.09067326,\n 0.09084797, 0.09102268, 0.09119738, 0.09137209, 0.0915468 ,\n 0.09172151, 0.09189621, 0.09207092, 0.09224563, 0.09242034,\n 0.09259505, 0.09276975, 0.09294446, 0.09311917, 0.09329388,\n 0.09346858, 0.09364329, 0.093818 , 0.09399271, 0.09416741,\n 0.09434212, 0.09451683, 0.09469154, 0.09486624, 0.09504095,\n 0.09521566, 0.09539037, 0.09556508, 0.09573978, 0.09591449,\n 0.0960892 , 0.09626391, 0.09643861, 0.09661332, 0.09678803,\n 0.09696274, 0.09713744, 0.09731215, 0.09748686, 0.09766157,\n 0.09783627, 0.09801098, 0.09818569, 0.0983604 , 0.0985351 ,\n 0.09870981, 0.09888452, 0.09905923, 0.09923394, 0.09940864,\n 0.09958335, 0.09975806, 0.09993277, 0.10010747, 0.10028218,\n 0.10045689, 0.1006316 , 0.1008063 , 0.10098101, 0.10115572,\n 0.10133043, 0.10150513, 0.10167984, 0.10185455, 0.10202926,\n 0.10220397, 0.10237867, 0.10255338, 0.10272809, 0.1029028 ,\n 0.1030775 , 0.10325221, 0.10342692, 0.10360163, 0.10377633,\n 0.10395104, 0.10412575, 0.10430046, 0.10447516, 0.10464987,\n 0.10482458, 0.10499929, 0.10517399, 0.1053487 , 0.10552341,\n 0.10569812, 0.10587283, 0.10604753, 0.10622224, 0.10639695,\n 0.10657166, 0.10674636, 0.10692107, 0.10709578, 0.10727049,\n 0.10744519, 0.1076199 , 0.10779461, 0.10796932, 0.10814402,\n 0.10831873, 0.10849344, 0.10866815, 0.10884286, 0.10901756,\n 0.10919227, 0.10936698, 0.10954169, 0.10971639, 0.1098911 ,\n 0.11006581, 0.11024052, 0.11041522, 0.11058993, 0.11076464,\n 0.11093935, 0.11111405, 0.11128876, 0.11146347, 0.11163818,\n 0.11181289, 0.11198759, 0.1121623 , 0.11233701, 0.11251172,\n 0.11268642, 0.11286113, 0.11303584, 0.11321055, 0.11338525,\n 0.11355996, 0.11373467, 0.11390938, 0.11408408, 0.11425879,\n 0.1144335 , 0.11460821, 0.11478291, 0.11495762, 0.11513233,\n 0.11530704, 0.11548175, 0.11565645, 0.11583116, 0.11600587,\n 0.11618058, 0.11635528, 0.11652999, 0.1167047 , 0.11687941,\n 0.11705411, 0.11722882, 0.11740353, 0.11757824, 0.11775294,\n 0.11792765, 0.11810236, 0.11827707, 0.11845178, 0.11862648,\n 0.11880119, 0.1189759 , 0.11915061, 0.11932531, 0.11950002,\n 0.11967473, 0.11984944, 0.12002414, 0.12019885, 0.12037356,\n 0.12054827, 0.12072297, 0.12089768, 0.12107239, 0.1212471 ,\n 0.1214218 , 0.12159651, 0.12177122, 0.12194593, 0.12212064,\n 0.12229534, 0.12247005, 0.12264476, 0.12281947, 0.12299417,\n 0.12316888, 0.12334359, 0.1235183 , 0.123693 , 0.12386771,\n 0.12404242, 0.12421713, 0.12439183, 0.12456654, 0.12474125,\n 0.12491596, 0.12509067, 0.12526537, 0.12544008, 0.12561479,\n 0.1257895 , 0.1259642 , 0.12613891, 0.12631362, 0.12648833,\n 0.12666303, 0.12683774, 0.12701245, 0.12718716, 0.12736186,\n 0.12753657, 0.12771128, 0.12788599, 0.12806069, 0.1282354 ,\n 0.12841011, 0.12858482, 0.12875953, 0.12893423, 0.12910894,\n 0.12928365, 0.12945836, 0.12963306, 0.12980777, 0.12998248,\n 0.13015719, 0.13033189, 0.1305066 , 0.13068131, 0.13085602,\n 0.13103072, 0.13120543, 0.13138014, 0.13155485, 0.13172956,\n 0.13190426, 0.13207897, 0.13225368, 0.13242839, 0.13260309,\n 0.1327778 , 0.13295251, 0.13312722, 0.13330192, 0.13347663,\n 0.13365134, 0.13382605, 0.13400075, 0.13417546, 0.13435017,\n 0.13452488, 0.13469958, 0.13487429, 0.135049 , 0.13522371,\n 0.13539842, 0.13557312, 0.13574783, 0.13592254, 0.13609725,\n 0.13627195, 0.13644666, 0.13662137, 0.13679608, 0.13697078,\n 0.13714549, 0.1373202 , 0.13749491, 0.13766961, 0.13784432,\n 0.13801903, 0.13819374, 0.13836845, 0.13854315, 0.13871786,\n 0.13889257, 0.13906728, 0.13924198, 0.13941669, 0.1395914 ,\n 0.13976611, 0.13994081, 0.14011552, 0.14029023, 0.14046494,\n 0.14063964, 0.14081435, 0.14098906, 0.14116377, 0.14133847,\n 0.14151318, 0.14168789, 0.1418626 , 0.14203731, 0.14221201,\n 0.14238672, 0.14256143, 0.14273614, 0.14291084, 0.14308555,\n 0.14326026, 0.14343497, 0.14360967, 0.14378438, 0.14395909,\n 0.1441338 , 0.1443085 , 0.14448321, 0.14465792, 0.14483263,\n 0.14500734, 0.14518204, 0.14535675, 0.14553146, 0.14570617,\n 0.14588087, 0.14605558, 0.14623029, 0.146405 , 0.1465797 ,\n 0.14675441, 0.14692912, 0.14710383, 0.14727853, 0.14745324,\n 0.14762795, 0.14780266, 0.14797737, 0.14815207, 0.14832678,\n 0.14850149, 0.1486762 , 0.1488509 , 0.14902561, 0.14920032,\n 0.14937503, 0.14954973, 0.14972444, 0.14989915, 0.15007386,\n 0.15024856, 0.15042327, 0.15059798, 0.15077269, 0.15094739,\n 0.1511221 , 0.15129681, 0.15147152, 0.15164623, 0.15182093,\n 0.15199564, 0.15217035, 0.15234506, 0.15251976, 0.15269447,\n 0.15286918, 0.15304389, 0.15321859, 0.1533933 , 0.15356801,\n 0.15374272, 0.15391742, 0.15409213, 0.15426684, 0.15444155,\n 0.15461626, 0.15479096, 0.15496567, 0.15514038, 0.15531509,\n 0.15548979, 0.1556645 , 0.15583921, 0.15601392, 0.15618862,\n 0.15636333, 0.15653804, 0.15671275, 0.15688745, 0.15706216,\n 0.15723687, 0.15741158, 0.15758628, 0.15776099, 0.1579357 ,\n 0.15811041, 0.15828512, 0.15845982, 0.15863453, 0.15880924,\n 0.15898395, 0.15915865, 0.15933336, 0.15950807, 0.15968278,\n 0.15985748, 0.16003219, 0.1602069 , 0.16038161, 0.16055631,\n 0.16073102, 0.16090573, 0.16108044, 0.16125515, 0.16142985,\n 0.16160456, 0.16177927, 0.16195398, 0.16212868, 0.16230339,\n 0.1624781 , 0.16265281, 0.16282751, 0.16300222, 0.16317693,\n 0.16335164, 0.16352634, 0.16370105, 0.16387576, 0.16405047,\n 0.16422517, 0.16439988, 0.16457459, 0.1647493 , 0.16492401,\n 0.16509871, 0.16527342, 0.16544813, 0.16562284, 0.16579754,\n 0.16597225, 0.16614696, 0.16632167, 0.16649637, 0.16667108,\n 0.16684579, 0.1670205 , 0.1671952 , 0.16736991, 0.16754462,\n 0.16771933, 0.16789404, 0.16806874, 0.16824345, 0.16841816,\n 0.16859287, 0.16876757, 0.16894228, 0.16911699, 0.1692917 ,\n 0.1694664 , 0.16964111, 0.16981582, 0.16999053, 0.17016523,\n 0.17033994, 0.17051465, 0.17068936, 0.17086406, 0.17103877,\n 0.17121348, 0.17138819, 0.1715629 , 0.1717376 , 0.17191231,\n 0.17208702, 0.17226173, 0.17243643, 0.17261114, 0.17278585,\n 0.17296056, 0.17313526, 0.17330997, 0.17348468, 0.17365939,\n 0.17383409, 0.1740088 , 0.17418351, 0.17435822, 0.17453293]), array([1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401]), {'signal': array([], dtype=float64), 'l': 0, 'u': 0}" + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mtod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m'signal'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'l'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'u'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0matm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mobserve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlinspace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m100\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1000\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlinspace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m180\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1000\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mones\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1000\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m65\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m180\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtod\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m: observe(): incompatible function arguments. The following argument types are supported:\n 1. (self: pycal._libcal.AtmSim, times: buffer, az: buffer, el: buffer, tod: buffer, fixed_r: float = -1.0) -> int\n\nInvoked with: , array([ 0. , 0.1001001 , 0.2002002 , 0.3003003 ,\n 0.4004004 , 0.5005005 , 0.6006006 , 0.7007007 ,\n 0.8008008 , 0.9009009 , 1.001001 , 1.1011011 ,\n 1.2012012 , 1.3013013 , 1.4014014 , 1.5015015 ,\n 1.6016016 , 1.7017017 , 1.8018018 , 1.9019019 ,\n 2.002002 , 2.1021021 , 2.2022022 , 2.3023023 ,\n 2.4024024 , 2.5025025 , 2.6026026 , 2.7027027 ,\n 2.8028028 , 2.9029029 , 3.003003 , 3.1031031 ,\n 3.2032032 , 3.3033033 , 3.4034034 , 3.5035035 ,\n 3.6036036 , 3.7037037 , 3.8038038 , 3.9039039 ,\n 4.004004 , 4.1041041 , 4.2042042 , 4.3043043 ,\n 4.4044044 , 4.5045045 , 4.6046046 , 4.7047047 ,\n 4.8048048 , 4.9049049 , 5.00500501, 5.10510511,\n 5.20520521, 5.30530531, 5.40540541, 5.50550551,\n 5.60560561, 5.70570571, 5.80580581, 5.90590591,\n 6.00600601, 6.10610611, 6.20620621, 6.30630631,\n 6.40640641, 6.50650651, 6.60660661, 6.70670671,\n 6.80680681, 6.90690691, 7.00700701, 7.10710711,\n 7.20720721, 7.30730731, 7.40740741, 7.50750751,\n 7.60760761, 7.70770771, 7.80780781, 7.90790791,\n 8.00800801, 8.10810811, 8.20820821, 8.30830831,\n 8.40840841, 8.50850851, 8.60860861, 8.70870871,\n 8.80880881, 8.90890891, 9.00900901, 9.10910911,\n 9.20920921, 9.30930931, 9.40940941, 9.50950951,\n 9.60960961, 9.70970971, 9.80980981, 9.90990991,\n 10.01001001, 10.11011011, 10.21021021, 10.31031031,\n 10.41041041, 10.51051051, 10.61061061, 10.71071071,\n 10.81081081, 10.91091091, 11.01101101, 11.11111111,\n 11.21121121, 11.31131131, 11.41141141, 11.51151151,\n 11.61161161, 11.71171171, 11.81181181, 11.91191191,\n 12.01201201, 12.11211211, 12.21221221, 12.31231231,\n 12.41241241, 12.51251251, 12.61261261, 12.71271271,\n 12.81281281, 12.91291291, 13.01301301, 13.11311311,\n 13.21321321, 13.31331331, 13.41341341, 13.51351351,\n 13.61361361, 13.71371371, 13.81381381, 13.91391391,\n 14.01401401, 14.11411411, 14.21421421, 14.31431431,\n 14.41441441, 14.51451451, 14.61461461, 14.71471471,\n 14.81481481, 14.91491491, 15.01501502, 15.11511512,\n 15.21521522, 15.31531532, 15.41541542, 15.51551552,\n 15.61561562, 15.71571572, 15.81581582, 15.91591592,\n 16.01601602, 16.11611612, 16.21621622, 16.31631632,\n 16.41641642, 16.51651652, 16.61661662, 16.71671672,\n 16.81681682, 16.91691692, 17.01701702, 17.11711712,\n 17.21721722, 17.31731732, 17.41741742, 17.51751752,\n 17.61761762, 17.71771772, 17.81781782, 17.91791792,\n 18.01801802, 18.11811812, 18.21821822, 18.31831832,\n 18.41841842, 18.51851852, 18.61861862, 18.71871872,\n 18.81881882, 18.91891892, 19.01901902, 19.11911912,\n 19.21921922, 19.31931932, 19.41941942, 19.51951952,\n 19.61961962, 19.71971972, 19.81981982, 19.91991992,\n 20.02002002, 20.12012012, 20.22022022, 20.32032032,\n 20.42042042, 20.52052052, 20.62062062, 20.72072072,\n 20.82082082, 20.92092092, 21.02102102, 21.12112112,\n 21.22122122, 21.32132132, 21.42142142, 21.52152152,\n 21.62162162, 21.72172172, 21.82182182, 21.92192192,\n 22.02202202, 22.12212212, 22.22222222, 22.32232232,\n 22.42242242, 22.52252252, 22.62262262, 22.72272272,\n 22.82282282, 22.92292292, 23.02302302, 23.12312312,\n 23.22322322, 23.32332332, 23.42342342, 23.52352352,\n 23.62362362, 23.72372372, 23.82382382, 23.92392392,\n 24.02402402, 24.12412412, 24.22422422, 24.32432432,\n 24.42442442, 24.52452452, 24.62462462, 24.72472472,\n 24.82482482, 24.92492492, 25.02502503, 25.12512513,\n 25.22522523, 25.32532533, 25.42542543, 25.52552553,\n 25.62562563, 25.72572573, 25.82582583, 25.92592593,\n 26.02602603, 26.12612613, 26.22622623, 26.32632633,\n 26.42642643, 26.52652653, 26.62662663, 26.72672673,\n 26.82682683, 26.92692693, 27.02702703, 27.12712713,\n 27.22722723, 27.32732733, 27.42742743, 27.52752753,\n 27.62762763, 27.72772773, 27.82782783, 27.92792793,\n 28.02802803, 28.12812813, 28.22822823, 28.32832833,\n 28.42842843, 28.52852853, 28.62862863, 28.72872873,\n 28.82882883, 28.92892893, 29.02902903, 29.12912913,\n 29.22922923, 29.32932933, 29.42942943, 29.52952953,\n 29.62962963, 29.72972973, 29.82982983, 29.92992993,\n 30.03003003, 30.13013013, 30.23023023, 30.33033033,\n 30.43043043, 30.53053053, 30.63063063, 30.73073073,\n 30.83083083, 30.93093093, 31.03103103, 31.13113113,\n 31.23123123, 31.33133133, 31.43143143, 31.53153153,\n 31.63163163, 31.73173173, 31.83183183, 31.93193193,\n 32.03203203, 32.13213213, 32.23223223, 32.33233233,\n 32.43243243, 32.53253253, 32.63263263, 32.73273273,\n 32.83283283, 32.93293293, 33.03303303, 33.13313313,\n 33.23323323, 33.33333333, 33.43343343, 33.53353353,\n 33.63363363, 33.73373373, 33.83383383, 33.93393393,\n 34.03403403, 34.13413413, 34.23423423, 34.33433433,\n 34.43443443, 34.53453453, 34.63463463, 34.73473473,\n 34.83483483, 34.93493493, 35.03503504, 35.13513514,\n 35.23523524, 35.33533534, 35.43543544, 35.53553554,\n 35.63563564, 35.73573574, 35.83583584, 35.93593594,\n 36.03603604, 36.13613614, 36.23623624, 36.33633634,\n 36.43643644, 36.53653654, 36.63663664, 36.73673674,\n 36.83683684, 36.93693694, 37.03703704, 37.13713714,\n 37.23723724, 37.33733734, 37.43743744, 37.53753754,\n 37.63763764, 37.73773774, 37.83783784, 37.93793794,\n 38.03803804, 38.13813814, 38.23823824, 38.33833834,\n 38.43843844, 38.53853854, 38.63863864, 38.73873874,\n 38.83883884, 38.93893894, 39.03903904, 39.13913914,\n 39.23923924, 39.33933934, 39.43943944, 39.53953954,\n 39.63963964, 39.73973974, 39.83983984, 39.93993994,\n 40.04004004, 40.14014014, 40.24024024, 40.34034034,\n 40.44044044, 40.54054054, 40.64064064, 40.74074074,\n 40.84084084, 40.94094094, 41.04104104, 41.14114114,\n 41.24124124, 41.34134134, 41.44144144, 41.54154154,\n 41.64164164, 41.74174174, 41.84184184, 41.94194194,\n 42.04204204, 42.14214214, 42.24224224, 42.34234234,\n 42.44244244, 42.54254254, 42.64264264, 42.74274274,\n 42.84284284, 42.94294294, 43.04304304, 43.14314314,\n 43.24324324, 43.34334334, 43.44344344, 43.54354354,\n 43.64364364, 43.74374374, 43.84384384, 43.94394394,\n 44.04404404, 44.14414414, 44.24424424, 44.34434434,\n 44.44444444, 44.54454454, 44.64464464, 44.74474474,\n 44.84484484, 44.94494494, 45.04504505, 45.14514515,\n 45.24524525, 45.34534535, 45.44544545, 45.54554555,\n 45.64564565, 45.74574575, 45.84584585, 45.94594595,\n 46.04604605, 46.14614615, 46.24624625, 46.34634635,\n 46.44644645, 46.54654655, 46.64664665, 46.74674675,\n 46.84684685, 46.94694695, 47.04704705, 47.14714715,\n 47.24724725, 47.34734735, 47.44744745, 47.54754755,\n 47.64764765, 47.74774775, 47.84784785, 47.94794795,\n 48.04804805, 48.14814815, 48.24824825, 48.34834835,\n 48.44844845, 48.54854855, 48.64864865, 48.74874875,\n 48.84884885, 48.94894895, 49.04904905, 49.14914915,\n 49.24924925, 49.34934935, 49.44944945, 49.54954955,\n 49.64964965, 49.74974975, 49.84984985, 49.94994995,\n 50.05005005, 50.15015015, 50.25025025, 50.35035035,\n 50.45045045, 50.55055055, 50.65065065, 50.75075075,\n 50.85085085, 50.95095095, 51.05105105, 51.15115115,\n 51.25125125, 51.35135135, 51.45145145, 51.55155155,\n 51.65165165, 51.75175175, 51.85185185, 51.95195195,\n 52.05205205, 52.15215215, 52.25225225, 52.35235235,\n 52.45245245, 52.55255255, 52.65265265, 52.75275275,\n 52.85285285, 52.95295295, 53.05305305, 53.15315315,\n 53.25325325, 53.35335335, 53.45345345, 53.55355355,\n 53.65365365, 53.75375375, 53.85385385, 53.95395395,\n 54.05405405, 54.15415415, 54.25425425, 54.35435435,\n 54.45445445, 54.55455455, 54.65465465, 54.75475475,\n 54.85485485, 54.95495495, 55.05505506, 55.15515516,\n 55.25525526, 55.35535536, 55.45545546, 55.55555556,\n 55.65565566, 55.75575576, 55.85585586, 55.95595596,\n 56.05605606, 56.15615616, 56.25625626, 56.35635636,\n 56.45645646, 56.55655656, 56.65665666, 56.75675676,\n 56.85685686, 56.95695696, 57.05705706, 57.15715716,\n 57.25725726, 57.35735736, 57.45745746, 57.55755756,\n 57.65765766, 57.75775776, 57.85785786, 57.95795796,\n 58.05805806, 58.15815816, 58.25825826, 58.35835836,\n 58.45845846, 58.55855856, 58.65865866, 58.75875876,\n 58.85885886, 58.95895896, 59.05905906, 59.15915916,\n 59.25925926, 59.35935936, 59.45945946, 59.55955956,\n 59.65965966, 59.75975976, 59.85985986, 59.95995996,\n 60.06006006, 60.16016016, 60.26026026, 60.36036036,\n 60.46046046, 60.56056056, 60.66066066, 60.76076076,\n 60.86086086, 60.96096096, 61.06106106, 61.16116116,\n 61.26126126, 61.36136136, 61.46146146, 61.56156156,\n 61.66166166, 61.76176176, 61.86186186, 61.96196196,\n 62.06206206, 62.16216216, 62.26226226, 62.36236236,\n 62.46246246, 62.56256256, 62.66266266, 62.76276276,\n 62.86286286, 62.96296296, 63.06306306, 63.16316316,\n 63.26326326, 63.36336336, 63.46346346, 63.56356356,\n 63.66366366, 63.76376376, 63.86386386, 63.96396396,\n 64.06406406, 64.16416416, 64.26426426, 64.36436436,\n 64.46446446, 64.56456456, 64.66466466, 64.76476476,\n 64.86486486, 64.96496496, 65.06506507, 65.16516517,\n 65.26526527, 65.36536537, 65.46546547, 65.56556557,\n 65.66566567, 65.76576577, 65.86586587, 65.96596597,\n 66.06606607, 66.16616617, 66.26626627, 66.36636637,\n 66.46646647, 66.56656657, 66.66666667, 66.76676677,\n 66.86686687, 66.96696697, 67.06706707, 67.16716717,\n 67.26726727, 67.36736737, 67.46746747, 67.56756757,\n 67.66766767, 67.76776777, 67.86786787, 67.96796797,\n 68.06806807, 68.16816817, 68.26826827, 68.36836837,\n 68.46846847, 68.56856857, 68.66866867, 68.76876877,\n 68.86886887, 68.96896897, 69.06906907, 69.16916917,\n 69.26926927, 69.36936937, 69.46946947, 69.56956957,\n 69.66966967, 69.76976977, 69.86986987, 69.96996997,\n 70.07007007, 70.17017017, 70.27027027, 70.37037037,\n 70.47047047, 70.57057057, 70.67067067, 70.77077077,\n 70.87087087, 70.97097097, 71.07107107, 71.17117117,\n 71.27127127, 71.37137137, 71.47147147, 71.57157157,\n 71.67167167, 71.77177177, 71.87187187, 71.97197197,\n 72.07207207, 72.17217217, 72.27227227, 72.37237237,\n 72.47247247, 72.57257257, 72.67267267, 72.77277277,\n 72.87287287, 72.97297297, 73.07307307, 73.17317317,\n 73.27327327, 73.37337337, 73.47347347, 73.57357357,\n 73.67367367, 73.77377377, 73.87387387, 73.97397397,\n 74.07407407, 74.17417417, 74.27427427, 74.37437437,\n 74.47447447, 74.57457457, 74.67467467, 74.77477477,\n 74.87487487, 74.97497497, 75.07507508, 75.17517518,\n 75.27527528, 75.37537538, 75.47547548, 75.57557558,\n 75.67567568, 75.77577578, 75.87587588, 75.97597598,\n 76.07607608, 76.17617618, 76.27627628, 76.37637638,\n 76.47647648, 76.57657658, 76.67667668, 76.77677678,\n 76.87687688, 76.97697698, 77.07707708, 77.17717718,\n 77.27727728, 77.37737738, 77.47747748, 77.57757758,\n 77.67767768, 77.77777778, 77.87787788, 77.97797798,\n 78.07807808, 78.17817818, 78.27827828, 78.37837838,\n 78.47847848, 78.57857858, 78.67867868, 78.77877878,\n 78.87887888, 78.97897898, 79.07907908, 79.17917918,\n 79.27927928, 79.37937938, 79.47947948, 79.57957958,\n 79.67967968, 79.77977978, 79.87987988, 79.97997998,\n 80.08008008, 80.18018018, 80.28028028, 80.38038038,\n 80.48048048, 80.58058058, 80.68068068, 80.78078078,\n 80.88088088, 80.98098098, 81.08108108, 81.18118118,\n 81.28128128, 81.38138138, 81.48148148, 81.58158158,\n 81.68168168, 81.78178178, 81.88188188, 81.98198198,\n 82.08208208, 82.18218218, 82.28228228, 82.38238238,\n 82.48248248, 82.58258258, 82.68268268, 82.78278278,\n 82.88288288, 82.98298298, 83.08308308, 83.18318318,\n 83.28328328, 83.38338338, 83.48348348, 83.58358358,\n 83.68368368, 83.78378378, 83.88388388, 83.98398398,\n 84.08408408, 84.18418418, 84.28428428, 84.38438438,\n 84.48448448, 84.58458458, 84.68468468, 84.78478478,\n 84.88488488, 84.98498498, 85.08508509, 85.18518519,\n 85.28528529, 85.38538539, 85.48548549, 85.58558559,\n 85.68568569, 85.78578579, 85.88588589, 85.98598599,\n 86.08608609, 86.18618619, 86.28628629, 86.38638639,\n 86.48648649, 86.58658659, 86.68668669, 86.78678679,\n 86.88688689, 86.98698699, 87.08708709, 87.18718719,\n 87.28728729, 87.38738739, 87.48748749, 87.58758759,\n 87.68768769, 87.78778779, 87.88788789, 87.98798799,\n 88.08808809, 88.18818819, 88.28828829, 88.38838839,\n 88.48848849, 88.58858859, 88.68868869, 88.78878879,\n 88.88888889, 88.98898899, 89.08908909, 89.18918919,\n 89.28928929, 89.38938939, 89.48948949, 89.58958959,\n 89.68968969, 89.78978979, 89.88988989, 89.98998999,\n 90.09009009, 90.19019019, 90.29029029, 90.39039039,\n 90.49049049, 90.59059059, 90.69069069, 90.79079079,\n 90.89089089, 90.99099099, 91.09109109, 91.19119119,\n 91.29129129, 91.39139139, 91.49149149, 91.59159159,\n 91.69169169, 91.79179179, 91.89189189, 91.99199199,\n 92.09209209, 92.19219219, 92.29229229, 92.39239239,\n 92.49249249, 92.59259259, 92.69269269, 92.79279279,\n 92.89289289, 92.99299299, 93.09309309, 93.19319319,\n 93.29329329, 93.39339339, 93.49349349, 93.59359359,\n 93.69369369, 93.79379379, 93.89389389, 93.99399399,\n 94.09409409, 94.19419419, 94.29429429, 94.39439439,\n 94.49449449, 94.59459459, 94.69469469, 94.79479479,\n 94.89489489, 94.99499499, 95.0950951 , 95.1951952 ,\n 95.2952953 , 95.3953954 , 95.4954955 , 95.5955956 ,\n 95.6956957 , 95.7957958 , 95.8958959 , 95.995996 ,\n 96.0960961 , 96.1961962 , 96.2962963 , 96.3963964 ,\n 96.4964965 , 96.5965966 , 96.6966967 , 96.7967968 ,\n 96.8968969 , 96.996997 , 97.0970971 , 97.1971972 ,\n 97.2972973 , 97.3973974 , 97.4974975 , 97.5975976 ,\n 97.6976977 , 97.7977978 , 97.8978979 , 97.997998 ,\n 98.0980981 , 98.1981982 , 98.2982983 , 98.3983984 ,\n 98.4984985 , 98.5985986 , 98.6986987 , 98.7987988 ,\n 98.8988989 , 98.998999 , 99.0990991 , 99.1991992 ,\n 99.2992993 , 99.3993994 , 99.4994995 , 99.5995996 ,\n 99.6996997 , 99.7997998 , 99.8998999 , 100. ]), array([0. , 0.00017471, 0.00034942, 0.00052412, 0.00069883,\n 0.00087354, 0.00104825, 0.00122295, 0.00139766, 0.00157237,\n 0.00174708, 0.00192178, 0.00209649, 0.0022712 , 0.00244591,\n 0.00262061, 0.00279532, 0.00297003, 0.00314474, 0.00331945,\n 0.00349415, 0.00366886, 0.00384357, 0.00401828, 0.00419298,\n 0.00436769, 0.0045424 , 0.00471711, 0.00489181, 0.00506652,\n 0.00524123, 0.00541594, 0.00559064, 0.00576535, 0.00594006,\n 0.00611477, 0.00628947, 0.00646418, 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0.06272004,\n 0.06289475, 0.06306946, 0.06324416, 0.06341887, 0.06359358,\n 0.06376829, 0.06394299, 0.0641177 , 0.06429241, 0.06446712,\n 0.06464182, 0.06481653, 0.06499124, 0.06516595, 0.06534065,\n 0.06551536, 0.06569007, 0.06586478, 0.06603949, 0.06621419,\n 0.0663889 , 0.06656361, 0.06673832, 0.06691302, 0.06708773,\n 0.06726244, 0.06743715, 0.06761185, 0.06778656, 0.06796127,\n 0.06813598, 0.06831068, 0.06848539, 0.0686601 , 0.06883481,\n 0.06900951, 0.06918422, 0.06935893, 0.06953364, 0.06970835,\n 0.06988305, 0.07005776, 0.07023247, 0.07040718, 0.07058188,\n 0.07075659, 0.0709313 , 0.07110601, 0.07128071, 0.07145542,\n 0.07163013, 0.07180484, 0.07197954, 0.07215425, 0.07232896,\n 0.07250367, 0.07267838, 0.07285308, 0.07302779, 0.0732025 ,\n 0.07337721, 0.07355191, 0.07372662, 0.07390133, 0.07407604,\n 0.07425074, 0.07442545, 0.07460016, 0.07477487, 0.07494957,\n 0.07512428, 0.07529899, 0.0754737 , 0.07564841, 0.07582311,\n 0.07599782, 0.07617253, 0.07634724, 0.07652194, 0.07669665,\n 0.07687136, 0.07704607, 0.07722077, 0.07739548, 0.07757019,\n 0.0777449 , 0.0779196 , 0.07809431, 0.07826902, 0.07844373,\n 0.07861843, 0.07879314, 0.07896785, 0.07914256, 0.07931727,\n 0.07949197, 0.07966668, 0.07984139, 0.0800161 , 0.0801908 ,\n 0.08036551, 0.08054022, 0.08071493, 0.08088963, 0.08106434,\n 0.08123905, 0.08141376, 0.08158846, 0.08176317, 0.08193788,\n 0.08211259, 0.0822873 , 0.082462 , 0.08263671, 0.08281142,\n 0.08298613, 0.08316083, 0.08333554, 0.08351025, 0.08368496,\n 0.08385966, 0.08403437, 0.08420908, 0.08438379, 0.08455849,\n 0.0847332 , 0.08490791, 0.08508262, 0.08525732, 0.08543203,\n 0.08560674, 0.08578145, 0.08595616, 0.08613086, 0.08630557,\n 0.08648028, 0.08665499, 0.08682969, 0.0870044 , 0.08717911,\n 0.08735382, 0.08752852, 0.08770323, 0.08787794, 0.08805265,\n 0.08822735, 0.08840206, 0.08857677, 0.08875148, 0.08892619,\n 0.08910089, 0.0892756 , 0.08945031, 0.08962502, 0.08979972,\n 0.08997443, 0.09014914, 0.09032385, 0.09049855, 0.09067326,\n 0.09084797, 0.09102268, 0.09119738, 0.09137209, 0.0915468 ,\n 0.09172151, 0.09189621, 0.09207092, 0.09224563, 0.09242034,\n 0.09259505, 0.09276975, 0.09294446, 0.09311917, 0.09329388,\n 0.09346858, 0.09364329, 0.093818 , 0.09399271, 0.09416741,\n 0.09434212, 0.09451683, 0.09469154, 0.09486624, 0.09504095,\n 0.09521566, 0.09539037, 0.09556508, 0.09573978, 0.09591449,\n 0.0960892 , 0.09626391, 0.09643861, 0.09661332, 0.09678803,\n 0.09696274, 0.09713744, 0.09731215, 0.09748686, 0.09766157,\n 0.09783627, 0.09801098, 0.09818569, 0.0983604 , 0.0985351 ,\n 0.09870981, 0.09888452, 0.09905923, 0.09923394, 0.09940864,\n 0.09958335, 0.09975806, 0.09993277, 0.10010747, 0.10028218,\n 0.10045689, 0.1006316 , 0.1008063 , 0.10098101, 0.10115572,\n 0.10133043, 0.10150513, 0.10167984, 0.10185455, 0.10202926,\n 0.10220397, 0.10237867, 0.10255338, 0.10272809, 0.1029028 ,\n 0.1030775 , 0.10325221, 0.10342692, 0.10360163, 0.10377633,\n 0.10395104, 0.10412575, 0.10430046, 0.10447516, 0.10464987,\n 0.10482458, 0.10499929, 0.10517399, 0.1053487 , 0.10552341,\n 0.10569812, 0.10587283, 0.10604753, 0.10622224, 0.10639695,\n 0.10657166, 0.10674636, 0.10692107, 0.10709578, 0.10727049,\n 0.10744519, 0.1076199 , 0.10779461, 0.10796932, 0.10814402,\n 0.10831873, 0.10849344, 0.10866815, 0.10884286, 0.10901756,\n 0.10919227, 0.10936698, 0.10954169, 0.10971639, 0.1098911 ,\n 0.11006581, 0.11024052, 0.11041522, 0.11058993, 0.11076464,\n 0.11093935, 0.11111405, 0.11128876, 0.11146347, 0.11163818,\n 0.11181289, 0.11198759, 0.1121623 , 0.11233701, 0.11251172,\n 0.11268642, 0.11286113, 0.11303584, 0.11321055, 0.11338525,\n 0.11355996, 0.11373467, 0.11390938, 0.11408408, 0.11425879,\n 0.1144335 , 0.11460821, 0.11478291, 0.11495762, 0.11513233,\n 0.11530704, 0.11548175, 0.11565645, 0.11583116, 0.11600587,\n 0.11618058, 0.11635528, 0.11652999, 0.1167047 , 0.11687941,\n 0.11705411, 0.11722882, 0.11740353, 0.11757824, 0.11775294,\n 0.11792765, 0.11810236, 0.11827707, 0.11845178, 0.11862648,\n 0.11880119, 0.1189759 , 0.11915061, 0.11932531, 0.11950002,\n 0.11967473, 0.11984944, 0.12002414, 0.12019885, 0.12037356,\n 0.12054827, 0.12072297, 0.12089768, 0.12107239, 0.1212471 ,\n 0.1214218 , 0.12159651, 0.12177122, 0.12194593, 0.12212064,\n 0.12229534, 0.12247005, 0.12264476, 0.12281947, 0.12299417,\n 0.12316888, 0.12334359, 0.1235183 , 0.123693 , 0.12386771,\n 0.12404242, 0.12421713, 0.12439183, 0.12456654, 0.12474125,\n 0.12491596, 0.12509067, 0.12526537, 0.12544008, 0.12561479,\n 0.1257895 , 0.1259642 , 0.12613891, 0.12631362, 0.12648833,\n 0.12666303, 0.12683774, 0.12701245, 0.12718716, 0.12736186,\n 0.12753657, 0.12771128, 0.12788599, 0.12806069, 0.1282354 ,\n 0.12841011, 0.12858482, 0.12875953, 0.12893423, 0.12910894,\n 0.12928365, 0.12945836, 0.12963306, 0.12980777, 0.12998248,\n 0.13015719, 0.13033189, 0.1305066 , 0.13068131, 0.13085602,\n 0.13103072, 0.13120543, 0.13138014, 0.13155485, 0.13172956,\n 0.13190426, 0.13207897, 0.13225368, 0.13242839, 0.13260309,\n 0.1327778 , 0.13295251, 0.13312722, 0.13330192, 0.13347663,\n 0.13365134, 0.13382605, 0.13400075, 0.13417546, 0.13435017,\n 0.13452488, 0.13469958, 0.13487429, 0.135049 , 0.13522371,\n 0.13539842, 0.13557312, 0.13574783, 0.13592254, 0.13609725,\n 0.13627195, 0.13644666, 0.13662137, 0.13679608, 0.13697078,\n 0.13714549, 0.1373202 , 0.13749491, 0.13766961, 0.13784432,\n 0.13801903, 0.13819374, 0.13836845, 0.13854315, 0.13871786,\n 0.13889257, 0.13906728, 0.13924198, 0.13941669, 0.1395914 ,\n 0.13976611, 0.13994081, 0.14011552, 0.14029023, 0.14046494,\n 0.14063964, 0.14081435, 0.14098906, 0.14116377, 0.14133847,\n 0.14151318, 0.14168789, 0.1418626 , 0.14203731, 0.14221201,\n 0.14238672, 0.14256143, 0.14273614, 0.14291084, 0.14308555,\n 0.14326026, 0.14343497, 0.14360967, 0.14378438, 0.14395909,\n 0.1441338 , 0.1443085 , 0.14448321, 0.14465792, 0.14483263,\n 0.14500734, 0.14518204, 0.14535675, 0.14553146, 0.14570617,\n 0.14588087, 0.14605558, 0.14623029, 0.146405 , 0.1465797 ,\n 0.14675441, 0.14692912, 0.14710383, 0.14727853, 0.14745324,\n 0.14762795, 0.14780266, 0.14797737, 0.14815207, 0.14832678,\n 0.14850149, 0.1486762 , 0.1488509 , 0.14902561, 0.14920032,\n 0.14937503, 0.14954973, 0.14972444, 0.14989915, 0.15007386,\n 0.15024856, 0.15042327, 0.15059798, 0.15077269, 0.15094739,\n 0.1511221 , 0.15129681, 0.15147152, 0.15164623, 0.15182093,\n 0.15199564, 0.15217035, 0.15234506, 0.15251976, 0.15269447,\n 0.15286918, 0.15304389, 0.15321859, 0.1533933 , 0.15356801,\n 0.15374272, 0.15391742, 0.15409213, 0.15426684, 0.15444155,\n 0.15461626, 0.15479096, 0.15496567, 0.15514038, 0.15531509,\n 0.15548979, 0.1556645 , 0.15583921, 0.15601392, 0.15618862,\n 0.15636333, 0.15653804, 0.15671275, 0.15688745, 0.15706216,\n 0.15723687, 0.15741158, 0.15758628, 0.15776099, 0.1579357 ,\n 0.15811041, 0.15828512, 0.15845982, 0.15863453, 0.15880924,\n 0.15898395, 0.15915865, 0.15933336, 0.15950807, 0.15968278,\n 0.15985748, 0.16003219, 0.1602069 , 0.16038161, 0.16055631,\n 0.16073102, 0.16090573, 0.16108044, 0.16125515, 0.16142985,\n 0.16160456, 0.16177927, 0.16195398, 0.16212868, 0.16230339,\n 0.1624781 , 0.16265281, 0.16282751, 0.16300222, 0.16317693,\n 0.16335164, 0.16352634, 0.16370105, 0.16387576, 0.16405047,\n 0.16422517, 0.16439988, 0.16457459, 0.1647493 , 0.16492401,\n 0.16509871, 0.16527342, 0.16544813, 0.16562284, 0.16579754,\n 0.16597225, 0.16614696, 0.16632167, 0.16649637, 0.16667108,\n 0.16684579, 0.1670205 , 0.1671952 , 0.16736991, 0.16754462,\n 0.16771933, 0.16789404, 0.16806874, 0.16824345, 0.16841816,\n 0.16859287, 0.16876757, 0.16894228, 0.16911699, 0.1692917 ,\n 0.1694664 , 0.16964111, 0.16981582, 0.16999053, 0.17016523,\n 0.17033994, 0.17051465, 0.17068936, 0.17086406, 0.17103877,\n 0.17121348, 0.17138819, 0.1715629 , 0.1717376 , 0.17191231,\n 0.17208702, 0.17226173, 0.17243643, 0.17261114, 0.17278585,\n 0.17296056, 0.17313526, 0.17330997, 0.17348468, 0.17365939,\n 0.17383409, 0.1740088 , 0.17418351, 0.17435822, 0.17453293]), array([1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 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\n", 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\n", "text/plain": [ "
" ] @@ -557,6 +484,7 @@ } ], "source": [ + "%matplotlib inline\n", "plt.figure(1, figsize=(20,8.7))\n", "plt.subplot(121)\n", "ax=sn.heatmap(MTX_CX, annot=False, cmap='coolwarm', vmin=.5, vmax=1, center=0.75, square=True)\n", @@ -605,7 +533,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 20, "metadata": { "scrolled": false }, @@ -613,16 +541,16 @@ { "data": { "text/plain": [ - "[]" + "[]" ] }, - "execution_count": 35, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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9ngnt6bfpvwR8APhy97UP+EXgXuCh7vsVA9fc3D0Hp1nGJwuejV/A7/KzTw2t6z0Dvw7Mdn/W/wZc3sCe/wb4OvAg8M/0Py2zrvYMfIj+z0B+Qv+/7P9kJXsEet3z9DDwXrr/c8QoX/4vJiSpcS29NSRJGsIQSFLjDIEkNc4QSFLjDIEkNc4QSFLjDIEkNe7/ABKCercVu6asAAAAAElFTkSuQmCC\n", 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" ] @@ -642,9 +570,21 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 21, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "AttributeError", + "evalue": "module 'pycal' has no attribute 'atm_absorption_coefficient_vec'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mabso_vec\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mpycal\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0matm_absorption_coefficient_vec\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m5000\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m280\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m101500\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m40\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m50\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m500\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mload_vec\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mpycal\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0matm_atmospheric_loading_vec\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m5000\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m280\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m101500\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m40\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m50\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m500\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mAttributeError\u001b[0m: module 'pycal' has no attribute 'atm_absorption_coefficient_vec'" + ] + } + ], "source": [ "abso_vec=pycal.atm_absorption_coefficient_vec(5000, 280, 101500, 5, 40, 50, 500)\n", "load_vec=pycal.atm_atmospheric_loading_vec(5000, 280, 101500, 5, 40, 50, 500)\n" @@ -652,9 +592,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'abso_vec' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlinspace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m40\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m50\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m500\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mabso_vec\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0;31m#plt.plot(np.linspace(40, 50, 500), load_vec)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mNameError\u001b[0m: name 'abso_vec' is not defined" + ] + } + ], "source": [ "plt.plot(np.linspace(40, 50, 500), abso_vec)\n", "#plt.plot(np.linspace(40, 50, 500), load_vec)" @@ -662,9 +614,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 23, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "AttributeError", + "evalue": "module 'pycal' has no attribute 'atm_absorption_coefficient'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0ma\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mpycal\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0matm_absorption_coefficient\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m5000\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m280\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m101500\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m150\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mb\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mpycal\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0matm_atmospheric_loading\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m5000\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m280\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m101500\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m57\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mAttributeError\u001b[0m: module 'pycal' has no attribute 'atm_absorption_coefficient'" + ] + } + ], "source": [ "a=pycal.atm_absorption_coefficient(5000, 280, 101500, 2, 150)\n", "b=pycal.atm_atmospheric_loading(5000, 280, 101500, 2, 57)" @@ -672,18 +636,42 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 24, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'a' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mNameError\u001b[0m: name 'a' is not defined" + ] + } + ], "source": [ "print(a,b)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 25, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'tod_k' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mfmin\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m300\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0mfmax\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m12.5\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mfreq\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlinspace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfmin\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mfmax\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtod_k\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 4\u001b[0m \u001b[0mtod_k_fft\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfft\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfftshift\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfft\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfft\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtod_k\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloglog\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfreq\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreal\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtod_k_fft\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtod_k\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0;36m2\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimag\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtod_k_fft\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtod_k\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mNameError\u001b[0m: name 'tod_k' is not defined" + ] + } + ], "source": [ "fmin=1/300\n", "fmax=12.5\n", @@ -864,9 +852,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 26, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "ModuleNotFoundError", + "evalue": "No module named 'toast'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mtoast\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtodmap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0matm\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mAtmSim\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mmatplotlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpylab\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mazmin\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m14\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m180\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpi\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'toast'" + ] + } + ], "source": [ "from toast.todmap.atm import AtmSim\n", "import numpy as np\n", @@ -1221,7 +1221,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.2" + "version": "3.9.5" } }, "nbformat": 4, diff --git a/src/pycal/todmap/sim_det_atm.py b/src/pycal/todmap/sim_det_atm.py index b7fc3c9a..350ad3f5 100644 --- a/src/pycal/todmap/sim_det_atm.py +++ b/src/pycal/todmap/sim_det_atm.py @@ -643,21 +643,11 @@ def _get_time_range(self, tmin, istart, times, tmax_tot, common_ref, tod, weathe w = np.sqrt(wx ** 2 + wy ** 2) self._wind_time = self._wind_dist / w + # (wind_SPAZIO / wind_speed) = tempo che una cella impiega per muoversi da una realizzazione all'altra + tmax = tmin + self._wind_time - if tmax < tmax_tot: - # Extend the scan to the next turnaround - istop = istart - while istop < times.size and times[istop] < tmax: - istop += 1 - while istop < times.size and (common_ref[istop] | tod.TURNAROUND == 0): - istop += 1 - if istop < times.size: - tmax = times[istop] - else: - tmax = tmax_tot - else: - tmax = tmax_tot - istop = times.size + tmax = tmax_tot + istop = times.size return istart, istop, np.ceil(tmax) diff --git a/src/pycal/todmap/sim_tod.py b/src/pycal/todmap/sim_tod.py index 091c60d2..a57b5906 100644 --- a/src/pycal/todmap/sim_tod.py +++ b/src/pycal/todmap/sim_tod.py @@ -4,6 +4,8 @@ import warnings +from numpy.core.numeric import array_equiv + try: import ephem except: @@ -837,10 +839,10 @@ def __init__( testvec = np.array([el, azmin, azmax]) if azmax: - if not np.all(testvec): - raise RuntimeError( - "Simulating a CES requires `el`, `azmin` and `azmax`" - ) + # if not np.all(testvec): + # raise RuntimeError( + # "Simulating a CES requires `el`, `azmin` and `azmax`" + # ) do_ces = True else: do_ces = False @@ -986,27 +988,27 @@ def __init__( # Create a list of subscans that excludes the turnarounds. # All processes in the group still have all samples. - self.subscans = [] - self._subscan_min_length = 10 # in samples - for istart, istop in zip(self._stable_starts, self._stable_stops): - if istop - istart < self._subscan_min_length or istart < nsample_elnod: - self._commonflags[istart:istop] |= self.TURNAROUND - continue - start = self._firsttime + istart / self._rate - stop = self._firsttime + istop / self._rate - self.subscans.append( - Interval(start=start, stop=stop, first=istart, last=istop - 1) - ) - - if len(self._stable_stops) > 0: - self._commonflags[self._stable_stops[-1] :] |= self.TURNAROUND - - if np.sum((self._commonflags & self.TURNAROUND) == 0) == 0 and do_ces: - raise RuntimeError( - "The entire TOD is flagged as turnaround. Samplerate too low " - "({} Hz) or scanrate too high ({} deg/s)?" - "".format(rate, scanrate) - ) + # self.subscans = [] + # self._subscan_min_length = 10 # in samples + # for istart, istop in zip(self._stable_starts, self._stable_stops): + # if istop - istart < self._subscan_min_length or istart < nsample_elnod: + # self._commonflags[istart:istop] |= self.TURNAROUND + # continue + # start = self._firsttime + istart / self._rate + # stop = self._firsttime + istop / self._rate + # self.subscans.append( + # Interval(start=start, stop=stop, first=istart, last=istop - 1) + # ) + + # if len(self._stable_stops) > 0: + # self._commonflags[self._stable_stops[-1] :] |= self.TURNAROUND + + # if np.sum((self._commonflags & self.TURNAROUND) == 0) == 0 and do_ces: + # raise RuntimeError( + # "The entire TOD is flagged as turnaround. Samplerate too low " + # "({} Hz) or scanrate too high ({} deg/s)?" + # "".format(rate, scanrate) + # ) if self._report_timing: @@ -1437,9 +1439,85 @@ def step_el(self, times, az, el): @function_timer def simulate_scan(self, samples): + + if self._el_ces is None: + self._stable_starts = [] + self._stable_stops = [] + return 0 + + if samples <= 0: + raise RuntimeError("CES requires a positive number of samples") + + if len(self._times) == 0: + self._CES_start = self._firsttime + else: + self._CES_start = self._times[-1] + 1 / self._rate + + nstep = 10000 + + azmin, azmax = [self._azmin_ces, self._azmax_ces] + + t = self._CES_start + base_rate = self._scanrate / np.cos(self._el_ces) + + tvec = [] + azvec = [] + t0 = t + + # Ds**2 = 1/4 * a**2 * (t1 - t0) + # t1 = Ds**2*4/a**2 + t0 + + t1 = t0 + (6.44*(2*np.pi)**2 ) / np.cos(self._el_ces) + tvec = np.linspace(t0, t1, nstep, endpoint=True) + azvec = np.array([]) + azvec = np.append(azvec, azmin) + + for i in range(1, len(tvec)): + dt = (t1-t0)/nstep + az_i = azvec[i-1] + base_rate * dt + mod_i = np.abs(1/np.sin(az_i)) + + if mod_i >= 2: + mod_i = 2.0 + + omega = 0.5 * base_rate * mod_i + d_alpha = omega * dt + alpha_i = azvec[i-1] + d_alpha + azvec = np.append(azvec, alpha_i) + azvec = np.mod(azvec, 2*np.pi) + + # Store the scan range. We use the high resolution azimuth so the + # actual sampling rate will not change the range. + + self.update_scan_range(azvec, self._el_ces) + + # Now interpolate the simulated scan to timestamps + + times = self._CES_start + np.arange(samples) / self._rate + tmin, tmax = tvec[0], tvec[-1] + tdelta = tmax - tmin + az_sample = np.interp((times - tmin) % tdelta, tvec - tmin, azvec) + + el_sample = np.zeros_like(az_sample) + self._el_ces + if self._el_mod_rate != 0: + self.oscillate_el(times, az_sample, el_sample) + if self._el_mod_step != 0: + self.step_el(times, az_sample, el_sample) + + offset = self._times.size + self._times = np.hstack([self._times, times]) + self._az = np.hstack([self._az, az_sample]) + self._el = np.hstack([self._el, el_sample]) + ind = np.searchsorted(tvec - tmin, (times - tmin) % tdelta) + ind[ind == tvec.size] = tvec.size - 1 + + + return samples + + @function_timer + def simulate_scan2(self, samples): """Simulate el-nod and/or a constant elevation scan, either constant rate or 1/sin(az)-modulated. - """ if self._el_ces is None: @@ -1467,8 +1545,8 @@ def simulate_scan(self, samples): if self._cosecant_modulation: # We always simulate a rising cosecant scan and then # mirror it if necessary - azmin %= np.pi # 10 - azmax %= np.pi # 170 + azmin %= np.pi + azmax %= np.pi if azmin > azmax: raise RuntimeError( "Cannot scan across zero meridian with cosecant-modulated scan" @@ -1476,26 +1554,103 @@ def simulate_scan(self, samples): elif azmax < azmin: azmax += 2 * np.pi t = self._CES_start - + all_t = [] + all_az = [] + all_flags = [] + # translate scan rate from sky to mount coordinates base_rate = self._scanrate / np.cos(self._el_ces) + # scan acceleration is already in the mount coordinates + scan_accel = self._scan_accel + + # left-to-right tvec = [] azvec = [] t0 = t + if self._cosecant_modulation: + t1 = t0 + (np.cos(azmin) - np.cos(azmax)) / base_rate + tvec = np.linspace(t0, t1, nstep, endpoint=True) + azvec = np.arccos(np.cos(azmin) + base_rate * t0 - base_rate * tvec) + else: + # Constant scanning rate, only requires two data points + t1 = t0 + (azmax - azmin) / base_rate + tvec = np.array([t0, t1]) + azvec = np.array([azmin, azmax]) + all_t.append(np.array(tvec)) + all_az.append(np.array(azvec)) + all_flags.append(np.zeros(tvec.size, dtype=np.uint8) | self.LEFTRIGHT_SCAN) + t = t1 - - t1 = t0 + (np.cos(azmin) - np.cos(azmax)) / base_rate - tvec = np.linspace(t0, t1, nstep, endpoint=True) - az = np.mod(np.cos(azmin) - np.mod(base_rate * tvec, 2*np.pi), 2*np.pi) - modulation = np.abs(1/np.sin(az)) - modulation[modulation>2] = 2.0 - azvec = np.array([]) - azvec = np.append(azvec, 0.0) + # turnaround - for i in range(1, len(tvec)): - az_new = az[i-1] + modulation[i] * np.deg2rad(1)/np.sin(np.deg2rad(70)) * ((t1 - t0)/nstep) - azvec = np.append(azvec, az_new) - azvec = np.mod(azvec, 2.0*np.pi) + t0 = t + if self._cosecant_modulation: + dazdt = base_rate / np.abs(np.sin(azmax)) + else: + dazdt = base_rate + t1 = t0 + 2 * dazdt / scan_accel + tvec = np.linspace(t0, t1, nstep, endpoint=True)[1:] + azvec = azmax + (tvec - t0) * dazdt - 0.5 * scan_accel * (tvec - t0) ** 2 + all_t.append(tvec[:-1]) + all_az.append(azvec[:-1]) + all_flags.append( + np.zeros(tvec.size - 1, dtype=np.uint8) | self.LEFTRIGHT_TURNAROUND + ) + t = t1 + + # right-to-left + + tvec = [] + azvec = [] + t0 = t + if self._cosecant_modulation: + t1 = t0 + (np.cos(azmin) - np.cos(azmax)) / base_rate + tvec = np.linspace(t0, t1, nstep, endpoint=True) + azvec = np.arccos(np.cos(azmax) - base_rate * t0 + base_rate * tvec) + else: + # Constant scanning rate, only requires two data points + t1 = t0 + (azmax - azmin) / base_rate + tvec = np.array([t0, t1]) + azvec = np.array([azmax, azmin]) + all_t.append(np.array(tvec)) + all_az.append(np.array(azvec)) + all_flags.append(np.zeros(tvec.size, dtype=np.uint8) | self.RIGHTLEFT_SCAN) + t = t1 + + # turnaround + + t0 = t + if self._cosecant_modulation: + dazdt = base_rate / np.abs(np.sin(azmin)) + else: + dazdt = base_rate + t1 = t0 + 2 * dazdt / scan_accel + tvec = np.linspace(t0, t1, nstep, endpoint=True)[1:] + azvec = azmin - (tvec - t0) * dazdt + 0.5 * scan_accel * (tvec - t0) ** 2 + all_t.append(tvec) + all_az.append(azvec) + all_flags.append( + np.zeros(tvec.size, dtype=np.uint8) | self.RIGHTLEFT_TURNAROUND + ) + + # Concatenate + + tvec = np.hstack(all_t) + azvec = np.hstack(all_az) + flags = np.hstack(all_flags) + + # Limit azimuth to [-2pi, 2pi] but do not + # introduce discontinuities with modulo. + + if np.amin(azvec) < -2 * np.pi: + azvec += 2 * np.pi + if np.amax(azvec) > 2 * np.pi: + azvec -= 2 * np.pi + + if self._cosecant_modulation and self._azmin_ces > np.pi: + # We always simulate a rising cosecant scan and then + # mirror it if necessary + azvec += np.pi # Store the scan range. We use the high resolution azimuth so the # actual sampling rate will not change the range. @@ -1521,7 +1676,27 @@ def simulate_scan(self, samples): self._el = np.hstack([self._el, el_sample]) ind = np.searchsorted(tvec - tmin, (times - tmin) % tdelta) ind[ind == tvec.size] = tvec.size - 1 + self._commonflags = np.hstack([self._commonflags, flags[ind]]).astype(np.uint8) + + # Subscan start indices + + turnflags = flags[ind] & self.TURNAROUND + self._stable_starts = ( + np.argwhere(np.logical_and(turnflags[:-1] != 0, turnflags[1:] == 0)).ravel() + + 1 + ) + if turnflags[0] == 0: + self._stable_starts = np.hstack([[0], self._stable_starts]) + self._stable_stops = ( + np.argwhere(np.logical_and(turnflags[:-1] == 0, turnflags[1:] != 0)).ravel() + + 2 + ) + if turnflags[-1] == 0: + self._stable_stops = np.hstack([self._stable_stops, [samples]]) + self._stable_starts += offset + self._stable_stops += offset + self._CES_stop = self._times[-1] return samples From e1689d1ed1a0e7c533a8c8e2bbd7217edd7b3643 Mon Sep 17 00:00:00 2001 From: Stefano Mandelli Date: Tue, 16 Nov 2021 11:12:01 +0100 Subject: [PATCH 05/14] create CONTRIBUTING file --- CONTRIBUTING.md | 5 +++++ 1 file changed, 5 insertions(+) create mode 100644 CONTRIBUTING.md diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md new file mode 100644 index 00000000..2c560c64 --- /dev/null +++ b/CONTRIBUTING.md @@ -0,0 +1,5 @@ +-) Fork `cal` repository on your account +-) Clone the `cal` repository from your account +-) Open new brnach with a sensible name linked to the new features that you want to introduce +-) Commit on your account +-) Open and discuss a PULLREQUEST From 0e96ba1a1c6b82fcfa4c85bbb0a83c27320e65a0 Mon Sep 17 00:00:00 2001 From: Stefano Mandelli Date: Tue, 16 Nov 2021 11:12:37 +0100 Subject: [PATCH 06/14] update contributing file --- CONTRIBUTING.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 2c560c64..e3bdaecd 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -1,5 +1,9 @@ -) Fork `cal` repository on your account + -) Clone the `cal` repository from your account + -) Open new brnach with a sensible name linked to the new features that you want to introduce + -) Commit on your account + -) Open and discuss a PULLREQUEST From ea1dfce3d8ae840d511643b63685d3767fc7dfa7 Mon Sep 17 00:00:00 2001 From: Stefano Mandelli Date: Tue, 16 Nov 2021 11:23:59 +0100 Subject: [PATCH 07/14] Update cookbook --- cookbook/Focal_Plane.ipynb | 50 ++++++++++++++++++-------------------- 1 file changed, 24 insertions(+), 26 deletions(-) diff --git a/cookbook/Focal_Plane.ipynb b/cookbook/Focal_Plane.ipynb index fdae00a7..56b243ba 100644 --- a/cookbook/Focal_Plane.ipynb +++ b/cookbook/Focal_Plane.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -52,7 +52,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -117,7 +117,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -161,7 +161,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -194,7 +194,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -210,7 +210,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -219,24 +219,14 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 17, "metadata": {}, "outputs": [ { "data": { + "image/png": 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"text/plain": [ - "Text(0, 0.5, '$u$ [deg]')" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" + "
" ] }, "metadata": { @@ -250,21 +240,29 @@ " focalplane=yaml.full_load(file)\n", "detecotrs=focalplane['horns'].keys()\n", "\n", - "plt.figure(figsize=(12, 10))\n", + "plt.figure(figsize=(11, 10))\n", "\n", "for i in detecotrs:\n", " directions=focalplane['horns'][i]['orientation']\n", " #print(i, directions)\n", " l=np.arctan(directions[0]/directions[2])\n", " u=np.arctan(directions[1]/directions[2])\n", - " if np.shape(i.split('W'))[0] == 1: \n", - " plt.scatter(np.rad2deg(l), np.rad2deg(u), s=1000, marker=\"o\", color='r')\n", - " plt.text(np.rad2deg(l-0.001), np.rad2deg(u-0.0012), i)\n", + " if np.shape(i.split('W'))[0] == 1:\n", + " if i == \"I0\":\n", + " plt.scatter(np.rad2deg(l), np.rad2deg(u), s=100, marker=\"o\", color='r', label=\"Q-band\")\n", + " else:\n", + " plt.scatter(np.rad2deg(l), np.rad2deg(u), s=100, marker=\"o\", color='r')\n", + " plt.text(np.rad2deg(l+0.002), np.rad2deg(u-0.0012), i)\n", " else:\n", - " plt.scatter(np.rad2deg(l), np.rad2deg(u), s=1000, marker=\"o\", color='b', alpha=0.3)\n", - " plt.text(np.rad2deg(l-0.001), np.rad2deg(u-0.0012), i)\n", + " if i == \"W1\":\n", + " plt.scatter(np.rad2deg(l), np.rad2deg(u), s=100, marker=\"o\", color='b', alpha=0.3, label=\"W-band\")\n", + " else:\n", + " plt.scatter(np.rad2deg(l), np.rad2deg(u), s=100, marker=\"o\", color='b', alpha=0.3)\n", + " plt.text(np.rad2deg(l+0.002), np.rad2deg(u-0.0012), i)\n", "plt.xlabel(\"$l$ [deg]\")\n", - "plt.ylabel(\"$u$ [deg]\") " + "plt.ylabel(\"$u$ [deg]\")\n", + "plt.legend()\n", + "plt.grid()\n" ] }, { From 9240092187332970027c8008280a7c9a5f0d1f88 Mon Sep 17 00:00:00 2001 From: Stefano Mandelli Date: Tue, 1 Feb 2022 15:00:48 +0100 Subject: [PATCH 08/14] Update cookbook --- cookbook/Example_atm_spectrum.ipynb | 142 ++++++++++++++++++++++++++++ cookbook/Qubic_beam_filter.ipynb | 2 +- 2 files changed, 143 insertions(+), 1 deletion(-) create mode 100644 cookbook/Example_atm_spectrum.ipynb diff --git a/cookbook/Example_atm_spectrum.ipynb b/cookbook/Example_atm_spectrum.ipynb new file mode 100644 index 00000000..252ef8f8 --- /dev/null +++ b/cookbook/Example_atm_spectrum.ipynb @@ -0,0 +1,142 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 11, + "id": "mighty-lease", + "metadata": {}, + "outputs": [], + "source": [ + "# Only Water Vapor + Dioxygen\n", + "\n", + "import pycal\n", + "from pycal import Weather\n", + "from pycal._libcal import atm_atmospheric_loading\n", + "from pycal._libcal import atm_atmospheric_loading_vec\n", + "from pycal._libcal import atm_absorption_coefficient\n", + "from pycal._libcal import atm_absorption_coefficient_vec\n", + "\n", + "import matplotlib.pylab as plt\n", + "\n", + "import datetime as dt\n", + "import numpy as np\n", + "from yaml import load, Loader\n", + "from mpi4py import MPI\n", + "from scipy.integrate import simps\n", + "from time import perf_counter" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "italian-teens", + "metadata": {}, + "outputs": [], + "source": [ + "year = 2022\n", + "month = 5\n", + "day = 15\n", + "hour = 12\n", + "prime = 0\n", + "sec = 0" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "atomic-collaboration", + "metadata": {}, + "outputs": [], + "source": [ + "weather = pycal.Weather(\"weather_STRIP.fits\", 0, 0)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "modified-minister", + "metadata": {}, + "outputs": [], + "source": [ + "data = dt.datetime(year,month,day,hour,prime,sec)\n", + "weather.set_time(data.timestamp())" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "demonstrated-option", + "metadata": {}, + "outputs": [], + "source": [ + "# Get surface temperature\n", + "t0 = weather.surface_temperature\n", + "# Get surface pressure\n", + "p0 = weather.surface_pressure\n", + "# Get Precipitable Water Vopour\n", + "pwv = weather.pwv\n", + "\n", + "f_min = 0.1 # GHz\n", + "f_max = 40.0 # GHz" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "brave-private", + "metadata": {}, + "outputs": [], + "source": [ + "tsky_arr = atm_atmospheric_loading_vec(2390, t0, p0, pwv, f_min, f_max, 100)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "welsh-being", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(15,7))\n", + "plt.xlabel(\"Frequency [GHz]\")\n", + "plt.ylabel(\"Atmospheric Brightness Temperature [K_{RJ}]\")\n", + "plt.plot(np.linspace(f_min, f_max, 100), tsky_arr)\n", + "plt.grid()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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 +} diff --git a/cookbook/Qubic_beam_filter.ipynb b/cookbook/Qubic_beam_filter.ipynb index a1ea0912..af2d507e 100644 --- a/cookbook/Qubic_beam_filter.ipynb +++ b/cookbook/Qubic_beam_filter.ipynb @@ -182,7 +182,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.2" + "version": "3.9.7" } }, "nbformat": 4, From aaba23be9f1493305dc2ea7eb1e6644435441562 Mon Sep 17 00:00:00 2001 From: Stefano Mandelli Date: Mon, 21 Feb 2022 10:53:56 +0100 Subject: [PATCH 09/14] Add debug comments --- .github/workflows/container.yml | 3 +++ 1 file changed, 3 insertions(+) diff --git a/.github/workflows/container.yml b/.github/workflows/container.yml index c3b6b714..57d66554 100644 --- a/.github/workflows/container.yml +++ b/.github/workflows/container.yml @@ -25,6 +25,9 @@ jobs: run: | ls if [ -f "${SINGULARITY_RECIPE}" ]; then + echo "Working directory: $PWD" + echo "Recipe: ${SINGULARITY_RECIPE}" + echo "Output: ${OUTPUT_CONTAINER}" singularity build ${OUTPUT_CONTAINER} ${SINGULARITY_RECIPE} else echo "${SINGULARITY_RECIPE} is not found." From 23c14871b68cf8f9f72109170f5cce58f9d93126 Mon Sep 17 00:00:00 2001 From: Stefano Mandelli Date: Tue, 22 Feb 2022 12:00:35 +0100 Subject: [PATCH 10/14] Add some stuff in the cookbook --- cookbook/Focal_Plane.ipynb | 2 +- cookbook/Simulation_STRIP.ipynb | 1225 +++++++++++++++++++++++++++++++ cookbook/skypatch.ipynb | 4 +- cookbook/strip_focal_plane.yaml | 873 ++++++++++++++++++++++ cookbook/weather_STRIP.fits | Bin 0 -> 1903680 bytes src/pycal/todmap/sim_tod.py | 2 +- 6 files changed, 2102 insertions(+), 4 deletions(-) create mode 100644 cookbook/Simulation_STRIP.ipynb create mode 100644 cookbook/strip_focal_plane.yaml create mode 100644 cookbook/weather_STRIP.fits diff --git a/cookbook/Focal_Plane.ipynb b/cookbook/Focal_Plane.ipynb index 56b243ba..954e8d3b 100644 --- a/cookbook/Focal_Plane.ipynb +++ b/cookbook/Focal_Plane.ipynb @@ -380,7 +380,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.5" + "version": "3.9.7" } }, "nbformat": 4, diff --git a/cookbook/Simulation_STRIP.ipynb b/cookbook/Simulation_STRIP.ipynb new file mode 100644 index 00000000..8f342f61 --- /dev/null +++ b/cookbook/Simulation_STRIP.ipynb @@ -0,0 +1,1225 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "declared-mandate", + "metadata": {}, + "source": [ + "# Dependency\n", + "\n", + "- MPI v >= 4.0\n", + "- libAATM\n", + "- The submodules (git init --recursive --update)" + ] + }, + { + "cell_type": "code", + "execution_count": 149, + "id": "dress-bosnia", + "metadata": {}, + "outputs": [], + "source": [ + "# import system packages\n", + "\n", + "import os\n", + "from datetime import datetime\n", + "import sys\n", + "import argparse\n", + "import traceback\n", + "import pickle\n", + "import yaml\n", + "from argparse import ArgumentParser, RawTextHelpFormatter\n", + "\n", + "# import numpy\n", + "import numpy as np\n", + "import healpy as hp\n", + "\n", + "# the MPI comunicator class, customized for pycal data storage\n", + "from pycal.mpi import get_world, Comm\n", + "\n", + "# the Data class \n", + "from pycal.dist import distribute_uniform, Data\n", + "\n", + "# some pycal utils to share informations with the environment\n", + "from pycal.utils import Logger, Environment, memreport\n", + "\n", + "# some timers\n", + "from pycal.timing import function_timer, GlobalTimers, Timer, gather_timers\n", + "from pycal.timing import dump as dump_timing\n", + "\n", + "# the simulate the pointing, the atmosphere and put all the information in the TODGround class\n", + "from pycal.todmap import TODGround, OpSimAtmosphere, OpPointingHpix\n", + "from pycal.weather import Weather\n", + "\n", + "# Some wrapper to libaatm, they solve the radiative transfer equation in local thermodynamic equilibrium\n", + "from pycal.todmap.atm import atm_absorption_coefficient, atm_absorption_coefficient_vec\n", + "\n", + "# helper functions\n", + "from pycal.tests._helpers import boresight_focalplane\n", + "import pycal.qarray as qa\n", + "\n", + "# focal plane and telescope calsses\n", + "from pycal.todmap import Focalplane\n", + "from pycal.todmap import Telescope" + ] + }, + { + "cell_type": "markdown", + "id": "exterior-fireplace", + "metadata": {}, + "source": [ + "# Timer and Focalplane functions" + ] + }, + { + "cell_type": "code", + "execution_count": 150, + "id": "burning-anchor", + "metadata": {}, + "outputs": [], + "source": [ + "# set up the output directory for each mc iterations\n", + "\n", + "@function_timer\n", + "def setup_output(outdir, comm, mc, freq):\n", + " outpath = \"{}/{:08}/{:03}\".format(outdir, mc, int(freq))\n", + " if comm.world_rank == 0:\n", + " print(\"Creating the outpath: {}\".format(outpath))\n", + " os.makedirs(outpath, exist_ok=True)\n", + " return outpath\n", + "\n", + "def load_focalplane(args, comm):\n", + " focalplane = None\n", + "\n", + " # Load focalplane information\n", + "\n", + " if comm.comm_world is None or comm.comm_world.rank == 0:\n", + " if focalplane is None:\n", + " detector_data = {}\n", + " with open(r'./strip_focal_plane.yaml') as file:\n", + " focalplane=yaml.load(file)\n", + "\n", + " detecotrs=focalplane['horns'].keys()\n", + " for i in detecotrs:\n", + " directions=focalplane['horns'][i]['orientation']\n", + " l=np.arctan(directions[0]/directions[2])\n", + " u=np.arctan(directions[1]/directions[2])\n", + " zaxis = np.array([0, 0, 1], dtype=np.float64)\n", + " \n", + " angrot = qa.rotation(zaxis, 0 * np.pi / 180.0)\n", + " wx = np.rad2deg(l) * np.pi / 180.0\n", + " wy = np.rad2deg(u) * np.pi / 180.0\n", + " wz = np.sqrt(1.0 - (wx * wx + wy * wy))\n", + " wdir = np.array([wx, wy, wz])\n", + " strip_quat = qa.from_vectors(zaxis, wdir)\n", + " \n", + " strip = {}\n", + " strip[\"quat\"] = strip_quat\n", + " strip[\"fwhm\"] = 20.0\n", + " strip[\"fknee\"] = 0.0\n", + " strip[\"fmin\"] = 1e-9\n", + " strip[\"alpha\"] = 1.0\n", + " strip[\"NET\"] = 1.0\n", + " strip[\"color\"] = \"r\"\n", + " \n", + " detector_data[i] = strip\n", + " \n", + " focalplane = Focalplane(\n", + " detector_data=detector_data, sample_rate=args.sample_rate\n", + " )\n", + " else:\n", + " focalplane = Focalplane(\n", + " fname_pickle=args.focalplane, sample_rate=args.sample_rate\n", + " )\n", + " if comm.comm_world is not None:\n", + " focalplane = comm.comm_world.bcast(focalplane, root=0)\n", + "\n", + " if args.debug:\n", + " if comm.comm_world is None or comm.comm_world.rank == 0:\n", + " outfile = \"{}/focalplane.png\".format(args.outdir)\n", + " focalplane._plot_fp(12, 12, outfile)\n", + "\n", + " #schedule.telescope.focalplane = focalplane\n", + " #detweights = focalplane.detweights\n", + "\n", + " return focalplane" + ] + }, + { + "cell_type": "markdown", + "id": "reverse-brunswick", + "metadata": {}, + "source": [ + "# Simulation parameters" + ] + }, + { + "cell_type": "code", + "execution_count": 151, + "id": "modern-holocaust", + "metadata": {}, + "outputs": [], + "source": [ + "class args:\n", + " # Required arguments\n", + " ces_name = \"Test-scan\"\n", + " ces_start_time = \"2022,1,1,0,0,0\"\n", + " ces_stop_time = \"2022,1,1,3,0,0\"\n", + " sample_rate = 20\n", + " el_mode_rate = 0.001\n", + " el_mod_amplitude = 1.0\n", + " el_mod_sine = True\n", + " el_mod_step = 0\n", + "\n", + " # Scan Parameters\n", + " ces_azmin = 1\n", + " ces_azmax = 359\n", + " ces_el = 70\n", + " scan = \"spin\"\n", + " subscan = \"\"\n", + " scanrate = 6.0\n", + " scan_accel = 0.0\n", + "\n", + " # Load the focalplane \"The yaml file\"\n", + " focalplane = None\n", + "\n", + " # Site parameters\n", + " site_name = \"Tenerife\"\n", + " site_lon = \"-16:31:00\"\n", + " site_lat = \"28:20:00\"\n", + " site_alt = 2390.0\n", + " coord = \"C\"\n", + "\n", + " # Map parameters\n", + " CES_star = None\n", + " NSIDE = 128\n", + " debug = True \n", + " outdir = \"out_directory\"\n", + "\n", + " # Atmospheric parameters\n", + " start_mc = 0\n", + " nsimu = 1\n", + " cache_name = \"atm_\"\n", + " atm_cache = \"atm_cache_\"\n", + " verbose = 0\n", + " freq = 43.0\n", + " weather_file = \"weather_STRIP.fits\"" + ] + }, + { + "cell_type": "markdown", + "id": "logical-genesis", + "metadata": {}, + "source": [ + "# Parallel logger (gather all the messages from different processes)" + ] + }, + { + "cell_type": "code", + "execution_count": 152, + "id": "ranking-failing", + "metadata": {}, + "outputs": [], + "source": [ + "# definition of the logger, the global timer and the environment\n", + "log = Logger.get()\n", + "gt = GlobalTimers.get()\n", + "env = Environment.get()\n", + "\n", + "gt.start(\"Atmospheric simulation (globbal timer)\")\n", + "timer0 = Timer()\n", + "timer0.start()" + ] + }, + { + "cell_type": "markdown", + "id": "suffering-emphasis", + "metadata": {}, + "source": [ + "# Initialize the communicator" + ] + }, + { + "cell_type": "code", + "execution_count": 153, + "id": "friendly-excerpt", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "# Get the communicator\n", + "mpiworld, procs, rank = get_world()\n", + "if rank == 0:\n", + " print(env)\n", + "if mpiworld is None:\n", + " log.info(\"Running serially with one process at {}\".format(str(datetime.now())))\n", + "else:\n", + " if rank == 0:\n", + " log.info(\n", + " \"Running with {} processes at {}\".format(procs, str(datetime.now()))\n", + " )\n", + "\n", + "comm = Comm(world=mpiworld)\n", + " " + ] + }, + { + "cell_type": "markdown", + "id": "musical-shopping", + "metadata": {}, + "source": [ + "# Load the focalplane" + ] + }, + { + "cell_type": "code", + "execution_count": 154, + "id": "surprising-soundtrack", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating the outdir: out_directory2022,1,1,0,0,0\n" + ] + } + ], + "source": [ + "args.outdir = args.outdir+args.ces_start_time\n", + "\n", + "if comm.world_rank == 0:\n", + " print(\"Creating the outdir: {}\".format(args.outdir))\n", + " os.makedirs(args.outdir, exist_ok=True)\n", + "\n", + "fp = load_focalplane(args, comm)" + ] + }, + { + "cell_type": "markdown", + "id": "radical-blood", + "metadata": {}, + "source": [ + "# This thread creates the TOD structure" + ] + }, + { + "cell_type": "code", + "execution_count": 155, + "id": "urban-beaver", + "metadata": {}, + "outputs": [], + "source": [ + "# Create the TOD structure\n", + "data = Data(comm)\n", + "weather = args.weather_file\n", + "\n", + "sta = str(args.ces_start_time).split(\",\")\n", + "sto = str(args.ces_stop_time).split(\",\")\n", + "start_time = datetime(int(sta[0]), int(sta[1]), int(sta[2]), int(sta[3]), int(sta[4]), int(sta[5])).timestamp()\n", + "stop_time = datetime(int(sto[0]), int(sto[1]), int(sto[2]), int(sto[3]), int(sto[4]), int(sto[5])).timestamp()\n", + "\n", + "totsamples = int((stop_time - start_time) * args.sample_rate)\n", + "\n", + "# create the TOD for this observation\n", + "if comm.comm_group is not None:\n", + " ndetrank = comm.comm_group.size\n", + "else:\n", + " ndetrank = 1\n", + "\n", + "try:\n", + " tod = TODGround(\n", + " comm.comm_group,\n", + " fp.detquats,\n", + " totsamples,\n", + " # detranks=ndetrank,\n", + " firsttime=start_time,\n", + " rate=args.sample_rate,\n", + " site_lon=args.site_lon,\n", + " site_lat=args.site_lat,\n", + " site_alt=args.site_alt,\n", + " azmin=args.ces_azmin,\n", + " azmax=args.ces_azmax,\n", + " el=args.ces_el,\n", + " el_mod_step = args.el_mod_step,\n", + " el_mod_rate=args.el_mode_rate,\n", + " el_mod_amplitude=args.el_mod_amplitude,\n", + " el_mod_sine=args.el_mod_sine,\n", + " scanrate=args.scanrate,\n", + " scan_accel=args.scan_accel,\n", + " cosecant_modulation=True,\n", + " CES_start=None,\n", + " CES_stop=None,\n", + " sun_angle_min=None,\n", + " coord=args.coord,\n", + " sampsizes=None,\n", + " report_timing=None,\n", + " hwprpm=None,\n", + " hwpstep=None,\n", + " hwpsteptime=None,\n", + " )\n", + "except RuntimeError as e:\n", + " raise RuntimeError(\n", + " 'Failed to create TOD for {}-{}-{}: \"{}\"'\n", + " \"\".format(args.ces_name, args.scan, args.subscan, e)\n", + " )" + ] + }, + { + "cell_type": "markdown", + "id": "under-audience", + "metadata": {}, + "source": [ + "# Create the Observation dictionary" + ] + }, + { + "cell_type": "code", + "execution_count": 156, + "id": "western-sweden", + "metadata": {}, + "outputs": [], + "source": [ + "# Create the observation, and append the tod\n", + "obs = {}\n", + "obs[\"name\"] = \"CES-{}-{}-{}-{}\".format(\n", + " args.site_name, args.ces_name, args.scan, args.subscan\n", + ")\n", + "obs[\"tod\"] = tod\n", + "obs[\"id\"] = data.comm.group\n", + "obs[\"telescope_id\"] = 1\n", + "obs[\"site\"] = \"Tenerife\"\n", + "obs[\"site_name\"] = args.site_name\n", + "obs[\"site_id\"] = 123\n", + "obs[\"altitude\"] = args.site_alt\n", + "obs[\"weather\"] = Weather(weather, site=123)\n", + "obs[\"fpradius\"] = 10.0\n", + "obs[\"start_time\"] = start_time\n", + "obs[\"focalplane\"] = fp\n", + "\n", + "data.obs.append(obs)" + ] + }, + { + "cell_type": "markdown", + "id": "assured-court", + "metadata": {}, + "source": [ + "# Pointing expansion" + ] + }, + { + "cell_type": "code", + "execution_count": 157, + "id": "false-roots", + "metadata": {}, + "outputs": [], + "source": [ + "# Expand the pointing, interpolating the quaternions\n", + "if comm.comm_world is not None:\n", + " comm.comm_world.barrier()\n", + "timer0.stop()\n", + "if comm.world_rank == 0:\n", + " timer0.report(\"Simulated scans\")\n", + "\n", + "if comm.world_rank == 0:\n", + " log.info(\"Expanding pointing\")\n", + "\n", + "pointing = OpPointingHpix(\n", + " nside=128,\n", + " nest=True,\n", + " mode=\"IQU\",\n", + " single_precision=1e-7,\n", + " nside_submap=128,\n", + ")\n", + "\n", + "pointing.exec(data)\n", + "\n", + "if comm.comm_world is not None:\n", + " comm.comm_world.barrier()\n", + "if comm.world_rank == 0:\n", + " timer0.report_clear(\"Pointing generation\")\n", + "\n", + "poin={}\n", + "for i in obs['tod'].local_dets:\n", + " p = obs['tod'].cache.reference(\"pixels_{}\".format(i))\n", + " poin[i]=p\n", + "np.savez_compressed(args.outdir+'/pointings', poin)\n", + " \n", + " " + ] + }, + { + "cell_type": "markdown", + "id": "immune-psychiatry", + "metadata": {}, + "source": [ + "# Create the Atmospheric emission\n", + "#### Atmospheric parameters" + ] + }, + { + "cell_type": "code", + "execution_count": 158, + "id": "composite-carnival", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating atm_cache_/0/0/0\n", + "Creating the outpath: out_directory2022,1,1,0,0,0/43000000.0/043\n" + ] + } + ], + "source": [ + "# Atmospheric MC simulation \n", + "\n", + "for mc in range(args.start_mc, args.start_mc + args.nsimu):\n", + "\n", + " timer_MC_iter = Timer()\n", + " timer_MC_iter.start()\n", + "\n", + " log = Logger.get()\n", + " tmr = Timer()\n", + " tmr.start()\n", + " if comm.world_rank == 0 and args.verbose:\n", + " log.info(\"Simulating atmosphere\")\n", + " if args.atm_cache and not os.path.isdir(args.atm_cache):\n", + " try:\n", + " os.makedirs(args.atm_cache)\n", + " except FileExistsError:\n", + " pass\n", + "\n", + " common_atm_params = {\n", + " \"realization\": mc,\n", + " \"component\": 123456,\n", + " \"lmin_center\": 0.01, # in m?\n", + " \"lmin_sigma\": 0.001, \n", + " \"lmax_center\": 100, # in m?\n", + " \"lmax_sigma\": 10,\n", + " \"zatm\": 40000.0,\n", + " \"zmax\": 2000.0,\n", + " \"xstep\": 100.0,\n", + " \"ystep\": 100.0,\n", + " \"zstep\": 100.0,\n", + " \"nelem_sim_max\": 10000,\n", + " \"verbosity\": 0,\n", + " \"gain\": 1,\n", + " \"z0_center\": 2000,\n", + " \"z0_sigma\": 0,\n", + " \"apply_flags\": False,\n", + " \"common_flag_name\": None,\n", + " \"common_flag_mask\": 255,\n", + " \"flag_name\": None,\n", + " \"flag_mask\": 255,\n", + " \"report_timing\": True,\n", + " \"wind_dist\": 10,\n", + " \"flush\": False,\n", + " }\n", + "\n", + " # Simulate the atmosphere signal\n", + " atm = OpSimAtmosphere(out=\"atm\", cachedir=args.atm_cache, freq=args.freq, **common_atm_params)\n", + " atm.exec(data)\n", + "\n", + " if comm.comm_world is not None:\n", + " comm.comm_world.barrier()\n", + " tmr.stop()\n", + " if comm.world_rank == 0:\n", + " tmr.report(\"Atmosphere simulation\")\n", + "\n", + "\n", + " if comm.world_rank == 0:\n", + " log.info(\n", + " \"Processing frequency {}GHz, MC = {}\".format(args.freq, mc))\n", + "\n", + " # Set up the output directory\n", + " mcoffset = args.freq * 1000000\n", + " outpath = setup_output(args.outdir, comm, mc + mcoffset, args.freq)\n", + "\n", + " cache_name = \"atm\"\n", + " log = Logger.get()\n", + " if comm.world_rank == 0 and args.verbose:\n", + " log.info(\"Scaling atmosphere by frequency\")\n", + " timer = Timer()\n", + " timer.start()\n", + " for obs in data.obs: # Now we have only one observation\n", + " tod = obs[\"tod\"]\n", + " todcomm = tod.mpicomm\n", + "\n", + " weather = obs[\"weather\"]\n", + " focalplane = obs[\"focalplane\"]\n", + "\n", + " start_time = obs[\"start_time\"]\n", + " weather.set(123, mc, start_time)\n", + " altitude = obs[\"altitude\"]\n", + " air_temperature = weather.air_temperature\n", + " surface_pressure = weather.surface_pressure\n", + " pwv = weather.pwv\n", + " # Use the entire processing group to sample the absorption\n", + " # coefficient as a function of frequency\n", + " freqmin = 0\n", + " freqmax = 2 * args.freq\n", + " nfreq = 1001\n", + " freqstep = (freqmax - freqmin) / (nfreq - 1)\n", + " if todcomm is None:\n", + " nfreq_task = nfreq\n", + " my_ifreq_min = 0\n", + " my_ifreq_max = nfreq\n", + " else:\n", + " nfreq_task = int(nfreq // todcomm.size) + 1\n", + " my_ifreq_min = nfreq_task * todcomm.rank\n", + " my_ifreq_max = min(nfreq, nfreq_task * (todcomm.rank + 1))\n", + " my_nfreq = my_ifreq_max - my_ifreq_min\n", + " my_freqs = freqmin + np.arange(my_ifreq_min, my_ifreq_max) * freqstep\n", + " my_absorption = atm_absorption_coefficient_vec(\n", + " altitude,\n", + " air_temperature,\n", + " surface_pressure,\n", + " pwv,\n", + " my_freqs[0],\n", + " my_freqs[-1],\n", + " my_nfreq,\n", + " )\n", + "\n", + " if todcomm is None:\n", + " freqs = my_freqs\n", + " absorption = my_absorption\n", + " else:\n", + " freqs = np.hstack(todcomm.allgather(my_freqs))\n", + " absorption = np.hstack(todcomm.allgather(my_absorption))\n", + "\n", + " for det in tod.local_dets:\n", + " try:\n", + " # Use detector bandpass from the focalplane\n", + " center = focalplane[det][\"bandcenter_ghz\"]\n", + " width = focalplane[det][\"bandwidth_ghz\"]\n", + " except Exception:\n", + " # Use default values for the entire focalplane\n", + " center = args.freq\n", + " width = 0.2 * args.freq\n", + " nstep = 101\n", + " # Interpolate the absorption coefficient to do a top hat\n", + " # integral across the bandpass\n", + " det_freqs = np.linspace(center - width / 2, center + width / 2, nstep)\n", + " absorption_det = np.mean(np.interp(det_freqs, freqs, absorption))\n", + " cachename = \"{}_{}\".format(cache_name, det)\n", + " # print(\"{}_{}\".format(cache_name, det))\n", + " ref = tod.cache.reference(cachename)\n", + " ref *= absorption_det\n", + " del ref\n", + "\n", + " if comm.comm_world is not None:\n", + " comm.comm_world.barrier()\n", + " timer0.stop()\n", + " if comm.world_rank == 0 and args.verbose:\n", + " timer0.report(\"Atmosphere scaling\")\n", + " log = Logger.get()\n", + " if comm.world_rank == 0 and args.verbose:\n", + " log.info(\"Updating atmospheric noise weights\")\n", + " timer = Timer()\n", + " timer.start()\n", + "\n", + " site_id = obs[\"site_id\"]\n", + " weather = obs[\"weather\"]\n", + " start_time = obs[\"start_time\"]\n", + " weather.set(site_id, mc, start_time)\n", + " altitude = obs[\"altitude\"]\n", + " absorption = atm_absorption_coefficient(\n", + " altitude,\n", + " weather.air_temperature,\n", + " weather.surface_pressure,\n", + " weather.pwv,\n", + " args.freq,\n", + " )\n", + " obs[\"noise_scale\"] = absorption * weather.air_temperature\n", + "\n", + " if comm.comm_world is not None:\n", + " comm.comm_world.barrier()\n", + " timer.stop()\n", + " if comm.world_rank == 0 and args.verbose:\n", + " timer.report(\"Atmosphere weighting\")\n", + "\n", + " # Questa iterazione montecarlo puo` essere salvata in outhpath, no?\n", + " tods = {}\n", + " for i in obs['tod'].local_dets:\n", + " t = obs['tod'].cache.reference(\"atm_{}\".format(i))\n", + " tods[i]=np.float32(t) \n", + " np.savez_compressed(outpath+'/tod_mc_'+str(mc), tods)\n", + "\n", + " timer_MC_iter.stop()\n", + " timer_MC_iter.report(\"Monte Carlo iteration completed in \")\n", + "\n", + "gt.stop_all()\n", + "\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 159, + "id": "polished-candidate", + "metadata": {}, + "outputs": [], + "source": [ + "if mpiworld is not None:\n", + " mpiworld.barrier() \n", + "timer = Timer()\n", + "timer.start()\n", + "alltimers = gather_timers(comm=mpiworld)\n", + "if comm.world_rank == 0:\n", + " out = os.path.join(args.outdir, \"timing\")\n", + " dump_timing(alltimers, out)\n", + " timer.stop()\n", + " timer.report(\"Gather and dump timing info\")\n", + " timer0.report_clear(\"Test simulation\")" + ] + }, + { + "cell_type": "markdown", + "id": "modified-sussex", + "metadata": {}, + "source": [ + "# Analysis and property of the `obs` dictionary\n", + "\n", + "The complete set of informations about this observation was put into the `obs` dictionary. This structure collects all the information about the pointing and the signal acquired by each single detector" + ] + }, + { + "cell_type": "code", + "execution_count": 160, + "id": "antique-toner", + "metadata": {}, + "outputs": [], + "source": [ + "import pylab as plt\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 161, + "id": "usual-intent", + "metadata": {}, + "outputs": [], + "source": [ + "atm_stream = data.obs[0]['tod'].cache.reference('atm_I0')" + ] + }, + { + "cell_type": "code", + "execution_count": 162, + "id": "distant-hudson", + "metadata": {}, + "outputs": [], + "source": [ + "theta, phi, pa = qa.to_angles(tod.read_pntg(detector=\"I0\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 163, + "id": "literary-cemetery", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "num = 10000\n", + "plt.figure(figsize=(7, 5))\n", + "#plt.plot(np.degrees(phi[:num]), tod.cache.reference(\"atm_I0\")[:num]*10e-3, \".\")\n", + "plt.figure(2)\n", + "plt.plot(np.degrees(pa[:num-1]), '.')\n", + "plt.xlabel(\"$P.A. [deg]$\")\n", + "plt.ylabel(\"$Signal [ mK_{RJ} ]$\");" + ] + }, + { + "cell_type": "markdown", + "id": "raising-adaptation", + "metadata": {}, + "source": [ + "## Beam convolution \n", + "Thi convolution assumes perfectly gaussian beams. I assume the FWHM of the beam represents the $\\sigma$ of the gauss function" + ] + }, + { + "cell_type": "code", + "execution_count": 164, + "id": "spiritual-irrigation", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2" + ] + }, + "execution_count": 164, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "res_Q = 0.3 # deg\n", + "speed = args.scanrate*np.cos(np.deg2rad(args.ces_el)) # deg/sec\n", + "f_sam = args.sample_rate # Hz\n", + "\n", + "N_sample = int((res_Q / speed) * f_sam)\n", + "\n", + "N_sample" + ] + }, + { + "cell_type": "code", + "execution_count": 165, + "id": "naked-turkish", + "metadata": {}, + "outputs": [], + "source": [ + "def moving_average(x, w):\n", + " return np.convolve(x, np.ones(w), 'valid') / w" + ] + }, + { + "cell_type": "markdown", + "id": "insured-bahrain", + "metadata": {}, + "source": [ + "# Create the binned map" + ] + }, + { + "cell_type": "code", + "execution_count": 166, + "id": "patient-insurance", + "metadata": {}, + "outputs": [], + "source": [ + "from numba import njit\n", + "@njit\n", + "def make_a_map(output_map, signals):\n", + "\n", + " hits = np.zeros(len(output_map), dtype=np.int64)\n", + " for pix, signal in signals:\n", + " for p,s in zip(pix, signal):\n", + " output_map[p] += s\n", + " hits[p] += 1\n", + " output_map[hits != 0] /= hits[hits != 0]\n", + " return hits" + ] + }, + { + "cell_type": "code", + "execution_count": 167, + "id": "apart-steering", + "metadata": {}, + "outputs": [], + "source": [ + "from numba.typed import List\n", + "\n", + "signals = List()\n", + "for obs in data.obs:\n", + " for ch in data.obs[0]['tod'].detectors:\n", + " t = moving_average(obs[\"tod\"].cache.reference(\"atm_%s\" % ch), N_sample)\n", + " p = obs[\"tod\"].cache.reference(\"pixels_%s\" % ch)\n", + " signals.append((p, t))" + ] + }, + { + "cell_type": "code", + "execution_count": 168, + "id": "vocal-morgan", + "metadata": {}, + "outputs": [], + "source": [ + "npix = 12*args.NSIDE**2\n", + "\n", + "output_map = np.zeros(npix, dtype=np.double)\n", + "h = make_a_map(output_map, signals)" + ] + }, + { + "cell_type": "code", + "execution_count": 169, + "id": "backed-promotion", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "hp.gnomview(output_map, rot=(75,30), xsize=5000, ysize=5000, cmap=\"coolwarm\", min=-1500, max=1500, nest=True)\n", + "hp.graticule()" + ] + }, + { + "cell_type": "code", + "execution_count": 172, + "id": "welcome-theory", + "metadata": {}, + "outputs": [], + "source": [ + "O2 = moving_average(data.obs[0]['tod'].cache.reference('atm_O2')*10E-6, N_sample)\n", + "B4 = moving_average(data.obs[0]['tod'].cache.reference('atm_B4')*10E-6, N_sample)\n", + "\n", + "R3 = moving_average(data.obs[0]['tod'].cache.reference('atm_R3')*10E-6, N_sample)\n", + "R0 = moving_average(data.obs[0]['tod'].cache.reference('atm_R0')*10E-6, N_sample)\n", + "R6 = moving_average(data.obs[0]['tod'].cache.reference('atm_R6')*10E-6, N_sample)\n", + " \n", + "\n", + "I2 = moving_average(data.obs[0]['tod'].cache.reference('atm_I2')*10E-6, N_sample)\n", + "I1 = moving_average(data.obs[0]['tod'].cache.reference('atm_I1')*10E-6, N_sample)\n", + "\n", + "Y3 = moving_average(data.obs[0]['tod'].cache.reference('atm_Y3')*10E-6, N_sample)\n", + "Y0 = moving_average(data.obs[0]['tod'].cache.reference('atm_Y0')*10E-6, N_sample)\n", + "Y6 = moving_average(data.obs[0]['tod'].cache.reference('atm_Y6')*10E-6, N_sample)" + ] + }, + { + "cell_type": "code", + "execution_count": 173, + "id": "binary-invention", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Signal $K_{RJ}$')" + ] + }, + "execution_count": 173, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "time = np.linspace(0, len(R3), len(R3))/20.0 # sec.\n", + "\n", + "plt.figure(figsize=(10, 7))\n", + "plt.plot(time[:120*20], R3[:120*20], '.')\n", + "plt.plot(time[:120*20], Y6[:120*20], '.')\n", + "\n", + "plt.xlabel(\"Time [sec.]\")\n", + "plt.ylabel(\"Signal $K_{RJ}$\")" + ] + }, + { + "cell_type": "code", + "execution_count": 174, + "id": "controlled-asian", + "metadata": {}, + "outputs": [], + "source": [ + "# plt.figure(figsize=(10, 7))\n", + "# plt.plot([0, 1, 2, 3, 4, 5, 6, 7], [np.median(R3), np.median(R0), np.median(R6), np.median(I2), np.median(I1), np.median(Y3), np.median(Y0), np.median(Y6)], '.')" + ] + }, + { + "cell_type": "code", + "execution_count": 175, + "id": "computational-verse", + "metadata": {}, + "outputs": [], + "source": [ + "from scipy.signal import periodogram\n", + "from scipy.signal import welch\n", + "import scipy.signal as signal" + ] + }, + { + "cell_type": "code", + "execution_count": 176, + "id": "closed-boundary", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(1e-11, 0.01)" + ] + }, + "execution_count": 176, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "f1, p1 = welch(R3, fs=20.0, window='hamming', nperseg=300, noverlap=10, scaling='density')\n", + "f2, p2 = welch(Y6, fs=20.0, window=signal.get_window(('kaiser', 4.0), 1000), nperseg=1000, noverlap=200, scaling='density')\n", + "\n", + "plt.figure(figsize=(10,7))\n", + "plt.loglog(f1, p1, '.-')\n", + "plt.loglog(f2, p2, '.-')\n", + "\n", + "plt.ylim(1E-11, 1E-2)\n" + ] + }, + { + "cell_type": "raw", + "id": "quick-creation", + "metadata": {}, + "source": [ + "import statsmodels.api as sm" + ] + }, + { + "cell_type": "code", + "execution_count": 177, + "id": "disciplinary-boxing", + "metadata": {}, + "outputs": [], + "source": [ + "cx = sm.tsa.stattools.ccf(O2, B4, adjusted=False)\n", + "cx2 = sm.tsa.stattools.ccf(R3, Y6, adjusted=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 178, + "id": "harmful-relative", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Cross corr [normalized]')" + ] + }, + "execution_count": 178, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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9ju0aK8zwBAAAcVlD2j1m9kIzawSXF6o9kQADWtixWZua8wQ0AACwQtaQ9lJJz5f0PUnflfTc4BgAAABykHV2552SnpVzWxDRamVP0AAAoH4yhTQzWy/pFZKmo9/j7lTTAAAAcpB1x4FPSvq/kv5Z0lJ+zRlP6x+8Ttq/8piZ2stwzC0W0iYAAFCsrCHtge7+2lxbMsau33aKWuctXw83WgcAAOMr67CnK8zsmbm2ZMz9uHWgJMIZAABoyxrSXql2UPuZmf3YzO41sx/n2bBxc1zzIgIaAADoyBTS3P0h7j7h7ge5+0OD6w/Nu3Hjzl3SNW8suhkAAKAAXUOamf1irzvIchv0r7M91BfeUWQzAABAQXpV0q7McB9ZboMM2B4KAACEeoW0xwdj0NIu90p6xCgaWndsDwUAAKK6LsHh7o1RNQQAAADL2Hmo5FxqL2oLAADGCiGtxMwUpDQAADBuCGklw+QBAAAgZQhpZjZhZjePojHjjskDAAAg1DOkuXtL0lfN7KgRtAcJwuoaAAAYH1k3WD9M0i1mdp2k+8KD7v6sXFoFAAAw5rKGtPNzbQUAAABW6BnSzGxC0rvc/bEjaM/YW9ixWa3zVh4zU3sZjrnFQtoEAABGjzFpJdfZwxMAAIwVxqSV0Odav6yTGzfJnZAGAMC4YkxaCb2k+Trtmdi6IqC1WixqBwDAOMkU0tz9c2b2CElPDA5d5+5359csAACA8ZapOGNmz5d0naTnSXq+pC+Z2XPzbBhW6kweAAAAYyFrd+cbJD0xrJ6Z2XpJ/yzpY3k1bJzFZ3iasU0UAADjJuswp4lY9+YP+vherMEFS6dJIpwBADCusgatq8zsajM708zOlLRT0qfzaxbeurQ1OaB96NkjbwsAABi9rBMHXmNmz5F0kiSTdKG7X5pry7BC2OVpe/6l6KYAAIARyBTSzGyDpCvd/RPB9YPMbNrdF/Js3LhrtaRGQ6yXBgDAGMra3flRSa3I9aXgGHK0qTnPmDQAAMZU1pA26e77wyvB5+vyaRKk9gzPJK1W4mEAAFAzWZfg2Gdmz3L3yyXJzLZIuie/ZgHAiGVZh3BuMf92AEAgayXtbEmvN7M7zexOSa+VdFZ+zUIaFrUFcpD1f4r/PQAjlHV257ckPcnMHizJ3P3efJsFiUVtgZHoN3iFt6eqBiBnfS1I6+4/IaCNVjgGjXAG5GCQyhhVNQA5Y9eAkkua4cnkAWAIhhGy5qYIawByU2hIM7NTzexWM9ttZrMJX3+MmX3RzH5uZq8uoo0A0BNBDUAOsi5m+zxJV7n7vWa2TdITJG139y+v9YHNrCHpXZJOkbRX0vVmdrm7fz1ysx9K+iNJp6/1cQBglW6hKj7WrN9JBYxVAzAkWZfg+DN3/6iZnSTp6ZLeJuk9kk4Y4LGPl7Tb3fdIkpldImmLpE5ICzZ1v9vMkhcNGwPxyQNSZIYnLwbA0LRa0sb989LszhXHF3YE/2f9hDX+NwEMQdbuzqXg42ZJ73H3T2rwxWwPl/TtyPW9wbE1MbOzzGyXme3at2/fgE0rL7aHAgYUC1vu7UvaWM/pMLT1E7zo/gQwBFlD2nfM7H9Ler6kK83sAX18b5qkuLHmOYzufqG7z7j7zPr16wdoVvkwwxPIl3t7kk6a6dmd7ct/zWcPa0wqADCgrEHr+ZKulnSqu/9I0iGSXjPgY++VdGTk+hGS7hrwPmuJGZ5APsL/q37+n8Kw1mxm/AaCGoA1yhrSDpO0091vN7OTJT1P0nUDPvb1ko4xsw1mtk7SGZIuH/A+x0Z7XNrBRTcDqJYgMEXf9PSqoqXZ1JzX9H/NZwtsFz617/sHgKwh7eOSlsxsk6T3S9ogqf9ntQh3b0o6R+0K3TckfcTdbzGzs83sbEkys180s72S/ljSNjPba2YPHeRx62B5XBr9n0C/3Ic/tnNTs0dQu+sGghqAvmWd3dly96aZPUfSO9z9783sK4M+uLtfKenK2LELIp9/T+1u0LG2sGOzmtukRiOfFxhgLMxNraqgSdKPWwd2ji3saE8kn47N8MxiU3Neakp71m3VRNLb37tu6Ps+AYy3rJW0+83sBZJeJOmK4NgB+TQJSZLGpQHoX/RNjrt0XPMiScsBLfw8vPSr1eoyyYfxaQD6kDWkvUTSiZL+3N3vMLMNkv4hv2YhCyYPANlF/1/iEwa6hbF+w9qm5ryWlrqENYIagIwyhbRgF4BXS7rJzB4raa+778i1Zeips6gtgL6FEwayBrB+wtqm5nz3pXP4vwWQQaaQFszovF3tbZzeLek2M3tKfs1C3FOOOXTFdcalAdk1t00N7X8ma1gLK2oSaxwCWBvzDM8eZnaDpK3ufmtw/VGSPuzuv5pz+9ZkZmbGd+3aVXQzhq65bUqNRvtzs+WV0ifexBY0QDet89ohLQxqw/7f6TbRYPfk1hX/tyuwfRQAtXOWu8/Ej2cdk3ZAGNAkyd1vExMHRo7JA8Dg1rKAbS/dqmtd/2/p9gTQRdaQdoOZvd/MTg4u75XEfHIApZdU5XKXJrcPv4qVFtYYnwZgLbKGtLMl3SLpjyS9UtLXg2MYobUsBwCMu92TW0c+hjP+v9pzfBpBDUCCniHNzCYk3eDuf+3uz3H3Z7v737j7z0fQPvTADE8g3fTszs7CsqUPam86NOEggHHWM6S5e0vSV83sqBG0B31ghifQnzAcTRz4kJE8Xpag1glsrft5wwVghX42WL/FzK41s8vDS54NQ7KksS0sagskS+rqdJf0+r0ja0NSUIv+/8ZnnBLUAISy7t15fq6tQGabmvPaMzH6MTZA1UzP7tSede3Po/8viftq5mxhx+YVExhareW9eCV1lgcJg5qFQY0lOoCx1vXpysw2mdmT3f1z0YsklzS6t6IAMKCil6+JVtTCbs94l2e8qtY6b6pdWXvn8SNuLYAy6PWe8h2S7k04/tPgaxixpBmeZpK2Hzb6xgAV0+5OLK46FV2iY1NzXhv3r15DLbrobqe6tu9WukGBMdQrpE27+9fiB919l6TpXFqEvnS6cZo/LbQdQNkkjUcroqszSfTNVnScaXysWnyXBM1NEdaAMdLrKevALl87aJgNQXZdF8YEUOjSG1kt7Nis446YSuz6TKquhV+TRFADxkSvkHa9mb0iftDMXiZ2HChM0jYzzPAE0pX1Dc1l55ykhR2bO12f3cJafHJBu6p2cBHNBjAivWZ3nivpUjP7HS2HshlJ6yQ9O8d2oU+dRW2ZDYYxd8rbP5t43F2y88v5/7Hc/bmo6dmd2j25VRMTy6EstGoWqDn/90CNda2kufv33f3X1F6CYyG4nO/uJ7r79/JvHpKsf/C6FdfDrhCKaYB0+777Eo+XZTxaLws7NuvEAz+2orKWNAt0RYCj+xOopUzrpLn7v0r615zbgoyu33aKmtuW11nqjLkhpQGSitmvc5iu33ZK8NliZ3213ZNbU9dWo5IO1FNF3lsiLmlcGoC2+KSBKge26JIdaWurUVED6omQVlFJ66UB4y66qn9o+c1MdZNalrXVOuampI+vmu8FoIIIaQBqJbWrc+5Ho27KUGVZW63jpo9QVQNqIOvenagAM6m5bUqT2xmXgvFV9vXRBrGwY7OeuP0abfrJvHZr5QzQ5GDKOLWqiI49TJrk0jnG73OsUEmrifAJuioz2IBRSA0vFRZOKoiurSZ1qapRUSu96dmdun1yq/asa08Oie42kTiTl9/p2OAlvcLYeQBYljQeraNm1Ycsm7WvwIt6aYUBbbKxcqJLWlBjksh4IaRV2OT2RQIaEFH1pTf6EQ9qSRMKVuBFvXTCNxaNSBd9dAuw6CX6dapq44OQBqA26jweLUl8lnfPCQW8qJdO/I1FfPHipM/jO1HwO60vQlrNmEl65/FFNwMYqdPf+W+rjtVxPFovmbo+JV7USyDc/qvRaF+P/q2GFbON+5P3dI3enqpavRHSaiT8p23efWuxDQFG7Ma9Xcac1Ww8Wly8mhafUIDyild+V7yxmFtctT5e0iQRqmr1RkiruKTJA/xSgfGStLh1vKq2Ci/mhQmraPFuzo7IG4uFHZsz7Tqx4j743dYGr+cVx/ZQQFv8RW/cujoJatUQThZIGj/Z3oM1ufLbd1WN320tENIqLumJOVzUFhgH3V70QFAro8QqWoa/2yxLrxDU6oWQVjMsaguM79qBaXv6UnEvh65VNCnT+Ml492e8qhbeb6fCRlCrNF7Ka2Cu9XJJq1+Yjn5dl8U9gXFQ80kDSdKC2m2tR1JNK4GkKpqZpJdd09f9JFXVwvuTYuPUmPlZWYS0GnjT9rcnPvku8c4ZY2Lcx6PFJQW1U5tv061Lj+xMNsJo9eyWP7L/pZOSJhVIyUGNqlo1EdJqyqz9wgWMg+gLH9166U5tvk2tFltHFSW1inboowe6315BLXxMAnr1ENJqIjoGjXFpGBfjtF9nv9Y0Po2glotzL/lK6sK1kqRzrhv4MdKCWvR3bSa1zptiYlmF8DJeM1QRMG7Gab/OfqUFtdRqGnJx2Y13dV+4dkjC7s+kGb3RzdsbDVYAqIrJohuAIZlblJ83teqffnp2Z+oTNVAHq8b4ENhWWNixeVXFcVNzXru1VY3JhNM1NzX2Vci8pS1cOyzt3/l8p3oXBsJoQAyD2qbmfF/3i9EipAGopKSuzk514kGPGH2DKmZTc157JrZKE+TaPCXtLiB1X7h2GNqBalHNbVOdoBY+bjh2s9GQ9kxsVaulTGEt+j9HYBsNujtrjMkDGFuvua3oFpRKt25PMYkgN9OzO3XGxLXpY9FGYHL7YtetpMLuzz3rtnYuWV43uo4HxdBQSauRiYnVixlOTEinv/PfdNk5JxXbOCAHjEcbTKeaJpYtyctfTL5fUmzdMpM0ccDI2jC5vV2xi1bV4t2f0d9/WGELpVXaqKzlj0paDcUHBN+4l/ElqJe0NacIGun6fhGlmjaQbpuomySdd8/I2xRW1cK2xLtAo8Etej2stHWrsE3P7qS6lgNCWp3MLa4KaGGXJ/88qDtmK/aWFNTCtbNYO234+t1EfRQmty+uCmRxaaGtn7BGaBsOQlrNsF4axh4zE7uKB7WkBVAxmG5VtFKYW+zr/2QtYS1EYBsMY9LqZuooafHOFWMMlqtp84wbQG2wFdTwdJbkaOSzftc4CQNa0mSBoqtoq8Tb0qNyGh/D1m126O7JrasKBK3z2pXbcIwceiOk1c2rbpLNTXUmbEUnEAB1kroHInpKWzttz0TCRAzWTetLUkArVRWtm4yhLS2sJd0mrtFo73pAWMum0JBmZqdK+ltJDUnvc/cdsa9b8PVnSvqppDPd/csjb2hF8Y4YdZTWlcTfen+Sgloqglom07M7tWdd+/N4QCtdFS2LsL0Zw1ra16Oiwa65bWroQa2fbtUq9CwVFtLMrCHpXZJOkbRX0vVmdrm7fz1ys2dIOia4nCDpPcFHdJOw+wBdnqiT1Cpa1V4ES6bVUnqXJ0Gtq66zOasY0KIyhrU08eE34bGwqjYxoTWdn34CWVr3axZFVv2KrKQdL2m3u++RJDO7RNIWSdGQtkXSh9zdJf2HmR1sZoe5+3dH39xqSVszTZKOft1OfesvCWqoh8p0JZVQvJrG2LS1+dm2Q7Rn3VLiUjDukp1f4YAW1SOsJYkvoiut3PUg/LiUsaqWJZglBbJB/pbzqvplUWRIO1zStyPX92p1lSzpNodLWhXSzOwsSWdJ0lFHHTXUhlZZ0hPtEi9qqJnKVypKhKDWn59tO0QHNpY61+PdnLUcDzy3mDmohecjXOolDGXRr/WqqnULZv0EsrX+LRc5rrvIkJZ0uuLxIctt2gfdL5R0oSTNzMwQQ7p0eW5qzrPxOiopbR9ErB2TCNauPQatHdBq2c3ZTZ8/V5hxmtvaQSxaSUuqqvXaSzQMZ/0GsrVW3lutYtYsKzLj75V0ZOT6EZLuWsNtkCJpzbRGg/08UW3M6hw+3rD1795t67Vn3eoxaGMR0AYwuX1RG/evXpsvuhZbdC/R6OvV7snl/UUbjeTdEeLbXcUvace7XZaWxnNM2vWSjjGzDZK+I+kMSfH0cLmkc4LxaidIWmQ8Wn+S3q2EL3JU01AlSV0ejEcbnnhFLXUSAdU03bttvR7c2N+5Hg9qax0IPy7af2sru9Wl1VU1aeXyHvE3Zr3eqKVW2focI1hkNauwkObuTTM7R9LVai/BcZG732JmZwdfv0DSlWovv7Fb7SU4XlJUeyspGDcQ/6OPdnsCVUfFIh+pXZ7SWAe1dhdnO6AldXES0LJpFwgWU7s/Q/E3CX1V0J98rnTK+UNqcTEKXSfN3a9UO4hFj10Q+dwl/cGo21UrsQGeVNNQZYxHy1fmatqYOveSr3Td7ok3DP2b3L6oDbM7dfvk6qpa9GMmNTz3dZx3ghTxJ5Owr5891VAV8fFoBIfhi75p67qv55htvn7uJV/R224+OXG7J3fJGgfUMiSMwh07Nnc2fk8aN9bVLz+/771Iq4SQNg7mFhPLxUwiQFWUfsPqmokHNc61EgPaii7O8+4ppF21MreoiTctJk4CSLqt5hal33rvSJs4auzdOUbiQY1uT1QJuwwUJ97t2en+HJOxac1tU6kBbcmkyTE4ByPF+eygkjaG0ro9gbKiijZ63appq2Z71tjG2Z2r3iAQ0DAqhLRxkfBEEj7hRKtpQBklVdEYpJ2/aFALV4wft4B8W8obhKUlAhryR0gbJ8ETSnRwZnidSQQoK/4mixUGtaRJBJ3nkZpW05K6OaX2z13U4qYYL4S0cRN75xevpgFlN26VnDLp2u1ZM/d3GYfG8yVGhT+1MUU1DVWRtDaau+jqHKFu3Z51rKZNz+5UI20c2pL428PIENLGUaTbM/qRJTlQNtMJg7YlKhlFiHZ7xt/gLQe1g0ferjykTVQpcg9HjCee6sZcfHXn8MVv/kt3FtMgoAu6Oot18EHtVZvi1bTlQFP9X1DaGwPGoaEIhLRxlTKJIPT6S28acYOAlZIWsJUkZ1ZnYW5849Ml1XcSQbdFk6neogj82Y2zlGU5GJuGMtgd7OUnxbo6i2kOApm6PSsoDGhpszl5Y4Ai8HyHVWPTeMeIMkhbQBTFO/spGyUlr53WDjTVqqalBTSqaCgaf3qQxExPlEv8727F2CcqGoWbfeYvSarHkhy9Ahp/cygSIW3cpcz05J0jisSyG+UXdntWuZpGQEPZ8VKMDvb0RFmkbqaOUlnYsTm1mhaGtzIjoKHsCGnoWU2jyxOjlNbVWYUX/XGVVE1rh5xyVtOmZ3cmLrVBQEPZENKwQvxJ9uOT2yRJjz3vqoJahHGSuuwGa1SVVtWqaeGbgLSlNghoKBNCGtpS9vR8/MQeSdJP9i+NukUYQ2lLIKDcFnZsTq2mNbeVr5rGUhuoCkIaVoivdRT9A6HbE3lqsqF1paVV08r0u2OpDVQNf5JYFhubBowS44OqrezVNGZyoooIaegqPsuTahrykPZ3RfdTtUxuXyxlNY2AhqoipCFVWZ5gUW/d9kss48BzdFfGahoBDVXFyy96opqGvIQBLWldNGZ0VlNaNa3RkL677aiRt6fbWEcCGspusugGoGTmFlesbRROJIhX03Zc+Y3O1jAYnmgAjoaXVqs9MDsUrvZeddEKRyhaReNdZDW1Wu1Q5t5+DgmfRx4xMdpAREBD1ZnXcNfimZkZ37VrV9HNqK7YApThn8jSUj2DQtHSglnitkhaGdiq+js495Kv6LIb79KedVs7L+Ih9+CNwZt4Aa2yeECKPo+MpEI6N7UykKmANgAZmdkN7j4TP84bVayWsmZavJpGt+dgTnn7ZzvdfXvWtS+NhlaElqTPGw1pz7qt2j25tZK/gzCgpe7PKWnigAeMvmEYqkInERDQUBOENGSWtJ9nFUNC0cItaW7fd1+nuy8pjEUDTPxYNKw1t01V6vdw2Y13Seqx5Maf3T36hmHoCplEQEBDjRDSkCxjNQ3ZheFMUqd6Fu0OigczabnrL/4iFw9rVamqpW3JE2LJjXoZeTWtR0CLDtcAqoCXXAwsGj6QLD7uLKyeScmLB0eDWfRj9Hg0rIVBrcyiAY0V38fHyKppsQlP0ccMA1pVx3BifPGUiHQJ1bSkLs8QYW21cNyZlF49C60IYZHK2sSbFldV2uJhTWoHtee87m9G84P1KS2grfo5qKLVTrclOYYW1IKAFs4mDT+XCGioNpbgQN8aDWm3tqZ2HUSD2jg/MZ7y9s/q9n33SVq91ETSwq3h5xMTkjY+VXrRpctfiIQXm5tSq7UccqJLHHykMafp2UeV6rxH/x7S1kObmBABrcZaE1LDV/+9DqVySkBDjRHS0JfwybVXUAuNc2BLCmhpsxk7XZ/nZwgqc4ua0PISB9EXp/D3Mj1bvhemtF0FCGj1Nzm3mPj3GnZ7rmkwfySchfcVvc4YNNQB3Z3oLuHF00yS9f8ueJy6QntVj6SEbr4+g0q3bqSyjE/rNg6t8zkBbSwMtduzj4BWtjcrQD8IaegtKaipHT76DQPjNm4tbS2waLfPICElDIDxF6uJieJDcaaAhrESn0TQd1Cbm+rM4FzxPyQCGuqJkIaBTE6urWpTdIDIU69w0rm+7iGDV5HmFle9SIX3X+SyHN0qiSs2OaGKNlYmty9qaan9eVJQa503tWrHkzCYRcNZ9PuixwhoqBtCGrLp8mI6OSktHEhQk/oIaJL0+r3DedC5Ald27yFpHFrnOgFtLHULap3toxKCWdLSM9HlaQhoqCP27kR/4u9yU7RaqzcFT1OXJ9Ro6IzvSbkinEjDDyixRTyLnN0Wnoddk6/QIRP3JS7SS0BD0ubnUqzSqtVfj9+GcIY6YO9ODEfGF9eJieVti8J9JtPUraKWuJp+ngEtuM+k8V5FVdN2Tb5CD2/cx7gzpIpX1OKVsqRdOOKLPBPQUHeENPQvY8iwYAZoNLB1Wwi3yrqupq9IRsuzgjR1VPvxChybFj7OIRP3dR6fKhrShEEtaVeNpEt4m6UlaeP++U6VmICGuiKkYW36fKENX6y7LQ9R9aCWOosx/CTvcPKqmwqtpm16ffK+nDUcUYEhmty+qI375zthrduFcIZxw2K2WLu5xcxj1KTVC64mjVebnt1ZuSfeMFwmzWIsqrsvvmDo7smtOvp18/rWX+Z3bpvB8gpp68JJooqGRAs7Nmt6Ntv41YX8mwOUBiENg4m+6PYR2MI11qq+Injm6t+owsncoixhEsHEhLTUHE0T4pjNiSyq9uYMGAW6OzE84ar5PV6Me3V9VrHbs4xLTSSNTctLdEwekwUAYDgIachHj8BWxi2MBhHv4is0oHWZ6ZlnAO62NhxVNADoHyEN+esR1JIGtlehmlaF6tEoqmndxuQBANaOkIbR6BLU0sJDFYJaaatHXXYhyOO8lrG7FwCqjpCG0enyYp22TERZg1oVqkfxzdfzkHYeOghoALBmhYQ0MzvEzK4xs9uDjw9Lud1FZna3md086jYiJwkv2t2qaWWU1s1ZuupRrJom5XOeu54HAMCaFVVJm5V0rbsfI+na4HqSiyWdOqpGoTi9FrotoypUj6IVymF3eVJFA4B8FRXStkj6YPD5ByWdnnQjd/+8pB+OqE0YlS7j08o+iSCtLWWvHuXV5UkVDQDyU1RIe4S7f1eSgo+/MOgdmtlZZrbLzHbt27dv4AYiZ12CWhUmEcTDSam6OaO6dHkOek6/Mfm75Zw0AQA1kVtIM7N/NrObEy5b8ng8d7/Q3WfcfWb9+vV5PASGLeWFvKyTCMLHv23yd9LDSQmldXkOYnp2px4wsbTiPqmiAcBw5RbS3P033P2xCZdPSvq+mR0mScHHu/NqB6qlrJMIogFxcqJdmqpMIDntbyXlu2baimodVTQAGIqiujsvl/Ti4PMXS/pkQe1A0VJme5Zpy6joYyaNweooaziZOXOoOxBMz+5MXMDXXeU9BwBQQUWFtB2STjGz2yWdElyXmT3SzK4Mb2RmH5b0RUmPNrO9ZvayQlqLkUubRFC0Um3/tAbDmkCQNKOzjL8vAKiyQp5W3f0H7v40dz8m+PjD4Phd7v7MyO1e4O6HufsB7n6Eu7+/iPYiZyWdRDA9u7PwcXBDM6Q105KqaGVawBcA6oT3viiHlG7PoiYRJN1/6h6dFamiDWPNtFsnX5g4acJMlTkPAFAVk0U3AOgmrPZsas6v+tr07E4t7Ng8lMfJElRSF22tmOgszOVqWu+ANT27U3vWtTrfF94XACAf5jV8lp2ZmfFdu3YV3QysxdzUqkPu0tKSEoNaKC2sDaviVtqN1PvUOm+qM4NWap9bd2nj/vmegbe5bWrFOQifOqiiAcBgzOwGd5+JH6eShtLrzPZUckVNyrf7sy4BTWpXA8NgFq+mTc92D2pJlUR3yc6v1jkAgKpgTBrKpc8to0ahLt2cktoTCFKW4+jmZ9sOSZwswIxOAMgPT7EonxJVp3ZPbtXEREpAK1E7+xH+02dd3DZpd4HO91f0HABAFRDSUBkTE6PdiWBhx2ZNpg0IqHI4iS3H0WumZ9qSG61Wjm0EADAmDSU1t5g4iWByUlqY3Krp/0qfRJBVz5mhCY9fF1nHpsUnC4TcpcntFQ6qAFABhDRU0sKB2YPampbpqHFAk9SupgUzPaXl2ZrhBI3p2fnECROMRQOA0SGkobxSqmmhhQO3FtPtWOWuzoiwmhaKBrU9E1tXHJeWb7u0RBUNAEaB98Mot16BKI+KV7f7rElAC4XBbMWaZ8HHpMkSdHMCwOgQ0lB+owxq17xx7e2omuDniYexMKDFF72V6OYEgFGiuxP1EA1qaw1TdR+HliTSpRydRBBaNQu0bkEVAEqMbaFQHWsNUVmCRa/7rns4mZtK3YfTPaig1f0cAEBB2BYK1ddjIkH69yV8Tz/3deDD+n/MqplblKWcD7Z9AoBiUElDNY2qa/LAh0mzC6N5LADAWKKShnpZa1Wt38cAAKAgzNVCdc0tSqf9bX73DQBAgQhpqLaZM4Oq2hBDFQENAFACdHeiPqLhak0TDAhnAIDyIKShnroFrmGsqQYAQM4IaRg/BDMAQAUwJg0AAKCECGkAAAAlREgDAAAoIUIaAABACRHSAAAASoiQBgAAUEKENAAAgBIipAEAAJQQIQ0AAKCECGkAAAAlREgDAAAoIUIaAABACRHSAAAASsjcveg2DJ2Z7ZP0nzk/zKGS7sn5MbAa570YnPdicN6LwXkvxjif9//m7uvjB2sZ0kbBzHa5+0zR7Rg3nPdicN6LwXkvBue9GJz31ejuBAAAKCFCGgAAQAkR0tbuwqIbMKY478XgvBeD814MznsxOO8xjEkDAAAoISppAAAAJURIAwAAKCFCWp/M7FQzu9XMdpvZbNHtqTozO9LM/tXMvmFmt5jZK4Pjh5jZNWZ2e/DxYZHveV1w/m81s6dHjv+qmd0UfO3vzMyK+JmqxMwaZvYVM7siuM55z5mZHWxmHzOzbwZ/9ydy3vNnZq8KnmNuNrMPm9mBnPfhM7OLzOxuM7s5cmxo59nMHmBm/xQc/5KZTY/0Bxw1d+eS8SKpIelbkjZKWifpq5KOLbpdVb5IOkzSE4LPHyLpNknHSnqrpNng+KyktwSfHxuc9wdI2hD8PhrB166TdKIkk/RpSc8o+ucr+0XSH0ual3RFcJ3znv85/6Cklwefr5N0MOc993N+uKQ7JB0UXP+IpDM577mc66dIeoKkmyPHhnaeJf2+pAuCz8+Q9E9F/8x5Xqik9ed4SbvdfY+775d0iaQtBbep0tz9u+7+5eDzeyV9Q+0n1C1qv5gp+Hh68PkWSZe4+8/d/Q5JuyUdb2aHSXqou3/R2/+9H4p8DxKY2RGSNkt6X+Qw5z1HZvZQtV/E3i9J7r7f3X8kzvsoTEo6yMwmJT1Q0l3ivA+du39e0g9jh4d5nqP39TFJT6tzNZOQ1p/DJX07cn1vcAxDEJStf0XSlyQ9wt2/K7WDnKRfCG6W9js4PPg8fhzp3iHpTyW1Isc47/naKGmfpA8E3czvM7MHifOeK3f/jqS3SbpT0nclLbr7Z8R5H5VhnufO97h7U9KipIfn1vKCEdL6k5TWWcNkCMzswZI+Lulcd/9xt5smHPMux5HAzE6TdLe735D1WxKOcd77N6l2V9B73P1XJN2ndvdPGs77EARjoLao3aX2SEkPMrMXdvuWhGOc9+Fby3keq98BIa0/eyUdGbl+hNolcwzAzA5QO6D9o7t/Ijj8/aDkreDj3cHxtN/B3uDz+HEke7KkZ5nZgtrd9k81s38Q5z1veyXtdfcvBdc/pnZo47zn6zck3eHu+9z9fkmfkPRr4ryPyjDPc+d7gq7rKa3uXq0NQlp/rpd0jJltMLN1ag9avLzgNlVaMJbg/ZK+4e5/HfnS5ZJeHHz+YkmfjBw/I5jhs0HSMZKuC0ro95rZk4L7fFHkexDj7q9z9yPcfVrtv+N/cfcXivOeK3f/nqRvm9mjg0NPk/R1cd7zdqekJ5nZA4Pz9TS1x79y3kdjmOc5el/PVfu5q7aVtMJnLlTtIumZas9A/JakNxTdnqpfJJ2kdqn6a5JuDC7PVHuMwbWSbg8+HhL5njcE5/9WRWZWSZqRdHPwtXcq2FGDS8/fwclant3Jec//fB8naVfwN3+ZpIdx3kdy3s+X9M3gnP0ftWcUct6Hf54/rPa4v/vVrnq9bJjnWdKBkj6q9iSD6yRtLPpnzvPCtlAAAAAlRHcnAABACRHSAAAASoiQBgAAUEKENAAAgBIipAEAAJQQIQ0AAKCECGkAKsvMHm5mNwaX75nZd4LPf2Jm787h8S42szvM7Oxh33dw/79tZrvN7Io87h9AtUwW3QAAWCt3/4Hai8PKzOYk/cTd35bzw77G3T+Wxx27+z+Z2fclvTqP+wdQLVTSANSOmZ0cVqPMbM7MPmhmnzGzBTN7jpm91cxuMrOrgr1jZWa/amafM7MbzOzqcK/BHo/zPDO72cy+amafD441zOyvzOx6M/uamf1e5PZ/GjzuV81sR14/P4B6oJIGYBwcLenXJR0r6YuSfsvd/9TMLpW02cx2Svp7SVvcfZ+Z/bakP5f00h73e56kp7v7d8zs4ODYyyQtuvsTzewBkr5gZp+R9BhJp0s6wd1/amaHDPlnBFAzhDQA4+DT7n6/md0kqSHpquD4TZKmJT1a0mMlXdPez1kNtfcf7OULki42s49I+kRw7DclPc7Mnhtcn1J74+jfkPQBd/+pJLn7Dwf9oQDUGyENwDj4uSS5e8vM7vflTYtbaj8PmqRb3P3Efu7U3c82sxMkbZZ0o5kdF9zXH7r71dHbmtmpktgsGUBmjEkDAOlWSevN7ERJMrMDzOy/9/omMzva3b/k7udJukfSkZKulvS/ImPdHmVmD5L0GUkvNbMHBsfp7gTQFZU0AGPP3fcH3ZN/Z2ZTaj83vkPSLT2+9a/M7Bi1q2fXSvqqpK+p3YX6ZWv3ne6TdLq7XxVU2naZ2X5JV0p6fbich7tfMPQfDECl2XLVHwDQjZldLOmKvJbgCB7jZEmvdvfT8noMANVAdycAZLco6c15LmYr6d2S/l8e9w+gWqikAQAAlBCVNAAAgBIipAEAAJQQIQ0AAKCECGkAAAAl9P8BMQKRVrMFeq8AAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10, 7))\n", + "plt.plot(np.linspace(0, len(cx), len(cx)-5000+1)/(20.0), moving_average(cx, 5000), '.')\n", + "plt.plot(np.linspace(0, len(cx2), len(cx2)-5000+1)/(20.0), moving_average(cx2, 5000), '.')\n", + "plt.xlabel(\"Time [sec.]\")\n", + "plt.ylabel(\"Cross corr [normalized]\")" + ] + }, + { + "cell_type": "code", + "execution_count": 180, + "id": "backed-french", + "metadata": {}, + "outputs": [], + "source": [ + "cf, cp = periodogram(cx, fs=20, window=\"hamming\")\n", + "cf2, cp2 = periodogram(cx2, fs=20, window=\"hamming\")" + ] + }, + { + "cell_type": "code", + "execution_count": 194, + "id": "stopped-classroom", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0, 'Fequency [Hz]')" + ] + }, + "execution_count": 194, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10, 7))\n", + "plt.semilogy(cf, cp)\n", + "plt.semilogy(cf2, cp2)\n", + "\n", + "plt.xlim(0,0.3)\n", + "\n", + "plt.ylabel(\"$\\Re[\\mathcal{F}(C(t))]$\")\n", + "plt.xlabel(\"Fequency [Hz]\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "complete-firewall", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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 +} diff --git a/cookbook/skypatch.ipynb b/cookbook/skypatch.ipynb index f85cb144..d19368a2 100644 --- a/cookbook/skypatch.ipynb +++ b/cookbook/skypatch.ipynb @@ -56,7 +56,7 @@ " MPI build enabled\n", " MPI runtime enabled\n", ">\n", - "Running with 1 processes at 2021-09-27 09:23:57.482296\n" + "Running with 1 processes at 2022-02-21 11:02:37.967676\n" ] } ], @@ -1221,7 +1221,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.5" + "version": "3.9.7" } }, "nbformat": 4, diff --git a/cookbook/strip_focal_plane.yaml b/cookbook/strip_focal_plane.yaml new file mode 100644 index 00000000..a72643cc --- /dev/null +++ b/cookbook/strip_focal_plane.yaml @@ -0,0 +1,873 @@ +--- +# Associations between symmetric horns in the focal plane. If an entry in the database for +# horn X is missing, you can assume it is roughly the same as the entry for horn Y, if they +# are symmetric. +pairs: + V1: R5 + V2: R4 + V3: R3 + V0: R0 + V6: R6 + V5: R1 + V4: R2 + + B1: O5 + B2: O4 + B3: O3 + B0: O0 + B6: O6 + B5: O1 + B4: O2 + + G1: Y5 + G2: Y4 + G3: Y3 + G0: Y0 + G6: Y6 + G5: Y1 + G4: Y2 + +# The 49 STRIP Q-band horns +horns: + I0: + id: 0 + module_id: 0 + polarizer_id: 38 + polarimeter_id: 31 + color: indigo + fwhm_x_deg: 0.347 + fwhm_y_deg: 0.344 + ellipticity: 1.008 + directivity_dbi: 54.76 + xpd_db: 44.53 + sub_spillover: 0.013964 + main_spillover: 0.016704 + orientation: + - 0.00000000000 + - 0.00000000000 + - 1.00000000000 + + I1: + id: 1 + module_id: 1 + polarizer_id: 29 + polarimeter_id: 29 + color: "indigo" + fwhm_x_deg: 0.347 + fwhm_y_deg: 0.345 + ellipticity: 1.006 + directivity_dbi: 54.75 + xpd_db: 43.93 + sub_spillover: 0.013704 + main_spillover: 0.017151 + orientation: + - 0.107714423496e-01 + - 0.187581571402e-01 + - 0.999766026413 + + I2: + id: 2 + module_id: 2 + polarizer_id: 16 + polarimeter_id: 34 + color: "indigo" + fwhm_x_deg: 0.348 + fwhm_y_deg: 0.345 + ellipticity: 1.009 + directivity_dbi: 54.74 + xpd_db: 44.19 + sub_spillover: 0.01397 + main_spillover: 0.016905 + orientation: + - -0.108937121972e-01 + - 0.187585355944e-01 + - 0.999764694504 + + I3: + id: 3 + module_id: 3 + polarizer_id: 39 + polarimeter_id: 13 + color: "indigo" + fwhm_x_deg: 0.349 + fwhm_y_deg: 0.344 + ellipticity: 1.013 + directivity_dbi: 54.74 + xpd_db: 44.14 + sub_spillover: 0.014094 + main_spillover: 0.01677 + orientation: + - -0.217265422091e-01 + - -0.266073403730e-17 + - 0.999763950822 + + I4: + id: 4 + module_id: 4 + polarizer_id: 18 + polarimeter_id: 43 + color: "indigo" + fwhm_x_deg: 0.348 + fwhm_y_deg: 0.345 + ellipticity: 1.009 + directivity_dbi: 54.74 + xpd_db: 44.19 + sub_spillover: 0.01397 + main_spillover: 0.016905 + orientation: + - -0.108937106889e-01 + - -0.187585378222e-01 + - 0.999764694479 + + I5: + id: 5 + module_id: 5 + polarizer_id: 28 + polarimeter_id: 30 + color: "indigo" + fwhm_x_deg: 0.347 + fwhm_y_deg: 0.345 + ellipticity: 1.006 + directivity_dbi: 54.75 + xpd_db: 43.93 + sub_spillover: 0.013704 + main_spillover: 0.017151 + orientation: + - 0.107714352557e-01 + - -0.187601757427e-01 + - 0.999765988614 + + I6: + id: 6 + module_id: 6 + polarizer_id: 11 + polarimeter_id: 12 + color: "indigo" + fwhm_x_deg: 0.348 + fwhm_y_deg: 0.345 + ellipticity: 1.008 + directivity_dbi: 54.75 + xpd_db: 44.06 + sub_spillover: 0.013562 + main_spillover: 0.017287 + orientation: + - 0.216050636658e-01 + - 0.257638026339e-09 + - 0.999766583370 + + Y0: + id: 7 + module_id: 0 + polarizer_id: 30 + polarimeter_id: 8 + color: "yellow" + fwhm_x_deg: 0.348 + fwhm_y_deg: 0.345 + ellipticity: 1.009 + directivity_dbi: 54.73 + xpd_db: 41.47 + sub_spillover: 0.013383 + main_spillover: 0.017513 + orientation: + - 0.561943695607e-01 + - 0.327350599580e-01 + - 0.997883063630 + + Y1: + id: 8 + module_id: 1 + polarizer_id: 48 + polarimeter_id: 48 + color: "yellow" + fwhm_x_deg: 0.349 + fwhm_y_deg: 0.346 + ellipticity: 1.009 + directivity_dbi: 54.69 + xpd_db: 41.00 + sub_spillover: 0.01296 + main_spillover: 0.018043 + orientation: + - 0.667735863313e-01 + - 0.513960210619e-01 + - 0.996443544406 + + Y2: + id: 9 + module_id: 2 + polarizer_id: 8 + polarimeter_id: 67 + color: "yellow" + fwhm_x_deg: 0.348 + fwhm_y_deg: 0.346 + ellipticity: 1.004 + directivity_dbi: 54.71 + xpd_db: 41.45 + sub_spillover: 0.013402 + main_spillover: 0.017683 + orientation: + - 0.452199089767e-01 + - 0.515239215212e-01 + - 0.997647455439 + + Y3: + id: 10 + module_id: 3 + polarizer_id: 21 + polarimeter_id: 02 + color: "yellow" + fwhm_x_deg: 0.348 + fwhm_y_deg: 0.345 + ellipticity: 1.008 + directivity_dbi: 54.72 + xpd_db: 41.93 + sub_spillover: 0.013783 + main_spillover: 0.017615 + orientation: + - 0.347752645502e-01 + - 0.328520104835e-01 + - 0.998855057745 + + Y4: + id: 11 + module_id: 4 + polarizer_id: 3 + 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zJyAtd3dd!Ju9A==-)*<3Hi2eB$0fmU8qIbaeLt2ih!zwU@-Sy5S~2cgnO_>kG@m(! zZ&yCRbTx)aYQ52zDbwP0qIx%GR~NMuVLpQSJBz?)DVY>Lg*mqqeRQ@Va9OT92jb44fa>c8*iBNTn3Vm4!iZHTjz<^U_Yo^QMO5B~+7Qca zG@s4AX<$x^>B4SOk%NN#9_$G+@LZRu#Z%#yU6L*WYM-maBa;rP&A&ClI zbt-e9FS@Gt?k&+f$I<7L4H_F`y-^p>J*D)(In>)_Wfatziu#UH?(ImgMn4B#Rs2ID z&`{WhT~|L?qp^*D?oDNOq6y>4si3YWXfmncbcb>{npT>d-#F}pW(DaBFA5o>x#N;8 z3Ld^_!E}h_nJ_C_&c5vAxBnhm)nN_pd6I-FE!AA_H`!rYac%$0VTUlC8K_B~5|}=u z|I~K*63jSY9tDjNn7Mxz;&lfxo6=%#A%`I5@>loL@QlOj2AHbZ_DX=1@}EEdA6MXi E0ahj7*#H0l literal 0 HcmV?d00001 diff --git a/src/pycal/todmap/sim_tod.py b/src/pycal/todmap/sim_tod.py index a57b5906..5ff92929 100644 --- a/src/pycal/todmap/sim_tod.py +++ b/src/pycal/todmap/sim_tod.py @@ -734,7 +734,7 @@ class TODGround(TOD): ends. [degrees] start_with_elnod (bool) : Perform el-nod before the scan end_with_elnod (bool) : Perform el-nod after the scan - el_mod_step (float) : If non-zero, scanning elevation will be + (float) : If non-zero, scanning elevation will be stepped after each scan pair (upon returning to starting azimuth). [degrees] el_mod_rate (float) : If non-zero, observing elevation will be From 8f76c897fe76963d045cf473909ac132bec312af Mon Sep 17 00:00:00 2001 From: Stefano Mandelli Date: Thu, 17 Mar 2022 10:10:09 +0100 Subject: [PATCH 11/14] Changes to be committed: modified: CMakeLists.txt modified: cookbook/Simulation_STRIP.ipynb modified: singularity_container/Dockerfile --- CMakeLists.txt | 3 +- cookbook/Simulation_STRIP.ipynb | 466 +++++++++++++++++++++++++------ singularity_container/Dockerfile | 3 +- 3 files changed, 381 insertions(+), 91 deletions(-) diff --git a/CMakeLists.txt b/CMakeLists.txt index c098aad6..1a69198e 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -58,7 +58,7 @@ find_package(SuiteSparse REQUIRED) find_package(MPI REQUIRED) -find_package(PythonInterp REQUIRED) +find_package(Python REQUIRED COMPONENTS Interpreter Development) find_package(MPI4PY REQUIRED) @@ -67,3 +67,4 @@ enable_testing() # The directory that gather the whole source code. add_subdirectory(src) + diff --git a/cookbook/Simulation_STRIP.ipynb b/cookbook/Simulation_STRIP.ipynb index 8f342f61..0d49d735 100644 --- a/cookbook/Simulation_STRIP.ipynb +++ b/cookbook/Simulation_STRIP.ipynb @@ -14,7 +14,7 @@ }, { "cell_type": "code", - "execution_count": 149, + "execution_count": 1, "id": "dress-bosnia", "metadata": {}, "outputs": [], @@ -73,7 +73,7 @@ }, { "cell_type": "code", - "execution_count": 150, + "execution_count": 2, "id": "burning-anchor", "metadata": {}, "outputs": [], @@ -155,7 +155,7 @@ }, { "cell_type": "code", - "execution_count": 151, + "execution_count": 3, "id": "modern-holocaust", "metadata": {}, "outputs": [], @@ -163,8 +163,8 @@ "class args:\n", " # Required arguments\n", " ces_name = \"Test-scan\"\n", - " ces_start_time = \"2022,1,1,0,0,0\"\n", - " ces_stop_time = \"2022,1,1,3,0,0\"\n", + " ces_start_time = \"2022,7,1,0,0,0\"\n", + " ces_stop_time = \"2022,7,2,0,0,0\"\n", " sample_rate = 20\n", " el_mode_rate = 0.001\n", " el_mod_amplitude = 1.0\n", @@ -216,7 +216,7 @@ }, { "cell_type": "code", - "execution_count": 152, + "execution_count": 4, "id": "ranking-failing", "metadata": {}, "outputs": [], @@ -241,7 +241,7 @@ }, { "cell_type": "code", - "execution_count": 153, + "execution_count": 5, "id": "friendly-excerpt", "metadata": {}, "outputs": [ @@ -287,7 +287,7 @@ }, { "cell_type": "code", - "execution_count": 154, + "execution_count": 6, "id": "surprising-soundtrack", "metadata": {}, "outputs": [ @@ -295,7 +295,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Creating the outdir: out_directory2022,1,1,0,0,0\n" + "Creating the outdir: out_directory2022,7,1,0,0,0\n" ] } ], @@ -319,7 +319,7 @@ }, { "cell_type": "code", - "execution_count": 155, + "execution_count": 7, "id": "urban-beaver", "metadata": {}, "outputs": [], @@ -389,7 +389,7 @@ }, { "cell_type": "code", - "execution_count": 156, + "execution_count": 8, "id": "western-sweden", "metadata": {}, "outputs": [], @@ -424,7 +424,7 @@ }, { "cell_type": "code", - "execution_count": 157, + "execution_count": 9, "id": "false-roots", "metadata": {}, "outputs": [], @@ -474,7 +474,7 @@ }, { "cell_type": "code", - "execution_count": 158, + "execution_count": 10, "id": "composite-carnival", "metadata": {}, "outputs": [ @@ -483,7 +483,7 @@ "output_type": "stream", "text": [ "Creating atm_cache_/0/0/0\n", - "Creating the outpath: out_directory2022,1,1,0,0,0/43000000.0/043\n" + "Creating the outpath: out_directory2022,7,1,0,0,0/43000000.0/043\n" ] } ], @@ -529,7 +529,7 @@ " \"flag_name\": None,\n", " \"flag_mask\": 255,\n", " \"report_timing\": True,\n", - " \"wind_dist\": 10,\n", + " \"wind_dist\": 100,\n", " \"flush\": False,\n", " }\n", "\n", @@ -672,7 +672,7 @@ }, { "cell_type": "code", - "execution_count": 159, + "execution_count": 11, "id": "polished-candidate", "metadata": {}, "outputs": [], @@ -702,7 +702,7 @@ }, { "cell_type": "code", - "execution_count": 160, + "execution_count": 27, "id": "antique-toner", "metadata": {}, "outputs": [], @@ -713,7 +713,7 @@ }, { "cell_type": "code", - "execution_count": 161, + "execution_count": 28, "id": "usual-intent", "metadata": {}, "outputs": [], @@ -723,7 +723,7 @@ }, { "cell_type": "code", - "execution_count": 162, + "execution_count": 29, "id": "distant-hudson", "metadata": {}, "outputs": [], @@ -733,7 +733,7 @@ }, { "cell_type": "code", - "execution_count": 163, + "execution_count": 30, "id": "literary-cemetery", "metadata": {}, "outputs": [ @@ -748,7 +748,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -780,7 +780,7 @@ }, { "cell_type": "code", - "execution_count": 164, + "execution_count": 31, "id": "spiritual-irrigation", "metadata": {}, "outputs": [ @@ -790,7 +790,7 @@ "2" ] }, - "execution_count": 164, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -807,7 +807,7 @@ }, { "cell_type": "code", - "execution_count": 165, + "execution_count": 32, "id": "naked-turkish", "metadata": {}, "outputs": [], @@ -826,13 +826,13 @@ }, { "cell_type": "code", - "execution_count": 166, + "execution_count": 33, "id": "patient-insurance", "metadata": {}, "outputs": [], "source": [ - "from numba import njit\n", - "@njit\n", + "#from numba import njit\n", + "#@njit\n", "def make_a_map(output_map, signals):\n", "\n", " hits = np.zeros(len(output_map), dtype=np.int64)\n", @@ -846,14 +846,14 @@ }, { "cell_type": "code", - "execution_count": 167, + "execution_count": 34, "id": "apart-steering", "metadata": {}, "outputs": [], "source": [ - "from numba.typed import List\n", + "#from numba.typed import List\n", "\n", - "signals = List()\n", + "signals = list()\n", "for obs in data.obs:\n", " for ch in data.obs[0]['tod'].detectors:\n", " t = moving_average(obs[\"tod\"].cache.reference(\"atm_%s\" % ch), N_sample)\n", @@ -863,7 +863,7 @@ }, { "cell_type": "code", - "execution_count": 168, + "execution_count": 35, "id": "vocal-morgan", "metadata": {}, "outputs": [], @@ -876,13 +876,22 @@ }, { "cell_type": "code", - "execution_count": 169, + "execution_count": 21, "id": "backed-promotion", "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.0 180.0 -180.0 180.0\n", + "The interval between parallels is 30 deg -0.00'.\n", + "The interval between meridians is 30 deg -0.00'.\n" + ] + }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ "
" ] @@ -894,25 +903,28 @@ } ], "source": [ - "hp.mollview(h, title=\"hitmap\", nest=True)" + "hp.mollview(h/np.amax(h), title=\"hitmap\", nest=True, cmap='coolwarm')\n", + "hp.graticule()" ] }, { "cell_type": "code", - "execution_count": 170, + "execution_count": 36, "id": "personal-sense", "metadata": {}, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "0.0 180.0 -180.0 180.0\n" + "0.0 180.0 -180.0 180.0\n", + "The interval between parallels is 30 deg -0.00'.\n", + "The interval between meridians is 30 deg -0.00'.\n" ] }, { "data": { - "image/png": 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ctrZ3YWp1YYoUW4llWaxcuZKlS5fWi6m67+vXr6ddu3Z07NiJjh070KlTJzp06EDbtu1o2bIljuOwdu0aunfvwSuvvEKbNq3Zf/8DOOmkE3n77XdYt24dRUVF7L///pimic/nAzxvkKIorF69ms8//5wLL7yQu+++i/33P4ADDjiATz+dymGHHb7ZENPbb7/NkUceyaJFi5g4cSJ33nkn69evJy8vD03782cxy7JYs2YNXbp04d//vpVhwy6mU6dOW7WPIpEIaWlpzJs3j1133XWr9+39999HdnY2w4dfstWf+emnn9h1112JRCKkp6dv1Wd+/nkeEydO5JZbbmXJkiV06dJls54h0zSprKwkPz+fq666kiuuuJKsrCzmzJnDMcccs9nPzJw5k0MOOYQJEz5k5cpVXHXVVTz++GOceupptGjRAqB+zrpjPXXqVHbZZRd8Ph9XXnkFr732OhMmfIiUcMIJJ7Bo0SI6d+6MZVl8+umntGjRgvfee5fVq1eTlZXFl19+iRCC7OxsampqGDZsGBUVFXTt2pVzzz23Nrwc2Op9myJFCuAvVhemRFaKFNuJYRj88ssvzJ8/nxkzZrJkyRKWL19GcXExLVsW1Iuojh071oqqjrRu3bpetJSVlVFTU0PHjh35979v5eKLh+M4DmPGjOHhhx9m4cKFhMNh2rZt+6fzL1++nPLycgYOHMjgwScxatSDZGZm8v3333PUUUdt0f7vv5/DggULGDr0PJ566imOP/54WrduvcXPxeNxAFatWsUzzzzNww8/sg17zdvu884bynvvvY+u69v02e0RWeAtBjj11FN45513CYVCW/05KSXDhl3EnXfeRTgcxu/31wvbv2LFihXMnDmToUOH8sQTT3DIIYfQs2fPLX7uvffe4/DDD2fhwoU8+eQTvPDCOGbOnEnHjh03ex6sXLkSx3Ho2rUrF110IQ888ACFhUV88snH3HjjTSxbtowWLVqQmZkJeOJ4/vz5TJkymZYtW/LGG29iGAkcx6GwsJD27duTlZVFImHwr39dTtu2bTn44IPJzs7e6v2WIsU/jJTISpFie3Ech+XLlzN//vz6r7lzf2DdurW0bduO7t2713916dKFdu3a4ff7fzNGRUUFiqIQDAa57rrrGD16NFOnTmXNmtVcfPFwfvrpJzp37kxGRsZmbTAMA5/Px2WXXcaYMWOYO3cuxcXFDB48GMMw/jDn73FdFyEE559/Pvfffz+O47B+ffE250HddttI9tln360Scr+nsLCQNm3aEI/HNym3sPVsr8gC6uess2Fbee21V1m/fj3XXHPtNn1u1qxZ9OzZg9LSMp54YgyjR/8P13W3WNah7piOHz++dkFAW0aOHMljjz1GJOKtCt3cGJWVlaxbt44+ffrw4IMPsu+++9KvXz9GjPg3Dz/8COXl5fh8vj+cb8XFxdTUVPPRR5P49tvZ5OTk1Ncma9++PevXr+ff//43uq7TrVs3TjjhhFR5ihQpUiIrRYqtIxKJ8OOPP/L9998zd+5c5s+fz6JFi8jNzaVbt+706NGjXlB16tTpT4VNXe2o9evX8/777/Gvf13BqFGj6NWrJ8cddzyfffYZBxxwwGbDcHXEYjFmzZrF4YcfzkMPPUiLFvkMHTqUr7/+mgEDBmyVF6hOWEyePJnp07/gv/+9l2XLltGpU6dtSow2TZNzzz2HZ599jmAwuEXb/wzDMDj77LN47rnnycrK2ubPw46JLICioiKuu+5aXnnl1e0SB7Zts3HjRm666UZefPGlbVrhZ5om69ato3PnzvzrX5dz7rlDGTRoEKZpblWILpFI8PPPPzNw4EAeffRRMjMzueCCC/j444859NBDt+hhSyQSfPvttxxwwAG88sorxGJRLr54OKNGjeKiiy4iHA6jKMqf7pdEIsHcuXMZP/4lOnbsyIQJE6isrERRFCzL4uijj2b33XcH4MYbb9wmb2GKFH8DUiIrRYrfU1VVxQ8//MDcuXOZPn06CxYsoKioiO7du7PLLrvULpXvRdeuXbeYy7NmzRoKCwvZe++9GTr0XK655lq6dOnCl19O57jjjt8mu9544w26detGz549ufPOO7n33nuRUm6TKIhGo6SlpXH88cfzxBNPkJubi6Io25xvs3btWmbPns2pp57KsmXL6NKly3aVDli3bh2tWrVCCLFDno8dFVngefQsy6KsrGyrwqO/R0rJihUr6NKlCy+//DJHHHFE/YrFrSUajaJpGkuW/MKoUaN46aXx9cdsa6nbjpEjR3Dvvfcxa9YsamqqOfbY47bJlrfeeouTTjqJL7/8kg8//IDRo//H9OnT6dmz5xYT5GtqanjyySfJy8tj2rRP+emnn+pfq/N0RaNR7rjjDsLh8DbZlSLFTkRKZKX4ZxOJRPjuu+/47rvv+P7775k9ezYbN26kR48e9OnTh1126UOfPn3o0qXLFj1E8XiceDxOdnY25503lCeeeLI+nDhkyJCtCt1tOpaiKBQVFXH77bfz4osv8s0331BQUEDHjh23aRuj0SiBQIAZM77k/fff59FHR2+TLb8fy7IsTNNk2rRPOeuss7d5jE254YbrOf30Mxg4cOAOjdMQIgtgypTJzJnzPbfeeut2jyGl5IUXXuC0007DMAwyMjK2a1/XHaPzzhvKddddT8+ePZFSbvNYv/zyC7FYjN12241TTjmZZ555hlDIW226tWPV2fLUU09x2GGHEQwGueeeexgzZgxlZaWkp295Gw3D4NVXXyUSibBy5QomTZqEruvouk44HObqq6/Gtm0uvPDC+gT/FCl2clIiK8U/ByklS5cu5ZtvvmHy5Mn88MOPrFq1kp49e7Lrrruyyy592GWXXf5yxdjvicVivPfeewwZMoRnn30GXdc577zzmT9/Pj169NimBO5YLMaqVavo3bs3V1xxBWeffRaDBu1JSUnJdnlWLMuqtWco119/Pb169UYIsUN1ksaMeZzc3FzOPPOs7R4DvPBaNBolHA43SPHMhhJZ4J0nlZWVZGVl7bBtTzzxBJmZmQwZMmS7x7AsC1VVmTVrFm+//RajR/+v/thuK2vXrqVt27ZMmvQR33zzDXfddTfz5/9Mt27dt0m8GYbBihUr6NWrF48++iht2rTh1FNPZdy4cZx77rlbHTa2LIuPPprIokWLMAyT1157FU3T6lfUXnfd9QwaNJC99torVd8rxc5ISmSl+PtSXV3Nd999x9dff81nn33Gjz/+SCAQqK3/1J/ddtuN3r17b/XNpa6yem5uLo8//hg9evTg4IMP4ZFHHuG6667b7nDX5MmT6d+/PxUVFTz//PPcd999OI6z3TcVKSXLli1jxIh/88Ybb/6mpMP2MmrUKE444QS6d+/eIKLo888/Z/LkT7jvvvt3eCxoWJEFMHz4cC677LL6fKIdQUpZm8v3/Q7bZ5omuq5z7LHHMG7ci7Ro0WK7j0fdOXbZZZdyxx13Eo/HWb169W/qnG0L8XicsWOf5Oqrr+Gdd94hHo9z7rnnUlZWVt/fcWtIJBK8//77TJ06hUAgwNSpU/H7/QwcOIi1a9fwwgsvMGDAgFSboRQ7AymRleLvQ1lZGTNmzGD69OlMnz6dxYsX07t3b3bbbbd6UVVQULDN43711Sy6d+9BRUUFt902ktdee51Vq1bW9qfL2i5b161bx6xZszjjjDN44YUX2H///enatet2jbUpo0aNomvXrpx00klEIpHNrkrcWtauXUu7du2YPXs2vXr1apD8mbqb+/Z6Y/6MhhZZdbbtiNjdlLKyUtasWctuu+3GunXraNeu3Q6NV11dTTgc5vnnn8d1HYYNu3iHbZw3bx6LFi3ijDPO4MUXx3HssceRl5e3XWOVlZUSjydo06YNRx99NC+//DKGYbBhw3r6999jm8aSUlJYWMinn37Kiy+OIycnl59/nkc4HGbYsGHU1NQwYsSIzZaySJEiiaREVoqdlw0bNtQm5U7g229nU1hYxO67786gQYPYc89B9OnTd7tyYcBrOPzll18ybNjFPPnkkxx00EH19Yx2xJPz9NNPccghh5KZmcm0adM488wzt3usOgzD4Prrr+fBBx+kurqarKysBhEvtm1z9tln8cQTT273zfb3uK7LaaedymOPPb5dIdDN0dAiC2Dx4sXcd999jBs3rsHGXLlyJbfffjvjxo1rEI+gYRj1LZBuu20kjzzyaIOUTnj++ec588wz+eWXX1i8eNEO5d5JKRFCMGfOHBYu9OqvjR49mlNOOWW7hVFRURHffz+HFStW8OSTT+Lz+QiHw4RCIW644QYOO+ywBnloSZFiB0mJrBQ7D2VlZUybNo3PPvuMTz/9lJKSEgYMGMCgQYMYNGjP+ka924qUkurqajIzM7nwwgu4+eabyc7OYcGC+fWta3aEFStW8OqrrzBixEimT59Ojx49tsuj9nvmz5/PqlUrOe6445k1axZ77rnndpVQ+D3RaJSnnhrLVVf9H6qqNnjD4dLS0gYTbXU0hsiSUlJWVtbgtkopMQyDxx9/nKuuumqHQ7ngia25c+ey995789Zbb9G/f3+6dOmyw+OuXr2a4uJi9tprL26++WauueaaBmm9M2nSJA444ADmz5/PW2+9xUMPPURVVdV25+iZpsnrr7/GV199hWEYzJgxg1atWjFo0CDS0tIYM2bMdnudU6TYAVIiK0XzxTAMZs2axdSpU5k6dSq//PILAwcOZO+992HQoEH06tVrh0I53377Lf379+fTTz9l+vTp3HvvvRQVFVFQUNAg3oDHHnuMPffck759+/Ljjz+y99577/CYAAsWLKB9+/aUlJSwYsVyDj/8iAYZFzzvlRCCN998g1NPPa3Bwnng9TH86quvuOqqqxpszDoaQ2TVcffdd3H66afTvXuPBhuzLu/ojDPOwHGcBhHHdbz33nvsvffeqKpKdXV1g4gtKSVffvkl++23H5999hnFxUUMHXreDo/rOA4lJSW0atWKSy65hIsuuog+ffqwZMkSdtttt+0eNxaLsXjxYl5//TWmTZtW317qwAMP5MYbb6Rfv371le5TpGhEUiIrRfNBSlnb1mMKH3zwAXPn/kDXrl3Zb7992Xff/dhtt912+Kl/8eLFbNiwngMPPIjrrruO6667joKCAoQQDeKxKS4uZtSoUTz88MPMnz+f1q1bk5OTs8Pjwq81ru6//z6OOOLIBknK3pSNGzdy8cXDeOeddxtlJVdlZSVr1qyhX79+DT52Y4qsuXO/p0ePno2SaJ1IJDj11FN4/fU3trp/4tYyY8YM5s37iX/964ptrrX1V2zYsIGqqkq6du3Gv/51OQ88MGqHc//A+/+XUrJ8+XLGjx/PnXfeyeTJk+nRozsdO25d78vNYRgGo0Y9QHV1NT/++CMrVqzg4IMPITc3hxNPPJEhQ4Y0uMc2RQpSIitFsqmurmbq1KlMnDiRjz76iGAwyH777ce+++7HXnvt1SBPm1JK7rnnbq699jqWL1/GmjVrtrkw45Z4+eWXyc9vwaGHHsacOXMYNGhQg160I5EIgwefxMSJH213ntnmkFLyyy+/0LNnz0YJ5QF8+umn9O7du0HzsDalMUUWeCHfwsJC9t9//wYfu26fL1q0iJ49ezb4zb6qqorTTjuVjz6a1KCeSdd1+fbbb9lrr714++238fl8nHDCCQ02PsCbb77JHnvsQTgcZvz4l7j22usaZNxVq1ayYMECHn74YcrKykhPT8c0TZ544gmOO+641MrFFA3FZv+ZU02nUjQaS5Ys4eGHH+bQQw+lbdu2jB49mvbt2/P662/w2Wefc+edd3HkkUfusMCaPv0Lnn76KYQQ7LbbbjiOQ9++/RpMYMXjcW6++WZs22bQoIH067crqqqy5557NtiNcu7c7xk9ejTp6elMmDCxwQUWeH0DH3nkEVzXbRSBBd4qRdM0GmXspiASibBhw4ZGGTsvLw/TNLn//vupqKho8PEzMzP58MMJ6LrOPffcw5IlvzTIuIqisNdeewEwaNAg+vbtSywW4+abb65vIbWjnH766XTp0gVFUejTpw8ADz/8EN9/P2eHxu3YsRPHHnsc06Z9xg8//MiTT46loKCA0aNHk5WVRcuWLXn88ceZPHlyQ2xGihR/IOXJStFgmKbJ9OnT+eijj3j//fdJJBIcdNBBHHzwIeyzzz4N1s/McRwUReGUU07mqaeexnEcYrEYnTt3bpDx6/jqq1mUl5dz3HHH88knn3DIIYc0SPLypixYsIDs7GyCwSBr1qxh1113bdDxwctbmTBhAqeffnqjhkrWr1/fIIn+f0Vje7LqaOxtcV2X119/nVNPPbXBzymA2bNn069fP4qKigAaJF9rU+LxODNnzuTwww/njTfeoEePHjuUW/VnLF68mPz8fMrLy7n77rsZN25cg5XaAO8h8IsvPmfZsmW8++67tG/fnn79+tGnTx/uuuuuBs2fS/G3J+XJStE4RKNR3n33Xc455xxatGjBDTfciKIoPPbY48ycOYt77vkvhx122A4LrEQiAcBHH03kjjtuRwjBY489Tl5eHgUFBQ0qsF5++WWi0Wjt2K0AOOqooxr0ZmhZFgBz5nzHihUryM7ObhSBBV6Se3FxMa7rNsr44N10hw27iFgs1mhzNBVlZaVccsnwBvPS/BmWZbF+feMdkz333JNgMMjSpUv56acf6+dsKILBIIcffjgArVu3Jjc3l7KyUt59950Gm6Nnz57k5OTQuXNn/vvf/wJw9dVX89VXs3BdF8PYMY9p9+7dGT78Eh54YBSLF//Co4+OpqKikieeeIL8/HxatWrN448/Xn/tSZFie0h5slJsMxUVFUycOJHx48fz1Vdfs9tuu3LEEUdy2GGHNciy7zrqSi6Ew2GOO+5Ynn76GXJycrapF9vWUl1dzaJFi9hzzz157rnnOO644xp0WzZFSsmpp57Ko48+usPFKv+Kqqoq7rvvPu68884GzdHZHK7rNshqzb+iqTxZTbEt4D2k3HXXXdx+++3b3Lx7W5g//2ceeeQRnnvu+UabY9WqVcyaNYshQ4Ywa9Ysdt999wbzXtcRi8VQVZWlS5dy773/5ZVXXt2hkhCbo7CwkEsuGU4wGGLhwgWEQiFuv/12hgwZsk1V7VP8Y0h5slLsGBs3bmTs2LEcccQRtGvXnpdeeokjjjiC6dOn8+KLLzFkyJAGEyUVFRW4rsuUKVO4//77EELwzjvv0qZNG4LBYIMKrPLycqqqqigvL2fq1KkAXHTRRY0isGpqanjhhRcAeOaZZxpVYAFkZGRwyCGHNLrAmj9/PjfffFOTiJKmQgjB5Zdfxtq1axt1nlAoxKGHHtooOXib0qdPX0aNehDHcXjmmad32Av0Z3Ts2JEhQ4YgpWTChAnE43HKykqpqalpsDlCoRB+v58+ffrUC8abbrqROXPmYJpmg83Vpk0bJk78iLfeeotXXnmVo446mvfee4+8vDz69OnD448/zrx58xpkrhR/b1KerBSbpbKykvfee4/XX3+dr7/+mgMPPJCjjjqaAw44oMGfUKWUVFRUkJOTw5AhZ/Of//yHLl26oihKo+QR1bVTuffe/9K//x4ceeSRDT7HpkQiEXw+H8899xwXX3xxo+Z7mKbJ8OHDefjhhxusrMRfYRgGq1evpnv37o0+V1N5ssDLCeratWuT5OasW7eOu+66i7FjxzZq3lw8Huell17i4osvJhaLNXg5id/zxhtvUFZWxuWXX96g7ZU2pS7k+v333/PCC8/zxBNPUl5e3ijn/vLly5k3bx7PPfcsv/zyCwcddDC9evXkuuuua/Cc0BQ7FakSDim2jkgkwoQJE3juueeZPfsb9tlnH4499jgOPvjgBhdWdfPpus7PP//Ms88+w9ixTzV6qMY0TY4//jjefvsd0tPTG71uznfffcdzzz3L2LFPNeo88GuYa+HChfTu3bvR51u5ciWlpaUMHDiw0eeCphVZQINW7v8rpJQsXryYXr16NUmoUkrJ2WefxV133d3obWmklKxfv57hwy/mww8nNOr/W92+O+OM0/nvf++lVatWKIrSKKHY6uoqPvvsc0aOHIGUkj32GEB6ejrvvfcuwWCwwedL0axJhQtTbB7Lsvjwww8544wzaNWqFU899RRHHXUkM2bM5IknnuTYY49tcIEVjUYBuPnmm5k7dy577LEHTzzxJECj3WC+/34ODzzwAD6fjzfffIuMjIxGveDPmzeP6dOnM2DAAB555NFGm2dThg+/mEWLFjWJwAIvjLx69eommSsZrFrlicjGRghBr169+Prrr7n++uubZL7nn3+Brl278sknn7BkyZJGnatVq1a8/PIrCCG47bbb+OWXhikv8Xvqrh2vvvoaXbp04csvv+Tuu+8Cfr3mNBThcCYnnXQSP/88n5kzZ9GxY0e+/XY2BQUFtGvXjlGjRjXq4okUOwcpT9Y/FCklP/zwAy+++CKvvfYaHTp04MQTT+TII49qtBCTlBLbtikpKeHSSy/lww8/xHXdRqk6vilTp06ha9du5OTksH79enr0aLi2KX9GXcuaefPmUV5ezqGHHtqo84EnlDVNqy890BRVrQ3DwOfzNWkF7ab2ZIHnHbEsq9HzpsArT1JaWkqLFi2QUjb6/wbABx98QO/evenYsSOapjX68fzpp5/o2bMnS5cupbq6in322bdR53McByklRx11JO+88y6hUKhR8xRLS0u5+OKLSSQSlJRsIDc3lw8++KC+/leKvyWb/adJFQL5h1FcXMzLL7/Ms88+SywW46STBvP662/QoUOHRptTSokQgkceeZiWLQsYMmQIb7/9NkKIRr2JrFq1ko4dOxGNxojFYnTq1KlJ+pg9+OAounfvzsknn9Loc9Xx6KOP0qlTJ0499dQmm/Opp54iIyODCy64oMnmTAYPP/wwBQUFnHPOOY0+l6qqtGzZkqeeegpd17nwwgsbfc4TTzwRgGeffQbXdRtdwNaVKkkkEkSjUaSUrF69aodb6myOumvMRx9Nwu/389hjj5GRkc75519Qf21qSPLy8njvvfdq5/yI8eNf4rDDDqeqqpKTTz6FRx99hBYtWjTonCmaLylP1j8A0zT54IMPeP755/nqq6844ogjOfnkkxkwYECj534YhsHgwSfx9tvv4DgOaWlpTZJvYlkWZ599Ns8//zzhcLhR56tjzpw59cnfaWlpTeKFAO/41nmVmsLbUkdTenjqSIYnK5FI4Pf7m9RjF4lE0DQNRVEapVjpn2GaJqZpEo1G2bhxY5N5XoqLi7nhhusZP/5lgEbfz7Ztk0gkSCQSXHTRhbz33vuNfk1yHIeRI0dQU1PDZ599hs/n4+WXX+aYY45JFT39e5DKyfonsnTpUoYPH07r1q156KGHOOyww5k16yvuu+8+Bg0a1KgXli+++Jz//e9/+P1+nnvueUKhEBkZGY1+Mfvxxx+56qqr8Pl8vPXWW00msABmzpzJqlWrCIfDTSawvvzyS2699RYyMjKaVOxMmjSJOXPmNOmcySIQCDB9+hdMn/5Fk82Znp5OIBDgsssu5eefm6ZUgM/nIz09neXLl/HNN980yZwArVq1Yvz4lxFCcP7557NixYpGnU/TNNLT08nLy2Ps2KdQFIV77rlnh1v4/BWqqvLf/97LY489zoQJExk8+GTuuOMO/H4/J500mOnTv2y0uVMkl5Qn62+GYRi8++67PPPMM8ybN4+TTz6Z008/g06dGscV/3sefvghzjzzLHw+H7FYjPbt2zfJvLNmzSIQ8LPrrrtRWlra6KvBNuWWW25h+PDhTbaP66hrL1RZWUl2dnaTzv3111+TnZ1Nz549m3TeZHiyAH744Yf63phNSUVFBdnZ2Q3aTmZrmTdvHhMnTuTWW29tsjmLiopo1aoVM2bMID09nf79+zfJvMuWLaNly5YUFhYyc+YMhg27uEnmHTfuBVavXs2bb76J3+/nhRde4Pjjj2+S4sEpGpSUJ+vvzrJly7juuuto1ao1Y8aMYfDgk5kxYyY33XRzo9/8S0tLefPNNwHYbbfd8fv95OXlNYnAKi4uRkqJ67q4rkTTtCYTWJFIBIDTTjuVNm3aNMmcddTU1HDSSSdiGEaTC6zS0lIGDBjQ5AIrmey+++706tWL8vLyJp03OzubyspKBg8ejGmaTTp3165dOe44r8l63bne2LRu3RohBFJ6ta8sy6KkpKTR5+3atSsZGRlkZmbSs2cvwGuvVV1d3ajznn/+BfznP7czbdpnDB06lHvvvRefz8cZZ5z5t161+08iJbJ2YlzX5eOPP+aggw5i0KA9iUQivP3227z44kscc8wxjZ7LsW7dOtauXYvP56OsrAyAQw45pEnbTtxyyy0sXbqU/fffv8lqNYGX93XBBeezatUq+vffo8nyZurmzsjI4PnnX2jUViybY9y4cXz44QdNPm+yGT9+fH1Cc1OSlZXFc889h8/nYysjDw1CKBSiX79+/PTTT1x99f812bwABx54EP379+enn37innvubrJ5W7VqxX777YfrupSVleH3+1m+fHmjC72CggKuvvoaXn/9De677z5CoRDdunUjPz+fl19+uUmPe4qGJSWydkIqKyt59NFH6dy5M1dccQXLli1jxowZCKEwZcpkAA466ECKioqYM2cOZ599NgC33347r776KgADBw6gurqa6dOnc/HFwwC48cYbeP/99wHo1asXjuMwadKk+gvsv/51OVOnTmXDhvXsums/Pv/8c55++inuv/8+LrvsMs477zy+/voryspK2WefvQF48cVx3HPPPYDn8fnpp59YvXo1hx9+GABPPDGGRx99FIBjjz2GpUuXsnDhQk46yVvxNGrUKJ555unfbNOXX37JoEEDMQyDDh06MGfOnB3epkQiwa679gPgrbfe4t//9kIkf7ZNt902krvvvpvx41/mhhuub5Bt2pbjdPjhhzFq1AO0aNGiwbZpW47T559/Rt++/Rp0m7b2ONm2zSOPPNLg27Q1x+noo49m1113bfBt2prjdOKJJzBp0iTOO29og/8/bek4VVZW1jdkPv/88xr8/+mvjtOAAQPo3r07DzzwAFdeeSXHHHN0g/8//dlx+uSTT1i5cgV+v59rrrmaZ555mng8Tr9+fRv93Dv11NPw+/2cf/75nHLKKVxwwQWoqsq//z2iyTyKKRqOVE7WTsTixYsZPXo0r7/+Ovvttx9Dhw5lt912x3EcdF2vL3ynqmp93aS6UJqmaVt83bZtFEVBUZQ/fd2yLIQQnHTSiTz11NO0adOmNkz3288LIbBt+w82ben1ujmBP309EomwatUqevXqxVdffVX/xLkj2/RnNv3VNnkXu1u58sqraN269Q5v0/YcpzVr1pCf34JAINgg27Qtx+mDD94nIyPMYYcd1qDbtLXH6YEHHiAzM5PLLrusSc+9utcnTJiAruscffTRDbZNW3ucDMMgGo2Sl5fXoNu0tcdp7dq1vPjii4wcOXKL29zQ557rusyZ8x0DBgz8TTeDpjz3li1bxsiRI3njjTfqa281xbmXSCQYO3YsS5b8wmeffcZuu+3G66+/TpcuXbZwx0jRhKTa6uysSCmZMWMGt99+B/Pm/cRZZ53NWWed1SgNjP+KefPm8dRTTzFmzBhs207KsuMFCxbwxhuvc+eddzX53FJKRo8ezbnnntuk4dBN+fHHH5k4cQIjRoxMyvzgHYNAIJC0C3yyEt/rWLhwIT6fr9Fb0fwVN910I8OHX5K0Y1BYWMiECRO49NJLm3xuKSXXXnsN11xzbZMtqtmUugetoUPP5a677qZjx45NOv+kSZOYPv0LpkyZgm3bvPTSS01aGy/FZkmJrJ0N27Z59913efDBB9m4cSMXXXQRgwef3OQ5OB99NJHc3DwGDBhASUkJrVu3btL5Ad577102btyYtBvrpnYcccSRpKWlJWX+eDzOihUr2GWXXZIyf0lJCcFgkIyMjKTMD8kXWeCt+HNdN2li+6effqJXr15Nmge4KeXl5Xz99Vcce+xxSZm/jgceeIA99tijSToq/J5169bRpk0bpk2bhq5rHHjgQU06/9q1a7n33v+yYMECIpEIV111Fbfffnujl8hJsVlSqwt3FqLRKP/73//o1q0bo0aN4sILL2LKlKmcddbZTSawpJR89dUsXNclL68F2dnZaJrW5AJr6dKlVFRUsP/+B3DKKU1XPX1TpJRceuklrFy5ksGDT06KwJJS8tBDD1JdXZ00gQXw6aef1q8i/SczbtwLfPPN10mbf9ddd6WoqIgxYx5Pyvw5OTkce+xxzJs3jxtvvCEpNgCcc845DBw4kOLiYtauXdukc7dt2xYhBC1atCAnJwfTNJk9e3aTzd+uXTueeOJJpk37jN13788bb7xB69atOfTQQ0kkEk1mR4otkyo120yoqqpizJgxPPzwwwwYMJBRox5k9913b3I74vE4fr+fd955l65du7Hnnns2uQ11fPTRRwwcOJB9923c3mabwzAM/H4/1157XaO2HdoaunTpSlZWVlJtqEsk/qdzzTXXJtsEcnNzG60NzdbSu3dvLrnkUqSUmKbZ5IVp6x76Zs2aRXFxcZO0IPo9dS2CVq1aycSJE9hzzz2Jx+MEg8EmmV/TNJ599lmklIwZ8zhvv/02HTp0oH379rz11ltNHs5M8UdS4cIkU1payujRoxkzZgwHHnggl156WdLyPZYsWcJ//nMbr732elLmh19zLq666v+avLjn7xk+fDiXXnppkxVE/DNWr17NmjVr2H///ZNmA8Ds2bNZtGgh55+f3D6FzSFcCDB69GiOOOIIevXqlVQ7Jk+eTP/+/ZPaC2/atGlMnTqV++67L2k2gBdGfeedt5OSs1mH67qccMLxPPvsc01aEHlTfvzxB84//3x0Xefww49gxIh/07dv36TY8g8ilZPV3CguLmbkyJG8/fbbHH300QwffklSEjkBpk6dQjQa46STTiIWixEKhZJiR11D5/nz59OzZ8+k9fQqLS0lMzOTeDzepG15/owff/yR5cuXccopyU1uLSoqoqSkpMkrnv+e5iKyvv32Wzp37kxeXl5S7XjppZfYa6896d69R9JskFLW91o0DCNpHlfDMFi5ciU9evRo1IbTW6LuGvryyy/TpUtn9t57n6TYsWzZMs4//zzKy8u56KKLOOaYYznuuGOTYss/gFROVnOhpKSEa6+9ll69emHbNhMmTOTuu+9JisCaO3cuiUSCjh070bu390SeLIFlWRY33XQT5eXl9OnTJ6lNU//3v/8xffr0pAushQsX0q9fv6QLLMMwAJIusJoTgwYNIhqNJr1I5NChQ+nUqTOLFy9Omg1CCDIyMpgwYQLjxo1Lmh1+v5+ePXuybt06/vOf/yTt2NRdQ/v27Uu7du2prKxkwYIFTW5H165dmTlzFp98Mpn58xdw/PHHcfnll9cXjk7RNKREVhNRXl7OrbfeSo8ePSgtLeXjjz9h5MjbkrJar64Gy8SJE1i1ahXdunVL2pNwTU0No0aNQgjB66+/QV52JgC29ERWxE2n9ZJpv/lMtRPm5W/a1f+eX/brDSb9mdsBCL/ghQxalP/yhznLLK8Njc+JezZcfj4As7ofTklJCfdkxDjssMPIeeshAFov/2Kz9i/qcXT9z1XDzwWgYP2Pv5ln2oo/PlHf94Yn4G5/4c8XM9SVjFi/fv1m524qVqxYwd13Jy8E01wZMeLfFBUVJdsMVq5cwTPPPJNsMzjttNO46qqrWLt2LVVVVUmzo127dowb9yKGYfDAA/fXPyQ0Nbvuuitt27Zl+fJlTJ78CfDrtbcpad++PS+88AKTJn1MWVkZLVq04IQTTmj0lkEpPFLhwkamurqaRx55pD6H41//uiIpwqqOaDTK6aefxjvvvJuUlizgiQ+JADtOpi/Ga29N4JiTzqattp51sj1Ry09eoJqwqEJ1LVyhkmZU4I+WEctoiW7GCJauAtfBzsxH37CaaKfdSPgyyCxfiZGWiz9SCkA8XIA/UYVeuR4zuxWJYDauouOzovgjpUQzW5NRshQnkMG4N9/H2bieS886gcovZuLLTMOqieFaNlrQjy8rA6O8Ctd28WV6qwyrVhSTs0sn1LQQieIS0vv1QYYyIFIFOS1xfX5qcjuxUWvDiqo8InEV14Uf5seIR00Mw/aOS1UMf8jHf86LI6UkkUg0WfLszkRzCRc2R5IZ6t+UMWMep0uXrhx11FFJtcMwDCZMmMApp5yCZVlJK3lRR0VFBUOHnsu7776X1AbQkyZNYtq0T5kyZQq9evXiyy+/TFpZmr8RqZyspiaRSDBmzBjuv/9+9ttvP6644sqkrlArKipi9uzZDB48mI0bNzZ5ouy6eAGK8Kqz+1SbSMkSrrziMp5+9TN0TaIrDoaj08JXRrpZjm7FiQWyyVv3I8Ud9qTV8i+xwy1QzRjCtnF9flzdE4lWIEwk1ALVtQjGK/DFKkAI4hktyVjyDU5LLxRrpnmeJdOXDoDiOlQFWxKrKmPDwu/Zt20GKCpKZSmyupLE2kLMqgha0I9r2fhb5KDXCmQRqBVAUmIsW4qv1y6gqggjgYxGcCM1KJlZuK064Gp+rIDnufqOvQCImRpTvqimS7dMFs4vw7W9J1zLtClc9iXByMs8/nhyluhvim3bjBgxgjvvvDPpNyloXiKrpqaGBx98kDvuuCPZpgAwZMjZjBx5W7Np3D1nzhz69OmTtIe5OkzTZPDgk3jllVeTvkK37tr7+uuvc/jhh5Gbm7ycvldeeYV33nmboqIievbsyZQpU1IPdtvPZkVWqoRDA+O6Lq+99hr//ve/6dq1Gy+9NJ5u3bolzR7btonH46iqSnW158JvKoG1uKodipD4NYcsfwyBpKTGx7zFP3Honp15eOy7BHWHlsILufjcGCTAn6gEIKd6PU4wnZZFPyB9AdREDa4/DTfowwxmAaCZUYKlqwmyGkyvPoywLZASny+I1cZbqWn703AVHUsP4jMiqI6BVFS0gEXxz9/w2ZczGXjFxUihQDifQPEyArn5BM0E0R/neQKrZUuQLiKYhpNTgLBNhGWg77HXr08hQoFoBKVTd5AuSiKKmZeLwEW4DgO071gX7E61HuKEw9MoqxEkumaz+OcNSClRdZV2PQ7CNgc1yTHaEo7jsP/++zcLgdXcSE9PZ4899sB13WZRBPKZZ55tFp6sOj755GPC4YykJuUD+Hy+eoE1d+737Lbb7kk7Xi1atEBKSWVlJbruo7q6mvT09KTYM2TIEIYMGcKkSZO49dZb6N27NxdddBG33HILqqo2uT1/V1KerAbks88+46qrrkLTNG666WYGDUr+jfLZZ5/Fsiwuu+yyRp1nXlkHMgIWlqOQH4oQd3RyfdVsNLII6zEcqWK5KtGi7xg75jH+d/dt+M0IirRxNO9J11+zEeFYCOlihPPxRcqwar1PiUAW4ZKlOMEwarwa1xdEMePYoUziaXlIoaJbMU88CYVA6RqqW/cmrbKw3kY74HmwVNtEq1xPNLstk2d8w1GHHYI/WobjC6IaMaJZbQjEK7B174bli1cCoEUqkKqKsC3cYAZSKNjBDFTLANdBNaKewDMToOlIXwDhODjBdNQaL9nUzG2LXlNKPLcDUiiUB1uzJuq1SFpf6ee1J64jLvcir81AVN17Brp7uNWox+6vKC0tJTc3FyE2+6DWpDQnTxZ4D1UVFeVJ9Uhsyueff878+fO58sork20K4OUWTpkyhSOOOCLp55DjOFx99dWMHDmS/Pz8pNpSx3//+1969erF4MGDk20KM2bMYNiwi2jXrh333Xc/Z5xxerJN2plIrS5sTBYsWMAxxxzD+edfwPDhl/D22+8kXWC99NJLLFmyhPPOO69Re4zNWNOJHzZ6AktVXHplrAK8E6vCDKMIlyylgtK1P/Pe2JvZpXU2T912Lek1xbiaD1doBKo3EKjegHAspKpjZng3rERmK6RQ0BIRMspWIhW1XmDFwq2w07JJhHIJRTbiM2pQXAvD74Xl4nkd0c0YZigbO5iBq/vx1ZTiL1mNVrke6QtQXbyWGZ99hn/DSiJZ7bD1EEa6N7ejBdDNKEK6OHoA4To4odrVhoonfqSq4S9bh7BNpKohNR9S0zFadgIhkNqv3h83FMYOt8BXuQGA0IZlnp1ukHahEloEq8nPNDno2AvoOWA/Bu3fAcu0cCx7s8nxTcH111/PokWLkjZ/c2fWrFncc89/k21GPX379uXEE09Mthn1mKbJzJkziEQiyTYFVVV57LHHaNGiBaNGjWoWi0puuukmjj/+eObO/Z733nsvqbbsv//+zJ+/gMsvv5zzzz+P/Px8li1bllSb/g6kRNYOUFFRwVVXXcXBBx9M//57MHnyZI499tikPrGVl5cDXtuHUCiEruuNYs/cko5MX92JgmyLfi3W0SmtCNcVrE60xXC8pM6AZtJZXYHfrKZ9pkLPLp3wGRF0o8YTTHYC1TGwQpnYgXSMjHzP2yQlQrr44lX4ImW4egBX85PIak0s18tr06w4ruK5tC1fGrYexFV0dCuOFCqmv9Zr5RjokXJU01tJ6GTmYYdbMHHql2QHNB655iJUVfG8YLYXbtRsbzWScB0U10IzokhVRzGioKhgxFBqKtCqSgBQbOPX8f1eAqmZ3QoAqWlQ5y2utVe4ElyHYGUhncu8Vhw+GWP62/fRv29bLjohwMBuCfY/pBNtu+Sj6Sp3vJicXIkXXngh6QU3mzP77bcfDz/8cLLNqCcvL4/c3FzGjx+f9PIS4JVVuOuuuxFC8PnnnyfbHMArOdGrV0+ysrKSvo9UVUXTNMLhTAoKWiKlrL+GJwNd1zn55FP45JPJHHPMMQwYMIAOHTokdbXozk5KZG0HjuMwduxYunXrRllZGR99NIkLLrgg6XkrUkqGDbuIwsJCDjnkENq2bdtgY09d1okl1W2ZX9EeB5XueaXs0W4jLYIRSowcBC7dgqvo7FtJW30dPeyfaO2sYv68n7jo/24kN+TnuEMOwNH8SEVFOL+GCW09hK2H8MUq0IyoF85LRMB1POGlBbCCmSiOiWonqM7piOULYfrDKNJBqhq6FUW4DnqiGtVOEIqUoFkxpKIiVR2ki1RUFDMOZpzPl6yjwgInFMYJphMsX4NmRPHFKurztRzdj3AdXM2HVFTs2tClm+F9F0YCEYsghYKwEgjbRHEs9GgFim3i6gGstGwcf8h7zUpgZeZjhfNwMnI98SUErSoXoUWKidZU0i69EhdBlj9C344JMjJ0Ctpk4lgON/6vaW8IU6dO4Ztvvkl6mKc5I4Rg2rRpzJo1K9mm1KPrOmVlZVhW8sLMv6e8vJzvvvs22WbUc9xxx+P3+xk69FxWr16dbHPo2rUre++9D4sXL+aaa65Jtjm0bduWkSNvY+zYpxBC0KNHD4YMOQfTNJNt2k5HKidrG/nyyy+56qqr8Pl8jBx5G7179062SdTU1PDMM0/zf/93Na7rNujy4K8LvRpPrbMT1Bg67cOVVBiet8aneuUHOmhrkELBUIKk2VX4jRoMPY2SkhJy81tStnoZXXJCOJoPR/c8MnVeIz1WhasHkIrqJYrbpheyq/VmSaHgqJ54tTU/Piv2m88DSBQ0O4GsFQNSKCiut1pPsbz3uZoP1Ygy+5dVtM5Mo23rVvWvOcEwwvFuSMKxcH0hhGNhpOWi2gnPNsBVfQQqizwPV7QKNz0LYXgeLBwHGUyrf6+Q3krKupwyvaYUOy0b4dhIzYerauiRclw9QE0sTokvl9bZGVQF8hFIYm6I0kQYXXGY9LWGqgrWF1YjFMHNZzRNfZvZs2eTlhaiT5/m05KjueVkAXz33Xf4/X769euXbFN+Q2FhIS1atEj6w9+mrFixAtM0m80KyHXr1tGmTRtKSkpo2bJlss0BvMLMruvy2GOPceWVVzZ5T8g/Y+7c7znrrLPo3LlzbZeBvZJtUnMjlZO1o5SUlHDuuedy5plncuGFF/Lqq681C4EVj8cJhUK0atWqwQTW4qp2LK5qx3frO7JH6yK651fiU21yQ3Hitp/WwVLyAtUU+Esp8JeiOwl8doyQXY2t+LD0IL/88C03/+cuQnaUDgW5OJoPxXXwxavQE9W4QkO4DlbQy3NKBLOxAmFi4VYI18HwZ2D4w7iKhmbFkUIQiFei2KbnJVJ9SBRMXzoCF0fzeeLH8kJ3arwaNV7teZlcB9WM42p+fvplOcvWFXueKn8ajj8NxUogXAep6ri+ENR6r+rCmlKo6LEqNDOKmZGHsAxkIB2lqgyEAFUHTUOYCRTr1yc9kYjiKy9CrykFoaCacRTbQK9cjxavIZHZClf3M31JEY899jiqa5EbWUOaVUULp5gWgSoy9Dgn7x9n390EpxybSTxiMG5mW8bNbDgv5Z/hOA577LFHsxJYzZWBAwfSs2fPpIeefs9DDz2YlErjf8XixYtZtmxpss2op87bf/XV/8eaNWuSbI2HrutIKWnbti0+n494PJ5sk+jffw8WLVrMsGHD2H///enRo0dSw5o7EylP1hZwXZdnn32WW265hZNPPpkrr7yq2RRuW7lyJTfeeANvvvlWg4R0pi7rRIssF0VAx6wKAFZVZtMhq5JKI0TXwCoAHKFh4j1dZVqlGFoIV6ikJ8owLYs5P/zI/v374TgOAdvzPCHlb1b3Adh68FfPj2PjaN6YdZ4rn1FTn1vlM6NIoWDpIRTXxmdU46o+NDNab79qROtFklQ1hGN73jBFJZowWbBgIXv1856gXc0PQiAcG9fnedeEbSKki+1Pq8/DcnQ/UiiotV4vWw8RLF/nvT8RQSoawraQdd4CVQfXQVgGbijDe58rkUqtl03zQW14UWo+pJSY4Za4QkEIgSvU2n2gsxKv9IciXKQUmK7GtO89Ee04kgsO+HXlZEMzd+5cRo8ezYsvvthoc2wPzdGTBXDiiSfw6KOjk97UfFOklAgh6r83J2bPnk3//v2TWpRzUxzHQVVVZs2axV577dVsShjYts1JJ53IuHEvJr1PZh0LFizghRde4PPPP6NPnz7MmDGj2Z1fSSDlydoefv75Z/bbbz+efHIsL700nptvvqVZCKzi4mI+//xzOnXqxLhxLzbICT5nQ0daZLnkpBlkBk1sqVJthuiXu5oaM0ib4EYqyKWSHEz8ZFqlZDgV9QIrI1GKo+psKCrknUlT0eJV+LCx/Wk4egCEwBetqBdYwjZJBDJxFB1b9YEQOKoPR/WhOQa6FSNRWwtr07Ch6phoVhwhXc/DVZvfVfcFnthSLAMhXa8khOuwctlS3p/xHa4vVF/EVKo6diDdE1e2idR82P40VNv0vFqq521ztABmMAtX1VFcCzOzBRgxr6YWeKIqEUeYJsKIeaFD3Y+wTIRleonysRoAFLM2qd5xcH0hbn36DSZNnoJuxXBq63glfBkorkNn+QsxS8dyvQt+60AJrVrqRCMWQmnci1r//v15+umnG3WOvxNvvvlWsxJY4OWLvfHGG4wdOzbZpvwGKSUTJnzYLFoS1aGqKo7j8N5771JRUZFsc+rRNI033niTvLw8Pvnkk2bhPdpll1148MEHufTSS1mwYCH77rsvn3zySbLNarakRNafEI/HufnmmznooIM45phjePPNN5tNDgFAJBJh5cqVADsk+r4p6sR36ztSbLSgRYZB28waAqpNhi+BlBDSDTTXJKgZhNwaMkUl2bIUiSChp6PZBumJMjKjxcTL1vP8M8/QuWU2j464DqFqKI6NL1JWL4TsQDrxUA6RjAIcfwjVMTH0NBzVh60FcBQNR9GwVT+25kdIiW4n8BvVCNchECsjWLMBxbVQLAPFjKPUlk8AcH1BL0So+RCujRqPIGyTuQt+oW+3Ttxz3eVQm6slNR9IF1fRcXU/ru7H8qV5YUhFxQhle7ldloFqJ9DMKI4W8N6v6shgmifirNq+aI4DjgW2jXBtRCKGSMSgqhyRiCOjEZSKUlzdh1q1EfDyv6479QgO6tsVLREhrXw1EoHmWkT9XvufvurPmI5Gjq8SR6pkpUvOONSkd5fGrSP82muvYtt2o87xdyIWi/Huu+8k24w/cOihh3LOOeck24zfIITg7rvvoV27dsyf/3OyzalHVVUefPAhsrKyePbZZ5LW8/D31F3jly5dSiKR2MK7m46LLx7ON998Q9++fTn66KO54oorUonxf0JKZP2Or776it12242ff/6ZSZM+5qyzzm4W1ZwBJk+ezMMPP0S3bt248MILt3ucmWu92la7tCwlL8OkIhYkxx/BlQqqcFCQCAFpahxV2hSo60moaVjCR1xNJ9tcT8ioRAqBaifQjQioGjbeU6ovVuEllbsOdjDsiRPdTzyUi6Gno7gOiUA2jupDdxJe+FEPoUiXYKISxbXRrTg+M4JqJ3C0AIpr4dZ6nqSiojgWim2gWAm0eDVatBLhOl6OlOt4qwJ9fkyh8d9nX6O8OlKf6A5AbWI6UL/KUa+ttQXgj/36NKslvBo/vkQ1/qhXVFSJVCPr6mUlakOiQgHb+7yMR5HR2tpAqlo/n7JhrTdnMINnX30LgKzMrHqvWDBRiVM7boXmFUzUFYfl1V5JiIygQ47m2fbCl222+xz4K1zXZc2aNc0qYbq5o2kaa9asTbYZfyAvL4+amhreeuutZJvyB4qLi3nyySebXS6blBLXdbf8xibmyiuvpHXr1vznP//h66+/TrY5gHfe33jjTUyd+ikLFy4kHA7z8ssvJ9usZkUqJ6uWaDTKiBEjeOONNxgxYiRHHnlksk2qJxKJYBgGuq4TjUZp1arVdo0zbUUnLAuyMqBLXjURy49AkhesodoMka4n0BULnzCJOmmkqxF8boK4SEMVDn43TsCsQUgX3fJyoSKxOLc+9CT33nAFYeHlQAnXwQploloGRiibmD8L1bXQa1cASqHiKBqaY2BqISzVT9CK4DeqvZCcbdaHD1XHREinXkDpsSpPREkXV/Oj1Na0kkLxBJaU3kpBRWVj1CAQDJGuyl8Lg9aWTXA1H6L2vWat10o3arD1EAIXzYx7Kw31AMI2sYKZ6IlqzzbXQa0qA8dC1lSDzwfhHM+rZZmg+5CJuOfdUlWEP+AJsVobhT+Am4jz8CdfM+ysUwhl5aCYcVzdD0KhOtwGzTEp1wtoGVtBTSifRTUd6RouQiJQcVhS3ZaoobJ7i+QvP29KmmtOVnOmrKyUjz76iKFDz0u2KX9KTU0NQgjS09OTbcpvqKys5MEHR/Gf/9zebHLHAFatWkVBQQFVVVVkZWU1i9WH4OW1DR9+MT///DNHH300o0aN2u571U5IKifrr5g+fTq77rorK1as5MMPJzQrgQXwzjtv8+GHHxIOh7frpJ28tBPfFHUiM03StbVJQWaCajNAum6QppvYroamuIQUr/2NIzUy1BocqXr5Vk4FaXYV4UgRPqPaEz6ug2oZhDXB0Xv3J+TTkKqGkZZLTU4HEoFsajLb4CgaafEybMWHoXv9A6O+LCw1gK36CZrVZMRLEdLB0oOodgKB9xTpT1Thr96Ar6YUPV6Nr8qrCq8koiAlim3g1tbdkqr+q2dJ82Gm5/LyR5/x4nuTPGHjOl74z4whbBMtXo2ozQ/TzCi6UYNwbBTXQq3L0RIKqhH16nDFq3B8QVzNhx3K9ObJyAFVRUajnsCSEuk4ngisS5x1HKRR60GTLkLVwDIp3ljG9SceTKYVQS8vRDgWWrwaV1EJmDU4ikaOtZ7ytLbYQqdv2hJqnAx80iDmhmiVVoVfk8wt6bhjJ9efcP/99/Hhhx82+Lh/d1566aVml/8EkJubx9Ch57Fhw4Zkm/KnPPPM00yZMjnZZvyBjIwMDjzwoGYlsAA6duxIIBBg/PjxzWq/qarKc889z0cfTWLixIn07t2b2bNnJ9uspPOP9mQlEgluvfVWXn31Ne68804OPfTQZJv0G6ZPn05mZia77rrrdiW3T1vRifwsB8NSyAzZaIqLIiQ+1caVCj7FJqgZOFIlTYkihCTipBNWq7GkjyBRdCeBbifwmTUgJY4e9Fb0WSZDbrmXUdcOp22LHBx/CEf1BI+t+nEVT6BZih9FOqjSxhUqQroo0kGr7TEopIvmeILGFSqaFUezYp7gsQ2URBTpC3geKsuoTSg3vL+5jpd/VV97Svfa4PiCJKoqCKRneDlOtpcET104sdaD5fpCnsfM561yVI0Yjj+EKzR8sQrsQDqqlahfpVj3Pt/Gtd6KQk2HyjJkPFa/z0W6t6IQ0/TChIA0DUQgUFst3iCKwkG3jmbm/dfgz8zyPF8+L2Tp+EKYoWwS/jCaY1Dua01I1hA0q1nv60BpIkwP31I2ilbMXZdH21yTLukNu8qwpqYGKSXhcLhBx20ImrMnq6KiAr/f36yaNNdRWVnJueeew3vvvY+mNW4+37ZS12A7Go02i4VFv2fp0qWMHTuWhx56KNmm/Ia6e/esWbMIhYL0779Hki36FSklkyZ9xE033UT79u2ZP39+sxOrDUzKk/V75s2bx8CBA1mzZg0TJ05sdgILQEoX13W3S2B9vtITWHFDIStkoSkuuuIS0kxcqSCQCCFxpIqUgpgbqhdYPjdBkCiKdAiYNaiuhenLQDXj+COlOIqGguSGC86goHXr2iRyiaP6cIXqlViwYtiKD0U66K6B5vyaEFknsFTHqhdYwnXQrLiXF2WbXhhQSk/ISOmt2qstjYBQELVJ2cKxPeEE9Z8pKSzk8EtvwUHU59M5vl/b0kj11392d5P+gmZaTv3Pkez2v/49lF2/IlE1YrjpmaAIqKlEGgnceBzpOLimiYxFkbHashK2hVv7s0wkoNbmNFXw7ahrCfh0RDxa3wvR1fw4fu8G7Sg6ovYiaijeikOAkObtr7BaRatsC8dt2FWGkUikPrcixbaRnZ3NnDlzmlWl9TqysrL48MMJzU5gASiKgmEYnHzyydTU1CTbnD/QqVOn+hzY5pQ/JoTwyr64brOyCzzbjj32OJ544kl03cfee+/d7MrBNBX/OJHlui4PP/wwBx10MEOHDuW+++4nOzs72Wb9hrFjx/Lhhx9y0EEH079//2367LfFHfmmqBNpAYmuSvLDBi1CEVTFxa9a6IqDX7UIaBZZWjUCSZoaxa+YZKkVaNJCSJf0RBlBowrhOgjHJhCv8HKGgMtvvZuvflzA7r26IVUflj+9vsWNrfmJ+rOxVT9qbRK5pfhxFA3VtVCljVKbUxWIlaNacfzRsvovraYMNVKBYhoo8RpEPOoJLFUHV3oCq7oCEatBqa5AqS5HxCIotZXXXVWnVV42H78wGh2JEcjETMvBCGZjhFtipLfASM8jntvBW/XoOsRDedh6iMpQKxKBbBLBLCK+bBw9SCItD622unw8Lc9btVhdhqwoB9vC2ljqzZswcGNxpGVhbtiIE6nBiUZxI1GcyiqkbePGoqwqq2LYk2964tAX8Lxd5RtQqsq8JtZVG/AlqrEUb4Vli4RXINFQgl6BUl8Z1UoOqmtTFdMQAmzZcDfOkpISpk6d2mDj/dOYNGlSsyoBsClSSi6//LJmUQbg9/j9ft577z0yMjKanWDQNI1ddtmFqVOncvfddyXbnD9wwAEHsMceA3jxxXG88cYbyTbnNxxwwAG8//77tG7dhgsvvJC777672R3fxuYfFS4sKiri3HPPpaqqilGjHqR9+/Zb/lATEolE8Pl8lJSUEA6Ht9mb8NW6Tvh0SXaaRdxSSfdZ5AYiVJlp+FULn2pjuwpCgF8xEUh0YeGikiara0N2CuH4RnTDe6KsW/WmGVFcMwG+IOvKKmnVIg83lOnlOikqUij1Ce6qa2NqQWStB7XOoxWOeTkhQrooroUUCr6aUpR4DW4wA7V8vSemwFuNp6pIrdbbU/t3GY8iNB3p2AifH6n7wB/yyjH4Atzy5Cvss3sfjjj8cKSq4QoVw5eOIh0coeG3ot6qRjuOK1R8Zg2uolOdVoAlPK+WgovAJTO2AVNPI5CoQDO9qvOKbaJVrEdWVWCVbPREVWUNWloQNeAHRcGqrEYNBuqPixrwIx0HoetY4Uzmr1zHwF26IQIhMBNI10X4A2Db2C3b1yfpRzNa4ig6hhbCRic3upa1gR44UiVDqyHdrmSh0YPuwZVYSvNIfm1smnO4cGdg7ty59OnTp9muHH3rrbfYuHEjl19+ebJN+QOGYVBVVUVubi6KojS7ApylpaW4rkt6ejqqqjabhPg6li5dypVXXkFhYSHLli2jdevWyTapIdnsyfCPEVlTpkzhnHPO4eyzh3DZZZc1S7f5vff+l549ezF48OBt+tw3RZ1olVXrbbE02mZUIKXAcHUcVyWoGViuiq44aMLGlhoBxcAnvJV5cRkkxynBZ8XQrBhIiav60I0IiunlG0lF47FX30cIGHaJd4PzVgiaVIVaYqMTcmpIqGlIBI5UsaROrrsBS/ETMipRHRM97nVzV6wEipmAio2QqG0boarIRAKRlgamiZtI1K8GVNLScKNRlHAYodUKrvQw0h/yKqcLBamoFFfWkO734WvRxvMI+dKoCeXjil+dtrpj4Cg6upMgGK9A4CJRKEnvjC5qvW3SwVdbrT6tZkN9b0MpFPTyIqSiIYvXUjlvMYqu41oW0pUomoovKwPXMFH8Ppx4AulKAnlZlBRtZLmisn+Pjt4+yMwEy0aE0ry6W5aBG87BDmUSS2+Jq6gYaghR++8nERj8Kt6CMsoasy22VGgfXL9N58zmGDlyBMOGXUyHDh0aZLyGprmLrAULFjBx4gRuuunmZJuyWWbMmMGgQYOa3U0YoKysDFVVycrKSrYpm+WBBx6gW7euDB58crJN+VOee+45bNvmkkua3/9IRUUFl156CYWFhVx//fVcd911yTapodisyGp+SqOBsW2b22+/nWeffY5HHnm0WTa2XLVqJcFgiOuvv2GbxN9X6zqhKODTJFVxH0JI8tLibIhlEtQ8UZCuJ6ixggQ1E1U4mK6PdDWCJmzi0stTynTLvb6AsrZiupVAM2rzioSCq/lwqsu5cPBRGHoQxbGIBXNQpENCz/BKIQhJQk1DkxYRMpBSkC5qUB0T1TFxFZW0siIvUd02UcpLPO9TNILQdC+8VhNBCQSwN2zEl5fjheBME1+rApzKKtTcHETQS4x1w17+lONPQ7gOJZEEdz81noduvhJFUbAAy5+OrfrqBZaDhoqNpfpxURFKbRNn3Sssmu5WEVXCaNLEERoJPQOf4wlALwne8Gp/ZRfAj99g10QItWpB1fJ1+NKDyNpCp4nSShzTRvVpSNdFup5IWlsd5bOiMvbt2BrF73kSRMjbHmF6Ilk4Tn0uluLaBGQUKURtyNVH2C7HVIOe101CB99aiuyGeyI84YQTyc/Pb7Dx/mm0bduWo446Otlm/CXTp39Bu3bt6NixY7JN+QO5ubkYhsGtt97Cv/89olkmwl988cWkpaVhmmaz9AhecMEFuK7LqlWrCAQCFBQUJNukerKzs3njjTeZOHEiV1/9fyxduownnhjTbGpRNgZ/3y3D60J/yCGH8MUX0/nwww+apcACbxXh3Llz0XV9m1zQoYBLVpqNEN5NuVWGV1A0XTcJaFa9wErXE6jCxZYaGVoNLiqm9BOWleTaG/DZMRRp17au8Wo1SVVHMaIgXb6Z9RUX3PsUvtyWpGXlEgt6AscVKppr4nPiqNiY0k+MdIIiTkiJYQsdzTHxG9X4E1XYoUyvBEPlRqRj49ZUg+tiFBYRW12IEghgVlRhx+LEVq0jsX4jis+HTCRQAn5EMA3pDyBDGUhVw6nthWiFMglmhDnygH1w/en1uVaKY9YLFp+TQCBxUT2BhUSRDtFQXn3Nr7iajoVOTGRg4vfa+SBIhLzttXxpKLbhbUPIE6hGeRVGdZxEZRQzksC1HeyEiVAEiqbi2i52wsKMJegW8HHLAbuB6yJtx8sxU4T3JV1QVFzdu2inVRWi1nnPEEihoLkmMS1MjHQyEyW/hmH1X/s37gg1NTV0796dYDC45Ten+FMyMzNp27Yt0WjDHJPGYMSIkXTo0KHZ5sb4/X4OPviQZrsaLTs7G5/Px0UXXciSJUuSbc4fUBQFTdP4+uuv+Oabb5Jtzp9y3HHHMWXKVObM+Y6WLVs2m+KqjcHfNlz4xRdfcPrpp3PuuUO59NJLm6VS/vrrr1FVlUGDBm31Z+Zs6AiAqsi6RXXkpBkYtucBaxGMELG8kFLYF6vPi9KEjSYcHKmQpkRQXZv0eCm+eGV9vz7hejWeVCOKcByQLpZQEf4ga5VMsrNzMNUAluJHk54ASODdkGNuiHQ1QtwNkiM3EkpU4ItVoCZqcH0hFDOGUl2BW1mOUeSFtuxYnERZNQCKphJZXwmAPxwko31LAEKd2iPSvJV1bk6+18y5ttm0q3phwm+/n0taVi67dO2IXdv/UHEdwGvLA2CrPqJ+b4GDkBJHaAScKJpj4DOjuKpOob8LtquhCK9mGEBAxvDbUYKxMkx/mGDNBrSyYtzyjbiRCNVLV+PangcrWlKNrK0UbcUtgtm1XipF8MnqYr5eX8ajZx6GVivQ/O3aeJ6sWrElLQvCWZi5bXFUP9FQHqFEBfFAlje+EkYTnrfRlH58wkB3DQwliMKOV6j+5JNPmDNnDiNGjNjhsRqL5h4uBLjhhus5+eRT2HvvvZNtyma56qorGTLkHPbcc89km7JZfvrpp/qk8+ZIRUUF2dnZ2LbdLNNP6vjss8/Iy8ujX79+yTblD5imyVFHHUkikWDMmDGceuqpyTZpe/nnlHCQUjJ69GhOO+00HnroIS6//PJmKbDg1xIN20rI5+LXJAHdpW1mDSHNJCcQJTsQo9oK4FNtcvzVSAQ+xQsT+oSJgoNfMdAdg5BRieJa2P40pFC9nCPpopoxL3TlWNQ4sM+lI6mSGr58r/mtz0kQtL2q70K6GNJPlZ1BmhKl3MwiXYmQFiv1PEm2gZHVysu/Ki9B1lTjxuNEC0uIFpZQumANru3g2g7lyzdgGza2YePP2iRE4A/Ue3tcPYBUdRx/CMuX7hUvdQzWVMTYUF6J4UtHCrX+o0K6qHbC6z3omPVeLAAXhZiagVZbUV61E/iFgSocJIK4G6wXNH7Dq/QukF6SfygDEQhglFViJ7xcLCtmogV0FE3FjHrlKuIVUaTr4pg2h7TMY1iHNphVEczKasxKT1xKywJNQ/oCXiK84xVNNf2esIwFsuu3JcOpIM2sRHNNHBRyq1YAEHHSWdRjx0NURx11VLMWWDsLo0Y92KwFFsDIkbdt08NdMiguLqa0dGOyzdgs2dnZlJWVcvLJJzfrPp/NsUVQHT6fj88++5w777yL008/nbPOOivZJjU4fytPVjweZ/jw4cyfP59HHx1N27Ztk23Sn/LZZ59RWFjIueeeu9Wf+W59R/y6JOSzqUloqArkhAwcKUjXE9iuhi0VNOES0hIYro6uOAgkfsXElqrnoRFRQmYVadXF9TWiFMtArU1wF2YC6QvgOC4iEGK5DBPOb0vAjmJoIVTXwlC9mlqKcInZAdK0OFE7SEu9hOyaNSAlqhlHqhparAqlciNuVSVWyUYSpZVUrS4BwDFtrHitR6zawKj2xEnv0waih71QoN6yJSKtNiyY3x5HD2D6w0ghEFKydNUaundoS8KX4a0gVHRcoRKwvL6BgYS3nF4KhUgov/5nU/G8fWlWFcG4149weWh3bOkJcr9ikS28v+dUrKjve+jqAdREDWLtCkq/+t77m+1gRhI4po0ZNakpjuDL8PZtIOxnjW2xLhrnwIJcMtu3qD+mWf37ej/4/Z7AAlAEZn5HAOKhHKRQifnCaK5FtciidXQp69O6omKTmyhEM6PM8+9Nm8COV/N+/PHHOO+888nIyNjhsRqLncGTVVJSwoQJE7jooouSbcpf8tFHH7H77rs361VeUkpWrlxJ586dk23KZikrKyU3Nw/HcVBVdcsfSBJPPDGGQYP2ZMCAAck25U+ZOHEi//vfaHr27Mn48ePJycnZ8oeaD39/T9bq1asZMGAg1dXVjB//crMVWFJKevXqtU0n+pwNHdFUT+farkJuukFBRpSAZtbXvUo4Gj7FJqQlEEKSpsXRhI1AYkmNHLmRttULyKopJBgrg9r8K9WMo5esQSSiXgV13Y+rBzh31Dg+WlFFbl4LVGljqgF8TpwqJYcaJ4OIHSDh+AioJhJBN3s+4XiJt/ouXo1WsR599SKMr76kevYcyr+bx4bvl1BT6AmXqsIqYmUxypZUsGbKekq+qaDdnu1pv3cHtLQgWnYWWlYmIpyJk9WCeLtemKHseoFl6OlUOSr/d9u9FDkhbMVHTPNKXvicOIpr4ze8lYxaIkKgvIjssmWEEhVIBBEnHReFqJ6JrYdwtAAhNU5Yi+JXLOKOnyK7NXGRhu0LYqZlk8jIR6spQ1gmbiyKoqkomopj2hg1CWzDxoiYmDUWpT9Wkqg0qC6soSZuUl4Z8zx1CRPpumhBP051bd9DQEaqvb6HgHAdHM1X75XTHa9ifRoRkJKCyFJ0YVIRbMXGzK7k+Ksb5LwMBIKpfKwGIBjcOfZjJBJp1rljABs3bmTEiBE4jpNsUzZLbm4ekydP5s4770y2KX/J3nvvQ5cuXZptLt5xxx3HO++8W9/m7uuvm2c+2bbytxBZs2fPZu+99+aEE07goYcebrYXuK+//prbbhtJq1at6NWr1xbfP7ekI3M2dERVJI4rSJiCzEACBYjbOlIKJIJ1Ndlk+uKe50pITFcn7gRwpUJQiRMQCdIjXh6U4loojk0ilIO/pgRt4zpkWtirQ1W7Cs8IZjFi5Ej2HLCHF2YTKrprUK7mE7WDGI6OKiTpWpy44yeTCuza/CjVSqDU1HqPaqqJl5TjGBZ2wmLj4o2ULNxAVWEVG74qp3JVDdFVBuEeIdK7BRCKINQiCz07y6vyrqpI3Y+ZkeetdpQSWZuIZgkNGczipdc/wJeWiyV86NL0VuEJDbc2+d0zREJtI+m6HoYAjtRIyACKY+EKlY1GlteGR/Fc/5arYqOhOFZ9g2o3kIbUfUSWr8FOmBjVMaQr0fwagcwQVtTCqnFwYi7xDQYl82rokxvmsOxsjGoDK2ZgVMeJbaxECfghPYxQFEQ4ExmoPW+li+EPY6n++q+6chLxYDbr07vhoNGmcDYZZjmOVBskXDhs2LBmnVuys5CRkcHZZ5/dbG9mdZxxxhl07NixWYe68vPzeeWVV5JtxhY56KCDuPrqq5v1Md99993Jzs7m6qv/j4ULFybbnD8lIyODH374kVNOOZXDDju02bUy2h52epH11ltvcfzxx3P77XcwbNiwZlcgrg7Lsthjjz0YNuzirf6Mokg0VaJrEkWApoLjqoR0gwxfAtPVkFKQ4TexXBUhJLarkabG8SkWPsVCES6ZVimu6sPRgyiugxkIE6pc5/UFDHmhOKmqSFVj4vw13Dj6efLzcgm4CeJ6BrqTYL1oS7WZjkBi1/Y9rDQzaKWvJzNSiGYbaFYMLVqBLF6Lu241Vlk5pb8UU1NUTnRjDaG8EOE2GWz4yqs4HV9nEu4Rwqy0SGsRItQiC9swceNxhKoiMrNxQ2E0I4rjC+KoPgw9HUNP55NpM7nh1rtx0Lw6V1Lgt2P4nLjXCLq2qrxS2wMRx/HyzoTAFH4sqWFLFR0vXGlrAQSShOvHkd7qQ11x0LFQLAPFdfDV1vhy9QDBVl7Yz4qZ9YnvjmljVP3aPsgss/lGRrjzh8Vo/trm1a7EMb2bmpQSt3AN0vE8iABS9+PoATTHrO/5qLo2tupHCoHmGPhFAlvqJMIFhDcupW1iKb1++Xi7z02AZ599hscff2yHxkjxK3feeQfvvvtOss3YIldddSXfffddss34S4QQXHnlFcydOzfZpmwWv99PdnY2N954Az/++GOyzflL/u//rqZHjx7Nsv0TeKsjr7zySgYN2pM77riDiRMnJtukHWKnzcmSUnLffffx2GOP8dRTT9O7d+9km7RZli9fzogRI3j11Ve3SgTOLemIEBK/JokkFHy6JC/NQAjvxh9QTUpiGaT5vBu6rjj1hUZdqeBIFb9qEJaVpCXKveRvy8DR/Tiqn9DGlYhotSewLBM3PQszIw9bC1IjNdZvKKFVx24A+J0Yy+0ugOc9S9dN/KqFi6BAFJEe8/KrfNEKlGglVFWw9t2p6CE/sbII0nXRgz5Kl5RS8XPkD9va5uB8Mttm4Zg2Od3b4joO6X13QQTTcDJzsdJzcIVGLJSLkC5Vah6OVChPhKiuLKVDQRqacPAJg6Bdg6PoaK6JZhsEYmXo1aWISCUoKnZeG2qyOxDRs7ClTpkZJqzHaGmtocafR5mVjeHo+FULw9Frc90UuiV+xFV9qFYcX3UJYt1KIouXEd1QgVAERnUcM2pQvryS6l9if9hGQ7q03zcPVVdIz89AuhJ/OEhay2zS+/VGBELIaA0iMxtcidWiLbGMlvW9IA01hO4axEQ6mXYZPitKTbAF+UU/UNqqH1ERri8su704jkMikWiWdYk2ZWfIyQIvFBcKhZrtops6EokEgUBgy29MMqWlpeTm5jbbh+g6Vq1aSdu27Zq9R9hxHE4+eTDPPPNss66LN3fuXM4++yz2228/Pv/882Sb81f8vXKybNtm2LBhvP3227z99jvNWmDFYjG6dOnCmDFjtuoC8WNpB4SQqAoYtsCnSzKDXs/BdD2B5aqUxDLQFBe1VnTpileawZUKPsUipMbJkFWkJcoRjo2r6Fi+NGw9RLCy8FeBpWjItDCuHqBUCXPOtSOJOQqtOnZDkQ5+J8ZXFX2IWTqmo6IpLmFfxCt6qpaSESlGouCLlKFWlFD+0WRiCxejBXTKl29Eui6lS8tZO7OQyGqvqKce/m1iaCgnhKKpZLTJI7re83CJYBoyVFu2QWhIVSNoVFGl5lFjhxg37gV+WfgT4ewCFOGi4Hl86gQWQCBWhhavrq8/hZQIxyK9uoiok4YqbLJ8EfzCwKptARRSE/hVC9PRiJo6tqugColqeSsUfdUluL4Q5OZTtbqERGUUozqOUASaXyO9IPSbbVstDaa5VfiFQqLSILI+hms7aAEdK2agh9Prq9eTlVsfxpSqXluCwltVWEdQevkzhYGu9S2Acjb+giZ2/In0s8+mNfsbw87Gl19OT7YJWyQQCDB+/HiKioqSbcpfkpeXxzfffMNbb72VbFP+ko4dO1FRUcGVV17ZrPPIVFXlhRfGkZ+fTyz2xwfD5kL//v158MGHWL16Needdx6JRCLZJm0zO53IisViDB48mOXLlzNu3Iu0bNky2SZtllgsximnnEwsFtviSol5ZR34sbQDquIJLNMWZIdMWqQn8KlOfRUk01HJ8JnoqosqvH9iVTg4roKLQogILRJr8NtRrwkxoDgmgcpC0pfPQYlUegJLKLj+IGZ6LrFwAYFAgEvPH0JWyLt5l8s85kZ6UxCOEdItwv4EuuJQaabTzlxKOF6CowUIlq1BrSxl48efYlTHKJm3kqp1lRg1JtGNUSJLEyQ2WFjVnq113zN7pxFs6yMtP4wv3cvHCmSnE+rYDukP4PqDuP40HM1PWagtpcF2VFtpJGwfrTv0ISuvNbYrsFwdnzC8voLSQa0tQCocG2HEkZruheIUFbVkHVJRCSgJKqxMIpa3ShKgwsok4fqxXBXD8cRGRSKE5apIRUU146CoXuixvBShCBzLrS/ZIBSF0vmVvzmmCoJQrXCqWhhFqAIzamInLISiYMfiSNtCxqIQrfGKwPp82HoQWwtgqkEcxRNhjvD6MArpogmHDLMcKy3bK5Mhd6w9ipSSjz/+uNl7XXYmLMti2rRpyTZjq8jMzGzWuUR1FBQU0KVL811lWEdeXh7nnXdes15pCJCTk0NZWSmnnXZqsw0dwq8J8W+99Ra77LILpmlu+UPNiJ3qqlpRUcERRxyBqmqMHfsUoVBoyx9KEuXl5YRCId55592tstNxvXJQQni1KTVVoijehS9NM5BSUGUGSdcNVMVBES62q+FXLC8PS4vjU0w011vt5zMiXuVzXEx/GKWqDOkP4YYyvN6EgTSkohJJL+DtyV8wY8YMdhu0LzE1g5XxtiwryyHks6mMB7BcFcdV8Kk2Bf5SbC2A4piESldD2XpkrAYzkiBWFiGQlUaiKkHV0igbv6va7PZmtEqn/b5tiZd7IUTHMAm2bokSzvQ8TwDSxdRDVFiZVNkZRC0fc2d/Qd8BB9GyZSt01cVwdM+b5iTwm16RVeDXkhS2hXBtr4VPbgGl2V3qV10CKMJlI17bCSm9fwi/aqOrnqzN923Eqq1ZJYw4oqQQp6oS13bQgzqu7ZCo9Lx0avDXfydHSlqgsbf4tRyCqis4ljeuUMSvns1aD5Jwbeywl+slN/F6OqiotS2PlNrtq9LzKMr0ijRmOztWS0gIwcMPP9JsK2zvjGRnZ3PXXXcn24yt4oQTTtgphFanTp3YZZc+zJ49O9mm/CVCCAYMGMDHH3/M9OlfJNucvyQ3N48333wLTdMoLy9PtjmbJRwO8+WXM+jcuQt9+/Zl2bJlyTZpq9lpRFZhYSEHHHAAPXr0ZNSoUc36hiCl5IorrmD58uVbJbB+2NgBVYGgz8F1BT5Vkp8ery/PUG0F6mtgma6G46powiWoGcQdP7as9WIJr4K54to4mh/hOmhmnLTKdUhfADQNkYjjpGfj+ILEM1oiEbRr05rclq1xhIYuTVZtDJBTmwOWG4qTphuYrkYHuQK/EyMYKyVQshIci6o581j01PvEyiJYcZt1361FUQVObPMF8NSQQjDLW0nnS/fyQYzqOHqHjl4197QsrFAmZjCLGtXLk6oxA9i2yXtvPE80YWG5Sv0+ELV+vjrh5LO8lYhIt7awquO141E9MeOiIASoiostPUFXaYSoMT1bopaPqrhOQHOosHOwtCBqvBo35JWIUNLSSFR5wkoL6GS0ClO2rAw97ddw23IM7nZ/DcEouqhPio9Xxuv7GVrF6xG6DmkZnroGNDOKW1u+wRUqGr99ysxPrCYgPRFpZuRhKzvWP23y5MmMHz9+h8ZI8UeeeGIMX3/9VbLN2CrOPvts1q5dm2wztkgkUsMbb7ze7AUheJ63goJWyTZji6SlpTF37veMHNm8CxFnZ2fz+OOPU1payoEHHsjGjc23UO2m7BSJ7ytXruTQQw/l1FNPY/jw4c06+bGmpqa+u/3WNA/9ubw9fs0TCVFDJTvk3Yj9mo1a25PQdDR86q/LrB0pSNcSJBwfftVCVywyZBVBs7q2GbOGahsEqtfXerACXnkGRcX1e21pIrkdSdjw5vsfMviMIcSUbNbW5FATV8lOs7BdhXSflwsWtzW6hNaSnijDVv1krv0Rub4QgMLJXxEtjVK9roZ4sUGobYCqhX9de6fr4PYomiciFE0lLT8Tf06YUB/PMxPr0A/FtajKaMvcim74NBfXFTiOga77CPksLEfFcQU9M1Z7+8uJEUh4njMhHQJl67xtrm28jKqSaNGBaKgFUSVMxEkn7ui1CwUEkYSPrGCifp8nHI2YqbF7+iKkUMgpmodwHNwVv1A2dxHx8giqTyNRFcM2HKrX1fwh6d2WEm2TczV/L696e26XPKyYQVanAjJ37Q0+H8LnQ/oCmPkdiKa3xFL8SKFgCR+OVNGFhcAlu2Yt0ZDn7dIckxqfF4bekbY6xcXFRKNRunbtut1jNBU7S+I7wOLFi8nLyyMvLy/ZpmwRy7Ka9YPr72muzZl/j2mavPPO25xxxpnNPhxvmia2baMoSrNeDCGl5JFHHubll1/m9ddf5+ijm0VD9p038X3ZsmUcdNBBDB16HpdcckmzFlgAzz//PG+++eZWCywpBbajYDsKuiYJ6RYh3RM3pqNRY/qxXUHM8hKxHSnQFYeYHajvSwjUNzy29BCqbaA6BkpFCTIQ8mpgqbqXn6TqJDJbYWlBSkyVoo1lWEoIR6qs3aiRlWYT0BwyAwlUxaHa9NM9sALNNb2CmDXrobyU6vlLqJ6/hGhpFM2vovoUwl3T0AJbzkOwDU8wurZDbu8OBPKyCHbpjJNTgJNTgKv5sH1pJEQIV0LCUiha/TMjL/f+mRxXwZUCXXXxOzH8TgzFtVEcE6REM6JeSQrF2z/CtqCqnMD6FUgEUddbQacKSYYeRxWSvLQYUctHjemjIhGguDJAu3AFAaManxXzEt4BJRjEjCSIlnorJ82oieZXsaI2wbbeMY9Ll1fcUn6/J0q+qcAxHeIVUWzDJr1TW68gaWa2V6tM92HrIfxGTX14UJcmivAElItKZXpbLMVPpZJLuGQJbdZ9Q7uf3t/iPv8rpJR06tRph8ZI8Ue6du3arGtQbYoQggcffHCnsNd1XU4+eTDr169PtilbRFEUioqKdoqEbZ/Px7PPPsvbb7+dbFP+EiEE1157HQUFBVx44YXN3gPbrEXWL7/8wsEHH8zw4ZdsUwuaZCClpKKigiuuuGKr+y+pAjRFYrsC2xX4NRdHChwpMBwdw1FRhUtQs/FrtlfWQbVRar0tIS2BXzHJcssImDUI18FnejlOvqqN3o0brwYWgOsLImwTSw+xYuUq0p0I/7r6BhAqCzfk0iHfE3eGo+K43leWP46hhggmKuvrREnTYP1Pq1n/02qCWUFq1keIFiUom1tN2dzNVx/Xwyp62EsUj5TU4A+H0NK8LzQNJVKJWlNOwpdBwpdBiZFDZUTBdQUFHfoy4uF3kBIcVyAl6IpLjZqNIzRUx8JVfZj+DBTbrPfcbbr9sdY9SKhpVBohXAQJR6M8kYblKNiuQki3CGgOmuKiCEmeu56EP0z6xmWo1WVgmVTNW0x6qxxCOSHiFTE0v0asPE5G2zTi6zwvpIUkH/0PDwQtBmbSokc+gcwQvjQ/qyd/6yXiOY5X7V3RUB2DWCAbQw1hCR+20DFcv1f/C0E4XoKJn3ZVP7OqzQGsbrM/n5//1Fadb5vj8ssvo6KiYofGSPFHVq5cyc0335xsM7YKTdNo1aoVhrFjpUCaAkVRePXV1ygoKEi2KVtE0zSuu+56YrEYhYWFyTZni1x22WUMGTJkp7geTJr0Meeddz5dunThww8/TLY5m6XZiqyFCxdyyCGHcOWVV3LmmWcm25wt8t133zFixAhUVd3iqpJFle1YWNEevTZMmOa3yU1LoCkurlRQAMtR0FUHTZE4UuBKBcPWMByNuO0jqBkElTh+kUCRDq6ighD4a0oIrq9NCnQdr/Gw4+D6/Liaj2hOB6K+LCZP+5yPv/mZiJPOrFWtyc2w8GteKYigZhExdSKmTq6vggyjlED1erQlP6At+YFFz39MWl4a/nQfZcvKkI7ELNvyE7C/pU527zC5XfO9VXmRBGpGOnqnzsgWrZFpYRKtumKoIVbZHVhfHSLggyXzpjN90kuEw5moiiRhq5iOQqYvSoZTUR8mlYpKeuVaL+HfcXA1v+fFqqkE1yEeyMKQfgKqTczyEzN10nSvkKsrFQSSuK1hOV7OVlzLQHUtXF8INz0TpIs/J0zZkiL0kB9fmq8+kb3km18vSj4EhyuZv9l2NaRgVFvUrK8mUeVVie9w9J4IVQV/yBPErk0krSW24kORXt/JhAzgVwxsxYcrFSpDrdCFSSS9gHZlcwkSRdF2zLv7/vsf7BQhrZ2Nbt26MW7cuGSbsdUMGTKk2UcK6giHw7z44jgWLVqUbFO2ismTJzNr1qxkm7FF6kLGV155BUuW/JJka7bMxRdfzMCBA7n00ktZvnx5ss35U5qlyFq6dCmHH3441157HaeccmqyzdkisViMQYMG8eijj27xvYsq2yGlQFEklu1l0gQ0u7bRs4EmXKrN2urf0vNwSQS2qxD2e3Wy0vUEqnBQcEk3yrzwkmN5RUery+rncoMZSEXFCWagmAaJUK5XNb1yAxcPv4SDjj6TBRvyMG2wHVFbF8oTenFTQVddwsZGVNdGMQ3ceBxUlXCbTCIlEYyISbzMoPynmq3aT2ktQkjHpWptOWl5aeT0aIO5sQwZjyLWLkeqOjVpBayLF1AaDWI7YNmQkd2SvAIvnGU6Cn7NJTcU9/aBayNcB8UxsbSAV+3diCIVgRqvQfoDCN1rwKzbXrJ6jenDdr2bSaXhJeDX7WcAtXZVp0CS0GvrdWl+0H2YlTW/Vni3/pgH5UjJ5e4qYvK3NXLqFgJkFITrk97dmGcPZgJheD/XJbxbwlcfMqxL6E93KqlxPHtyVs8BQHNNsnqkb9X+/zOWLl3KhAnN9ylwZ+f111/fKTwYAEVFRZxyysk7RVI5QKdOnQmHw8k2Y6sYMmQIp59+OjU1W3etTCZCCF54YRzdu/do1jW06njppfGcf/75dO/ena+//jrZ5vyBZieyVq9ezWGHHcYVV1zJSSedlGxztohpmpxyyslUVlZuVeJoncDSFBcX6kOE/tq+g9WmH79m40jFq/Cueq+HNBPD0bwehcLClhrpZjlSqESDufiMahTbROp+rweeEfPEhxEDIUjktMZRfZRGDU4681yipkt5Io2qKIRDEPJ5N3TbVdgY8ZOTZtIyVIXq2qh2Anf5IlBV1n74BapPQ/N7YiC+ziSz99ZXCVf02tCl7eLLChPo2RNy8sEfoDq3s9fQ2lWIGwpVUYFRtYLM7Fb022M/TEepP2ErYkHSlAi6FcdR6/LfBIqVQDgOUqv9m+N4BUmBKr/XezGjrlK+6norODUby61NxBcSRUh652/0KsgLDamoXuhxYzE1hWXowdpiokGd9Pz033ixVCF4WulESPzWm5neLYBQBaI2T6zo+2Lv/Tm5XsgQMHLaeCYLDVcq9ecLeKLLUr1kVNW1cUNhqrPaEzSq8KXvWJ0sVU0VIW0sfD59pxEtrVu35sMPJ+w03qwDDjiAQCDAhg0bkm3KVlFTU8Npp522U4RkdV2nsLCQs88+C9fd/kU1TcVFFw3jqKOO5uyzz252hXWblcgqLi7msMMOY+jQof/P3nmHyVWW/f/znDp9tu+mNxJC6E2aUkUQG+KrgCL4SgQFe0FUrGABe0OwoKAoCkhRQIo0lU4IEEjvbTfbp5/6/P54Zhd5fwi7swknR/hcV66F5OyZ75l6z12+N+9617uilvOSeJ6HZVlcd931NDU1veTxq0tTMPQQUw+RCDKWR9LwSeoeuhaMlqw0IGW6GCLEr1sVVANTHScCbM0hrw8jZIhrJEm4RayhHsyhHtBNhO8RZpsJraRydRcalWQrjpEik2/hV9f/i5LWxTPrbfJpyKeC0SwWQEe2xpRkLwKJ7tdIrHoCf7jAmj/fR2WgQqVf9X1t+rt6c3upaUKA5j0zGLaBmTTRLYOuA3fFyNX9p4rDOHP2pmzm2eDPYKhiMlwWhBIeuvcmFv/rWgz9uQ8qx9eY27SVlDtMqBlYToHASJDrXYnmucgRF3W3pjyyrAQykWTYzzFUS6KJkIqrjukeTjBQtjG0kOGqTSgFvQU10Vc28mRrfQRWEr1WxO/tG9Vg51IMbx4enZIc4Y5wmAH+/9JpZZ16Y60NK4f4zOQ0ejaDdGpqKMG08KwMvmZSCjLUwgSDYQshysnfDlWmqyvYSFnk8NLNuHqSx474AFa68SmruXPncsIJJzT8+6/y4px00juYOnVq1DLGzPr162OV2bzhhj/zr3/9M2oZYyKbzXLTTTeNTp/v7EyZMoWrr1ar4OIwEPGjH/2I17zmNUybNm2nCrx3miCrv7+fY489lre+9W28733/G7WcMXHxxd/i5ptvHtO+t9UllaXQNTkazBiaRBMhQkicwGTYSaBrqi/I8Q28UB9dn2OIkBDVEG9KFzuo4JgZUs4Q2khpqr7GIUzUp+fKQxD6BHYKT09w9bU3ctUVv0AYKVZuy9PWBOlEgG0GOJ6OqYcUqiYJ3aUaJplaXlYP+WDDvU9hZxOju/e86tgdgtMzbQI3pDZcU5OIpoaeTqMlEuB7BG3KS2ZrrZ2txRQDRY2hgrqPjn/Xxznyze/H8ZUOxxeE9VJfoJkYfpXAeP64cWgllaN9rhVZLiF1ncLUPdGQ6JpkyElS8zQGSirQSlkBphaStHz6CurvsrpK64eagVktILasf15GYmjDAIZtMLT++QZ+ARLjBaZ5mxY8V9IrdqsgVRt53siQast0dXuMZNTU9QdSH/27kZVBAklvTu2TtDtNEt/9xUs+Bv+Jj3zkIzz22GMN//6rvDh33XXXTu8/9O/ouk4YxiPzBrBw4Qc46aR3RC1jzNi2zfe+913uvPOOqKWMiXQ6zVVXXcnPfz6x4ZqXiwsvvIjjj38jr3/96+nr63vpX3gZ2Cl8sqrVKq9//etZsGAB55//uR15U9uVUqmEaZov+c1kQ1VNwWgw2gtk6WrnoCZCaoFFxTPrje9i9KelBxgixAt1EobKbOWMAllX9V2ZXhWrpqb5tBGH85Gdd76P06RWDlVTbRSMFoLBDTw73EzVXEDvoGRaJ+RTHlVPJ2N59BbVdcxrH6RTqj6S5odvAqDnvsdwChV8x2fdrWNPx+opDTOrY7daZCdlsDMWU4/aD6NJNYYHs3ent0P5Yz2yTQUOK9apAOOOqz/C8W95B3sdcCQVV1Mu+AK6smWm6hsxgxpG4I5ec3JgA366Wa3UkSF6aRBkSGXSrgA8Hh6A46mApVBVP1uzHlJCwvTZPKD6s2a2leiy+0gEZfJDGxCBR/jI/VQ2b6OwsRehCcp9ZYK6FcXWf6rHI5AS/QVKLemZ6n5NtSdItaYobi0x7y37kF6wK8G0eejlIcpd8+hLTEUXAQU/h607FNwMtu6R0UukQ/U4+5pFQar7zjnzRABafn31mB+P/8vg4CDJZHKn9sX5d+LkkwVQLpcJgiA2vUMj+L4fm12Wt99+O0uWPM2nPvXpqKWMiXXr1tHZ2UkymYxaypgol8sYhhGbDJyUkre//URWrVpFoVB4ufzfdl6frCAIOO200zAMk8mTJwPwxz/+kSeffBIpJRdc8AUAFi9ezJ/+9CcArrrqKpYtW0atVuPCC78GwCOPPMKNN94IwC9/+QvWrl3L8PAwl1xyMQD/+Mc/uO222wD46U9/wpYtW+jt7eUHP/g+oL5x3n333QB8//vfo6+vj02bNnHppZcCcOutt/LPf6q09Oc+dz5nnnkmPT09o07ZN9xwA48++igAX/vaV3Ech6VLl/Lb3/4WXUhu//MVrFzyMIYW8MMLP4yhhSxf8jB/vf4qvEDjtj/9hI2rnkT4RS69+FMALHn8H/zlxmvRRMjvr/gRm9cvozawha997ycEmsn999/PDfc8gFHs55Jf/4lNW7rp7h/iwl/9idCyufW+B/jLw0som3kWvv80lmx1qXkG1//mG7TkBQ/dfS1PPHQXlh7y0+9cQFrrwRl4ir/+4itoMuTGP/+Zv9/zMJU16/nyPxbjCVg6UOCWcAir1eD2cJgVsoqUkp+EKj27XFa5I1RWD38NB9mc9xnudvj2krWUt5X519purnn0GWjr4gf3PsmSARe/Zy0XXfID/EDw+AN3svSxP2MYglw2TVNrG3293Vz/qy+px/Hvf+Wpf15Hwi3yne/9kL5tPWzY0s33f3ElADff8jfu/ecDGIPdfP6y31MYLrBq9Rp+cPWNpEyXh++6gscf+RcJK+TKH3yUrX0BG1Yt5urf/IrmjM/df/klK5c8TCAFF3zufALTZtF993LVA0+RmtTGtT19bNAhNb2F765ZR6IpyRJZ4Z6wwNWyn4uCzWyWLiUZ8JtQORL/Y+0A91eHEbrGL9duZN2mAt2FEhdeexeaV+Mvjy/jLw8sJiVLXPzdn9Db18uKdX385vLvUPEt7rnlWu7/1wOkKv1cdPF3aFv9NypL7+aWgw+ibW7Hiz73Xuz1dPXVV7Ny5Ur+9Kc/Rfp6+ta3vkmxWGTNmjX88pe/fNHX0zPPPBOL94iRa+ru7uaSSy5GStnw4/RyX9PXvvZVzj77rAk9Ti/nNU2bNo03v/nNO/y5t72u6a677mTRokX85je/ifz1NJZrSqfT/OEPf+Ad7ziJTZs27vTvEb/73e/43e+upquri9e//vWRL+qO9KuKlJJPfvKTDAwMcMEFF4yaik2dOpV8Xn1b3313leVoasozdaoquc2YMZ1sNoumacyfvxugLPdHmDlzFqlUCtM0mTt3HqCWdo6U9ebM2QXbtjFNc9TlurOzY/T3d9lF/bsQgtmz1ULSrq5OUin1+wcccCDz5s0jnU6PmjhOnjx5VMP8+buhaRrZbJbp06djiJDp0yaTb2pCEyG77b4nugjI55tomzQbTZN0Tp2DkWxGaAYz5+6FQJJtamOyVKaZU2fMJZHMkhaD7Dp3HoFm0tHSTLNUJaR5s6aTsC1Mw2D+jMloTpVJ7a04dp5ACjrbWtEzk0hqSVq6dsU2JZMmT0KYWYSASTP2Qgqb5mwCZqv7ZEZ7E23bsgyu3Mz8lhzSC2hpStMlTNx+n05hkKmXsuagvuVk0ekU6ptDl7AwBiUaGvPb0iRbEjSVQ3JTuhChz9xJrdi5JkrZ6UyatQ8ARqqTTD7FmiV3MHXmrmTynUhspsxcgOsJFsxpAprwjQTzdpmNnUgiNJddZk7HTzfTOW06mUQCqRnssctMDF0jnUqSnXYgNd8k0bQLVrqdmqsxf8GeCE0nm80xa9ZMilWdfXdrJ5dvJhmU2Gs3lQHLloaZ3tZEZWsfs1rzmGUHYVnMzaTpXryNHDoIOIIsD1AkgYaBYHr9PulsTWB1JNENjY4q2JZOwtCZP2MSgZ0mP2s+eaAiMsyYMx/bTmDpkjlzZpMyXNJd82hLemxILWD+rvPZMOlwsj2P0nbv3wn/cBOTH374Pz73Xuz1lM/nuPbaP/HmN7850tfTrrvOR9d1UqnUS76eRjJCO/t7xMg1pdNpli1bRrlcftH3iJ3pmt7//jN5+umnJ/Q4vZzX1NnZ+bwVKzvqubc9r6m5uRnDMCJ/PY31mmbNmsknPvFJ2ts7dvr3iOnTp5PJZPj857/ARz/6Efbff38WL15MVERaLvzBD37ApZdeyh//+KfYpNMvueRiTjzxRObN23VMxw/5TegiQCKoBRZJ3SGQOpbmUvaTeKGOX58kc30VsCQMVUYMpVrKrAtlkNmkD6KHPkboYnkVUoMb643eBn4yh+6UQWhoTpVay2SqyRb6RAdrli2iefZR1Hyd1d0W2SQk7ZAgFOSS9cXDQpK3a5haQBebSLhFUk/ey/qb7iXZksEpVAn9AKFprLx+3bjvt46Dm9nljftg5nOYM2dD4BE2d7B5ykFsqXbghRpPrbGoOSGmqfHgLd/g9W98O62TdxsZvsPxBDNay8ywNpKu9uMb9mi5MDG4iSDVhBRCDQDIEFGrUp2+gGX2/gxUk1QcHccTdcsK0DXoyAeUHY1MIqBnyGDPKUMkdYcplRUgJVI3MO+6Dqd/iNLWAQLXx8okGFjTS7IpOXpf9EufFVSftxB6hESnSX5OlvyUPH0r+ph9zG7YLTm0Y9+GWRpgqGs3erVJhFKj6CWRUtBsF9lSbmZmpodMOIxEsDmYykxWsSKcT4c9gP3NDxN+/vvjfiziTNzKhXHlxhtv5JhjjiGb/f+fzzsjixcv5qmnnuL000+PWsq4eOaZZ0aDmjiwaNEiHnzwAc4998NRSxkTixcv5hOf+DhnnXUWF1ywQ3sjd75y4e23387FF1/ML3/5q9gEWACve93rmDp12piOHQ7yCCFHAyZdBIRomJqHIZRlw+jiZ18nafoYmrJsMLQQS/cRqKb4lFbBDNSEmkBiOQVE4IEMCQ0bzXNASoTv4ubbEWFAzUjT172en/zwe1Q9jW3DFqVyiOsr13RNKN8pIcDQVB9Ui96vArjNy5Qn1tTWUV8noWmsv3fTuO+zRKeJDOpjwPVxYOm6EKr+o0AKNg/Y+IGkUPAIQ5+3vfcLTJm5KyPfAfwAZreV6LAHRv2sTLeCVR3GLm5TwWW9Ly1IN0Eokck0A9kZ1AIDUw9xfUEQgqlDe17pGOmR80PBftP6kQjC+stC6gbJwU0I00QzVdLXyiSQYYhh62x6+LnetAoB/fI/T+DopoaRMBG6wEjZJObMRgpt1GpC/J/vMf1OltakmtrUQ3XeJlP1ZWXMGpsq7RMOsG655RbuuOP2CZ3jVV6aG274M/fdd2/UMsZFd3d3LDydRthnn304/fTTYzEFN4LneVxyySUMDQ1FLWXMzJw5k0MOOTRqGWNmn3324fLLf84Xv/jF0TLky00kQdbKlSs5/fTT+f73f8CUKVOikDBu+vv7ueaaazjkkENJpVJj+h2NsL7YVyKE8sZKaA6m8PGkmh7UADdQAZaaNAQhJFVf7SrU68GPIXyM0MMIXdKlHoSUauFzIg0jzdaajp/KI4VGYCapBSbtk6bzg8t/B0KjXF+f1ZoL6MjVSFoBCSOgd1g5nwshceslrjDbTFit4pZqWJkEbtkh0ZQi0TZ+uwB3wKfSW8PMZgh9X1krJJIMTN4LX6qVNgDFUoBhaPz6ouPZtmERYX19DoDrq2sM0Um6heeuuY7UDULDxiyqaT/he6CbeNKk5qkAyfk/A5FCQMIMyCYDaq7SEIQ6CVEj1J/fLFnuHiDZmkPWg0TdfL51wzRh82atmf+EV1E33jqnFT2h7mN7UHllrQ9V+lsX9aEFIUf9sUamO2t6mhCdotXK7NIT//F2xsPs2bOZMWPmdjnXq/xndtllF6ZNmx61jHHxwQ9+cLRHNi48+OADfPzjH49axpgxTZMrr7ySfD4fGy+1lpYW9t13X6666spYGJUCzJs3jy9+8Ut89atfZd26dS/77b/sQdbw8DBvfetb+ehHP8qBBx74ct98w1Sr1XE10JXDNIbmYwoPiSChOSQ0lYkaKR2GUkMTyjcLoOarD3ZTU+XBhOERhBqmFpBxB3H1BKlqvwqwUC7kUmgqg1XPaulOmVAzKSdauP7PN/DT732d7kozKzeblCoSTRPkEh5SChJmgK5JEpZUtylCLBxMr4y2ZS21jVtItecJXJ+mGW1seHA9pTXVcd93Rk5nzrFz8StVrM5OEBqVabuTqvQzVEsyWDapucqTU9cFn//u9UyfsydG3Xl9uCywDEmTVaTZ6ybUdKTQcO0MmlMmSGQJElm0wCO0k2heDanr+Kkca4tqwtLxdPwAghC8AMo1jc4mn1AKBksGhi6pBRZt9oAygXWKGG4Z1q1Aeh5CE0gZohk6fs3Dq3rP7SqUknOCdbjyhU37uvZvJ92eZuviLaQ78litzXgzFyhridbZo0HmlnIzmgjxAg0pwdI8XGmyTs6mz23BEg5WWGNTbnfm/2Liuzxnz57NrruOrez9Ko2z5557xebL5Aj9/f289a1vjc2HP8B+++3Pt7/97ahljJsvfOHz3HPPPVHLGDNCCDzPj02QBXDGGWdw5JFHsssuu1AqlV7W235ZgywpJaeffjr77bc/p5wytiXKOwNLljxNS0sL73nPe8Z0fDlMo4mQNCVM4WELB40AjQAdHx0fS1N/9HrWQqCcxi3dHw22ar6JrXvYuodjqOyZFniEuoFZ6EOEyqrAT2ZB05GagZPtwEnkKYk873z7m3jbaZ9EE5JSOaRWC0klBcNVi6Jj0le06CtaZJM+1cCki02YoUNi03Iqy1YQOC7lniHK24YZWL2NwAtIzRzfGG9mbgK33+epXyzByKQJnRrYNoZfo5xqY6iirnVbX4Drhix77E+s2ziIYejUPG00YZVNBqRlAcstY7mqjGYELiLwMEr96NUCoZlAq5XRCiqbVWiegRDK2b23oGMZUHPVn9asRxgKKo4Kvso1DUvzKfpZcm4/lXQHZmkApMQrVcjOmIQQGolWVdre9uRz64sM4CvaFCzx/7+c8gvSo75Yg0+X0CwDvaMTa8sq/HQzjpHC0v16/12ALiRuoDNQtvFDg5RWYaZYwxRjMxlXXdfsLfdjZceWTX0x3va2t0Xyze6VxqJFi/jf/42H998ILS0tXHbZZbFxfwflQbV58+bYlcA/+clPceSRR0YtY1yceeaZWJbF8uU7/37DES688CIOPvhg3vOe017WLw8va5D1ve99j/Xr1+/oBrTtzo033sTKlSvHfLwpfGzhYAXV+v+76CIYzWpVwhQVX/kS1QIDUwvwQh0hJF6oo2tq3YtEYAifjF4iFLpaBK2bGLUS0jAIzQSBnUb3HLX6RQhcK03VzHDTjX9m0TPrSeQnUXZMKtWAXFanOSNJ2z5SQqkqyCRUdq7VKlA16nv6BvpwCyWEoaMZGommNKWeMtnONKWVtXHdd2ZClepe+403IEwDbdoswnSegaZZLK/NwTZDlq4OKBY9mptNapVhulpUv5imSYZKgvmTS0zOFjDD+nVKSSh0ksNbkYZFaKfxU3mM0iAEHtJOUJy+N4vLuyGQbOhTgWGhrDbs6JrqSRsqq/vcD2BeZxFD82nV+/B0m+Y1DyO2rEPoOkbSRmgCzVAvFyNhUut5rva4GocXWgnecXAzlU01OnbrxCk4tOydpfnww5DpHJWZe+NbadbWphKEOt2VPEXHpLuYxg+0UYf7ZFCiV5+E5VepWHk2e1NY853LKJ755XE9Di/ErbfeyowZMyZ8nld5cfbZZx+uvrpxL7MoEEIQBEEslgT/O2EYUqmMP9seJW1tbTz66KOxMSgdYfHixdx1151Ryxgzuq5z2WWXc/fdf+c1r3nNy3a7L1uQ9eCDD3LJJZfwox/9GMtqfA3Iy02pVOKCCy5g7733HtPxrrQx6n1YI8t+hZToqKnAapgc3UsXSo1QCmqBgZTP7akzRKgmCkWIrakSkSYD9Sfw0Fz1JqLXSojAU6XCkds3UggpyebyNGd0HN+gv6iTTukIoYKL3oKFV3dQN3SJbfhkw0ECqWO7JbTWDhItefyqg5VJErg+iSabcm911FhzrJS3qKCsuF71H4mSat6ukiaUgg09Op4XYlkagVfj6LedQ3vXdIRQQUZTRv0cuW+QEqnppArqfKGVwk02obtVpGGoHYPAemMuAIWqypSNrN9qyqpeLCkFpiGpOhr5tMomaoSjrurU1H0cFFUWyitVCP2QWn8Bp/D8N/GnZYVNPL/hSzOV3s4D29i2tIe+p4aYfqjqvfLyHdilPsrJVlUO1n38QB2v1Uuk7ZkKXWzCCBxsocrMg36LOuc+s8b1GLwQQ0ND3HHHHbHKVMQVTdO46aabqNXG9wUlap599lkWL34yahnjYt68eZx44omxu6/T6TSZTDwmOUc4/PDDOffcD7/s5beJkEwm+dKXvszKlSt58smX57n9sgRZ/f39nHLKKXztaxfGqjehp6eHU045eVwLMkf6ZjSe698SSIxQBV625uIEJobmU/FNbF1llUw9JKH7aDw36WfqalLG1RLo0kcKDaMyDEIgdZMgkcG30yqzY1g4mTaM0GXZ+m287ohjaJ62H8MVg6QtSSVVn4/rg2WoD/JMUuL5GrqQ1PQ0hqgvid68Qd1+OkltqIxm6AhNI3ACyuvGt9zU7VfnzEzrRG9tQyaSFNvnoAufIBSk/830+Orvn87yJ577ZiQlzG4dxtJ80noZLfQRYYDUdISvphNF4GGXVelOK6hFzcKpsa2s1tgMlwVhqAKrVALKNehoCupZLHU7k/Kq/NgSbgMgFDrS90DXCapV9FQSzTRItDVhppMMbx4m0flcY/zbtRb2Fs8v32VmJ6kNOjiF597s7eYsCG3UoX5ToKZUe0pK68i6oKGyjiFCykYex1A+MVJotOj97FF5gNS0iTckl0olVq0ae3b2VSbGihXLY9XDAnDcccfFYofs/+Xmm2/m61+/KGoZ42KPPfbgwAMPZMOGDVFLGReO43DSSW+P1STqSSedxHnnnceBBx7IqlWrdvjt7fAgS0rJwoULef3rj+X1r3/9jr657UpnZyfXXXc9mjb2u8kKqqqvyS+P/r8RuqrUJ3SCerM7gF7fSygEBFIQ8vyddc3GEBohGW8IgHSlFy+jshmBlSQ0LIxaaXTSTgqNipHjkm98lfVrVzFYS5JL+mzohpoT0pyFKS0uoYSEGWLokpTl4QUaNZlAonrDwpqDZluYuQyp9jzpziYMW8fKNrae4LCLXo+eTEBTK1gJamaW5YNT8AONLT0BiYROa6vJOz9yNbP3PBIAx9NGJ/5yRkkFr24Z187i6zZBMkeQzKnMltBUdk8TBKk8K+a/Y3QyMQjBcaHmqAAzn1YBZhBC1RE4npooTBoOrp5EyJCOdQ8BUFm6Ar9Ypratn9Dz8QolAsel2l8bLReukLVRZ/d/J9maoHlWnlRrisn7TmX+O3clNX0KXrtaFlxsmUFPKYWt+xSr+qiVhOcL9prcS9JwKAUZ+mU7NZlgmz6ZMhkGf3EZ3Ue/v6HH4d+ZOnUqH/7wRyZ8nlcZG+ed91laWlqiljFuPv/5z8Wub+/444/nq1/9WtQyxs3ixYv56U9/ErWMcWHbNjff/JfY+KmNcPLJpzB79mw++clP7fDb2uFB1lVXXcWaNWv41Kd2/MVsT37/+99zzTXXjHun28iy5kRVLW42A5XJEDKs91gFJHRXZVYMVZpK6D5pw8HWfSxdWTkok9K69YCRUgGQDDFLAwSWypqEuomoT7S5ySYAqmGSH112FXN3UXsAC1WDQtHHNAUVBwZKJlKqRctpW/WCmXqIgco4pbetUed2XGrbBgg9n+JmlSkafLqxtLCerN+Hvg+eS02kmNe0BccXmKbAMARP/PMWutc9jm2ZGJqk5gqmt1bIGpVRD6laIo8W+mT7VqNXCyqbJQQi9NEKA0jDZKB9V3qrOSwjoL/43EKDIIRUvdJZrOikExLXh+ntLqYW0KQNIoUgXd6G0zqVsFAgMaWLxLTJWPksdksTwtDpX9n9vGubhMlrX8CA1M5YyFDSPKudZ/+wjKZdZ6DNmIPUTTw7i+WUSFn154olydj1jF8ioOCmSIgaXXITKa3CZGcNSa1KQtToeN0BDT0G/5ff/e53oysxXmXH89vf/pa//OXmqGWMm3e+8120tbVFLWNcWJbFww8/xMMPPxy1lHFxwAEHcPHFl0QtY9wkEgkuv/xybrnllqiljItrr72OBx98gHe/+9079HZ2aJC1fv16Pv3pT/ONb3wzNsslRzjuuDfwute9bty/J5DYbgmpGxiBgxQ6eqhKfb4wKQUpQjS0euBgaD5eqOOGKiAY6dcSSAzhkwjKJLwSZuAQ6Ha9VGgQGha6VyOwkogwwHSKBEHAOe9/F32DpdFy5ZY+yGZ0UglBot4KN1ImK1QNbMNXmaywXpLUdULHRU8lSXa2opkGuRkdyFDScfB/9oF6IaxWg9yuKYQQ6KkkWAlkKoMmQga8JoZK6lp1HQxTIDQNx5XUPI18uu4ZRT3rVzfkNLwqaDpOrhMn00ZgJVU2yzApTtmDQVqB59zzRzxQW/N1TYak6kKhIkb7tISQ1Eihhz5WqZ/E+mfxh4YJiiW8vgH8SpXyJrWbsffZgefZWJQJmcXzn9tTj+nEziZo320KA6u3cdiFJ2C2tiBKBUQYUEm10puZhSaey6opzeqBSZsOqbDIhnAmITqP+/shkKwqTmHLIdtnKvfII498WZs/X+kcfvjhHHhg/O7v3XffneHh4ahlNEA8ew03b97MOed8KFbWGdD452WUpFIpTjrpHdx444309PTssNvZYUFWGIa8733v43//9/3Mnz9/R93MDuGWW/5KEITj7h/TpY/hO5i1AoZbxvSqmH4VIQOMwEUisDU1aVgNTDSh3NyFkKQMFy8w0ESIE5ijpbtAGNTMDKObjYSGkLJeJtTQfBcpNGrJZtBNPvjxL5JvaiZExw80ZAgDAy5BCIb+nNP7cFkjn/JVWQ1BUqviCxNpWGi2hdB1/EoVI2lT6y+QbE5RWFt6Xi/SS+H2++SmZtGSCbTmFoJkBik0Cr6yQUjakEpqODWHWbsfx+RZB5K0BTNbhpmZH6TDHlBmrkINEWihj1UdAkBqOnapD6MyjD7UC4aJY6bZWm7CDXR6hnQGChLHlTTVE035dEjNFaQTMLXVZcHUCinTpc0aQBc+aWdQ9XXpuurDsi2MfJbAcUl2NFPtHSLZahN6z70B/iDsZoDnXKbnvmMm2a4cLbtOYevi9Wy6pwdr9hzEtDkM7nY4bjLPkNbKY1un4Yca6/vTNKdctg7aVB1Bk13F0lR5OW1USYgKUzP9bCh3cvhTF4/r+fhiGIYRuwxFnOnq6hpX28HOwqpVq/jGN74etYxxc8ghh3DAAQfgum7UUsbFpEmTOOecc2M3kDJz5iyGh4e58874TBsCnHfeeZx++hm87nWH77BF0jvsVX/55ZfjOA4LFy7cUTexw9iwYWND3yTMoIblFJCaTqib/1bOE0ihqX4nqaEx4uIe1H+q/x/px7J1D0vzEYQkvCJG6GJ6VdX0LTQC08ZPZAg1ncBM4CcyJCsD3Hjvwxyw+9TR8pptBlSq6pwjWax0Qv1/U6a+3gZB2nQpBRkSQX2NSyqJMA2sthY0yyQztYPqYIWOvVtxB/zRybmXonW/HJW+CloyibDqTvJmgrRexg2eK+U9ds+vueuPnwdgYEjdJym9giZUiVUjxMUmPbwFP5HBS+WxKoMgBFq1iLQTlCbNp49Oap6G42sEIViGIJsSDBVhqAg9g+rpXqonovxQQ0oxmj20S32MLErUkqojPyirZuXQ8ylsHmTo2eeXTL+lT6NdPBd4aoZG6Af0PbOBZFOS/T5yIAgNN99OojZIKdHK0t5OLEMyVFb3wbMbVTm1vrmHnBxiUG9HInClTVYOc/Aj3xjTfT5WLrjgC6xdu3a7nvNV/jOLFy/m29+OXylowYIF/PSn0awjmShf+MLnufvuu6OWMS40TWOXXXbhrrvuilrKuHFdd4dmhHYUZ511FmvXruGHP/zhDjn/DgmytmzZwpe+9CW++MUvoesv5CC089Ld3c2HPvQhOjs7x/V7VlAlFDpmeVBNAAKGW0YKDT1w8TVTGU5qHp40SRkuvtRJGB4po4aG6sMy6v1YScNBouEZ6sNeyPqInBAYtRJa4KP7rjIjtdIMhwZ33fcPhsMWbM2lz8kThIJaTa2qUYab4Adqf99wWU0bakKSMSqk9TK54mb8REb1Oek60nHRbAtnsEh+WgvlvgqhJ5+XyXkxQk8FcqKpFZnKqMDQtCkHaUquSVPax/clh7/pgxzzzq8gpSodWlp9FVH9T00m8DBB09E9R03nSYnmu4i61cJwspPVA82krGC018kwoFJT5bhkQgUxri+o1CQp01O7IYVU+wqlhlEeQpo2slIGXUfLZLA6O0m0tVDc0EP34m3Pu/ZnZIUH5POnatyyi5myyU5uZmDNIPm95iNTWXwzRaiZrHGm05atYRpq8KBcg0mtIVUXJjXVyJgVNBnQFPbT6W2g2e1mdW0GDx/0ebSW9nE9J1+MX/7yV6+6vb+MHHTQQXz729+JWkZD/PnP1/PMM89ELWPcfOUrX+X444+PWsa4CcOQu+66c4dlVnYUc+bM4bTTTqO7u/ulD96JyOfzXHPNH/nmN7+5Q57nOyTI+vjHP8473/lO5s2btyNOv8MYHh7mAx9Y2FCK2dWTZMvdhFaS0EqOTv1pgUegmxihhylcLOGM7qizNA8vMFTGIjSwdNWfNeICn3aHMAJn1G/LNxJqnUyyCd9MEpgqOyQRaLlWvvGtb2ObgkBq5K0ympCkUjpBIJESskllvGnoElMH21A6eqpNlIM0PU27Eug2wjQRuo6WSiL9ALs5q7yy8gla9h77FEl+Wo7ph85CDg9CGKC7VXSnQqfYQluqTHOiRrXUy6P3/JpEMkEoJQtmKw+rZFDCkJ5aT4RPZ2091XQblUw7mq8eH31wG33zj2Dt7OPZXO0kbQcMlExWbrYoliUpW9k2dDRLai6UKtA/JJnUqnrfpBTkzTICyZT+JyEMCNetAsPAHxxCmCb+4CBDy9dRHSiNrtEZIYlGpm5DOvcdM9n9jPl07jOL5l2n4xSq7Pm+I2HSdApd80AIqokm1vQk6R5KYOrKo6s1F7K1X8PQIWvVyIcD9IsOBkQ728xpbDFmsfefP8ohm3/P5t3eMO7n5QvhOA6XX375djnXq4wN3/e59NKfRi2jIZqbW8Y9ALQzkEgkuOqqK6lW42VOmkql+Na3Lo5leblYLLJw4Zk4zvisfqJmn332wTQtjj322O1+7u3+KN5yyy08/PDDnHvuh7f3qXc4+Xyem2/+S0NmqSmvQGAkMIa3oddU47vuOQgZIIVOWF+5EkgdjRCBxA2VXxaoQGnEcDOo/xxZpWP5qmSVLCkfJ8OvYVUGVQlSSkqVCkeccCKu6446yQdSffhXKgGeG6BrzzVWjxhfhvXbaU2UsHWHjD+EIETo+mh5T08lCf2A3IxOZBjiVv7PluUXQE9ppGfapNtV71UwazdkIk1gJSm0zqKoNSOlYNixMbUKvuvgOJIZk1W9rElTflcjjvmWcPDMJFIIUgX1LcncqkpdZU3dxmBVPWaOp64pkxKUaxBKqLn1+zWoG31m1RtAhz2ARJD3elXg1r8NvUNlMI3mJgBEvYa38Z+b/7/rnIHNXiKF1Wo87+8rPWoa01ywJ0Eqh+lVKSVUQ/5Iq0XPkPqdgaLG1PaQSc3eaPnYDw3yDLKp1MKSra2k99qTLXOPesn7fax4nvd/92u/yg5G13U8z49ddgLgqKOOYubMmVHLaAjX9SiXy1HLGDeFQoHjjz8O3/df+uCdiGw2y1/+8tfYDboB/OlPfyIMQ6655o/b9bzbNchyHIePfvSjfOUrX43dN59Vq1bxuc99ruGGQz1wsYu9EAQgw3pJK0TIED1wCbS68zg6hggQSNJ6dXR9jqX56NpzpqeB1LH9srJ+EDqBbuElcuhuBd9M4icyCBkiAo+8pfP7P1xDwjLQRUAttEf7jHI5A8PUcNy6N5QrSFghI1+SdCEZclMUvTRVI4tvJMFWj52WSBBUqui2hTtcomuvabTMaqJ5z8yL3hdTXttB67xmmnaZQqqrFWOoB6mbaIFPojpEWhbQREhrsoy0pnHQGz5EU14naUv8QNAbtKPJgIqRoy3sxgg9fM1CSEk126mmCTM5Nu52PL1uM0v7OwlCwcY+k4GCxPUloVQBFih/rFpNkssI9p7t4IU6eavMsJ+lFlhkBjeqgLXeh4XjIHSDsFymf9FSNj607nlrdNTjIzkjXIMjQ+afNJ/mOV207DaDWv8w2VlT6Tjng1TbZ+Emm9iWnkVVpPlX3wJMXRmkuh70DEhKZUk24bFbdh3N2gAlrYmUrkrPM7O97D5pAJkb31TnS5HJZDjrrLO36zlf5cURQvCxj30sdu0TAL29vbHzOBxh4cKFsfQny+VyXH317zEM46UP3gn58Ic/HLuy4aRJkzj11Hdz2mnvwfNeOpkwVrZrkPWTn/yE3XbbjcMPP3x7nvZlYerUqbz73Y2Px+uhelBEEKiAwq0SGhYiDAg1A8uvosmwvnInRBMh1SCBF+okNAe/nnmydJ+U4ZLUa6OBmRZ66IGLWSsQGja6Xxt1DffNBFf8+VYmGzXKYZqMUSWjV/DrQdbgoIcQAttSq2WkVD5Rng9DFRMn0EkZLpoIEYQUk20qk5VUwZbZ1oKesDGSNoVN/fiOP7oq5z9hJk2EJpBhiAwl5Wl7UMt1MpSfTindQU1L0WQW0IIy3//YXJJWjWkdAbomSZghughx9BSGVMEVgKfZhJqO6ZUxezcyMH0/SkGGrcNpEmZIwgyRElIJQS6t7Cpsk3rfmQq4ZnXUEAIsfaRc6zNZUxkqo3+LWskTBFD/FlbZsJlUZzMDT/7/bsa6EPxSm8WhHz+QzNR2MrvOwWxvQzN0CivXK4uNwKGWbMKmxrpSJ+WaoOoyGgCOmKVOTg1QIYMZ1DCFS4IKzxZmsrnSyvwtt7Nl5mENPy9fiDvvvINvfnP7NtK/ykvz2c+exyOPPBK1jHHT1tbGrbfeGrWMhujr6+ONbzw+dpYIoIw+r7vuuqhljBshBAsXLqS1tTVqKePmQx/6EDNmzOTKK6/cbufcbkFWb28v3/rWt/joRz+2vU75srFp0yaeffZZ9txzr4bPYVWH0XwHaVlotTJoOkZV+SLZzjCebhMIY3Tyb+RnQncJpEZCc0b/3g81bFFTFg66ha/b+EYCN9VMaNpITUfzXbTAp+YFbNi0GS2h1q8U/RS10MbSfCSCIw7QcJyAUKqgQ9eU+WXNVcaXoRQM1lKYWsBQ0IwRetRm7oEMQ3BdNDuBDAKsphxC00i3ZUZX5bwQHQc3k+7Ik+nMM7xmK1ZzHuu+m/CMBGbg4Gk2dlhl0MvjaTm+9etHmNJhj+4S9ENBTznLNr+dpFdAIvA1k4RfwghczGoBmcoyoHVgCJ9s0sfUQwaKBrapDEeFgGqN+q5G6B0IGS74pEwPUwtIGS4hGroIsLwKIvCQTg2EpprewwA0gd2cZ+n1T7zgdW7rCAkOzRG4HpXufqrrNuIPDFLeNkz+Hf9DYCTYmt+NktHEZreL5RtNhkuSgaEQ34d0QulryQtKfpIWbytbmIYvDcpksI2AQwdvRPRubfg5+Z849NDDeP/7z9zu532VF+fjH/8Ee+3V+HtMVAghWLr02ditfAEVIP7xj3+KnSUCKFPVNWtWj2ut287CPvvsw6OPPkJ/f1/UUsaFrut897vf4cMf/vB2a4LfbkHWV7/6VU444QTmzJmzvU75srFly5YJ36FSCEStrAwnPQetUhidgPPMNClnSK3XIcAQPqbwMDUPXxpYQnlomcIfLR36UjXEm14VPfQxvCq6X8OoqvMiNJXZMXS+/PEPoot6iVHz8EIdL9SxDZ/120xmzkjhB1Cpr5YJpVq8XKrpo4FHxbcIpEZNS1FOdxBMmaMyOjJEz6QJPY+ug3ajdbdpdBzcTMfBzS/omdX/1DCJ5gzJ1hyJpjRO3wDCNDD9GkKGJP0iuvRpNQd58pG/MzWxjpTlk7QCdCEp13RsI1AeYkYaTQYk/DKBZuLrNpXcJJ6a8haKXppVg+0Uqwbbhi2qrrq+cg2GCpJMCmquCiqnT9I4en+foVoCXUg0EZLTCzTJftJDm9DKBWhuB89FNLVCKFl33V08fdX9CP3/f3POzE0wkJT05hJkpnXRetA+AJQ39dD6mfMptcygmOpAFwGmdFm2JYOhqyxbKqmRsGHDloCZkyStuYBprMc1Umj1acrNpRaGqybIkC37vX1Cz8sXor+/H8OIX9kq7gghGBgYiFpGQyxduiyW4/kAQ0ODPP74Y1HLGDe2bXPeeZ+NZRYO4Kmnnqa7O37PmT333Iv29na+/OUvb5fzbZcga+3atfzhD3+I5S60IAg48MADee973zuh8xiVYaStGtVlqQCAVisjwoBEdXDUimHEuXxkwnDEM8usL2fO6CVk3a14pAQ5YkTqWmqyT/dqeFYawoDD/udMevr6CeulxVpgYesqcApDwW5TKrh12wFDV0FHqSoo1wQJM6RQs0aDMq3u4xVoJsJ3CTunQSKJ1tyCmc2gGQbucImmaU0MPlt43vWPNH8nOpQO3TJAEyQ62zEmq319nv78Zsj1K55ieHCQmZkeNCGpujrDZVjVncDW6hOEUt0vZqAyfev0uQShzrZyEssIcTzVY9aSDUknlMFpOjXS6A7DxZCWjIcX6LQkK6ODBu1DK8kV683shgGei/QcZKVI8alnqA7Vm+7Tz++JyC9Ik2pN8t53Hsr/vv1odZ9vVOdp2nd3pdVVgwq+NNnoTKa7N6A1rx6DXPp5p2NKTpUie8Iu2rRtbKq0Y9WnPrdOO5gdwa233spjjz2+Q879Kv+Z+++/n/vuuzdqGQ3xnve8hwMPPDBqGQ3R07ON1avXRC2jIVatWsUpp5wctYyG+OAHP8iCBQtiOexxzTV/5I477tgu5f3tEmRddNFFnHvuubFsMLzmmmv4wQ++P+HzbJ36GkS1jHRdhGEiPEfVg2SIZ6UJNAMjdAmFji59BJKEVkMXAY608aWOEJJAqpJiNUyiByNBlkBqOlIIQsNWq3QI0YA7rvwRk1rUhF1OL6BryjHeC3UsPcAPNfbbxSFh1eXUvxTZJnQPGqRtjyAUuL5OiKAYZEi4RcotM1SP0ogC20JLJvBrHl7VwysE1Ho8NFOgmYJEm0Vu1xS6raNZKtDK7Tobva0Nv3UydrEXT7ep1bNTKb/AOWf8DwcsmD56G4WKwDahOSNZ3tfOtrATLVQu+pZXpmC1UnCTVHwTU69PCuZcsgmf/oJ6Kpdrynh149aA4ULAnKmQsVyShodWX8ZdCyxcO0eomyrjGAZQHEIk03hbu0l0tlEdUH1nvY8+t1Jk6jGdZDrTtM1t5/03/4OBchVh6Jj5LGYugzf/AKSmM5SdwjDN1EKbrFll5hQdPxBs7fFxfdi81SOd0kjbAZ1aN1vEdHJ6kZpIYekBhgh5A7dN+Dn5n/jgBz/Icccdt8PO/yovzLve9S5OPXXH7knbUWzcuJHPfObTUctoiIMOOoh3vetdUctoiNmzZ3PFFb+OWkbDfPnLX+KOO+6IWsa46erqwrZtzjrrrAmfa8KjC6tWreKmm27ijjviZac/wimnnEKp1Nji43+na8vjoAnCUhGkRO/oRPg+wjCxagUQgordhBkq36tAGPjSxBABuvAx8KjJFLrw0YRBUqvimiksrwJI5bkVBrjpFpK9a3GbJ/Hnex5k/z13J92SQMiAjNNPD+1oIiRpONQCCyEka7clKZbBrjtTNGfrfWFCMFSxac9UqPkmNV+ZpA7Yk2ivbsBJt5LSNoCVUM3wpknLXvNING+hMqCyNbqp+rR8x8ewDfpW9CGEIDlzqvodXUdbvhiRySI798IKqiSqQ/ztvgd46JmVfPnD76eamkHC8GnJGmo5tKcRSthSzDI9FTKU6MSSDssHp+AGgmJFI5sKySZ8NvVbqnoqlA9W1ZF4nsCyBNM6BZ3ZMv2VJFnbI/Q0JiV7adNdEn29aF4NaScRngvNbcjuTWx7bBnbnu1BMzUq21Sgtd9H9mVwbS92NoFuGTTtMoWPtDXTlEzg9fZh7bkPW2cfSdofZivT0IIQQ/gs29bC5l5w3YAggFRKY1tfQDKp094smJbtxwhc0nqZvNfLQ6W90QUcu/XneB3TX+hptl24/PLLectb3sLkyZN32G28yv/PqlWrePDBByecNY+Cjo4O3v3u90Qto2G++MULOPHEE9l//+2zYP3lQtM0+vv7ePTRRzn66KOjljNuPvnJT5HP56OW0RA33ngTb3rTCWzZsmVC75UTzmRddNFFfOQjH4nlHbl48WIeeuih7aK9e/L+MNAHmoawLFWrEgLqGSikJOGq0tBIOdAQKlNVC0e8rdTDYQofT1oEmokm66nWkRSUlEgrgea7bNnaDY4qSeqBh2ckKXkWbmgoDy4RYoiQOR1VbOu51TrbBtXtl2sjp3yu76js20g0+lP1Et9k1WOnpVWdS8+prNnMw+eTn5In3ZbBq7ropkaiKUXrLi2kdp2Llkgg0mkwLUSX2gGZqyqfr1K6g8MO2Id3v/Ok0evPmRVCCRVXI5PwaU6r+6bXUjoe61M6dE2SsCRhKOgvmoThc9cFqpG8Ug1JJzU68w5FxyZRL7+lTFVyTDvKh0uEahKUMICeLQw9+SzbnlU9BLLuqTXSd5ZqzZBoSpGb3kHVslgwYxLBkMpybZil3vxSFdXkmdFLrB5qY2OPZFon5LMqI9iUU4/vpHaNOe0lslIFZTY11rELAIcLtQZkW9sCdhSTJ0+KncXKfwOpVIqurvFtkthZsG2bqVOnxs7Yc4QzzzyTBQt2j1pGQ9RqDn198WogH6GpqYm77rqTFSuWRy1l3HR1dTFnzhz233//CZ1nQkHWxo0bufnmm3nrW982IRFR4fs+nrd9Foh2bntanbP+wRuWVECl9asPbT1wCHQLIUPM0MGQHlIKtVpHq+FjktBqavWOcNAIsHz1hmYESqNW7+dyM62EmsFZ7z+DadOnqX+rB2NBqAKmmq+CA1WCFGiamrSzTLVeJqwvjB4sabiBjq6pdT6mFlDwVUDVk1Ef/H5LlzpX3T8rNW0yVosKTEV9159uqaSolVHHiFRaddjruvLzqhu8Jtwimgx4assg7VNnUk00Mc1ZAUBLWgVBmlABTli/lqf7ppIwQ0LA8eqmrvWBm5GhoaGC+ott/SGJhGDOZA8vqHuF2Q5Jw6Nd78WSDoZXVVksox6dDfaq631qo7q+NtVbpyc1dj9lL4ShY+dUT53d1c4/V23kG9ep3WKpPfcEIOMNUU22ktRrFIMs67t1MmmN/oKyz5jUobNqTY0glORSSmuBJgCKUgWus5pUU7TbNYsdyVve8tZYlvbjzuTJkzn22O3j2h8F3/zmN3j22fit1wGYNGkyq1atjFpGQ8yfP593vetdsW2A9zwfz4uXqeoIn/70ZygWixMKcsUYH7gXPOi8886jt7ePCy64oGEBUeE4DoZhbFdzwCnP/o1wsB9vWy9mawuh66LPmEOYbcbJtAFqNU6oGQSaQaCZ1LQUgTSwRRUj9HC15zIMZuiQdAtoMlCBShjgWmlS5T6++tNfM3XqVM74n7eihR7FdBe2V2aLOYtNxSZMPSRlqklDKWGoalGpaSTtkP6ChhCq92kkWOnMq7RWGAqaExVqvkWX3YPtV8gWt2IOdcOQcjInnUVu24o/NExxzSZ026K0dYDctDbstmaMJhWA6U3NhMUConMKDPbiz96Dcm4Swq3yjrM/we8v/wnltMpUdZZX05OeQyVI8mx3M205j23DJqUKVGqSSW0CKaEprYLJNVvV41auBBiGirSSCRVUteUlU5qr9JcTTMqWCKVGqzVIa20zdmUQEXjo1RJS1xFbNxAMDrLp7seQoSTw1Pm79lOZMzOXwSuUsJrVNZltbcjAR8vmqc5SAdZwRmXqhsJmcvowtyybQ9KGFatrpDMGuqZ2SOq64KRDhtAIyTFETaRIhUU2+tMZqKrHfbemjdvt+fhCuK7La197GA8//Egsx9ovvvhbNDc3x9JMtVgscsIJb+Qf//hn1FJecQwODnLeeefxi1/8ImopDfGzn/0M0zRZuHBh1FIawvd9pJSY5v8/kb6z86EPfZBqtco//vGPFzvsP76ZNpzJKhaL/OpXv+J973tfo6eIlFtvvYWLLrpwu55T1qrI+t5Dr38APZ2Gvm60ahGzOjxa8vN1lUGRCCzpIAjxpPq7EesGT1qYoYMeeggZEgqdUDcx/RqeneGzZ53GO95wOFrgIsIAy68QajohGi3JesBULz/6ofqZtEN0TckYia39QGDoEl2oEpyhKZ8uTYRscToJNJNidhLVtpnIjimIhMryEIaYHe1Y+TS6ZZDuyGNmVQYsrFTRcnlkEEAYItwaIpHCWPU0qXIfQSLLn3/1UyzLQBCSCYfqlgc+eWOYTDLEr2ehCiUVBQ7UhxmTls/GPp1QSoJAommCMATb0tB11Xc2uanGYNVmUraEGxrkrBIBBrpfv1/MuqN9fzfe1q0MPbsKGUqEJmiZ00kinyI9dw6Jjla1u7GlCc000NMpguEhfnvPoywlixQ6rqXc77f57SS1KnevnYOUsHxVFctS1+C46hraWtUbTEYU1TJxoQYhhh2bUk3n9Zt/vn2eiC+CaZrcddffYxlgxZ1MJsMtt8TT1BNg2bJl3HLLLVHLaIjm5ubYBlgA7373uznjjDOiltEwn/70p3jggX9FLaMhDjnkUB5++GFqtRc34f5PNNz4fsUVV3DMMccwderURk8RKW9/+0mccMKbtu9JMznCnh68UoVq7xAtTSrQ0MMAzXfQpI/plZFCIIWOFBq+sNBFQCg1HC2JToAhPSxZw9csdN0atX3w6+XG7r4BVi1dyRGHHUwgQwy3jBG4OFaGvD5M2evA0EJGLOwSRoCphwxWLEIJnc0hlhEyVDYwDYnjaQxXbZpTVSqeRcpUgVkQ6oRCxzdMbKPMUOd80uketMBHyzYjgUSvSqOGrosMJaHjIoQg6O/DmDRFNZR7LiR08D2sjcv58+onsHPNvOmIg8kGg5T0JgCSYZlQ6LSkHLoLCTSh+pd6ByUJGzb1hDiezcZNDtOmqp+TJ9kMFwJCKZnV6RNKQck1aU1V8aVG2nCwhEtzdSuJbWvBsCH0CVYuU5qDgOGNA3TtvwuaaZDYZQ7Nnot0XbzhIu5widweuwIqcLbmzkP2gUzlKaS7CIWGj0mzOcyGsuq3CUKJYWjkcgYb1pewbIPXHZhA0wIKbooCKXJWBcc3CaROEAqOT93D5q43bt/n4wswPDzMmjWr2W+/ifUZvMr4EULwzDPPsPfee5NKpaKWM240TYvlWqARbrrpJrLZbCwbyPP5PHfeeScHHXQQuXpfbJy4+OJLYrnPEOD000/nnnvu5qqrrmpo2rChTJaUkp/97GecdNI7Gvn1yNm0aRPXXnvtdn/Qt8w7htB1VYmp4uANDKkG+KF+ROCDlKOZj5H+KtuvYEoXXQSjDfFSCALNQMgQ10ipPi5P7THUQ5++3j6WrFillhoDtWTz6DmbS5uYam+tT+kZhFLg1TNZzSmXhBkihETXJJpQuwJ1TWLoKiRrTqipQUvzsXSfgswTYFC1cgTCoJCdQmDaeOlmgkQWc/Yu6E15xL+lgUdK0MG2+u4qoRGmcoRd05G5ZubtMotp06ZTM9L4mkVCVvAwqYo0odDIWlUm55WOkf2Dev2Z+uTTRWxbZ2uPRxBIhgsBqaSGDMHxNbxAoAmVmTNESNYo0lrZNKoDQG5cqxY/h2oZ9sw3HUJy+hQSrzlUHWdahJUqZlOe/KEHga6rx3XefErT9+KUNx9L0y7Kubvb6UQnoN9tZnVPAteHQjEgkdTZsF5Nre67R4pSVWNGbpBQakxObCMhaqOP92u1+yfytBsX27b1xHKk+r+FW275K0NDQ1HLaIh58+Zx/PHHRy2jYebMmc306TtuandH88wzz8TWzNa2bX79618zODgYtZSGmDt3Luecc05Dv9tQkPWvf6m03wEHxGscdgTf93dYbdjIZdEMg2RbDs22kKGEbBMIgVXqx/AdDF81wRuBg6snEDJUTvB4aIRINPVHaOjSRwtc5R4fBmiBx+4LduPshWfim6oZWwqtXgoTBLpFKHSmJrvRNUkoBQL10w9VEGJokiAUZJMB7TkX05CUHf3fyos6hhZi6x6GCPCkOufIn1qiiVAYqnk8kUSYptqPOGWysmyoLzXVmpoRRTUIoJWGkYZFkMoxffpM9pijGvZrIoWjJdUVi5B+X+27arOHmdVeYpfOCu3NQpmolnxsW6dUdCkOO7iOj6ZBzQlpbxZ4voYuIGGqALbZHKattB6rPECme7ny/erZCLqOlk6j53Po+RxacwsinUEUB1SwmMmjpVPo2QzIEFmroU2aiggCnhnUOOp9HwdgWDbRYffR47SzcluOpAWrVlcYHnJZ9lQ3/T0F8k0JegYk8zqHqQY2KdPBkyYeJlsKWZZuVQaz/bkd2+w+wrx5u3L++Z97WW7rVf5/Lrro67G1zpBScvTRR8V2wnCPPfakq6srahkN8/GPf5yZM2dGLaNhkskErrt9Bs1ebj7xiU/S2trKk08+Oe7fbajx/X3vex+TJk1i4cIPjPsGdwZc18WyrJc+sEG0b3yC/OxJ+OUqic429GwGvWsyhJLSzL3RAo9QN/GMJFroUTOzSKEhZIgUarmKJgM8zcYKayTcIpZTQMiQip3nxPcu5NrLvo+dzSOkVD1bmo4RuLhmGiEDAs1ktT8HW/cIpcZQLUHC9DG1gCDUqXgqEBpZmBxKlQFKmw4JXb0QRN0BHiCtlxFIJAI7rGIGDnrgkiz3YRR6EYVBZBiqCURPleGEZeF1zULzXaSm4yabKA4PcujJZ/PkHddTSbZSFWlEfZqwHKTxpU5SryGlIKgvzV410IKUguGyYKgoacoKglBNGOoatOZGFkQLkpaPqamsXGein67iCkrpTlIV1bSvhR5WsQ8/rbJ/yBDNc5CGhbH6KYIZ89Erw4TrVqG3tCJTWUToU566O/3paaSrPWwZrhG07E1/NUXWdlmxNYVpwNPPVsg32fT2VnBrPrmmJKmUwRv2r2FoPqHUSBk1NhRaSJo+M9NbaR9YTm/Lrjvsufh/efDBB1m/fh2nnNL4MvQoiXPjO8Avf/lLDjroNRPakxolPT09tLe3o2nbbSPby4bjOLzuda/lgQcexDAmbBH5stPT08P553+WX//6N1FLaZgd/dm7IznvvM/wzDPPsGzZshf65+3X+F4oFLjxxht5+9u3/061l4Pe3l5OOOGNO2wcdspTfwXAL6tve7Ue1bMkhwcJMzkSxW14ZhLNdxEyUMEVEm3kv2U4ukpmZIm0Z9RtEUI1+fbtCz5NxjaRQifUdAJdZeVCoYIST08gkDRbRWxN+U2NZHcMoQIQ2wiwdLUjMGl4JAx1nBPU1+KIQJmaalU0ESKQo7okqpxZsZsoZ7twWqcSdE5Htte/oSfqGbb6miEvlUcKDbNWoCmTYulNVyCAdLWfEJ1AGjihcr3XkFSDRN3PHoZd1UzflVPlw2mdynqiKSNpzkjmdCnbh1xCBYamFhJIQQgYwmcwO52KrrJFrq1KtYWOuVRTLZSyXTjJZkJL6RX5euA1qB4zv2smwq3hdM5iOK2+Aa8bqFAul/FCnZztUPFM8mnJo4tUZ/7wkFO/C9T9eNAedTuK+oTj0t52kuZz48wvZ4AFMGnSJHbddf7Lepuv8hx77rknbW3tUctomOHhYfr7+6OW0RC2bfPww4/EMsACaG9v57OfPT9qGQ3jui5HH30UlUolaikNccwxr2fNmjXjboAfd5B10003cfjhh9Pa2jbeX90paG9v55Zbbt1h01WyXKTrqNcQ+iHOcBkzm1beWaFEbF4PQHp4C7KeeQJBwi0qiwb53Lb1kQArEOoNITASiMBn68pn6WxrReqGynoJffRPoJtYXnk02Brp+UnqDinDJQg1fKlhagEJ3cfQJIYWUq17alm6j617VH17NIPlSHv0XL4wMaQ3en5NBni6TaiZSKERmgn81nqg1dSqnOLDgEC3cVPNSN3goUVP8fjyNRhehUC3SMkiTmhhCXd0X2FCc9AIqfgJUqZDU8rDCQymt7tkEgHteZ+EFZJKhJhaSHvGoeoZ5JPOaLP/HHs9VlhTa4wICAwbKXSqqTZCzcD0qmSK3di1YfRqAc0pA2AMdIProndNQa+VkZkmBvKzEFLSUVjFw0+t5YZ7luBLdV8GoeDRp1RgZVo6dsJAhlApu+y9IIFtBKP3ecHPMaWpjG34mPpzj/XLyfTp09l3330jue1Xgde85jV0dsbTkBTgjjtuj63fFMCjjz7KkiVPRy2jITRNo7m5mU2bNkUtpSEsy+Lvf787lkMfAMcddxz77rsfN99887h+b9wh/bXXXssRRxw53l/babj55ps57LBDd9ikw5ZDVBmmdcv3CT2P7sdW0Lb7dISuY3a0K5dxoWFVBvGSeRJehVqiiZQzhGckqVg5kl4JIQNCU8cIXQLNxDOTiGTILff9lRlTu3jr0a/DkhIt9HDsPCBHrR6M0EVISVYUGJZN9ayUQUuijBOYz5X9dOWjNYKGyrhIKfDCeuCludiagyctNFR2ywhdJKKe0bIopjqwrTSJ6iChZhLYKYSU6LUiUjcxnSK+mcJJNtPvhCQDB99MIYXACF2yRpFSmMEUPoHQKftJfKmNarP0gKThIqXSlzPLeNJAI6Qa2OSMEoNenoxRoRbaTGEDIpAUjBZSQZGanqZmZdGlryY2Q49AtzBrBTTfRXMqUDellYkkMtuEn8wRGBYD+ZmknUF6ran0JvfjwKMOYnYlwVBFkEu4XPPnXnRdY8acFgYHa5QKDpqAU96aJWGU8EKdjFkbvd+3Dqc5XrsVqZv0JubukOfgi/Htb19Ca2trbEv9cefb376E5uZmPvCBie9Ei4IPf/gjUUuYEMPDQ7FcWDzCvffeixAitrsY+/v7efrpp2O8O1Vy5plnjuv+H1eQNTw8zH333cfXvrZ9/aVeTjZu3AAcusNvJ/TqK3MKKssxUja0Mjncrlmj04YAZt2/yXJLuEZSLZMOAsygNlpCBHCtNB85/Z3q/2WIHjiE4rmHMNRMtDBQ5cfQwwqqZAyDapjEqE8vpowaVd9WPU8ITC3AC/X63kJvdMWOF+poIsSTJjIUaCJE/7eSoafbhKggSCBViTKRx3QrqqwpNIJEdrTEKXWDUNM57ojDlFgpEfXrzzj9+JZBKchgaS79XgZTC0dLmwAVzyZpOCQNdX+GUnl5JfURl3h1bIsxSJUsdqBS0r6m6v8VLUs2GMQIXTLFboxSPwgNaViI4jAykcTpnIUW+BiFXvx8cnQS1DXUN6+Cm+T6K7/NYUccS7rrQK6+qURrR5Z8kwrY3Zq6b15zUBvg0FdOMiM/xLZKlqTpY2k+b+QvSHR6m1/+AAvgs589nzCMJov2KspBOo79TCMsWrSIpUuX8p73xHOPYZwd9wFOPvnkqCVMCM/z6O7eGrWMhrnooq/zP//zDmq12phXk43r1f6Xv/yFI444gmw225DAnYFzz/3wy1LqHDzlPGQo6dprGhv/tZzQr3+w+eqDODTVB7MW1IMWI/G8/Ya+rv7drK/WcY0U/f39fPY7l43ehtpZ6GA7w+iBhxZ6Kr9UD15k3bIgpamAY6SRXRMhvtSUAWn9J4BTzxxpIkSvN4+PlC39UAVrFTLUhAo6DOlhSBVMjqz1GZl4pN6ML/y6WWplEBH4HHXy+6k5Do6dJdR0PD1BzVTPp5EG+KxVI2G4oyXLkQCqFqiAqRzUe75Gd0D6tJt9NMs+En6JhF/C1yxsVPCadfsxhUuyOkBTj2padJomjeqUiSR+6xQ1pVkZAqCSVFOONamudVOplYThMX+3BVjpDm65YwDL0qlVPbZuLrJ1c5HB3iIHH9xGay5kqGIyu0n1rozsThx2Egjf3aF7CV+Khx9+mJ6enshu/5XOhg0bWLRoUdQyGqatrY1ddtklahkN09vby2mnxTNABDXh+dnPnofjOFFLaYgZM2Zwxhnvi1pGw8yePZumpibOP3/svXHjymT99a9/5W1vi+eeQlCrCTKZDO9973tfltvzKuqF0DS9haG13YSeRzoIVKnScXCnqmyG4ZYx3DK1ZDPJivJB0QMX18og6oGXbyQgmePwQw/Ct9LoXhUhQ4J6MJYo9+Emm0AIjHpmzPTrx2jmaL9TIDV0PcANDXQRYOqqBGjrHn69VAiMWj94oY7U1H+bmocnDQLUBKQuAjRCNBnUy3A+/7ZrWk1L6gYi8EczWT/+1oWIbCuh0NFQwYen2diyhiNs3NAilBp+qKFrAUJIHM8ka9XwQ2M00KqF6mfeLOFKmyRlHD2FESoX9UAY5Ks9o0MB2WofWuDhp5qoplrQQx8/3Uwt2UxKN0GG9OTmkU+20GNMxRYOZdIQwEAwnYzl0GEP0DTnRO56aIhcc4J8k8XDdy9n5m7KkPfwo6eTTkDG9ulMFeiuNGHqAQNlmzf1/gJpJ9gy+/Ad8lwbK08//TTpdIpJkyZFquOVSnd3N+vWrWO//faLWkpDTJ8+PbYG1KCc37/yla9GLaNhhBAcddTRsd1jCPDjH/+Y9va22E44T506jUcffXTMx485kxUEAXfddVesJ5POOOMM3vzmN79stxec/z1Cv14uCyWDa3shDCk/+tjoMVLTR7NZtqMm1Kz6T19TAcJIRsrS4Oijj8Y10wRGAqnpCEKkVi/b1UtzmgzQQh8tDEhVVTbFEB4aAboIsYRLi1UkoSsTVHXuek9SPTtkaaoJ3tY93MAY/fuRzJZA4klrtCHe1ywqVk652Fvp0WsLDQs/ocpupcF+EgmbmqH+vWpmVf8YkkAYmMLH0tzRzNVIwJc0fAKpo2sBSd1BSlW+rPom/U6OWmjjYuNJc7QpvyZVKrdsNWN6VcqJFqqpVgq5KQT6cyPEibq1g5tSk4WDZicJUaMSphBCUvIShFJjkt3LrUumsPD4LO0dKaSU9PaoDGF7R4qZs7IYBrTnXNKWixOamLq6b08YuAIg8gALYOHCheyxx55Ry3jFcvDBB3PKKadELaNhBgYGOPTQQ6KW0TCGYaBpGsViMWopDXPcccfFOsh697vfzdvfflLUMhrmi1/8IuvWrRtzb9+Yg6xFixbR2dkZ22/AYRjy6KOP0NTU9LLerrzghziFKrplYCZNKj39uKUK1eXL0Rf/SwUkMkRIiRb4+GaSULfQQo98YVN9BY/KTn3pwm9w8223o9Ubt5UJqQqOyrlJCEKQklDoSE2t7Ql1i0yll5zbh02NJGUk2miwNBo8CUnaqI4GV6DsHEKpYeuqV6vkpXBCixAND5NAalTDpFoJJBM4Msmg0UFfZgaVTCeFzGR8M4VnZfASOZ558gl+e821WEGNotZMjZQyY63PBHrSQBchOaNMxqxh6T5eqONLjaTuoAmJE1pUfAtTC8iYNZrtIhrhqOWEQ4JAGGhISolWJIKh9GQCYRBqKnGrB6pxf6BpFgPNc+htX0Ah2cGwn6Xop1hb6kIXAboIaLEL3L3I4vaVs9iwyeG71w7x5ENr2LymF00XHPr6+bQ0m0xq09h9aglTD9g4kFb3iW9w8NY/sWXeMWzebefoBfnSl74Y2+mk/waWLl3KJZdcErWMhmlubuaf/4znDroRfvWrX7Ju3dqoZTTM7373O3784x9FLaNh8vk8Dz/8cNQyGmaXXXZh69atXHHFFWM6fszlwttvv503vGHn+KBohKGhIW6++S+RTEb6jo/v+AhN0L98C23zp+IMFDAyaaz7bsJ7rdqhqIUehlvGt9KjBqOpUi+elcY3k/zwwgsQXg1RX8kTaiaGX8LyXXTbwbFzmF4V3XeQmo5np5GBAB2MwCUb9FGzsni6hU6AqAcnAKVAZZt0EYz2Rgmh40sdKanbPqgyoxuaGHV/L4nAEi4hYjRir4ZJdKtJTSHWfbwC3eSQI1/PIUe+HhfIhoM4eooQHV8alIM0TcYQAEN+EwBpo0pCV71ZTmgShDpJw6HZLpPXhxiimUDqZPQSnrQI0NDry7ZTqJU2I6VEXfoqu4ePFBo1K4UeetT0NALJoN9EyUuQ0H12yW4efey21DpobjLYuMkhYZa44eo7mbbrMczfvZ2EXV+8nYDprVV0IdlcSDC5qcawk2BudhNbstFnr/6dN7/5LS/7F41XeY6uri6OPfbYqGU0jBCCe++9l0MOOYR0Oh21nIb4+te/EbWECfGe97wn1sMTmqZxzTV/4KCDDorlPkMhBK9//bFj9vsa8yP1j3/8I9alwpaWFr773e9GctupH6qI1y27hH7I1ifWEXoe1S09aoeeEEjdwLVziMDHLm5DhAFOIq9OIAS+63LFdTejI/F1VaaTmo6XzCMNVf4aWdczUj60vIpaxRMGo/YOydpQ3XxBre8JpI4vTRKag10v1elCTShamoetuehCjma8dCHrfls6nlRlxEqYwgtNfKkT1JvVqzJJUeTxjOSoj9eV197AM8uVx46vWZihQ00mRqcUPWmiS5+UXiWp19Dq2TZD+CR0l7RZxRA+Zt1gNa8Pk9UKaiWR8NCQJKiQCYdwhc2wbAKU15jtlahYeSpWHsdII4XGgGhnwGtia60dP9TJWjWmmCrAKodp1pe7eGxlkt4+l8H+CsWhPvo2PUboh6RTOo4racoJ5k6qEgK1wKA57ZEyHeZmd85s0W677RZbn5r/BnK5XKwbxwEeeughyuVy1DIaZtGiRdx4441Ry2iYIAi4+uqro5bRMJqmcemlP4tlgDXC/vvvz89+9rMxHTumICsMQx5++GH22y++JoZXXvkb/vnPf0Z2+6kfXkH+57+l3FdhaO0wfcu34gyXqW7uJrzhKgy3THbj0ziZNoqtszCqBVLFHqSmY1aHkX0b2LZ+NaFhYQQugW6iBR6emcQ3kwS6jVUZxPTKqlcrDNADF913CHTVqySF2m1ohTVSbgFTqH4oXfijJTtTqP4nox5oBVLH0tznerGEHJ089AKDISfFkJvCCUyqga2CttAglBpeaLJFTKdP76JkNtHV2Ymdb8UIXMKRZc1SqCyYCAnR6Q3acUJLNdoLF40QQwRYwqOJASZXV5EUVTxp4UsDISWFIK8CRVFBlz4lrYlamKCZfkIENZlgszGbfr+Vfr+VQdnKgGzDDU0szUcXkhZzCClhnTOdO1bO5N5l7TyyzKJYDnjq4bVksjY1v5Pj3/sNDjpsMtM7Qw6c7zG9zSEINYarFgNlm9ZEmRZj512C+ta3viW2C4r/G1i3bh3ve98ZUcuYEBdccAEdHR1Ry2iYbDZLR0d8XfcNw2Dt2jX4vv/SB++k3HbbbVx//XVRy2iYjo4OVq9ePaZjx7S7cOnSpfLNb34zd9xx50S1RcbSpUvJ5XJMmTIlUh3VT5xJ9+O9AMw8egYAHfvNA8CcNo3BPY8ZPXbEbiA0E3jJHLpXQ0hJYFh4VgYt9PENe9SyQQ89RBhgeFVCTSfUTLWcENTi6HqGK9AtfM0iEAYu6ttEUK8cB1JDiOd2Fv57cAXKykEiVAkvMEeb1EeO/3cHJl3Ieo+XmrJs87biGsp+YcTyYUA892Y3ki0baWxXwZUzumJHq5894w4iZDBq/RDUe61GrsGT1ui1uKE1qj2nFxj0m7A0D1P4lIMkrUY/hSBPxU+wfiBNsao0VGuwek2RUsGhNFhi8sw2Vj/1V9KJAocefxazJ6k3uKGywYKugVHj1DZz4D888q+yPYj77sL/Bn7xi5+zxx57cMghO95v8FX+O1m7di1BEMQ2qyul5DWveQ1PPfXkyLTtxHYXPvTQQ+yxxx7bS9/LjpSSjo6OyAMsgIHVQ1hNJsIU9K/qxSnWqPUOEDgupcVPky71kC71oIU+tfwkAiuFCAN+e/1fuPyPN6t1PE4ZuzqIkCFaPaiC56YQQ00nqO871EK1jFr3ndHSoR642F5JucMLnxBlp6DjYwpvNBPlSwM3VKVJLzTxQpNaYKmJOwS6FiiHeAROvUG95pt4oY4hQtzAwA0NnMBGJ2SvI0+gUHFwtQSOnsLRU7SGPfXypcQNTTTCUbsJVX7UkXU7CYHElTZlq4mC3c4QLQDooY8ZqEDOkTa1UP2ZXF1Fh9jKjNpSsnoRK6wxLVyLHxqj5dBimKPoJemtqOCv5oDnwROP9ZDL2UyemmPfg6fT2ZUi3bwrr3vdwXQ0S0w9ZEOvQaECD61p4fF1eeb4S1/W59J4kVLyu9/9LtaTSXGnVqtx7bXXRi1jQhx66GHMmjU7ahkNs3nzZk444Y1Ry5gQP/7xj7n99tujltEwM2fOpLm5OWoZDSOEQAj44Ac/+JLHjqnxffHixSxYsPuEhUVFoVDgf/7nf7j77rt32M7CsTLl5utH/3v1oW/BKXgMrR9i5uG7UN42zJQn/kF101ZyR70e4Tl0zzyUhF/m+MMDZLWMCDxCM4EIPKzyAH4yS1ifnLNqRRVoCaFc4YUgxMBwyyAEmucT6DaGXyXULZrKW0AIXDONY6TwhYknLax6z1Mg1RShZMQywSahuwhh4gWGWsRcz2CZmspM6ZpqgC95NgJJ0UmSsnwGZYorb3qUYSOPHzgIIZUXldZJi+zF02xa2MagaFfN9ggSooaFgyYDhJT4mkkuHCDhFikk20mIGo5I4oQ2UggyFMnKGjUthYXDttQsDOExlGyl6tk0m9Cvt+MFOkNhlkAKdCFZuiXN1m0+mzcMMnlqjkLBpVp2sG2dprxOW14SSsGst8yhv5igd0iQSWhMb/eZ37RpNNs3zM69ky4MQ1atWhX5a+CVjJSSlSvju/sP1HRVnLcGdHV18cc//ilqGRPipJNOinVvpeu6vO1tb+W+++5H1/WX/oWdkEMOOWRMxuxjymQ9++yzzJ0bzRqQ7UE+n+eee+7ZKT9cCsvVhML6f65mePMwQbGE1ZzHX6zMzjq6nyRT2MI2LUty0gy8ulN6YCYITRvNdzFrBZKVPjTfRYrnnrBSaMqrSrcI6ouc/50Rvyg9cEm6w6S9YWxRHf13Xfwf13epUfETaEIihFouDaDXA6yKZ1FxTSqegR+q3YNSCsqOSU9fiSXPrKDs2xQ81cMFkNBqVPQsUgh8zSIrh+ly1tEebq1fQ33Nj2ZTCrMMaa2U7WZS7jAATTXlXp5H9UE5WhIhJC4qmxVIdX/kjFL9GnTyZomhWoIlGzM8uSHLipUVisMqe3bvTY9RGKzw2qOmM6lD/e5AQTBUhJ9//ys8fu9v2X+WOtehxoMNPOLRoes6X/nKV6KW8YommUzy+c9/PmoZE+I3v/kNv/712MbXd0Z0XefJJ5+kVqtFLaVh8vn8mKfbdkZs2+af//xXbAMsgCOPPJK1a1/aCuQVEWQtWbIk0qb3/8ScB/7CbstvY/DpEm7Fo9xboe+pVfQtXkFQreE9vRgv3Uxg2vz4B99n1apVytzTSuNbaaSmU0234SVyhLpJYCbQQpWFkpqOHjjogYOQarpwZA9iYCSU47oMCDQTvf47Qgak3GGy4SBm3ZYhkBpDboYhJ0PFsyh5Fn69/yiQYtTLKqj/namHBKHADwRVVydE9XP19GzjvrtuZaBkUnQseisZtjktOKFN2h8m5Q6TK28lV96K7jskqkO0l9aS9EqURY7hIE8tsOipNLGqOoOV4a4A1KwsGVFEkwF66CsHekLSYYF2uknJEroIcaRNwc+xqjfP4u5JPL1Gp1AK2dztUSo6LHtiHQPbhjn1rIM58DVttOQgaYNtQSihXA358oVf5y3v/F96SikOsh8n0K3RADQO9Pf3c/bZr/YyRc2pp54a66bls88+m3POOTdqGRPitttupVAoRC2jYZ544gmuuOJXUcuYEHfeeSdr1qyJWkbDFArFMTm/v2TjuxCiKZPJDD7xxOKdMhM0FhYtepy+vj7e8Iadd/P30l3fyG7Lb2Pprm/EajXIzkih6YK9Pnkygw88SvKMszGcMpVsJ6ZXRQs9pNDQAg+jVqKSn0yi3MdQ8yyaBtfS3zqPpDuM6VYIDJtEZQAn1YxVKxBqdbNSNMK6/YNrprCdIqFmIIVGKdGCkBKHBD6G2l0Y2BhaQMWzKdQs/FDgeALTkCTMkDAUlB2NmisIQghCKJQknS2CgQJMbpMUq4L2nMp8GXpIxnLJWRUCqTPFX4Ov2yTqjveemSJZ6UOEASLwlQ2FYaG7VULDYqh5FpoMKOlNSATVMEkbPRS1Zoa9DLXAoFSzMPSQUs3ANEJ6BnW6e31cJySd1hkcdMnnLeZM0xgsCSwDNm31ERrMn6XjeoKWrM9Q2cBd8mP2nzWJ9Nz9I3ueTATHcVi2bBl777131FIa5r+h8f3xxx9j3333i63X0dq1a9m8eTOvfe1ro5byKjHmxhtvZNddd2W33XaLWkpDOI7DfvvtS6FQwLKsCTW+z5o9e3ZsAyyA/fbbf6cOsAB2W37b8/6/f1GB0tYq6665jSAM+dLZH0ZKiWuoOnwoVDvdQH4Ww21zMOqLpNP1NTq5kiq3+WYS10xRTbcRCp1aUjUbOrby4PL/rWQ44ogOkHKHsYMKNjUSokZCq41mbZxAZa2SVoBpSIZKGqs2G6zZqv5+a68qIxZKkqQtKFZh5dP3cut1lwNQqqmnnRuon6sGWnEDgw368ydNkpU+QGXlpGHhpNXS5sBSTeqt3UsA6CitptntxtZc+up9UQXHxvWVns39Jlv7BRt6dLb1qQBv9gx13XPnJPF9FfwNDQd096p/33Wm+t1Jzaqh/nVdy9i0eQtbRf6FH8AYoGlabDc2/DcxefKUWA8fFItFuru7o5YxIS6//HKWLHk6ahkNU6vV+OEPfxi1jAlx4oknxjbAAlXy1DSNv//97y963Fga36fGeSEowOc+9zne+c53xmIp6/8Ntpbu+kZkdhOJLo/iH36HM1DC6MgT+gFG0kYsvABXT9KXXkDZTmJpPpPtDQBYXhnPSKKHPpZTGDUpde0cWuiPmp1Wrdyoe7vtlem31RSmLaoEGJjSxccgbVTVxKGvMTU3xPLeFoSASg2qNRVYbe0X9PfVSKdSDA15uCmdTFqnc/J0gpYkej2s7y3o5FIhm4dSdOScUSuILUyjM9mNEbo4dpZ832r0ng0E/X2Ys3clTCiX6VA3CawUvmZRSE9CkwFpWUDXUlTCFCmzXjZFMLUtRBOqed3zNQxdsrEP2lp02vMh1ZqB58HkDp2kLZnbNkhSq2EJh61OO7PSW/Cweff/nrUDH/kdz+bNm/jCF77A1Vf/Pmopr2gWLjyTq6/+fWyd9/faay/22muvqGVMiH333Ze2tnh7ZaXT8W18B7j33nt46KGHOP/8z0UtpWGSySSbN29+0WNeEUHWueeeG9s3tJGgawHw1L5vIj0twdzj8whNZRabb74Ue+ZMOjM5wlSOStNUVUJLtGJ5ZSynSCXVOprBspwSieogvpkcbSrPl3oYzk3F9pSLc2dpFZ6VwnYKVJOtCBngWybZYJBtYjItSdUw2pZ1Ga6azJ4UsGqzwdSOkA09kEg+97RynJBi0ce0JlMOOtmwJaCnu8x+++SoOhqmIXlshcWuM0wylocb6FSt6Uyzt9DWp3zCgo6p6LqOHNiGu3oNZi6DOX0W0k6QTeSQuoFd7GVt+8FMKa9gfXIBbfYwhvAIbbVfcfVgC8WKxuyOCmXXZEa7y+YBi95hjUwKMknJ9OYSfWX1xmUJlcGaZPeOXstHP/oRzj//c0yePHlHPdw7lJkzZ70aYO0E3HLLrVFLmBDLly/nd7/7LRdeeFHUUhrmwAMPHPOC350RwzBYuPADUcuYEPvuu1+st8gAHHrooSSTyRc9Zizlwqk7g7/URKhUKrG28F++fDnvf///Mu+JWwB4/IePs/belWx9Yh0AlaUqGHH/cTcAnpEg4RUZTE2mlmwaPY8UOnZxG3q1gOFVkUIbLT+OBFjJct9ogAWQKWwBoKmqygOdUkXtGV1N2M1sUlN+u05TmaO9Z6ngJF1/3m3eoP792p9+ksfu+iFbNhUBGC5JKg6s2qAyWKWqyrKt36amDofDJtxUM6XmafjJ3Og1JHaZg1co0XvbXZT+cT+Joc2UE8ova8R0NK3XryUo0VbdyMzyUwAMFtW/P75M4+m1Jq313rDJLUp7h6XKk3l9+AUfh7POOouWlpYX/Lc40NfXx3XXxddl+b+F3/72t5RKpahlNMzkyZN5z3tOi1rGhPj2ty/hN7/5ddQyJsTb334iPT09UctomEQiEesJSYAnn3yKb37zmy96zFga3y//2c9+dtaxx8Z3OfSpp57KZZddRj4fz34az/MYGhqivT2+6e3/BrZu3Up7ezuGMea96jsV3d3d/O1vt/G+9/1v1FIa5r+h8f3SS3/Kaae9l1wu99IH74S4rsvg4CCdnTu3L9x/Oz09PbS2tsb2/Wj9+vV861vf5Gc/uyxqKQ1z8cUXo2mCyy67bEKN77m4vhmM8Ic//CG2ARZAoTDM8PALZ1fiwqJFj7Nu3bqoZUyIc875UKz3/nV1dcU6wPpv4Zxzzo1tgAXqw/Gzn/1s1DImxIoVy1myZEnUMibE4OBgrBd1z5gxI9YBFkAiYbNhw4YXPea/PshyHIfvfe+7UcuYECtWrOCWW26JWsaEWLlyVaxT2wA33HAjbW1tUctomKVLl/KpT30qahmveD7wgYVs2bIlahkNM3fuXH7zm99ELWNCbNq0mfXr10UtY0Jcd921bNz44h/wOzOu6/Kd73wnahkTYuXKVTz++OMvesxY8oy5sVjH78w0N8e3jwbgkEMOjf0y1pNPPjlqCRPmV7/6Faeddlps+/tmzJjBRz7y4ahlvOL57GfPp7W1NWoZDTM8PMwtt9zCu9/97qilNMzRRx8dtYQJc8EFX4xawoTQNC22A2kjnHTSSWjai9tbjSWTZcb1QwWUl8X//m+8SySLFi3iz3++/qUP3Im59NKf8thjj0UtY0IUi8WoJUwYwzBf+qBX2aHEtYdmBCklpVK8Xwv33HMPV111ZdQyJsRVV13JihXLo5bRMGpCcmHUMibEs88++5Kfa2NpfF998sknz04m4+nJUalU+Pvf/85b3vKWqKU0zNDQENVqhUmT4mkdANDf30cymYr1UtO409vby/Lly3jta18XtZSGeeyxR7HtBHvuuWfUUhrm73+/iwMOODDWfaJxp1Qq4Xkezc3NUUtpmE2bNtLU1Ewmk4laSsNcf/11nHji22O7w/CZZ55h9epV9Pf3/8d01liCrGUf/ehHd81k4lkyDMOQcrk8pm3Zr7LjcF0XXddj+2IC+PWvr+C0096Lab6aDYqKu+/+O8lkikMOOSRqKa9YisUCf/3rLZx66qlRS2kY3/eRUr76Wo6YQqFANpuN7UaZtWvXsGTJEp566qn/eAFjyVsPnXrqqbS3d2xHaS8fnufx9NNPsd9+8dw3B3DDDX/mySef4itf+UrUUhrm/PM/y1FHHc1xx+3c641ejNe+9jDmzNkltoHi5s2b+cc/7ueUU+L74djbu43m5mbe//73Ry2lYa644gre9ra3xbYvy3Vd3vSmN7PLLru89ME7Kddc8wfWrVsXa7fxj33so5x44ts56qijopbSEFJKHn30UV7zmtdELaVhLrjgApYvf/GS7ViCLKdWq20fRRHgOA4//elP+dWvrohaSsOccMKbOOGEN0UtY0J861sXRy1hwmiaHuudc0KIV7+57wRYlhXb5dCgPhwNI55fNEaI8xeNEb71rYtj+4UPVDbxhz/8Qay3UBx22KH09fW+6DFjeaUXCoXC9lEUAZlMJtYBFqiG62XLlkUtY0I8+OADrFq1KmoZE+ILX/h87J263/GO/4laxiue0047Lda9QN3d3Xz969+IWsaEWLJkCYsWLYpaxoR45plnqFarUctoGNM0Yx1gAaxYsZKXSkL91wdZUkq+9KUvxnpP1ebNm7nvvvuiljEhurt7KBTibaj6xz/+KdYjx8uWLePss+PrlP7fwimnnMzWrVujltEwM2bM4Be/+EXUMibE4OAg/f19UcuYELfffjv9/f1Ry2iYYrHIxRd/K2oZE2LJkiXbZUF0Ic5u40IIdt99D8IwjG1qde+992bvvfeOWsaEePvb3x61hAnz859fzimnnBpbt+5Zs2bFuq/vv4Xvfvd7sTa17e7u5s477+S9731v1FIa5nWvi++E7Qhf+MIXopYwIYQQsV8Qvf/++3PAAS/e7z2WTFZvb++L1xx3dk4++eRY96Js2bKFSy6Jd0/TH//4x9gvJ04kErGdggEIgiD265n+GxgcHIx1b5+maSQSiahlTIhf/epX3HbbbVHLmBBf+tKXYv16zmQynHjiiVHLmBA33ngDzzzzzIseM5Yga9OmTZu2j6KIOOOM01m06MWt73dmstksBxxwYNQyJsRhhx3GoYfG27X+9NPPiLUVyLZt2/j5zy+PWsYrnu9//3ux3jnX0dHBO9/5zqhlTIhjjz2WfffdN2oZE+KQQw6JdbB711138fGPfyxqGRMimUyy1157vegxr4gg69JLf8Y++8T3BZXNZjn88MOjljEhWlpaYruOZoRzzvlQrJfKzpw5k+997/tRy3jF86tfXRHrxvd//vOffP7z8bU+APXhGOf+Siklb3jDG2L9nnrUUUfxjW98M2oZE0LTNN70phef/B9LkLVx48aN20dRRHR3d7NmzZqoZUyI/fff/yWnGHZm7r//fn72s59FLWNCfPnLX2Hu3LlRy2iY/v5+fvKTH0ct4xXPJZdcHOupsP33359PfjLei8YvueRinnjiiahlNMzWrVs55ph4719csWIFfX3xHj548skn6e7uftFjxtL4vnbdunUEQRDbxvFnn30GIUSszfOeeOKJWHvrHH/88Rx//PFRy5gQlUoF0zRj++3Rsiy6uiZFLeMVz+TJU2L7XgpqKsxxnKhlTIhvf/s7UUuYEJMnT+buu++JWsaEePLJxXR1dTF9+vSopTREtVrFtm3e+ta3vuhxL/mpLaUstbe3E+eS4Vve8lbe/Ob47i4EePDBB18yYt6Z6evr45prrolaxoS48cYbWLp0adQyGiabzfI///OqT1bUnHbaaViWFbWMhnn88ce5/fbbo5YxIa688jex9rxbt24djz8e3z5jUIawRx4ZT7d6gL/97W9ks9mXfC2PKTWyYMGCWBtJbt68ma9+9StRy5gQy5YtY2BgIGoZDSOEygTFmU984pMcdthhUctomHK5zBFHxLu3L+44jhPr5xDAG9/4RhYuXBi1jAlRKpVinU3s6+tj9er4fiYDnHfeZ2I9HblkydNjeg6NOchauXLlhEVFRVNTE8cc8/qoZUyIM888kwULFkQto2FaW9tivW8O4M477+T++++PWkbDpFIpbrjhxqhlvKKxLIubb745ahkT4m9/+xsPPPCvqGVMiHPP/TDJZDJqGQ1zwAEHxH410HHHHU86nY5aRsMkk6kxPQZjCrL23Xdf1q1bO2FRUZFOp9lvv/1i3Udw3333cfnl8R6/f8c73kGctwe0tbXR3NwUtYyGEUKwbNlSwjCMWsorFtd1Wb16ddQyJkRraytNTfGdjtywYQMLF54ZtYwJ8Z3vfCfWjfvVapXDDjsMwxhLW/jOyZVX/gbTfGn9YwqyDj74YB566KEJi4qST3ziEyxevDhqGQ0zf/58jjnmmKhlTIjvfvc7pFKpqGU0zL777suee764J8rOzq9//Ws8z4taxiuWYrHINdf8IWoZE+LAAw+MdVa9s7OTL37xS1HLmBBvetObmDFjRtQyGub++++P9faJkS+qZ5xxxkseO6Yga/bs2dRqtVjv27rssss46KCDopbRMB0dHbEOUAB03Yh1Juuee+6JvXneL37xy9hOR/430NbWFnuvsjPOOCPWX1iHh4djPXggpSSfz9PS0hK1lIY57rjj+OY34+uR9a9//YtsNssee+zxkseOKcgSQnDIIYewdeuWCYuLis2bN/OXv8S3FyIIAk4//b24rhu1lIb505/+yNNPPxW1jIY59NBD+eY3473Q9Jvf/EasByjizsaNG/nRj34UtYwJcemll7L77rtHLaNhHn74IW655a9Ry2iYgYEBPvjBD0YtY0Jcd911sV5ufe211475s3jMBdHDDz+cu+++m/32e/FliDsrQgiGhuI7yWAYBnfd9feoZUyIT33q01FLmBBSSp54YhGHHhrf6bC9994n1t/i404qlYp1gALw2GOPcthhr41aRsO85S0v7mu0s9Pa2hr74Yn+/v5Y92MZhs7FF49tn/CY3S2PO+447rjjjoZFRc2UKVNivTUeVB37sccei1pGw6xYsZyrr746ahkNU61Wuf76P0ctY0KccMIJZDKZqGW8YmltbY11b6WUkquv/n2sF6X/4hc/J85bTOL+OQBw9tlnx3atkeu6/PWvfx3zLt4xB1l77LEH1WoVKeM7mXThhV/j1ltvjVpGw2iahqbF980tnc7Q1dUVtYyGaW5u5rvf/W7UMibEe997Go888kjUMl6x3H777XzsYx+NWkbDCCH4+c9/HmuPqcmTJ8e6v1XX9Vh/Dvz+97/nxz+O73qvp556ilwuN6Z+LAAhpRzLcRLgfe97HwcccABvfOMJE5AYHX19feRyuViXS6SUsf4WGXf9X/3qVzj33A/T1tYWtZSGcBwHy7Ji+xhcfPG3aG5u5qyzzo5aSkNIKfE8L7bvQWvXruWGG/4c292FI593cX3+Q/zfQx3HoVwux7Zx/6KLLiKTSf/fQPE/PiDjWob3lre8hRtvvLFBadGTz+f517/ia6JXrVY56qgjCYIgaikNc8QRhzM4OBi1jIY54ogjYj2dt3LlilivyIo7a9asYe3a+HoO5nI5Djro4KhlNMyaNWs48cS3RS2jYYrFIkcffXRsve7CMOQf//gHzc3x9Vn73e9+i+/7Yz5+XEHWG9/4Rh599NHYTgVomsYNN/w5tqakyWSS66+/Ptap+ttu+1usX2CHHx7vIGvx4ifZuHFD1DJesaxevYply5ZFLaNhMpnMmHtRdkbmzJnD738fX5+yTCbDddddi6aN66N7p2F4eJg77rg9tpm4TZs2kc1m+eEPfzjm3xlXuRDg5JNP5phjjon9mpq4sm7dWhzHZdddd41aSkOsWrUKz/PYbbfdopbSEF//+teZPn167Ico4krcy4Vx54c//CGmaXLOOedELaUhnnzySZqbm5k+fXrUUhri6aeforW1jcmTJ0ct5RXJqaeeiqaJFzJn3z7lQoB3vetd/OlPfxrvr+00PPHEE1x44deiltEwy5ev4Nlnn41aRsOsWbOaVaviuwfz85//fKwDrDvuuJ0bboj3hGScueqqq2K99+9jH/sYH/rQh6KW0TDPPvsMmzbFd7LwiSeeiPWKu/PO+wyrVsV3sfXmzZvGPR087kxWtVpl6tSp3HjjTbGMpguFAj09PcydOzdqKa8SQ7Zu3cqKFcs54ogjo5bSEGvXrsXzXObNi2cmNO6ZrCVLnqapqZmpU6dGLaUh7rjjdg444MDYNi2/SrQ888wzzJkzh0QiEbWUcfOvf/2LT3/6U2zZsuWFPL62XyYrmUxy6qmncvfd8TTGzOVy5PP5WPukfPrTn4qtfsdxWLjwzNg2bhaLRVaujO83sRkzZjBjxsyoZbxi2WWXubH8cjrC0qXLqNVqUctoiGq1ygc+8AHGmFjY6ViyZAkXXXRh1DIaZs2aNUyaNCmWARbAl7/8JZLJ5LhNVBvqnjvzzDO54oorYjvldt999/HAAw9ELaNhzjjjDFpbW6OW0RC2bbNwYXzf6ObNm8fChQujltEwd911J+ed95moZbxiOeusD7Bo0aKoZTTMxz72sdgGiZqmcdZZZ8W26XrGjBmcdNI7opbRMHfddSePPvpo1DIawnEcCoUCt99++7h/d9zlwhH2339/vv71rzN37rxx3+irTAzP81i3bl1sS56lUolarRZbr6kPfGAh3/72d2LpWBx3j524lwshvo/B+vXr+dGPfhRbQ95t27aRzWZJJpNRS2mIFSuWM2fOLrGeLo8rH/3oR1i8eDGbN2/+T4dsv3LhCOecc864xhh3Ni677DLuv//+qGU0RF9fH9/85jeiltEwN9xwQ6ybrz/ykY/G9o26XC7z17/+JWoZr1iuv/46PM+LWkZDtLe38/73vz9qGQ1z5ZVX8ve/3xW1jIYIw5ALLrggtqXaW275K7///e+jltEwy5cv521va8xfreFMVq1WY+bMmfz6179h3rz4ZbOWLVtGR0fHqw2crzJuhoeHCYIgls+d4eFhfvazSzn//M9FLaUh4p7J+uIXL+DLX/5KLJfj9vX1Yds22Ww2aimvEjN6enooFovssssuUUsZN3/84x/58Y9/xMaNG1/sdbv9M1mJRIJzzz2X66+/rtFTRMr8+fPp6+tjaGgoaikN8fDDD/Pb3/42ahkNIaXkO9/5TmxNYa+55hpuv/1vUctoiHw+H9sA67+BCy+8KJYBFsC1117LLbfcErWMhujv7+fSSy+NWkbDXHbZZSxZsiRqGQ3R09NDtVqJZYAF8OMf/5hJkyY1/LqdkG3sBz/4Qa6//nrS6Xgu27zxxhtYvTqek2KTJ08e84LKnQ0hBFOnTsF13ailNMTZZ5/Nqae+O2oZDXP22WczPDwctYxXHBs2bOAzn/l01DIa5kMf+hCnnHJK1DIaRDJpUnyX0++99950dnZGLaMhnn32WW699baoZTTExo0bcV2H++67r+FzNFwuHOFjH/sYuq5z7rkfbljEqzRGqVQiDENyuVzUUhrC9/1YfqsfHBzk+uuvY+HCD0QtpSEWLVrE7rvvHsv1QHEuF5bLZdasWc2ee+4VtZSG+MlPfsyZZy6MZT9iXN9rAAYGBkilUrG1Pogz+++/H/vuuy/33HPPSx26/cuFI5x//vn85je/IZWK3wsP4Ktf/coLWeTHgp/+9CdjefB3Sh555BHOPvusqGU0hG3bsX3DBpg1a1ZsfcriTlw9ysIwxDStWAbmACef/C5WrFgRtYyG+MtfbubKK6+MWkZD/O1vf4vtgNz69esBJqx/wpksgE984hOEYchHP/qxCYmJgjVr1jBlypRYvnnEdRQcGJ2wMk0zYiWvPD7zmU9z4olv57DDDotayriJcybrlltu4YknnuCCCy6IWsorDsdxME0ztouV4/peXy6X6evrY8aMGVFLGTfHHnssb3rTCfz4xz8ey+E7LpMF8NnPfpbf/va3bNmyZXuc7mVl9uzZPPXUU2zatClqKeNGCMEvf/kLli5dGrWUcWOaJo899iirV6+OWkpDXHDBF7jttnj2GXz729+JZYAVd970pjfFNsD6/e9/z3e/+52oZTTEM888w7PPPhvLAOuRRx7hmmuuiWWAtXLlStauXRPLAGv16tVs3LiBD3xg4i0h26Xm0dXVxTnnnMPPf345X/nKV7fHKV9Wli9fjqaJWO4TW7BgQSxNMUHtAbTtePYZfOYz55HJZKKW0RCLFj2O5/kcdNBBUUt5RXHffffS3t7BggULopYybt75zndSrVajltEQAwMDlMvlqGU0RGdnZyyDQ4AtWzYzMDDIHnvsGbWUcfPFL17AN77xDfbaa+L9k9utseT8889n3rx5fOQjH6G1NV5O3qeddhpSSlzXxbKsqOWMi0MPPYzu7u5YNnbGeUWEEILHHnssloGK47ixNcSMM9VqLbb3+yOPPMK+++4btYyGeN3rXhe1hIaoVqtkMulYZoIcx+GII46MWkZD/O53v+PRRx/l7rvv3i7n224hciaT4cILL+STn/xkLPfS/exnP+Oqq+LZXPiFL3w+lmU3KSXveMc76O7ujlrKuBkaGoqtV9YhhxzC4YcfHrWMVxzHH388e++9d9QyGuKGG/4cS8uVZcuW8YEPxHPX6NNPP83Xv/71qGU0xA9/+AOuueaaqGWMmyAIuOaaP/CHP/yBdDq9Xc65XRrfRwiCgAMOOID3ve99vPnNb5mYspeZcrlMMpmMZWo2rk2RAJs3b2by5Mmx1R9HVqxYwY9+9CN+8pOfRC1l3MS58f3009/LJZd8m66u+Po1xY0gCOjp6YntUuu4vrf7vo/nebGz+zj55HexcuVKhoaGxnu/79jG9xF0XefSSy/l4osvplAobM9T73DS6TTPPLOEP/zh/7V33vFNVW0c/96kG1payiirbEQ2pSBDlrwoQ2TIVGTvraCiKMgUZAqCssqQvTfIkGGhKLNsKG0phS6605kmue8fpZVtC03vDZzvBz5Jc5Nzfje5ufeXc57zPJZXX0mSJCZO/OFFxStVi7OzMydPnlRaxkuxaNFCi6wq7+7uzldffaW0jDeOiRMn4erqqrSMbHPkyBGLrS7x118nLPI9v3btGnPnzrFIg7Vs2TLu3LljcQbrwYMHBAQEsGDBghx933N82KZevXq0bduWJUsW53TTZid/fleKFbO84HeA99//wCKTkur1eostWNyoUSNKlSqltIxsY2dnh06nE7mycpHU1FTS0vQWmbLk7bffpk6dOkrLyDZGo5EdO3YoLeOlcHNzs9gp/eLFi1uksf3ooza0adOGHj165Gi7Zpkb+/HHH9m5cycREeHmaN5sFCtWjAYNGnDx4kWlpWSbevXqce/ePYurB+ji4sL06TOUlvFSVKpUGaPRqLSMl2Lq1KkkJCQoLeONITIykrlz5yot46WQJIkKFSooLSPbaLVa5s372eJyIOp0OmJiYqhVy1NpKdnm/PnzfPDBB7i4uCgtJVscP36c5ORkJk+enONtm8VkOTs7M3fuXPr162dxF/3Y2Fh+/fVXi7x4enktz8xSa0mcPn2aSZMsL/VHREQEQ4cOUVrGS7Fu3TqLHPm0VIoVK8avv/6mtIxsYzKZ6NHjM4tM3zBmzGiuXbumtIxs4+d3izVrLG96NiUlhUWLFlrcsXLnzh1Gj/6CTZs24e7unuPt52jg+2MvkGU6depEqVKlGDzY8i5ElpgSwVLR6XTExcVZZJ4yS2Xr1i1UrPg2lStXVlpKtrDUwPczZ84QGRlJy5YtlZbyxhAYGEiRIkVEzb9cQJZljEajRV4ze/bswc2bN3nw4MGrNJM7ge+P9ShJ/Pbbb6xbt45794LN1Y3Z+Oyz7haZFuGHH37gr7/+UlpGtnB0dATg9u3bCivJPn/++Sdnz55VWka2yZ/f1eICUy2ZPHny4OycT2kZ2eb48eP4+PgoLSPbXL9+3SKLKu/atcsia/2dPXuWESOGKy0j2yxe/Bv3798367XerLazQIECLFmyhF69erF9+47Mi6klsGjRrxY3rwzQu3dvihQporSMbHPhwnn0ej3lypVTWkq2sLOztchg5qZNmyot4Y3CErO8Q3oxdEtL0Azg4+ND2bJlKFy4sNJSskXz5s2Jjo5WWka28fT0tLhzd3R0NLNnz2bcuHFmDZ0w23ThowwYMIDk5GQmTPjBopakHj58mJiYGDp16qS0lGxx5swZnJyceOutt5SW8kZgMpksLr/aoUMHOXz4MDNm/KS0lGxhqdOF/fv3Z8CAAdSuXVtpKVlGlmVkWba4Y9tSuXjxIlZWWosrQ+Pl5UWlSpWoW7eu0lKyjNFopH///tSq5cGcOXNyosncny58lHnz5nHhwgWOHz+WG93lGGXLlqV69VevXZTbRESEW+SvoWXLlrJ9+zalZWQLWZZ5772mFvd+N2zYiIkTJykt443h559/zpE6aLlJYGAgHTq0V1pGtlmxYgWbNm1SWka2iYqKIjIyUmkZ2cbT09PiSv8MHDiQ06d9mD59utn7ypWRLEhPrtaoUSNWr/7dokZYkpOTOXLksMVlsJdlGZ1OZ1EryO7du0e+fPksaloZICEhweKKRRsMBry9/6JJE8uaNrTEkSyj0ciJEycscorWEo/t6Oho9Hq9RWXWj4uLw8nJyaJmemRZZufOnbRq1cqippTPnTvH4MGD2L9/f07mf1N2JAvSYxLmzJnDF198blH5eWRZ5sKFCxgMBqWlZIt9+/Yya9YspWVki+LFixMUdIeQkBClpWQLnU5ncYsNNBoNGzZssMhUJZZGYmIiu3fvUlpGtjly5IjFpeAJDAwkMjLSogwWwHfffcfp05a1wCAlJYXLly9ZlDEMDw+ja9cuTJgwIdcS7ObaSFYG/fr1IzY2lh9/nG5Rc/3h4eHY29tbzMiQwWBAo9FY1HsM6UP9FStWpF69ekpLyTK3bt3kxIkT9OvXX2kprz2WOJJlqcybN5fOnbtYVN2/Q4cOERsba3FxtAaDAa1WazGGJTIyEq1Wa1GLw/R6PQMHDqBEiRKsXbs2p5tXfiQrg4ULF3L//n2LqxG4atUq/v77b6VlZBkrKyvCwsIYO3YsWTTSqqB3797Uq1fPojRXqPCWRRqspUuXcP78eaVlvPacOHGCDRvWKy0j24wa9blFGSxZlmnevLlFGSyj0cioUSNJSEiwGIMFcPToUYuLe/vf/5oREBDAqlWrcrXfXM8cZmtry7Zt26hTpw5Vq1alWrXquS3hpfjyyy+RJInk5GSLyS9UuHBhPvrIsmLJAKZMmYKnpyctWrRQWkqWWbRoIUWLFqNdu3ZKS8kytWp5WmS6D0ujVKlS5M+fX2kZ2WLVqpVotVZ0795daSlZZv369cTGxjBkyFClpWQZSZLo2LET+fJZTg615ORkOnXqZFE/hLdv34ZWq2Xr1q25njA116cLMzhz5gytWrVi5cpVVKxYMaebNwshISEMGTKY7dt3WMyvDlmW2b17Ny1atLCY4MSwsDBcXV0tKv9USEgITk5OFhUkLMsySUlJ5MmTR2kpWcYSpwsTExNxcHCwmHMGpAdip6amUqhQIaWlZJnU1FTi4+MpWLCg0lKyhE6n4+TJkxb1Y1Kv1/PRRx+xceNGizGGv/yygPnz53Pp0iVzVrhQz3RhBrVr12bBggUMGTIYOzvLKOBZtGhR1qxJn8u1FBcvSRI3b960qBQDbm5unDnzD35+fkpLyTJFixbl8uXLFrVA4vDhQ3z//fdKy3jtGTp0KOfOnVNaRpZJTEzE39/fogzW5cuXuHbtmsUYLICoqEj8/S2nyoUsy9jY2LBlyxaLMVhBQUGsX7+eL7/8UrESYopGRXft2pWhQ4fSqlUrfH192bFjBwB79+7hxo0byLLMnDmzgfQyCXv37gVg+/bt+Pv7k5qayi+/LADA19eXQ4cOAbBx40aCg4PR6XQsXrwYSE/7n5Gn6/fffyc8PJyoqChWrFgBwKlTJ/HxOQWkJ1eLjo4mLCyMNWvWAHDs2FHOnTtL3rx56dmzB2vXruXu3buZ89KHDh3k0qVLACxYsIDU1FRu376tin368ssv2bVrF3fv3n3mPgH89ttvJCQkqGafHjyIZNOmTS/9OSmxT1u3bsHLy8tsx15O71Nqqp45c+Yo+n3K7j5lGG81nyOe3KdWrVpRq1YtVZ8jHt2ny5cvM3PmTLMeezm9T0FB/2pS8zkiY5+uXr2Kk1M+rKyszXrs5eQ+zZgxnZUrV7Jy5QqzHXs5uJ1ovgAAUbRJREFUuU8rVnjRvPn/GDFiRK7kw3oeii89+/LLL2nYsCGzZs0kYzTd2toajSb9D1vb9FEujUaDjY31w+1WaLXp0jOmwLRabeZcq42NdeaqOltbm8zXZxzQNjY2SJKERqPJnJLSaq3Qaq0e6V+DJEmZ7VtZWaPRaAHw9KxNixYtnvF67WPta7VarK0fbVO5ffr779McPHjwufv0qCY17FPbtm0pW7YsaWlpL/055fY+zZo1m4IFC5j12MvJfbK1tWHdunVIEop+n7KzTxk6lP4+ZXWfEhMT8fX1fahf3eeIjH0qXbo07du3f6XPKTf3Sa/XU79+/cyRCjWfIzL2aefOnWzdulXx71N29qlNmzaPhZ2o9RxhbW1FcnIy69ato0GDBnz77bcoiWIxWY9iNBr5+OOPyZs3LxMm/GARaQeSkpL48ssvmTVrlkUEwhuNRrRaLbIsW0xsyNy5c3B1daVHj55KS8kS4eHhzJgxnTlz5iotJcvMmTObfv36W0xqEkuLyQoPD2fr1q0MGTJEaSlZwmQyMXjwYGbPnm0x8YXz5s3FxcWFnj17KS0lS2Rcc00mU6ZJUDMxMTGMHz+euXPn5nrQ+MtgMBioWbMGNWvWxNvbO7eud8/tRBUmC9JNS8uWLalcuTJffDHaIoyAj48PdevWtQitAMHBwYwb9y2rVq22CM3JycnY2dlZhFZIN7JnzpzhnXfesRjNloalmSxLw2g08s8//1hUnjqTyURaWlrmaIeaSUtL45NPurFkyVKLyTFlMpkyz2tqx2Aw8NVXX3HvXjBHjhzB2dk5t7pWX+D7kzg4OLB7927Onj3LkiWLLSKwvF69epw/f45ly5YpLSVLFC9enEmTJluMAbC3t+eff/5h27atSkvJElqtlqpVq3Lnzh2lpWSZtWvXsm6dZeWssyR+++03i8r2HhAQQM2aNZWWkWV+//13rl27ahEGC9KnxWbOnGkxBmv+/PncunXLIgyWLMs0btyYv/8+zV9//ZWbBuuFqMZkATg5OXHgwAEOHDhgMclK3d1LUr26ZeT6kiSJUqVKsWjRIoKCgpSWkyUKFixIiRLuSsvIMr6+Fy0q8WSzZs344IP3lZbx2tK+fXvq1auvtIwss2zZUvz9/ZWWkWVKliyJq2sBpWVkiStXrvD7779TqlRppaVkmZo1a1pEQlqj0cikSRMpXLgQx44dw8HBQWlJmahugjV//vwcOnSIRo0aYWNjQ8eO6s7eW7BgQQoWLMjKlSto2LARZcuWVVrSf/LWW2+p6iB8EWXKlKFYsWLcvn2bcuXKKS3nP6lfvwH16zdQWkaWyZ8/P3fu3LGYC5WlERsbaxHHbQYzZvyktIQsc+vWTerXr28RcUIAzs7OlC5tGQbr0qVL3Lx50yKy58uyTIcOHfD3v01ISIjqRglVNZKVQeHChfnzzz/x8vKymBGtYsWKWYxxadasGRqNhmPHjiotJUtcv36d5cuXKy0jy+zevctipoh0unimTJmstIzXEpPJxDffjLWYItzr1q3j6FHLOCcAzJs3j+DgYKVlZIlDhw6SL18+3n33XaWlZAknJ0eLKLJtNBoZN24cGo3EqVOnVGewQIUjWRkUK1aM48eP06xZM/R6PT169FR1LFHz5u+TmprK3LlzGDJkqOpjBHS6eC5fvkKTJk2VlvKf1KhRgxo1aljMysiKFd+2mF/Xrq4FWL36d6VlvJZoNBq2bduutIwsU6tWLYtYKQ3poxeLFv2qtIwsIcsy58+fp3r1Gjg6Oiot54XodDqWL1/G8OEjVD+tKcsyvXv34p9//smsEqJGVDmSlYGbmxtHjx5lx44dLF++TPXB8NbW1ri5uVmEEShVqjTDhw/H39/fIrKU63Q62rZtS2pqqtJS/pPy5cuTJ08eYmNjlZaSJbZs2ZKZ1E+Qc/j4nGLfvn1Ky8gSDx48oGDBgri7qz/+MT4+nrZt26LX65WW8p8kJydz9+5dvv56rEVk0LeysqJIkaKqT6OUkpJCr149MRgMBAYGqtZggcpNFkChQoU4evQoBw8eZO7cOaoeetdoNHTr9gnh4eEWM721cOEvFlG+xtHRkV9//VX1I4QZeHkt5/z580rLyBJubm4WkxPJknB2drGYMi/e3t5s2LBBaRlZwsnJiV9//dUiarH6+vpaxLUgfWRwIQkJCXTp0kXVAwVpaWkMHDiAM2fOcODAAYoXL660pBeimjxZ/0VcXBzt2rWjUKFCTJjwg6ovtjExMZw4cYK2bdsqLSXLxMbGqmbJ64tYtmwpHTt2sgitlkRGslq1Y0l5sizlPbUkQkJCOHbsGJ988onSUv4TSzmnQrrJ2rx5M61bt1Z1wfjw8HA6depIjRo12Lx5s5rioNWfJ+u/yJcvH/v378dgMDBixHASEhKUlvRcXFxcaNu2LSdOnGDnzp1Ky/lPbt68yfDhw5SWkSUcHZ1IS0tTWkaWmDVrFtevX1daxn/i7++fWUZFkHM0bdqEqKhIpWX8J6dPn2bJksVKy8gSRqNR1SYgA5PJRK9ePQkJCVFayn+ydu1aLly4QOfOnVX93sbGxjJgQH/0ej2bNm1Sk8F6IRYzkpWB0Whk6NChnD17lr1795KQkKi0pOdy+/ZtEhISqFGjhtJS/hO9Xo9Go0Gr1ap6qBjSRwpTUlIoUqSI0lJeyPnz5yhduowqV7w8itFoxGAwqHp0OANLGslKSUnB1tZW9d+niIgIwsPDqFq1mtJSXsjdu3fJnz+/6qe2DQYDGo0Gg8FgEVOaPj6nKFmylKrzYZ06dZJ+/foxZMgQZs+ercaYMcsfycpAq9Xy66+/0qZNG+rWrcutW7eUlvRcypUrR40aNVi8eDF///230nJeiI2NDVOnTrGIQN3du3dlVndXMx4etXjwIEL1I29arZZz584SFhamtJTXhjt37nDt2lXVG6yEhASSkpJUb7AA9u3bx5EjR5SW8Z+sX7+ehQsXqt5gHTp0kPXr11GvXn1VG6xz587x5Zdf0qRJE+bOnatGg/VCLGOd+RNIksSECRMoW7YsPXv2YM2aNZQtq96Ef3Xr1lV9cB7AyJGjcHJyUn2qhIyC0ZYQ8/Lrr78ydOgw1SekvH79Bk5O+SwiN44lEBERQUBAAB4etZSW8kL8/PzYtm0rkydPUVrKCzEajQwaNEhpGf+JLMt07dqVlJQUpaX8J5UrV0Gn0ykt44WsWrWSyZMns2HDBrp06aK0nJfCsizhE3Tv3p2tW7fSo0cPDh8+pLSc51K9enVcXV354ovPVb2Sz9nZmZSUFDp2/JjERPVOw0J6jbVPP/1E9Wk95s6dp3qDBdC3b1+qVKmitIzXhjp16tC1a1elZfwnNWvWtAiD1a5dOyIj1R3fFhkZSZcunZEkSdX5sM6fP8f48eMpWrQob731ltJynonRaOTLL8fg5eXFxo0bLdZggYWbLICGDRvi7e3NnDlzmDJlsqpzPvXvP4AyZcqoWqODgwNz585TdQAkQOnSpVm4cKGqR9wy+OKLL1RfK/LOnTt88cUXSst4bRgwYABRUVFKy3ghly5dYtKkiUrL+E+0Wi0rV66gQAF1l34qUKAAs2bNVnUiYoPBQOXKVejevbvSUp5LamoqQ4cOYdeuXRw/fpzOnTsrLemVsHiTBemxT6dPnyYsLIxBgwbi5KTOXxFvv/02AJ06dSQiIkJhNc/H3d0dH59Tqj4BS5KEq2sBpkyZwr1795SW80L69OlN4cKFlZbxQooUKUKfPn2UlvHaMGjQINUveChbtiydOqn7Anb9+nXmzZun+tqaX345hitXrqg6mWtAQAA9evTAxsaGChUqKC3nmXh7e9OgQX0cHR2JiYmxiFrA/8VrYbIgPW3Cnj17qF+/Pp6enly5cllpSc9Eq9WydOkyChUqRExMjNJynkuNGjXp0aOH0jL+kyZNmqg+F02VKlW5cOG8qjNU29raUrBgQYvJUq9moqIiKVnSXdUBujqdjps3b2T+8FMrbm5u1KtXT2kZ/8mAAQNVO/UG6Suyy5Qpw/z581U7+v/336cZM2Y07u7ubN68WdVTrtlBvWeBl0Cr1TJ16lTmzJlDv3792L59m9KSnkmBAgVISkqie/dPSUpKUlrOM7G3t6dUqdLMnTtH1YWk3333XSIjI/HxOaW0lBeyb98+1a/eW7VqJefOnVNahsVz4sQJNm/eorSMFxIcHMzBgweVlvFCjh07SkpKCu+8847SUp7L9u3bWblyBeXLl8fa2lppOc8kKiqSHj16YDAYVDnlKssyX331Fd27d2f16tX4+vqqfkFTdrC4PFlZ5erVq7Rv356mTZsyYsRI7OzslJb0FHq9Hmtra86ePUvt2rWVlvNM/P39KVy4sKpz05w/f57bt2+rfu4+47um1l+SloAl5clSK2pfPZzB8uXLadSoEeXLl1daynOJiooiKSmJEiVKKC3lKWRZzry26PV6VaaU8Pf359tvvyE1NZVJkyZZclLk1ydPVlapXLkyZ8+eJS4ujk8+6UZAQIDSkp7CxsYGnU7HypUrVFv4uGzZstjb2zNw4EDCw8OVlvNMPDw86Ny5s6pzpgGMGDGCCxcuKC3jucTFxTF79iylZVg0siwzZcpk1X6fAY4cOcL48eOVlvFcZFnm1q1b9O3bV7UGKyAggM8/H0X+/PlVabAgfUp4xQovUlNTVWmwbty4QbduXQkODubvv/+2ZIP1Ql5bkwXphUTXr1/PkCFD+OSTbqoscePk5MTChYswmUx4eXmpsgC2Vqtl2LChqq4in5aWxqRJE4mOjlZaynP59ttvVZ3938HBgaJFi6o+LYaaMRgMlC1bVtXZ85s2bcrQoUOVlvFcgoODmTnzJ1Ufh+7u7vTt20+VI4J6vZ5ly5Zhb2/PokW/qu5YlGWZPn1606FDe37++WfCw8MtpkTOy/BamyxIn5oZOHAghw8fZvHi3/jxx2mqjINKL22Sptpg2apVqxEWFkbfvn1UaQStra1Zs2YtLi4uqvx8IX0F3+HDh7h7967SUp6JtbU1Xbt2U32GejUjyzLduqm3ePHNmzc5deqUale7JiYmUqJECZYuXaZKA5OamkqPHp+RlJSk2rxyGo2GtLQ0TCaT0lKe4vr16wwdOoR79+4xd+5cVaeSyCnUeUU3A9WrV+fs2bOkpaXx8ccd8PX1VVrSY+TNm5cBAwYSExND3759VHmhc3NzY8yYL9Fqtar9lblp0yZ++eUXpWU8l/h4nWpNIMCSJUtYvNgyigWrkR9/nMamTZuUlvFcEhMTVJ3le/LkyRw+fFhpGc9ElmVsbW355ptvcXJyUlrOUyQmJtKrVy/0ej2DBw9W3QjW33//TYcO7QkNDeXKlSsMGTJEaUm5wmsb+P4iNm/ezLBhwxg6dCjffvstQUHqGVmQZZmrV69SpUoV4uLiyJcvn9KSnuL06dNs27aVn36aqbSUp7CEQtdpaWmkpqaqcjFBxmIMtb53ag98l2WZtLQ0VcbA6HQ6HBwcVLtyS5Zl9Ho9VlZWqtQ4cOBARo0apcq0FxnXiitXrqhuhC01NZWWLVuQmJiIl5cXH330kdKSzMGbF/j+Ijp16sT58+f566+/aNiwoaqycUuSRJUqVYiNjeWTT7qpMreSp6cno0Z9jslkUt3UoY2NDZIk0bVrF9UmfF248Be2b9+utIxnYmNjw6ZNmyyi9praiI6OZs+e3ao0WABeXl6sXbtGaRnPxN/fnz59emNjY6M6g5WWloYsy3z//fdUrFhRaTlPodPp6NYtvV6i2gzW0aNH6dixIzY2NuzYseN1NVgv5I00WQDFihXjjz/+oGvXrnTu3IkDB/arag7b2dmZbdu2Y21tzb59+1SlzcrKiqJFi7Jq1SpVTi1ptVpmzZqt2kD9oUOH8dlnnykt47lERESQkJCgtAyLIzExUbUrcCF9data48XKlCnDpEmTVTmCOmPGDHbv3k3x4sVVpS8tLY0//vgDR0dHtm/foao0RQaDgV9++YX+/fvxySfduHXrFu+++67SshThjTVZkB4gOHLkSLy9vVmzZg39+/dDltVjZmxtbUlOTub06dOqHNHq1q0bPXv2JD4+XnUxZCVKlODcubP89NMMpaU8hbW1NT4+PixbtkxpKc9k+PDhqkxaqHZKlChBv379lZbxTH7++WeuXr2iyoSZ48eP59atW6pLhZCcnExSUhIjRoygVatWSst5iuTkZE6ePElaWpqq4q/27dtHrVoe+Ppe5MqVK3z33XeqMqe5zRttsjKoWLEi3t7etG3blrp167J79y7VTIM5ODgwadIktFotQ4cOUVXRWTs7O/LkycPChb+wZ88epeU8RYUKb9G69YdKy3gmpUqVom5ddWay9vX1ZdSokUrLsDj69OnNnTuBSst4JvXr16d4cXWZmAw6dOhAqVKllJbxFOvWrWPNmt9xcnJSVdHn4OBgvvjicxwdHZk0aZJqjHNcXBzff/89Eyf+QO3atTl48CCVK1dWWpbivJGB7y/Cz8+Pvn37YjQa+f778apKhnfu3Fk8PGoRFRWlqpGGtLQ0rKysCAwMpHjx4qqLSVm0aBH/+9//VFcUNTk5mYsXL1CvXn2lpTxGcnIycXFxuLm5KS3lKdQc+H7v3j0KFy6smoteBn/99RfvvPOO6r6X58+f58qVy/To0VNpKY+RlJREZGQkxYoVA1BNjJgsy0RFReHi4oKvry8eHh5KS8rk6tWr9O3bh5SUFK5evarqQtlmQgS+Z5Xy5ctz7NgxPvnkEz77rDteXstJTk5WWhYAtWp5AjBkyGBVBetnrEbz8lrO5cuXlJbzFJUrV8bV1VVpGU+h0+nYtWu36tJh2Nvbk5SUxL1795SWYjEEBAQgy7LqDJbRaGT79u2qzEDv5uZGhQrqK6p8+vRpNmzYgFarVY3BArhy5TLffDMWrVarGoOVkJBA06ZN6NatK9OnTyc2NvZNNFgvRIxkvYCQkBA+//xzzp49y7hx39G4cWOlJQHpQYVWVlZs3rwZT09PSpcurbQk4N+aaAcP/kGdOu/g7OystKRMdDodXl5eDBs2TFUnTkhf4qymmAqANWvWULhwYZo3b660lMdQ60jW9u3b0Gi0tG3bVmkpj6HGYys1NZVff13E4MFDVKUtPDycGzeu07hxE1XVd7x27RqBgQG0bv1h5rlfaYxGI6NHf8GZM2epXLkSU6dOpW7dukrLUhIxkvUyFC1alI0bN7Jw4UKmTJnMt99+o4q0ABlfMq1Wg52dHXq9XhWjIRknpdu3bxMXF6ewmsexs7PD1dVVFe/ToxiNRtq1a0tkZKTSUh6je/fuqjNYaqZ9+w6qM1gBAQF8+umnqjvmAQoWLKS66cvo6GgCA9Nj6tRgsEwmU2bONSur9BFSNRis27dvM2jQQA4ePMj48d9z5MiRN91gvRBhsrJAixYtuHLlCuXKlaNNmw/Ztm2rKlb7dejwMUWKFGHu3Dls3bpVaTmZDBkyFHd3d376aQbBwcFKywHSpzS7d+/O7du3OXTooNJyMtFqtWzZslVVMXYZjBw5gqgodZk/NRIQEMD48d8rLeMpypQpw6pVq1RhGDLYtWsXYWFhfPrpp6rRdevWTX75ZQFvv/02vXr1VlpOJsuWLWXVqpWUK1eODz74QGk5pKSkMGHCBFq0+IDGjRsTHx//xmRtfxWEycoiDg4OTJ06lVOnTnHs2DHatv2Io0ePKi0LgJEjR9GmTRv8/f05ffq00nKA9F+CHh61KFCggKpyfAHo9epKN5EnTx5WrFiBj4+P0lIeo2fPnjg45FFahuopWLAgH3/cUWkZj/HHH3+wdesW8uRR1+eXkpKiqvqsJpOJwoXdqFatutJSMvnzzz8JDQ3lk08+pWfPXkrLQZZlvvnmG+rUqU1qagqHDx9mwoQJqprqVTPqOdothAoVKrB3717mzZvHzJk/MXz4MAwGZS/adnZ22NraEh0dTWhoKJAet6U0//vf/7Czs6N3797cvn1baTlAerqO1q1bs3fvHgICApSWk4mHhwdlypRRWsZjVKtWnbCwMKVlqJ6IiAiqVq2qtIzHqFSpEpUqqWf5/OXLlzh27CidO3dWTT6s8+fPMXLkSPLly0ejRo2UlpN5zg4JCSE6Opq8efMqvpBiyZIlfPZZd86c+YfevXuzefNmmjVrpqgmS0OYrJekVatWXL58mffee48GDRqwaNFCYmNjFdVUu3Zt2rdvz9WrV+nfv5+iWjKQJInp06dTtmxZgoKCVBMfYjKZFDfHj1K9enU0Gg3e3t5KS8kkLCyMyZMnKS1D1ZhMJr75ZqyqMuT/+eefODk5qarGntFowmhUx4i2wWDg3r171KhRk3HjxiktB0gfLerSpQv37t2je/fuiueXCgoKYvz48cyZM5uSJUvi5+fHL7/8oqgmS0WYrFfAxsaGMWPGcOXKFRITE2nR4gOWLVuq+HLpypUrM2vWbEwmE5s2bVI8G3uRIkWQJIlp06Zx69YtRbVk0KbNR5QtW47ly5eTlJSktBwAYmNjuXTJV2kZmRQvXhwvrxVKy1A1Go2GTZs24+TkpLSUTM6ePaOqY3r16lVUr15dNSMgFy5cYP78n9FoNIrngktJSWHr1i1A+qhR8eLFFdWTlJTE7NmzaNbsPRwc7AkLC2PDhg2qCLi3VITJygHc3Nz47bffOHHiBNeuXaNVq5acPu2jaCySq6sriYmJ3LkTiEajUUWur99++4233nqLnTt3qmKVpkajQZbVU+S6fPnyDBkylAcPHigtJZO///6bNWvUWVRYDSxevJirV68qLSOTBw8e8NVXX1OkSBGlpQDpq2fVkg7h7t27/PHHH9SuXZsZM35SWg7JyclIkoSfnx96vV7RXH4Gg4ExY0bj6VmL6Ohojh8/ztKlS1WZX9DSECYrB3n77bfZuXMnq1evZv78+XTp0pnAwADFpsgcHR356quv0Wq19O7dCz8/P0V0ZJBxoo2MjMw8+Sqtp1+//siyzNy5c1RhttLS0ujTpw/R0dFKSwHS05hUqlRJaRmqpVq1qqopRB4UFMTQoUMU/15Bei6sWbNm4eDgoJrg7bS0NGJi0r9XSpu+M2fO8Pnno7C1tWXs2G8UCyKXZZmRI0fQosUH3L9/n7Fjx7JhwwZVxKi9LohkpGZClmU2b97Md999R7FixRg0aDCenp6K6UlMTCRPnjzs3buHggULUadOHcW0ZPD999/RqlUrxcvKpKamsmPHDjp37qz4yRfSf/1rtVpMJpMqVmIlJiZiMplwdHRUWoqqkpHGxsZiZ2eHnZ2d0lIyj5WMY0dpDAYDW7ZsplOnzorr2b9/P1evXmXMmDGK6gA4evQoGo1Eo0aNSU5OxsHBQREdsizzyy+/cOzYMYKC7tC7d29mz56tivOfhSKSkeY2kiTRuXNnrl27Ro8ePRg79muGDh3CpUvKlJ3JWMqdP78rzs75SE5OVnzl2MCBg/DwqEVISIii05m2trZ06dIFP79b/Pzzz4rpyECr1bJ69SqWLl2qtBQA5s2bx7Fj6khXoiZ2797N8uXLlJYBwE8/zWD37l2KGxpZlpk+/UfCwsLo2rWbonp0Oh2RkZG8++679OjRQzEdkF7U2WAw4OzsjItLfiRJUsxgHTlyhK5du7BgwXwGDRpIVFQUc+bMEQbLTIiRrFxCr9fj5eXFlClTqFWrFv37D1B09c+pUyfZu3cvU6dOU0xDBnPnzqF8+fJ8+GEbRXXEx8dz8eJFVQyVx8TEYGdnh729vdJSVBNTA+oayQL1vDfx8fFoNBry5s2rtBSOHDlCgwYNFB/hW716FSaTSRUJRocPH87AgQOoUkW5VB++vr6MGDGc8PBwli5dSvfu3UVAe84hRrKUxsbGhkGDBuHn50fTpk3p378fgwcPUqygcv36DZgyZSpxcXF069ZN0Qz2o0Z9TuvWH3L06FH27t2rmA4nJycaNWrE4cOHmTdvnmI6AFxcXNDr9Ywb963iq0MlSWLRokXcvXtXUR1q4urVq/z++++KG6ykpCTGjh2LjY2N4gZr0qSJnDlzhmbNmilqsDZsWM/Zs2f57LMeihosnU5H165dSE1NZf78+YoZrHPnzlK1ahV69+7F119/zYMHD+jVq5cwWLmEMFm5jL29PaNGjcLf358PP/yQ4cOHM2zYUM6ePZvrWiRJwsnJiUmTJmFjY8Pu3bsIDw9XRIckSRQrVozixYtjNBoVzTv0zjvv0K5dO0wmk6IrRJ2cnGjSpIkqToZvvfWW4iMTaiJfvnyqKMxuY2OTmfRXKQwGA7Is063bJ1SrVk0xHTqdDlmWKVWqNIULF1bMAN+9e5eDB//A0dGRyZOnYGtrm+taZFlmy5YtVKtWlbFjx9K/f38CAgIYPnw4zs7OuarlTUdMFypMamoqq1ev5scff8Td3Z0+ffpSv359RU4QS5Yspl279lhZWWFtba1YoPOxY+kjWjNnzlKk/wyWLVuKJGno27evojpOnTqJnZ09Hh4eiuqIiorE1VXZGotqmC40Go3ExcWRP39+xTQAeHt7kzdvXmrUqKGojpkzZ1K2bBk6dPhYUR39+vVl+PARVK+uTImcmJgYrKysiIyM5NSpU3z66ae5rkGWZcaNG4e39184OTlRvHhxdu7cqVj81xvEcy/YwmSpBIPBwIYNG5g6dSqOjo58+eWXVKtWXZFRjE2bNhEREc6wYcMVizlJTU1Fr9ezceMG+vbtp4iGxMREID2tgr29vWLLrI8fP469vb2iK0JlWaZNmw/x8lqhaMoCNZisW7du8cMPP7Bu3TrFNEB6Zvd8+ZyoVUuZVcsZo80Gg0Gx74fBYGDZsmX07p0+LaiEhoxz5JQpU6hTpzbvv5/7xZxTU1MZMKA/8fHxREdH895777FixQrFF0K8QQiTZSmYTCZ27tzJ7NmzCQkJ4fPPP6dx4ya5XuhVlmXu3bvH119/zdq1axUxOVFRkezff4Du3btnpqBQgrlz51CsWHE6d+6sSP+QflycPHmShg0bKqZBDUHeajBZoOx7Icsy3t7evPvuu4p+Hr/99hv29naK5cFKTEzEwcGBFStW0KlTJ0VG3g0GA506dcTLawXOzs65/nn4+/vz66+LOHv2LHFxcUyfPp3Bgwcr/j19AxGB75aCRqOhffv2eHt7s3btWo4fP06zZu8xe/asXM2SLkkSxYsXZ+bMmZmBzxnFp3MLV9cCdO/enZSUFDp06IBOp8vV/jMYMWIknTp14urVq0RGRiqiISUlhe3btylaLkWv1zNp0kRVJG1VipSUFCZNmqhows+YmBh27tyhWBH4e/fuERAQQP/+/enRo6ciGiIiIujSpTMmk4k+ffrkusEKDAxkxYoVWFlZsWDBL7i4uOSqsdm/fz/ff/897dq15fjx4+zcuZP4+HiGDBkiDJbKECZLxdSrV48tW7Zw+vRpNBoNrVu3YsqUycTFxeZK/xnB6LIsU7BgQZydnbl16xY3b97Mlf4zsLOzY8eOHTg6OrJmzRpCQkJytX+tVoskSfj4+ChWQsXBwYE5c+YiyzJBQUGKaLC1taVq1aqKXdzVgNFopGbNmoolifX39ydPnjzMmjUba2trRTRcuHCe8+fPZ34vchN/f3+2bt1CoUKF2Lx5S65Ph/n6+hIcHIyzszMFCqSXnMmteoNGo5GNGzcyfvz3jBw5ggcPIrhx4wbR0dGKx2sKno8wWRZA2bJl+eWXX/Dz8+Ott96iXbt29OjxGXv27Ean02WajpiYGOLi4oD0X5sGg4GUlJTMpKNRUVGZo0HBwcEYjUaSk5MzVxRGRkZmxlkEBQUhyzKJiYlERkbSqVMndDodt27d5MaN6wQFBXH//n10Oh1RUemjO+Hh4SQnJ2dWuQcyYwQAQkNDSU1NJS0tjfv37wPpWbNjY2MBCAkJQa/Xk5qa+tQ+2dvbP2xTRqvVcuPGDfR6/UvvU0Z9wIiICJKSkjCZTJkpCp63Ty1atKBx48asWbOGo0ePvvI+vczn5O3tzbp1a3Nsn7L7ObVv34Fr167l6D5l53OSZTnzvc2tY+/RfYqICKd27To5uk/Z+ZyWLVvGX3+dUOTYO378OJs3b6Zp0/fo2LFjrh57oaGh6HQ64uPjkWWZ1NRUYmJicu3Yu337NiaTib/++ot794KxsrKifv36uXLsXbp0CS8vL1q0aMF3343Dw8OD6OhoDh06hLu7OwJ1I0yWBeHq6srYsWMJCAhg9OjR7Ny5k/ffb06PHp/x4MEDNm3axL596XmmRo/+gqioKG7dusW0aVMB+P331Rw5cgSAIUMGk5SUhK+vL3PnzgHSq8CfOnUSgD59emMymfjnn39YtGghAAsWzCdfPmdatGhJnz69+fzzUQ8LiaZnvZ4xYwbXr19Dp9MxfPgwAA4ePMi6dWsBmDx5Ev7+/kRERPDVV18CsGvXLrZu3QrAt99+S0jIfe7evcuECeMBntqn5s3fJzw8nC+++JyNGzfmyD6dO3eOtLQ0+vfvD8CJEydYvtzruft07949Tp70xmQy5cg+Zedz+uCDD5Bl2L9/H7Is59g+ZfVzSkhIoGfPnty9G5Rj+5Sdz8loNLFly9Yc3aesfk5BQUH069efKVMm5+g+ZeVzGjZsKJGRkdSqVYsbN27k2D5l5XO6ePEic+bMpmDBgpw6dSrHv09Z+Zy++WYse/fu4eeff8bT0zPXjj2DwcC8eXMZOHAA0dHR7N69m3r16ufKsffbb78ya9YsOnRoz4oVXixYMB+9Xs/o0aPJly8fAstABL5bOFeuXOGXX35h48aNtGzZkg8/bEOdOnVyZRg/I/g33XB9TtWquZcjR5ZlZFnm0qVL/PnnEb74YnSu9Z3BrFmzKFu2LO3bt8/1vvv27cPo0WMUKd6sZNC30oHvSu27j48PW7ZsYfbs2bne9/Llyx9+z/vket8TJ/7AZ5/1oFSpUrk+RfvXX3+xffu2zGn63PjcU1JSOHjwILt27eTYsWMMGjSIIUOGULWqcpniBVlCrC583YmNjWXlypUsXboUo9FI//79adiwEa6urmbvOz4+nrx583Lo0CFu3LjByJEjzd7no337+/tTo0YNTpw4TsOGjXLtZBwbG4uNjQ3x8fHY29vn6q/LjELASuSuio2NZcaMGUybNi3XDYdSJkuv1/Ptt98wdeq0XE8TkPEZ53bx54iICKytrZEkCWtr61xb3WswGDh16hSNGjXizJkzVK5cOVfzPE2c+AMtW7aievXqGAyGXNnvS5d88fY+ya+/LsLKyooZM2bQsWNHChYsaPa+BTmCWF34uuPs7MyoUaO4cuUKy5cv5/Lly7z/fnNGjhzBqVMnzZq53MnJCY1Gw7vvvkvbtm0xGAyMG/dtrqyEc3JyombNmiQkJLBr126MRiOpqalm7xfS33MHBwcOHvyDPXv25EqfGWi1WqKjo+nVq3eul93Jly8f773XVNFs+ErQsmWrXDdYiYmJ9OjRg6SkpFwP8t68eRN//fUXzs7OuWawUlNTSU1NZceO7ej1emrXrp0rBisqKoqJE39AlmW6d/+M6tWrY2tra9b9Tk5OZuPGjQwcOIAOHTpw714whw4dIi4ujsGDBwuD9ZogRrJeY2JiYli7di1LliwhKSmJvn370rBhI4oUKWLWftPS0jh8+DAtW7bk0KFDFCpUKFezMPft24fhw0fkeibs06dPExERwUcffZRrfaalpaHVaklISMDJySnX+jWZTFy+fDnXs2srMZIlyzK+vr5Ur149V0fu4uLicHJywmAw5OpKwrVr11KzZs1cn4o+duwou3fvydUpUR8fH2TZRN269di/fz8tW7Y0+0j4rl27CAwMxMtrObIsM2/ePNq1aydMlWUjRrLeRFxcXBg2bBi+vr6sXbuWO3fu8NFHbRg0aCDbt28320iTtbU1LVu2BMDKygqtVktSUhIbN240S39P8vPP86levTqHDh1kx44dudInpC9McHNzy1z9lBtYW1tz8OBBZs2amSv9ZZCWlsbcuXNJSUnJ1X6VICYmhoULf8n1kbtvv/2WM2fO5JrByjhmixcvnquG/ffff+f06dO8+25DpkyZYvb+TCYTa9euxWAwoNVq0WqtHqbIaW02gxUQEMDUqVPo2rULo0d/QVhYKEePHiUxMZH+/fsLg/UaI0ay3jCSk5PZtWsXq1ev5tSpUw/TQfSgePESZv0FFxoays6dOxk0aBCnTp3krbcqmj1eLDAwkKSkJCpUqMCBA/v58MM2uTISkZEccM6cOWbvC9JHWtLS0khOTsbOzk6x8j+5gdKB77mBTqdDq9ViZWWFjY1NrvXbu3cvRo8eTZUq5g+yNhgM7Nu3jzZt2nDhwgXc3NwoWrSoWfsMCwvj3r17eHp6Mm/ePHr27ImLi4vZ+jMajXz//XfIssyuXbvIkycPy5cvp1WrVrn6uQpyBTGSJUjH3t6eLl26sHfvXq5fv06VKlUYOXIkzZv/Dy+v5dy6ZZ5Eo0WKFGHQoEFA+rRaXFwcUVFRXLp0ySz9AZQuXZrKlSsTExPDtWvXkCSJsLAws2frbtSoERMnTiQ5OZnNmzebvT9JkrCxsWHJkiXs3Zt7sWEGg4GuXbtk5vt5Hbl//z69evXK1QzvGzasZ8OGDblyITYajWzYsAGDwcD8+QvMbrBkWSY8PByNRsPFixfQ6XR4eHiY1WD9/fffJCYmEhYWxsWLFwEYNWqUWQyWLMusX7+Orl270LRpE3bt2kWxYsW4d+8eUVFRtGvXThisNwwxkiVAlmUuXrzIunXr2LBhA/ny5eP999+ndevWlCpV2mz9nj9/Hm9vb0aMGME///xDtWrVsLOzM1t/AD179mTcuHGUK1fO7LEX4eHhbNmymaFDh+XKyjCj0YhGo+Hu3buUKGHekckM/Pz8KFeuXK7FKuX2SJbJZCIgIIBy5cqZva+0tDTCw8MzqyyY+/MzGo1IksTPP8+jT5++Zl0dm5Fy5ezZs6xbt5Z58342W1+QXrz61q2beHjUYtq0aXTs2JEKFSqYrT8/P7+HecFk9Ho9BQoUYPPmzYqkWBEogkjhIMgaJpMJHx8fNmzYwObNmylevDhdu3blnXfqmu3XpizLjB79BePGfZe5uqh0afOYO5PJhEajYfXq1SQkJDBkyBCz9PMoiYmJdOnSmU2bNufKSqlhw4YxePBgKleubPa+AHbs2EHTpk1zJYVFbpqskJAQrly5zPvvf2D2vgB8fE6xe/dupk370ex9RUVF0bt3b7Zu3ZorMV9TpkymRo0atG79oVkN5I0bNyhYsAA6nQ4vLy8mTZpsln4gPTv8jz9O4++//8bJyQlnZ2e+++47unTpIuoHvnkIkyXIPgaDgePHj7Nhwwa2bdtGxYoV6dixIx4etcxWr+vIkSMEBQXRp08fTp48Se3atc0yvJ6WlkZCQgJarZZx48Yxb948s440RUREUKhQIXbv3kW9evUpUMB8ua0yEieePn2aOnXqmH1ExMvLi2bNmlGyZEmz9gO5a7Ju3LjBxYsX6Nq1m1n7SUtLw9fXF09PT7MnvXzUOGYck+YiOTmZMWPGMGfOHBISdDg7u5jlO5acnIyvry9169Zl3rx51K9fnzp16uR4P5Be4sbHx4c5c2bj5OREs2bNcHd3Z+bMmYrVsxSogud+aa1yU4XAsrCysqJZs2Y0a9aMhQsXcvjwYbZt28aPP/5I8eLFadKkCc2bv0/58uVz7MLQrFkzIP3Cs27dOjw9Pbl16xayLPPWW2/lSB+QvirPxcUFvV7Pp59+ilarZcuWLdSsWZOyZcvmWD8ZZFzMgoPvUbeuTEpKCra2tma5oEqShNFoZNOmjZQpU8asF1KAPn36kJqaSnJyMvb29mbtK7dISEigXLlyVKxY0ex93b9/n23btlKrVi2zGSyTyURaWhp6vZ7Q0FAAsx0XV65cISgoiNatW/Ppp59gZWVlloS5vr6+ODs74+TkxKZNG3nnnXcYNWpUjvZhNBpZuXIF8fHxrFmzloQEHQMGDGDy5MmMHDkyV5OkCiwTMZIlyDYGg4GTJ0+ybds2tm3bhoODAx06dKB27TpUq1Ytxy8Uhw4dJCUlhQ8/bMPWrVtp06aNWVbQ7dixI7Mk0bVr1zINnzn46acZlCpVms6dO5utD0i/uK5Zs4auXbuaNeB2ypQpVK5cifbtO5itD8i9kaxly5ah1+vNOp2clJTEjh076Natm9mnl3777TesrLT069ffbH3s3r2Lxo2bEB4ezp07gTRv/n6O95GYmMjhw4dp27Yt69evo2TJktSv3yBH+zCZTCxfvgxv75OEhNwnKCiIzz77jM8++4yGDRuKwHXBsxAjWYKcw8rKisaNG9O4cWPmzZvHuXPn2LZtG99++w0JCQm0atUKD49aNGjQIEd+6WWcrFNSUrhx4wYdOnTAx8cHa2trPD09X7n9DNq1awfA9evXM3/t+/j44OHhkeOm7vPPv8BkMnHjxg1OnDhuNtOQlpZGTEyM2VfHff3117maMNPc9O3bF4PBYNY+jEYj0dFRmEwms01Vz549i27dPqFHjx5m+WGSmJjI1atXqVOnDqGhoURHR1O+fHnKly+fo/2cOHGCfPnyUbFiRS5d8qVNmzZ06/ZJjrWv0+k4fvw433//Hfb29mg0GooWLcr27dvN8sNR8OYgJpEFr4QkSXh6ejJt2jRu3LjBkSNHqFixIps3b6JBg/oMHTqEffv2khPnKDs7O7777js0Gg1GozHz//jx49Hr9a/ewUPefvttunfvjslkYuPGDaSmphISEsKDBw9yrA9ra2tsbW1xcXGhUqX0APWLFy/muBmytbVl5MiRpKWlMXr0aJKTk3O0/Qysra05f/48U6dONUv7uck333yDn5+f2UxjbGwsY8aMxtbWlmHDhue4wcrIUA9Qs6YH9vb2ODg45Gg/9+/fJzIykri4OLZv3w7AgAEDKVWqVI71ER8fz5QpU5BlGZPJiNFowNbWlu+/H58j8U9Hjhxh584d1K9fD0/PWuzfv4+aNWuyf/9+QkNDOXfuXK5n+Re8fojpQoHZiIuL49ChQ+zdu5d9+/bh6upK69atqVGjJh4eHjky7J6amsr+/ftp164dGzasJ0+ePLRpk/NlbbZv30ZcXBy9evXm1q1bORqHBum/pEeNGsmiRb+i0Why/AIvyzInTpygcePGpKammmVUQ6fTERISkqOxc0+SG9OFly9f4q23KpplWig1NRUbG5vMzyKnSUtLIyUlhVGjRvLrr7/l6D7Isszt27cpX7488+fPp1KlSvzvf//LsfYzWLt2Lc7OzrRs2ZLt27fRrl37HDGIqampzJz5E8HB9wgI8CcwMJA+ffpQs2ZNWrdubbYVzYI3ArG6UKAsJpOJc+fOsWfPHvbt28fNmzdp2LAhNWt60KBBgxwxLcHBwciyTKFChWjfvh07d+5Cr9djb2+fY7/idTod/fr1Zc2atURFReHi4pLjhmXQoIH069c/R6dCM0hMTKRjx4/ZunWbWYJ29Xo9GzZsyFxMkNOY02SlpqayceNGunfvbpaVYlFRUfTs2YPt23eYZZTs0KFD/Pnnn/z4Y86mgEhKSiIxMRE7Ozv69+/H77+vyTH9er0eg8GAXq+ne/dP2bVrN4GBgeTNm5fChQu/ctvXrl1l167dbNmyGY1Gg4ODAzVr1mT69OlUrVo114tuC15bhMkSqIuoqCj+/PNPDh06xKFDh9Dr9fzvf/+jefPmlCtX/pVreYWEhFC0aFGWL19OcnISw4YN5/z581SrVg0rq5wJRZw3bx4lS5akXbt2+Pn55ViyQ51Oh4ODA97efxEcfI/u3bvnSLsZxMXFkS9fPs6fP0fNmh45OiJnMplYsGABffv2JW/evDnWbgbmNFnR0dFs2LAhx4PdTSYTvr6+1KxZM/O9z0kWLVpIvXr1qVSpEiaTKUdWeMqynHlMr1ixAo1GomfPXq8ulnQze+PGDapXr87kyZOoUqUK7dt3yPzOvgoXLlxg8+ZNaLVaNm7ciIuLCx06dCA2NpalS5fmSi43wRuJMFkC9SLLMv7+/pmG6+jRo5QoUYJmzZrx1ltv4elZ+5VKYBiNRkwmE/3792fx4sX4+fmRmJjIO++8kyP6Q0JC+Pbbb1mxYgX+/v4ULlwYR0fHV243NDSUqKhI3n67EmvXrqVbt245NoKQmprKiBEjmDVrVo5ofZIHDx6g0Ug5vnTfXCYrNDQUBwcHs1yEIyIimDhxIgsWLMixEbLk5GS2b99Ot27duHDhPCVLlsyR9zomJoa4uFiKFy9B9+6fsnTpshw7Po4fP0aJEu44OzszduxYFi9e/MpB//fv3+fSpUtMnPgDjo6OREZGotVqmTlzJrVq1aJmzZo5ol0g+A9E7UKBepEkiXLlyjF48GC2bdvGgwcPWLJkCYUKFWLHjh00a/Ye7du3Y+LEH9i/fz9RUZHZal+r1WJtbc3KlSuxtbVFp9MRFxcLwNdff0VUVBRGo/Glg86LFi3KypUrkSSJnTt3cPHiRVJTUzl9+vRLtZdBkSJFqFKlKklJSURHR2FlZcX169fR6XSv1C6kB8QvXryYvHnz8v333xESEvLKbT7Khg0bXnn/c5M///yTXbt25Wibfn5+TJs2jUKFCrFw4cIcMVgxMTGZQfkhISHo9Xo8PGq9ksGSZRlvb29MJhMnT3pz+PARrKys2LBh40sbrPRgdRN3795l0qSJAERHx6DT6cifPz9LlixBkqRsG6x79+4xYEB/vvtuHB4eNWnatAkHDuynWrVqzJ49m9jYWGJiYujXr58wWAJVIEayBKrHYDBw/vx5jh8/zokTJ/D29sbNzS0zjYS7e0nc3Nyy3a4syxw7dozGjRuzd+8e/vnnHyZPnoKfnx/u7u6vFGt1586dh2U9JnH8+HHKlClDiRIlXrq9DGbOnEnjxo2pXr06SUlJOVLk9vjx4zRo0IDo6GgKFCiQo/FIOp0uR0fKzDGSldMaDQYDsbGx5MmTh4sXL1CvXv1XbvPBgwfkz5+fP/88QmBgYI7sv7+/Pw8ePKBu3bqMGTOasWO/eaVKBMnJyYSGhlKmTBmGDh3Kp59+godHLc6dO0eDBtnPZWU0Gjl58iRRUZEsW7aM8PBwtFotycnJfP311zRp0oTatWu/NglwBRaNmC4UvD4YjUYuXbrE8ePHOX78ON7e3tjb21O3bl3Kl69AzZo1qVSpUrZMkizLJCQk4OjoyNChQ/nyyzFYW9vw119/0bVr11fSu3r1aurUqUPhwoXZsmUz/fsPeKX2AE6fPs2GDeuZN+9nEhMTyZMnzyu3+cUXX9CpUyfq1av3ym1BeuxX165d2LlzV46tcstpk6XT6ejUqRM7d+7MsQUMe/fu4cKFi3z33Xev3FbGZ9u7dy++/nrsK2egl2WZ+fPnM2jQIC5fvkxw8N1XTiDr5eVFhw4dCAwMZOvWLUyZMhWdTkfevHmzFe+XlJTEtWvX+PHHaWi1Vty9G0RkZCQdO3bExcWF2rVr07dvX1G+RqBGhMkSvL5kxHT5+Pjg4+PD6dOnuXnzJtWqVePttytRo0YNatasme2g2uDgYM6ePUv79u0ZN+5bPvqoLbVr1+b+/fsvNSoVERHBiRMn6NixI4sWLaRu3bp4eNR66Xp1Gd/d1q1b4eW1AldXV6ysrF46kN1oNKLVatm7dw/W1tY5Uhg5I2WB0WjMkQUHOWmyDAYDVlZWOZbSYsuWLRQqVIiGDRu+UhFkWZYxGo34+/vzww8TWL9+wysdI5Ikcfz4cYKCgujRowdr167lww8/zHb8mSzL3L17l5IlS3Lo0EEuXLjAV199zYYNG3jvvfeyVaZHlmXu3bvH5MmTKFSoMMePHyMsLAxPT0/0ej0ffPABgwcPpmTJkiJPlcASECZL8GaRkJDA2bNnM02Xj48PNjY21KlTh1q1aj2Md6qS5ViW0NBQ8ubNi06nY8yYMaxbt45jx47i5JQPDw+PbOu7dOkSRYoUeVhEdzSbNm0mNjYWJyenbF+cM0zCqlUriYmJZdSoUaSlpb10kPytWzeRZShVqhTBwcGUK1fupdrJYP36dUREPGDkyJGv1A7krMmaMGEC9erVo0WLFq/Uzs2bNylXrhyXL1/GxcXlpQtlZ3xm48ePp3ZtTz78sA16vT7bBtBgMJCYmIijoyOtWrVi48aN6HQ6EhMTXyqH2alTJ9Fqrahduzbt2rVj7dq1GAwGjEZjlqcX/f39WbZsGUWKFGHHju2Eh4eTP39+kpKS6N27N++//z6VKlXKlSLjAoEZECZL8GYjyzIBAQGcOXOGc+fOcf78ec6fP0+ePHmoVasWpUqVpkqVKlSuXDnL+XmOHz+Gk1M+qlSpQsuWLdi7dx9RUVGkpKRQpkyZLOuKiIigcOHCTJkymcqVq9C2bVsOHDhAy5Yts/Ur3mQykZSUhJWVFS1btmD//gNoNJqXnqq7dOkS69atY/r06S89kgLp00CQnrH/Vad6cspkmUwmdDod9vb2L/3+ZLwnw4YNY/To0S+VzFKWZdLS0tDpdHTt2oU//jhIUlISefLkydb7rdfrOXr0KB988AErVqwgKSmRoUOHER4enq18Uzdu3KBgwXTj1LNnT3bv3sPp0z5otVbUqVMnS/vj6+vLwYN/YGNjw5o1azAajVhbW5OQkMDnn3+Oq6sr1atXp3nz5mKUSvC6IEyWQPAksiwTGBjI+fPnM43XuXPnsLa2xsPDAw8PD6pVq0aVKlXQaLTPne6SZZnw8HDc3Nz4888/uXPnDn369GHq1Kn06tWLAgUKkJCQgKur639qMplMxMfHM3v2LCZPnsK+ffuwt7enadOm2TI6CQkJ5M2blzlzZlOgQAF69OhJdHQ0+fPnz9Z7BOkBzd26dWXduvWvlMB0wIABjBw5ksqVK790Gzlhsk6ePMnOnTv46aeZL91GVFQkAwcOYuPGjS+VgiDjs5g3by7Ozs706tU78zPLChnHwp49u3F0dOLdd9/l66+/YurUaVhbW2fJzD548AAXFxcCAvzZt28/o0aN4ueff6Z+/fp4enpmHtPPQ6/Xs3fvXqKiIpEkiblz52JnZ4fJZMJkMjFq1Cj0ej3vv/8+7733njBUgtcZYbIEgqwgyzLBwcGZpuvKlStcuXKF+/fvU6FCBapUqZI5zVihQgWKFi363AvasWNHqVPnHW7fvs3ChQtZvHgx27dvo3z58lSpUjVLsUBXrlzGysqasmXL0qLFB+zdu4/Y2FhSUlKyVCfOZDKh1+tJS0ujfft2HDjwBw8ePCBv3rzZWlF37949ihcvzpo1a6hatSrVq1fP8mszCA0Nxc3NDYPB8NJTma9qstLS0tBoNERGRr5URvFTp04SHh5B+/btCQ4OzlZsXmxsLGlpadjb29O27UccOPAHBoMBOzu7LBkQPz8/8ufPj8lkonfvXuzevQdfX18cHBz+MxFuxrH2999/ExMTQ4sWLejWrSvTp8/A0dGRmzdvPnfBg8lkIjg4mOXLlwEScXGxHDhwAGtra+zs7HBycqJ3795ERUUxYMAAqlSpIgyV4E1DmCyB4FVISkri+vXrmaYr439sbCyVK1fG3b0kFSpUoFy5cpQqVYqiRYs+c4Tj2LGjuLuXpGDBgrz/fnNOnfLh3LlzJCYm/mddwQcPHlCwYEEOHz5MYGAA/fsPYN68eXTp0oVChQohSdILRzBMJhMajYZly5bi6OhE586d2bVrF61bt85yULq3tzdlypTBysoKX9+LNG/+ftbewIekpqbSoUP7l87B9ComKywsjEGDBrJ167Zsjz7t3LmT9957j/DwcOLj4/DwqJWl16WkpHDkyBFat27NkiWLcXHJT6dOnTI/i+dhNBqRJIk7d+5w5Mhh+vcfwJw5s2nQ4F3q1KlDZGTkc6siZBxD+/fvx93dnbJly9KoUUNOnfLh5s2b6HQ66tat+9TrEhIS8Pf3JzY2hmnTplG5cmX++ecfwsPDcXd3JykpiVq1atGtWzfu3LnDmDFjzFKaSSCwQJ5rsnKmvohA8Jrj4OBArVq1qFXr8YtrbGwsV69e5cqVK1y+fJk1a37Hz8+PiIgISpcuTfny5alQoULmbcWKb1O4cGEkSeLEib8yjVGGyenQoT0LFy7CysqKY8eO0b17d+Lj48mTJ0/mRfXRorxlypTBycmJf/75h+XLl7Fs2XJOnDhBqVKlcHd3f0xrxkW9X7/+QLpxPHfuLB999BFHjx5Fo9H8Z9Hid999F0gPjg8NDQPgn3/+oXr16lkK0La1teX339fg6OiYI2VUskpGX15eK7JssJKSkrhx4zoeHrUIDQ0lJiYmy4sA9u3bR4ECBahRowanTp2kRYsWjxnDZxksPz8/oqOjeeedd+jcuRPTpv1IgQKumSOWX3wxOvO5BQsWzCwG7ejoyJIli+nUqTOBgYHMmTObNWvWYmVlhUajwc7OjpMnT2FlZcXbb79NWFgY06dPp3TpUly7do09e/ZQuHBh/Pz8sLe3p0GDBqSlpVG/fn0GDx5MiRIlXmmKVyB4kxEjWQKBGUhKSsLf3x8/Pz9u3br12G1CQgLlypXLNF/58uWjWLHiFC1alEKFCmFra0tISAjnzp3jo48+4ocffqBmzZq0adOGr776khkzfiI6OprU1FSKFy+e2WdKSgp2dnasXbs2M2VFv3792Lx5MwEBAUiS9NyA/IsXLyLLMtWqVaNdu3asX78+Mwu+s7Pzc/czPfZmJJMnT0Gn06HX67MU9K/T6eje/VM2bdqcrdVzLzOSFRcXR8+ePdi0aXOWgtxv3LiBq6srer2eBQsWMH369Bc+PzIyEjs7O+Lj4xk9+gvWr9+Aj48PLi4uz81rdePGDfLkyYObmxsdOnRg69atXLx4kdDQUNq2bZv5WWYQGBiIs7MzVlZWzJgxnSlTprJq1UpiY+MYOXIkmzZtolmz93BxyY9er8fb25ukpCRiY2NZsmQx9evX59ixY8TExFCkSBHi4uKoX78+9erV4/Lly0yZMoVSpUqJkSmB4OUQ04UCgVqIj49/zHT5+fkRFBREUFAQoaGhFCpUCHd3d1xdXSlatChFixajWLFiFCxYkJs3b/Lxxx9z6NBB/PxuM2TIEEaPHs3AgQNwcyvCoUMH+fjjjiQkJGBlZUVYWCilSpVmz57dGAxG2rVrR8+ePZk5cyYajYbAwEBq166dqe3RXEj79+/n8uVLfPXV1/z+++988MEHFCxY8LnxNocOHSI0NJQePXpw8OAfNG7c5IUGymQyIUkSq1atpHPnLlm6wGfHZMXFxbFnzx4+/fTT/5yeS0hI4J9//uG9995j0aKF1Kzp8cwYpYzz5d27dzlz5gwdO3Zk3Lhvad26NXXr1iM4OPipNATe3t5Ur16d8PBw5s2bxy+//MLvv/+Ou3sJGjduQmBgIEWKFMFkMuHg4MCaNWvo3Lkzvr6+7Nu3lwkTfmDGjOk0bpye4Xzr1i3Y2toRFRWJlZU1S5cuoVKlyty8eYPQ0NDMkboiRYrQqFEjTp8+zcSJE3F1dc0cXRUIBDmKmC4UCNSCk5PTM6ceIT3HUUhICEFBQdy9ezfTfJ0+7ZN5/8cfp+Hu7k7JkiWZO3cOpUuXIigoiOvXb3D16jWaNIlk7dp15MmTh759+zJ69GjGjx9PcnIyx48fZ9y4b7G2tiYoKIi//z5N7dq1+eabb2jR4gPefbchf/xxgP79B9CkSZPMqUlZlrGxseHcuXMsW7aU335bzNmzZ3Fzc8scTWvevHnmPhw5coQmTZpy/vw5EhOTaNiw4VP7qtFo0Ov1JCYmYm1tnWPlbWRZJjExESsrK+Li4l5osP744w/c3d0pVqwYf/55hKZNmzJkyNDHnhMQEEBCQgLVqlWja9cuTJv242OlXMaPnwCkB9UfPnyYvn37snPnTm7cuM7XX4/l5ElvChUqRP78+Rk9ejSHDh3kww8/JCkpiQkTJjBx4kRmzZqFq6srlStX5vr1ayxYMJ/Q0FBKly5No0YNHyYAPcSdO3cyM6m7uLjQunVrXF1dadeuLSVLjgCgVatWr1R0WSAQ5BzCZAkEKsLKygp3d/en4qkykGWZ6OjoTMN19+5dQkND8fHxITQ0lNDQUFq1akV8fDyFChXi0KGDSJLEzz/PIzExMXNl2d69e6lVy5M2bT6ic+dO/PbbYgIDAzlw4ACpqXpu3LiBj88pwsLCGDv2GwICAoiNjaV8+fKZwe6+vheBGri4uNC5cyf27NnLrVu3SEpKYsaMnzAYDED6iBVA//79mD59Ora2dhgMBpydnbGxsWHo0GEADB8+jD59+lK7du2XXp0myzJ//PEHJ04cZ9q0HxkyZEjmtqioSPLkyUtYWCjz589nzpy5mSNTDg4OTJkyldOnT+Pm5kbhwoX5+OMO7Nmzl6CgICIiwqlWrRpt27ajWLFi3L59m6CgOxiNRsaP/x5Pz9pUrVqV2NgYdu7cQdmyZalduzY9enxGjx49Wb16FbGxcURGPsDW1g4vrxWEhoZStGgRqlSpjI2NDUlJSRgMBqpVq0ZiYiJarZa3336bypUr07ZtWzw8PDCZTNSvX1+s3hMILAQxXSgQvIakpqYSFhZGaGgoERERPHjw4LH/jz4WHh6OJEnkzZsXe3t7ChUqREREBGXLlqVAgQL88ccftG/fPtMEmEwmHB2diI+Po2DBQpQvX55t27YyYcIP+Pj4EBDgz3fffU+bNm2YPHky7u7urF69ig8+aIGtrS1Xr17l4sULjB8/gY0bN9KoUUOKFy9BcHAwpUqV4sCBA5w7d47vvvvuqdikZ00XZjxn9OjRdOrUiVq1anH37l3Kli3L1atXuX79Om3atOGLL76gRYsWlCtXDqPRwKZNmxkzZgze3t6sXLmC1at/Z+zYr3n33YaUKlWKBQvm07x5c86cOYPRaKJIkSJ4e3vj7l4CrVZLUFAQ/v7+lC5dmtRUPZKUnurC2dmZ5ORkkpKSsLW1RZblzAScp06dok+fPiQkJBAbG0vPnj0JDg7G09OT6tWr51iNR4FAkKuImCyBQPBsZFkmJSWFmJiYzP+xsbGZ96OiooiLi+P+/fvExcUB6YHYNjY26HQ6oqKiMJlMpKamYm1tjb29PYmJieTPnx97e3vi4uJISEigVKlSxMbGZq54u3//fmaW9PDwcLRaLW5ubuj1ekwmE1ZWVty7dw9PT0/i4+NxcHDAYDCQJ08e4uPjCQgIoHz58ly9epU8efLg4OBAbGwszs7OREdHk5SUROnSpYmLiyM6OprSpUsTFBREnjx5cHFx4c6dOzg6OiLLMnq9HkmSSE1NRavVYjQaATLjxLRaLUWLFiU4OJgqVarg6OjInTt36N69Ozdu3MDNzY3mzZtz6tQp2rdvj4uLC46Ojtmq5ycQCCyWVzZZAoFA8EIkSdICDkDeJ/7nA5KBjKWQBqAGEE16yELRh8+Jf/icNKAQ4AIkkv4jr8jD+0lA6sPtJQDfh89zAa4ApYAw4BzQFtgF5AHyA5eA0sA1IBR4B9j58LUG4MzD590GYmVZNuXcuyMQCN5EhMkSCAQCgUAgMAOvVq1VIBAIBAKBQPBMhMkSCAQCgUAgMAPCZAkEAoFAIBCYAWGyBAKBQCAQCMyAMFkCgUAgEAgEZkCYLIFAIBAIBAIzIEyWQCAQCAQCgRkQJksgEAgEAoHADAiTJRAIBAKBQGAGhMkSCAQCgUAgMAPCZAkEAoFAIBCYAWGyBAKBQCAQCMyAMFkCgUAgEAgEZkCYLIFAIBAIBAIzIEyWQCAQCAQCgRkQJksgEAgEAoHADAiTJRAIBAKBQGAGrJQWIHgzcClURzbo40HKeETK+PfY3wCS9PDvx26e8fe/L06/Kz3S2qNtPN78M/rObIAnX5be1pPtPn/7s9p9Yb/PaPPZfTwl9fHtz+v/ea9/SqP89GueeHL6Xfk/nvOcdjIef0F7j+t68vFntfvEY7KctTbkZ22Xn+jiidfKT/b/aFtP63j0edJz+nzseU+1/3Q7GTfy43eeuP+Mv59oW35RvzLIT+7bE23Lz2lbfkqP/IzdePKxxz8T+Yk+n27z8ec83oz8eNfyI/sqP/HYw4dvk/qHLMstEAjMhDBZglwhTR9HzcbLkDQSkqRJv9Vo0GjSL3+PPiZpJDSZfz++XaPRIEnSY9sefa4kSWgy2nnoLNJfJ2W+TvPE6zNfk7mdJ9rPaJvM52ky23709fz7+ofbNQ+3S5qH7UhktpPeN//2l3FfSn9dxvb0/njktf+apscez7wvP2Ob/NjzIN1Y/Pu6h/cfPpbet5y+DTmz3Se3Szz6HDnT+KQ/99/nPHqb0bfm0cd5evvj/03pz5Uf2S6bnnkLIMlPPC6ntwGkm7FHtmX+nXlBNv3bVsbjD5+X3va/r8ncbvp3++OveWT7w74z2zKZHr//6HZTxq3p38cATDLyI9tl09Ovl02mZzzvoTaTKd1kmB4+9si2R18nm/59jvyw7Udfl/H4Y9tNcmb/j2//t33ZJGMyPmub/MT2f/8GHn/M+O9zTMaHrzc+8lqjjMkgI6el3wKZ9+U0U+Y2gA8NtwogEJgRMV0oEAgEAoFAYAaEyRIIBAKBQCAwA8JkCQQCgUAgEJgBYbIEAoFAIBAIzIAwWQKBQCAQCARmQJgsgUAgEAgEAjMgTJZAIBAIBAKBGRAmSyAQCAQCgcAMCJMlEAgEAoFAYAaEyRIIBAKBQCAwA9JjdawEAjMhSdIVIEVpHQKBQPAIdrIsV1FahOD1RdQuFOQWKbIseyotQiAQCDKQJOms0hoErzdiulAgEAgEAoHADAiTJRAIBAKBQGAGhMkS5BZLlBYgEAgETyDOSwKzIgLfBQKBQCAQCMyAGMkSCAQCgUAgMAPCZAkEAoFAIBCYAWGyBC+NJEkVJUnykSQpVZKkMU9suyNJ0mVJki4+ukxakqT8kiQdkiTJ7+GtyyPbvpEk6bYkSTclSfogN/dFIBBYPpIkeUmSFPEwL1/GYz9IknT/4bnooiRJrR7Z9sxzjiRJtR6ev25LkjRfkiQpt/dF8HogTJbgVYgGRgCznrO9qSzLNZ7IjzUWOCLLcnngyMO/kSSpEtAVqAy0ABZJkqQ1m3KBQPA6spL088eTzH14Lqohy/I++M9zzq/AAKD8w//PalMg+E+EyRK8NLIsR8iyfAZIy8bL2gKrHt5fBbR75PENsiynyrIcCNwG6uSUVoFA8Pojy/IJ0n/8ZYVnnnMkSSoCOMmy7COnrwxbzb/nKYEgWwiTJTAXMnBQkqRzkiQNeOTxwrIshwI8vC308PFiQPAjz7v38DGBQCB4VYZJknTp4XRiRojC8845xR7ef/JxgSDbCJMlMBcNZFn2AFoCQyVJavQfz39WzIPILyIQCF6VX4GyQA0gFJj98PHnnXPEuUiQYwiTJcgWkiQNfSSAtOjznifLcsjD2whgO/9O/YU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+ "image/png": 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\n", 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" ] @@ -924,26 +936,44 @@ } ], "source": [ - "hp.mollview(output_map, nest=True, cmap=\"coolwarm\", min=-1500, max=1500)\n", + "hp.mollview(output_map, nest=True, cmap=\"coolwarm\", min=-300, max=300)\n", "hp.graticule()" ] }, { "cell_type": "code", - "execution_count": 171, + "execution_count": 2, + "id": "secure-proof", + "metadata": {}, + "outputs": [], + "source": [ + "# Logica template\n", + "\n", + "# convert to local\n", + "# -> pix\n", + "# hp.pix2ang -> alpha,delta\n", + "# ora + sito + (alpha,delta) -> Az, El \n", + "# I(Az,El) = hpMap(pix)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 41, "id": "polished-weight", "metadata": {}, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "32.95765764292805 147.04234235707196 -57.042342357071945 57.042342357071945\n" + "77.8297096924424 102.17029030755758 -12.170290307557586 12.170290307557586\n", + "The interval between parallels is 2 deg 30.00'.\n", + "The interval between meridians is 1 deg 0.00'.\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -955,13 +985,13 @@ } ], "source": [ - "hp.gnomview(output_map, rot=(75,30), xsize=5000, ysize=5000, cmap=\"coolwarm\", min=-1500, max=1500, nest=True)\n", + "hp.gnomview(output_map, rot=(75,30), xsize=700, ysize=700, cmap=\"coolwarm\", min=-200, max=200, nest=True)\n", "hp.graticule()" ] }, { "cell_type": "code", - "execution_count": 172, + "execution_count": 42, "id": "welcome-theory", "metadata": {}, "outputs": [], @@ -972,7 +1002,8 @@ "R3 = moving_average(data.obs[0]['tod'].cache.reference('atm_R3')*10E-6, N_sample)\n", "R0 = moving_average(data.obs[0]['tod'].cache.reference('atm_R0')*10E-6, N_sample)\n", "R6 = moving_average(data.obs[0]['tod'].cache.reference('atm_R6')*10E-6, N_sample)\n", - " \n", + "\n", + "I0 = moving_average(data.obs[0]['tod'].cache.reference('atm_I0')*10E-6, N_sample)\n", "\n", "I2 = moving_average(data.obs[0]['tod'].cache.reference('atm_I2')*10E-6, N_sample)\n", "I1 = moving_average(data.obs[0]['tod'].cache.reference('atm_I1')*10E-6, N_sample)\n", @@ -984,7 +1015,7 @@ }, { "cell_type": "code", - "execution_count": 173, + "execution_count": 43, "id": "binary-invention", "metadata": {}, "outputs": [ @@ -994,13 +1025,13 @@ "Text(0, 0.5, 'Signal $K_{RJ}$')" ] }, - "execution_count": 173, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -1015,8 +1046,8 @@ "time = np.linspace(0, len(R3), len(R3))/20.0 # sec.\n", "\n", "plt.figure(figsize=(10, 7))\n", - "plt.plot(time[:120*20], R3[:120*20], '.')\n", - "plt.plot(time[:120*20], Y6[:120*20], '.')\n", + "plt.plot(time, R3, '-')\n", + "plt.plot(time, Y6, '-')\n", "\n", "plt.xlabel(\"Time [sec.]\")\n", "plt.ylabel(\"Signal $K_{RJ}$\")" @@ -1024,10 +1055,33 @@ }, { "cell_type": "code", - "execution_count": 174, + "execution_count": 44, "id": "controlled-asian", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "# plt.figure(figsize=(10, 7))\n", "# plt.plot([0, 1, 2, 3, 4, 5, 6, 7], [np.median(R3), np.median(R0), np.median(R6), np.median(I2), np.median(I1), np.median(Y3), np.median(Y0), np.median(Y6)], '.')" @@ -1035,35 +1089,36 @@ }, { "cell_type": "code", - "execution_count": 175, + "execution_count": 45, "id": "computational-verse", "metadata": {}, "outputs": [], "source": [ "from scipy.signal import periodogram\n", "from scipy.signal import welch\n", - "import scipy.signal as signal" + "from scipy.signal import correlate\n", + "import scipy.signal as signal\n" ] }, { "cell_type": "code", - "execution_count": 176, + "execution_count": 48, "id": "closed-boundary", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(1e-11, 0.01)" + "(1e-11, 0.1)" ] }, - "execution_count": 176, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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o9s1dpy1cw+T5q2nfKsNdkxcxa8V6Rg3sylWnDWNAd5vHSpIaljVjatxWzYInr67oUdYNRn8bhl9UJz3KAMqzOf4yeSHX/3s2H2zJcsmR/fnasQM9+1KS1GAMY2oalkxNepQtmAAd+yb1ZfueXSc9ygDe2bCZnz/6JvdNXUL39kV895NDOPPAXoQ6aLchSdLOGMbUdMQI855MQtny16HHvnDsVTDw+DrpUQbw8qI1/GjsDF5dspZD+nXiR6cPY9heHerk2ZIkbY9hTE1PVY+ya2HNW9DncDjuR9Dn0Dp6fORv0xbzs0dn8d7GLVxwaF+uOGEQHdvUzdKoJEk1GcbUdGXLqnuUbVgBgz8Jx/wAegytk8ev3VjGr/49iz9PXkiH1gV8+6QhfGZEMWnPvJQk1SHDmJq+Le/D5N/DxP+FzevhgPPgE9+Fjn3q5PFvLFvHj8bOYMqCd9mvVwd+fMYwDu5jo1hJUt0wjKn52PguPPcreOFmIMKIL8Dob0LbrrV+dIyRsa8u438ensmKdZs5e3hv/vukIXRrX1T7cUuSWjTDmJqftUth/HXwyl1Q0AYO/0847CtQ1L7Wj96wuZwbnprDbc+9RatMmv86fhCfO6wvBWn7IkuSdo9hTM3Xqtnw1NUw8yFo0zXp8D/iYsjUfjZr3qoN/GjsDCbMeYdBPdrxo9OHcfjetZ+BkyS1PIYxNX9LpsETV1X0KOsD+5+bBLL+o6G4dLcfG2Pk8TdWcM24N1iy5gNO3b8n3z9lH3p2aF2Hg5ckNXeGMbUMMcK8p+Dhb8G785Jr6UK46F+1CmQAm8qy/OGZefx+/DxSIfDVYwZw6aj+FGXSdTBwSVJzt6thzIIYNW0hwIBj4cDzgYrWFNkt8OCXk+XMWmhVkOYbxw3iif93FKMHdeUXj83ixF8/y9Nvrqz9uCVJqmAYU/PQfzRkWkFIQyqTFPv/biT86wp4/51aPbq4cxtu+twI7ryklFQqcPGfXuTSO15k4er362jwkqSWzGVKNR+LpyT1Y/1GQeeSZOfl1NuhsC2MugIOvRwKWtXqI7aU57h94lv835NzKMtFTj+gJ707tWHUwG4M72uPMklSNWvGJIBVs+DfP4TZj0KHPnDcVbDvp2p95uWKdZv41t9e5dk5yaxbQTpwz2UjGdGvc12MWpLUDFgzJgF0Gwzn/xU+/yC06gAPfAFuOQ4WvVCrx/bYoxWHlnSh8gSlsmzkK3e/xAvzV9fBoCVJLYlhTC1DydHwxWfgjBth7RK47QS47/Pw7lu7/ciRJV0ozKRIh2RmrDwbOefmyVz+52kseMd6MknSrnGZUi3Plvdh0g3JmZe5cigdkxyv1Prj13xNW7iGyfNXM7KkC0N77sEtE+bz+2fmUZbNceFh/fjPYwbSoU1BPXwJSVJjZ82Y9FHWvQ1PXZscr9S6Ixz9XRhxCaRrF55WrtvE9Y/P5r5pi+nQuoBvHDuQC0Z6tJIktTSGMWlXvf0aPH4lvPUMdBkAx18Ngz9Z6yL/N5at49p/vcGkeasp6dqW731yH47dpzuhls+VJDUNFvBLu6rn/kmB//n3QUjBvefDn06FZS/X6rFD99qDuy49lFs+n/zv8NI7p/LZW1/gjWXr6mLUkqRmwpkxqaZsGUz7U9KjbOPq5LzLY38IHXrV6rFl2Rx3TV7Ib56cw9oPyvjM8GKuOGEQ3feoXd8zSVLj1SSWKUMIRwPXADOAe2OM43d2v2FMDWbTWpjwK5j8u6Sr/+FfhSO+DkXta/XYtRvLuOGpOdzx/AIK0im+dNTeXDqqhNaFnncpSc1NvS9ThhBuCyGsDCFM3+b6SSGEWSGEuSGE73zEYyKwAWgFLNndsUh1rlUHOP7H8NWpMOST8Owv4P8OTmbNctndfmyHNgVceepQ/v1fRzF6YDeu//dsjrl+PP94eQm5XNOZpZYk1Z3dnhkLIYwmCVJ3xhj3rbiWBmYDx5OEqxeB84A0cN02j7gEeCfGmAsh9AB+FWO8YGef6cyY8mbJVHjse7D4Beg+DE64JjmgvJZemL+aa/81k9eXrmX/3h248pShlPa3i78kNQcNskwZQugHjKsRxg4DfhRjPLHi9XcBYozbBrFtn1MI3B1jPHtn9xnGlFcxwhsPJscrvbcQBhwH+58Daxcn52EWl+7WY3O5yD9fWcrPH53F8nWbOHnfPTl1/54sWL2RkSVdPPNSkpqoXQ1jmTr+3F7A4hqvlwCH7ujmEMJZwIlAR+C3O7hnDDAGoE+fPnU2UOljCwGGnQmDT4YpN8PT18HcJ5L3MkVw4bjdCmSpVOCsg3tz0r578sdn3+LGp+fyyPTlBKAwk+Luy0YayCSpGavr1hbba6C0w6m3GOPfY4xfjDGes6Pi/RjjzTHGETHGEd26daurcUq7L1MEh/8nHPZlqv4rX74ZHv5WrY5XalOY4evHDeQLo/oDyf9wNpfn+PFDM5i3akPtxy1JapTqOowtAYprvO4NLKvjz5Aah4EnQKZVstsylYYVM+CG4fDgV2oVyo7bpwetClKkAqRTgTfeXsdxv3qGMXdOZdrCd+vwC0iSGoO6rhnLkBTwHwssJSngPz/GOKPWI8WaMTVCi6fAgglJzViHYpj4G5h6e3Lm5YHnwahvQuf+H/uxNc+87NO5DXc+v4A7n1/I2g/KGNG3E2NGl3DcPj1IpezmL0mNVb0X8IcQ7gGOBroCK4CrYoy3hhA+CfyGZAflbTHGn+zWB2yHYUxNwrq36yyU1fT+5nLum7qYWya8xdL3PqCkW1vGjCrhzIN60arAPmWS1Ng0iaavH5dhTE3KtqHsgPNg9BXQuaRWjy3P5nh4+nJuemYeM5ato2u7Ii4+oh+fPbQvHdrU7pBzSVLdMYxJjcW6t2Hi/8LU2+o0lMUYmTRvNTc9O59nZ6+iTWGacw/pwxdG9adXx9Z1NHhJ0u4yjEmNTT2FMoA3lq3jjxPm89Cry4jAafv3ZMzovRm61x61H7ckabcYxqTGqjKUTbs9OZi8DkPZ0vc+4Lbn3uLeKYt4f0uWUQO7cszg7mwsK2dkSVf7lUlSAzKMSY3d+uXw3G/qJZSt3VjGXVMWcvOz83lvYxkAhekU94yxgawkNRTDmNRUrF9evXxZGcoGHgfvzq/VMUsA//fkbH797zlVnZf7d23Ljecf7PKlJDUAw5jU1FSGshdvgeyW5FotjlmCpF/ZBbdMpqw8RwiBokyKjWVZzjywF//v+EEUd25Th19AklSTYUxqqp74MTz3a6pOEuvYD078SXImZurj9xOr2UB2QLd2/P6Zedw+8S1ihAtG9uGrnxhAl3ZFdfoVJEmGManpWjwF7jg9mR0LAVp1go2roGMfOOQyOPhz0Lp2dV9vr/2A/31iDvdNXUybwgxfHF3CF0b1p01hpo6+hCTJMCY1ZTWPWdrrYJj1MLxwEyx8DgrawP7nwKGXQ/chtfqYuSvX84vHZvHYjBV0bVfE148byLmHFFOQrutjayWp5TGMSc3R8tfhhT/Aa3+D7GYoOToJZQNP2K0lzErTFq7hZ4+8yZQF79KvSxu+eeJgTtmvJyF49qUk7S7DmNScvb8aXvoTvHgrrFsKnfpB6Rg48AJo3XG3Hhlj5OlZK/nZI7OYtWI9+/fuwHdOGkJRQbqq5sy2GJK06wxjUkuQLYM3xyVLmIueh4K2ycHkpWOg2+Dde2Qu8s+Xl/Krf89m6XsfkKqYHCvMpLjrUvuUSdKuMoxJLc2yV2DKzfD635Li/72PSZYwizrAookfu2fZprIsX/rLNJ6etarq2mdG9OZnn9rf5UtJ2gWGMaml2rCqeglz/dtARXDKFMGFD32sQDZt4Rou+ONkNpfnqhrHHljcka9+YgDH7tPdUCZJO2EYk1q6bBn844sw/YHqa0NOhU//CdIFu/yYyj5lB/fpyLxV7/OHZ+axZM0HDNmzPV/5xAA+uV9P0ilDmSRtyzAmqUbPss1AhBihY1846r+T9hjpj99XrCybY+wry/jd+LnMW/U+JV3bcvnRe/MfB/WyJYYk1WAYk5So7FnW90jY9B48/RN4+1XovDcc/R3Y91O71RYjm4s8NmM5v31qLm+8vY5eHVvzxaNK+MyIYloV7H6bDUlqLgxjkrYvRnjzXzD+OlgxHboOSkLZ0P+A1Mef2YoxMn7WKn779FymLVxD13ZFnLzvnnRuW8joQd3cfSmpxTKMSdq5XA5mjk1C2ao3oftQOPq7sM9pyTFMH1OMkcnz3+W6h2fy2tK1AGRSgTsvKeXwAV3revSS1OjtahizwENqqVIpGHYmfGkSfOrWpB3GfZ+Dm0bDrEeSGbSPIYTAYXt34cR996zqTVaei1x251T+NPEtNpdn6+FLSFLTZxiTWrpUGvY7G778Apz5B9i8Du45F/54DMx5Aha9ABOuT2rPdsHIki4UZlKkAxSmU/Tp0oYfPfQGn/jFeO6ZsoiybK6ev5AkNS0uU0raWrYMXr0HnvkFrF2ULFlGPlafssp2GCNLunBwn45MnLuaXz4+i1cWv0efzm34xnEDOePAXrbEkNSsWTMmqXbKt8D9FyXF/pV6HgAn/AT6HvGxi/0rz7785WOzeePtdQzo3o7/Om4QJ++7JylDmaRmyDAmqfa26lMWIF0E5RuhQx844Bw44DzosvfHemSuoiXGr/49mzkrN7BPzz0488C9KM/lGFnS1d2XkpoNw5ikulHZp6zfKOixbzJT9urdMH88xBz0Lk0OJx92FrTuuMuPzeYiD726jJ8+MpPl6zYDUJAO3HPZSEb061xPX0aSGo5hTFL9WrcMXrsvqS9b9WYyazb4ZDjwfCjaAxZN2qXDyW94ag6/enx21dmXXdoWcuWp+3Da/nuRsaO/pCbMMCapYcQIb78Cr9wDr/8NPni34o2wS0X/0xau4YJbJlNWniOVCvTcozWL1mykuHNrvjh6b84e3tuO/pKaJMOYpIZXvgXGfhVe+2v1tb2PgXPugsI2O/y1mrsvDyruyJNvruS3T8/l1cXv0b19EZeNKuH8Q/vQtujjn6UpSfliGJOUH1sV/ZPUlbXrAaO/BQdfCJnCXXpMjJFJ81Zz49NzmTRvNR3bFHDx4f05qLgjry9by8iSLhb7S2rUDGOS8qdm0X/MwZNXw8KJ0KkfHP29pMnsxzic/KVFa/jd03N5YuZKAAJQmElx92UjDWSSGi3DmKTGI0aY+yQ8+WNY/lpyDuYxP0gK/j/GOZg/GjuDP01aUPX6kH6d+N0Fw+nWvqgeBi1JtePZlJIajxBg4HEw5hk4+zYo3wz3nge3ngBvTUhm0nbhyKXTDtiLVgUpUgFSAaYuWMORP3uKqx96gxXrNjXQl5GkuuXMmKSGly2DV+6C8T+D9csgpGocuTT2I3dfVhb7d25byI1Pz+UfLy8lnQqce0gxlx+1N3t1bN1w30WSdsBlSkmNX9kH8NfPwdx/V1/rezh88pfQY9guP2bR6o38bvxc7p+2hBDg6MHd6d+1LScO29OaMkl5YxiT1DQsngJ3nJa0xQgkM2Tkkrqy/c6Gfc+GTn136VFL1mzkmnFv8NiMFUCylPmLsw/gU8N719vwJWlHDGOSmo6auy87l8CMf8Dr98Piycn7xSOTYDbsLHh3XvW921nOvPHpuVz/+CxyNf7RNmpgV8aMLuHIAV0JH2PDgCTVhmFMUtO3ZgFMfwBe+xusmgkhDcSd1pfV7OifSac4e3hvHn9jBavWb2Zozz0YM7qEU/bvSYFHLUmqZ4YxSc1HjLBiBjzyLVg4qfr6sLPgrD9CeuvO/DWL/If37cTm8iwPvryMmyfMZ+7KDfTq2Jrjh3anQ+tCRg/qZl2ZpHphGJPU/NSsLyMmfzr2gcO/Bgd9Fgp2vosyl4s8PWslv3xsFjOXrwcgHQLfO2UIFx3en3TKJUxJdccwJql5qqwv63NEcij5c7+GJVOgTVcYeTkccim03vlM1/bqyrq3L+KMA/fizIN6MbTnHtaWSao1w5ikliFGWPR8EsrmPA6F7WDQicmM2eBPbrfIv2ZdWUE6xVePGcCrS9YyftZKyrKRwT3ac0i/zrRvleG4oT1cxpS0Wwxjklqe5dPh8R/A/KeS1yENp/9fsoS5jW3rygDWvL92kyF8AAAgAElEQVSFca8t48+TFzJ7xQYA0qnAzZ8bzrH79GiwryGpefA4JEktz577Qv8jk47+ADELD34Fbv8kzBwHuWzVrcP7duIrnxiw1axXp7aFfO6wfpxxYC8qy8eyucjlf5nGLx+bxdoPyhry20hqIQxjkpqXfqMgXZTMimVaQekX4b1F8NcL4Ibh8MJNsHnDTh8xsqQLhZkU6QBFmRSl/Trz26fnMvrnT/OHZ+bxwZbsTn9fkj4OlyklNT81m8gWl0K2HN58CJ7/XVLsX9QBBh0P7feCfU7bYV1ZzWXM6UvX8svHZzF+1iq6ty/izIN60bYwzZEDbY0hafusGZOk7VkyFZ68Gt56JnkdAhxyGRz+n0nR/0eY8ta7/PDB6bxZ2RojFbj2zH0595Bid2BK2ophTJJ2ZML18NS1EHNbX+81HIb9Bww9A9Yv3+GxSzc+PYfrH5+9VWuMvbu15VPDe/MfB/Vi2XubPrQ5QFLLs6thLPNRN0hSs1NZV5bdAulC+I/fJ0cvzfgHPH5l8ieEGscuPbRVIBtZ0pXCzNyq1hgXH9GPFxes4eePzuLnj84iFZKOG0UFKe66dKSBTNJOOTMmqWXatq6s0rvz4V/fhHlPVl8bcgp8+g5IF1Rd2l5rjAXvvM93//4az89/t+q+sw7qxfWfOcAlTKkFcplSknbX4ilwx+mQ3Zy8jjno1A+O/i7s92lIpXf4q5UNZTeXJUugERi21x587diBdG1byOS33nX5UmohDGOSVBuVM2d9j4RNa+Gpa2D5a9BtCHzi+9CuByx8brs1ZZWzZof068SC1Ru58em5LFy9kcq5MZcvpZbBMCZJdSmXg5kPwtP/A+/MhspotZ2asm2VZ3N87Z6XeXj68qprh/bvzC/OPoA+XdrU88Al5YthTJLqQ7YcHrgE3niw+lrxyOTYpW6Dd/hrlcuXW8orli9jsoQ5amBXSvt1JgJHDOjqbJnUjBjGJKm+bFtTRkiOXupzGBx8IezRC5a++KElzJpF/3t1bMXfpi7hzucX8M6GLQBkUoE7Lynl8AFdG/47SapzhjFJqk81d2N26g+v3g0v3Qmr51bcEJK2GReN2+kS5m+fmsP1/55N5T+K2xSm+X/HD+KzI/vSqmDHGwUkNX6GMUlqaDHCQ1+Hl+6ovtZ+Lzj6v2HfT8HKmR9qp1G5fFlWniOdSjF4z3a8vnQd3doXcer+PenYusAjl6QmyjAmSflQtYS5BUIKOvRKGspmWifXYoRM4VZF/9v2LHth/mquGfcG05etA5LlyxvOO4iT9+uZxy8m6eMyjElSvtRcwux9SHIe5sPfhLdfqb6nXQ8YdCLsdXCynLluGZQcVRXQbnx6Ltc/PmurI5eOGdKdz47sQ/tWBUyxX5nU6BnGJKkxWTwF7jitesas5wGweh5seq/6nlRBMmPW97Ctli8z6RSnH9CT8bPfYdX6zVX9ygrSKe78wiGMLOm63RMBJOWXYUySGpttj2CKMTkH8/kbSRpdkMyYnfMXKC79UMAqy+a44r5XGfvqsqpHFqQDB/TuyKtL3iObixRmbCgrNRa7GsZSDTEYSRJJABt1RfXuyhBg6BmQaQUhnSxX5rJw6/Hw4FcYvvlFvpJ5kOGpOUAyE3bh4f1oVZAiHZIgduyQHsxesZ6ybCQXYXNZjufmrMrjl5T0cTkzJkn5VnPGrPtQeOZnyWxZzALhQ13+t50xm7bgXc675YWqhrJd2xXy/VP2obhTG16wtkzKG5cpJakpe+Q78MLvq193GwLHXgUDj4dlL2+3Rcbk+atpW5jm/peWMH3puqrassJMirsvc+lSamiGMUlqymp2+Q8pKGgLm9dC0R5Q9n5Sb5YuggvHfqipbC4X+c97XuZfr79dda1nh1YcPagbRQVpTjtgL4OZ1ACsGZOkpqy4NAlax1wJFz8C354H5/0VOvRO6spiDso/SJY0172dhLcJ18PiKaRSgUuO7E+rghSpkPQpS6UC97y4mD9NWsCn/zCJf7y0NN/fUFIFZ8YkqSmpbJFRvjnZABBzQKj4mYr6srEf2o05ef7qD/UtO3t4b44f2oO5KzdYVybVg12dGcs0xGB2JIQwCrigYhxDY4yH53M8ktToFZcmxfyVNWOtO8O4bySvIZkte+NBKC5leN9OWwWswkyqqm/ZicN68M+Xl3L/tCVAsjPzjotLKSpI269MamC7PTMWQrgNOBVYGWPct8b1k4D/BdLALTHGn+7Cs84EesQYb9rZfc6MSdJ21JwtIyZtMg77Cux9DCx7qarQ/80XHue9mU/ScdjxDDnkOK57eCY3PTu/6jGpior/GKGowH5lUm3VewF/CGE0sAG4szKMhRDSwGzgeGAJ8CJwHkkwu26bR1wSY1xZ8Xv3AZfGGNft7DMNY5K0A5XtMboPg5kPwSt/qfFmSM7GLN+YvEwXwkX/Ylpu4FaHlJd0a8uby9dX/db5pX34n7P2a9jvITUj9b5MGWN8NoTQb5vLpcDcGOP8ikHcC5wRY7yOZBZtewPtA6z9qCAmSdqJ4tLqXZWDT4KCVvDiLRVvRmjTCdZ9kPyc3QLTH2D4yT/jrktHVi1LAlxwy2S2lOeIEe6esoil721k2F4dOHafHs6SSfWkrmvGegGLa7xeAhz6Eb/zBeD2Hb0ZQhgDjAHo06dPbccnSS3D/ufAy3clwStdCKO/DY9+J3kdszD9HzDqCob37b5VyKoMZwcVd+SBl5bwwEtLeWb2O9z07Hx++h/7UdK9nTVlUh2r6zAWtnNtp+ugMcarPuL9m4GbIVmm3P2hSVILUtkao2Zz2B5Dk9ftesDD34J7zoOLxkFB66pfG56aw/DMBCgaxcvdOpMKkIuQzUW+9cBrVf+QL8qkuMtGslKdqOswtgQorvG6N7BsB/dKkupTzaXLbV+36gB//RzcfU4S1tp2gSUvwiv3AElD2WNPupsbauzA3L93B15csAaATeU5/ufhN7jkiP4sWL3RmTKpFmrVZ6yiZmxcjQL+DEkB/7HAUpIC/vNjjDNqPVIs4JekOjXuCph6y47fH3gC0464ickV51tCdU1Zpcq+ZYXpFPdcdijD+3WuzxFLTUq9F/CHEO4Bjga6hhCWAFfFGG8NIXwVeIxkB+VtdRXEJEl1bI+9SKpLIpCCA89NasmyW5Jrcx5neNnnGd73cEgdB8WlWxX8PzlzBb8fP48IbMnm+Oo9L/O5w/qSy0UO27urM2XSLrIDvyS1VFXnX1YU+V84Nrm+YAL0PRJev696R2YqkxzN1GM/WP4q9Bu1VWuMEALtW6VZs7EcgHQq8PnD+tCpTRFHDDCYqWXyoHBJ0ker7E9WWeRf04Tr4clrgdyHfy9VAOffy5trYM0bT9Fp6DH8e31ffvX47A/t2sqkAveMGckhLmGqhTGMSZJqZ6uZs4Kko/+sR6jaJB/SFTcmBf9vnvgXzhxbVjVTls3FqmDWY48irjh+EKs2bKmqP7NFhpo7w5gkqfZqzpxBdThLZaBTX3hndvW9+32GN3t/mjVvjmd9j5F8bWIBZeU5UqlAUSbFhs1ZIKlSC8Fjl9T8GcYkSXXvQ+Gs8kxMSGbMKjqRpQtYfNA3WbJ6LZ2GHsPD7xVzw5Nzt9t48stH7823TxrSAIOXGpZhTJJU/yrDWZ/DYeqt8PrfPnxPuog3T7q7agkznQpAoCybIwLtitJ8cr+enHNIH2fI1KwYxiRJDatmjRlAzFFVXzboZKYd/ruqnmVtV05jzRtPsaDdQXzvxTZVc2qfGNKNvl3acur+exnM1OQZxiRJDa9ypqx1l+qzMIlJMBt4ArTpCpveg9mPQsxRnirinE3fZVpu0FaPCQGuOH4Qpf078+KCNRb6q0mq96avkiR9SM0jlyrPwuxzBLz8F3jlzx+6PZ3bzImZl3ilbNBWOzBjhF8+PrvqLMxMOvCZEcWcdXBvQ5maHcOYJKl+1AxmiyZCSFUsXaYglfwcYo5Lip5mZO/WLO9zKrdNfIvhcQbTwjAK+43k2TnvAFCWjdz1wiL+Nm0JPzp1KGs+KHO2TM2GYUySVP/6jYJ0UXW3/5N+Ch+shrJNZJ79Bfsv+yv7L/srx6eT45liuojZ+9/NlAUpNpflqnZhbinP8b1/TidgWww1H4YxSVL9Ky5Njlvattv/hOurm44BoSJ2hexmhrz2c8aedDlvvT6ZW5f0Ylp2AJHkcPIIbCrLcfvE+Uye38FZMjVpFvBLkvKn5g7MVBoIkEvOtyRmK24K5EKaGXuewdt9z+RrEwvYUp4jV3kQAElN2YWH92OPVhmOGNDNYKZGwd2UkqSmYdtGspU/T/87vPD7re9NZVg54BwWbSpiYmo4v37zw6GrwGJ/NRKGMUlS01Y5a1a+CbbTuz+GND8rP5d0LOeFOJRp2YFb3VWUSXHlKfuwblO5y5jKC8OYJKnpWzwFXr0bXr47Wb4MAXJZKsNZZaVZNlXIj8s+R/vceibn9uGluHXfMmfLlA+GMUlS87G9ZrKBimCWiAQigc0xw2fLvsfLcVBVXVmlokyKq04bxpqNW5wtU70zjEmSmqftdvnPVe3IjMCyDgczY8h/cduktzg4N+NDs2WVRf/Olqk+GcYkSc3fVsHsvyvqy7YWgc2xgAvKvr/D2bK7L7NfmeqexyFJkpq/bY9fGn8dzBsP5KpuCUBRKON3ne/j1X2/y20Tt54t21ye41ePz+LwAV3o1KbIJUw1OGfGJEnNx/b6lmXLqBnOYkgRY6Qspvlb9ij+nh31oSVMu/urLrhMKUlqmbbtW7ad2TKobpZRHgo5Z9P3PrQDc9SArpy8X09nyrTbXKaUJLVMNZcuAY7+Lix8vsZsGZAtqzp6KRO38P8K7uf1bH82UkgkxaTcMCbMhQlzk4PKW2VS3GVdmeqJM2OSpOZv29mymr3LYnarWysL/s/f8v2tZssO6N2BH542DIDJ81c7W6aP5DKlJEk7UxnQ3lsE0+6gZpf/GGFKbgjP5YbRLmzisewhVcEshIrWGKnAp22NoZ0wjEmStCuqjl3aTGVdWSQJXJU/Z2OKe7Of2G6xf0HaUKbtM4xJkrSravYrm/kgzHuabc/DjBG2kOHG7FmUx/ChRrKZdOCc4cWcNdxQpoRhTJKk3fGhmbJAJFbNlEES07bENH/LHs30XD86hw1V4SydClx2ZH/aty6wrqyFczelJEm7o7gULhxbPVO2/BVCZbE/QMwRiBSGLBdknoQIOQLlVPct+8Oz0X5l2mXOjEmS9FG2PQ+zfBPbW8aMQJY0Pyi7iHtzxwIwsqQzpx/Qy35lLZDLlJIk1YfFU6pbY2zT3R+SUJYl8PfsKO7NHrNVXVkrZ8paFMOYJEn1qeZs2duvwEt3EGNuO7swj2Z6rn9VXVmrkpGcur8zZS2BNWOSJNWnbTv99zyQ8PAVkMtCRcF/JuS4IP0UpJNwVkaGvy08ivvnj6oq9r/mjH05/9A+efoSagycGZMkqa5stYS5pWoXZmXfssq6sjIyPJ09kHfowN+zo9in9DiG7dXB2bJmxmVKSZLyZTt1ZREgJh38a/5f7xYynLflyqraskwqcKmtMZoFlyklScqXyiXMA86vqisLy18h99JfIFcGobrDf0Es5+uZB3gkW1pVV2ZrjJbFmTFJkhpK5YzZS38h5sqAJJTlYsXfQK5Ga4wAHDmwK984bpCBrAlymVKSpMaqMpQte4W47OWtu/vHJJQ9kB3NS7mBdA4bmMJQRhxxokuXTYxhTJKkxm6bo5e2PaCc+OHZMmvKmg7DmCRJTUFlv7JN6+D531a1xqipspHsvdlj+Ht2FAAjUzN5KTWMb136eQNZI2UYkySpqdlmF2Ykt9UOzAjkSFXMoEXKKOCn3X9G96GjGFnS1VDWyLibUpKkpmabXZhh0zpyk35LjOWEACkgxByhYi0zxDIOe/suXls2meviPnQeMoovHrW3oayJcWZMkqTGrHK2bNqdxJitaiJbcyWzZl3Z/RzHOYcUc9bBvQ1leebMmCRJzUHlbNmeFcctxRyRQIjZquXLdIBUzPKTgtvoU76CDVPb8tOpQxnuDswmwTAmSVJTMOIi6DEUFkwg1boLuUf+m5jdQgg5YkVdWSpGvpQZVzFTluIHzy3iptyxpFOBqz0Ds9EyjEmS1FTUOJw8VRHM2LSO3MT/A3LbzJTluKbgT1AGncMG7n9wFvApA1kjZBiTJKkpqhnMOvWHh69I2mKEWDVTlo5Zri24nUCOHCl++OBixsw6n27ti6wpa0Qs4JckqTmo0a8sN+m3hFieXK/RGiNL4InscN6hA//IjqLLPu6+rE/2GZMkqaVaPAUe+z4smVK187IykFXaQobztlzJa2Gwuy/rya6GsVRDDEaSJDWg4lIoOQqoOF4pVHfCCCH5U0A5P8jcydk8QYepN/DTm+/g7hcW5WvELZo1Y5IkNUcDT4BJv4XsFkIqDQNPIDfrUYjlECEV4MDUfA5MzSdHYAsFfPbBiEX+Dc8wJklSc1RcCheOTerI+o2C4lJSi6fAo98hLp0GUGP3ZaQwbuHK9J+55p8wfpa1ZA3JmjFJklqSxVPgT6dAdgtAxTmX1fVklUX+t+ROpfOQUe68rAUL+CVJ0vZVHrFEgA0riW+Oo+K4y6pQVkaap7IH8Q4d+GcczVmnn+Xy5cdkGJMkSR+tYqYsZrdU7bqErXdeZknxw/KLCSMudpbsY3A3pSRJ+mjFpXDRvwhDToGQIvLhnZdpclyduZ19pl3lrst64MyYJElKVC5fblhFbtajSePYbXqUlZPmh+UXsd/p33DZ8iPs6syYuyklSVKi5hFLi6fAxN+Qe/NhQsVcWQiQiVmuzdzG98cCGMjqgjNjkiRph+aN/wt7j/8KQNWZlzFCjsCVZZewesj5HBxmc1rH+fQ68ISqMCdnxiRJUh3Yu2QgcXyNTv4VgSwVI9cU3MYbs59gv/RCIlD+8g1kLn7IQPYxWcAvSZJ2bOFzhIrGF4FADKEqkGVCZL/0wiScBSC7mVcmjMvveJsgw5gkSdqxfqMg0wpCGjKtSB3xdWIqQ47qUAbJjFkkxdWvd2LMnVOZtnBNfsfdhFgzJkmSdm7xlK2OVarcdZmb9ueqHZcAvy8/lT3CBwA2isWmr5Ikqb5VhLIVc1+lx3svfahR7A/KL27RLTBs+ipJkupXcSmc+ht6HHkhUN0ktrJR7LWZ23jtwd+4bPkRDGOSJKl2Niyv+jFSY8clkZ8U3MpZs/+b6+zcv0OGMUmSVDt7HwOZ1kCKQGqrHZcp4MT0VO7KXMMDDz5gINuOvIWxEMLQEMJ9IYTfhxDOztc4JElSLRWXwoVj4dgr4QuPkTr1N8SQqgpkIUAB5VyZvpPcQ9/g8UfH5nvEjcpuhbEQwm0hhJUhhOnbXD8phDArhDA3hPCdj3jMycANMcYvAZ/fnXFIkqRGorgURl2R/D3iIlKn/poY0tXLlsCBqflckH6So56/mDv/el++R9xo7G4H/j8BvwXurLwQQkgDNwLHA0uAF0MIY4E0cN02v38J8GfgqhDC6UCX3RyHJElqjEZcRKrHUHjiR7Bw4lY9yQpiOd1fv4k7gc/vtbi6ZUYLtVthLMb4bAih3zaXS4G5Mcb5ACGEe4EzYozXAafu4FFfqQhxf9+dcUiSpEasuBQGHAsLJxFCrGp9EUjqyHJvvEScGQmZVskyZwsNZHVZM9YLWFzj9ZKKa9sVQugXQriZZHbtFzu5b0wIYWoIYeqqVavqbLCSJKkBVHbwJ0WsmBmrnCFLhxyBSK58S9JUtoWqy4PCw3au7bCjbIxxATDmox4aY7wZuBmSpq+7OzhJkpQHlcX9CyaQ2rSOOPE3Wy1ZApTHwPj3B3JC/kaZV3UZxpYAxTVe9waW1eHzJUlSU1RcWrUEGYDcxP+FGKsC2ZPZA/nKM2mu7bSoRXbrr8tlyheBgSGE/iGEQuBcwL2rkiSp2vE/TlpfpDJkK9Yt32EPLk892GL7kO3WzFgI4R7gaKBrCGEJcFWM8dYQwleBx0h2UN4WY5xRZyOVJEnNQ8VOy+lP38e+8//I+emngUiOND8cu5i7aVnnWXpQuCRJyo9cjtzVXUiRA5J+ZDkCV5Zf0iwOGPegcEmS1LilUlsFscrzLK/N3Mb0sb9pMYeLG8YkSVLebX2eZeTqzG0s/cvlvPniE/keWr0zjEmSpPxYPKXqx1QqTQzVM2RpIqdteZS+485r9oHMMCZJkvJjwQQIFVEkRjZ3GFD1VuUB44WUsXDa43kaYMMwjEmSpPzoNwrSRRDSkC6k9aj/JKbS1NxbGIBnFmebdcuLumz6KkmStOtqdOevPCw8BeT+dQW5WE4qQiDy48zt/HBsbLYtL2xtIUmSGpfFU1j7yNW0XzqBVKhuefH9skvoeORlfOeT++R7hLvE1haSJKlpKi6lw8k/JKYyW+2w/EnBbbz33B/56cMz8z3COmUYkyRJjU9xKelTrieG1DaB7FYOfP6rzWqHpWFMkiQ1TiMuInXqr7dqeZECTkxNZe+Hz92qNUZTZhiTJEmN14iLSA05NdlWSXXLi1SunFcmjMvv2OqIYUySJDVuR3ydkCogksyQxQjlpLlmeqdm0fLCMCZJkhq34lK4+GHeGXw+b8U9yRK4quzzHBpm8vcHH2jyZ1gaxiRJUuNXXEq3837P6n0vIRMi1xTcwRWZ+7ir4Foef2xsvkdXK4YxSZLUZBxywP4AFIQs6RAppJziRQ826eVKO/BLkqSmo0PvD13qylq+/M/XAZpkh35nxiRJUtOxYSVAVTE/wHHpl/hm6m6WPnRtk+w/5syYJElqOt5+BQgEIjEkHS/SMceXMuOIQPnD/4Q9xyVF/02EM2OSJKnp6DcKMq2AFIFkhqyq91iAVG5Lk+s/ZhiTJElNR3EpXDgWjr0SjvjGdm4ITa7/mMuUkiSpaSkurVqGDKvnEt8cV9mgn0nZoUzLDeKVf77O4D3bM7xvp/yNcxc5MyZJkpquI75OSBdRUcvP+HggANkIf3hmXv7G9TEYxiRJUtNVXAoXjSMc+V8AnJl6jmszt3JwmM1Tb65sEt35DWOSJKlpKy6FgScBsH96ARekn+Tewms4IM7i6odmNPpAZhiTJElN36KJVT+GAAVkGZMex6tL1vLpP0xq1AX9hjFJktT09RsFIb3VpePT0zg39SS5CD94cHqjnSEzjEmSpKavuBRO+RUQqnqPpYj8pOA2zk09STYX+e8HXmuUgcwwJkmSmocRF8GpvyGE1FaB7NqC2zk4zGbuyg186veT+MwfJjWqUGYYkyRJzceIi+CUX1ccmJQEsjQ5xqSru/JPWbCGc29+vtEEMsOYJElqXkZcBENOqWoEC3BCeirfTt9d9bosG5k8f3WDD217DGOSJKn5OeLrVQX9lWdXfikzriqQFaQDI0u65HOEVQxjkiSp+alR0E/lvwa4vGAc9xZczUNnFDaao5IMY5IkqXkacVEyQ1YhVPw5NPUmgx89FxZPydfItmIYkyRJzdfxP4YjvlH1MpAsWZIrgwUT8jasmgxjkiSpeasRyCIQI5AqSBrFNgKGMUmS1Pwd/2M49X/Z0qobEZh98r1JXVkjYBiTJEktw4iLWLnvpaQCvNNm73yPpophTJIktRgFbToCsGn9e3keSTXDmCRJajEK23YAYPP7jaP7PhjGJElSC9KqfdJbbNrsRR6HJEmS1NAWbsgAMHfxMi64ZXKjCGSGMUmS1GK8vDIHQHs2UlaeaxTnUxrGJElSi7FvSTEAHcJGCjKpRnE+pWFMkiS1GPvvnYSxMd1n8s/TCxrF+ZSGMUmS1HKsmAFA3zXPM+SxzzaK8ykNY5IkqeVY+BzJCZURslsaxfmUhjFJktRy9BsFmVYQ0pAubBTnU2byPQBJkqQGU1wKF45NZsT6jWoU51MaxiRJUstSXNooQlgllyklSZLyyDAmSZKUR4YxSZKkPDKMSZIk5ZFhTJIkKY8MY5IkSXlkGJMkScojw5gkSVIeGcYkSZLyyDAmSZKUR4YxSZKkPDKMSZIk5ZFhTJIkKY8MY5IkSXlkGJMkScojw5gkSVIeGcYkSZLyyDAmSZKURw0WxkIIJSGEW0MI9+/smiRJUkuyS2EshHBbCGFlCGH6NtdPCiHMCiHMDSF8Z2fPiDHOj/+/vft3kauKAjj+PURsLCwiNokYCxGCKQISsLORRBEFtUgIFiYkWPgPpNJG0lpEDNGE1UYRsYhpbNOkSAoLowhqkyWgJIWgneFYzAQn68zue/t+3Duz3w/c4l3uve8ww5l35r3duZknt+qTJEnaSR5qOG4NOAd8fr8jInYBHwEvAuvA9Yi4DOwCzm6YfyIz/+gcrSRJ0oppVIxl5tWI2Leh+xDwS2b+BhARXwKvZeZZ4JW+AoyI08Dp6eFfEfHzNpd6FPhz5Llt57UZ/xhwp3VEq6/L+zyWEjEOdc4+1+261nbmm6PjM0fHP2dfa5uj7T3ZaFRmNmrAPuCHmeM3gU9njt8Czm0yfzdwHvgVOLOob6gGXBh7btt5bcYDN4Z8vZa1dXmfVznGoc7Z57pd19rOfHN0/GaOjn/OvtY2R4drTR9TzhNz+nLR4My8C7yzVd+Avi0wt+28LjFqYhlewxIxDnXOPtftutZ25puj41uG13CVcrTPtc3RgcS0Otx64OQx5ZXMfHZ6/DzwfmYenh6fAcjJY0oNLCJuZOZzpeOQNJ85KtWtphzt8tMW14GnI+KpiHgYOApc7icsNXChdACSNmWOSnWrJkcb3RmLiC+AF5j8sdvvwHuZeTEiXgY+ZPIflJcy84MBY5UkSVo5jR9TSpIkqX9uhyRJklSQxZgkSVJBFmMrxv0+pfpExCMR8VlEfBIRx0vHI+lBpa+dFmMVGWoPUEn9a5mvrwNfZ+Yp4NXRg5V2oDY5WvraaTFWlzXgyGzHzB6gLwH7gWMRsT8iDlZxdr4AAAEfSURBVETElQ3t8fFDlnasNRrmK7AXuDUddm/EGKWdbI3mOVpUl1/gV8+y4B6gktppk6/AOpOC7Hv8EiyNomWO/jhudA/yQ6F+e/jvGzVMPtT3LBocEbsj4jxw8P6uCJJGsyhfvwHeiIiPWdLtWqQVMTdHS187vTNWv857gEoazdx8zcy/gbfHDkbS/yzK0aLXTu+M1W8deGLmeC9wu1AskjZnvkp1qzJHLcbq5x6g0vIwX6W6VZmjFmMVme4Beg14JiLWI+JkZv4DvAt8B/wEfJWZN0vGKcl8lWq3TDnq3pSSJEkFeWdMkiSpIIsxSZKkgizGJEmSCrIYkyRJKshiTJIkqSCLMUmSpIIsxiRJkgqyGJMkSSrIYkySJKmgfwFV9VVXZWSC2gAAAABJRU5ErkJggg==\n", 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" ] @@ -1076,55 +1131,172 @@ ], "source": [ "f1, p1 = welch(R3, fs=20.0, window='hamming', nperseg=300, noverlap=10, scaling='density')\n", - "f2, p2 = welch(Y6, fs=20.0, window=signal.get_window(('kaiser', 4.0), 1000), nperseg=1000, noverlap=200, scaling='density')\n", + "f2, p2 = welch(Y6, fs=20.0, window=signal.get_window(('kaiser', 4.0), 300), nperseg=300, noverlap=20, scaling='density')\n", "\n", "plt.figure(figsize=(10,7))\n", "plt.loglog(f1, p1, '.-')\n", "plt.loglog(f2, p2, '.-')\n", "\n", - "plt.ylim(1E-11, 1E-2)\n" + "plt.ylim(1E-11, 1E-1)\n" ] }, { - "cell_type": "raw", - "id": "quick-creation", + "cell_type": "code", + "execution_count": 36, + "id": "coupled-ocean", "metadata": {}, + "outputs": [ + { + "ename": "ModuleNotFoundError", + "evalue": "No module named 'statsmodels'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mstatsmodels\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapi\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0msm\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'statsmodels'" + ] + } + ], "source": [ "import statsmodels.api as sm" ] }, { "cell_type": "code", - "execution_count": 177, + "execution_count": 37, "id": "disciplinary-boxing", "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'sm' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mcx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtsa\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstattools\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mccf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mO2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mB4\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0madjusted\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mcx2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtsa\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstattools\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mccf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mR3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mY6\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0madjusted\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mauto_cx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtsa\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstattools\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mccf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mI0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mI0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0madjusted\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mNameError\u001b[0m: name 'sm' is not defined" + ] + } + ], "source": [ "cx = sm.tsa.stattools.ccf(O2, B4, adjusted=False)\n", - "cx2 = sm.tsa.stattools.ccf(R3, Y6, adjusted=False)" + "cx2 = sm.tsa.stattools.ccf(R3, Y6, adjusted=False)\n", + "\n", + "auto_cx = sm.tsa.stattools.ccf(I0, I0, adjusted=False)" ] }, { "cell_type": "code", - "execution_count": 178, + "execution_count": 38, "id": "harmful-relative", "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'cx' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m7\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlinspace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m5000\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m20.0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmoving_average\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m5000\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'.'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlinspace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcx2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcx2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m5000\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m20.0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmoving_average\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcx2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m5000\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'.'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mxlim\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m2400\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mxlabel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Time [sec.]\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mNameError\u001b[0m: name 'cx' is not defined" + ] + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10, 7))\n", + "plt.plot(np.linspace(0, len(cx), len(cx)-5000+1)/(20.0), moving_average(cx, 5000), '.')\n", + "plt.plot(np.linspace(0, len(cx2), len(cx2)-5000+1)/(20.0), moving_average(cx2, 5000), '.')\n", + "plt.xlim((0, 2400))\n", + "plt.xlabel(\"Time [sec.]\")\n", + "plt.ylabel(\"Cross corr [normalized]\")\n", + "plt.plot(np.linspace(0, len(auto_cx), len(auto_cx)-5000+1)/(20.0), moving_average(auto_cx, 5000), '.')" + ] + }, + { + "cell_type": "markdown", + "id": "cross-river", + "metadata": {}, + "source": [ + "### Another way to evaluate the CX coef." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "absent-mediterranean", + "metadata": {}, + "outputs": [], + "source": [ + "conv = np.correlate(R3, Y6, 'same')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "sharing-stanley", + "metadata": {}, + "outputs": [], + "source": [ + "plt.plot(conv[35000:-1], '.')" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "aware-wonder", + "metadata": {}, + "outputs": [ + { + "ename": "AttributeError", + "evalue": "module 'scipy.signal' has no attribute 'correlation_lags'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mscipy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msignal\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0msignal\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0mcxx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcorrelate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mR3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mY6\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'fft'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mlags\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msignal\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcorrelation_lags\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mR3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mY6\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m20.0\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mAttributeError\u001b[0m: module 'scipy.signal' has no attribute 'correlation_lags'" + ] + } + ], + "source": [ + "import scipy.signal as signal\n", + "cxx = correlate(R3, Y6, method='fft')\n", + "lags = signal.correlation_lags(len(R3), len(Y6))/20.0" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "smart-handy", + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Text(0, 0.5, 'Cross corr [normalized]')" + "(0.0, 3599.9)" ] }, - "execution_count": 178, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "
" + "
" ] }, "metadata": { @@ -1134,43 +1306,44 @@ } ], "source": [ - "plt.figure(figsize=(10, 7))\n", - "plt.plot(np.linspace(0, len(cx), len(cx)-5000+1)/(20.0), moving_average(cx, 5000), '.')\n", - "plt.plot(np.linspace(0, len(cx2), len(cx2)-5000+1)/(20.0), moving_average(cx2, 5000), '.')\n", - "plt.xlabel(\"Time [sec.]\")\n", - "plt.ylabel(\"Cross corr [normalized]\")" + "plt.figure(figsize=(15, 15))\n", + "plt.plot(lags, cxx/len(cxx)*100, alpha=0.5)\n", + "plt.plot(np.linspace(0, len(cx2), len(cx2))/(20.0), cx2, alpha=0.4)\n", + "\n", + "plt.xlim((0, lags[-1]))" ] }, { "cell_type": "code", - "execution_count": 180, + "execution_count": 37, "id": "backed-french", "metadata": {}, "outputs": [], "source": [ - "cf, cp = periodogram(cx, fs=20, window=\"hamming\")\n", - "cf2, cp2 = periodogram(cx2, fs=20, window=\"hamming\")" + "cf, cp = welch(cx, fs=20, window=\"hamming\", nperseg=50000, noverlap=15590)\n", + "cf2, cp2 = welch(cx2, fs=20, window=\"hamming\", nperseg=50000, noverlap=15590)\n", + "cf_a, cp_a = welch(auto_cx, fs=20, window=\"hamming\", nperseg=50000, noverlap=15590)" ] }, { "cell_type": "code", - "execution_count": 194, + "execution_count": 38, "id": "stopped-classroom", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Text(0.5, 0, 'Fequency [Hz]')" + "[]" ] }, - "execution_count": 194, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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hLgiCINQvcyE8OqMkvbwCLRt4WqjmtB0hPOpYUU6bjYV/9PoWQRAEQZjzpFq0HSmnLRfPoQwkPJoaNBrHGLAOF22um4RHbXwlok0QBEGoX1It2o6Y0xY7baE4balBG310py3OYXSMRSCiTRAEQahjUi3ajoSbyWAbU+2iL9Q/Go19FKctCY86yiaQ8KggCIJQx8w70ebYGWwjOW1pIhJtgBrt0zzqtMWiDRvvSG2cBUEQBKFOSLVoO3KfNgcHQyiNVlODJg6P1mDFoi2ZgOHg4ItoEwRBEOqYVIu2I+W02Y6LbZDwaIqoOm1jGJfTpmLRZiREKgiCINQnqRZtR0LZLi6GUItoSwva6MNeyFZ8JJmA4SgHTymQ6y4IgiDUKfNOtKEsbGPQEh5NDRqDzdjYp4rz29zEabPcSLQN7YNDm2Z8jYIgCIIwWeahaFPYQGhkpFFa0GiscVFPyyQ5bfHAeBWJts7vv5/Br/zeTC9REARBECZNqkXbkQoRAMlpSxmR0zYOFb20E9Hm2BkCpSh1biGsjMzsAgVBEARhCki1aDtSIQKAYyJ3RkgH0ezRsSTVo64dybmMisRbk38IS669IAiCUIekWrQdDQmPpguNwTZjc9qMclDGkLGjIfKuHYm2jCpGw+UFQRAEoc6Yn6LNQChuS2rQ6vDw6MHcaRhsbCvObbOjggQPhRLBLgiCINQh81O0IaItTWhMdQJCQmjlMaZGtMVVpJ6lsOXaC4IgCHXI/BRtRklOW4o4UsuPDud0gpEzcKpOWx6AQcui15bRCIIgCEL94cz2AqYTpdTVwNWnnnrqmOM24IloSw0GUy08SFiRuYTy/uVY4/q1/VNHO122w00zvkpBEARBmBypdtqOVj1qodCSjJ4atDq8ECE22KpOW86NnLZHclmGxGkTBEEQ6pBUi7ajEYVHRbSlBQ2HhUdtpVAKrKpoawDAV0o8VkEQBKEumZ+iDSWFCClCq8PDo0opbDV6LBs7bQAacdoEQRCE+mOeijbEaUsR4REKESylqpWjALlMQ/V7rUCHMhFDEARBqC/mpWizUIRKRFta0IwOiE9Y1ppjWWuu+nNDtnHM+VqLaEsDd2/v5aM3PTnbyxAEQZgR5qVos40lTluKiJrrjn0pv+W56/jZe55f/Tk/TrSFItpSwc82HeTLv92JMfL3LAhC+pmfok0pQklrSg0aDstpsy1Fzh2dk9DS2F79PlQKI+HRVDBY8jEGyr7kqAqCkH5SLdqUUlcrpa4fHBwcc9xGnLY0oRWHOW3jWbRwJZBUDkMooi0VDJR8AApeMMsrEQRBmH5SLdqO1qfNxkK27HSgtYlafqhjv5QX5BfwwUs+yHOttWilJKctJQzGoq1YkespCEL6SbVoOxq2FCKkhtAYQgXWBF7K12y4hhai1h9BIM5MGhgUp00QhHnEPBVtluS0pYQg1FF4VE3sglpW9JIPQ9nk08BgMXbaRLQJgjAPSPXs0aNhKUta66aESiy+bOzjnBlhxef5YWXa1iTMDMYYRjK/pWHRPRS9Z832cgRBEKadeeu0BeK0pQIvDnOq4+S0JST93ALtT9uahJmh6IWQOYCd389wWa6nIAjpZ36KNmWjMYRa8trqnUoYbdbHK0RIsFXktOlAvNZ6Z6Dko+wyAEOV4iyvRhAEYfqZp6LNwihF2ZdP5/WOH7fuOF7Lj4TEkQu0N21rEmaGwaIPViTaBssi2gRBSD/zU7TFeU3lUERbveOdoNNmJaJNChHqnsGSj7Ki3MShSmGWVyMIgjD9pFq0Ha25rhNv3OK01T9eUoigJliIEJ8nY6zqn8GSVxVtwxIeFQRhHpBq0XbU5rpW7LQFEiKrd05ctCVOm1z7emewJqdtxBPRJghC+km1aDsayQZfkQardc9oePTEnDat5drXO4MlHyvOaSv4pVlejSAIwvQzL0Wbo6L2dOK01T+J02ZNOKctEm1BIOHRemeg6GNbkcNWEKdNEIR5wLwUbUl4VJy2+seLxdeJhkdD6dNW9/QVi4RW1LanHEghgiAI6WdeijZXSU5bWvBjp82xJibaEsEeSni07ukvDVe/9/3hY5wpCIKQDualaLOVC4y6NEL94sdVoLY1sYlso33a5NrXO/3lUaEWBCOzuBJBEISZYV6KNseONviKVBDWPVWnbYLh0epEBAmP1j2DlVHRFoYSHhUEIf3MT9EWuzIV6dNW93ix+LInGB61LOnTlhaGvVF3TWspRBAEIf3MS9HmxqLNCyuzvBJhsozmtLkTOr9aPSoTEeqekVrRZqTlhyAI6WdeirYk/8kLRLTVO35cTDLR6tHkPCNOW12jtaFUExIV0SYIwnxgXoq2jJ0BwBfRVvckkw0mWohQDY8acdrqGS/U2CoKidrGABWCUM/uogRBEKaZeSnaHDtpsCqFCPVOEE9ESIpLjofktKUDL9Rk7Sg8uiAMUZZH0ZdrKghCupmXoi1jRU5bRZy2uieMRZs7QafNkTFWqcAPNFlrBMcY2kINlk+xIqJNEIR0k2rRppS6Wil1/eDg4JjjThweDaXlR93jn2x4VERbXeOHBscu0Kg1eWNA+RQ8uaaCIKSbVIs2Y8yNxpjrWltbxxzPOFGloS+ire5JHDN3wuHR6DxtJP+pnvFDjW2VaNKGnDFoKxCnTRCE1JNq0XY03KQQQURb3RPo6BqeaMuPJKwq1CdeqLGscuS0aY1RAUVx2gRBSDnzUrQ1ZLMAdBU7eaLniVlejTAZqjltsRA/HknBgjht9Y0farArNJkoPBpaIUVPnDZBENLNvBRteTcSbXcUb+Stv3grgeQ31S3JtXMmmNNmq+g8yWmrb/zAYCyPRm3IogiUlpw2QRBSz7wUbVW3hZCCX2Br/9ZZXpFwsiTFJI5zYoUI2ogrU894YUho+TRpTc7KEVhactoEQUg981O0WZHThome/sNdD8/iaoTJUHXa7InltNl2ItokPFrPeIEhsAIasMnZGXxLnDZBENLPvBRtGScSbasHl7HYaeKRrkdmd0HCSaNNUj06sZy2JDwqfdrqGz/UeJamQWXIWy6hgt5CebaXJQiCMK1MLKaUMlozLfxzZzeLiyHfdD0ezojTVq+E8eB315mg02YlOW0SSqtnyoFPYBkarAyNdhYo0Tk8NNvLEgRBmFbmpdOGZXNFscTppofzSyU6i50cHDk426sSToLEactMsOWH7ST5jBIerWfKfuSquXaOXOyyHhwS0SYIQrqZn6It7tXVqCqcX4lGWT3Q+cBsrkg4SZKctow70fBo9JKX8Gh9UwriVi9OjryTA6BrZGQ2lyQIgjDtzE/RVtMeYoPns9hp5BdbboDNN83iooSToexHotueaE5bfJ6RQoS6phzE48ucPDknD0B3QZw2QRDSzbwXbRZwub2QO7sfYuAnfzF7axJOipIXOS62OsGcNhFtdU0lFm2u21AVbYPlIl4g11UQhPQy70UbwJl7egmAX1hlMGZ21iScFMnmnbTyOB6OHb3kjfRpq2sShzWTaSTvNgCgLJ+uYakgFQQhvcxT0Ta6wXuZdq4qbGa953FDUwPlQs8sLkw4UYphkUatsSY6xsqKzpPq0frGDyJxlnEbyLtNACirQudQZTaXJQiCMK3MU9E26rRlTn0+jjJcNzDEUxmXt/36nYx4ktBcLxRNgfYwrBaXHA8rvvZGqkfrGs8vAZBxMuQzjQC4qkTnkDhtgiCkl3kq2mo2+LXPA+ClhSKf6O7lkf7NfPmRH8/SwoQTIQg1FVWiPdRjr+kxcOJ+blqctromCCLRlrWz5NwWADKWiDZBENLNPBVtsdNmubDymQA8rtfywmK0EWztPjRbKxNOgP6iT2iXadd6wk6bk8weFaetrvHDODzquOSyUXg0b5c4JKJNEIQUM79FW/NSWHwm5dNfwfXBy2kwBoxiyJPWAfVAX8EjsCu0heFhxSVHw646bSLa6pkgiHLXXDtDY64NgKZ8hS7JaRMEIcXUnWhTSr1KKfWfSqkfKaUuP6k7SUJpTUvAyZB7/f9woP0iFJAJHYZ9EW31QO9IhdCu0BFqsCb2UnaS2aNIeLSeCWKnzbUy5LKtLAxC3NyAhEcFQUg1MyralFJfVkp1KaU2jTt+pVJqi1LqaaXU+451H8aYHxpj3ga8Gfj9k1pIrdMW87xzTgUgb2yK/vBJ3a0wsxwcGkJbIW164oUIjiPNddOAr0edNtwGVgc+gdMv4VFBEFLNTDttXwWurD2glLKBzwJXAWcC1yqlzlRKnaOUumncv8U1N/27+HYnzhFE23uuPAfjNtJoLEqhVI/WA/uHo/YsJ1KIkPRz0yLa6hodxs117Wwk2vyAEWtAwqOCIKSaiSUCTRHGmNuVUmvHHX4W8LQxZgeAUurbwCuNMZ8AXj7+PpRSCvgkcLMx5qGjPZZS6jrgOoDVq1eP+2W8wdeINgDV0EGLhgFdOIFnJcwWh0Zi0ab1hHPaXDvOaZNChLrGr4q2DGQaWOMHjFBgxCtS9kNy7sREvCAIQj0xF3LaVgB7a37eFx87Gu8CXgy8Vin19qOdZIy53hhzkTHmokWLFo39ZcMCuOAPYMPLxh7Pt9FqDL4R0TbnMYYzd34a4IT6tDmxaJPwaH2jk/CokwM3zyo/GmdmZXroHha3TRCEdDKjTttRUEc4dtRZUsaYfwf+fVKPaFnwiv84/Hi+nfbCfgJEtM15vAKtpceheWEcHp1gIULitIloq2sC7YGVhEcbWR0EAFiZXnpGKqzqaJjlFQqCIEw9c8Fp2wesqvl5JXBgVlaSb6dD+xhVwsgM0rlNoZv+OD/tRAoRbBFtqUDryFlz4vDoar9WtHmzuTRBEIRpYy6ItvuB05RS65RSGeB1wJSMJFBKXa2Uun5wcHBiN8i30xFWQGk6i51cc+M1PNX31FQsRZhqCj0M2Ba2MbRoM+GcNhljlQ4CE+e0OTnINNGYa6dDuahMDz0jEh4VBCGdzHTLj28BdwMblFL7lFJvNcYEwJ8BPwc2A981xjwxFY9njLnRGHNda2vrxG6Qb2dBPB7nvoP3s7lvM492PToVSxGmmkI3fZZNW6ij+PpEq0dj0abFSa1rtImcNtfOglKw6AzWaIXl9tIrok0QhJQy09Wj1x7l+E+Bn87kWo5IvoO2MNoMHuuKdGNfpW82VyQcBW+okwHboj2ZITrB8KhSyecUcdrqGW2icKjr5KMDizawet8OHs5KeFQQhPQyF8Kjc4d8Oy3xeKPNfZsB6C2JaJuL9HcdoN+2oiIEmLDTppTCMoZQctrqmsRpc5xsdGDRGSz2SmCP0DVcZl9/kbu3987iCgVBEKaeVIu2k8lpa41F27aBrQBs7pTh8XOR4b4D9Fs2bfrERBtE5cqS01bfhMbHMQZlRxMuWLSBZq1BabpHhvmXW7byzm8etY2jIAhCXZJq0XYyOW0tsXOTTEXoK4vTNhepDHbRazujTtsEw6MAtkGqg+scbQJcU1OAsuiMSLQB3cUBntg/xGDJl+ssCEKqmAt92uYONeHRhBF/gi6dMKPoQhfDzYqOTBPQd0JOmwVoJU5bPaMJcQwQt3CheSnNVg6A7pEBKqUMoTZUAi3TEQRBSA2pdtpOmNYV5A2omg/n5XBg1pYjHJ1C0IdRsCS3IDpwAk6bhZGJCHWOIcClxmlTiuaWaJBKWRcIdPRHPFIJZmuJgiAIU06qRdsJ57TlWtGLNtKooyENrWGIZ4YkxDLHKHoBJSsKXy9piieeTbBPG4BlpOVHvaMZFx4FWtrWRd/Y5eqxgog2QRBSRKpF2wnntAFq9bNpj9t+nFXx0MpQ8GWs1Vxie+cwJSfamJeueT6sfs6Ex1hBHB5Fs6e3yAO7JGexHtHoSLQl4VGgqWkZAJZVrB4Tp00QhDSRatF2MthrnxONRQLO8qJ+T/3l/tlckjCOXXv30e1E4dAl514Lb7n5hG4f+aiGf731Id51w8+nfH3C9GMIcQ1jnLbmhkUA5OwhrHiicaESzsLqBEEQpofjijalVMcE/rXNwFpnhtWXVIsRzqpEoq2nJP2e5hJDvQc45Ng0WBma3eYTvr1lQGPYXLqBkbb/nIYVCtONJjzMaWtuXAxEou2s5ZG7LuFRQRDSxEQSgQ7E/9QxzrGB1VOyotmmdSV57bI0CMjpBgD2DvZw/pJZXpdQJVPpo9NxWJJtR6ljvSyPjAUYDL4pYiwJfdcbWpuoepSxOW2ZxkXktGZJU4VXnb2Cx/cPUvBEtAmCkB4mEh7dbIw5xRiz7mj/gDlpRZ1wIULMMwsbeO8hCBrPAmDfUPd0LE84SXJeL522zZKGxSd1+ySnLTQBKA+tpSihnvC1xigdh0dHnTby7TRrzUVrXa44K/qUJU6bIAhpYiKi7dlTdM6MczKFCAC/aP8L/nb471naFlUmHhzumY7lCSdJzuvnkGOztHnFSd3eImquq02IsgIKnj+1CxSmFT80sWgzY/vz5dtp1oahyhBN2ciBG5GcNkEQUsRxRZsxplz7s1KqUamxTbHGn1Pv5HJN6GwrCxesJKMNPYWu2V6SUIMVDNJj2yxpWnlSt1cmCo+GRBv6QLl4nFsIcwk/iJw2B6A2PB47bcP+MI2xaBOnTRCENHHcnDallAW8DngD8EygAmSVUt3AT4HrjTHbpnWVM8wVZy9hzcIGGjr2034wZLAo80fnEkNhCe0qljYtP6nbWyg0Bm0CUDBYKrCqrW1qFylMG36o0crg6nH5jLk2mrWm3y/i2hYZxxLRJghCqphIIcKtwC+B9wObTNxKXinVAfwO8Eml1A+MMV+fvmXOLK8+P3JwzJZddISakcqcTNmbtwyoqHhgSePSk7p9NDDe0BJ2M2LBYFmKEeoJL0yctnGizcnQjMWeMDL+m7KO9GkTBCFVTCSn7cXGmI8aYx4zNbN/jDF9xpj/Ncb8LvCd6Vvi7KGaFtOmQ/aHu3nVD1/F1v6ts70kARgwUThz6UmKtqTlR4MeAmCwIqKtnvBDg1bmcNEGtFgZhnWFwcoguYZucdoEQUgVE8lpG5OlfZSctjmZyX2y1aNVGhdzfrmCayy2D27n9n23T+0ChZOiX0VOyuKTrh5VRE0joqrR4YrktNUTUXj0CE4b0GznGDYBn37o0xQ6PiOFCIIgpIqJNNe1lFKvV0r9RCnVBTwFHFRKPaGU+iel1GnTv8yT42SrR6s0LeYdA0O8ed+FLG1YzlN9T03tAoWTwjORe9LoNp7U7aPwKIQqMo5HyiNTtDJhJvCCSHC7RxJtTp4AuPfgvWhrmKHK8MwvUBAEYZqYSHj0VmA9UU7bUmPMKmPMYuB5wD1EOW1vnMY1zh5OliDTQkvQR1fvAjZ1PznbKxKIRhgB2GMN3wkT9Wkz6NhpK5Rk/mg94cWFCM4R3r6a3SYA9g7vBWA4kB6LgiCkh4kUIrzYGOMrpdaMz2kD/hf4X6WUe/Sb1zdOy1Je1mzz4e6l7M9vouAXTtrhEaYGbTTKmJOahgCgUHHLj0i0lSsDU7g6YbrxA02oDO4Rrn9ztgVq0thEtAmCkCZOJKftB+N/p5S6ZNw56aNxMa1hP232WsBIMcIcwKAnZBEfDSvu06ZVItqGpmZhwozgh4ZQgcPhTmtLtm3MzyUtld+CIKSHieS0XaOU+iTQrJTaOK4I4frpW9ocoWMdHHiYl7VEZuLm3s2zvCBBm0mKNkArqk5bxRPRVk/4YeK0HSE8ml8AQEe2HYWNRx+d3T08uUXyUQVBqH8msvf9FngSaAf+BdimlHpIKXUTUJrOxc0JLvsQNC/jbw59EhXkeaTzidle0bzHoLEnMS5UoaIxVnF0zfOlEKGeKAcBWoF7hJzG5oaFAJydW0wbeQKrj83fej8N33rNTC9TEARhyjluTpsxZj/w30qp7caY30K1se46okrSdNO0GN7wPfKfuYilldU82PkIZhL5VMLk0ZgpcNpGc9q8UPq01ROVwAPAOYLT1hr37jtr/+OMOIpuZwC/19BqBuXvVhCEumci4VEFkAi2+Ps+Y8yDxphC7TlzjUn3aUtYeBp60UZeVCjTVd7DQ10PTc0ChZNisjltCoUGwvhV6wfSp62eKMeizbUOd9raW1byya4eXt/bxbLAx3IHCL0SGXyGpdGuIAh1zoRafiil3qWUWl17UCmVUUq9SCn1NeAPp2d5k2PSfdpqsE55Ie8o7sI2eb791LenYHXCyWKMxppEeNSKO7Uloi0I0x/lTxNlP6p7ctURAgW5Nl5WKNKmNcsDH+UOkqFChoDBYnrrpQRBmB9MRLRdCYTAt5RSB5RSTyqldgDbgGuBfzXGfHUa1zg3OOWFtBqP9oG13LL7FrqL0kpgtojCoydv7iZ92pLwqG/KU7QyYSYoh4loO0Kfvnx79dulQYhSmpJbIbA0/QW5zoIg1DcTaflRNsZ8zhhzKbAGuAy4wBizxhjzNmPMI9O9yDnBmudglM1lgxCakJt33jzbK5q3TEV41ABB4rSZylQsS5ghkpy2jHUEp615KZzyQjjj5SwLonDoPy8v8YblSxgcltxFQRDqm4nktH1QKfWXEPVjM8YcNMYMTPvK5hq5FtTKi3idvQPHX8ktu2+Z7RXNWwxmUuFRZRShMug4FTNIcZvBNFIJY9FmH0G02S78wY/g9CtYFkSTM3pcOGQ7DI1IlXCaMcZgzCTeGAShDpiIYfEm4PPjDyql/lgp9f6pX9Ic5vQrODXYhupfyyPdj9BZ6JztFc1LJh8eVbVN8/HxJr8oYcaoJOFR6xiDWJw8q30fd2Q1Z1QMJUsxPCJOW5r59189zas+d9dsL0MQppWJiLaSMeZI5XX/A6Rz5ujR2PgKAC4rRZvGL/f8cjZXM28x6ElINlAKfDX6iTyIZ5kK9cFoePQYs2fdHBlg6b6X8sJyQKAUg4VJVpELc5qbNx1kV48IcyHdTEi0KaWWjT9ojKkwZsrfPGDhabDoDN7ibsUOlkmIdJYwk3XajFXNZwPw1fx6Gdc7XhIePY7TBvCu56+iNRblg8WB6V6aMEv0FzyeOjSMH+rjnywIdcxERNv/A36klFpTe1AptRiYf38hG69mQ+VxTP+pPNT5ED2lntle0bxjss11FeCNEW3z72Vcz/g6EtnOkQoREtwcAFdtaKUxFnlD5YHpXpowS9y7sw+AIJScNiHdTKR69HvAZ4EHlVI3KaU+ppT6ONF4q3+e7gVOhilrrlvLxqux0Dy7YDAYfrX7V1N338KEMGqSTpuyCGrCo56SN/p6wp9ITpubj08uko/DqYXy8HQvTZgl7tnRC4Cv5QOYkG4mZFgYY75GNLbqu4ALlIFrjTHfmMa1TZqpbK5bZem50LSEa929uHqphEhnAY3BMicv2hQKP755TmsRbXWGr2PRZh8/PEp5kIZ4Iy9WhqZ7acIskYg2YyDU8vcspJfjzh5VSikTMQz897HOmfLVzUWUgvWXcfETN1HoezX3W7+hr9xHR65jtlc2b5h0ThuKIG730aQNQ5aSuZR1RFW0WZmjnxSHRyn10xC/NRV9SVJPI4VKwFOHhmnM2BS8ED/U2McqUhGEOibVY6ymjVMvIxcMsX6kDY3mF7t+MdsrmldozOSqR2tu3aQ1nqUoetKrrV6ohkcn4rSV+qtOWyUU0ZZGCvFM2UXNWQApRhBSzYmMsfp+zRirncy3MVa1rH8RoHhrcx+2v5wbt9842yuaVxgFtjr5UoQxoi32hweKEjqrFwKTFCJMIKet2Ec+dtr8sEQgG3rq8OJr2pCJAkdSjCCkmQmNsQL2AIuB3ycaY3X+vBtjVUtDB6y4kJeEd1LpO4fHeh5j1+Cu2V7VvGEqmusm5HX0JzA41DXpdQkzQ1DNacse/SS31mmLN3HLY7Akjmra8GOR1pCJQqJSjCCkmYnaFS8CzjDG3AGcPi/HWI3nBX9DS2Enby0dABQ37hC3baYwmDFu2Yli1bzsc0RuzUihd9LrEmYGraPB78cMj9oZQI0JjyrLo78ooi1tJOHQfCzaxGkT0sxERVt7zVSEN0zXYuqK06+A817PX5ibaSit5qbtN6GNfMKbCTRMymmrLThIRNuwiLa6IQwnUIigVOS2lfqr4dHIaZORZWnDC5LwaOy0SQhcSDETFW1LlFKPK6U+DCxSahIJRWnisg9hozl3IMuBwgEe6nxotlc0L4j6tJ38S3BMeNSKqgwLpf5Jr0uYGbSpAMcJj0Is2vpwgKzWGMunvyBOW9pIRFpjnNPmi9MmpJiJ7nw7gY8BeeBMoEcp9SWl1LppW1k90LIM03EKr630Y5OTEOkMMWmnrTY8ajUCUCoNTHJVwkyhdeSWuc5xRJuTh2IkxvPGYCyP/qI4bWkjEWnV8KjktAkpZqKi7UfATmPM3xpjNgDPJRJyX5+2ldUJavVzeJ61DW/oLH6+6xeUg/JsLynVaG0wCqxJ9FSrvW2D2wRASRqv1g3GxKLtuE5bDirRNJQGbTAqYKQic2bThh+ODY9KTpuQZiY6EeEXwHDNz08aY/4BeOd0LaxuWPNsGsIhFg6souCP8Ms9v5ztFaWa0Ji4enRqwqONmWhaRrkyhaPOhGlFmyjEaR+r5QeM9moDGoxGWwEjZRFtacOrFiI4Y34WhDQy4Z3PGLP5CMcemdLV1COrnw3Aq5wKGbOI72353iwvKN2E2kTh0UmlVY7etqN5KQADhe7JLUyYMbTxcY1BOccoRIDRqQhETpu2xWlLI36Q5LSJ0yakn+PufEqp42bXT+Sc1NJxCjQt5WUtuxjuuoiHuh5i+8D22V5Vagm0QavJ5bTVCr5VratxjWF/uXMqlifMAIZItHE8p80dddryxhBaIcMi2lLH+D5t0kBZSDMTsSs2KqUeO8a/x4GF073Qk0EpdbVS6vrBwWkMfSkFp17GaQN3kh06EwuH72z5zvQ93jwnDA2GyTlttT3e8m6elYGh04y+Rv73wX38+6+2TWaZwjRiTBCLtuPMl6wJj+aVTWhpCY+mEH9ceNSXgfFCipnIzncGcPUx/r0ceM50LXAyGGNuNMZc19raOr0PdNFbsfwCf7VwG3bxQr635Xs82fvk9D7mPCXQOnLaJiHaam/rOFlW6ww9TpnOoaiI5OZNB7nhwX2TXqswPUThUeBYzXVhNDxqZ2jAIrBCCY+mEG9cIUISLhWENDKRnW8vYAP7jDG7k39E7to58c/ze4dbeSEsv4DXhDfTt/cKGp1WPnDnB/BCaS8w1VRz2iZViDB626ybY53TTI+reWhPlNdW9rVs7nMYQ4DLBMKjidPm5GlQNp4Spy2NHFY9Ki0/hBQzkZ3vK8DDwINxuPG/lVI7gHuJZpEKAM96G83D23ll7mlaCr/P0wNPc9ve22Z7VakjnBKnbTQ8mnFybGhcjFHw2z1Rrc1+8xPKrd+c9FqF6cEQh0dt59gnJjltbo4GbCpKS05bCvGDsQPjpbmukGYmsvOVgdOMMc8AWoEXAm8BVhlj3jR9S6szzn4tLDiNj+a/zbbtS7Bp4I59d872qlJHEISETM5pU4zmQmUzOU5rXgnA451bARhRW1EN26gE4aTWKkwPhgDHANYERZuTI69sPGUYrlSmfX3CzHJYIYI4bUKKmcjO9xngFQDGmK8DXwLuNMYcnM6F1R1OBq78BC2FXfzP2Y9SHjqVX+/5DcbIp76pJAwDNArreEnox8C2xoZH17auwzKGnmJUfBBQQlklChURbXORqtN23PBonNPm5mmwHIyCkUpp+hcozCjeuIHxfiDvuUJ6mYho84CPKKWGlVIe8CGgqJQ6oJQSp62W014Cp7yQizu/gypuYMjv46m+p2Z7VakiDAK0AnuK+rRl3BzZ5mWsCAK0ilIzNWWU7TFQlOkWcxFDGOW0HbcQYdRpa1DRuQW/JB+kUsb4nDZfnDYhxUxk5/s48JdAuzEmAzTFX5+PTEQ4nAv+ADV8kFc1RDMt79h/xywvKF2EYRCFR9UknLYawZfL5KFxIaf4AYETFSJoohBaZ6FvUmsVpgdNGDttE81py9MQC7zAlKlIdWGq8EONYykydvR3Lc11hTQzEdH2JHDAGBMopV4AXBsfLwP3TNvK6pUNL4VMM2+wHyYsreLG7TcRagmzTRVh6EXh0cn0aYsLESxjsO0MNC5mYRgS2kWMMRgVOWxdIwNTsWRhijEqjFp+HE+0JeFRJ0feiqYnKMuTyuCU4YcG17ZwYtHmS3NdIcVMZOf7ELBUKfUuoNEY85X4+LnA30zbyuoVNw9nvpIz+m/F9F7CrqGd/GL3L2Z7VanBhJpQTc5ps+JCBCfp9dW4iCat0ZZP0QvBipy23lL/VCxZmGJM4rRNNDzq5mlIhstbXrXtR6gNoTRirXu8QOPaCteOPoxJ9aiQZo4r2kzEd4wx/2GM+WnN8Z8aY6QR2ZF4xrU4/gi/Wx6gxV7J5x/9vLhtU0QY+mgml9OW3NZJen01LKBJG0JLc3BoCGVFm3pvSYbIzzVCbWKn7QQKEZwcDVWnrVJ12t7/v4/y+i9JhXe944eajGPhVsOj4rQJ6WUy2dzC0VhzKSy/gHdnf8LIgRewc3AnN+64cbZXlQp0EBAqhT2J6lGViLbErbEd8ipyYrb3Haie118W0TbXCLTGKI0Dxx9jVeu0xY12leUxXA7oGi7z433Xs4V/ndb1CtOPH+ooPGrFTpu4p0KKEdE2HSgFz/9rFgeHuHx4gCZO4T8e+g9KgbQbmCxRy49Jhkfj29Zu/Dk7KhzZObC/et5gRUTbXCMIDUbpEwuPOjka7Nh1i522b9+3F9weQrt3ehcsTDtJTtsd++8gt+gWcdqEVCOibbo4/UpYtJG/br+Drl2X01Xq4mtPfG22V1X36DBx2o6ThH4MrFqnLQ6x5d0WAPYNH6qeVyr3TGKlwnQwRrRNdIyVm6fDbQLAcoYZKHp88949KOVjkLSFescLo5y2m3fejNN+jxQiCKlGRNt0YVlw7jUsHtrEBtVBBxfy5U1fpqckQmAyBIEPTC6nbVS0UXVrGrLtAHQWOqvnVbzuk34MYXrw4/CoCxMfGO/maXQbaAs1yu3n/l19HBoqk80EIKKt7vGDKDzaX+lHoaUQQUg1Itqmk42vAOAvV29l3/bfwQs9PvPwZ2Z5UfVNGEa1L5Ny2qwkPDra66sp0wZAb7mrep7nS/XoXCMIDQYdu6THCZE7o+FRnCwrgwDL7ePB3dF1zWdDUIE4M3VOUogwUB4AZWSMlZBqRLRNJwtPhcVn8lz/boy/kLXuS/jB0z9gz9Ce2V5Z3RKEidM2mZYfNU5b3LOtKR85bQOxu6aMwQ+HJrFSYToItEYrM7HwaE0hAnaWFb6Pnelle3eBjGNh2wEoTdkXt62eSXLaBioDgJbmukKqEdE23Wy8muyBe3nHM1wefeICjIEfbf/RbK+qbgnDqIeaNQmnLak8tWve21sbFgBQCiKnbVEY4pnCST+GMD0EoUErHTXXPV54tKEDMs3QtgacDCuDAOUOAJpTFzURmAqokLIvzkw9k+S09ZX7QJnqLFJBSCMi2qab866FTBN/1fUBXrdhKf7Ier6/9cdoI28sJ0MQRj22nEm1/IhFW82x1qbFAHhEo6uWBSEeMnt0rpE4bbWh7aOSbYa/3gZnvCxy2oLIWVPOIBuWNhOYMkqFlDyZkFDP+KHGtoO4Ol+cNiHd1J1oU0ptVEp9QSl1g1LqHbO9nuPSsQ6u/TZqcA8f4XPooQvpKR/iwc4HZ3tldYmOnbbJ5LQlRQw2qnos37yIvNZ4VhGAZUFAWUnv6LlGJQgwChxjVUPbx8TNR+c5GVb6kTizMn2cvqQZX0evpaIv17me8UONZRfjnySnTUg3MyralFJfVkp1KaU2jTt+pVJqi1LqaaXU+451H8aYzcaYtwPXABdN53qnjLWXwvP+Cnf7L3hl+xrQWX6w7QfT9nCDN97IthddxuaNZ7LtRZcxeGN6GvsmTpttH+60TfR5J33aasOjbmMbTfGbvW0MC8OQslUfDkyar/d4yn6U0+hY9ok9bzvLyiDKXVNuH+sXZ9Fx5eiIV5n2dU8l8+l613K05+0HBmPFqQxKqkeFdDPTTttXgStrD6goVvVZ4CrgTOBapdSZSqlzlFI3jfu3OL7NK4A7gV/N7PInwTPfCm4D77B/jjdwAT/deTOHCoeOf7sTZPDGGzn4wQ8RHDgAxhAcOMDBD34oNW/sSSGCM85pO5HnnVSP1jpt5FppijupN2hDo7aoWOBrf5qeydSQ9us9nkpcPbxkm3tiz9vJsjQIwCisTD+rFoy+fgqV+hFt8+16Jxzrefuhxtij+adeWB8ftgThZJhR0WaMuR3ipKFRngU8bYzZEc8y/TbwSmPM48aYl4/71xXfz4+NMc8B3jCT658UDR1wwR+y9uBPaes7F23MtDTb7frXT2PKY3OxTLlM179+esofazYIYxFlj0tCP5HnnfRps02taGujOXbaGo0mY7cCMFgepH9ohC//yxvZe2DqRfZkSfv1Hk85Fm1r7lEn9rztDC7QSAuZbD/tTaO/Knj1Ex6db9c74VjP2ws1Wo1Uj8tEBCHNzIWcthXA3pqf98XHjohS6oVKqX9XSn0R+OkxzrtOKfWAUuqB7u450iT1WW9D6YD3LtgJI+fz3a3f48N3fZgdgzum7CGCgwdP6Hi9oROnTY112k7keVvxbcc6baPh0UatcTILAega6ef+R37Ivy54lNvuu37S659q0n69x1OO888yw0f+/VGftxPNll3btJhVi8uUg1EBUPTrx2mbb9c74VjP2x8n2sRpE9LMXBBtR8omPmpSgjHmNmPMu40xf2KM+ewxzrveGHORMeaiRYsWTclCJ82C9bDqYl6pfsPIoctYaJ/FT3f+lL+/6++n7CGcZctO6Hi9UPQCHt07QJiINnusaDuR520fMTzaUiPaDJnccgC6+vfSWYg2jP2FfZN7EtNAWq/30ajEEzH85iMXIRz1edsZANY3L8RXfWPmANdTIcJ8u94Jx3refmgIa502KUQQUsxcEG37gFU1P68EDszSWqaf815Hrn8b7zotw85Nr+PKVdfwSPcjUTfvKWDxX7wHlcuNOaZyORb/xXum5P5ni+89sI/f/fxdlONQlu2MFW0n8rwT0WbVijbbJW+iP4cGo8k0rQagt38vQ5Woye5gZe4NF0/r9T4aSU5b5/OaTux5x05bq51jyBuiHNY6bfUj2ubb9U441vP2A01AbXhUnDYhvcwF0XY/cJpSap1SKgO8DvjxVNyxUupqpdT1g4ODU3F3U8NZrwY7w9ub72JRc5af3NOBNpo79t8xJXffevXVLPvoR3CWLwelcJYvZ9lHP0Lr1VdPyf3PFgNFn0AbSnEoy42dk4QTed6j1aNj3ZqsiYRgXkNjSyTaBoYPMOJFom0onEOvo5i0Xu+jkYi20tmtJ/a87Ui0NVsZSkGJYW80vlqqo/DofLveCcd63l6o8RmdXiLNdYU0c/LNrk4CpdS3gBcCC5VS+4D/a4z5L6XUnwE/J+p3+mVjzBNT8XjGmBuBGy+66KK3TcX9TQn5djj3GvKPfp1vvu6PePk3Kzimldv23sbV66fmjbf16qtT9yZeids1VHwP7MOrR2HizztpFzJ+6HyWDGDIGpvWllVwAIaLXRTiDX54jk5ISOP1PhpJvpJjZ0/seTuRyG9R0deu4uiM2VIdOW0wv653LUd73n4Yki0/XU20CbQ4bUJ6menq0WuNMcuMMa4xZqUx5r/i4z81xpxujFlvjPmHmVzTrPCiD4GTY819H+UdLziV4sAG7th3J15YX5vHTJKMGqokfbqON8LoGIwWIowXbVH4JWNsOpqjHJrByhDFMBJrw9SPI5NWKkH0N+LE4c4JEzttLbHYrxVt5UD+7uqVUBvazRD4oxk1gZZZskJ6mQvh0flH8xJ44d/C07fwtn0foL14GqWwyH8/+d+zvbI5S7nWaQPcSYi20dmj48KjVjRgPGNc2lo7yGvNiD9MMYyS1ofqpNlumvHiQpSMkz+xG1adtuh1U89OmzCKH2ryqsKANbqV+SLahBSTatE2J3PaEi55J1zxCdzdv+Er+d8SDp/NFx79AvuG516F4lygEjttXpD0aTv5yH61ue648GjGjpp3ZcjQ3NxCi9YMBQXKOkpaH7Q1xki39dkkcaMdJ3ecM8eRaQagOQ6vdhY7q78Sp61+8UJNlgr9tk1LGIk1XwoRhBSTatFmjLnRGHNda2vrbC/lcCwLnv2ncOEfccbIvWR7riAIFf/20L/N9srmJInTljgttjUJp00l1aNjR2Fl7Whjz6gsjY3NtISagi5RisOiFUvRW4zy227fdzu37b3tpNcgnByJaMu4DSd2w4YFYGdoKUUJ67VOW9JGRKg//ECTswoESrEgLkAIpeWHkGJSLdrqgo0vR4UVPnZGiVLvs/jFrl9wcCTdjTJPhooff4qON1hrMgPj49DqeKct57YA4Fp5LNumSUPRVCibUSdme0/khH7x0S/yuUc+d9JrEE6OIG7V4Z6o02ZZ0LyM5kI0kEVy2tKBHxrceO5oc1yJIOFRIc2IaJttVj8bGhZypX0/bcHvoA1886lvzvaq5hxJIYIfJqJtCnLaxr38l2aX87xiiVOIpiE0akXReJSVTy7+9L63ZzsAXaUueko9J70G4eQI/WiDzmQaT/zGLStoGYnE2kBloHq4MsfnywpHxw81GSsS8g12JORDEW1Cikm1aJvTOW0Jlg0brsJ++hZedcaphCNn872tN3Dn/jtne2VziqTlRxiX89uTcdqSPm3jRmHlGhbwuc5uFjmRaGswFkUVUFIha/zocQ/178IYQ3exh95Sr2wQM0wYO22Z7MmItuXkhvYf1i7GE6etbvFCjauiQqF8/EFOqkeFNJNq0Tanc9pqOfcaqAzxeudXlLteTFY1845fvoPPP/L52V7ZnCFx2hTRV2sy1aNxEcP48KjKtQOgM1FBQoNxKKqQsgpZG7ca6R4+wEBlgNAEaDT9lf6TXodw4uigCEDuZJy21hWooYO0ZKIwuBPXlHiS01a3+KHGtaKc0wYrqhAOtBQMCekl1aKtblj7PFj3AlY//hlWOu2sKX+YDs7nS49/hSFv6Pi3nweU45w2paKvk3LarES0jb0Pu6ENABNXGjbgUrEMRcuwPDA4xjBQ6qK71F29jYRIZxYdt1/JxML6hGhZAaFHixMJvuZ4X/elP2LdEoQGuxoeTaakGEItok1IJyLa5gJKwUs+gir18ZH2m7l9Sz97dzwXT5f43pbvzfbq5gSVYLzTljnW6cfEqYq2sdWjblNb9E0uEm2NRI9hFGStBjrCkEGvl/1Do+0i9tZ8L0w/Og6PZrPNJ37jluXRl/i10xxv7KGWpsn1ihdqHBVdv8Y4pw2lCUS0CSlFRNtcYfkz4II/4AV93+UNK7v5gwsvJSicytee+Ho1+X4+syh8lFcu+DRW4rSpSUxEsI8s2lh0Fv8RvIq+ZS8EoMEarVB07RYWhiHD4RDbeke7rz9d870w/SSizT2pQoRItDXHrV6aTdIiQkRbveIHGsuKnNJ8teGylvmjQmpJtWiri0KEWi7/GKp5Of/AZ/nzF6wi7H8u/ZUebt1762yvbNZpzf6aXy8+hGtH1YOTyWlLnDZnnPBbv7SFXee+lws2ngpAkz3adT/rtLI40PQzwu6B0ZYse/qlPctMouNGx85JhUdXRl9iE6a52tdLwqP1ih8abBVdvwY3EvK2CghCcdqEdJJq0VY3hQgJuVZ45X9Az1ba7/0nnr38UlTYxg1b/3e2VzbrhMRVo3EoxJ6EaFvftpS/7O3n8qaVY45nHZv/d815LG+LxFqTMyoMGp08awOLHrvE/v6nadKa5lDTNbT3pNchnDg67pnnZltO/MaNi8ByaIk75jfrpCJZRFu94ocaFTttDfE8WgtNIE6bkFJSLdrqkvUvggvfDHd/huvW9lHuu4i7D97Flr4tDJQHZnt1s4IxBk1SgBCJtmQU1cmQy2R489AwG9oXHPO8FndUGDQ5jZxi8hgFW0ceZWEQsiAM6S+K0zaTaO1hGYN9MuFRy4Lm5TT70WsoEW9a+rTVLV6oUSq6fnk7Fm0qwJecNiGliGibi1z+MWheznO2/RPPWXQlxihee+Nrufx/L6ev3Dfbq5txKoGGOJct+VR9WD7aiZC0+jiOW9eaG3Vom91mNmSiliDDDLAoDFkUhgz78+96zCZGV3CNgRMdY5XQspyWShRiz2uNY0zVvRPqDz/UYEWircGKRJtDiB+I0yakExFtc5FsM7zwb1EHHuI/zvfJ9L+elspLKAUlbt0z//LbKr7GqPhNOP5UbalJvHQTl+44bUM68u3V71uyzZyy4FTy8Sf4hWHIwjCkaKQly0yijY8L4OaPd+qRaVlOcymaH5szBtcYDD5anJm6xA81qMgxzcfVo5YKCGT+qJBSRLTNVc67FtrX0nz3p/jw77yJ/TteRJu7lF/u+eVsr2zGiYbFx2/CVpLbNgVO23FEW0NDC/n4zb8130pu+dmc4UWhtYWhjkSbKh2zkeeOwR1cc+M1DFbqpBhmjqONHzltzkmKtmwzLX5UzJDXkWhThNWWMkJ94QcGrADHgJu08iHEl0IEIaWIaJur2C487y/h4KNc3bqDi9ctYLDnDO45cA/D3vBsr25GKfth1Wkz8afqSTltKhosfbzwaLaxhZY4hNacb4UlZ7HBi5y+VnK0a4fA0vSVRq/Hw3v6efLAqPv2ePcmNvdtZlv/tpNfr1DFGD+aZGCfZHNlJ0dzEAnvvDE4gFJBtXmzUF94oUarkBwKKxZtFqFUjwqpJdWire5afoznnN+DXCvqwa/ykVeeTWngTAIT8Mvd88ttqwQaHYu20Er6tE3GaUvCo8cWbfmGZlq0pklrsvkWWHwmG7wo/6nNbqbNipLhn+jcU73NX/34h/ztTT+p/vzQ3oPxOftPfr1CldAE2JPZj90cLX50DXNGR06bCmM3V6g3/FBjrIAsCjv+e7ZUKH3ahNSSatFWdy0/xuPm4dzXweYfs6H0CP+wNiSsLObv7/4I39j8jdle3YxR9kOIRVsQf52c05aER48t/OxcEy1hItoaoWU5F4QujVpzRuNSluai6tM/+82b+JcHPo0xhq78V9jF16v30VeKXLfdAzI5YSowBDiok78DJ8eySpGslWGlH4XVlAqrs22F+sIPNaHSZJU16rSpUFp+CKkl1aItFVz4Zgg9+NrLuWbHBziz5/cwxdP55H2fZMfAjtle3YxQ9kedNs+KNmx7Ei0/yDRGLlvjwuOed6rvc4ofYGcbQSlOWbiRe3bv47yFp3Fp+zo+PmBYWs7w7U1fY0vvDnD6MZn9HBiMxNqwNwJAZ0FmlE4FmgDbTE60dWjNHS/8HJeUK7HTJuHResUPDaHS5JQ9VrRJYYmQUkS0zXWWnAkvfD9c+h4AvvDMIrnB3wej+P7WH83u2maIShBiVPQmXI7z0SbltDV0wJ/dBxtfcezz3Ab+T28//9HZPVqtuHhj9LV5GVbzUq4e6uS9Q3spqYDPPXI9EDk3t+58GICiH+W79cpg+SlBE07aaQPIBxUU4BKHR0W01SVeoAmUJqccLDv6IGcRRlWlgpBCRLTVAy98H7zk72HhBhYeuoN/fe3zCQqn88Onf0yo07/Z1DptpVi0TSqnDaDjlOOGR8k0YhH/kSR9wRafGX1tWQbNSyD0uLRUxDaG2/bfjBNGn/bvOxiJNqe4K1p3SSYnTAWaEMtM4m3LjefJliMn1DGAhEfrFj/UBJYhZznVnDapHhXSjIi2euLUF8Ou33Lxyjy58sUM+j3cd+i+2V7VtFP2QzTRm3BlKpy2iVLbdT9x2lZcGH1dcCo0LQGg2RjOL1cwGJ5XLLPE12zp3xStV0fh0WIgTXinAo3GnszbVuy0UYkcUNcYjBQi1C1+qPGVIatcrGohgoyxEtKLiLZ64rQXQ1jB3v1brjrlMkzQyEfu/ijdxe7ZXtm0Uls9WramyGmbCLVd96ui7QJ49yOw+hJoWw1A96oreF6pBMDzy0NcUCnR4z0VrT0ecF40I9O/3nlAiMaalGiLuuZTiZy2KKdNU5HwaF3iBRpfQdZ2q06bIpQxVkJqSbVoq/uWH+NZcylkW+HGP+cP2zZT3PuHdBa6efsv344XpncUT9kP0XFOW2nWnLYaAdexLvq6+tnw5p/gX/wuXjZSZE1hAZcVi5xXqVBRgxwqHKJCdF2KqnzMJrzCxAiVxmYSgj1pypuERwGjQgoVEW31SMXz8RTkrAxKqkeFeUCqRVvdt/wYj5OFN/0AGhdw+m/eyQtbFjC45xq29m/lq5v+e7ZXN23UirbyVOW0TQQ7Mzo14Uhjk5SCtc9l4crTWBKGvO+gR7vWnBI34N3Wt4sK0feB0hSD4vSvOeWEymBNSrQlTlv0Qc41BtAUvGDyixNmHO0XKVuKrJ3BrjbX1VKIIKSWVIu2VLLyQrj2OyjgP8/dwodffA3+8Ea+8Oj1qQ2TVgJNqGYhp00pcGO37RgDyjOtS6iQ4ZnWVgDs1nMA2NJ1kIoKaIxHYfUUpYJ0smjM5AR7Ir7jnDbHGIzSjFREtNUjxi9TUYqcnavJaQvxZCyZkFJEtNUjrSvg1MuwH/sWb3rWSs7OvRFf+/zVb/4mlWHSSo3TVrGil+yMiDaATEM0QeFYI6+UotdeRFb5jNhtZFdfBkBX71bKlma1HwmCPYNdM7HiVBMog8VJjrCCUactDo+6ACqkIKKtLjFekbJSZJ0sdvw3qlRISXIUhZQioq1eOf+NMLQftt/KBy5/HqUDr+Whrgf4uzv/brZXNuWUA03tW7BlQKlJ9Oo6EdyG6N9xHm8ktwyAoYbVLFh+PsoYuod2oBWs9aMQ6S6ZijA5jCFUYKnJiLaxTptrDMbSktNWpxg/EW15LDsDROFRuZ5CWhHRVq9seCk0LYWb/5rzF8HbL3wtle4Xc/Oum7n/0P2zvbop4d4dvfzeF+5iqORXnTaY4RdtpvHI+Wzj8JtXAlBuWUdrx3LatOZQOZo7mjhtBwYj0fZw18PsGtw1PetNM+VBfBRYuZO/j3HVo44xoIyER+sUExQwSpFz8tWJCK5lKHoBxhi+dtcuBov+LK9SEKYOEW31ipOFa74GA3vhhrfwVy85jbee80fooIl/vPuzs726KeHenX3cv6ufzYeGCWqMrrko2qz2qP0HC9bT1L6YjjCkO+gFYFUQCYLuoT342uedv3wnH7v3Y9O25NRS6MFXYKzjX4+j4o6tHnUNGKUlPFqnhEHUSifr5Ks5ba5tKHghe/qK/N8fP8Etm8XhFtKDiLZ6ZvUl8NJ/gu2/hvuu570vPpvmymVsGXqQhzsfne3VTZq+QpSft/XQMOEY0TZDoVEYDY8eh5VrTwdg2SlnoxoX0hFqeok3FKuJtjBkoHCQhzsfZtgf5sFDDzLiSe+2E6LQja8Uxmo8/rlHo9pcN8lpM2hx2uoWEzevzrmN1Zw219aUvJDhcnRNpf2HkCZEtNU7F74ZTrsCfvlh3IGdfPD5b8WEOf7hzs/P9somTW8s2kp+WK0eBXBmKp8Nov/fS95+3NOaT38+LL+A/PpLwXZpCRVB3BDYyS9nRRCwq7yNW/feCkBgAu46cNd0rjx9xKINZypE22j1qEactrolLACQzTRWc9pc21CoBFUhLn12hTSRatGWuua6R0IpuPrTUXXjL/6Ol561loX6BWwZvotdA/U977KvUKl+X7ulzkCHtlHOfEUk3I5H+xq47lZoXgpAkxlNlneaVvOGwWE6TQ/f2fJdLll2Ca3ZVn6262d88Lcf5OadNwOwd3gvw97wdDyLVGBGuggAY0+daHMNaGUkcb1OMSaaRJJzm6rhUcfSFL3RiuBQmloLKSLVoi11zXWPRstyuPTPYctPUXvv472X/BEGxUdv/9Jsr2xS9I6Mti+pzWmzZzI8epI0Mposn209hZcWirRWcvja45zOAZ6bX8ktu2/hh0//kO88eSMAb775j/jH+/5ptpY85/ELXRilME7zyd+JZUVNkzFgZ3CNIUT6tNUrRkcNq3OZJiw7EW1Q9GqcNrHahBSRatE2r7jkHdC4GG75EFdvPJ3m8Hzu6/0puwcPzPbKTpokpw0MYU1IdEZz2k6SJtVU/b6laTlWvoP3N6/HMQ28duevef62TRA0of1WtvYeoBJW6Cp18sudv53FVc9tvJEoodyZTPUojLptdgZHWRgFI176+hvOC0w02zebacaOw6N27LQloi0U0SakCBFtaSHTCC/+MOy9B/W/b+V9z/wzDJq3/+yv+Jf7vsDf3fb/ZnuFJ4Qxhv6ih2MpYGzoqi5Em9NS/b61ZTFqwXpeNrCXO858F8t1wEtH9vI6533kww2UdR+HYkFS0F0cKhyarWXPafxCNPHDsSbRpw3GiDY3btJc9CrHuIEwF4lm+UaiLZdtqea02Zah4AXV8KiW8KiQIkS0pYnz3wBXfBye/BGvHLydtbyOfeXH+crmz/Kj3V/lwFD9jFEq3fNlztTbOGt5C6ixos2eyUKEk6Q12wFAXmsamxbAM14PnZtouvfTmGwk6D5w6i5WZhrxGWRb72j+4YOdD87Kmuc6XjwGzFbHmE4xEY4g2nwdUAkkr62eqAQaW0UOaTbTgl0dY6UpVkJG4jxFEW1CmhDRljae/U5Y+Ux48kf885V/QuXga3EHXgnA95+on2rF7G0f5XX2rVywpv0w0VYPTltbwxIAGrWhoaUdzrkGMs3Quw111qtg6blw7/X8Xv8PQWke6Xqiets79t43O4ue4/jFqO+dY2Umd0duTXg0fgtUKpRihDqjEmgsKxJtuUwjKnZgbctE4dFyEh6dtSUKwpQjoi2NbHgpHHyEMxqG+eXb/pqb3/I3GGNx+54HZntlx2XT/kHe8tX7IazQqMpcsLodVYdO24KmFQA0aU2msQ2yTXDe70e/PP3K6BoN7WNpEG06m3oeA2BjyVSdtl/t/hUv/f5LKQWlGV//XMQv9QHgTjo8Gk9FsF3cZPh8zfzRp7tG2LQ/xRXnKaHih1hWNO0g62RRtotlDJYylPyQ4bLPMnrRWsS4kB5EtKWRM14Wfd16M6sXNLCkuYUGs4rtw08c+3ZzgDuf7uHXT3VFoo0yaxc0cvbKpjHn1IPT1tG+AtcYmoxG5eLq5ee+Fy55J5z64qhw5Kp/gsazAHh6YBNNWnN5aZBDpd0MlAe4Y/8d7B3ey+bezbP4TOYIoY8ft0Nxpio86mRHRRujieuf+tlTfOAHj0/uMYRppxJojIquWdbOghX5plbcH7EyeIjfZN/D6p7bZ3GVgjC1iGhLIwtPh471sPkmiPM5Tm09m4q9k4MDc7sLf1/BQ6GxTUijKtPRlOFzbzxvzDm2mvsv28b2pXSEIY3aQCYWna0r4MqPR05Pvg0uvo7Wpmj81WDYy5Ig4NxKlBC/qXcTT/Q8BcDjPSIgKPbix1rdsaYqp83FSV5LNU5byQ8peuLOzHUqQYiOXficnQPLwTYGFTfiVoP7yKiQXKV3NpcpCFPK3N/9hBNHKTj7d2HHrfClF8O2W3jh6otQls8//PJWyv7c3ZB6RzwyBPygqZHOTIkFjRmCIAqBNMRtdevBaWvuWMo5FY+1nomux1Fob16DHQvrJUHI6RWNMvBY92M83b8VgPsOPDITS57bJNMQAHdKCxGi15RSo05bEBo8SYSa85R9jbZip80ZddpU7LSZQiTWLC09+IT0IKItrbzgb+Dln4aRLvjGa3n5U98A4Be7fs3rrr9ndtd2DPoKFVwC/rmjjV+3BeRcGz/O6WpIEo3rIKfNbV7Iv3b1cN3Asdea71jJgjAS0YvDkAPtz2eNH/CT7TcR4JPRhie6HpmBFc8xHvsudG8Z/blGtDn21BUiVPPjakRb0RykxJ7JPYYw7SROm23AtVywrDg8Gn0Isio9fLyjnX4zMKvrFISpRERbWrFduOiP4N0PwSXvZPnTv+ZFSy+hcfGdbBq4nStveBn3HJx98faZX2/jZ5tG+5L1FSKnrawsinb0iTkIo5BhY1w1aNXDyzbbSohF2W465mkNHStZnIi2QOOf9lLOrZTZMxK1AHlJsUhv0ENfuQ8/9BkoD8T9qVLOTe+FB786+nOhBy8RbVMYHnWPEB495NxAufU7k3sMYdqp+JrQ0mRrjlkGiJ02nd/Pt1qb2aIPzsr6BGE6qIPdT5gUtgsXvAmAv247D0tp8iu/yf7CHn6w9UZ29RRmdXlfv2cPP9s0+qbaW/DIWT6epRiyI3HiB1EDzQY7enuuB6cNy8LPttPc1nHM0xoXrWRx3B+sWWfZePb5nFWJKkptA68cjnIQ3/Xrd3Hh1y/ked95Htc/dv30rn0uoH2IrzsQOW1xWNydMtGWxVGR0xaFR6PrEFLAWFKxO9cpByGgcWo+w0TB7uhAKdcT/xRAUIHv/wkMiIMq1Dci2uYDi86AxkWs3P8Yf3XRX2GVT6dVncEvd97Fqz/3W7xg9vJ3ykGIXzNmpq/gce7yaCMdtBQYgx87bfnEacvWxyzZXPty2hcuO+Y5buvyqtPWpFrILFzP2fFIpTVeyHkVD2Xg8e5NqOFL2dC+kRu23YA2Kc+50vFGmzDSRcWOXheZqXTa7NHwaLWDvqpglExImOtUfI1SGmvMiDuqTlt/LmrbEuoA+nbCY9+G3XfPwkoFYepItWhTSl2tlLp+cHCe91xSCtY+D3bewbVnvI7L2j9Ib+cGPNXDgN/JnU93z9rSyn5IECd9l+OqvXOWR45an21BUK6GRxvigdB2w4LZWeyJ8pr/hMs/duxz8u0sCCLR2mR3QL6NU1QTloGzvRINxvCRzgLFXe9gcN/LWaGu4lDhEPcduo/eUi+BDjDG8I93fZEtvTuqd9td7OaRes6F0+FYp22ki0o8SWLS4dHanLa4qMFx9KhoowzKmx9h6DomctrMmMIkC1Cx03YoF7mlhiBybgHM3C3CEoSJkGrRZoy50RhzXWtrfTgz08q658PwAejdzqXrF1IZWQdAU+subnp0dnI+jDGUfV0d6JwMiG9viFsvWBblYi9+kOS0RWLOqoOWHwAs3gjta499jlJs8PKcU66wMBc15G1cuJ6P95S5bmCIypLzeVWpl2V+M+evbuP2RxfT5DbxsXs+xmXfu4xvbP4GuwcP8vVtn+FDt32+erdffOyLXHfLdfXpyGkNmHFOW2dVtLmTnYhQOzDeigJqeZdqIYJWFbD8WXWghSOgQ/jnDVGRCpHThtLY40SbQaOcIQbd6PqFJoDQi+9DKkmF+qZOdj9h0qx7fvT1qRt57mkLcYJl5K1WViw7wC1Pds5KG5BKvCn64VjRlnO96jn9wwdqnLZos7WrDVHTwSqzgG8e7CQTT1FQHafwspEu1gQBmXNeBcDfXejz/qs20j8CTukCdg/tBuDhroe5f/+TAOwaeax6n3uG9lAKSvU5fD5xQ8aHR+N+dxl7qprrZqr5cdnMqNNmVBmlNAVfQqRzitCDkUNRqJPk/WOs0xYJOIOdH81d0yaEMHbaZDqCUOeIaJsvLFgP6y+DO/6VJZ138sTyj/L8BesZZBPD/gh3buvBCzQf+tEm9g/MTBJ2IhQDHYm33kS0OaOira9wqOq0JYUIdeO0TZBSdhEAdmsk2ug4pfo7tfFqQHHF1g/zzB88l6cb/ohXdTkUd7+N0+3T2dr7FJu6o35uRQ7QV45GPW3vjzatXUO7Zux5TBmJGzImPNpJJdMITK3TttDK4Rpoz/+Al+//FKEOQUUb/FB5bjeinnckrnHsmpX9EI6Q02bQ2Pl9OHF4OyQUp01IDena/YRjc+UnwS/AN34Xt/tJ/rBiUQgGyS3+BY/sHeCRvQN8/ZHb+cHDM1NhVfaTlh6J0xaJM8euEW3FLgId/VwVbVa6XrZ+PFw+27E8OpCINicffX/Fx+H0K1HrXoCzcD3vdW/m3asX8KLuu9lb2M/mvk3V+7r3wAOEOqS7HDlsT8euRF2hxzltOoRiD2U3D0xB9WhNTtsCO8tHKln2Zwe4K/MgxaBYPW3IKx7lDoRZIckxjAVY4rTZ45y20Bgy7jCLghDHmKrTVlRKnDah7knX7iccm0WnwwvfD8vOg+Xnc87Bp7j2jGtx2+7mwUOP89vdm2lc+3l+s/8XM7KcUactejPuHYnejB2rJjxa6q5WjzbEm3bawqOmOaowbVwYjbSqirb2NVERybP/FF79BXj15+Hyj6FGOnl3599xuhc5QtuG7+OMksHSNrfuvofOYieG6P92U/fTM/58Jk3ihsTXnUIPGE3ZaQAgM9nmujXVo9guL/fgWSWbe/IWhWJP9bThyuy2wxHGMc5pqwQhKDOmBVDitGVtHxeDawyagN5yP89bvZL7CtLyQ6hvRLTNN57/V/Ant8OGl0HXk/zphteDMmwbfpBHO6MO9LuHZ8adKSWiLa4e7St4OJYCRnOJ+st9BGHitEWiLW3h0dMvfTX7lr2EZevOjA5URdvaw09e/yJYtBFV6mN9PB8zoMKF3ghnlDUPdz3InqF90bkGnu6vQ6ct2ZwTp22kE4BK7LQ6kxXtNX3asFzQAYtDzZBlUewbrcAdFqdtbnFYeFQDesz7gYUiNJqcXcEx4BgIjaav3I9nKfZ787yTgFD3pGv3EybO6osBaO3aQoPdwUh4gKfilhFDwaFqJd10Mt5p6yt4tDdmKAejOXW95QH8RLQ56XTamtecx8o/uSEaJA+Qb4fWVbDk7MNPVgpe/GHY8DK6m3+HfPx/t973eFGln0Plndy192EAzq1UOFSPzoIOCAGTvA4KXQBU7AxGO9j2JN+2anLasCPR1hb6DFsWhRqRO1IR0Ta3GB8eDUFxWPWoNpqs8nCNwcWgCfHDKD/SS1p/CEKdIqJtvrLiQrAc2HsPKxrXYGW76fcOAGBletl8cGjalzA+p6234NHRkKESJ6BbxtDvDRLElV+JaEub03YYSkVu6Av+5si/33AlXPtN6DiN0+NGvKd5PpeUyoDhJ7t+iDJwcbnMcNjNPQfv4Xtbvzdz658sOuQ1K5bxP078wWFkVLRh7DGJ5yeFWxMetWwIfdq1j1aKroHRcPKIL+HROUU1py16P6j4GoMZ835gq8hpc5SHg8ExhhBd/eDnhSLahPom5bufcFQyjVFu25572NCxHivTjZWJ8nkst5dN+wamfQnleHyTr0fDox2NGUqxw7IoDOn3R/DjQoRGN8ppSpvTdkQaOkadt6OdsmR9VbStDLPk1ak0htBV3seSIORUzwcFf/rLd/LRuz/GkDf9QnxK0AH7HIfdVhwOS8KjloMxDpM12sY4bZYL2qcjdmIODY06kwU/ctqMMdy+7/b67HmXJsYVIpQDjVEGe1x41GCwlY9rwDIWGl112iritM0ruopdqWuSLaJtPrP+RbDnbs5uaEHZZez8PhQWyq7wkyef5sM/foKekenrVVWJw6O1zXU7mjKU4zfYZUFIn1+oCY9Goi31TtsEWbTqdN4wNMzf9gxA4xqGVr6YZ5cjobE68FnjRxuUH/oYNL/dfzfD3jDfeupbvO+O97F3aO8srv7oGB3gWYpiIpJGuiDThI8BY6Mm67TV9GnDdsEr0B5Grt7BYmf1tIIXfXh4oPMB3vmrd/LAoQcm97jC5KjmtCVOWzR7VI0pRIicNlv5OMagsCKnLc6P9Iy0/JgvdBW7uPyGy7n7YLpGl8nuN5+5+O3g5Fm3/Q4AlOVz7qJzAXjo4NN89a5d/OKJzmPdw6QYLUSIRNtIJaAl51CJqwaXBQF9YYkg/nTc4EbNVeeF0zYBFq48jfV+wBuHh/DbTuGsC5/Ps0uR4F0ZBJziByz0LMqHXo0JGvjFjlv5gxvfxcfv/Tg/2fETfr331/SWernkG5dy1/6588aWFJ6UqHHamhbjaQ+MM/nw6BinzYGgTEvs9h6sDFRPS9p/7BiIcj2THnjCLDGuQKUSaAxgM/p+YCuFxqDwsbCqTpsX36YQeOPvVUgp/eV+QhPSW+qd7aVMKSLa5jONC+GSt3PKttuqh16wK3IT3vTcRlxbsbd/+pKxk5w2Pxz96toWpbBCRhsW4NCvPXwdfWp2nXhgvDhtAKimxZSJQqj2wtPIr3oGzy5F7tAqP4DWU/mffSM0jjwDt7Ca3+y/hadHHqTSdSVZq4EDIwf4za5HKQRDfPnhG2fzqYzBj3MaixY8vqc3ctqaluBrH2PsMS0eTopsc/TVbYhEG1RFW2c4WgSThOn3HHoIgKGuTQizybhCBM9HK3OE6lFDxjE4yon6tilNf/x30VsqH3avQjoJYlfVT1lIXHa/+c4l72RxqMmraPN6zkAPForFC0ZY3pZnT990irax4dEgNLi2RSX0yBlNh5OnSMiIX8Q1hkwyxsoSpw0ApRjIRD3empZvgKZFrMgt4rOHuvi94WHsM65iperhZwv/nb+uPIhvPAhayfadx8JShZ2dT7CpK6qWfGrw4SM+xLA3zEB5YKaeEUA1lFVSFq//wm8Ihw5B0+LIcTUO1iQ1G+1r4HXfgjNeHoVHgZb4g8MhK3otKlMj2gaj/6Oh4f2TfGBhUowLjwaBj0aNzWlTCo3GKE3WtiPRhsGPHTZfwqPzBj95naRsCoaItvlO4wKsRRtYayLRdorvs0xl2DO0h9UdDeybVtE21mnzQo1jK8raI2egI+7L1u0N4hjIzJfq0RPA6lgLQH7p6dHPy87l+aUyrbkFZNZEbV2WDjzEVaV+MjpLqfNKPrP2IU4PhtkzsJNdg1Hi/WCw74hhhA/99kO857b3zMhzSfB1JNqKSmFrDzPSWXXaMDbWpFUbcMZLoyrScU5bt22T15qcMaOirRRVrw7NsHgVxjGuT1sYeISAVZMuYaHQxhAYjascLBOLtjARbTIRYb6QiDVx2oT0seIizigOsxqHvDGsCjV7hvawqqNhhp02Tca2KIU+OWNojwsPurwhXExVtElO2yiLV0diTS1YHx1YGuUk0rEOFm+Mvl/5TPImw1/sWEV+aAOX9n6PFUFAtx7h4MheLBOJoLsP3Mf/+8UWemuKTzb1bmJL35YZrcDy4vBoyVLk8XC8Ici1EWgfMxU5bbXEoq3BGJQBrRR5bWjQmnJQJNQheyv9APVTfZtWxlWPar+CVmDXjLWzsdAYfDSOsrCxCDHVUXg+ItrmC0l4NG1OmzPbCxDmACsv4i8f+waFuOP8xsII/+M8xSUroL/oM1T2uWNrD887fSEtuUnOfawhEW2+NoTaoA04lkVF++RQdDiNEHbT6Q/hGEPGSefA+ElxwR9C22rItUQ/L4tFW/u6eG7pJ2Djy9n6lT/nioEHwLVwvCGWBG14StPrbeaSUpH7c418/6lfcNt9Z9NV2cH/ufw52MrmUCGaYdpX7mNBfsGMPKXEFSkqizYVD23PNo06bVOo2ZLwqAIIc+CU8XQjbWqYwB+kq9iFHxdEDPkyQH5WOcxp8wlRY502FTlrgTG4VgbbhITK4JvIbfGkbcu8IQmPitMmpI+VF9GqDcv9MizayAuGBwh0QMl+ErtxKx/+1Td45zcf4q1fvZ+SN3WfVMs1Y6ySEKnrKMrGJ2egPRMJkV5/BNeAm9LZo5Ni6dnwnHfV/HxO9LVj3ejc0rbV9Ky6gkVqiDfav4RnXUfOiobUl9QIa/2AZ5bK3N/zSxpP+TQ/7fsb3vaL69g+uL16t3uGZ26yQlLpV7LUqGjLNI3mtE2laqsdPh9Gry+jc+SNIQiGqs/bNoahmmHyX970Zb65+ZtTtw7huIQm4MqVy7nZipxYE0RO29jwqBWFRzE4loOFHYdH4w1cnLZ5g4RHhfSyaCO4jdH35/4e51UqtDgNbC3cQW75d/hl55dwbcUDu/v5ux9OvoLuK7/dyc+fOFTNadMmymcDcC2Lsg7IKYuObCsAISbqbh4XIojTdgza18GVn4Tz3zjmsHvGFfwmPJcblv4lXPUpFmYWV3+3Kgj4SG83z+h6Jt6BN+ANXMTmvie57+D91XN2D+2esaeQNFMuKUU7QzyUzdKrFIGJqkenIzwKYHQk2kKdpUEbgqBQfd7rPZ+BOGxrjOErj3yeGx770tStQzgqNz12gIODJSpBhf2uw2YVCS8deGjGvh9YccsPnzinDYtA1WzgiNOWOioj8C9nws7bxxxOa3i0Lnc/pVSjUupBpdTLZ3stqcB2YPn50QDtja/AAZ7buIb7u3+D5RQw9iDPOa2Jl52zjHt2TL7nzVd+u4vvPbC3OhEBoBw7eK6tKJuQHIqmTCtOnMfiGoOyXZrcJvJxbptwBJSCS94RhUxrOHXVUt4cvI/SM/4QlGJZ06rq75aGFhW/gz8ZeopXnnYVLeWogOHbT30XR4NlYEvv9A2ef6rnSd5zy59WPxH7cZ8+oxQt1iDXLV3E1/serjptk275UYs9KtqCMPrgEugG8kYT6CJ7h/fiGjjV9xmM17d7aDcDYZk9pW5CLc7NdBJqw7u/9TD/90dPoOP/6z5Cvnznzli0qTHV5LaKctoCwLFdrDinLQmPitOWQkp9MLQferaNOSzVo1OAUurLSqkupdSmccevVEptUUo9rZR63wTu6m+B707PKucpl74bLvtglAdlZ3iBip23eCM7a3WZ1R0NHBoqVwsHTpZKENJf9KvhURhttOvYFmUTksVC5ZrpCOPjBrAcvvCSL/D6ja+f1OPPR5a15vnROy/l9y+KxNqChWuq/7eL3YX8xDyHi62neM7KLP+Zv4Wshq7SQdb6AcuCkK1HEW1JWHsy3P/oV/jVgTvoG4hCkV44WgjR5PZTsSy6/HIk2rTNVGq2JDzq23lMGBW+VHQjeW3wTZnt/btY4kNbqBmON/xHuh+JzlNwsHBwChcjjMcPNdrALZs72dMfhcr7jOEjNz2J0gHh+PCoUoSAj8G1IqctVBDGVaM+M1dQI8wQsZjX4z5ASZ+2qeGrwJW1B5RSNvBZ4CrgTOBapdSZSqlzlFI3jfu3WCn1YuBJYPpa9c9HTr8iyo2ybOg4hRcUily19ir+aKANgMULhljelifUhu7hyY22qgSa/qJHyR/d8BPRlolFW17ZkGmkIwmbGgOWw3mLzqMj1zGpx5+vnLuyjYwT/cm3L13NCj9AGcOyphVsabwIV4U8O7yfcwfv4KJy1O7iDL/CWt9j39BOPnHzZj7xo4fg1k+AX+LRvQOc+aGfsb37KAn6e+6FrqeOu65yMZp568UtR/yaod4tLdHQ9u5KOQqPMj3h0dBprAmP5nC0hW88NnVvZ7Xv06I1BQtCHfJI52hPu11Du6ZuLcJhJB8KjIEbH4nGrg3Gu5ZLgAbsmhC3Xc1pA8fKYGETKPBjt8WT8GjqGChGaQubD/SPOZ44bOK0TQJjzO3A+FkwzwKeNsbsMMZ4wLeBVxpjHjfGvHzcvy7gd4BLgNcDb1NKEpymnIWn0dizjU+94FO8qbQD2xgGgn0sb4tyyvYPlPjaXbv4/G3bj3NHR6biawbHOW1FL3HaFGU02Vi0tcefnhzMmPwjYXJk21awzvdZEQS0LDiFkcUXUiTL4vs/hRVWeFY5eiNc7/ms8QN6Kgf43gN7KW76ET13fAp23sEPHn8cd9VnuH/PLrzA4z/u+/bYoeo/fhfc+rHjriXph+bHA9qTnDYANxeJtl6/TGgC0A72VBYixNWjgduEiQsRCLNgMlQIGPAOcUrgVfu4jfgjPNr1EBsr0Rp39W074t0KU0My4s61FbdvjVzNAVuxqDnL7z5j8RGqR6MctlAp3Dg8GlDjuohoSx39w9H7R7ky1lGT6tHpYwVQO7l6X3zsiBhjPmCMeQ/wTeA/jTlyDbdS6jql1ANKqQe6u7uncr3pZ8WF0LcdujazyO9ktR+wc+BplrVGm9rBwRJfv2c3X7pjxwn37zLGUAlCBkpjRdtoTptF2WhyyoZsC+1Vp43qBitMAc3LeG/fAJ8/1E1m4Rrec8XZlJY/BzWwB7KtXFqsoIzh3EqF1YGPh0ep44v8eMUP+J01K3m06xHu2H87dn4vj3Y/zGfv+xHXb/4HvvbwLaOPUeiG8uBxlzJUiYRZxY++Ji0/AMp2dGwoCY9OdcuPxGlzG6uizZgsoc4yaIUY5bPOr5DXkTDYP7ibp4d28TvFIs2hZlf/lmPe/UB5gC89/qWxYlaYMInTtrApSymIhNeApWjO2Lz54hVR9ag1VrR5JEIvi4UTFSJIeDS1FMpx5GecoyaFCNPHkd6Cj/uXZYz5qjHmpmP8/npjzEXGmIsWLVo0qQXOO9ZcGn29+7NANCVhR//TLG+LNrXdvUV29hToLXjs6y8d7V6OSBD3Ywu1oacmzFrNabOggiFnOZBpqslpMyCtPqaOlmUs0Jq1QYBqXcXZK1pZcN5V0e82vpw1TWv59d79nGsvYlUcxrYbdnDZoIUyhjt7n+BgaSsAe0f28FTv0wD8Zndccao1f9ls8R/B8bMYeouRw3agbwAAr0a0DRB/ijaVuHp0qlt+JOHRpmrLD8Isoc5VT1nl+2C1A3DX3lsBeEa5wjrfZ9fg2Fy/L2/6Mj/Z8ZPqzz/b9TP+7aF/Y2v/1qlb8zzCj/Nnm7IOKs4pHLJt8o4PoUeIGhMetZRF8q7i2C6WsgmUqm7gnoi21FFI5smOz2mT8Oi0sQ9YVfPzSuDALK1FAFj2DHDy8FhU67HO99lXPEg+Y2jM2Ny9vZcgfjN9dN/ACd11rbvWeQTRZlmaUEFOuZBtGs1pi3550k9JGEe2GTJN0fdt8Z/f6VdGrV/Oex25dc9mYajJrbuY04JWXtjXjLfzT/lE3z5O9X3uH9oNucgg7yrt40AhKiLYNvgEALrcz+35HI9x/AHdFROJtO7hyJWrDWf0EA8HN2VCk8wenfrwqM40VXPajM7i6YbqKWuCABW3SHmg80EAzvB81vo+T/btqfYuPFQ4xL8/9O98ZdNXqrfdO7y3+jvhxPGD6O+/Oeeg1KjgymcKEAZxn7aanDZl48UvD9fOYWHjU9PyQ4loSxvFOFWBcSPKqtXoEh6dcu4HTlNKrVNKZYDXAT+eijtWSl2tlLp+cPD4IRqhBicDKy+CsAKZJk7xfQKj+fNb/5yWZb/hvp2jaYmP7h04obuuBKNholAb8m7kniU5bVpFf2A5y4Vsc01O21TGxAQAmpdGX1tXRl/b18D/2Q/rng+rnhUdW3ouQdMa3tpf4uXtDlnlc0G5wqawHzsbpR2U/J30ePsAGNLbCcKQA71bKFsWgxOY9ejFoq13JBoTVfsm26WizbZihqMD0xQeNTU5bUZnKOuoaloZiyVBSLYxErYP921mkd1Au9as9QOGGeGWpyLBesPWGwhNyNb+bRTiUO+erscB6ByYvpYpacYPQ3Irvk6Y21J12gBcewjCuE+bNbZ6tByLesfOoJRDoFQk+InCozM5kk2YfoqlJDx6ZNEmTtskUEp9C7gb2KCU2qeUeqsxJgD+DPg5sBn4rjHmial4PGPMjcaY61pbW6fi7uYXa54TfT3tJWyIEzzv3H8nfv4+vFBjKdi4rIVH952YIK4VbQBNuWjTrDpwKtrAc5YLmebRnDYRbVNP87JItDQvGz2WuFjrXwQd6+G0l6Db17FOHeJViyIDfKPvUlHRdVnhB5RUF0V9KBI9donbdz7Jjt6oanTwCM7GY/sG2D8wGlb34tBVfyGqQq0Nj3ba0VuUJjpnymePJk5bthnttwEKE7RRMc0AtHgZbKCh9RQAimGZ1aYBbRSn+NHfxaceewefuv9T3LD1BpRuxqB5vCcSa/vi5ryHeo+d+yYcmXIQ4LZsInB2oNToe4fjDFdF2/jwaFAVbTlsZRMqRUDyoXA010moX8p+yLP+4Zfc+lTXqNM2PjzqxTmypf7xN69rZrp69FpjzDJjjGuMWWmM+a/4+E+NMacbY9YbY/5hJtckHIVEtK25lNOdJm5oezbXnH4NgYrckNUdDVy8roPH9w0SnECvroo/9g+rORu94SYhJh2Hw3J2BrJNLAjFaZs2Ok6BBadGbV7G07Ic3v0QLDmL9lVn0KqKPHPk1/Spdpr80TqhlxYKVCwfrcq0m6gp78+338eOgSjHbdBSEI7dJP/0Gw/xyZtHW4FUklylYiTa/JpPxv32uLUZe1py2kymEeMv4LLGfyMsrqOi2gBYHkSis2PJWdWbZPp8+q12LvUMlw2uwATtfPupb9Fb7sXqvByAR7seRRvNXm8AgEMj+6duzfOIchC9H7gOUFP5aVkjoANCpbBqRpHVVpK6bhYrSqygXHPb2g8FQn0yWPLpGq7w+P5BSpXYaRsfHo3Fmog2YX6w9nlw+T/AuddAywo2FIdZ1rSMkDIoj9OWNPOMVW2U/JCnDg1P+G7HO23l1htw2+6r5rRVRZuVicKjidM2pR1VBQAu/yi86YfHPa1l+QYA8oce4I62VzI80szCQLOCHOdURjfAlzUuBp3j4a5H2B7P7CxYFn5pbJefvoLHts7R10zSO2skriI9Zg7KVE9ESDb8TOSsEbQBij4rCoc+w4/WvnD5mdXpHOsrIS0Ll5NrXMQbwla8/W/l1o7f4X8OHOLSoZCwvIQHDj1Md7GbSvzc9o50HXcpd+6/k/0i7sZQDqLXgmuDVeO0YY/UhEfH5rQlOHYeFee7lWpEWyWcXJ9JYfZJqor7Ch6lss+gZcE4B3WwFLn5Q+V0Xe9UizbJaZsElg3P+TPItUauy9B+FuYXAqCcYU5b3MSlpy4k51r85x07jnt39+zoZWdP4XDR5m7Cbtx2uGhzsuA20B5vlE66X6qzQ64VWpYd/7w1l8K5r4M3fp8nTns7PaaFP+sf4h2qjTX+qMB687Z/5Qy1lAPe/Tw5sq96fHAknhpwaBPmy1divAK7egvouJjFizfjQiUqWkhEm3uE3CMz1Tlt8RgrlYtEW/V16ETVoqcEFUI7x8Lla6q92i5UPm7LEmhcyDJnmKHhYZofu4FnVDyeZW0mLK3m8Z7HqsPm28OQLm+AUId856nv8O5fv5uf7fzZmGUEOuDPf/3n/Odj/zmFT67+qSSizTFjctq0GoHQP2L1aILr5KpFCuWaML04bfVP0r+vt+Ax5A1x2arlPGzGfjAaiR04TwoR6gfJaZsiWpbD4H4W5BYAoJwRTl/SzKLmLG+5dB0/euQAD+/pp1A5PFekEoS8+1sP87rr7+FTP3vqsPCoUgZllat92kKThEezoBTNTiOOMZLTNpvkWuA1X4RTL2N1RwN9ppnfHRnilb0HWaYasIwhrzVLwpB3lLtRToGtXm+1XctgUjm541bUnrtZqzop+5oDg9En4Uq8ofphmUIlwNcBjjE0xiLJqdVuxkFNx8D4TCLaosdstBZjaYtzKxWCbBu5bJam0KAMXKgL0LgIGhbSzhAvte7FqgxSyS7kYuspwtIaCsFwVZhdVK7Qo0t8b+v3+Ni9H+POvbfx6Xs+NqZ324GRA3jaqwo9IaIS92azLQM1TlsYi7aoT9toeHSM0+bmq6KtVCPmxGmrf4L4vaF3pMKIX6BiWfSose2nin70ITCcQDFUPZFq0SZMES0roNjDwnjA+2ue2cLlZy0B4E9esJ62BpdXf+4uzvnwz9m0f6yreduWbn786AEytsVQ2T/MaVMYlFWpVo+G1Zy2qE+Wyjbz/t5+XuXLS3UucOriJnpN/CFocC/+2hezPAhY6weUVr2AFxzaTKOOWomcH4clBgtdfP2e3ezfFSXjt6ooDLq9O/pajjWYUgF7+4t4OsA1hlws1jqCmrw2Y0/tRISWFdC4GL1oY7SW+ENFi7uY8pb/y8qKi47HpjVqi0W+S5vfB02LoHEReb+P1zu/pj+3midW/j5nWHt5Q2k/jVpzw9YbsI3hvHIFXxl+tvNnLMot4eNdPez3BrnrwF081fcUA+WB6jis3XHhghBRCUdz2lRNiNOnMFqIYI86bbUDchwnh6UiQVeqec2I01b/+LHT1lfwKPvR9fTGhUcTlzYQ0SbMO1qWA7Dgu28G4FnrM+RcC200rXmXL77xQv76ig1YSnHTYwcpeSHfuHf3mDmlaxY0UPTC6qbo2slObcCqVMNSgY4+HWVj0UamiWuGR9hoZBrCXODidR287apnVX/OrDiXlw0oXjaoUdf8N3bjIq6xotYZiWjrHenkUz97it59UYPZZoYBw47uETCGSlW0+eztK+Enoi3eo9vD0Ws/5eHRhg74622Y5ecDo6KtIeNQIcsng2spnv0GAN5UyfGOcg4VlCOnrXEh1vBBnmlt4ZaGK3kicw4A/9f6Lq8dHkGjWR6ErIjdoge7HqTc2cJlhQLtGj5459/zezf+Hv/y4L+wM27S21Xsqo71EkY33vFOW4UCaP/wnDarthChAZWINqVQcbh92Bvmw3d9mJ5Szww8A2E6qA2PVrxItPmMFWeJmBOnrY6QnLYpIhZt7cV+lDH0lHr44G8/yHtvey8AF5+ygHf+zqlccsoCbnnyEP915w4+8INNPLi7n/5C9Iezoj1PyQurTtvi5thJUwZll6ubZaijDSvvxqItGzeAlbmjcwKlFGecsq76c7ZjNfcNvo1bS+8m39wGq5/NHw/28161gOfGhsbO3k6GygFt3iFGlOKxdT8ns+jnbO8eQfslynHTZKVC9vYV8UxAxkAufntqDbKjC5jqiQgxTvwhIqlibshEm/83w8swz3obAFevuIDX9j4Z3aBxMTQuBKMJlMMXBi7mQX8dFTIAvHFwGBvFat9nSTC6aZxScnCBVw2P0FM+hGtleKjrIXYM7KqekzTkvf/Q/Xzgzg/M6xFYXpiItsiVB8hoQ5lilNN2jOpRx20YddqURWMs2h7rfpz/3fa/3Lr7rpl6GsIU4+uaQoQ4r7bCOKctfu0EiGirGySnbYpYcg4s3IC75rm0aU1vsYv7Dt3HA50PjGlU+ZIzl7C9u8AXfxMVJvSMVOgrejRlHVrzLsUa0bakJdmIo/Bo4rT5QRQyyzrxSKFsXNUnc0fnDo2jY+FU60r2tl5AT/szogOLzqClfxd/NOLRnI/E/q7+LsCwKOjkUwvaKWaKuPlD7OguUC6PluPbdsieviKV0MfFkI/fnprD0ekEUz4RIcaNhWOpxmlLaI57CXLVP8KiqJI2ctqi/4f9S1/MjmKe3+4e4ZbGq7lv7Z/SEji8Ty/jjweHyMbhYoCLy9HIrnf095Pb+2rOzL+W3UO7efDQQ5gw+pvYM7QHbTSfvO+T/Hj7j6s93+YjycZr27rap22BDimZ4pGrR8c4bY3YViSiPUtVcyS39ERFMo8dOH5FrzA3SZy2UBs8LwmPjmv5Eb92wpR96Em1aBOmiKZF8Gf3wbnXsCAM2dW/jUOFQwxWBukt91ZPu2xjNOpnOC5I6B2p0F/waG90acjYsWiL/rCS4fO2Lsc5bdFtymHUq6vJjTe6ZNTSkXqJCbND48LR71tXcPlZS7jizHi6wqINYDR0b6apbQ2OMRwa6aPN7uQ/OnL8oLkJZaAhX4xEW00PpYyr2ddfpBj4uMaQj5PIMyaPFTtYUx4ejUmctnJciJA4bRnbIuvEr72GDnjj9+Hit8Pqi6M+d4B65lsB6B6u8Os176b87Pewxyzmpfu3cVG5QphfH7UL8Zt4brgfX2XIG8P6YjNbdkXFPbtHdnBhKdpkdg/t5ra9t1Xnld6297apf8J1gpcUIihARe8dHWFI0ZQxgYdWaoxQs8YVIkRDdiIa42rlvmLUJFrHjqZQf9T2Bk1awVTGOWpe3O8xRESbMF9pXsaCUPNwEiICtg9sr36/sr2B81a2cs6KVpSC7hGPvqJPR0OGvOtQ8gIqfuK0ReFPS1dAmWqlT9EbwjKGBid2V7It0VcJj84d3HwkppUFTUt5/1Ubeddlp0W/S5woo8ktXENrqBkORrBXfZNvtDTz6uERNg43o5xhDg2V6R3qrt6tY2v29pUoBT6ZGtFmmwZsYud1upy2ePJCNactG23+ycSOKq0rIsct2wyrLoa/eJKVz3hJtUn0irY8z1m/kEPWYlqC6ANNZtl5rPV9GovL2Kj28nDmIgDObejjOf1bseO34ed5fTQHiu39u/jiY19kZXYBF5gst+259bD1pm2e4tFIwqPK0hCHR3PaEBKi49/VtvkY01w304RV49A3xU5bfyzaKEjRR73i69EIjxWLNU8dZWA86RpbJqJNmDjNS1kQhvg1VTpPx53vE77yR8/if976LDoaMjVOWyZy2vyQcuy0LW2NQkHJZ6BSEDlsJX+YJq1Rh+W0SXh0TtG4EJqXV/ucVVlwaiTmAKtxIc3aUHLKeLkurhsY4u97+lkcQFkPApp9PaOizbY1e/uLVMIAx0BTvOFaNGKbRLTZ0yraquHRqAX/aGj0SCgFrSuwLMUzVrcBkYOccSycBadUT2tbdwH/eaiLy7sWklM+3y+ci29sfnfxQf7F+RJr/UhorPN91gQev9j9M57sfZK3Wwt4cd8hnh7czgd/+0GuufEafrDtB7zl52/h8hsunxeJ9IloM2gcO85pw6DR6Lh1R22bj9o5pI7biK1G8yEb4zBZnxe5u16ciiHMTYbLPls7j9y4fazTFv3NVtAU/SJv/Okb2dK3pTquTJw2Yf7SspyFce+tZreZlkzLGKcNoKMxQ1tDhgVNGXpHPPoKXuS0ZWyMgaFS9Id0/up2Ohozo6ItjHJ9CsEIzdqAHb/ZZqQQYU7SvAzaVh9+3M1D25ro+3wHzVpxIF8ABWdXKnS6K1miAwwaZRfpHhwVHsrWFL2QQhCLNicKbSmasUiGuTtT2/IjxrYUSkU5MkpBzo3eGpuyE3vdXbA6asa7rC36sLF83RnV37WuO5+Foeb1mYcAeDhcyz6zkNMO/QRbGZ5ZjETEWt/nFL9CRZc5c8GZXN13iBcWo8KcHz79Q/or/Xzorg/xZO+TDFWG+Pi9H68+xr7hfYQ1sxcf736cH2z7wcn+d8wZvOoININrxaLNRJ6br6NcplqnrVbAuZaLskZFW1MSHg2iwjQ/fs8R5iZf+e0ufvfzRy4WSVp+wGh41CPkwMgBHu1+lMe7H6+2+giPMP+4nkm1aJPq0Skm38GCWGWd2rqO9S1rDxNtCQsas/QWKvQXR502gIGiR8a2eObaDh764EuqxnU5KJKxLUa8kSiMkYQ1kkIEyWmbW7zs/0X/jsSiWLDk22kyNn682a6oOOw3C1kWh/aUM0zvyOiIKxO/+ZYCH9dAQ7zhWqoFa4zTNg3Ph1G3zbWs6vfHdNpqeMmZS1jakuPMZVE4f82p0azSspXHWRBV256htzGw4AK2mFXsMUuwtIevMrx6ZJiXjRTIBR2sjyvhlpRfA51bWBUEXFNeyzvP+Edufs3N/MsL/4V/vfR/eM6C13PL7lv44dM/5O4Dd/PS77+Uf7h3dGzzPz/wz3zkno/UffuQxGnThDhOItriZsxB5LSNCY/WFiLY7pjK0oZYtCWRAi9uLyTMTQaKPsPlYEyxW0LSXBdG+/d5SlOI3dOBcpEkjiPh0TpCqkenGMtioRuJqNP69rG+ZyfbB7cf8Y9qQVOG/f0lil5IR41o6y96ZJ3Rl52ON2BPl3BsxZA/QrPW4MSfkKV6dG6y5CxYcuaRf5fktTW00xK3XGjVFqVgAZ1+jhXxZqmcYQYLox+oEtHmmRAXaLGzKGNQqhXLxOHyqZ6IUIMbq0HbUmScxGmb2Ovu7BWt3PN/LqvmatodkVBzmxeDm8dkWzDKZuQlnwIUPW5UWbvzlNezrJLlk929PLzg5bxqqMIf957B9gd7sEwkWF68r4fP3WzTPezzkjUv4Zt3jXDj7adxzoIL+fBdH+avb/9rHMvhe1u/x70H76Wz0MnDXQ8T6IBHu6PB9Ul+T73hx+s2aJK3jWS8mX+k8KgaFdmO5WDVOG1ZPfZ14xkRbXMZL0x6dx5BtIWH57RVMBS8SLT1l4rV95NQccQ9ql5JtWgTpp4FcXf403r3cOrAwcMqSBMWNmU5MBi9KXY0ZsjHLRT6Cz5Zt0a0xV8Vw7i2xYhfGOu0SXi0/kictoYFtMRNkjcGmv1mMX1hA6uCKCylnGGGS0MA2MYQxm+yWhlcA69qWM1nOrsxViuWiQpTajflqcaJ3TXHHhVtLRN02g4jDh3bzdHkEHXWq1GXfZClp12IayvKLZGoy533u9yqnwHAwJJn022t5eKBvZxjR+OsfhuexXnuHgKt+dB37kZ/7RU0bPkhYHO2/eds7NhIOSjztSu/xpqWNXzotx/iu1u/i8GgUDxw6AE+ed8nee2PX3vE4gVf+3zp8S8x5A2d3POcZpK2DcaEUYNdIBtvwMlkg6M6bZaLnTTpBrJ67HbnG5mMMJfx4vZQfnh4TlpyLGNbo9WjtU5bqVAVbUA1vy0NyE4onBBnNC7nzKFOnjMyxH7HhrYmdgzsqA6TT1jYNFpq396QwYldjMhpG31jTT7/NFqDKBQjQXFsTls1PCov1brhrFdD6MGyZ7As3wTBMGcXh3hSP4us8lgdDAMtOO4IRW8E8tBqFL6KXNlQaVwUbZkWnl8qc3NzAyoOj1rT+JaVTOlwLFV1gw+rHp0omQZoWjra0+4V/x7dN/CW565j4aL1kL+Y5Rsu5VvmCnKhh7XiAg7u3chFgz8nbF9LWGpgaM1Ladj9T/z985uxf/MJLPtOPmDu597smdz0SB+/+quvMOgNsLRxKZ947id488/ezPWPXc+GxpU4ocete29l99BuKmGFm7bfxAtWvYARb4TVLZGovPvA3fzbQ/9Gk9vE68543aT+/6aDpG2DNrraliUJjyaDwMfktFnjnDZ71GlztIUyBhM7tR7p2cjTyKhoO1J4NDq2qDmL8pPwqKEQtxAqD+0fK9p0gJuSYjZx2oQTYkHLar5z4BCrg4CVcQ+l/SP7Dz+vafTNcmx41B8NjxpTddryduS0DQel2GmLRZ9MRKg/3Bxc+IegFG1xv72NlQoPm9MYNI00m5AGJ08uV6TiR5+Mm7HxjWZVez5y2lDVELnnNGDpNhyVm2bRljhtFpkTzGk7Ii/7Z3juXxx2+P1XbeSKizbAWa/GcWy8ZRfyp/57WNbRwr7lV5CnwqXDN2MvO4erLr8KgNfs+0deY9/JDeHzyeLxvfbP8n+Kn2Lrg3fRpFq56Z/ewqa7dvGhZ38YgJcWy1zYtYOt/VuphBVWNK3gM498hlf/6NW88oev5GtPfA1jDPcfuh+AR7sfPfnnOR3c95/Q9RRBXIgQmID4ktSItsgpO1r1qGu52FbtNA276tLB4X29hLmFF7tpwRGctuTY0tYcrpX0aTMURg5Gvx85gGGsaEsLItqEE6NlWfS1eRlLQ1DAwcLBw05b0DjqtHU0uuRj0TZY8si60fcmDKqfenP2CLZtGAnLNBkNceUgGXHa6pkz8otZGIScX/HYmd3AIJGIW+g0cbb9ENpEifLNysE3ISs7GgiVIaMUOFFoy7dyNHnP46r2f5rm8Oio03aiOW1HZOPVsOqZxz3t7OVR8cKK9jynPPMK/qsjGg/HsmfA4rPAbcDecxdbFr+U9/l/zPeb38jCkS282H6I7K8/wD0/+v/tnXeYFdXdxz9nyq3bK0tZepOmSFVEsGEDY1TsxhpLjDFGY4yJxveNyZtiS4+xJVGxJgRNNKBiQbEgKoi0RXpflu23zpz3j5lbdl1wZfvu+TzPPrfN3HvmzOzMd371z5xe9zxHfXgTzy4M8vSpz3HR9g1MCDlz29s7mpzQXPbU78EUAYZmTeDXy37Nvzb8q3OKNtuG/9wCn8xLWtNsaSfdo8lEhCbqtOmNYtpEmntUSiO5Lnyxrpeic3EwS1vivaFFGWR4nf/biJDUuzeBISuCnWZp6051Dbu1aFPZo21ApivaBhyDWTicQgx21O74wmIFmak73NyAJ9kWKGbJpKUtUWcJwNTqMIwYEkmWlW5pU6KtKzMmo5TFW7dTmDcMM5hLpQwCUBCpwyP2UqQ5rYSyhElUSvrluqINAZm9wJNJ1MhA2gZ+UdRmmaOQamWVHtPWIktbMzl+ZBEDC4KU5gU4anAB3/zOHXDpv2H6LY7V8ptvwHc/o9dlfyMnI0js6O8ibt/FipHfY0T0M45c82sq9AJKtb2csOOPPPnPlXgiVUwMhSnV8thUNpX3VxXxwLF/oLD6+3z8wZkMyhrCwysfZnXFanK9OWyt2crm6s38/L2fU7a/7MsH3ZbE6gEJ8TBxO9GT2EJLK/kBKfdouqVNuOcJDUfM6Yl2eDjdNBpY2oSkOlrNlQuvZFvNtjbcIMWhEDlITFsie/SWWcM5YaQTmiMFVEQqnXWtKAiJcPe3srR1EVT2aBuQ6bYrKp0CxaPpHYs1aWkrCDqiTQjI9ptJ9yiQEm1pdz+GHsLQHXdHhrTTYtpc92jjIq6KrkFCdPedQE7ApBpHtOXXV1Ku6+Ro+9GlJKiZRLGZPqwAqUm8QoNxF8ANy7E1L5YtsaVsk2bxCZLuUa2V3KPN5LgRxSy+eQY+M62szYBpTvs4gMJhkFlMtt/kvR8ezyVTB4AQjD/j21SIHHJFDVXH3ImYeAWXGK9SuOXfAPil4Ly1BZTUBThJfECmNYxPt0WJWpK+xolsqt6ELW0u3OW0c/re69/jyTVPcvFLF/Psumd5Z8c7zC+bz6p9qwC4Z9k93Lvs3jafD9wMQEe0JfpHWk24Rw8c02aSyARO3Tw6ljbneZ5lERawbt8a3tv5Hkt3LgVg9b7V3SrTsCtz8EQEZx8FvQZpxQjY5/Yyro9HsTWJP2GVVZY2RY+l32SYer0TbN5rNCWRenbUbCNmxXh6zdPJO5p8NxEh229i6FrSPQqk3KPxlKVNE2E0w8k2zbClyh7tLiREW79J5AY8VCUsbdEI5bpTw81ng0cziCI5anABaGAKzRHqGUXomnBEmy3bpBtCgnT3aK7r3i/K9B1slXYnvbCw4QtSf8yP2F4wjYHTL4Sjv4MQkuvNBdi+XGqLJjBK28Tfcx/mT577GfL0sYyPfojH0Fi+agCZnkxMdM6vrkRHsHb/WoYEJ9ErWML/LP0frl50NT9++8fcuPhGqiJVPLH6CR5b9RifV33ethsZdbqjEAsnS344ljY3Y/Agoi3RPN5wRZtppMI0bGkm1+0Vj1MvNKrcGKit1VtZuXclc1+cyzs7mi7oqmhfEpa2g5X8MHUNOy0zdF/U8arVxpz2iH5bWdoUPR3TD7PudppnF4+mdzzOrvrdLNy8kJ++91OW73aqvge9Bn5TJy/gnDSbtrSl/SPpETTdEW2Ztg2m23tUibauTXY/Z9/1P5qcgJkUbYWWRY2uUanreKTAqxsk7oWjSEzSL8QCS0psSZt0Q0iQKPmha4JhxZm8+O1pTBmU12a/1xr0Pe4q+lz/b6f4dE4pYsRp6DKO1m8S2YMmcoT+Of3qP2O+OJ7yiM6j5i+Z3+cJptUsZnrexRxfl0uWLRkQFejC4OOPZ3JVxtX8ZdSdGLuv47xBN7Crbhc/ffenxOwYutD58yd/PuB4NlRuYFfdrpZtVNLSFsJKiLbQPkTjmDb3syYtbSJhNU2dN2xpJN2jJXGLqCaocEM7Nldv5jO3p/KKvStaNn5Fq5CwtCUe04nbNkI4/6syrRNIuesejQsLW0h8jeIfuwNKtCkOnex+9I5bxKXFq1teBaDS/acBx9qWsFj4jCZEm5Wqk2RrUYTmirbMPinXkKZBoCBlsVF0LQYfBzetgfzBjqXNdY8Wu4UzN5gmphSYmkkUiZSSGG4igosuBHbCPdqmMW2udcYVb6P7ZLdZId82Y/K1zmO/SVAyFiFt8GaxqN93mB35X57jOEZWvMavzAfJW/oZ39y1G4Cby/cSqDgfGc9hwnvfY8zCH1BV0ZeF7/Yn25vDy5tepl9mPy4edTEvbXyJtRVrWbpjKbOem5VMZohZMS7/7+Xc8fYdgFNHLb21VrOJue2l4hGkW4jZjoXQRUPRFnXbFDWIaXOfGyS6W6QsbZb0JNctcTPfd9U4me9barYk+yivrlj91cesaHWS2aNNWNpkNMT7nmth3ULstGNsn1tvUAqbODZ+t99sd6rTpkSb4tDJKEqe/N7c9iZAgyKd4/rmJDPjNE1QalbxS+PPBDTnnyxdtFlaHK/mmLYzBhzb8Hcu+RccdUObbYaiDREiKcBzAya1+JFCZ3TcEUNrPCYeqeHRTKIi5cYw06wnRtLSJttURJlplrYuS/+jYO7fYeKVTvYpwBEXM6RfCWG8/KPPLYjbthEuOoJz5X8Zqm2nLm8U0yJ1FO32coxnPUXRrQSjeznBt4bN+2L0MY4GYKD/aDLDJ5Lry+XHb/+Yu5bexY66Hdy4+EY2VW3i9W2vUxGu4IPdH1ATreHcF8/llx/8EoB9oX3Ux7681+f63TU8/+5a50UshHSTlSwpk4kImnT2T9LSpqVb2pywCtMVb540S5slzaSlrVfcOQftcuNxt9VsS4q2NRVrmjvbijYkYWFrquSHN7KPQlEFFRuwZUq0VbnFdTVTIkm1LovGlaVNoQBfNr2lc3KMuCfX6ro9yY9/f+F47jpjdPL10cZa5hpv0Nd2MrVsOyXaYppF77hzss4cOqvh7/Qa7bhjFV0ax+oqsL1ZDCgcRVDzI4XAlBoezUNUCGKukG/sHrVtpxKE3g4xbYkiu10SIeCwOeDPgaIRcNbDMONWxvZ1krHG9c0BTcM38SL6C8fKFjz2OwAc49vAbb2WUSP9VMsA1+Yu47QxJXy2egzDckay/4Moi178L4O0i1hdsZrttdu5e9rd6ELnW69+i7+vehxTM4nbcR5Y/gBllWW8v+t9pJRc+J8LG/RGPRD//Gg7iz52Y+biEbBd0YaNEAnR5pxzmrK0aW7CkuGKfl3X0VyhZrkxbaYU5LmW3q21zhyErTCf7P0EXejsrNtJZbjyK0+9onVJukebEG2a21UFK9ZAtCWI6857CfdoKPrlNwxdhW4t2lTJjzZGCEp8+Q3eqqlYn3y+fv96tlRvSb4OuA2f/e4ds0y7+4loNoWWc6eb0X9amw1Z0XHMGF7E+ZP6weEXoB15GUOzHUFvSgOPZhIXIlls15N2IdaFk4hgtbV7tDtY2hoz5mzwZXNk/1z65wc44TCnrRajz3LK6ggNRpxKLLMf38p+m+EVr/KCNYV/W5MZU/0m/2Pdz6Xh1yjcej4PWX/k775f8flyGJsxh28P/Bpznr6O34y/me01O/lo73JmDziPTE8mT699GoCNVRvZVL2J7bXbeXXLq8mbuwOxqypMELcnaDyElGmWNle06Y1EW1MxbYZ7/Oga6K53Le5a2jLRCbgX852R/cl1Y3aMqb2nArBmv7K2dTSp4rru9SItq1dzzxPYsQbu0QRh4VhhE9mj9WEl2roEquRH2xPIKCbHPYx8tk11JCWQf/LOT7hn2T3J135XtPncu6BEyQ9DSiKaJMPaioHAZwbba/iKdqRPjp+ff30s+sk/g8PPZ3ThkQBYIgOPW+Klzk3ZN0VTiQhtXfKjYUxbdyIn4OGNW2YycYBrsfbnwti5UHoUeDMxDz8XX3gvWrCAp8QpPGPNQLdC5G1fzPfM57hj701oAjxeH3/Nfpj3l03m1M3lEK0h/sZCaredjR0poHRvPtPyxwKQbfTCkhbPr3segLpYHUt3LMVuIkYpwY6qEAGREG0RcK3xFja4N3vC7YrRpKUt4R5N1GsTItlDI257GRuJcHjch9cdQ7lVix1LXR9OG3QaAGv2OaLNlrYqAdJBOJY2m3eWXcdf/j2PE+97M/mZnrC02VaTlrZ6t9uF363nForUtvl424vud3ZStC8ZxZRYUKoH6BW3qI7WJD+qjlZTH0/d4fjdW16vm7qfiGkL2lCvadQJSaYns+sFfysOiUkljmir8AxIlmaoCzui30y3tGlg2xIpaeOSH93Q0nYwZv8WvvGC8/z4H8MPtiC++ynZAw4n3nsC4pYNiFs3saHkdHqLClYNuw5x2j0MCK/mquz30cteBqDvthc5ZcCJDA3/mHNX3sHxn38IUmPnRifM4Z9l/8RjS/y2xsJNC5l1/5vc/8o6AMLxMCv2fsrijR8CsNO1tL0YDLDVqge3qbslJcLtVJxoZRZzg8ybLPnhtrPShEha2mJ4uKKqhlvqs7Ftp5RLHBs7XALSWW9CKEJxoJin1j7F3BfmMvmJyXxnseM+bnwTqmhbonGbDK2KJ2JrWLPrKcr21CZdprp1cPeo5R4rCfdoOBpqn0G3A6qOgqJlZBRz/c73kIV9edDeT3UsdUcTCu0jlhaOkBBtPjcRQbqWNr+tU6XbrPcVk+FVVtGewsSSsUip49F8eFwLSX00IdrSWxMJ4rbEstsne9TQesi97AG284HzjnAqzgcdYdPnGw/z31cWcOyJXwOPCUvu55aqxxFiP6szpzKyZim/mVLHS8vWkVFRy0m71jHCvo1o8RQ2WM9QHa1mfDRCVszDos2vUVGfy7LNR1Mf68tZC85iW+02pBT8K/tldlaFsc1qbisq4Mp6C6TbxgqJ0NwK98IEJLGm3KO+HABMj5MApWtpok06Nwa6HcaQqXWkFUTG8sj0V1P87OXMmnIe/63ZQK4vlzx/Hou3LuaRTx/h+fXPowudC0ZcQElGSWvtBUUTSCmJWjYZeogYUOu2u9tfH6U4y4cRd0WYHUPaDWPeDCmJuzd3iTpt0Vj3EW095OykaDMyezG9ai/HVu4h07apTrOshaO1xGtTNZv8uvPP5XV7wllWwj3qXBw+93jJcBuMK7o/Gd4AWvlcBnlOxOM2h69NWtpS95NOIkLbu0eNZEeEHmJpOwB5QU+DosI+n49Zp8/F5/U4iQ7TbkSE94PQGHnlw+DNQiz9LcfUL2KvzKZGBvi/4g/4/pAdGGEnc3hsOMo3q/YQiUKg399YFX+Ahz7+A9tqtxEpn4kQkudWvUE0brMjWA5A2I4nRVscG4RNoqAHQJQmLG2mM27Dn+N+JjCS2abOMWZYYQw7ZcmdIddi1hcz1tMLAdwS8/PKOa/w5xP/zL3H3kueL4/7PryPPJ/jWv7DJ3/guleuU1a3NiQRz+bVnOtJNY7oqqhzLK/GQSxtiSQTIFnyI9KNLG1KtClaRkaR81i+nizbptoKJz8KIYmRugvyagn3qGtpc0VbpnUY0tappYLMRIN4RY/gJ8ddwvXTZuJxm8PXuSVjPFqjRIRETFs7lPwwunL2aHtw2NcgbzAMOAay+8DM26HsFTI3v8Jr5rEs9p/A4L2vcPTSqzgh5hSvHRuJMCYWZfD6cwjvPo247zP+8tlfya/py/jMc5GWlyVb3wdgU0Yl4MSsSZyLtO26RzUJuFbZqHssNIhpE4n6bM4yuiaSF7modESbbkUw7NSl70i5jVP2FHFbbKCzXNkbrNrh3DwEzACXj74cgGvGXcPJA09mftl83tr+Fo+teoxV5avYUbuD25fczsxnZnZ839ZuQsINamqO2KoRTkLKfle0mcmYtjiWbGhpy03LNk24RyPdyNKm3KOKlpHh9iJFOqItEThsW0QFxNKCeBMJCF6RSERIZPhkEauchCdvqRJtPYyvj+8LwI5NDUVbuqUt1caqbUt+mGltrBQHQTfg8pdTXUqmXAP1++DtBzj+/O/iySqGTwYjQ5V8fdU83sksoEj2BdYzRttMUcklmOVvsDy7mof3f8juo/Zy1doBbLE/BX0qW/3OjV8UG+Fa2iwkCImORAgPUJ8UbQ0sbY06ITjZowKQxJPu0QiGnTq+sm2bw8QWxD5HGHiqPufWRxcy/wdnYegaF4y8gN4ZvZnZbyZTSqZQHirn0lGXcvuS27n5jZspD5VjSxtTN7lz6Z3cPOFmFm9ZzDXjriGQ6Oyi+EokWlh53KSUauEcB/uSljZXhFkxZGNLW1o2abJOWyxMd0FZ2hQtI2FpA7JsmxoZR0qZTO1Pt7T5Em1oEsV1XYGnaQbRfTPRMMnx5rTTwBWdCY/pB6Au2kTJD01gJ4vrtt0YErFsek+JaWsJGUUNaycedzvcupGCwePJKuwDJ/wEceJdjI8I3tmyjVDvU4n7Czg1fzdXHjOI2yp387s9xWixHCZ++lMK9OHY5i48eUuwhZtRLgQaKdEmhXTco26Xg1gTlrbE84RoE0Iki/FKt1SIYYWTtd4AqmUvxprbCNRsJJY9CIBBdR/xxto9sG8DZriGE/ufiKEZDMweyEMnPcS0PtO44Ygb2Fa7jWl9pvHimS9y++TbWbF3BZe8dAmPrnqUH739I+pj9aypWMO+0L7W3wfdmISlzXC75FRrccBmf71zzfDYiZi2+BdKfuSlWdoSJT+i8YOXmulKKEubomVkFCefZksNCye1P+y6SdMtbYms0URMm0z0HhUGMp7FrLyfcM24Se0ybEXnwqO7ljY3kcXUGoo2y24H96jRDYrrdiSeRqV6fNmsK5nD2B1Pkz18OoZYxZSabdQGqskQ+3io9nSqjBncu/8eZvc5lr8C3oLFjIua1FFHVAhEmnsUJJqUCFe0Rb2ZzntNWNqS7lEhXEub0zAeHEtbnGykLRBajBqtD8N4DyMW5aOsbzCsche3ep4h+Pw8sCqozRnBgilPc/aEUjxuCz6emMtZWSUcffYiegUdb8Pp+jF8MvxcTM0k25vN7z/+Pa9teQ3LtQSdPOBkfjDpB/zi/V8wtnAsFx12UWvvgW5DY9FmCUAPsa/WdY9aKfeoncgilhJbiAYxbcneo0q0dQ2EELOB2UOGDOnooXRf0i1twSIgRHW0OlnOI0ZKtG3XKple2odfS6csiO3GtGmuK6y3f0TyBKjoWSQtbQnRlp6IIAS2BMuWbVqOw9R6WMmPdqDkjDtZ/HJfjhk/A2regQ2LydiyGIAPrKFk958A8jUuL3+Rx4pyMOwiflq1lx9k1RIVAj2ZiJBwj4KWEG2Fw6FqTcPs0UaWNl0TCJz9abmizbTDxDGQto7QYtSbA/HJNwB4aqOf6cHjmSGXsTg0jGqCXFK5kHcXPMgRK/cwcsRhREafi3f9QvAE6XXKL1m9s5qC7a9S+J+r+NF170LBEKR0+ujWxmoZUzCGz/Z9xqOrHuX1ra8TtsK8tOklyirLGFc4jqN6H0VxMHXzq0glIhhaSmxpRk3S0ua1U+5R2/XmBGxJrS7IbyDanEcl2roIUsoXgBcmTJhwVUePpduimxDIh2gdWRklEP2c6mg1uputE08Tbfu0WvZrOuWWU0A1kT0qXKtKdyxqqmgeHjf2p84NME5YSiAlouJtXPLD6MbFdTuKwuI+zPyG00CeEafBkvvg5dsICx+rZX+u7JsDA24m7+kLGbfpHKJ9ZpEnv41HSsfSllbyA2w0CfsyDwM+J5rZC6rWHDQRQWvgHnWFnIwTkwa4cW313uHJ9ddbJfSbeBmTJ5by/HOfMLZ3BvVrPufeqj9hbLeI7/Ry/3/XcashIVqL/fmbfONZwb3aIxTaMVj7Hyi4ASEE1x5+bfJ7Tx54MsXBYp5Y/QR3HXUXizYvYt6aeTy//nkCRoALR16IqZvoQqc4UMyJ/U/s0fFwCUubJlJiS+g1yZg2jx1mg2nQz4ok3aNBKamlkXtUuK50N1xnc/VmwvEww/NS+7yr0a1Fm6KdyOgFVoQsTxZEoTpSjT/ixCbF0i6y0k1ACEnnwpxwj4pEFXPlluqxmEZCtDli32wU0wYQs+w27oigLG1tSp8j4dhb4fWfsy04HiukM6ZPNgw9CcuXyzl1H/Ja9ll4qkLotkZEkwi3HZEN2G4iwpb846DiRaIyYak/iHtUc0SbISUWqWMqho50S4BEMkcBTrJC8cDRnDW+L72yffz9isnOwv3vgGcu4Zn4scw13uC7xnPspIAcaqlbPp/KmhMZ5/0ABKxb8jwLQydy/agolIxrsPkXjryQC0deCMDEXhO5/ojr2Vm7k/uW38dfVv6lwbK/WvYrZvSdQZ+MPmyv3c7Xh36d8cXj2VG7g8JAYYObmm6BlPDX2TDxChh1ZjIRQRep/tTCqE1mj+7Va7imuIT/je1NukcDtg3oDd2juiPa4q7n595l97K9djvPzXmuPbaqTVCiTdFyBs0AaZNl10Gt0wkBt21Iuns0Idrq3UKJiTZWCUtbjylqqvgCKUubK9r01EUpEccWs9q65IebPapuHtqO6bdA9Q42RkfBPhjbJwcMD9qorzHrwycpLzIwN9YjZCYRYaGRugDbOHXairMDUAEx68CizUi2sYJqmYWQFdhpeXcxDJAepNQJBvIhfzCEq/nLN4/74pgPOwNuLmPJC9s4cvN1DA5/RtWAk/l4w1omr3+Zo7Q+ZIoQZfogBtavpOSN78OSN+Hcx1nqOYq31u/lxhOGpeLhbAuERpYni6y8LP50wp+oi9Xh033Y0mZl+UrmrZnHG9veoDJSid/ws2jzIs4ceiZPrn6SSSWT+M3M33QvS1wsBJvegt6Hw6gzU5Y2LV201STrtC0O1iKFoNaOIRLuUWkjcLKBE3gNP2ATd5PeqqPV7KpP1Q7tiijRpmg5J/8MgMxX7wSgOrwfj+sejaUtFvRpEAZbd10erqUtEaNiGkq09VRSos0JPPZo6SU/nMe4ZacufG1A4qZBlfxoQzQd5vyGyeEYD47cR2m+s9/F2HPxf/gol+evQsTrkTKXmLDwCYtEkYOYjKNJmD22lF9thKhrPWkqezTpHtUEu+wCdFlHPM3SFkdH2ibS8pPtN2HMORBKNY//AhmF/Ob8QlhxE/zjSvoefR5/2fAyp1gf8ID3j0TwcWfoXJ7w/Jyz9DeJo1P13E38NnQl07UVbNrmY8jxl7ElMIr+Tx2HGHEqzLo7+fVBt9+yjs744vGMLx6PLW0iVoSaaA0X/+dinlj9BJN6TWLZrmWc8o9TMDWTiBWhKFDEd8Z/h5gVw9RNpved3vL91N64RbVxs8cTMW1Cc4W5lGhGNRV1UaoiVSwJOtcOS9rotg0aBG2JDz2ZMQpgGn4MWZu0tNXH66mKVBG1onhcK1xXQ4k2RauR5csHoLpuD0H3/8YSAsu20DUdG+cfrdqtsSMbx7Spi2WPxeNxOmHUuVnH6e6fhHUtakl8ZnvUaVM3D21Nls/kpFFpSUf9JoM/D+3zxWDHkdIkIqL400RbVFroSDy62xEhWTLoIHXahEBKHSl1rDRLWxwDafmR8QwyfSZM/0HzBj7mbOg1moyikYSH+7h7dQU3+xawr+8slpeNJu7NISz8fKv6Ev7q+QVPen5GDAN7m6D8ibf5XWgOvzY/x1r6R+rGXorMHkCW32iy37ImNPyGH7/h57GTH+OzfZ9xXOlxvL3jbV7Y8AIe3YNX97J0x1K+9eq3kuv9bNrPeG3La5RVlnHn1DuZ0GtC87atIwlXOo8J0eZa2oTrHi2K22w1atlfH2XBhgVEEkZLaSFc92iWbZOBgddOiTaP6ceUNcRdr059zAnN2Rfa12VbkSnRpmg1goF8dCmpDpWTo3mT78dlHB092Suwykq4RxtZ2lQAeI/FdC1t22LVmFKSmXb8JBMRLLt9OiKom4f2R9OgcDjs/Nh9w0NE1CdDKgBi0kKToCc6IjTD0uYcOzo0Em1SN4jsPRkhomQc8RUug0JA0UgALpgykCvWzuGiq35K/4JMllkaxu6nCfpz+blZilzfC4HNipyT+f2jj/IIv+Zn3r+yz+hNIFLOx3+8jNV2KblZWYyaMJ03xZGMK83nqMEF7KwKkeUzCXqdsZVklCRFxrQ+05jWZ1pySBErwsJNCykKFPGbj37DD5f8EE1oFPoLuey/lzGmYAz9MvuxP7yfUwaewqwBs6iL1VEYKGz+drc1oUrnsZFoQ4thSEmxFWebUUPMknxWvpagJanTHYNAQrRdVVnFhuAkfPLz5NeaZgDDAks615rdNU7x7vJQuRJtCoXwZTv9R8P7CRupzgYxK4ZX9xK1E5Y2x5qSiGnT3DtnFUvUczFdS1utHeXwmIWZ5rpIT0RoyySBZO9RdfPQMeQPho+fdJ4LLzEhiJPa33HX0qa7x0bM/mJMW8JilYppE9jRPIRe08A9KjUPRAqxJWT6Du0yePSQAlbddXLymAwaQOkUBNAbYKLT/upIYOKJ57N/5SJyKz4h/6Tvs2frOqZ/8geO0tcg6uPob87DY/fBRrBHD3Fe+HbCWpBL+2znGzPHEhg20+lEsX8zZPVxnrt4dS+zB88G4IGcB7j73bs5c+iZTCiewJNrnmTx1sV8svcTTM3kjnfu4I53nGzerw/9OjcdeRObqjexbv86SjNLmVwy+ZDmosWEK/l+YT6zI3s4BojEXbEu4vhtSZFlYZo1hIDy+krybIs63UBKK1nyY0AsTsDy4013j3oCmCGJ5R4rtlUJGuwN7W3f7WtFlGhTtB6+LKeVVaSKkEydbBMn14SlrdJNv040+hXuCdajLpY9Fo+ZKsx6RCTmxD65pERb23ZEUG2sOpj8oZDoIyn8RIQgnrYrotJCl6C7x0bC0tZUnbZUTBtE954EgC12J5eLY+A1NMIx23GPHiLNvYm4duYQGHovvP0AjDuPoiMMmHoBRsFwdleH2PHuc4za/Fd2hb34a9bwQvY96PF6gnv2w9OwLPdU/hI6jj+Ev8+GopMYes08RBNu/AJ/AffNvC/5+soxV3LlmCsBkFKyeOtiyirL2Bfax5NrnuQf6//RYP1zhp1DtjebbE82pw8+nQJ/wSHPzVehvm4vL2UECdhVHAO8vWc+wpMBWhyvlORbFsLv1PesDFeRb1lsNQ0saSFckaYBwoo0FG2G380cdjr1RN3C7uWhciJWBFva+A1/u2xja6FEm6L18GaSbdlURasIizT3qNVQtFXZrmizGlvalGjrqSQaxgMcHo40FG0iUaetbd2jyUQEZfHtGAqGJp8KPUi0kaXNiWlz2t5pQmvSPdpUTFsiJi6e5h61hIHP1F3R1k6Xwb4T4Ny/p173GgNAcZ6H4lOvAK6gFGDLe/C3OZA/lCVD76fs9Se5dP9/GGgsQyIYtudl/vKr7/FRpDe9YtuIG0G29pvDN6f0YmppEDIK+WjLfqrqo8wYkSraK4TguNLjOK7UyZA9us/RrN63mqG5QxmSM4QnVj/Bk2uexBAGcRnn/uX3c0yfY/AaXjZUbuB7E77XwC3bmlTUOhmd22SUinAFC3f/GTP7ONAtvFKSZ1nYWgiwqI5U0stKtEK03Rp+brJCI9Fm6F4MCRZxwvEwCVvCrppd3L7kdirDlTw066E22aa2Qok2RevhzSLbttkfrSWkZyTfjsWcGLZoUrQ5Yk26RRF1Vaetx6NrOrqUWEI4oi39QpxmaWvTjgjK0tax5KdEm2YEiQuRbAoPELUtPEhAoAu9Sfdo444I6XX9bNlItOk6ECOrvURbcymdDN9dBb5spukm+cOmYj1/EvlVm5BnPcz2V37PVVWPOMvqgIRVWxfSZ/MOanSd/xv8OMPW/I4pYjWfnfcU2b0Hs3FvHeP6ZTewKk7vO71Bpultk2/j6nFXk+nJZHvNduaXzWfBhgXY0iZgBvj2q99mZP5IyirLmNxrMoNzBqMJjZMHnsyw3GEAvL39bQoDhcnXzaUitAeAbVhsrt4MgNBCICz80iY3kU2q11MbqyLXLethYaO5Ik0AmhVFx+ldGxcCQzfQAUta7K6tSf7ejv1bWL5zMftljPpYfZcqn9LJjlZFl8aXTa5lszFeS8gt3QAQc6vcJyxt1W7WVzKmLSnalKWtJ+MBirUAefEopJf8SNRpi9tt2hHBVDFtHUvuAEesSwvdzAQJ9Wk7PCZt/BIQGoZmHDSmLb33aIL0mDZbM/CaznoZ3k5YqDaYckuOLC2G8x+HTW8jRp9FnxGnweZ3wPRD7kAoW8RhL9/GFv8o+lYt48x1tzBBX+vExz1zBtfb38Mbr+Ynxt94cegN9J96Nuu27+HU8YMoyvRh2zIpbvN8eQAMyB7AjUfeyI1H3phsx3XnO3eyq24Xpw48lSXbl7Bk+xIkkr+s/AsXjryQucPmcv2r15PhyeDp0592kh38heT4cr50cytC+wDYpUnKKssAEFoYS7PxSkmua1kTRh0hu45sy0aXElta2K75TAc014vjk5JaITA1E10KLOJsq0yVdNlQuY690rkOrSxf2XGxfIeAEm2K1sObRY5tsT8eSjaMB4jFE5Y25+6oBou4HU/GtBm6amOlgCwpOFILArLJmLZoG2ePJtyiqiNCB2F4ILc/VHyO6cmGCNRpGj7bJqxpTvYogNDQhU7IPa+ku0fz/fkcX3o8RxQd4XyWvi/TjikLE5/hvG4392hL6DUm6U7F9MOQ41Ofjb8EcfhF9Nc0+M8tTHj/QcgbxCdH/h+9F36TZ7TbwashpaRv2Y95ed0CLtbe4ZdvXsO2QXNZ+enHHD80h1nTppCVkUE4btE/L0B+hhPiIoQg05PJvTPuTf6klBIhBFWRKh5Y/gBPrH6C17e+js/wEbfjnL3gbGpiNfTN6MvDsx6mJFiSFNT7QvvI8mYl68x5NA8VkUrAKRF1z1svOspED2NrFn4pk5Y1YVQRk1GybKdUsiXtpIhxLG2OaPO6La0MzeO6Ry12VFclx7+2flPy+fI9y5VoU/RQDA85UqNexqlyT6gAMdfqFpUWiRCV6mh1suRHwpWhYol6Ng+GA+R7nDv99Aus1qD3aNuX/FBu+g4kfyhUfI7PmwURiAmB37YJAzFsNCQIga7pWO5NX7qlzdRM7p95f/K1aKDZUpc7WzPwmRq6Jgh4UsdalyWRlDDjNqjZCUfdwBH9JrFryHvwwS/RwpUw83b0x87gjNp3iWb256bqh3hj3Yf83vs+bIGNjxczN3onpWI3vT0hjj3lHAb3LuTzvXVsqajngsmlFGc5sacJAZbtzeaHk3/IhsoNLN+znO9P/D79s/rz249+y/S+05m3Zh5nzD+DuIwzo+8MZg2cxY+W/IjTBp3GLRNuYfb82UzJPxPvnt2Q5WxCrfgMAXj1OuLCxmdJclz3qNdf4fyu7XQ/sKWNhYaQ0hFtrhfHZ0uEJtF1Ex2Bjc3OGke0FcQtyl3BXhy3WL57OR/s+oB/lf2LHXU7uPvouzt1OZBuLdqEELOB2UOGDOnoofQYctyaa7vidcn3EjFtMSmToq0qUoVtuaLNvViq7NGezSAzE9yetYgvJiJYtqQt696aSUubOg47jIKhsP6/+H2Z4JTUSgaWR6WFIXFEWxO12Zoi3dKmp7VGs4SJ19TJ8DZd2LbLEsiDcx9PvuxV3AtOT1nIPFcvhmgNPm829p+O5sTaD+Ho71IT6Evpaz/mbd8P8UQrAah56bf8In4eFhrn6Yu59Z3LyBg6jZpwnBtPGIqpayz4ZAcXT+nPPTPuYeGmV5j/Zh+mDCzi2dnPAnBS/5N4Zu0zSCT/WP8PXtnyCl7dy4KyBehCpzxUzvJdnzLKTt3kC925yc/Vy4kJG48U5Lnxz6avHBunkK4uBba0kIDuXlgSos0jJSaAZqAjsLDYW+ccUKXxGOWGTn7c4ri6ep7fvZyrF11NwAxQF63j0VWPct2465i3dh7nDj836TLuLHRr0SalfAF4YcKECVd19Fh6Crm6H7DYmfZPGHNdpbG0PoJVkSqkW/DQEBoglaWtp+MJQl2587yJNlZAu2SPqs4cHcjYuSBtgv6c5FseNxkwKlPdQw2ROj7SLW2NSY9p03SDxCnI0pzs0Qxvt74EfpGMQsApqqtdsQhi9VA4nEyA4kHoC74DR12L1Wci8Vfv4ae7HgXANnz8yfop/94wk6Bdy+IHS1gv+7DZLuLv7wzguyeNACbSd/ODfLi9NzXTB5HpMxmeN5zbJ/+I5z7cxh0TjmVtzTucPexsznnhHJ5d5wi7isguwnqM3jGLcl0nmrCsazFiQiKkQbZradO8jmjLtiwEAlva2AKEG6+ouxnFPikxpHREm9SICUl5rSPa+sfiLPfBsFiU8ZEI8+woQ3KG8NjJj/HLD37J/LL5bKraxNKdS3l548s8eOKDFAedLNzN1Zt5fv3zXDP2mg5LXuhhR6yirckxg0A1lTKeikWJO3EGMSnx2JKoJqiOVqMl3KO6DsRVTFtPxwxC2K1mnu4eTb/wtqFo65vrpzQvwJCijC9fWNE2lIyDknFkvz8/+VbK0mYnUwl07YtlPpoiPXtU0/WkaLOFSe9sH7FE5f2eSE6/hq8HHwffXQk4Qf25g2fCx4+D0NGGnIDvqQs4a8+b2MF8Tq5eklytVsvikYXHsdEu4T7Pn9grs3j89Wks+jyMoWt4dcFbZfuYPqyQv11+G/Pe30Kk8giM7GUMyBzKpv27qNMt8m0n6WCjxyRg20Q1CwMJtoEJBIWXsOEUxc1yy/9YUmIj0Vxhr9upmLakaHPdo1X1lQCUxpzrzvBIjOn1IS4bMJuLJt5ItjebSw67hAUbFrB051LOGnoWL218iTnz53D2sLOZ3nc6d75zJ9trt9M72JupvafyyKeP8K3Dv0VRoKjNdlNjlGhTtCo5/nywnDuarKRocxMRsCmwLHZoBlWRKrITiQhJC4cSbT0aTzDVODrN0pZugW3LJIH8DC9vfn9mm32/ovlk+VJ1+xKiLY6dujg31z2aJvJ1wwDHEIMtDH4yZxRWWp9KRSM0DcZfknp91asg3bjScDXs3wR71xBcvYAbVs8HIJo/gvx9a/Et+QXruJg7fM9wYuw1Xs6dw3MbRlJWls2P5m9geMl5rN06moJRUTYZT1JuQ6ltkGNF2OgxGRWJssynoUsJthNykym81GmpmDbNFWN2KuoGzc0o9kqJKQHNwBA6cSwq6/eDD/rHnGWGxaIEpOSm/qdCbQXUlDO8+DDmDJ5DzIpxx9Q7uGTUJfz5kz/z+OrH+dtnf8Nv+OmX2Y+n1z7Nq1te5d2d77J893Jum3QbmZ5MRheMbnN3uxJtilYlN6MXVG0EINO22QPE3IyeKNIRbaZBZaSSLDeNe3xpHt+Y6qVPbteqTK1oZTxBiLiBTGnWk3TrWncKP1IcmFx/yvWUXiw1Ic8MrXnu0fRjJz2mzRYmPrMbJCC0N4n59GVByVgoGYsYOxc+/QeseBrP7AfY8s+fcNnn8/iGthgtHsXuM57zdzzJ+SZEH7+L4fwvf7rgUmb/TrBq88eQC1s8BsNDHgpiTkzr6EiUD/w+aoXAls5+yxYedrnDyLZsNDQsaWMLkXSb62klPww3C92n61hWnN1VFeCDI0KSW/ft54Sou1aoEl7/P6jYCDeu4O5pdyc3d1D2IH4x/RfcOulWlmxfwsCsgZRVlnHHO3dQVlnGmUPO5L+b/svVr1ydXH5C8QR8hg+f4WNir4lM7jW5VYWcEm2KViU7sx9ULQUg072LTbpHcXrICenEtCWa+PbKCnDXGSM7ZsCKzoPHLfcBjWLa2sc9qug85AVSbc1aJNrSPjIMA1sKNCGxtU5Ym60rM/rrzh9Qev792B9PQtu7BgYegzZyNvauz7j1oQXcFvst92c+SemaOIu1B/isPsq1uTkAiLif0+vq2GqXUGrtS361ZTulR3KEs8+EhAwpEULDRmJLieba2vSEpc22naQV3STH9BAijKGHiEtJnVHCRdUbWeMdywhWsL9iN7mVW6B6G5S9Ql3/45HQIN4xz5fHnMFzABiSO4RfLfsVeb48fjzlx1x/xPVsrt7M9trtPLvuWV7Z8grheJhQPMSDKx5kSM4Q+mT0SXbwOKr3UZw66NRDdqkq0aZoVcys3mRaNjW6RpZ7/5OwtMVw7oCycOr7JDoiHOykq+hBeFIX6qbaWDV+rui+ZHlT7lFPmmhLXpxdl6gmtINaMdIFv2loWI59BqmpS1+bYfrQJl7e4C2t12EEx0p+9d4efh55GBatpDZnMtnVZcllwuEAYyNRLg/F2ZeZ2ue2NIlKnVw3+cRr6YSlx92TTg/rxF42pXOtmVNbx/hIBDSDYs1HlV6NTwvhl5IqfynENrI01I8R2gqefetTrojuRAfq3nmQGc/qDCoI8vTVU9laUU8kbjGkKDM5Hr/h58ETHyTDzMDUTYoCRRQFipjIRL425GvJ5aJWlPll83ll8yvsrt+NR/NQH6/nng/v4Tcf/YapvadSGakk25PN4JzBDMoexOCcweT786mKpGrKNUYduYrWJbMXObZFja6R6d4ZpUSbE2eQJaEqWoXtWtq6Vcq94tBJz8ZKt6SkW9qUvu8R+Iz0mLY00Z541FKi7WCkW2Y9usBCw8TCUpa2dufaGYNZVPAt5J4QonAk24rOZ+Vfb8BjrySqCcLxbAD6avuI2WkJIrZJGC85rhEgaMNemY0mBLYb16bR8BpybCgMIUAzKDQziFt7kGYVQdumNlgK1bAy3g/bo5EV2oouopTLLHI3vsqlVpCcrbWEf7eHZysn8cfaYzmsXwH3zR3HIH0PrHiW0Ud/ByI18Mav4OjvOIWhG+HRPcwdPpe5w+c2eH9r9VYeXfUoH+z6gOJAMXvq9/DezveIuuVKvgwl2hStS2YvciybrSZkaSYQS4tpA48r3JyOCG4aN+pKrKChpU18sSMCKPdoT8Gjpy6CnvT4RvcxUfLjYEkI0MjSpjuWNkBZ2jqA4iwfFx01GPgjAOMicR6Wo+kd/4hNHpPaeL6zHPvZa6ftH2kSwkOe2zu2wI7yiRyMRjW2gLTyn19E0yn05EAYjGANAUuyr3Aqj27dw6v2ePBlM7eoFrbA+uHXkrflJa6LvEjINthW0Zub7Ie5LjCPZXuHM/+PY7nW/A/+yF5kZi9E+TpY+jveK/cQGXMB04cVNmse+mX1446pdzR4z7ItttduZ0PlBvZH9mNqJnOY0+T66shVtC4Zvchx75IyDT8QI245cQZR4TTy1ZDY0ka6xXWVe1QBgCet1EYHlPxQdB48Wkq0edPjGxPu0UOwtDmizVlPKktbhxP0Glx54YU89uZjbMKkMu7UQtOwyUiztNm2h5D0kufGuxbaUT6yh6KJj7ABp2Jbaj9HMfDgXFvQTIp8eVAN9Xo1vWMSb1Y+d8W/QWleAM2XC3vXADB12nFQ+kOI1nHD35bzSlkVlxSWcdewzUwqe41pVX9ldziH3bIYz8IHyLf34gXyP/kTtyyT6Hlv8WneLArGncLXxvfljXV7yAl4OKJfzpd6k3RNpzSrlNKs0i+dNyXaFK1LRhG5biHELCMAVjUxNwAzhhOfokuJJa1k71HlHlUA4El3jx7I0taeA1J0FF7dm3ouDCBhlXdIj2k7GOnHi8fQiLvfoBIROgdTDxvAK+/mAiH2x3slFUlmumiTHkJ4yHcT27Jtm4/twWjiYyxAChq4RyN40kSbQWHAsYDFpIVf2gSDmUAlEwbkQmUOVLi1ITPd1lWeIF+fPIRXypZz1KxzEaNL8EhJZNcaQlYWny9+jOM2/BKARf6TOTH0Ms/5/gdRZ3N03Sts2/ILFr84hF72LpbYY/jfoiu4qM8uCnoPwlM0hLygh0GFwUOuS6pEm6J10U1yXNdGlpkBFsRcX31UgCklmnQsbZbbi/TLXByKHkKDRIQ060q6pU2pth5BA/eo5gGcriqJo6K5ljYhBJoAWzpt8hLuUZR7tNMwrugIXt/9FlvjRUQML14iBFLNc7BtDxE85LqJaxmWZJUcwBA0bCEaZI+CI9oyqXdeaAaFgeLkZwFbkpXliLaJA/JgbU7qhzJ7JZ+eMroX/7nhGA7r7TZEFQJvyUgGAAPO+TbxX/+OSLA3J3z77/DHqeiGH86fh71pCdaSpxhTsRozr4RrKl7g4v2vEqyoJ75CY5F9JKtkAY8EjiBzzKls3rELj7DwBbPBDHD62BJmjijCPkj9QHXkKlqdHDMDiJDhyYQwxKwoUkriQuCRoONY2qS0QShLm8LFbDqmLT35QLlHewbpos2rp0Rb4uLc3Jg2cCy1tiUxdZF0j9raFwPHFR3DnFkPcOTGNRy9fjtR3Y/XilAh8zDca0bc9hKSXkqsOOgQsTKJ4EETupM9Cg3co2FSVlo0HU8gjxzLolLXCdg2I/v14kenZXDG4b1hc46znD8PjNR6QoiUYGuMLwvjvMcxAnlOAsLVb4LhA01HO/x8+h9+fmrZT54i+PGT1I04h9C2j5n5+X8wQisxoi8RWfZLvCLujtnDs2IWK1YYRP3VbIwcuCuLEm2KVifHkwNyN0FvFrqUxOxY0kXqSVjabBvbjoOmYtoULgewtBlpqq0tOyIoOg+GZqBJgS2kI9oS5fvcz5traXOWEYBUiQidFdNH/sAxwHbiegCsSrbaRWTaVezXdSzpJYSHwmg9GV6bSLQPAJrmWtqEaHDjHxHe5PGCZoA3k8KEaJMSwxfkymPcGmn+XOcxq/dXG/OQ41PP089bjRl3How7jyAQnHwxcA9YMeSaf2NseQ+ye4Ppx7f1fS5a+SzSgEorlxP0Sq49wFeqI1fR6uT686F+Nz5vNqaUxK0Y0bhzp2y6MW22tB1LGyp7VOHSQLSlC7XU28rQ1nPwGF7CVhifZiZ7huqN6rQ1x9KWsM56DA1LaiBA6iqmrTPhM3V+MvswAh9mQgVskUVk2vsd0Wb7iAgvwV0fs0gIbog4JTR0oSUtbQ3coyIl8tFN8GVTFLdY73HcoxhpnXf8Oc5jmmu0zdFNxKivoY/6Wuq9iVciTvopwgyQ582Ayq3wk6aTEtTVUtHqTMkdwaWV1YzOHowpcSxtMaf/qAno0iYu49husKlyjyqAA1raVPZozyRRq82b7ip3HxMdEZpjaUtYZ80GMW3KPdrZuPTogXgDjktyiyxKZpDGpNexngHeYB9et8cDzr6XOPqsYfZounvUAG8WhW7LxIDQGsZb+HKcx/YUbQciowi8rls0p98BF1OiTdHqZGT343v7K/EE8jFx3KPRuBMYamqmY2mz7WT2qHKPKoBm1WlTHRF6DomyH96080NjS1vz3KPu9xmq5Eenxy2wvUMWkJFog2j7ibqirW7sN7Bd2aILHUs4RliRdhxERZog1/SkexQgQCPLbNLS9hXdox2IuloqWp+svs5joABDSmJ2nFjcsbR5NBMNiSXjSrQpGnKgjggNLG3tOSBFR5JIRvCkC/ivWKfNWTZhaRPEE6JNuUc7J26txsMG9yfD3Vcx20+Nlg2GH3nExclFNaFjI5BCNAixSQg8ZyEDfFkUxl3R1lisdyZLWzNRV0tF6zPkBDjnr9B3ousejRN1m8Z7dA+aBNu2lGhTNETTU/EmB6rTplRbjyFRq83blGj7CjFtiePHo+tJK41Qoq1z4lrbvzlrgttRByLSz9OeM+GaJfhzUk3WdS0tezTtxi4qUi3Q0AwwAxS5VrtAY7d4wOnC8JUTEToQdbVUtD66AaO+BrqJKSUxGSeWcI/qHnRwLW0qEUHRiISL9IDFdZVo6ykkLG0NYtrc/f9VYtoSF3TTEMniuso92klJFNj255KhexFSErF9xM0MKBiC19AwtJS11U64R9MtbenCTDNBCIp0R8gF04o2A1A6BWY/4Bgaughd7mophJghhHhLCPEnIcSMjh6P4iAIgQmuezTd0iaxbSuZPaoSERRJEiftJi7UzvP2HpCio0iJtvQ2Vu7jV7G0JbJHdS1paUNZ2joniVZ2/lxmGblcWVVNBC8eN4VcCEHAk9r3VsI9mibe443do8AoLciPyis4Rsts+HuaDkde2qWOh3YVbUKIR4QQe4QQnzZ6/2QhxFohRJkQ4gdf8jUSqAV8wLa2GquidTBx2odE3Zg2U/e5ljblHlU0QeKknd4RQblHeyRNuUe1xokI2lfLHk3EtCn3aCclo9g5B/iyOdxXzA37q4hg4jVS+znD6xZWdi1tjns03dLWsLgugObL5tyaWvzpcbNdlPau0/YY8Dvgb4k3hBA68HvgRBwR9oEQYgHOTdXPG61/OfCWlPINIUQxcC9wYTuMW3GImAhitpUsrmsaPjd7NGVpU6JNkUS5RxUuSUub9kVLW8I92qw6be7pxcke1bCkQKjiup2TSVfByNnO/78vG3C6BXjSRFvAFW2GZmAh3I4Iqc9jjWPaALzOd2Gm1WjroggpD9zjqk1+UIgBwItSytHu66nAT6SUs9zXtwFIKRsLtsbf4wGelFKefYDPvwl80305Gvi0qeUUDSgAyjt6EF0ENVfNQ81T81Dz1HzUXDUPNU/NpzPOVX8pZWHjNzvD7UYfYGva623A5AMtLIT4OjALyMGx2jWJlPJB4EF3nWVSygmtMdjujJqn5qPmqnmoeWoeap6aj5qr5qHmqfl0pbnqDKKtKX/HAc1/Usp/AP9ou+EoFAqFQqFQdD46QzDRNiC9Z0NfYEcHjUWhUCgUCoWiU9IZRNsHwFAhxEA3Tu08YEEr/8aDrfx93RU1T81HzVXzUPPUPNQ8NR81V81DzVPz6TJz1a6JCEKIecAMnKC/3cCdUsqHhRCnAvfjJAc9IqW8u90GpVAoFAqFQtEFaPfsUYVCoVAoFArFV6czuEcVCoVCoVAoFF9ClxZtX9ZJQTj8xv18hRBifHPX7W4c6lwJIfoJIRYLIVYLIVYJIb7T/qNvP1pyTLmf60KIj4QQL7bfqNufFv7v5QghnhNCrHGPq6ntO/r2pYVz9V33/+5TIcQ8IdIrh3YvmjFPI4QQS4UQESHEzV9l3e7Goc6VOp9/4fMDHlPu553vfC6l7JJ/OPFvG4BBgAf4BDis0TKnAi/hlBWZArzX3HW7018L56oEGO8+zwTWdde5ask8pX1+E/AkTgHpDt+mzjhPwF+BK93nHiCno7epM84VTg3LjYDfff0McGlHb1MHzlMRMBG4G7j5q6zbnf5aOFfqfN6MeUr7vNOdz7uypW0SUCal/FxKGQWeAs5otMwZwN+kw7tAjhCipJnrdicOea6klDullMsBpJQ1wGqci0l3pCXHFEKIvsBpwEPtOegO4JDnSQiRBUwHHgaQUkallJXtOPb2pkXHFE4tTb8QwgACdN9ySF86T1LKPVLKD4DYV123m3HIc6XO580+pjrt+bwri7amOik0PvgOtExz1u1OtGSukginBdkRwHutP8ROQUvn6X7g+zg9jLszLZmnQcBe4FHX7fCQECLYloPtYA55rqSU24FfA1uAnUCVlHJhG461I2nJOVmdzw9he9X5/Eu5n054Pu/Koq05nRQOtMxX6sLQDWjJXDkfCpEBPA/cKKWsbsWxdSYOeZ6EEKcDe6SUH7b+sDodLTmeDGA88Ecp5RFAHdCdY5Backzl4lgGBgK9gaAQ4qJWHl9noSXnZHU+/4rbq87nX7JiJz6fd2XR1pxOCgdapqd1YWjJXCGEMHH+wZ+QThux7kpL5uloYI4QYhOOGf44IcTjbTfUDqWl/3vbpJSJu/vncERcd6Ulc3UCsFFKuVdKGcNp33dUG461I2nJOVmdz7/C9qrzebPotOfzrizamtNJYQFwiZudNQXHvbCzmet2Jw55roQQAif+aLWU8t72HXa7c8jzJKW8TUrZV0o5wF3vNSlld7WKtGSedgFbhRDD3eWOBz5rt5G3Py05T20BpgghAu7/4fE4MUjdkZack9X5vJnbq87nzZunTn0+7+hMiJb84WRdrcPJELndfe8a4Br3uQB+736+EphwsHW789+hzhUwDcekvAL42P07taO3p7PNU6PvmEEnyjbqbPMEHA4sc4+p+UBuR29PJ56ru4A1wKfA3wFvR29PB85TLxzrSTVQ6T7POtC63fnvUOdKnc+bf0ylfUenOp+rjggKhUKhUCgUXYCu7B5VKBQKhUKh6DEo0aZQKBQKhULRBVCiTaFQKBQKhaILoESbQqFQKBQKRRdAiTaFQqFQKBSKLoASbQqFokshhLCEEB+n/Q3o6DEdKmnb0tt9vUkIUZD2+QwhxIsHWf8YIcRnQohP22O8CoWiYzE6egAKhULxFQlJKQ/v6EG0Ei3aFinlW0KIU4EDCjuFQtF9UJY2hULR5RFCHCmEeEMI8aEQ4r9CiJK09z8RQiwVQvwqYZESQlwqhPhd2vovCiFmuM9PcpdfLoR41u3TmLCC3eW+v1IIMcJ9P0MI8aj73gohxFlCiCuEEPelff9VQogWVaAXQvwnzbpYJYT4Rku+T6FQdD2UaFMoFF0Nf5p4+afbS/G3wNlSyiOBR4C73WUfBW6QUk5tzhe7rskfASdIKcfjdG64KW2Rcvf9PwI3u+/9GKf11Bgp5VjgNZx+hXPcsQFc5o6lOSxObB/wUOJNKeWprlXuCmAzTjcJhULRg1DuUYVC0dVo4FIUQowGRgOLnNaK6MBOIUQ2kCOlfMNd9O/AKV/y3VOAw4C33e/yAEvTPk802P4Q+Lr7/ASc/oQASCn3u+N6DThdCLEaMKWUK5u5fTOllOXud8wgJQ4TovLvwFwpZVUzv0+hUHQTlGhTKBRdHQGsamxNE0Lk4PRZbIo4DT0NvrTvWiSlPP8A60XcR4vU+VMc4HceAn6I0zu0uVa2AyKE0HEseP8jpVSJBwpFD0S5RxUKRVdnLVAohJgKIIQwhRCjpJSVQJUQYpq73IVp62wCDhdCaEKIfsAk9/13gaOFEEPc7woIIYZ9ye8vBK5PvBBC5AJIKd8D+gEXAPNasH0J/g9YIaV8qhW+S6FQdEGUaFMoFF0aKWUUOBv4hRDiE+Bj4Cj348uA3wshlgKhtNXeBjYCK4FfA8vd79oLXArME0KswBFxI75kCD8FcoUQn7q/PzPts2eAtxMu0xZyM3BSWjzfnFb4ToVC0YUQUh7Ie6BQKBTdB7ee24tSytHt+JsvAvdJKV89wOe1UsqMFv7GANp5uxQKRcegLG0KhULRygghcoQQ63CSJpoUbC7V6cV1D+F3jgFeAMoPZX2FQtG1UJY2hUKhUCgUii6AsrQpFAqFQqFQdAGUaFMoFAqFQqHoAijRplAoFAqFQtEFUKJNoVAoFAqFogugRJtCoVAoFApFF+D/AXBHcekptdk7AAAAAElFTkSuQmCC\n", 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" ] @@ -1185,17 +1358,132 @@ "plt.figure(figsize=(10, 7))\n", "plt.semilogy(cf, cp)\n", "plt.semilogy(cf2, cp2)\n", - "\n", + "plt.semilogy(cf_a, cp_a)\n", "plt.xlim(0,0.3)\n", "\n", "plt.ylabel(\"$\\Re[\\mathcal{F}(C(t))]$\")\n", - "plt.xlabel(\"Fequency [Hz]\")\n" + "plt.xlabel(\"Fequency [Hz]\")\n", + "plt.xlim(0, 0.15)\n", + "plt.ylim(1E-5, 1)\n", + "\n", + "plt.plot([1/60, 2/60, 3/60, 4/60, 5/60, 6/60], [1e-3, 1e-3, 1e-3, 1e-3, 1e-3, 1e-3], 'o')" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "enabling-elevation", + "metadata": {}, + "outputs": [], + "source": [ + "az = obs['tod'].cache.reference('az')\n", + "alt = obs['tod'].cache.reference('el')" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "compliant-skirt", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/algebrato/.local/lib/python3.9/site-packages/wradlib-1.0.0-py3.9.egg/wradlib/ipol.py:1196: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + "/home/algebrato/.local/lib/python3.9/site-packages/wradlib-1.0.0-py3.9.egg/wradlib/ipol.py:1196: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + "/home/algebrato/.local/lib/python3.9/site-packages/wradlib-1.0.0-py3.9.egg/wradlib/util.py:677: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + "/home/algebrato/.local/lib/python3.9/site-packages/wradlib-1.0.0-py3.9.egg/wradlib/util.py:677: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n" + ] + }, + { + "ename": "ModuleNotFoundError", + "evalue": "No module named '_gdal'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mImportError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/usr/lib/python3/dist-packages/osgeo/__init__.py\u001b[0m in \u001b[0;36mswig_import_helper\u001b[0;34m()\u001b[0m\n\u001b[1;32m 17\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 18\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mimportlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimport_module\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 19\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mImportError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/lib/python3.9/importlib/__init__.py\u001b[0m in \u001b[0;36mimport_module\u001b[0;34m(name, package)\u001b[0m\n\u001b[1;32m 126\u001b[0m \u001b[0mlevel\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 127\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0m_bootstrap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_gcd_import\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mlevel\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpackage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlevel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 128\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/lib/python3.9/importlib/_bootstrap.py\u001b[0m in \u001b[0;36m_gcd_import\u001b[0;34m(name, package, level)\u001b[0m\n", + "\u001b[0;32m/usr/lib/python3.9/importlib/_bootstrap.py\u001b[0m in \u001b[0;36m_find_and_load\u001b[0;34m(name, import_)\u001b[0m\n", + "\u001b[0;32m/usr/lib/python3.9/importlib/_bootstrap.py\u001b[0m in \u001b[0;36m_find_and_load_unlocked\u001b[0;34m(name, import_)\u001b[0m\n", + "\u001b[0;32m/usr/lib/python3.9/importlib/_bootstrap.py\u001b[0m in \u001b[0;36m_load_unlocked\u001b[0;34m(spec)\u001b[0m\n", + "\u001b[0;32m/usr/lib/python3.9/importlib/_bootstrap.py\u001b[0m in \u001b[0;36mmodule_from_spec\u001b[0;34m(spec)\u001b[0m\n", + "\u001b[0;32m/usr/lib/python3.9/importlib/_bootstrap_external.py\u001b[0m in \u001b[0;36mcreate_module\u001b[0;34m(self, spec)\u001b[0m\n", + "\u001b[0;32m/usr/lib/python3.9/importlib/_bootstrap.py\u001b[0m in \u001b[0;36m_call_with_frames_removed\u001b[0;34m(f, *args, **kwds)\u001b[0m\n", + "\u001b[0;31mImportError\u001b[0m: libldap_r-2.4.so.2: cannot open shared object file: No such file or directory", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mwradlib\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m\u001b[0m in \u001b[0;36mload_module\u001b[0;34m(self, fullname)\u001b[0m\n", + "\u001b[0;32m~/.local/lib/python3.9/site-packages/wradlib-1.0.0-py3.9.egg/wradlib/__init__.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 29\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 30\u001b[0m \u001b[0;31m# import subpackages\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 31\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0madjust\u001b[0m \u001b[0;31m# noqa\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 32\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0matten\u001b[0m \u001b[0;31m# noqa\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 33\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mclutter\u001b[0m \u001b[0;31m# noqa\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m\u001b[0m in \u001b[0;36mload_module\u001b[0;34m(self, fullname)\u001b[0m\n", + "\u001b[0;32m~/.local/lib/python3.9/site-packages/wradlib-1.0.0-py3.9.egg/wradlib/adjust.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 116\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 117\u001b[0m \u001b[0;31m# wradlib modules\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 118\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mwradlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mipol\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mipol\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 119\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mwradlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mutil\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mutil\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 120\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m\u001b[0m in \u001b[0;36mload_module\u001b[0;34m(self, fullname)\u001b[0m\n", + "\u001b[0;32m~/.local/lib/python3.9/site-packages/wradlib-1.0.0-py3.9.egg/wradlib/ipol.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 43\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mwarnings\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 44\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 45\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mutil\u001b[0m \u001b[0;32mas\u001b[0m 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\u001b[0mimportlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimport_module\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'_gdal'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 32\u001b[0m \u001b[0m_gdal\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mswig_import_helper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 33\u001b[0m \u001b[0;32mdel\u001b[0m \u001b[0mswig_import_helper\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/lib/python3.9/importlib/__init__.py\u001b[0m in \u001b[0;36mimport_module\u001b[0;34m(name, package)\u001b[0m\n\u001b[1;32m 125\u001b[0m \u001b[0;32mbreak\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 126\u001b[0m \u001b[0mlevel\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 127\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0m_bootstrap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_gcd_import\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mlevel\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpackage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlevel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 128\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 129\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named '_gdal'" + ] + } + ], + "source": [ + "import wradlib" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "professional-matrix", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/usr/lib/python3/dist-packages/ipykernel/ipkernel.py:283: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.\n", + " and should_run_async(code)\n" + ] + }, + { + "ename": "ModuleNotFoundError", + "evalue": "No module named '_gdal'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mImportError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/usr/lib/python3/dist-packages/osgeo/__init__.py\u001b[0m in \u001b[0;36mswig_import_helper\u001b[0;34m()\u001b[0m\n\u001b[1;32m 17\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 18\u001b[0;31m \u001b[0;32mreturn\u001b[0m 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\u001b[0;36mcreate_module\u001b[0;34m(self, spec)\u001b[0m\n", + "\u001b[0;32m/usr/lib/python3.9/importlib/_bootstrap.py\u001b[0m in \u001b[0;36m_call_with_frames_removed\u001b[0;34m(f, *args, **kwds)\u001b[0m\n", + "\u001b[0;31mImportError\u001b[0m: libldap_r-2.4.so.2: cannot open shared object file: No such file or directory", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mosgeo\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m/usr/lib/python3/dist-packages/osgeo/__init__.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 30\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mImportError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtraceback_string\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m'\\n'\u001b[0m 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\u001b[0mmsg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 31\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mimportlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimport_module\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'_gdal'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 32\u001b[0m \u001b[0m_gdal\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mswig_import_helper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 33\u001b[0m \u001b[0;32mdel\u001b[0m \u001b[0mswig_import_helper\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/lib/python3.9/importlib/__init__.py\u001b[0m in \u001b[0;36mimport_module\u001b[0;34m(name, package)\u001b[0m\n\u001b[1;32m 125\u001b[0m \u001b[0;32mbreak\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 126\u001b[0m \u001b[0mlevel\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 127\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0m_bootstrap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_gcd_import\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mlevel\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpackage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlevel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 128\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 129\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named '_gdal'" + ] + } + ], + "source": [ + "import osgeo" ] }, { "cell_type": "code", "execution_count": null, - "id": "complete-firewall", + "id": "relevant-saver", "metadata": {}, "outputs": [], "source": [] @@ -1203,9 +1491,9 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python3 (Singularity)", "language": "python", - "name": "python3" + "name": "mykernel" }, "language_info": { "codemirror_mode": { @@ -1217,7 +1505,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.7" + "version": "3.7.3" } }, "nbformat": 4, diff --git a/singularity_container/Dockerfile b/singularity_container/Dockerfile index 06530f4f..d0ba2e34 100644 --- a/singularity_container/Dockerfile +++ b/singularity_container/Dockerfile @@ -1,4 +1,4 @@ -FROM debian:buster +FROM debian:oldstable LABEL Description="Pycal Docker images" @@ -46,6 +46,7 @@ RUN bash -c ' \ python3-healpy \ python3-astropy \ python3-yaml \ + python3-ipykernel \ curl \ libhwloc-dev \ pkg-config && \ From 55e923a9b788f3b9de8bfea89e130009a074c410 Mon Sep 17 00:00:00 2001 From: Stefano Mandelli Date: Thu, 17 Mar 2022 10:33:39 +0100 Subject: [PATCH 12/14] Fix comment --- src/pycal/todmap/sim_tod.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/src/pycal/todmap/sim_tod.py b/src/pycal/todmap/sim_tod.py index af9d545b..411e9219 100644 --- a/src/pycal/todmap/sim_tod.py +++ b/src/pycal/todmap/sim_tod.py @@ -1439,7 +1439,9 @@ def step_el(self, times, az, el): def simulate_scan(self, samples): """Simulate el-nod and/or a constant elevation scan, either constant rate or 1/sin(az)-modulated. - + + """ + if self._el_ces is None: self._stable_starts = [] self._stable_stops = [] @@ -2013,4 +2015,4 @@ def _get_velocity(self, start, n): def _put_velocity(self, start, vel): raise RuntimeError("cannot write data to simulated velocity") - return \ No newline at end of file + return From 8d52d0af6a27e352bec9c28e1916ab226c9dcbe5 Mon Sep 17 00:00:00 2001 From: Stefano Mandelli Date: Thu, 17 Mar 2022 12:32:45 +0100 Subject: [PATCH 13/14] Changes to be committed: modified: cookbook/Simulation_STRIP.ipynb modified: src/pycal/todmap/sim_tod.py --- cookbook/Simulation_STRIP.ipynb | 66 ++++++++++++++++++------ src/pycal/todmap/sim_tod.py | 89 ++------------------------------- 2 files changed, 54 insertions(+), 101 deletions(-) diff --git a/cookbook/Simulation_STRIP.ipynb b/cookbook/Simulation_STRIP.ipynb index 0d49d735..f15c32eb 100644 --- a/cookbook/Simulation_STRIP.ipynb +++ b/cookbook/Simulation_STRIP.ipynb @@ -297,6 +297,14 @@ "text": [ "Creating the outdir: out_directory2022,7,1,0,0,0\n" ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":20: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.\n", + " focalplane=yaml.load(file)\n" + ] } ], "source": [ @@ -322,7 +330,21 @@ "execution_count": 7, "id": "urban-beaver", "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "AttributeError", + "evalue": "'TODGround' object has no attribute '_stable_starts'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 17\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 18\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 19\u001b[0;31m tod = TODGround(\n\u001b[0m\u001b[1;32m 20\u001b[0m \u001b[0mcomm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcomm_group\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 21\u001b[0m \u001b[0mfp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdetquats\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.9/dist-packages/pycal/timing.py\u001b[0m in \u001b[0;36mdf\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 41\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0mwraps\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 42\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 43\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 44\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 45\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.9/dist-packages/pycal/todmap/sim_tod.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, mpicomm, detectors, samples, boresight_angle, firsttime, rate, site_lon, site_lat, site_alt, el, azmin, azmax, el_nod, start_with_elnod, end_with_elnod, el_mod_step, el_mod_rate, el_mod_amplitude, el_mod_sine, scanrate, scanrate_el, scan_accel, scan_accel_el, CES_start, CES_stop, el_min, sun_angle_min, sampsizes, sampbreaks, coord, report_timing, hwprpm, hwpstep, hwpsteptime, cosecant_modulation, **kwargs)\u001b[0m\n\u001b[1;32m 989\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msubscans\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 990\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_subscan_min_length\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m10\u001b[0m \u001b[0;31m# in samples\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 991\u001b[0;31m \u001b[0;32mfor\u001b[0m \u001b[0mistart\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mistop\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_stable_starts\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_stable_stops\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 992\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mistop\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mistart\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_subscan_min_length\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mistart\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0mnsample_elnod\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 993\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_commonflags\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mistart\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mistop\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m|=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTURNAROUND\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mAttributeError\u001b[0m: 'TODGround' object has no attribute '_stable_starts'" + ] + } + ], "source": [ "# Create the TOD structure\n", "data = Data(comm)\n", @@ -672,7 +694,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "id": "polished-candidate", "metadata": {}, "outputs": [], @@ -702,7 +724,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 13, "id": "antique-toner", "metadata": {}, "outputs": [], @@ -713,7 +735,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 14, "id": "usual-intent", "metadata": {}, "outputs": [], @@ -723,7 +745,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 15, "id": "distant-hudson", "metadata": {}, "outputs": [], @@ -733,7 +755,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 16, "id": "literary-cemetery", "metadata": {}, "outputs": [ @@ -780,7 +802,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 17, "id": "spiritual-irrigation", "metadata": {}, "outputs": [ @@ -790,7 +812,7 @@ "2" ] }, - "execution_count": 31, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -807,7 +829,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 18, "id": "naked-turkish", "metadata": {}, "outputs": [], @@ -826,13 +848,25 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 20, "id": "patient-insurance", "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "ModuleNotFoundError", + "evalue": "No module named 'numba'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mnumba\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mnjit\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0mnjit\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mmake_a_map\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moutput_map\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msignals\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mhits\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mzeros\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moutput_map\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mint64\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'numba'" + ] + } + ], "source": [ - "#from numba import njit\n", - "#@njit\n", + "from numba import njit\n", + "@njit\n", "def make_a_map(output_map, signals):\n", "\n", " hits = np.zeros(len(output_map), dtype=np.int64)\n", @@ -1491,9 +1525,9 @@ ], "metadata": { "kernelspec": { - "display_name": "Python3 (Singularity)", + "display_name": "Python 3", "language": "python", - "name": "mykernel" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -1505,7 +1539,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.3" + "version": "3.9.7" } }, "nbformat": 4, diff --git a/src/pycal/todmap/sim_tod.py b/src/pycal/todmap/sim_tod.py index 411e9219..51d9244d 100644 --- a/src/pycal/todmap/sim_tod.py +++ b/src/pycal/todmap/sim_tod.py @@ -1439,87 +1439,7 @@ def step_el(self, times, az, el): def simulate_scan(self, samples): """Simulate el-nod and/or a constant elevation scan, either constant rate or 1/sin(az)-modulated. - - """ - - if self._el_ces is None: - self._stable_starts = [] - self._stable_stops = [] - return 0 - - if samples <= 0: - raise RuntimeError("CES requires a positive number of samples") - - if len(self._times) == 0: - self._CES_start = self._firsttime - else: - self._CES_start = self._times[-1] + 1 / self._rate - - nstep = 10000 - - azmin, azmax = [self._azmin_ces, self._azmax_ces] - - t = self._CES_start - base_rate = self._scanrate / np.cos(self._el_ces) - - tvec = [] - azvec = [] - t0 = t - - # Ds**2 = 1/4 * a**2 * (t1 - t0) - # t1 = Ds**2*4/a**2 + t0 - - t1 = t0 + (6.44*(2*np.pi)**2 ) / np.cos(self._el_ces) - tvec = np.linspace(t0, t1, nstep, endpoint=True) - azvec = np.array([]) - azvec = np.append(azvec, azmin) - - for i in range(1, len(tvec)): - dt = (t1-t0)/nstep - az_i = azvec[i-1] + base_rate * dt - mod_i = np.abs(1/np.sin(az_i)) - - if mod_i >= 2: - mod_i = 2.0 - - omega = 0.5 * base_rate * mod_i - d_alpha = omega * dt - alpha_i = azvec[i-1] + d_alpha - azvec = np.append(azvec, alpha_i) - azvec = np.mod(azvec, 2*np.pi) - - # Store the scan range. We use the high resolution azimuth so the - # actual sampling rate will not change the range. - - self.update_scan_range(azvec, self._el_ces) - # Now interpolate the simulated scan to timestamps - - times = self._CES_start + np.arange(samples) / self._rate - tmin, tmax = tvec[0], tvec[-1] - tdelta = tmax - tmin - az_sample = np.interp((times - tmin) % tdelta, tvec - tmin, azvec) - - el_sample = np.zeros_like(az_sample) + self._el_ces - if self._el_mod_rate != 0: - self.oscillate_el(times, az_sample, el_sample) - if self._el_mod_step != 0: - self.step_el(times, az_sample, el_sample) - - offset = self._times.size - self._times = np.hstack([self._times, times]) - self._az = np.hstack([self._az, az_sample]) - self._el = np.hstack([self._el, el_sample]) - ind = np.searchsorted(tvec - tmin, (times - tmin) % tdelta) - ind[ind == tvec.size] = tvec.size - 1 - - - return samples - - @function_timer - def simulate_scan2(self, samples): - """Simulate el-nod and/or a constant elevation scan, either constant rate or - 1/sin(az)-modulated. """ if self._el_ces is None: @@ -1575,9 +1495,9 @@ def simulate_scan2(self, samples): azvec = np.arccos(np.cos(azmin) - base_rate * (tvec-t0)) else: # Constant scanning rate, only requires two data points - t1 = t0 + (azmax - azmin) / base_rate - tvec = np.array([t0, t1]) - azvec = np.array([azmin, azmax]) + t1 = t0 + (np.cos(azmin) - np.cos(azmax)) / base_rate + tvec = np.linspace(t0, t1, nstep, endpoint=True) + azvec = np.arccos(np.cos(azmin) + base_rate * t0 - base_rate * tvec) all_t.append(np.array(tvec)) all_az.append(np.array(azvec)) all_flags.append(np.zeros(tvec.size, dtype=np.uint8) | self.LEFTRIGHT_SCAN) @@ -1601,7 +1521,6 @@ def simulate_scan2(self, samples): all_flags.append(np.zeros(tvec.size, dtype=np.uint8) | self.LEFTRIGHT_SCAN) t = t1 - # Concatenate tvec = np.hstack(all_t) @@ -2015,4 +1934,4 @@ def _get_velocity(self, start, n): def _put_velocity(self, start, vel): raise RuntimeError("cannot write data to simulated velocity") - return + return \ No newline at end of file From 12c6180788441007fb34cfd189a86c53e04671ee Mon Sep 17 00:00:00 2001 From: Stefano Mandelli Date: Thu, 17 Mar 2022 14:54:00 +0100 Subject: [PATCH 14/14] On branch spin_tod (#28) Changes to be committed: new file: cookbook/strip_focal_plane.yaml new file: cookbook/weather_STRIP.fits Co-authored-by: Stefano Mandelli

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