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." 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/CONTRIBUTING.md b/CONTRIBUTING.md new file mode 100644 index 00000000..e3bdaecd --- /dev/null +++ b/CONTRIBUTING.md @@ -0,0 +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 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/Focal_Plane.ipynb b/cookbook/Focal_Plane.ipynb index 8dd477c2..954e8d3b 100644 --- a/cookbook/Focal_Plane.ipynb +++ b/cookbook/Focal_Plane.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 7, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -52,7 +52,7 @@ }, { "cell_type": "code", - "execution_count": 124, + "execution_count": 3, "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": 4, "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": 5, "metadata": {}, "outputs": [], "source": [ @@ -194,7 +194,7 @@ }, { "cell_type": "code", - "execution_count": 127, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -210,24 +210,23 @@ }, { "cell_type": "code", - "execution_count": 98, + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 17, "metadata": {}, "outputs": [ { "data": { + "image/png": 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"text/plain": [ - "Text(0, 0.5, '$u$ [deg]')" - ] - }, - "execution_count": 98, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" + "
" ] }, "metadata": { @@ -237,31 +236,38 @@ } ], "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", + "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" ] }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -272,7 +278,7 @@ }, { "cell_type": "code", - "execution_count": 88, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -281,25 +287,14 @@ }, { "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 +311,19 @@ }, { "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 +332,7 @@ }, { "cell_type": "code", - "execution_count": 99, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -384,7 +380,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.2" + "version": "3.9.7" } }, "nbformat": 4, 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, 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 ") diff --git a/cookbook/skypatch.ipynb b/cookbook/skypatch.ipynb index 70afc91e..d19368a2 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 2022-02-21 11:02:37.967676\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, 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, 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 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 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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0.04874343,\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, 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 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 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, 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 , 0.02079021,\n 0.02096492, 0.02113962, 0.02131433, 0.02148904, 0.02166375,\n 0.02183845, 0.02201316, 0.02218787, 0.02236258, 0.02253728,\n 0.02271199, 0.0228867 , 0.02306141, 0.02323612, 0.02341082,\n 0.02358553, 0.02376024, 0.02393495, 0.02410965, 0.02428436,\n 0.02445907, 0.02463378, 0.02480848, 0.02498319, 0.0251579 ,\n 0.02533261, 0.02550731, 0.02568202, 0.02585673, 0.02603144,\n 0.02620614, 0.02638085, 0.02655556, 0.02673027, 0.02690498,\n 0.02707968, 0.02725439, 0.0274291 , 0.02760381, 0.02777851,\n 0.02795322, 0.02812793, 0.02830264, 0.02847734, 0.02865205,\n 0.02882676, 0.02900147, 0.02917617, 0.02935088, 0.02952559,\n 0.0297003 , 0.02987501, 0.03004971, 0.03022442, 0.03039913,\n 0.03057384, 0.03074854, 0.03092325, 0.03109796, 0.03127267,\n 0.03144737, 0.03162208, 0.03179679, 0.0319715 , 0.0321462 ,\n 0.03232091, 0.03249562, 0.03267033, 0.03284503, 0.03301974,\n 0.03319445, 0.03336916, 0.03354387, 0.03371857, 0.03389328,\n 0.03406799, 0.0342427 , 0.0344174 , 0.03459211, 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, 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 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 1.13446401,\n 1.13446401, 1.13446401, 1.13446401, 1.13446401, 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, 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, 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]), 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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": "3.9.7" } }, "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 && \ 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)