diff --git a/test/test.ipynb b/test/test.ipynb deleted file mode 100644 index 016d380..0000000 --- a/test/test.ipynb +++ /dev/null @@ -1,625 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[91m\u001b[1mERROR: \u001b[22m\u001b[39mLoadError: " - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "ArgumentError: Package Compat does not have Dates in its dependencies:\n", - "- You may have a partially installed environment. Try `Pkg.instantiate()`\n", - " to ensure all packages in the environment are installed.\n", - "- Or, if you have Compat checked out for development and have\n", - " added Dates as a dependency but haven't updated your primary\n", - " environment's manifest file, try `Pkg.resolve()`.\n", - "- Otherwise you may need to report an issue with Compat\n", - "Stacktrace:\n", - " [1] \u001b[0m\u001b[1mmacro expansion\u001b[22m\n", - "\u001b[90m @ \u001b[39m\u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:1167\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", - " [2] \u001b[0m\u001b[1mmacro expansion\u001b[22m\n", - "\u001b[90m @ \u001b[39m\u001b[90m./\u001b[39m\u001b[90m\u001b[4mlock.jl:223\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", - " [3] \u001b[0m\u001b[1mrequire\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90minto\u001b[39m::\u001b[0mModule, \u001b[90mmod\u001b[39m::\u001b[0mSymbol\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @ \u001b[39m\u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:1144\u001b[24m\u001b[39m\n", - " [4] top-level scope\n", - "\u001b[90m @ \u001b[39m\u001b[90m~/.julia/packages/Compat/hI4ZK/src/\u001b[39m\u001b[90m\u001b[4mCompat.jl:8\u001b[24m\u001b[39m\n", - " [5] \u001b[0m\u001b[1minclude\u001b[22m\n", - "\u001b[90m @ \u001b[39m\u001b[90m./\u001b[39m\u001b[90m\u001b[4mBase.jl:419\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", - " [6] \u001b[0m\u001b[1minclude_package_for_output\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mpkg\u001b[39m::\u001b[0mBase.PkgId, \u001b[90minput\u001b[39m::\u001b[0mString, \u001b[90mdepot_path\u001b[39m::\u001b[0mVector\u001b[90m{String}\u001b[39m, \u001b[90mdl_load_path\u001b[39m::\u001b[0mVector\u001b[90m{String}\u001b[39m, \u001b[90mload_path\u001b[39m::\u001b[0mVector\u001b[90m{String}\u001b[39m, \u001b[90mconcrete_deps\u001b[39m::\u001b[0mVector\u001b[90m{Pair{Base.PkgId, UInt64}}\u001b[39m, \u001b[90msource\u001b[39m::\u001b[0mString\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @ \u001b[39m\u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:1554\u001b[24m\u001b[39m\n", - " [7] top-level scope\n", - "\u001b[90m @ \u001b[39m\u001b[90m\u001b[4mstdin:1\u001b[24m\u001b[39m\n", - "in expression starting at /Users/gaetanfacchinetti/.julia/packages/Compat/hI4ZK/src/Compat.jl:1\n", - "in expression starting at stdin:1\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[91m\u001b[1mERROR: \u001b[22m\u001b[39mLoadError: " - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Failed to precompile Compat [34da2185-b29b-5c13-b0c7-acf172513d20] to /Users/gaetanfacchinetti/.julia/compiled/v1.8/Compat/jl_kiAlOA.\n", - "Stacktrace:\n", - " [1] \u001b[0m\u001b[1merror\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90ms\u001b[39m::" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[0mString\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @ \u001b[39m\u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4merror.jl:35\u001b[24m\u001b[39m\n", - " [2] \u001b[0m\u001b[1mcompilecache\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mpkg\u001b[39m::\u001b[0mBase.PkgId, \u001b[90mpath\u001b[39m::\u001b[0mString, \u001b[90minternal_stderr\u001b[39m::\u001b[0mIO, \u001b[90minternal_stdout\u001b[39m::\u001b[0mIO, \u001b[90mkeep_loaded_modules\u001b[39m::\u001b[0mBool\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @ \u001b[39m\u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:1707\u001b[24m\u001b[39m\n", - " [3] \u001b[0m\u001b[1mcompilecache\u001b[22m\n", - "\u001b[90m @ \u001b[39m\u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:1651\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", - " [4] \u001b[0m\u001b[1m_require\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mpkg\u001b[39m::\u001b[0mBase.PkgId\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @ \u001b[39m\u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:1337\u001b[24m\u001b[39m\n", - " [5] \u001b[0m\u001b[1m_require_prelocked\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90muuidkey\u001b[39m::\u001b[0mBase.PkgId\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @ \u001b[39m\u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:1200\u001b[24m\u001b[39m\n", - " [6] \u001b[0m\u001b[1mmacro expansion\u001b[22m\n", - "\u001b[90m @ \u001b[39m\u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:1180\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", - " [7] \u001b[0m\u001b[1mmacro expansion\u001b[22m\n", - "\u001b[90m @ \u001b[39m\u001b[90m./\u001b[39m\u001b[90m\u001b[4mlock.jl:223\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", - " [8] \u001b[0m\u001b[1mrequire\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90minto\u001b[39m::\u001b[0mModule, \u001b[90mmod\u001b[39m::\u001b[0mSymbol\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @ \u001b[39m\u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:1144\u001b[24m\u001b[39m\n", - " [9] \u001b[0m\u001b[1minclude\u001b[22m\n", - "\u001b[90m @ \u001b[39m\u001b[90m./\u001b[39m\u001b[90m\u001b[4mBase.jl:419\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", - " [10] \u001b[0m\u001b[1minclude_package_for_output\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mpkg\u001b[39m::\u001b[0mBase.PkgId, \u001b[90minput\u001b[39m::\u001b[0mString, \u001b[90mdepot_path\u001b[39m::\u001b[0mVector\u001b[90m{String}\u001b[39m, \u001b[90mdl_load_path\u001b[39m::\u001b[0mVector\u001b[90m{String}\u001b[39m, \u001b[90mload_path\u001b[39m::\u001b[0mVector\u001b[90m{String}\u001b[39m, \u001b[90mconcrete_deps\u001b[39m::\u001b[0mVector\u001b[90m{Pair{Base.PkgId, UInt64}}\u001b[39m, \u001b[90msource\u001b[39m::\u001b[0mString\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @ \u001b[39m\u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:1554\u001b[24m\u001b[39m\n", - " [11] top-level scope\n", - "\u001b[90m @ \u001b[39m\u001b[90m\u001b[4mstdin:1\u001b[24m\u001b[39m\n", - "in expression starting at /Users/gaetanfacchinetti/.julia/packages/DataStructures/t9DKl/src/DataStructures.jl:1\n", - "in expression starting at stdin:1\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[91m\u001b[1mERROR: \u001b[22m\u001b[39mLoadError: " - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Failed to precompile DataStructures [864edb3b-99cc-5e75-8d2d-829cb0a9cfe8] to /Users/gaetanfacchinetti/.julia/compiled/v1.8/DataStructures/jl_CdjdP2.\n", - "Stacktrace:\n", - " [1] \u001b[0m\u001b[1merror\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90ms\u001b[39m::\u001b[0mString\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @ \u001b[39m\u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4merror.jl:35\u001b[24m\u001b[39m\n", - " [2] \u001b[0m\u001b[1mcompilecache\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mpkg\u001b[39m::\u001b[0mBase.PkgId, \u001b[90mpath\u001b[39m::\u001b[0mString, \u001b[90minternal_stderr\u001b[39m::\u001b[0mIO, \u001b[90minternal_stdout\u001b[39m::\u001b[0mIO, \u001b[90mkeep_loaded_modules\u001b[39m::\u001b[0mBool\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @ \u001b[39m\u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:1707\u001b[24m\u001b[39m\n", - " [3] \u001b[0m\u001b[1mcompilecache\u001b[22m\n", - "\u001b[90m @ \u001b[39m\u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:1651\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", - " [4] \u001b[0m\u001b[1m_require\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mpkg\u001b[39m::\u001b[0mBase.PkgId\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @ \u001b[39m\u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:1337\u001b[24m\u001b[39m\n", - " [5] \u001b[0m\u001b[1m_require_prelocked\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90muuidkey\u001b[39m::\u001b[0mBase.PkgId\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @ \u001b[39m\u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:1200\u001b[24m\u001b[39m\n", - " [6] \u001b[0m\u001b[1mmacro expansion\u001b[22m\n", - "\u001b[90m @ \u001b[39m\u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:1180\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", - " [7] \u001b[0m\u001b[1mmacro expansion\u001b[22m\n", - "\u001b[90m @ \u001b[39m\u001b[90m./\u001b[39m\u001b[90m\u001b[4mlock.jl:223\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", - " [8] \u001b[0m\u001b[1mrequire\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90minto\u001b[39m::\u001b[0mModule, \u001b[90mmod\u001b[39m::\u001b[0mSymbol\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @ \u001b[39m\u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:1144\u001b[24m\u001b[39m\n", - " [9] \u001b[0m\u001b[1minclude\u001b[22m\n", - "\u001b[90m @ \u001b[39m\u001b[90m./\u001b[39m\u001b[90m\u001b[4mBase.jl:419\u001b[24m\u001b[39m\u001b[90m [inlined]\u001b[39m\n", - " [10] \u001b[0m\u001b[1minclude_package_for_output\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mpkg\u001b[39m::\u001b[0mBase.PkgId, \u001b[90minput\u001b[39m::\u001b[0mString, \u001b[90mdepot_path\u001b[39m::\u001b[0mVector\u001b[90m{String}\u001b[39m, \u001b[90mdl_load_path\u001b[39m::\u001b[0mVector\u001b[90m{String}\u001b[39m, \u001b[90mload_path\u001b[39m::\u001b[0mVector\u001b[90m{String}\u001b[39m, \u001b[90mconcrete_deps\u001b[39m::\u001b[0mVector\u001b[90m{Pair{Base.PkgId, UInt64}}\u001b[39m, \u001b[90msource\u001b[39m::\u001b[0mString\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[90m @ \u001b[39m\u001b[90mBase\u001b[39m \u001b[90m./\u001b[39m\u001b[90m\u001b[4mloading.jl:1554\u001b[24m\u001b[39m\n", - " [11] top-level scope\n", - "\u001b[90m @ \u001b[39m\u001b[90m\u001b[4mstdin:1\u001b[24m\u001b[39m\n", - "in expression starting at /Users/gaetanfacchinetti/.julia/packages/QuadGK/OtnWt/src/QuadGK.jl:6\n", - "in expression starting at stdin:1\n" - ] - }, - { - "ename": "LoadError", - "evalue": "LoadError: Failed to precompile QuadGK [1fd47b50-473d-5c70-9696-f719f8f3bcdc] to /Users/gaetanfacchinetti/.julia/compiled/v1.8/QuadGK/jl_3L67ml.\nin expression starting at /Users/gaetanfacchinetti/Documents/work/codes/CosmoTools.jl/src/CosmoTools.jl:1", - "output_type": "error", - "traceback": [ - "LoadError: Failed to precompile QuadGK [1fd47b50-473d-5c70-9696-f719f8f3bcdc] to /Users/gaetanfacchinetti/.julia/compiled/v1.8/QuadGK/jl_3L67ml.\n", - "in expression starting at /Users/gaetanfacchinetti/Documents/work/codes/CosmoTools.jl/src/CosmoTools.jl:1\n", - "\n", - "Stacktrace:\n", - " [1] error(s::String)\n", - " @ Base ./error.jl:35\n", - " [2] compilecache(pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool)\n", - " @ Base ./loading.jl:1707\n", - " [3] compilecache\n", - " @ ./loading.jl:1651 [inlined]\n", - " [4] _require(pkg::Base.PkgId)\n", - " @ Base ./loading.jl:1337\n", - " [5] _require_prelocked(uuidkey::Base.PkgId)\n", - " @ Base ./loading.jl:1200\n", - " [6] macro expansion\n", - " @ ./loading.jl:1180 [inlined]\n", - " [7] macro expansion\n", - " @ ./lock.jl:223 [inlined]\n", - " [8] require(into::Module, mod::Symbol)\n", - " @ Base ./loading.jl:1144\n", - " [9] include(fname::String)\n", - " @ Base.MainInclude ./client.jl:476\n", - " [10] top-level scope\n", - " @ ~/Documents/work/codes/CosmoTools.jl/test/test.ipynb:1" - ] - } - ], - "source": [ - "include(\"../src/CosmoTools.jl\")\n", - "import .CosmoTools" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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Ω.(Radiation, z), label=\"Radiation\")\n", - "plot!(p, z, Ω.(Matter, z), label=\"Matter\")\n", - "plot!(p, z, Ω.(DarkEnergy, z), label=\"DarkEnergy\")" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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mean_ρ.(Radiation, z), label=\"Radiation\")\n", - "plot!(p, z, mean_ρ.(Matter, z), label=\"Matter\")\n", - "plot!(p, z, mean_ρ.(DarkEnergy, z), label=\"DarkEnergy\")" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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a0/FhbHMMl4dXcregjoUxQZF8BU8mtdDRWgjw7l5fCB8+fHjr1i07Oztvb28KmxYogUhIbLq4+Dp/vUD8pAWTNEhmgxPPUDtNzai/w5jASL5SIJ+3RC0EeBvP/cupqKiYMGGCtbW1mZnZnDlzCCHz5893cXHp2bNn69at/f39CwoKVJRTO1XwZP0dwfNPbsZ5fnhTOnWobFYrGlUQ3oizKfV3b2bFLeGnq4KqswBopOd6hAsWLFi3bl1gYKCdnd3ChQtZlv3+++8/+OCDwMDAy5cvL168+Msvv9ywYYOqsmqTnHKy8pawMpH3saGWdmQC66OrDW+voTF1PIztHcvdLBDXdsGke4A389xgmfr16wcGBm7ZsoUQsm3btlGjRvXv3z8iIkL+6Ndff71kyZInT57IZDIpI2rZYJlbheKvN4Q994VBjekvWtJ1u24Wxg7osqcc+fgUfyVP3BvENDHTiZ9WOOChTvx7arS0tPTRo0f9+vWT3+3Vq5cgCKGhodVPCA8PLy8vz8jIkDqjtjiaKYbFcN0Pcw2MqTuDZKs7Y/VIqEuGLNnUjZnoTnc6xEU+VPfR4ADq499zKPKuYXVvz9zcnBDy7EIz8tu5ubnOzs5SRtR0lQLZdU9YfF2oEsgXLem9QbQ+ZgSC0kxqQbeypobE8+Pd6DmtsfoMwOv9WwhNTEzMzc3T0tLkdymKmj9/voeHR/UTMjMzCSF2dnYSR9RcBRVkzW1heaLQ3ILMa8f0bIBBtyAFv3rUhb7skKPcmcfCVn8Ww68AXu25UaPt2rU7fvy4/DZFUTNmzGjWrFn1o8ePH7ezs2vYsKGkATXTvWLxszN8091VtwrFyJ5MXCgbgioIErI3JEd7sa2sqTb7udPZOE0K8CrPDS/bvn17RUXFy55qZWU1f/58TCV8tTOPxcXXhb8fCRPc6OsD2PpG+M8FqsHSZH47pnM9sf8RboY383lLnCUFUAxLrNUN+R6Bi28I2U/J5y3psa60sSqGsGMQHbwotVgcHM83NKa2+GvbzAoc8FAnsBTFuyrlyG+JglsEt+i6MLUlfWcQO7mFaqoggELOptSJ3qwxS0KjueIqVacBUD8vLYQpKSlS5tBEj8rINxd4551Vfz8SN3djToezAxrTDE4/gfrRZ8imboyHJRUUyeW/9OoHgI5SXAh//vnnFStWSBxFg1zPF8cm8C3/rCquImfD2T2BjF89FEBQazRFfu/E+DtQ/oe5rKeqTgOgThScwps9e/avv/4aHx8vfRr1dzJL/Pkf/mKOOLE5nTRYZq2v6kAAtUYR8nN7xkpf6HSQi+vFuJji1xsAIS8WwtmzZ8+fP3/Pnj2+vr4qCaSeKgWyM0VYdF0QRDLVk94TiEnxoKlmeNMGDAmM5CN7MtjqC4DUKITTpk1bvHjxunXr+vbtq6pA6qawkqy+9b9J8QvaMz0wHRA032ctaSsDEnCY29GdDXDAEQ267rlCuGfPnvfff3/cuHGqSqNWUovFpTeFzXeFsIb04Z6MtxW+L0B7jGxKNzSmhsZzC9ozo5ph9DjotJory+zevRtXBy/kiEPj+bb7OT2a/NOf3eyPKghayN+BOhbGfn9Z+O4yr+6ziQGU6blCuG3btt69e/ft2/fKlSuqCqRCgkgOPRD8D3ODjvK+dtT9obKf2zOOxiiBoLWaW1Cnw9moh+KY43wltvUFXfVcIdTT09u9e3efPn169ux59+5dVWWSXjlP1twWPP7kvr8sfOROJw9mv2hJm0q66yKAatQzJMfC2CeVpHcMV4Lp9qCTal4bYBhm48aNwcHBq1atUkkgieWWk5+vCU13cxH3hQXt6Yt92aFNaBZXTECXGLFkTxDTxIzyP8w9xhRD0D0K5hGyLLt58+Zz585Jn0ZK94rFpTeELclC74Z0TAjjYYlToKC7GIqs7MT8fE3oeJCLDmGameOfA+gQxWtiMgzj5+cncRTJXMoVl94QDj8URjSlr/dncRUQQG6GN21nSAIi+YPBjI8N/l2ArtChxaF5kexLFRZdF3LLyRct6VWdZVq2Ej/AuxvrSlvokdAYLiKQ7WqPWgg6QXEpWLt2LcdxH3/88bONO3bsyMzM/PLLLyUJVpdKObIxSVhyQ6hnSKZ70X0b0diZDeBl+jnTFvrUoKPcNn82yBH/VED7KR4WMnv2bCMjoxqNdnZ2s2fPLi0tVX6qOpP1lMy+yDfeWXUsU9zcjTn1HtvfGVUQ4DUCHKi9Qez7f3ORDzHDELSfgkKYl5f3+PFjHx+fGu0+Pj7l5eX379+XJNi7SiwUx5/gW+ypKqgkp8PZP4OwQQTAG+hUjzrUgx2XwO1LxQRD0HIKTo3yPE8IebHnV1JSQgiprKyUINa7OJEl/nyNv5QrTmrBJA2S2RioOhCAZmpvS0WFsGExXKVAhrhgUhFoLQWF0NbW1t7efvv27R06dHi2ffv27fr6+q6urlJle0sL/uH7NKL3BNEG2CAC4N20tqZiQ9mQaL6CJ1iSFLSVgkJIUdQXX3wxc+bMioqKMWPGNGzYMCsra/fu3UuXLv3oo49MTEykT/lGDvXAYFCAOtPSkorvxQRF8k+qyOQWqIWghRTXjGnTpmVnZy9dunTNmjXyFpqmR48e/csvv0iYDQDUgqs5deI9JjCS5wTyeUvUQtA2lCi+dFTYgwcPEhISMjMz7ezsunTp0qRJEymTVcvOzvb29s7KylLJp2uW4uJiU1NTVacA7fSgRAyK4kc2pee0VpdaiAMe6sSrziI6OTmNGDFCsigAoM6cTKiE3mxwJFfKifPb4Qo8aI+XFsLi4uKtW7devXo1IyPD3t6+ZcuWI0aMsLGxkTIcAKgVe0NytBcbHMXRhP8JtRC0heJTo4mJiaGhoQ8ePLC3t3dwcHj8+HFmZqa1tfXBgwc7duwocUScGq09nCkCCRRUkJ7RXFd7aqGvimshDnioE4rP9Y8aNYqiqFOnTj169Ojy5cvp6elXr151dHQcOnQox3ESRwQAtWKpT2JD2ZPZ4sensLU9aAMFhTAnJ+fSpUurVq16dgMKLy+vzZs3P3jw4ObNmxLGAwB1ZKFHYkLYq3nixyd5AcUQNJyCQiiTyQghTk5ONdobNWpU/SgA6DhzPXKkF3unSPzoFGohaDYFhdDCwiIgIGDr1q012rdu3erm5ubu7i5JMABQd8YsOdiDvV0oTkS/EDSZ4lGjEyZMmDRp0u3bt/v27Vu/fv3Hjx9HR0fv379/3rx58fHx8uc0b97c0dFRwqgAoHZMZSQ6hO0dw004wa/twmBrF9BEikeN2tvbZ2dnv/qVa9euHT9+vHJSPQejRmsPg+hAJco40juGa2xKSVwLccBDnVDcI9y9e/drd5lo3ry5EvIAgOYxYslfPdEvBE31qiXW1AR6hLWHH8igQtL3C3HAQ51QlzUDAUDTGbHkYA/27hNxEuYXgkZ57tToJ598kpOT8+oX7N69W5l5AECDmchIVAjbK5qbeJJf3ZnBKVLQCM8VwsOHDz9+/NjBwUFVaQBA0xmz5FBPtkcU98VZfkkHrEcKGuC5Qujk5JSWllavXr3Ro0cPGTLEwsJCVbEAQHOZyUhMCBscxU09yy9GLQS199w1woSEhIsXL7Zr12727Nn29vaDBw8+dOgQFhcFgDdlrkdiQ9kTWeK0c7yqswC8Rs3BMm3atFm6dOmDBw82btxYVFTUt2/fxo0bz5o1Kzk5WSX5AEBDWeiRqBA2LkP87jJqIag1xaNGDQ0Nhw0bFhMTk5aWNmrUqAULFkyZMkXiZACg6WwMSFwou/ue+PM1QdVZAF7qpRvziqJ48uTJTZs2RURE6OvrS78NIQBoATtDciyM9T/MMTSZ5on5WqCOFBTCjIyMrVu3rl+//u7du23atFm4cOGwYcMwaxUA3k49QxIXynT7izdhyUfNUQtB7TxXCHfv3r1mzZpjx441aNBg9OjRo0aNatq0qaqSAYDWaGBMHQtjuh3mWZqMd0MtBPXy3BJrzs7OWVlZffr0CQgIoGnFB+uHH34oVbb/wRJrtYcVp0Cd3SkSux/mf+1AD3apm1qIAx7qRM1CmJaW9uoXSL82KQph7eF7AdTc9XyxRxS3tgvb26kOlp3BAQ914rlTo4cOHXrtphMAAG/N04qKCmFDorlN3diQBliCDdTCc4XQ09NTVTkAQEe0sqb2BbN947g9gWwXe9RCUD1ctQYAqXW0o7b5swOPchdzsU0FqN6/hTAhIWHu3Lm1ec2oUaNwxQ4A3kWQI7WmMxMey90sQC0EFfu3EKakpMTGxtbmNdu2bXvy5InSIgGATujTiF7oy4RE8/eKUQtBlZ67Rnj9+vWgoKDXvkYQsFoSANSB4U3oSp50P8wn9GacTHC9EFTj30Lo6OjYtm3b2rwmKCjI2NhYaZEAQIeMcaWLKklwFJ/Qm61nqOo0oJMo6ecFvinMI6w9TKsCDTXrIh/5UDwWxlrovcGrcMBDncCoUQBQvf+2ZQIcqLAYrhT7n4LkUAgBQC0s9GVcTKkhR7kqDEIAaaEQAoBaoCmysSvD0NSY47yg7ldsQKugEAKAumBpEhHI5JSLk09jU3uQDgohAKgRPZrsCWIv5IjfXkItBImgEAKAejGTkagQds99cdF1XC0EKSjYoV6O5/nbt2+npqaWlZU92z5o0CDlpwIAnWZjQKJDmC5/8XaGZGRT/F4H5VJcCC9cuDBixIikpKQXH1L/eYcAoAWcTKiYEKZ7JGepR9XJ5oUAL6O4EA4ZMkRfX3/nzp1NmzaVOBAAgJy7BXWwBxsWgw2bQLkUFMKcnJz79+/Hx8cHBARIHwgAoFpbG2pnd3bgUS4mhG1ljVoISqHg5Lu5ubmhoSHLvvTyIQCAZAIcqNWdmfBY/j42qQDlUFAI9fT0pkyZsnjx4qqqKukDAQDU0LcRPas1HRzFZz1VdRTQRoq7fT/99NMHH3zg4eEREBBgaWn57EPz58+XJBgAwL8mutOPn5KwGO5YGGsmU3Ua0C6Kd59Yt27dRx99xPO8sbGxnt5zq8Hn5+dLle1/sPtE7WExftBuk0/ztwrFyJ6sPkMIDnioIwpOjVZVVU2dOrVXr14ZGRklJSX5z5M+IgCA3LKOjI0BNSSe53G5EOqOgkKYl5dXXFw8e/bs+vXrSx8IAOBlaIps8WeecliMFOqSgkJoa2tra2ubm5srfRoAgFeTL0Z6Pkf88QoWYIO6oaAQMgyzaNGiWbNmpaamSp4HAOA1TGUkOoTdmiysScYsL6gDig+jQ4cOPXr0qFmzZm5ubg4ODs8+FBcXJ0kwAICXsjUgkT2ZLofEZlZCeCMsRgrv5KW/pzw9PaXMAQDwRpqYUXu7VvRL0LfSpzpjATZ4B4oL4e7duyXOAQDwpjwsxO3d2QFHuSOhrKcVaiG8JZxSAAANFuBALe3AhMXwD0sxowLe0kuvEZaXlyt8CPsRAoBaGdqEflhKQqP5E71ZS31VpwENpLgQTpgwITs7W+FD2I8QANTNdC86s0zsf4SLDvnfojMAtae4EJ47d47n/52vWlJScvz48QULFixfvlyqYAAAb2CRLzP8GD/qOL8jgKFxuRDehOJC2KhRoxotXl5elpaW06dPDw8Pp2lcWQQA9UJTZLM/ExbDTT7Nr+iEXiG8gTcoaUFBQcnJybdu3VJeGgCAt6ZHkz+D2NPZ4uLrWHQG3sAbFMLbt28TQvT1cTEaANSUmYwc7sksuylsSUYthNqq1ajRqqqq5OTklStXOjs7u7i4SJUNAOCNORpTh3sy3SM5B0MqyBFXC+H1ajtqlGGYwMDAX3/9FRcIAUDNeVhSO7uzQ+O5o73YlpaohfAatRo1KpPJHBwcWBbr2wKAZghwoJZ0YMJi+NPvMY7GqIXwKgpq29OnT3fu3Nm7d28PDw/pAwEA1IlhTeiHpSQkmj/xHmuhp+o0oMYUnOcsKiqaOXNmSUmJ9GkAAOrQV150QH2qfxxXgX184eUUb8xrZ2eHzQgBQAss6cBY6FNjE+PlL9YAACAASURBVHisiQUvo3hj3p9++mnOnDl37tyRPhAAQB2iKbLNn0ktFv9zCb1CUEzx+JeYmJjCwkIPDw9XV9f69etT1L+XmrExLwBoFkOWHOjB+h3knE2Fca4Y9w41vXQgqLe3t5Q5AACUx9aAxIQyXf/iHY2ong0wiBSeg415AUAnuJhSe4OY8FguOoRtZY1aCP9SfJZgy5YtL27DlJ2dvWbNGuVHAgBQiva21G9+zHux2MUXnqO4EE6fPj0lJaVG47179yZOnKj8SAAAyjKwMf15Szo0mi+sVHUUUBtvcN24pKTE2NhYeVEAACTwpScdWJ/qH8dVYl1uIITUuEZ4/fr1M2fOEEKePn164MCBGzduVD9UVVW1bds2d3d3qQMCANS1xR2Y/kf4j0/y67ti50J4vhAeOXJk6tSp8tsLFiyo8VQXF5d169ZJlAsAQGkYiuwMYAIiuf9eFWa1woQKXUeJ4r8XjcvLy58+fUoIcXNz27JlS/v27asf0tfXNzIyUkFAQrKzs729vbOyslTy6ZqluLjY1NRU1SkAJPKOB3zWU9LxIPdDG3pkU9RCnfZcj9DAwMDAwIAQcuTIERcXFxMTExWlAgBQOntDcrgnE3CYa2BMBThgQoXuUvw7KD8/PyEhoUbj8ePHIyMjlR8JAEAiLSyoXd3Z4fHcnSJMqNBdigvh+PHjk5KSajTm5OSMGDGishKDjgFAe/g7UP9tx/SO4XPLVR0FVERBIXzy5ElKSkqXLl1qtHfu3LmgoOD+/fuSBAMAkMg4V3qIC9U3jivHutw6SUEhLC0tJYS8uB+9vKW4uFiCWAAAUvqxLdPYlBr1N3Zr0kWK9yM0MzOLiYmp0R4dHU3TdOPGjSUJBgAgHYqQ9V2ZnHLxW+zWpHsUFEKWZUeOHPmf//xn1apV5eXlhJDKysodO3Z89tln4eHh1tbWkocEAFA6PZrsCWJ33RPX3MaSM7rluXmE1UpLS8PDw+Pj4ymKsrW1zcvL43m+TZs2UVFRtra2EkfEPMLawzxC0CnKOOBTnohd/+I3+zOB9TGhQlco3obJ2Ng4Li4uMjLy6NGjWVlZtra2Xbt27du374sXDgEAtEkTM2p7ADMknvs7jHW3QC3UCYp7hGoFPcLaQ48QdIryDvjNd4UfrghnwllbA2W8PaiXl/bwqqqqoqOjb968+eTJk59++okQcvv2bSMjIycnJwnjAQCowKhm9N0nYr847kgv1gDrcms7xT3CjIyMkJCQGzduGBgYWFtbp6enE0KmTZt2+vTp06dPSxwRPcLaQ48QdIpSD3iRkJF/81UC2dmdwRlS7aZ4ZZkJEyZUVFRcunQpKiqqunHw4MHnzp0rKiqSKhsAgMpQhKzrwqSXit9fxoQKLaegEJaUlMTGxi5ZssTHx4ei/v0l1LRpU0EQHj58KGE8AACVMWDIgWB2W7K4JRkTKrSZ4iXWeJ5/ceI8x3GEEKw1CgC6w8aAHOjBTD/Hn8xS93GF8NYUryxjbGx89uzZGu2xsbEsyzZt2lSSYAAAaqGFBbXFnx10lEt5glqonRQUQplMNmLEiJkzZ0ZHR8uH0vA8f/DgwalTpw4aNMjMzEzykAAAqhTsSM1ty/SO5QsqVB0FlEDx9ImFCxfevXs3NDRUX1+f53kLC4uSkhIfH5/ly5dLnA8AQB184Eb/ky/2O8LFhrJ62NBeu7x0Qr0gCIcPH46Njc3OzjY3N+/WrduQIUNkMpnE+QimT7wJTJ8AnSLxAS+IpG8cb2dI1nXB1EKtgpVltAoKIegU6Q/44irS+RA31pX+vCV6hdrjVWuHXrly5erVqxkZGfXq1fP09PT19X12NgUAgK4xlZGDPRi/g3wzcyqsIb4PtYTiQlhYWDh8+PBnZ9MTQvz8/CIiIurXry9JMAAAddTIhNobxITHcUdCWU8r1EJtoLh3P3bs2ISEhEWLFqWlpZWXl6enp69ZsyYpKal///4S5wMAUDe+dtTvfkx4HJ/9VNVRoC4ouEb45MkTS0vLtWvXjhs37tn2mJiYkJCQO3fuuLq6SpgQ1wjfAK4Rgk5R7QH/3WX+8APxeG/WCNvTaTgFPcLy8nJBEDp16lSjXd5SVlYmRS4AAPX2Hx/GzYIac5xX9wGH8DqKV5Zxc3M7ceJEjfaEhAQrKyt3d3dJggEAqDX5qtwPS8X/XsFKpJpNQZeeoqhNmzYNHTo0Ly+vf//+9vb2ubm5UVFRv/zyy5YtWwwMsE8lAAAhhBgwZF8w2+EA52ZBBjXGhApNpXgeob29fXZ29qtfuXbt2vHjxysn1XNwjbD2cI0QdIqaHPDX8sUeUdzhnmxbGwwi1UiKL/LOnj27tLT01a9s3769EvIAAGgYbytqU1e2Xxx/JpxpYIxaqHkUF8LJkydLnAMAQHOFNqQmt6DDY/kT77HGGESqaWp1Ujs/P//MmTOFhYXKTgMAoKFmeNNtbalRf/MCRpFqGsWF8MMPP5w/f7789rlz51xcXPz8/Bo0aBAbGythNgAATfK7H5NfIX5/mVd1EHgzCgohz/Nbt2718vKS3/3qq6/s7e0PHToUFhY2adIkQcBAYQAABWQ02R3IbkkWd6Tge1KTKDiZnZ+f//TpU/nyMXl5eadOnVq/fn3v3r1btWrVsGHDhw8fNmrUSPKcAAAawNaAHOzBBEZyTcyo9rYYOKMZFPQIaZomhHAcRwiJiYnheT4oKIgQYmdnRwjJycmRNiEAgCZpaUn90Y0dcIR/WIqrhZpBQSG0tra2s7Pbvn07x3EbNmzw8vJydHQkhDx48IAQYmNjI3VGAACNEtKAmuJB94nlSzlVR4FaUDxY5ttvv/3xxx8NDQ2PHj06ffp0eWNMTIyVlZWTk5OE8QAANNJXXnQbG2o0ViLVBIonvHzyySfe3t6XL1/28fHp3LmzvNHAwGD+/PnyE6cAAPBqKzoxwVHcD5eF//jga1OtKV5iTa1gibXaU5MVpwCkof4HfG456XCQm9uGHtoEtVB94f8NAICy2BiQP4OYT8/wl3LVvcuhy1AIAQCUyNuKWt2Z6RPHZ2AQqbpCIQQAUK5+zvREd7pPHF+GQaRqCYUQAEDpZremXc2piSex+po6UlAIKyoq1qxZc+fOHQk+Pi0tbdq0aV999VVGRoYEHwcAoBIUIeu7MElF4oJ/sPqa2lFQCPPz8ydOnFhQUKDsz+Y4rlevXoGBgZ07dw4LC8MqpgCgxQxZsj+Y/e2mcDAN33XqRUEhtLW1tbS0lGC6wrFjx5o3bx4aGhoeHu7o6HjmzBllfyIAgAo5GJGIQGbCSf5mAQbOqBEFhZBl2W+++ea7777Lzs5W6menpqa6uLjIb7u4uNy/f1+pHwcAoHK+dtQiX+a9WD63XNVR4P8pXlnmzp076enpLi4u7du3t7W1ffah3bt319VnU9S/0/lFUcSaNQCgC0Y0pa/ni/2PcEd6sXr42lMDigthWlqas7MzIaS4uLi4uPgt3regoOCff/4xNDRs3779s+2nTp26fPlys2bNevbs2bhx48jISHl7SkrK+++//xYfBACgcea1Y/rG8V+e5Zf7MarOAi8phO+4E/3atWsnT55sa2trb29/8eLF6vaFCxcuW7Zs6NChq1evPnjw4LJlyz7//PMDBw5UVlY+fvy4Q4cO7/KhAACagqbItgDG7yC3+rYw0R29QhVTylqjhYWFRkZGu3fvXrJkSXUhLC0tbdCgQVxcXNu2bbOzsxs3bpyYmMiy7KpVq2ianjRpkr29vcJ3y87O9vLyun37dnWLsbGxnp5encfWAuq/9CJAHdL0A/5+sdjpELctgA1wwBa+qqS4R0gISUpKWrly5c2bN1mWlZ/A3Llzp6mpaVhY2Gvf1MLC4sXGs2fPmpiYtG3blhBSr1699u3bx8bGfvjhh3Pnzn31u1VVVeXm5lYPqyGEfP7551OnTn1tDB1UUlKi6ggA0tH0A96GkFXt6OHx4pHASidjjCNVCgMDA5lM9urnKC6EJ06cCA0NNTc3d3Z2TktLkzdmZmauXLmyNoVQoczMTAcHh+q7Dg4OmZmZtXmhTCaztbXF7hO1pNE/kAHelKYf8OGmJLVSGH6aPh3OGr+0YwLKpfjc9KRJk/z9/ZOTk//73/9WN4aEhCQnJ791QRJFkaL+7f4/O2QUAEBnfepBd7CjRv7NC/hGVBEFhTAvL+/GjRtz5swxNDR8tnTJ96avZTfuRQ4ODs8W0aysrGc7iAAAOus3Pya/QvzxClacUQ0FhZDjOEKIvr5+jfacnBxCyFuPUvH19c3Pz79x4wYhpKCg4Ny5c4GBgW/3VgAA2kRGk13d2Q1Jwu57qIUqoKAQ2tnZOTg47N+/nxDybI9w8+bNZmZmbm5ur33T69evDx48ePny5ffu3Rs8ePC8efMIIWZmZl9++WX//v3nzp3bs2fPAQMGNGvWrO7+EAAADVbPkBwIZqac4f/JxxlSqSm4OEtR1IwZM6ZNm1ZWVtaoUSOe58+cObNr167ffvttzpw5rx1+Qwixs7MbNGhQ9d3qU6Dfffedr6/vlStXpk2bNnDgwLr6GwAAtEAra2pZR6ZvHH++D2tjoOo0ukTxiBVRFH/88cd58+aVl/9vOTyWZT/55JNFixYxjNTrIGRnZ3t7e2PUaG1o+rQqgDeilQf8rIv86WwxNpSVYZ69VF41dDMvLy8hISEnJ8fU1LRLly4NGjSQMlk1FMLa08rvBYCX0coDXhBJ3zi+kQnB6muSedW8FWtr6379+kkWBQAA5KuvdTzIrbktfIjV1yShuBC2bt26WbNmQUFBoaGhDRs2lDgTAIAuM5WRQz0Yv4OcmznVDauvKZ/inxtBQUHXrl2bOHGik5NTy5YtP/vss4MHDxYVFUkcDgBANzU2pTb7s8OP8Q9LMYhU6V51jTA9Pf3o/8vMzGQYpm3btmfPnpUyH8E1wjehlZdMAF5G6w/4hdeFXSlCQm/WEKuvKdPr1zkrKSk5fvz477//Hh0dLYqi9OuioRDWntZ/LwA8SxcO+JF/8yIhW/0xcEaJFJ8araqqOnHixHfffdelSxcrK6tBgwZxHDdv3rwLFy5InA8AQJet7cLcLRIXXseKM0qkuL/drFmzjIyMtm3bBgYG/vDDDx07djQwwPROAACpGTBkfzDb/gDXwoLq1RADZ5RCcY+QpmlRFDmO4ziO53lsEwEAoCoORmRXd2ZcAne3CF/FSqG4ECYlJSUkJISHh589e7Z3795WVlaBgYE//fTTuXPnJM4HAAB+9aj57ZjwOL6oUtVRtNHrB8uUlZWdOHFi6dKlUVFRhBAMllFnujB2AKCarh3wk07xGWVkXxBD4xRpnXrVmNy0tLQjR44cPXo0Pj4+OzubZdl27dpJlgwAAJ61tCMTGMl9f5n/vg0GkdYlxYXwyy+/PHjwYHJyMkVRnp6ew4YNCwwM7Natm079+AIAUCsymuwLZtvv5zwshcEuWH2tziguhGfOnAkICJg7d25AQICdnZ3EmQAAQCFrffJnENMzmmtuQXla4Qxp3VBcCE+fPi1xDgAAqI1W1tRiX6YPti2sO6+5Rnjt2rX09HQHB4eWLVtiQ3kAAHXwflP6Sp447BgX1ZNlcYr0nSkuhJWVlRMnTty8ebMg/LucQZ8+fTZv3mxmZiZVNgAAUGxBe6Z3LPf1Bf4XXwyceVeKf0t89dVXW7ZsmTx58okTJ1JSUs6ePTtr1qzY2Njx48dLnA8AAF5EU2SrP7svTdyegtXX3pWCHmFVVdX69et/+OGHb775Rt7i4uLi6+vbrFmzcePG5eTk2NraShsSAABqstInh3ow/oc5V3OqrQ0Gzrw9BT3CnJyckpKS9957r0Z7eHi4IAipqalS5AIAgNdpbkGt7swMPMLnlKs6iiZTUAjNzc0Zhrl9+3aN9lu3bhFCrK2tpcgFAAC10LcRPaIp1f8IV4lTpG9LQSE0NjYODg6eMmVKdHR0deOZM2fGjh3r7e3t4uIiYTwAAHiNH9owFnrkq/O8qoNoKsWDZVatWmViYhIaGmphYdG8eXMbGxs/P78nT55s3rxZ4nwAAPBqNEW2B7Bx6eL6O+gVvg3F0ycaNWp07dq1bdu2nTx5Mjs728fHx9fXd9SoURYWFhLnAwCA1zKVkT1BjP9hzsuKameLgTNv5vW7T6gcdp+oPV1bjB90HA74Gg6kCZ+eEc73YesZqjqKRnnVyjK3b9++du1aRkZGvXr1PD09vby8JIsFAABvqk8j+nKu2P8IdyyM1cOKM7WmuBAWFxePGzduz549zzYGBgZu374da3ADAKit79owNwv5L8/yy/2w4kxtKf7NMH78+L/++uvHH3+8efNmfn7+nTt3lixZcvny5QEDBkicDwAAao8iZGNXJj4TA2fegIIeYXFx8Z9//vn7779PnDhR3mJpaenq6uri4hIeHp6cnNy0aVNpQwIAQG2ZysjeYKbbX5ynFdUeA2dqQUGPsKysjOd5f3//Gu0BAQGEkOLiYgliAQDAW3Mzp9Z0Zvof4TPL1H04pDpQUAjt7OyaNGly9uzZGu1nz541Nzd3d3eXJBgAALy98Eb0eDdqWDxfhVOkr6OgEFIUtWHDhjlz5vz2228ZGRmCIGRlZW3atGnChAkbNmwwNMSwXAAADfAfH8bWkJp6FivOvIbieYT29vbZ2dmvfuXatWul2ZUJ8whrD9OqQKfggH+t4irS4QA31ZP+wA3TKV5K8fSJ2bNnl5aWvvqV7du3V0IeAACoMxg4UxuKC+HkyZMlzgEAAMpQPXDmQh/WwUjVadQSOssAAFouvBE9zpUadBRbNSmGQggAoP2+82Es9cn0cxg4owAKIQCA9qMpssWfjU4XtySjV1gTCiEAgE6w0CMHezDTzvEXczHL/jkohAAAusLNnFrdmRl4hM8pV3UUdaKgEObk5DRp0iQuLk76NAAAoFR9G9HDm1BD4zkOp0j/n4JCKJPJ7t27Z2xsLH0aAABQtrltGX2GfH0BA2f+R0EhtLCw8PX1jY+Plz4NAAAoG02Rrf7svjRxZwp6hYS8bEL90qVLhw4dynHce++917BhQ5lMVv2QpaWlVNkAAEAprPTJn0FMcCTnYUl5Wun6ijNvvNaowucrFdYarT0svQg6BQf8O9qRInxzUbjYl7XWV3UUlVLcI/zll1+ePn0qcRQAAJDSsCb0hRxxWDwXFcIyOtwtVNwjVCvoEdYefiCDTsEB/+54kfSK5trbUT+2YVSdRWVeNY+wrKzs2rVrJ06ckCwNAABIiaHI9u7stmRxz33dHTijuBByHDd16lQrK6tWrVoNGzZM3jhhwoThw4dLmA0AAJTOWp/8GcR8cppPLFT3E4RKorgQzpw5c/Xq1XPmzFm6dGl1Y//+/Q8cOFBejgUJAAC0Smtral47ZuARvrhK1VFUQUEhrKqqWr169S+//DJr1ixvb+/qdi8vr7KysvT0dAnjAQCAFMa50t0cqJF/8zrYK1S8xFpJSUlAQECNdvlF6YKCAilyAQCAtJZ1ZPIrxJ+v6dzFQgWF0MzMjGGYhw8f1mi/du0aIcTR0VGKXAAAIC0ZTXYHsr8nCtHputUtVFAITUxM/P39v/3224KCAor639SSnJyc6dOnt2vXrn79+tImBAAAidgbkl3dmbHHuXvFOlQLFU+oX758eZcuXVxdXZs3b15UVDRw4MD4+PiqqiosQAoAoN386lFft2L6x/Gnw1kjxSVC2ygeNdq8efMrV64MHDgwPT1dFMXTp0+HhIRcuHChXbt2EucDAACJfepBe1pRH5/Sle0psLKMVsFCG6BTcMArTxlH/A5yE9zpT1po//7tiv/CwYMHJyYm1mhMTEwMDg5WfiQAAFAxI5Yc6MHMvcInZKl7Z+ndKS6ECQkJhYWFNRqLioqOHj2q/EgAAKB6jUyozf7ssHg+o1TLa+Eb9HnT0tJsbGyUFwUAANRKsCP1UXN60FG+UqvnFj43JOjPP/9ctWoVIaSgoODzzz83NzevfqiysvLSpUs9e/aUOiAAAKjO7Nb01Txx2jl+WUet3Z6itj1CU1PTyZMny8skAADoCIqQTd2YIxnixiSt7RUqHjXao0ePhQsXenl5SR/oRRg1WnsYRAc6BQe8ZG4WiAGHudhQtpW1Fm7gq7hHOGXKlBeXUsvLy4uIiFB+JAAAUC8eltTqzky/I3yuNu4/pLgQTpgw4c6dOzUak5KSBg8erPxIAACgdvo50/2dqeHHOO3bn+INRo2WlZUZGRkpLwoAAKizBe0ZQsgPl7VtxZnnRo0mJSXJt5goLy+Pj4/PyMiofqi8vHzTpk3NmjWTOiAAAKgHhiJb/dm2+zlva6G/s/asOPNcITx8+PDUqVPlt+fMmVPjqba2tn/88YdEuQAAQP3YGZKIQKZ3LNfCgnK30JKBM8+NGi0qKsrLyyOE+Pr6rly50sfHp/ohQ0NDBwcHFQTEqNE3gUF0oFNwwKvKqlvCilvCmXDWWCu2p3jujzA3N5dPoj969KiLi4uJiYmKUgEAgPr6qDl9Lkf88AS/LUAbZtkrPsnr5eWFKggAAC+zshNzp0hcekMbZtm/tFu7d+/e7du337t3r6io6Nn2lJQU5acCAAC1ZsCQP4OYDge41jZUV3vNvliouEe4dOnSAQMGZGdnl5SUmJube3p6FhYW5uTkdO/eXeJ8AACgnhqZUFu0YnsKxYXwl19+mTx58okTJzp16tSrV6/9+/enpKT4+vrq6elJnA8AANRWkFZsT6GgED558iQjI2Ps2LGEEIqiysvLCSEWFhbLli1bs2aNfFgpAAAAIWR2a9rBiPrqvAbPsldQCDmOI4QYGBgQQuzs7LKzs+XtjRo14jguNTVVwngAAKDWKELWd2UOPxC3p2hqr1BBIbSysrKyspIPivHw8IiJiZHP4du1axchpH79+hJHBAAAdWahR/YGMZ+e5q/kaeTFQsXXCHv06CEve4MHDzY2Nm7atKmbm9sHH3wwYMAAVU2rBwAAteVpRS33Y4bE84WVqo7y5hTvR/isjIyMDRs23L9/38fH58MPP5R+vAxWlqk9LLQBOgUHvLr59AyfWkwO9GA0azrF6wuhyqEQ1h6+F0Cn4IBXN1UCCYzkQhrQ37TSpCW5NSkrAACoMxlNdgeyK28J0enq3sV61nMry4wYMaJ6jOjLxMXFKTMPAABoMHtDstWfGRrPne3DNjLRjFOkzxXCkydPPn78uEWLFqpKAwAAmq6bAzXdixl0lD/Rm9XXhEW5nyuEnp6ef/31V2lp6ejRo0eOHOno6KiqWAAAoLmmetLncsQpZ/g1nTWgEj53jfDQoUO3b98eMmTI6tWrnZycgoODN2/eXFZWpqpwAACgodZ3YU5ni+vvaMAs+5qDZdzc3L777rvk5OTDhw9bW1tPnDjR0dFx0qRJV65cUUk+AADQRCYysjeI+eYifzFX3QfOKB41yjBMSEjIzp07MzMzp06dunbt2m+++UbiZAAAoNFczak1nZmBR/jcclVHeaWX7kdYVVUVFRW1adOmw4cPW1pa9ujRQ8pYAACgBfo0ok9micOOcdEhrNpOs1fQI0xMTJw5c2bDhg379+9fXFy8devW9PT0L774QvpwAACg6ea1YziB/HhFfbeneK5HuGbNmlWrVl25csXT03PGjBnvv/++nZ2dqpIBAIAWYGmyqzvbdj/X3lbs1VAde4XPLbHm7OyclZXVp08fHx+fl71gxowZkgT7F5ZYqz2sOAU6BQe8Bjn7WOwbx50OZ11M1a4W1iyEaWlpr36B9GuTohDWHr4XQKfggNcsy24KG+4Ip8NZo5eOTlGN5+IkJCTId+UFAACoW5960JdyxYkn+S3+6jXL/rlC6OTkpKocAACg9VZ0YnwPcOvuCOPd1GjLBzWKAgAA2s2YJX8GMbMu8pfUaZY9CiEAAEjHzZxa4ccMPMrnV6g6yv9DIQQAAEkNaEwPdKaGxHO8enQLUQgBAEBq89szFFGXWfYohAAAIDWGIlv82Q13xKiHqu8VohACAIAK1DMkuwOZsQncvWIV10IUQgAAUI0OdtRMb6Z/HP9UpTPYUQgBAEBlPm9Ju1tQn51V5cVCFEIAAFCl9V2Z09nihiSV7WWPQggAAKpkzJK9QczXF1Q2yx6FEAAAVOx/e9kf5fNUMcsehRAAAFSvTyO6XyNqzHFOkLxbiEIIAABqYUF75kklmXdN6ouFKIQAAKAWWJrs6M6svCUcyZC0V4hCCAAA6qK+EbXNnxl1nEsvla4WohACAIAa6eZAfdGSGXiUr5TqFCkKIQAAqJdpXnRDY2raOYlm2aMQAgCAeqEI2dCVOZIhbr4rRa8QhRAAANSOqYzsDmSmn+dvFij9YiEKIQAAqKOWltSvHZj+R/gnVcr9IBRCAABQU8Ob0N3rU+MTlHuxEIUQAADU17KOTEaZuOSGEi8WohACAID6ktFkZ3fm52v8iSxlXSxEIQQAALXW0Jja4s8OO8Y/KlPK+6MQAgCAugtypD5wpd4/xnFKOEWKQggAABrgPz6MPkO+vVT3A2dQCAEAQAPQFNniz25PESMf1vHFQhRCAADQDDYGZF8ww1B1/LZsHb8fAACA0rS2rusyiB4hAADoOBRCAADQaSiE2qOgoCAqKkrVKQCks3v3bkGQas860F4ohNrj+vXry5YtU3UKAOlMnz69sLBQ1SlA46EQAgCATkMhBAAAnYZCCAAAOk0D5hHyPF9QUNC2bVtVB1F3JSUlGRkZ+A8FuqO4uDgwMJBhGFUHAfU1bNiwL7/88tXPoURRWRtb1KHY2Fhra2tVp1B3giDk5uba2dmpOgiARLKysuzt7VWdAtSao6Pjaw8SzSiEAAAASoJrhAAAoNNQCAEAQKehEAIAgE5DIdQJp06dGjp0aI8ePT7//PPc3FxVxwFQipSUlFGjRg0dOvTChQuqzgKaBINldEJS14GZKgAAC4ZJREFUUpIoijY2NitWrLh9+/a2bdtUnQigjgmC4O3tvXr1ahsbm7CwsMuXL5uamqo6FGgG9Ah1gqurq5ubm7W1dYcOHcrKylQdB6DuXbx40d7e3s/Pz9XVNSAgAAvQQ+1pwIR6qD2e56uqqp5tYVmWZVlCSERExLJlyzIyMqKjo1WUDkCJ0tPTGzZsKL/t5OT08OFD1eYBDYJCqFUiIiKWL1/+bMuAAQOmTp1KCBk0aFBYWNjGjRu//PLLQ4cOqSgggLLo6elxHCe/XVVVZW5urto8oEFwjVAz8Dx/69atq1evGhsb9+vXr7pdFMU9e/ZcunTJ1dV15MiRMpns1e9TUlLi6uqamZmp5LwAdUYQhKSkpCtXroiiOHz48Gcf+uuvv06dOtWwYcOxY8c+ePBg5MiR58+fJ4QMGTJk3LhxPXv2VFFk0DAohJphyZIlCxcutLS0NDAweHZE3FdffRUVFTVu3Li9e/fWr19/165dCl++evVqQ0NDc3PzzZs3N2jQYOnSpVIFB3hX27dvnzp1av369fPy8tLS0qrbFy1a9Pvvv0+ePDkuLq68vPzYsWOhoaH+/v5WVlYrV648f/68/KIAwGuhEGoGjuNYlt2yZcuyZcuqC2FBQUGDBg0uX77s5uZWVFRUv379S5cuubu7v/jy69evx8XFlZWV+fj4hIaGUhQlbXyAtyc/+GNjYydMmFBdCCsqKpycnPbs2dOlS5eKigpnZ+ddu3a1bdt227Zt5eXlw4YNs7GxUW1s0CD4xaQZFP62PX/+fL169dzc3Agh5ubmHTp0+PvvvxUWQk9PT09PT6WnBFAChQd/YmJiWVlZp06dCCH6+vr+/v7Hjh3r2rXrhAkTJA8IGg/TJzTYo0ePnt1rol69eo8ePVJhHgDJPHr0yMbGhqb/9w2Ggx/eBQqhBmNZVhCE6rs8z+OiCOiIFw/+144UA3gZFEIN5uDgkJGRUX03IyOjfv36KswDIBkHB4ecnJzqWbMZGRkODg6qjQSaC4VQg/n5+ZWXl585c4YQkp6efvny5ZCQEFWHApCCh4eHvb19ZGQkIaSgoODYsWO9e/dWdSjQVDiTphkuXbo0c+bMR48ePXz4MDg42NfXd+7cuYaGht9///2AAQP69u0bGxs7efJkR0dHVScFqGP37t2bOHFiXl7e48ePg4OD3dzcfvvtN5qmf/rpp/Hjx0dFRZ08eTI8PNzLy0vVSUFTYfqEZsjLy7ty5Ur1XRsbm1atWslvX7t27fLly+7u7h07dlRROgAlKikpOXv2bPVdMzOz9u3by2/fuXPn9OnTjRs37tatGyYFwVtDIQQAAJ2Ga4QAAKDTUAgBAECnoRACAIBOQyEEAACdhkIIAAA6DYUQAAB0GgohAADoNBRCgFf5448/mjRp8vTp09o8uXv37i1atGjRosXq1avlLQ8fPoyIiIiIiCgtLa3x5IMHD0ZERFy/fr1uA58+fToiIqKgoODVT9u3b997773Xtm3brVu3vvqZJSUlJ06ciIiIuHr16ouf5e3tHRISsmrVqhdfGBkZ2eL/VS8KCqCORAB4uaVLlxJCSkpKavNkR0fHsLCwAwcOJCUlyVt27dol/4e2adOmZ59548YNefuMGTPqMO2OHTsYhiGEtGvXrrCw8GVPS0pKYhimX79+O3bsuHv37iveMCAgoHqro08//bTGo9nZ2bt37/74448JITExMTUeTU9PP3DgwLhx4wgh5eXlb/1HASgbeoQAdalx48bh4eHNmjV7ttHV1XXTpk3PtmzcuNHV1bVuP3rv3r0jR44cPnz4qVOn0tLSQkJCiouLFT7zypUrPM8vXLhw6NChTZs2fcV7tmvXbsmSJcePH1f4qJ2d3aBBg3777Td9ff0LFy7UeNTR0TE8PNzDw+Pt/hwAyWDRbYA3s3///tzc3GHDhhkbG9fyJaNGjZozZ869e/dcXFwIIRzHbdu2bcqUKbNmzap+zu3btxMSEkaNGnX8+PH4+Hg9Pb2BAwd6e3s/+z65ubkRERF37941NTX19PTs1auXkZGR/KHo6Ojhw4dPmjTp119/pWn6zJkzPXv2DAkJiYmJMTExqZGnsLCQEGJhYfHa5D///DMh5NUnNmmaNjc3f+3JWAC1hR4hQG2JojhjxoyhQ4eamJjUvgoSQvz9/Rs3brxlyxb53cjIyNzc3OHDhz/7nBMnTkycOHHy5MljxoxJTEzcunVrmzZttm3bVv2EI0eONGnS5Ouvv75+/frJkyc//PDDDRs2yB+KjY3t37//3Llzly5dKj+T6eLicuLEifLy8l69er14eVLECsMAz0CPEKBWKioqRo8eHRsbGxsb27Vr1zd6LUVRI0eO3LRp07fffktR1KZNm8LCwuzt7V985qVLl27dumVhYVFRUdGnT5+PP/44NDTUysoqLy9v0KBB7u7uhw4dsrOzI4Q8ffo0Ly9P/qqOHTtmZWWZmZk9+1b29vZnz54tKSnR09Or8SlPnjwhhBgaGr7RX/EKBgYG8vcE0EToEQK8Xn5+fnBw8Llz506fPv2mVVBuzJgxDx48SEhIyMvLi4yMHD16tMKnffPNN/Izlvr6+nPnzi0uLo6KiiKE7Ny5s7CwcPny5fIqSAgxNDRs0KCB/LapqWmNKignk8ksLS1lMtmzjUVFRXv37nV1da3DQujl5RUTE5OZmVlXbwggJfQIAV6vW7duenp6Z86cUdiNqw1nZ+euXbv+8ccfXl5eJiYmvXr1Unh+snXr1tW3vby8aJpOSUkhhNy8eVMmk7Vp0+btPr1ahw4dLl686ODgcPjw4RoPLV++/O7du/LbQUFB4eHhtX/bVatWhYWFNWjQwMHB4d69e/r6+u+YE0BK6BECvF67du1SU1PPnz//Lm8yZsyYiIiItWvXjhgx4mWlgmXZZ28zDFNRUUEI4XmeZdnqmQxvbeHChatWrSovL//pp59qPJSampr4/7Kzs9/obdeuXXv79u1FixZt2rSpRgcUQP2hRwjweuvXr7e3t+/fv/+mTZtGjBjxdm8ycODAKVOmJCYmPjs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", 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label=\"Sharp-K\")\n", - "plot!(p, M, σ_mps_M.(M, TopHatWindow), label=\"TopHat\")\n", - "plot!(p, M, σ_mps_M.(M, GaussianWindow), label=\"Gaussian\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "M = 10 .^range(-10, 20, 100)\n", - "p = plot(xscale=:log10, xlabel=\"M [Msun]\", ylabel=\"Smoothed standard deviation σ(M)\")\n", - "plot!(p, M, dn_dM.(M, SharpKWindow), label=\"Sharp-K\")\n", - "plot!(p, M, dn_dM.(M, TopHatWindow), label=\"TopHat\")\n", - "plot!(p, M, dn_dM.(M, GaussianWindow), label=\"Gaussian\")" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Julia 1.8.5", - "language": "julia", - "name": "julia-1.8" - }, - "language_info": { - "file_extension": ".jl", - "mimetype": "application/julia", - "name": "julia", - "version": "1.8.5" - }, - "orig_nbformat": 4 - }, - "nbformat": 4, - "nbformat_minor": 2 -}