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docs/Pythonic-DISORT.ipynb

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@@ -4329,7 +4329,8 @@
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"source": [
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"# Turn everything on\n",
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"flux_up_1layer, flux_down_1layer, u0, u_1layer = PythonicDISORT.pydisort(\n",
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" tau_arr[-1], omega_arr[0],\n",
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" tau_arr[-1], 0.8, # Single-scattering albedo reduced to 0.8 \n",
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" # so that blackbody emission is significant\n",
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" NQuad,\n",
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" Leg_coeffs_all[0, :],\n",
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" mu0, 1, phi0,\n",
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" NT_cor=True,\n",
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")[1:]\n",
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"\n",
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"flux_up_16layers, flux_down_16layers, u0, u_16layers = PythonicDISORT.pydisort(\n",
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" tau_arr, omega_arr,\n",
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"flux_up_16layers, flfullux_down_16layers, u0, u_16layers = PythonicDISORT.pydisort(\n",
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" tau_arr, np.full(NLayers, 0.8),\n",
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" NQuad,\n",
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" Leg_coeffs_all,\n",
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" mu0, 1, phi0,\n",

docs/conf.py

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project = 'Pythonic DISORT'
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copyright = '2023, HO Jia Xu Dion'
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author = 'Dion HO Jia Xu'
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release = '1.1'
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release = '1.2'
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# -- General configuration ---------------------------------------------------
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# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration

pydisotest/11_test.py

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@@ -11,7 +11,7 @@ def test_11a():
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######################################### PYDISORT ARGUMENTS #######################################
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tau_arr = np.arange(16) / 2 + 0.5
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NLayers = len(tau_arr)
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omega_arr = np.full(NLayers, 1 - 1e-6)
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omega_arr = np.full(NLayers, 0.8)
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NQuad = 16
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Leg_coeffs_all = np.tile(0.75 ** np.arange(32), (NLayers, 1))
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mu0 = 0.6

pyproject.toml

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@@ -8,7 +8,7 @@ dependencies = [
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"scipy>=1.8.0",
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]
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name = "PythonicDISORT"
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version = "1.1"
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version = "1.2"
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authors = [
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{ name="Dion HO Jia Xu", email="dh3065@columbia.edu" },
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]

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