example_usage.ipynb

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   "source": [
    "import mm_numba as mm\n",
    "import mm_numba_s_pol as mms\n",
    "import numpy as np"
   ]
  },
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   "source": [
    "n_layers = 101\n",
    "n = np.array([1] + [1-1e-5+1e-6j, 1-2e-5+2e-6j]*int((n_layers-1)/2))\n",
    "thick = np.array([.1]*(n_layers-2))\n",
    "rough = np.array([.02]*(n_layers-1))\n",
    "wl = 0.15\n",
    "ang_deg = np.linspace(0.1, 2., 1001)\n",
    "ang = np.deg2rad(ang_deg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
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   "outputs": [
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     "text": [
      "13 ms ± 176 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
     ]
    }
   ],
   "source": [
    "%timeit r, t = mm.reflec_and_trans(n, wl, ang, thick, rough)"
   ]
  },
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   "execution_count": 8,
   "metadata": {
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     "text": [
      "13.1 ms ± 160 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
     ]
    }
   ],
   "source": [
    "%timeit r, t = mm.reflec_and_trans(n, wl, ang, thick, rough, pol=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "12.7 ms ± 161 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
     ]
    }
   ],
   "source": [
    "%timeit r, t = mms.reflec_and_trans(n, wl, ang, thick, rough)"
   ]
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   "source": [
    "12.4/11.7"
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     "end_time": "2019-12-19T19:22:35.079438Z",
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     "execution_count": 16,
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   "source": [
    "1.22/1.17"
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   "cell_type": "code",
   "execution_count": 15,
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     "text": [
      "16.8 ms ± 5.53 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
     ]
    }
   ],
   "source": [
    "%timeit r, t = mm.fields(n, wl, ang, thick, rough)"
   ]
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