LLC fmin example fails on Windows

llc-windows.ipynb

{
 "cells": [
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   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'nt'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os\n",
    "os.name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.1.1'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import llc\n",
    "llc.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1.13.3'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "np.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'2.0'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import scipy.ndimage as ndi\n",
    "ndi.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "Invalid scipy.LowLevelCallable signature \"long (double *, longlong, double *, void *)\". Expected one of: ['int (double *, intptr_t, double *, void *)', 'int (double *, npy_intp, double *, void *)', 'int (double *, long long, double *, void *)']",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-5-5a5c27ef0041>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      7\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      8\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 9\u001b[1;33m \u001b[0mndi\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgeneric_filter\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrandom\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrandom\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m20\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m30\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfmin\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m3\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\Miniconda3\\lib\\site-packages\\scipy\\ndimage\\filters.py\u001b[0m in \u001b[0;36mgeneric_filter\u001b[1;34m(input, function, size, footprint, output, mode, cval, origin, extra_arguments, extra_keywords)\u001b[0m\n\u001b[0;32m   1484\u001b[0m     \u001b[0mmode\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_ni_support\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_extend_mode_to_code\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmode\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1485\u001b[0m     _nd_image.generic_filter(input, function, footprint, output, mode,\n\u001b[1;32m-> 1486\u001b[1;33m                          cval, origins, extra_arguments, extra_keywords)\n\u001b[0m\u001b[0;32m   1487\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mreturn_value\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mValueError\u001b[0m: Invalid scipy.LowLevelCallable signature \"long (double *, longlong, double *, void *)\". Expected one of: ['int (double *, intptr_t, double *, void *)', 'int (double *, npy_intp, double *, void *)', 'int (double *, long long, double *, void *)']"
     ]
    }
   ],
   "source": [
    "@llc.jit_filter_function\n",
    "def fmin(values):\n",
    "    result = np.inf\n",
    "    for v in values:\n",
    "        if v < result:\n",
    "            result = v\n",
    "    return result\n",
    "\n",
    "ndi.generic_filter(np.random.random((20, 30)), fmin, 3)"
   ]
  }
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