removed temp cython files

benchmarks/.ipynb_checkpoints/cython_least_squares-checkpoint.ipynb

@@ -1,7 +1,7 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:a091baac3cb82ac71775c03f73be1925fefe2d659bb7359de4bb88887fbe7d24"
+  "signature": "sha256:379319350ffd7e7539cf8f11b3a7c15b6f1d1013bcb445b55714c76bf0855fa2"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -714,7 +714,30 @@
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 15
+     "prompt_number": 2
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "%%cython\n",
+      "import numpy as np\n",
+      "import scipy.stats\n",
+      "cimport numpy as np\n",
+      "\n",
+      "def cy_lin_lstsqr_mat2(x, y):\n",
+      "    \"\"\" Computes the least-squares solution to a linear matrix equation. \"\"\"\n",
+      "    cdef double x_avg = sum(x)/len(x)\n",
+      "    cdef double y_avg = sum(y)/len(y)\n",
+      "    cdef double var_x = sum([(x_i - x_avg)**2 for x_i in x])\n",
+      "    cdef double cov_xy = sum([(x_i - x_avg)*(y_i - y_avg) for x_i,y_i in zip(x,y)])\n",
+      "    cdef double slope = cov_xy / var_x\n",
+      "    cdef double y_interc = y_avg - slope*x_avg\n",
+      "    return (slope, y_interc)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
     },
     {
      "cell_type": "code",
@@ -740,6 +763,16 @@
       "    y_interc = y_avg - slope*x_avg\n",
       "    return (slope, y_interc)\n",
       "\n",
+      "def cy_lin_lstsqr_mat2(x, y):\n",
+      "    \"\"\" Computes the least-squares solution to a linear matrix equation. \"\"\"\n",
+      "    cdef double x_avg = sum(x)/len(x)\n",
+      "    cdef double y_avg = sum(y)/len(y)\n",
+      "    cdef double var_x = sum([(x_i - x_avg)**2 for x_i in x])\n",
+      "    cdef double cov_xy = sum([(x_i - x_avg)*(y_i - y_avg) for x_i,y_i in zip(x,y)])\n",
+      "    cdef double slope = cov_xy / var_x\n",
+      "    cdef double y_interc = y_avg - slope*x_avg\n",
+      "    return (slope, y_interc)\n",
+      "\n",
       "def cy_numpy_lstsqr(x, y):\n",
       "    \"\"\" Computes the least-squares solution to a linear matrix equation. \"\"\"\n",
       "    X = np.vstack([x, np.ones(len(x))]).T\n",
@@ -752,7 +785,27 @@
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 16
+     "prompt_number": 3
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "import timeit\n",
+      "\n",
+      "for lab,appr in zip([\"matrix approach\",\"classic approach\",\n",
+      "                     \"numpy function\",\"scipy function\"],\n",
+      "                    [(lin_lstsqr_mat, cy_lin_lstsqr_mat), \n",
+      "                     (classic_lstsqr, cy_classic_lstsqr),\n",
+      "                     (cy_lin_lstsqr_mat2, cy_lin_lstsqr_mat2),\n",
+      "                     (scipy_lstsqr, cy_scipy_lstsqr)]):\n",
+      "    print(\"\\n\\n{}: \".format(lab))\n",
+      "    %timeit appr[0](x, y)\n",
+      "    %timeit appr[1](x, y)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
     },
     {
      "cell_type": "markdown",

benchmarks/ccy_classic_lstsqr.pyx

@@ -1,10 +0,0 @@
-
-def ccy_classic_lstsqr(x, y):
-    """ Computes the least-squares solution to a linear matrix equation. """
-    x_avg = sum(x)/len(x)
-    y_avg = sum(y)/len(y)
-    var_x = sum([(x_i - x_avg)**2 for x_i in x])
-    cov_xy = sum([(x_i - x_avg)*(y_i - y_avg) for x_i,y_i in zip(x,y)])
-    slope = cov_xy / var_x
-    y_interc = y_avg - slope*x_avg
-    return (slope, y_interc)

benchmarks/cython_least_squares.ipynb

@@ -1359,4 +1359,4 @@
    "metadata": {}
   }
  ]
-}
+}

benchmarks/setup.py

@@ -1,9 +0,0 @@
-
-from distutils.core import setup
-from distutils.extension import Extension
-from Cython.Distutils import build_ext
-
-setup(
-    cmdclass = {'build_ext': build_ext},
-    ext_modules = [Extension("ccy_classic_lstsqr", ["ccy_classic_lstsqr.pyx"])]
-)