From cbc00ed16d1183cd9ada309e5abf4be5be6e72d4 Mon Sep 17 00:00:00 2001
From: Felix Patzelt <felix@neuro.uni-bremen.de>
Date: Wed, 18 Oct 2017 18:47:22 +0200
Subject: [PATCH] Re-ran example notebook to clean spurious error message below
 one cell.

---
 ...rr_periodic_vs_aperiodic_vs_unbiased.ipynb | 49 +++++++------------
 1 file changed, 18 insertions(+), 31 deletions(-)

diff --git a/examples/scorr_periodic_vs_aperiodic_vs_unbiased.ipynb b/examples/scorr_periodic_vs_aperiodic_vs_unbiased.ipynb
index 1466cce..0400d1c 100644
--- a/examples/scorr_periodic_vs_aperiodic_vs_unbiased.ipynb
+++ b/examples/scorr_periodic_vs_aperiodic_vs_unbiased.ipynb
@@ -28,22 +28,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "ModuleNotFoundError",
-     "evalue": "No module named 'corr2'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-3-5f737367bdef>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mscorr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcorr2\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m~/Documents/uni/papers/impact_report/demo_code/packaged/testenv3/lib/python3.6/site-packages/scorr/__init__.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mcorr2\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mcorr3\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__reload_submodules__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0;32mimport\u001b[0m \u001b[0mhelpers\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'corr2'"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import scorr"
    ]
@@ -898,8 +885,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 50.9 ms, sys: 15.6 ms, total: 66.6 ms\n",
-      "Wall time: 66.6 ms\n"
+      "CPU times: user 42.8 ms, sys: 14.3 ms, total: 57.1 ms\n",
+      "Wall time: 67.1 ms\n"
      ]
     }
    ],
@@ -919,8 +906,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 5.26 s, sys: 43.8 ms, total: 5.31 s\n",
-      "Wall time: 5.35 s\n"
+      "CPU times: user 4.99 s, sys: 7.09 ms, total: 5 s\n",
+      "Wall time: 5 s\n"
      ]
     }
    ],
@@ -1732,7 +1719,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.text.Text at 0x10b40bc10>"
+       "<matplotlib.text.Text at 0x10f744450>"
       ]
      },
      "execution_count": 7,
@@ -1785,8 +1772,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 71.3 ms, sys: 1.09 ms, total: 72.4 ms\n",
-      "Wall time: 74.6 ms\n"
+      "CPU times: user 53.4 ms, sys: 2.05 ms, total: 55.5 ms\n",
+      "Wall time: 54 ms\n"
      ]
     }
    ],
@@ -1813,8 +1800,8 @@
      "output_type": "stream",
      "text": [
       "1000\n",
-      "CPU times: user 1.32 ms, sys: 981 µs, total: 2.3 ms\n",
-      "Wall time: 1.47 ms\n"
+      "CPU times: user 1.39 ms, sys: 1.09 ms, total: 2.48 ms\n",
+      "Wall time: 1.51 ms\n"
      ]
     }
    ],
@@ -2623,7 +2610,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.text.Text at 0x10db5b390>"
+       "<matplotlib.text.Text at 0x10fc82810>"
       ]
      },
      "execution_count": 11,
@@ -3508,7 +3495,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.text.Text at 0x10dbf2250>"
+       "<matplotlib.text.Text at 0x10fcb0d10>"
       ]
      },
      "execution_count": 15,
@@ -3537,21 +3524,21 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 2",
    "language": "python",
-   "name": "python3"
+   "name": "python2"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 3
+    "version": 2
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "pygments_lexer": "ipython2",
+   "version": "2.7.14"
   }
  },
  "nbformat": 4,