From 47b1ff9e044d74afbe37230e4ef93fb1c22632ae Mon Sep 17 00:00:00 2001
From: Astrid Muennich <amunnich@max-exfl001.desy.de>
Date: Fri, 10 Aug 2018 10:32:31 +0200
Subject: [PATCH] small change to ncores and local instruction for cluster

---
 notebooks/Tutorial/calversion.ipynb | 12 ++++++++----
 xfel_calibrate/notebooks.py         |  2 +-
 2 files changed, 9 insertions(+), 5 deletions(-)

diff --git a/notebooks/Tutorial/calversion.ipynb b/notebooks/Tutorial/calversion.ipynb
index 3455a3c71..78c52d632 100644
--- a/notebooks/Tutorial/calversion.ipynb
+++ b/notebooks/Tutorial/calversion.ipynb
@@ -67,7 +67,9 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "# if not using slurm: make sure a cluster is running with ipcluster start --n=2, give it a while to start\n",
+    "# if not using slurm: make sure a cluster is running with \n",
+    "# ipcluster start --n=4 --profule=tutorial\n",
+    "# give it a while to start\n",
     "from ipyparallel import Client\n",
     "\n",
     "print(\"Connecting to profile {}\".format(cluster_profile))\n",
@@ -214,16 +216,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 47,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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3s3dJ+hnwZsIIkGWEB/ULhIehwiqCKFJtAD8CPi7pzwkuhN8R3lQgCLSS/wob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\nQmCC\n",
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nR+CuVPguI6tK3pTNNsufB/xfZeP9IulJkraZZXlrwwXwaJqt12LjrHjL1Fnj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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7ff664135eb8>"
+       "<matplotlib.figure.Figure at 0x7ff664af39b0>"
       ]
      },
      "metadata": {},
@@ -254,6 +256,8 @@
     "plt.xlabel('std parallel')\n",
     "plt.ylabel('counts')\n",
     "plt.title('Parallel Std value')\n",
+    "\n",
+    "plt.subplots_adjust(top=0.99, bottom=0.01, left=0.01, right=0.99, hspace=0.7, wspace=0.35)\n",
     "plt.show()"
    ]
   },
diff --git a/xfel_calibrate/notebooks.py b/xfel_calibrate/notebooks.py
index a796a1196..6374f3984 100644
--- a/xfel_calibrate/notebooks.py
+++ b/xfel_calibrate/notebooks.py
@@ -80,7 +80,7 @@ notebooks = {
                                "notebook": "notebooks/Tutorial/calversion.ipynb",
                                "concurrency": {"parameter": None,
                                                "default concurrency": None,
-                                               "cluster cores": 1},
+                                               "cluster cores": 4},
                                },
                       }		
              
-- 
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