From 97ec3de6f3043ed796db6d05607c324c604864e1 Mon Sep 17 00:00:00 2001
From: Sebastien Bourdeauducq <sb@m-labs.hk>
Date: Fri, 3 Jun 2016 23:10:00 -0400
Subject: [PATCH] doc/getting_started_mgmt: adapt to changes. Closes #462

---
 doc/manual/getting_started_mgmt.rst | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/doc/manual/getting_started_mgmt.rst b/doc/manual/getting_started_mgmt.rst
index dd2251b69..9f7b06d36 100644
--- a/doc/manual/getting_started_mgmt.rst
+++ b/doc/manual/getting_started_mgmt.rst
@@ -53,10 +53,10 @@ Experiments may have arguments whose values can be set in the GUI and used in th
 
 
     def build(self):
-        self.setattr_argument("count", NumberValue(ndecimals=0))
+        self.setattr_argument("count", NumberValue(ndecimals=0, step=1))
 
     def run(self):
-        for i in range(int(self.count)):
+        for i in range(self.count):
             print("Hello World", i)
 
 
@@ -144,15 +144,15 @@ Datasets
 Modify the ``run()`` method of the experiment as follows: ::
 
     def run(self):
-        parabola = self.set_dataset("parabola", [], broadcast=True)
-        for i in range(int(self.count)):
-            parabola.append(i*i)
+        self.set_dataset("parabola", np.full(self.count, np.nan), broadcast=True)
+        for i in range(self.count):
+            self.mutate_dataset("parabola", i, i*i)
             time.sleep(0.5)
 
-.. note:: You need to import the ``time`` module.
+.. note:: You need to import the ``time`` module, and the ``numpy`` module as ``np``.
 
-Commit, push and submit the experiment as before. While it is running, go to the "Datasets" dock of the GUI and create a new XY plot showing the new result. Observe how the points are added one by one to the plot.
+Commit, push and submit the experiment as before. While it is running, go to the "Datasets" dock of the GUI and create a new XY plot showing the new result (you need to edit the applet command line so that it retrieves the ``parabola`` dataset). Observe how the points are added one by one to the plot.
 
-After the experiment has finished executing, the results are written to a HDF5 file that resides in ``~/artiq-master/results/<date>/<time>``. Open that file with HDFView or h5dump, and observe the data we just generated as well as the Git commit ID of the experiment (a hexadecimal hash such as ``947acb1f90ae1b8862efb489a9cc29f7d4e0c645`` that represents the data at a particular time in the Git repository). The list of Git commit IDs can be found using the ``git log`` command in ``~/artiq-work``.
+After the experiment has finished executing, the results are written to a HDF5 file that resides in ``~/artiq-master/results/<date>/<hour>``. Open that file with HDFView or h5dump, and observe the data we just generated as well as the Git commit ID of the experiment (a hexadecimal hash such as ``947acb1f90ae1b8862efb489a9cc29f7d4e0c645`` that represents the data at a particular time in the Git repository). The list of Git commit IDs can be found using the ``git log`` command in ``~/artiq-work``.
 
 .. note:: HDFView and h5dump are third-party tools not supplied with ARTIQ.