ISMIR and DAFx Tutorials 2012

h1. Ismir2012: Software Session Plan

h2. Length and plan

* 90 min (75 + 15m interval)

h2. Software Requirements

* Python
* Numpy
* Matplotlib
* Nose and Nosetests
* ipython (desirable, not mandatory)

h2. Repository

https://code.soundsoftware.ac.uk/hg/python-tutorial-skeleton

h2. Script

* Clone/Check if repository was successfully cloned
* Explore folder and files
* Launch python shell (ipyhon)
* import audiofile.py and plot samples
* Explain what the test files are and introduction to nose
* Create estimate_tempo.py (main programme)
<pre>
import tempo_estimator as est
import sys

filename = sys.argv[1]

tempo = est.estimate_tempo_of_file(filename)
</pre>
* Easy Mercurial:
** ignore pyc and py~
** commit estimate_tempo.py
** commit .hgignore
* Create estimate_tempo.py
* Create test file test_estimate_tempo.py
<pre>
import estimate_tempo as est

def test_tempo_120bpm():
tempo = est.estimate_tempo_of_file("test files/120bpm.wav")

# we consider the test to be passed if error is less than 1/4 of bpm
error = abs(tempo - 120) < 0.25
assert

</pre>
* Commit both files
* Start writing the code of tempo_estimator.py
<pre>
</pre>
* Slide: how to detect tempo?
* Create detection_function.py and test_detection_function.py
<pre></pre>
* Commit