Graphical block debugging - Revision history

Jpye at 01:41, 26 November 2017

2017-11-26T01:41:20Z

← Older revision		Revision as of 01:41, 26 November 2017
Line 1:		Line 1:
	~~{{missingimages}}~~
	{{experimental}}		{{experimental}}

Jpye at 01:41, 26 November 2017

2017-11-26T01:41:05Z

← Older revision		Revision as of 01:41, 26 November 2017
Line 2:		Line 2:
	{{experimental}}		{{experimental}}

	Some progress has been made on this, with the addition of a method in the <tt>system</tt> directory called <tt>system_write_graph</tt>. This method should output the incidence between a filtered set of variables and relations.		Some progress has been made on this, with the addition of a method in the <tt>system</tt> directory called <tt>system_write_graph</tt>. This method should output the incidence between a filtered set of variables and relations. The graph is drawn using [http://www.graphviz.org GraphViz].

	[[Image:Lotka-graph.png\|200px\|thumb\|none\|Graph of the relationship between variables and relations in the {{src\|models/johnpye/lotka.a4c}} example. ~~The graph is drawn using [http://www.graphviz.org GraphViz]~~]]		[[Image:Lotka-graph.png\|200px\|thumb\|none\|Graph of the relationship between variables and relations in the {{src\|models/johnpye/lotka.a4c}} example.]]

	At present this functionality is available from the Python API as shown:		At present this functionality is available from the Python API as shown:

Jpye at 01:40, 26 November 2017

2017-11-26T01:40:20Z

← Older revision		Revision as of 01:40, 26 November 2017
Line 4:		Line 4:
	Some progress has been made on this, with the addition of a method in the <tt>system</tt> directory called <tt>system_write_graph</tt>. This method should output the incidence between a filtered set of variables and relations.		Some progress has been made on this, with the addition of a method in the <tt>system</tt> directory called <tt>system_write_graph</tt>. This method should output the incidence between a filtered set of variables and relations.

	~~<div class="thumb tnone"><div class="thumbinner" style="width:402px;">~~[[Image:Lotka-graph.png~~]] <div class="thumbcaption"><div class="magnify">[[File:Lotka-graph.png~~\|~~<img src="/skins/common/images/magnify-clip.png" width="15" height="11" alt="" />]]</div>~~Graph of the relationship between variables and relations in the {{src\|models/johnpye/lotka.a4c}} example. The graph is drawn using [http://www.graphviz.org GraphViz]~~.</div></div></div>~~		[[Image:Lotka-graph.png\|200px\|thumb\|none\|Graph of the relationship between variables and relations in the {{src\|models/johnpye/lotka.a4c}} example. The graph is drawn using [http://www.graphviz.org GraphViz]]]

	At present this functionality is available from the Python API as shown:		At present this functionality is available from the Python API as shown:

Jpye at 01:37, 26 November 2017

2017-11-26T01:37:22Z

← Older revision		Revision as of 01:37, 26 November 2017
Line 14:		Line 14:
	M.build()		M.build()
	f = file('lotka.png','w')		f = file('lotka.png','w')
	M.write(f,~~"~~dot~~"~~)		M.write(f,"dot")

	f.close()</source>		f.close()</source>

Jpye at 08:18, 29 March 2011

2011-03-29T08:18:27Z

← Older revision		Revision as of 08:18, 29 March 2011
Line 1:		Line 1:
	{{~~missing-images~~}}		{{missingimages}}
	{{experimental}}		{{experimental}}

Jpye at 08:17, 29 March 2011

2011-03-29T08:17:00Z

← Older revision		Revision as of 08:17, 29 March 2011
Line 1:		Line 1:
			{{missing-images}}
	{{experimental}}		{{experimental}}

Jpye at 08:16, 29 March 2011

2011-03-29T08:16:48Z

← Older revision		Revision as of 08:16, 29 March 2011
Line 1:		Line 1:
	~~<div class="pageexperimental">''This page documents an '''~~experimental''' feature. You can help out by '''testing it''' and <span class="plainlinks">[http://ascendwiki.cheme.cmu.edu/index.php?title=Graphical_block_debugging&action=edit recording]</span> your experiences.''</div>		{{experimental}}

	Some progress has been made on this, with the addition of a method in the <tt>system</tt> directory called <tt>system_write_graph</tt>. This method should output the incidence between a filtered set of variables and relations.		Some progress has been made on this, with the addition of a method in the <tt>system</tt> directory called <tt>system_write_graph</tt>. This method should output the incidence between a filtered set of variables and relations.
Line 21:		Line 21:
	Some preliminary work at integrating these graphics into the PyGTK has been made, see [[Incidence Graph]].		Some preliminary work at integrating these graphics into the PyGTK has been made, see [[Incidence Graph]].

			[[Category:Documentation]]


	[[Category:~~Experimental~~]]

UploadBot: Restored page from Google Cache, uploaded by John Pye

2010-05-13T13:25:20Z

Restored page from Google Cache, uploaded by John Pye

New page

<div class="pageexperimental">''This page documents an '''experimental''' feature. You can help out by '''testing it''' and <span class="plainlinks">[http://ascendwiki.cheme.cmu.edu/index.php?title=Graphical_block_debugging&action=edit recording]</span> your experiences.''</div>

Some progress has been made on this, with the addition of a method in the <tt>system</tt> directory called <tt>system_write_graph</tt>. This method should output the incidence between a filtered set of variables and relations.

<div class="thumb tnone"><div class="thumbinner" style="width:402px;">[[Image:Lotka-graph.png]] <div class="thumbcaption"><div class="magnify">[[File:Lotka-graph.png|<img src="/skins/common/images/magnify-clip.png" width="15" height="11" alt="" />]]</div>Graph of the relationship between variables and relations in the {{src|models/johnpye/lotka.a4c}} example. The graph is drawn using [http://www.graphviz.org GraphViz].</div></div></div>

At present this functionality is available from the Python API as shown:

<source lang="a4c">L=ascpy.Library()
L.load('johnpye/lotka.a4c')
M = self.L.findType('lotka').getSimulation('sim')

M.build()
f = file('lotka.png','w')
M.write(f,"dot")

f.close()</source>

The file <tt>lotka.png</tt> can then be viewed in your preferred graphics viewer.

Some preliminary work at integrating these graphics into the PyGTK has been made, see [[Incidence Graph]].

[[Category:Experimental]]