Changeset 456

Timestamp:

09/01/08 23:37:58 (3 months ago)

Author:

apdavison

Message:

This version seems ok for INCF 2008. Refactoring not finished, though

Files:

• doc/poster/trunk/VAbenchmarks_forposter.py (added)
• doc/poster/trunk/incf2008.py (modified) (2 diffs)
• doc/poster/trunk/poster.py (modified) (11 diffs)

doc/poster/trunk/incf2008.py

@@ -12 +12 @@
-                "INCM, CNRS, Marseille, France",
-                "Neurobiology and Biophysics, Albert-Ludwigs-University Freiburg, Germany",
-
+LCN, 
-                "Technische UniversitÀt Graz, Austria"
-                ]
@@ -41 +41 @@
-"""
-
- and PCSIM)
+,  PCSIM, Brian, and the FACETS neuromorphic hardware). Support for MOOSE is under development
-      ("I use simulator <i>X</i>. Why should I switch to PyNN?", "Increased productivity. The main aim of PyNN is to increase the productivity of neuronal network modeling, by making it <b>faster to develop models</b> <i>de novo</i>, by <b>promoting code sharing and reuse</b> across simulator communities, and by making it much <b>easier to debug, test and validate simulations by running them on more than one simulator</b>. Even if you're not interested in using multiple simulators, if you don't already use Python or another dynamic, object-oriented language, and if your simulator doesn't already support programming using abstractions above the level of individual neurons and synaptic connections, you should see major gains from using a more powerful language and from more readable, shorter, more easily-maintainable code."),
-       ("Why Python?", 'Most simulators use configuration files or have their own specific scripting language. These are inevitably less powerful and flexible than a general-purpose programming language such as Python. Furthermore, Python has a huge standard library ("batteries included"), excellent numerical and graphical packages (making it an excellent Matlab replacement), a large developer-base outside the neuroscience community, and is free software.'),
-       ("I have a model written for simulator <i>X</i>. How do I convert it to PyNN?", "If <i>X</i> already has a Python interface (NEURON, NEST, PCSIM), first convert the code to Python (e.g. in NEURON, replace your hoc code with Python code) then gradually replace simulator-specific code with PyNN code, all the time checking that the model still runs and gives the same results. If <i>X</i> does not have a Python interface, contact us! We would be happy to work with you on adding support for <i>X</i> to PyNN, whether this is through a direct Python interface or a code-generation tool."),
-http://neuralensemble.org/PyNN
- There is also some overlap with <b>Neurospaces</b> (http://www.neurospaces.org/), a framework for modular construction of computational neuroscience simulators.
-What are your future plans for PyNN?", "We are currently working on: (i) support for NEST version 2, which adds support for distributed (parallel) simulations (distributed simulations in NEURON and PCSIM are already supported); (ii) support for the VLSI analog spiking network hardware being developed within the FACETS project (iii) support for import/export of network models specified in NeuroML; (iv) various improvements/extensions to the API, (v) general performance improvements
+<b>http://neuralensemble.org/PyNN</b>
+
+How do I run distributed (parallel) simulations?", "If the underlying simulator supports parallelization (true for NEURON, NEST, PCSIM), just launch your simulation with mpirun. Parallelization is transparent to the user, no code changes are necessary
-       ("Why shouldn't I use PyNN?", "(i) If your work does not involve network modelling; (ii) if you prefer to use a graphical interface to develop your simulations."),
- now?", "PyNN was first developed within the FACETS project, an EC-funded consortium of fifteen or so European research groups including seven groups doing computational neuroscience, using six simulators between them. In the absence of agreement that everyone should use the same simulator, a tool to make it easier to share models between groups was needed, and PyNN was born. Within FACETS, PyNN is being used for simulations of large-scale models of primary visual cortex and of generic cortical circuits with synaptic plasticity. We would like to encourage wider use, and a
+?", "PyNN was first developed within the FACETS project, an EC-funded consortium of fifteen or so European research groups including seven groups doing computational neuroscience, using six simulators between them. In the absence of agreement that everyone should use the same simulator, a tool to make it easier to share models between groups was needed, and PyNN was born. Within FACETS, PyNN is being used for simulations of large-scale models of primary visual cortex and of generic cortical circuits with synaptic plasticity. A number of people outside FACETS are now using PyNN as well. A
-     ]
-

doc/poster/trunk/poster.py

@@ -19 +19 @@
-import StringIO
-
+FILL_TO_BOTTOM = -1
+
-class Author(object):
-    
@@ -64 +66 @@
-
-    return styles
-
-
-
-
-
-def make_text_frame(styles, text, x, y, width, height, _debug):
@@ -206 +204 @@
-    return output
-
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-
-def make_fancy_box(x,y,w1,w2,h1,h2):
@@ -374 +345 @@
-        poster.drawInlineImage(logo, x, y, height=logo_height, width=logo_width)
-    
+    def scale_font_to_height(self, paragraph_list, styles, height, width, pad=0.5*cm):
+        def calc_height():
+            p_list = [Paragraph(p, styles['BodyText']) for p in paragraph_list]
+            f_height = 2*pad
+            for p in p_list:
+                f_height += p.wrap(width-2*pad, self.pageheight)[1] + p.getSpaceAfter() + p.getSpaceBefore()
+            return f_height
+        i = 0
+        max_iter = 500
+        while calc_height() > height:
+            if i > max_iter:
+                print "Warning: height failed to converge after %s iterations (final value %s)" % (max_iter, calc_height())
+                break
+            scale_style(styles['BodyText'], 0.99)
+            i += 1
+        #scale_style(styles['BodyText'], 1/0.99)
+        styles['BodyText'].alignment = TA_JUSTIFY # otherwise we get a 'bad align' error
+
+        return [Paragraph(p, styles['BodyText']) for p in paragraph_list]
+    
-    def add_frame(self, column_number, styles, content, height, _debug=False):
-        pad = 0.5*cm
@@ -380 +371 @@
-        y = column.bottom
-        width = column.width
+        if height == FILL_TO_BOTTOM:
+            height = self.colheight - (self.title_bottom - column.bottom)
+        
-        frame = Frame(x, y - height, width, height,
-                      leftPadding=pad, rightPadding=pad, bottomPadding=pad,
-                      topPadding=pad, showBoundary=_debug)
-        
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-        frame.addFromList(paragraph_list, self)
-        column.bottom -= height
-    
+
-    def make_footer(self, text, fontsize=24, color=colors.white):
-        self.setFillColor(color) # white works better with a background image
@@ -408 +394 @@
-                               0.2*self.margins['bottom'], text)
-    
- #,x_r,y,width,height,_debug=False):
+
-        """ Make a frame showing the VAbenchmarks.py script, together with figure."""
-        pad = 0.5*cm
@@ -419 +405 @@
-        styles['Code'].leftIndent = 0
-        checkout_pyNN()
-
+
+
-        example_script = f.read()
-        f.close()
@@ -453 +440 @@
-                maxlength = len(line)
-        f_width2 = stringWidth("m"*maxlength, styles['Code'].fontName, styles['Code'].fontSize, 'UTF-8') + pad
+        f_width2 = max(f_width2, self.colwidth - f_width1)
-        f_height += 2*pad
-    
@@ -469 +457 @@
-                              topPadding=pad)
-        frame2.addFromList(flowables, self)
-
-
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-
+
-        return x, y-f_height, f_width1+f_width2,f_height
-    
-column_number, filename, caption=''
+start_column, filename, height, ncol=1, caption='', caption_styles=None
-        pad = 0.5*cm
-column_number
+start_column
-        x = column.left
-        y = column.bottom
-        width = self.colwidth
+        if ncol > 1:
+            width = ncol*self.colwidth + (ncol-1)*self.colsep
+        if height == FILL_TO_BOTTOM:
+            height = self.colheight - (self.title_bottom - column.bottom)
+            
-        img = PIL.Image.open(filename)
-
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-                             showBoundary=_debug,
-                             leftPadding=pad, rightPadding=pad,
-                             bottomPadding=pad, topPadding=pad)
+        
+        if caption:
+            caption_height = height - (img.drawHeight + 2*pad)
+            paragraph_list = [p.strip() for p in caption.split("\n") if p.strip()]
+            paragraph_list = self.scale_font_to_height(paragraph_list, caption_styles, caption_height, width, pad)
+            caption_frame = Frame(x, y-img_height-caption_height, width, caption_height,
+                                  leftPadding=pad, rightPadding=pad, bottomPadding=pad,
+                                  topPadding=pad, showBoundary=_debug)
+        else:
+            caption_height = 0
+        
+        f_height = img_height + caption_height    
-        poster.roundRect(x, y-f_height, width, f_height, 1*cm, fill=1)
-        column.bottom -= height
-        figure_frame.add(img, self)
+        if caption:
+            caption_frame.addFromList(paragraph_list, self)
+        
+        for col_num in range(start_column, start_column+ncol):
+            self.columns[col_num].bottom -= (f_height + self.colsep)
+        
+        
-    
-# ==============================================================================
@@ -512 +518 @@
-    #huge_url(poster._pagesize[0]/2.0, title_bottom/2.0, pagewidth)
-    
-#    print "--- Making API docs ---"
-#    apiwidth = 0.25*poster.pagewidth
-#    x_api,y_api,w_api,h_api = make_apidocs(getStyleSheet(9,36),poster.margins['left']+poster.pagewidth-apiwidth, poster.title_bottom, apiwidth,
@@ -518 +523 @@
-    
-    #make_users_guide(getStyleSheet(15),margins['left']+colwidth+colsep, title_bottom, colwidth, colheight, DEBUG)
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-    
-#    make_fancy_box(x_ex, margins['bottom'],w_ex+colsep+w_api,w_ex,y_ex-colsep-margins['bottom'],y_api-colsep-margins['bottom'])
-
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-
-    poster.make_footer(ACKNOWLEDGEMENTS)