Source code for chaste.visualization.fortests

#!/usr/bin/env python
"""Helper classes for running tests
"""

__copyright__ = """Copyright (c) 2005-2016, University of Oxford.
All rights reserved.

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University of Oxford, having an administrative office at Wellington
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This file is part of Chaste.

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modification, are permitted provided that the following conditions are met:
 * Redistributions of source code must retain the above copyright notice,
   this list of conditions and the following disclaimer.
 * Redistributions in binary form must reproduce the above copyright notice,
   this list of conditions and the following disclaimer in the documentation
   and/or other materials provided with the distribution.
 * Neither the name of the University of Oxford nor the names of its
   contributors may be used to endorse or promote products derived from this
   software without specific prior written permission.

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"""

PYCHASTE_CAN_IMPORT_IPYTHON = True
PYCHASTE_CAN_IMPORT_VTK = True

from six.moves import StringIO
import os.path
from pkg_resources import resource_filename
import chaste.cell_based

try:
    import IPython                    
except ImportError:
    PYCHASTE_CAN_IMPORT_IPYTHON = False  
    
try:
    import vtk                    
except ImportError:
    PYCHASTE_CAN_IMPORT_VTK = False      
    
if PYCHASTE_CAN_IMPORT_IPYTHON:
    #from IPython import display
    from IPython.display import Image, HTML, display
    
    
[docs] def vtk_show_basic(scene, width=800, height=600): """ Takes a Scene instance and returns an IPython Image with the rendering. """ data = str(buffer(scene.GetSceneAsCharBuffer())) return Image(data)
if PYCHASTE_CAN_IMPORT_VTK:
[docs] class JupyterNotebookManager(): interactive_plotting_loaded = False three_js_dir = resource_filename('chaste', os.path.join('external')) container_id = 0 def __init__(self): pass
[docs] def interactive_plot_init(self): if not JupyterNotebookManager.interactive_plotting_loaded: library_javascript = StringIO() library_javascript.write(""" <script type="text/javascript"> var pychaste_javascript_injected = true; """) three_js_libraries = ("three.min.js", "OrbitControls.js", "VRMLLoader.js", "Detector.js") # Include three.js for library in three_js_libraries: with open(os.path.join(JupyterNotebookManager.three_js_dir, library)) as infile: library_javascript.write(infile.read()) # Include internal plotting functions with open(os.path.join(JupyterNotebookManager.three_js_dir, "plotting_script.js")) as infile: library_javascript.write(infile.read()) JupyterNotebookManager.interactive_plotting_loaded = True display(HTML(library_javascript.getvalue()))
[docs] def interactive_plot_show(self, width, height, file_name = "temp_scene.wrl", increment = True): self.interactive_plot_init() if increment: JupyterNotebookManager.container_id +=1 html_source = """ <div id="pychaste_plotting_container_{container_id}" style="width:{width}px; height:{height}px"> <script type="text/javascript"> (function(){{ var three_container = document.getElementById("pychaste_plotting_container_{container_id}"); pychaste_plot(three_container, {file}, {width}, {height}); }})(); </script> """.format(width=str(width), height=str(height), container_id=str(JupyterNotebookManager.container_id), file='"files/' + file_name + '"') display(HTML(html_source))
[docs] def vtk_show(self, scene, width=400, height=300, output_format = "png", increment = True): """ Takes vtkRenderer instance and returns an IPython Image with the rendering. """ scene.ResetRenderer(0) renderWindow = vtk.vtkRenderWindow() renderWindow.SetOffScreenRendering(1) renderWindow.AddRenderer(scene.GetRenderer()) renderWindow.SetSize(width, height) renderWindow.Render() if output_format == "wrl": exporter = vtk.vtkVRMLExporter() exporter.SetInput(renderWindow) exporter.SetFileName(os.getcwd() + "/temp_scene.wrl") exporter.Write() self.interactive_plot_show(width, height, "temp_scene.wrl", increment) else: windowToImageFilter = vtk.vtkWindowToImageFilter() windowToImageFilter.SetInput(renderWindow) windowToImageFilter.Update() writer = vtk.vtkPNGWriter() writer.SetWriteToMemory(1) writer.SetInputConnection(windowToImageFilter.GetOutputPort()) writer.Write() data = str(buffer(writer.GetResult())) return Image(data)
[docs] class JupyterSceneModifier2(chaste.cell_based.VtkSceneModifier2): """ Class for real time plotting of output """ def __init__(self, plotting_manager): self.output_format = 'png' self.plotting_manager = plotting_manager super(JupyterSceneModifier2, self).__init__()
[docs] def UpdateAtEndOfTimeStep(self, cell_population): """ Update the Jupyter notebook plot with the new scene """ super(JupyterSceneModifier2, self).UpdateAtEndOfTimeStep(cell_population) IPython.display.clear_output(wait=True) if self.output_format == 'png': IPython.display.display(self.plotting_manager.vtk_show(self.GetVtkScene(), output_format=self.output_format)) else: self.plotting_manager.vtk_show(self.GetVtkScene(), output_format=self.output_format)
[docs] class JupyterSceneModifier3(chaste.cell_based.VtkSceneModifier3): """ Class for real time plotting of output """ def __init__(self): super(JupyterSceneModifier3, self).__init__()
[docs] def UpdateAtEndOfTimeStep(self, cell_population): """ Update the Jupyter notebook plot with the new scene """ super(JupyterSceneModifier3, self).UpdateAtEndOfTimeStep(cell_population) IPython.display.clear_output(wait=True) IPython.display.display(self.plotting_manager.vtk_show(self.GetVtkScene()))