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Fixed a minor problem with regards to the Carpet module distinguishing between 2D and 3D data.
Made some changes to the Carpet module. When 3D data is used, a cut will be performed using a plane before deformation occurs on the plane. However, if 2D data is used a cut will NOT be performed and deformation will instead occur immediately. Pyvisi distinguishes 2D from 3D data by retrieving the length of the z-axis. A 2D data will have a z-axis length of zero while a 3D data will have a z-axis length of non-zero. There are exceptions to these rules where some 2D data may have a non-zero z-axis length. However, such exceptions are not taken into account at this stage.
Made some changes to the Carpet module. When 3D data is used, a cut will be performed using a plane before deformation occurs on the plane. However, if 2D data is used a cut will NOT be performed and deformation will instead occur immediately. Pyvisi distinguishes 2D from 3D data by retrieving the length of the z-axis. A 2D data will have a z-axis length of zero while a 3D data will have a z-axis length of non-zero. There are exceptions to these rules where some 2D data may have a non-zero z-axis length. However, such exceptions are not taken into account at this stage.
- Updated the epydocs and guide. Deleted redundant files and methods. Tidied up the codes.
Update the way movies are generated. Please refer to the examples. The user can now either specify the image range(first and last images inclusive): mov.imageRange(input_directory = PYVISI_EXAMPLE_IMAGES_PATH, first_image = IMAGE_NAME + "000938.jpg", last_image = IMAGE_NAME + "000948.jpg") mov.makeMovie(os.path.join(PYVISI_EXAMPLE_IMAGES_PATH, "movie.mpg")) or the user can specify a list of images: lst = ['image1.jpg', 'image5.jpg', 'image7.jpg] mov.imageList(input_directory = PYVISI_EXAMPLE_IMAGES_PATH, image_list = lst) mov.makeMovie(os.path.join(PYVISI_EXAMPLE_IMAGES_PATH, "movie.mpg"))
A Scalar Bar can now be displayed by creating an instance of a 'Legend'. The Scalar Bar can either show the scalar data range or vector data range. Corresponding examples and tests have also been added.
Made some changes to fix the memory leak problem. However, the problem still persists for run_escript_with_lazy_evaluation.py, run_streamline.py and run_streamline_with_lazy_evaluation.py.
Added the updated files for pyvisi and removed some incorrect reference images.
Added back in some files that were accidentally deleted.
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