Scitools Understand For Linux Download

Posted By admin On 04.12.20
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Download Understand. Get your code thoroughly analyzed for any errors with this powerful application with support for various programming languages and multiple editing tools. Jan 27, 2015  A better solution is to copy the system scitools.cfg file to.scitools.cfg in your home folder and edit that file. You can also change the GUI used by Matplotlib. Users who do not apply Matplotlib for plotting will seldom need to edit the configuration file. SciTools is licensed under the new BSD license, see the LICENSE file. We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it.

##PurposeThe linux kernel and u-boot contains lots of files, when we want to broswe the source code, we just want to see the compiled files, and the header files which required.This script will make a filelist to tell us the source files compiled and the header files required.

Also, the script would genenate a filelist for the source code broswer IDE/Editor(for now, support Source Insight, Scitools Understand and SlickEdit)

If you use the source insight or Scitools Understand, or SlickEdit to broswe the linux kernel or/and U-boot source code, this script would help you to add the compiled source code(.S,.C) when you improt needed source code and header files when create Project.

##Usage####Demo shows in GIF######GIF Shows How to generateBelow is a GIF, shows how to generate the filelist and slickedit workspace/project, the parameters of command:

  • Parameter1, directory of compiled source code, here is kernel: ~/github/BBB/Sebastian-BBB-Hibernation-2
  • Parameter2, Output directory and slickedit workspace(and project) name

######Usage of the generation for Source InsightBelow Gif shows the procedure of generation and import

######Usage of the generation for SlickEdit

######Usage of the generation for Scitools Understand

###Text word illustration####0. Compilecompile the kernel or u-boot source code####1. Clone

####2. Generate

This would create the filelist for Understand and Source Insight and the Slickedit Project in Outputprojectfilename. THen you can use these output file to genenate the project.####Demo shows in VideoYou may want to see the video PF_Prj_Gen_example.mkv in directory usge of repo.In the video, I show the generation and the usage of the Generation file/project for Understand and SlickEdit.

Also a video(SourceInsight_Example.mkv in usage directory) shows the generation of filelist for the Source Insight.

##ToDo

  • Add Source Navigator Support
  • Add the dts/dtsi to filelist for kernel/uboot

SciTools is a Python package containing many useful tools for scientificcomputing in Python. The package is built on top of other widely usedpackages such as NumPy, SciPy, ScientificPython, Matlotlib, Gnuplot,VisIt, etc.

Scitools Understand For Linux Download

SciTools only strict requirements are Python v2.7 (http://python.org)and Numerical Python (http://numpy.org). Some functionality requiresSciPy (http://scipy.org/). Plotting requires a plotting package, e.g.,Matplotlib, Gnuplot, VisIt, or similar.

There are several different ways of installing SciTools.

Anaconda.If you have Anaconda, SciTools is available as a conda package:

conda install --channel johannr scitools

Normal install ([, .. ] means optional).First check out the scitools package from GitHub:https://github.com/hplgit/scitools. Then go to the scitoolsdirectory and run

This install makes SciTools use Matplotlib as plotting engine, if aa working Matplotlib is found. Otherwise Gnuplot is used (which requiresboth the Gnuplot program in C and the Python interface Gnuplot.py tobe installed). If neither Matplotlib nor Gnuplot is found, Matplotlibis still used as default plotting engine. (The rest of SciTools willwork well, of course.)

Installing Matplotlib is easy on most platforms: just download thetarball, pack it out, and run python setup.py install.

You can explicitly specify the desired plotting engine on the command line,using the --easyviz_backend option:

The default plotting engine is specified in the file scitools.cfg in thescitools package directory, and the --easyviz_backend option leads toan automatic edit of the 'backend' line in the [easyviz] section ofthat configuration file.

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Don't edit the scitools.cfg file manually before installation (usethe --easyviz_backend option) because setup.py will override youredits of the easyviz backend. However, all other edits of theconfiguration file can be edited. For example, the Matplotlib GUIis set to TkAgg (i.e., using Tkinter, which is standard in mostPython installations). The GUI can be set to other values, such asQt4Agg (provided you have Qt4 and a Python interface to it).

After SciTools is installed, you may edit the installed version ofscitools.cfg, or (better) have your own .scitools.cfg file in yourhome directory.

Setuptools using eggs.First build the egg with the following command

The --easyviz_backend option can be used, as described above, tochange the default plotting engine.

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Then install the created egg using easy_install

(Version numbers of SciTools and Python in this filename may vary.)

Debian/Ubuntu packages.If you have Debian, or a Debian based platform like Ubuntu, you can do

as SciTools is now a part of Debian.NOTE: The Debian packages are often old - it is better to relyon checking out the repo and running setup.py.

The behavior of many parts of SciTools and in particular thesubpackage Easyviz (for plotting) can be controlled in a configurationfile. Please read the subsection 'Setting Parameters in theConfiguration File' under the section 'Advanced Easyviz Topics' in theEasyviz tutorial (pydoc scitools.easyviz will show the tutorial). Inparticular, if you use Matplotlib as the default plotting engine, youmay want to turn on the use of LaTeX for rendering legends, titles,and numbers. By default, LaTeX is turned off when SciTools isinstalled. It is easy to change this by locating the scitools.cfg filein the folder where the SciTools package is installed and edit theline with text.usetex in the [matplotlib] section of this file. Abetter solution is to copy the system scitools.cfg file to.scitools.cfg in your home folder and edit that file. You can alsochange the GUI used by Matplotlib. Users who do not apply Matplotlibfor plotting will seldom need to edit the configuration file.

SciTools is licensed under the new BSD license, see the LICENSE file.

Lumpy.py and Gui.py are licensed under GPL, however, permission isgranted by Allen Downey to include these under a BSD license.

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SciTools was initially mainly developed by Hans Petter Langtangenhpl@simula.no for his book 'Python Scripting for ComputationalScience' (Springer, 1st edition 2003, 3rd edition 2009).The Easyviz package was mainly developed by Johannes H. Ringjohannr@simula.no. Johannes H. Ring has been the principalmaintainer of SciTools. The package was extended for thebook 'A Primer on Scientific Programming with Python', bu H. P. Langtangen,4th edition, Springer, 2014.

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Some modules included in SciTools are written by others:

  • Allen B. Downey downey@allendowney.com wrote Lumpy.py and Gui.py
  • Imri Goldberg lorgandon@gmail.com wrote aplotter.py
  • Fred L. Drake, Jr. fdrake@acm.org wrote pprint2.py
  • Gael Varoquaux gael.varoquaux@normalesup.org wrote pyreport

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Code contributors include:

  • Rolv E. Bredesen rolveb@simula.no
  • Joachim B. Haga jobh@simula.no
  • Mario Pernici Mario.Pernici@mi.infn.it
  • Ilmar Wilbers ilmarw@simula.no
  • Arve Knudsen arvenk@simula.no