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SciPy

What is SciPy?

SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more. It is also the name of a very popular conference on scientific programming with Python.

The SciPy library depends on NumPy, which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers. If you need to manipulate numbers on a computer and display or publish the results, give SciPy a try!

Installation

For installation instructions, see INSTALL.rst.txt.

Documentation

Scipy documentation is available on the web:

https://docs.scipy.org

How to generate the HTML documentation, see doc/README.txt.

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https://www.scipy.org/

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http://projects.scipy.org/mailman/listinfo/scipy-dev

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The latest development version of Scipy's sources are always available at:

https://github.com/scipy/scipy

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To search for bugs or report them, please use the Scipy Bug Tracker at:

https://github.com/scipy/scipy/issues

Developer information

If you would like to take part in SciPy development, take a look at the file CONTRIBUTING.

License information

See the file LICENSE.txt for information on the history of this software, terms & conditions for usage, and a DISCLAIMER OF ALL WARRANTIES.

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hausdorff_scipy's Issues

Docstring for Directed Hausdorff Distance

The docstring for directed_hausdorff in scipy/spatial/hausdorff.pyx should be brought up to numpy docstring standards, probably to a format similar to those for distance measures in the distance.py spatial module.

We'll want to have some nice working examples, including one for the (more common) symmetric Hausdorff distance (which involves both forward and reverse directed Hausdorff calculations).

Import Issues with Cython Module

At the moment attempting to run nosetests test_hausdorff.py (at path: scipy/spatial/tests) produces the traceback shown below. This is probably related to my recent switch to Cython from the original python module.

======================================================================
ERROR: Failure: ImportError (No module named hausdorff)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/Users/treddy/anaconda/lib/python2.7/site-packages/nose/loader.py", line 418, in loadTestsFromName
    addr.filename, addr.module)
  File "/Users/treddy/anaconda/lib/python2.7/site-packages/nose/importer.py", line 47, in importFromPath
    return self.importFromDir(dir_path, fqname)
  File "/Users/treddy/anaconda/lib/python2.7/site-packages/nose/importer.py", line 94, in importFromDir
    mod = load_module(part_fqname, fh, filename, desc)
  File "/Users/treddy/github_projects/scipy/scipy/spatial/tests/test_hausdorff.py", line 5, in <module>
    import scipy.spatial.hausdorff
ImportError: No module named hausdorff

Import / Module path

It will almost certainly be more reasonable to propose implementation of scipy.spatial.distance.directed_hausdorff rather than the current scipy.spatial.directed_hausdorff, so we should think about trying to make the import mechanics work that way.

I think this makes sense because there are already things like scipy.spatial.distance.euclidean and so on.

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