Metadata-Version: 2.1
Name: mpctools
Version: 0.5.0
Summary: A set of tools and utilities for extending common libraries and providing parallel capabilities.
Home-page: https://github.com/michael-camilleri/mpctools
Author: Michael P. J. Camilleri
Author-email: michael.p.camilleri@ed.ac.uk
License: GNU GPL
Download-URL: https://github.com/michael-camilleri/mpctools/archive/v_0500.tar.gz
Description: # mpctools
        A set of python tools for extending standard (and non-standard) libraries. These originated from
         my own needs and those of my students, and I decided to put them here in case they may be useful
         to other people.
        
        ## Features
        
        The library currently contains the following two packages:
         1. `extensions`: A number of extensions to numpy, sklearn, pandas and matplotlib, as well as general-purpose utilities.
         2. `parallel`: A set of tools for wrapping pathos multiprocessing in a simple easy to use interface with multiple
             parallel workers.
        
        More details for each library are provided as doxygen-style comments in the modules.
        
        ## Setting up
        
        ### Requirements
        
        This Library has the following dependencies:
          * opencv-python
          * scikit-learn
          * matplotlib
          * seaborn
          * pandas
          * pathos
          * scipy
          * numpy
          * numba
          
        In most cases, the above can be automatically installed through the library itself (i.e. pip will 
        attempt to download them). If this causes issues, or you wish to install specific versions (such
        as building `opencv` from source), you can prevent dependency checking by passing the `--no-deps`
        flag.
        
        ### Installing
        
        The project is available on [PyPi](https://pypi.org/project/mpctools/), and hence the latest
         (stable) release can be installed simply:
          ```shell script
          pip install mpctools [--no-deps]
          ```
        Note that the `--no-deps` flag is optional (as described [above](#requirements)).
        
        Alternatively, you may choose to install directly from source. This has the added advantage that if 
        you change any of the implementations, the changes will be reflected without having to rebuild. 
        However, you will have to manually download the source (via git or just zipped and then extracted):
          ```shell script
          python setup.py build develop [--no-deps]
          ```
        
        ### Known Issues
        
         * **Python 3.7: parallel.IWorker** - There seems to be an incompatibility in pathos with python 3.7, which is causing
         it to  default to pickle rather than dill, and sometimes preventing abc-derived classes (namely the IWorker instance)
         from  being pickled. If this happens to you, just make your worker a standard class and copy the initialiser and 
         `update_progress` methods from IWorker. We are working on a solution to this.
         * **parallel Blocking** - If the program seems to hang for no reason, it could be that one of the child processes died
         maybe due  to a memory overlow... if this happens, try to limit the amount of memory usage by each IWorker.
Keywords: extensions,parallel,utilities
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Programming Language :: Python :: 3 :: Only
Description-Content-Type: text/markdown
