Metadata-Version: 2.1
Name: ndarray-listener
Version: 2.0.1
Summary: Implementation of the Observer pattern for NumPy arrays
Home-page: https://github.com/limix/ndarray-listener
Author: Danilo Horta
Author-email: horta@ebi.ac.uk
Maintainer: Danilo Horta
Maintainer-email: horta@ebi.ac.uk
License: MIT
Download-URL: https://github.com/limix/ndarray-listener
Description: # ndarray-listener
        
        Implementation of the [Observer pattern](https://en.wikipedia.org/wiki/Observer_pattern) for NumPy arrays.
        
        ## Example
        
        ```python
        from numpy import array
        from ndarray_listener import ndl
        
        a = ndl(array([-0.5, 0.1, 1.1]))
        
        class Observer(object):
          def __init__(self):
            self.called_me = False
        
          def __call__(self, _):
            self.called_me = True
        
        o = Observer()
        a.talk_to(o)
        print(o.called_me)
        a[0] = 1.2
        print(o.called_me)
        ```
        
        The output should be
        
        ```
        False
        True
        ```
        
        ## Install
        
        From command line, enter
        
        ```bash
        pip install ndarray-listener
        ```
        
        ## Running the tests
        
        Install dependencies
        
        ```bash
        pip install pytest
        ```
        
        then run
        
        ```python
        python -c "import ndarray_listener; ndarray_listener.test()"
        ```
        
        ## Documentation
        
        [Documentation](https://ndarray-listener.readthedocs.io/en/latest/)
        
        ## Authors
        
        * [Danilo Horta](https://github.com/horta)
        
        
        ## License
        
        This project is licensed under the [MIT License](https://raw.githubusercontent.com/limix/ndarray-listener/master/LICENSE.md).
        
Keywords: numpy,listener,array
Platform: Windows
Platform: MacOS
Platform: POSIX
Platform: Linux
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Description-Content-Type: text/markdown
