Metadata-Version: 1.1
Name: pyfunctor
Version: 0.1.3
Summary: A Functor library for Python
Home-page: https://github.com/jnamika/pyfunctor
Author: Jun Namikawa
Author-email: jnamika@gmail.com
License: ISC License (ISCL)
Description: 
        pyfunctor is a Python Functor library that provides classes implementing
        lazy evaluation, pipeline operators and block syntax.
        
        An example of usages is following:
        
            >>> from pyfunctor.functor import *
            >>> f = (Functor(range(10)) >> c_(map)(lambda x: x * 2)
            ...      >> c_(filter)(lambda x: x < 7)
            ...      >> c_(sorted).key(lambda x: -x))
            >>> run(f)  # lazy evaluation
            [6, 4, 2, 0]
        
        The 'Functor' class packs a value into a context.
        The pipeline operator '>>' composes functions, but it is not calculated until
        'run' function is applied to the 'Functor' instance.
        
        Furthermore, 'Functor' instance will work together with the 'with' statement.
        The instance is only once evaluated after the with-block is done.
        
            >>> with Functor(range(10)) as box:
            ...     @c_(map)
            ...     def f(x):
            ...         y = x % 3
            ...         z = x + y
            ...         return x + y + z
            ...
            ...     @c_(sorted, keyword='key')
            ...     def g(x):
            ...         return (x % 7, x % 3, x)
            >>> box.value
            [0, 14, 8, 16, 10, 18, 4, 12, 6, 20]
        
        In general, functors are things that can be mapped over, like Lists, Maybes and such.
        The 'Functor' class implements the identity functor to provide a default implementation.
        As other examples, 'ListF' and 'Maybe' are provided.
        
            >>> from pyfunctor.list import *
            >>> run(ListF([1, 2, 3]) >> (lambda x: x + 1))
            [2, 3, 4]
            >>> f = lift(lambda x, y: (x, y))
            >>> run(f(ListF(range(3)), ListF('ab')))
            [(0, 'a'), (0, 'b'), (1, 'a'), (1, 'b'), (2, 'a'), (2, 'b')]
        
            >>> from pyfunctor.maybe import *
            >>> @lift
            ... def func(x):
            ...     if x > 0: return x * 2
            ...     else: raise Exception()
            >>> func(Just(1)).run()
            Just(2)
            >>> func(Just(0)).run()
            Nothing
        
Keywords: functor lazy pipeline block
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: ISC License (ISCL)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Topic :: Software Development :: Libraries :: Python Modules
