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"Lazy" calculations support.

Project description

lz

In what follows

  • python is an alias for python3.5 or any later version (python3.6 and so on),
  • pypy is an alias for pypy3.5 or any later version (pypy3.6 and so on).

Installation

Install the latest pip & setuptools packages versions:

  • with CPython
    python -m pip install --upgrade pip setuptools
    
  • with PyPy
    pypy -m pip install --upgrade pip setuptools
    

User

Download and install the latest stable version from PyPI repository:

  • with CPython
    python -m pip install --upgrade lz
    
  • with PyPy
    pypy -m pip install --upgrade lz
    

Developer

Download the latest version from GitHub repository

git clone https://github.com/lycantropos/lz.git
cd lz

Install:

  • with CPython
    python setup.py install
    
  • with PyPy
    pypy setup.py install
    

Usage

lz provides a bunch of utilities for working with functions, predicates & iterables such as

  1. function composition

    >>> from lz.functional import compose
    >>> sum_of_first_n_natural_numbers = compose(sum, range)
    >>> sum_of_first_n_natural_numbers(10)
    45
    
  2. currying

    >>> from lz.functional import curry 
    >>> curried_power = curry(pow) 
    >>> two_to_power = curried_power(2) 
    >>> two_to_power(10)
    1024
    
  3. flipping positional parameters order

    >>> from lz.functional import flip
    >>> flipped_power = flip(pow)
    >>> flipped_power(2, 4)
    16
    
  4. packing function's arguments

    >>> from lz.functional import pack
    >>> packed_int = pack(int)
    >>> packed_int(['10'])
    10
    >>> packed_int(['10'], {'base': 2})
    2
    
  5. left partial application

    >>> from lz import left
    >>> count_from_zero_to = left.applier(range, 0)
    >>> list(count_from_zero_to(10))
    [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
    
  6. right partial application

    >>> from lz import right
    >>> square = right.applier(pow, 2)
    >>> square(10)
    100
    
  7. negating predicate

    >>> from lz.logical import negate
    >>> false_like = negate(bool)
    >>> false_like([])
    True
    >>> false_like([0])
    False
    
  8. conjoining predicates

    >>> from lz.logical import conjoin
    >>> is_valid_constant_identifier = conjoin(str.isupper, str.isidentifier)
    >>> is_valid_constant_identifier('SECOND_SECTION')
    True
    >>> is_valid_constant_identifier('2ND_SECTION')
    False
    
  9. disjoining predicates

    >>> from lz.logical import disjoin
    >>> alphabetic_or_numeric = disjoin(str.isalpha, str.isnumeric)
    >>> alphabetic_or_numeric('Hello')
    True
    >>> alphabetic_or_numeric('42')
    True
    >>> alphabetic_or_numeric('Hello42')
    False
    
  10. exclusive disjoining predicates

    >>> from lz.logical import exclusive_disjoin
    >>> from keyword import iskeyword
    >>> valid_object_name = exclusive_disjoin(str.isidentifier, iskeyword)
    >>> valid_object_name('valid_object_name')
    True
    >>> valid_object_name('_')
    True
    >>> valid_object_name('1')
    False
    >>> valid_object_name('lambda')
    False
    
  11. reversing sequences and any string streams

    >>> from lz.reversal import reverse
    >>> list(reverse(range(10)))
    [9, 8, 7, 6, 5, 4, 3, 2, 1, 0]
    >>> import io
    >>> list(reverse(io.BytesIO(b'Hello\nWorld!')))
    [b'World!', b'Hello\n']
    
  12. chunking iterable

    >>> from lz.iterating import chopper
    >>> to_triplets = chopper(3)
    >>> list(map(tuple, to_triplets(range(10))))
    [(0, 1, 2), (3, 4, 5), (6, 7, 8), (9,)]
    
  13. sliding over iterable

    >>> from lz.iterating import slider
    >>> slide_pairwise = slider(2)
    >>> list(slide_pairwise(range(10)))
    [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6), (6, 7), (7, 8), (8, 9)]
    
  14. interleaving iterables

    >>> from lz.iterating import interleave
    >>> list(interleave([range(10), range(10, 20)]))
    [0, 10, 1, 11, 2, 12, 3, 13, 4, 14, 5, 15, 6, 16, 7, 17, 8, 18, 9, 19]
    
  15. iterable transposition

    >>> from lz.transposition import transpose
    >>> list(map(tuple, transpose(zip(range(10), range(10, 20)))))
    [(0, 1, 2, 3, 4, 5, 6, 7, 8, 9), (10, 11, 12, 13, 14, 15, 16, 17, 18, 19)]
    
  16. iterable duplication

    >>> from lz.replication import duplicate
    >>> list(map(tuple, duplicate(range(10))))
    [(0, 1, 2, 3, 4, 5, 6, 7, 8, 9), (0, 1, 2, 3, 4, 5, 6, 7, 8, 9)]
    

and many more.

Development

Building docs

Install project in editable mode

  • with CPython
    python -m pip install -e .
    
  • with PyPy
    pypy -m pip install -e .
    

Install docs requirements

  • with CPython
    python -m pip install -r docs/requirements.txt
    
  • with PyPy
    pypy -m pip install -r docs/requirements.txt
    

Build docs

cd docs
make html

Bumping version

Preparation

Install bump2version.

Pre-release

Choose which version number category to bump following semver specification.

Test bumping version

bump2version --dry-run --verbose $CATEGORY

where $CATEGORY is the target version number category name, possible values are patch/minor/major.

Bump version

bump2version --verbose $CATEGORY

This will set version to major.minor.patch-alpha.

Release

Test bumping version

bump2version --dry-run --verbose --tag release

Bump version

bump2version --verbose --tag release

This will set version to major.minor.patch and add Git tag.

Notes

To avoid inconsistency between branches and pull requests, bumping version should be merged into master branch as separate pull request.

Running tests

Plain:

  • with CPython
    python setup.py test
    
  • with PyPy
    pypy setup.py test
    

Inside Docker container:

  • with CPython
    docker-compose --file docker-compose.cpython.yml up
    
  • with PyPy
    docker-compose --file docker-compose.pypy.yml up
    

Bash script (e.g. can be used in Git hooks):

  • with CPython

    ./run-tests.sh
    

    or

    ./run-tests.sh cpython
    
  • with PyPy

    ./run-tests.sh pypy
    

PowerShell script (e.g. can be used in Git hooks):

  • with CPython
    .\run-tests.ps1
    
    or
    .\run-tests.ps1 cpython
    
  • with PyPy
    .\run-tests.ps1 pypy
    

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