Skip to main content

Python S-expression emulation using tuple-like objects.

Project description

etuples

Build Status Coverage Status PyPI

Python S-expression emulation using tuple-like objects.

Examples

etuples are like tuples:

>>> from operator import add
>>> from etuples import etuple, etuplize

>>> et = etuple(add, 1, 2)
>>> et
ExpressionTuple((<built-in function add>, 1, 2))

>>> from IPython.lib.pretty import pprint
>>> pprint(et)
e(<function _operator.add(a, b, /)>, 1, 2)

>>> et[0:2]
ExpressionTuple((<built-in function add>, 1))

etuples can also be evaluated:

>>> et.evaled_obj
3

Evaluated etuples are cached:

>>> et = etuple(add, "a", "b")
>>> et.evaled_obj
'ab'

>>> et.evaled_obj is et.evaled_obj
True

Reconstructed etuples and their evaluation results are preserved across tuple operations:

>>> et_new = (et[0],) + et[1:]
>>> et_new is et
True
>>> et_new.evaled_obj is et.evaled_obj
True

rator, rands, and apply will return the operator, the operands, and apply the operation to the operands:

>>> from etuples import rator, rands, apply
>>> et = etuple(add, 1, 2)

>>> rator(et)
<built-in function add>

>>> rands(et)
ExpressionTuple((1, 2))

>>> apply(rator(et), rands(et))
3

rator and rands are multipledispatch functions that can be extended to handle arbitrary objects:

from etuples.core import ExpressionTuple
from collections.abc import Sequence


class Node:
    def __init__(self, rator, rands):
        self.rator, self.rands = rator, rands

    def __eq__(self, other):
        return self.rator == other.rator and self.rands == other.rands


class Operator:
    def __init__(self, op_name):
        self.op_name = op_name

    def __call__(self, *args):
        return Node(Operator(self.op_name), args)

    def __repr__(self):
        return self.op_name

    def __eq__(self, other):
        return self.op_name == other.op_name


rands.add((Node,), lambda x: x.rands)
rator.add((Node,), lambda x: x.rator)


@apply.register(Operator, (Sequence, ExpressionTuple))
def apply_Operator(rator, rands):
    return Node(rator, rands)
>>> mul_op, add_op = Operator("*"), Operator("+")
>>> mul_node = Node(mul_op, [1, 2])
>>> add_node = Node(add_op, [mul_node, 3])

etuplize will convert non-tuple objects into their corresponding etuple form:

>>> et = etuplize(add_node)
>>> pprint(et)
e(+, e(*, 1, 2), 3)

>>> et.evaled_obj is add_node
True

etuplize can also do shallow object-to-etuple conversions:

>>> et = etuplize(add_node, shallow=True)
>>> pprint(et)
e(+, <__main__.Node at 0x7f347361a080>, 3)

Installation

Using pip:

pip install etuples

Development

First obtain the project source:

git clone git@github.com:pythological/etuples.git

Create a virtual environment and install the development dependencies:

$ pip install -r requirements.txt

Set up pre-commit hooks:

$ pre-commit install --install-hooks

Tests can be run with the provided Makefile:

make check

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

etuples-0.3.4.tar.gz (29.9 kB view details)

Uploaded Source

File details

Details for the file etuples-0.3.4.tar.gz.

File metadata

  • Download URL: etuples-0.3.4.tar.gz
  • Upload date:
  • Size: 29.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.10

File hashes

Hashes for etuples-0.3.4.tar.gz
Algorithm Hash digest
SHA256 98051379bd284ce462d868e44c389a22206b35c495ced259041af1f32a54a0a3
MD5 5f06d641a77c876bb341a8d8d05b5b79
BLAKE2b-256 fd19b1207ec7bbbedf5d5b0f058a0ca4f9979fc31ce26244a27b28c42c13ce5b

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page