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Python library for defining strings with delayed evaluation

Project description

Python library for defining strings with delayed evaluation.

Version of PyPI package Supported versions of Python MIT license

The package provides a LazyString class. Its constructor accepts a callable (say, a function) which will be called when string’s value is needed. The constructor also allows to specify positional and keyword arguments for that callable:

def __init__(self, func: Callable[..., str], *args: Tuple, **kwargs: Mapping) -> None:
  ...

The value is re-evaluated on every access.

Installation

Available as a PyPI package:

pip install lazy-string

Usage

Using with a function having no parameters:

from lazy_string import LazyString

def make_foo() -> str:
  return "foo"

s = LazyString(make_foo)

The value is evaluated on demand:

>>> s + " bar"
'foo bar'

>>> str(s)
'foo'

Representation explicitly tells it’s a LazyString:

>>> s
LazyString('foo')

It’s safe to pass standard strings, as they will be returned as-is:

>>> LazyString("foo bar")
'foo bar'

Supports methods of standard strings:

>>> s.upper()
'FOO'

>>> "f" in s
True

>>> dir(s)
['__add__', '__class__', '__contains__', '__delattr__', '__dir__', '__doc__',
 '__eq__', '__format__', '__ge__', '__getattribute__', '__getitem__',
 '__getnewargs__', '__gt__', '__hash__', '__init__', '__init_subclass__',
 '__iter__', '__le__', '__len__', '__lt__', '__mod__', '__mul__', '__ne__',
 '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__rmod__', '__rmul__',
 '__setattr__', '__sizeof__', '__str__', '__subclasshook__',
 'capitalize', 'casefold', 'center', 'count', 'encode', 'endswith',
 'expandtabs', 'find', 'format', 'format_map', 'index', 'isalnum', 'isalpha',
 'isascii', 'isdecimal', 'isdigit', 'isidentifier', 'islower', 'isnumeric',
 'isprintable', 'isspace', 'istitle', 'isupper', 'join', 'ljust', 'lower',
 'lstrip', 'maketrans', 'partition', 'replace', 'rfind', 'rindex', 'rjust',
 'rpartition', 'rsplit', 'rstrip', 'split', 'splitlines', 'startswith',
 'strip', 'swapcase', 'title', 'translate', 'upper', 'zfill']

Supplying parameters for the callable:

def make_foo(arg1, arg2):
  return f"foo {arg1} {arg2}"

s = LazyString(make_foo, 123, arg2=456)
>>> str(s)
'foo 123 456'

Implementation Details

LazyString is inherited from collections.UserString.

>>> LazyString.__mro__
(<class 'lazy_string.LazyString'>, <class 'collections.UserString'>,
 <class 'collections.abc.Sequence'>, <class 'collections.abc.Reversible'>,
 <class 'collections.abc.Collection'>, <class 'collections.abc.Sized'>,
 <class 'collections.abc.Iterable'>, <class 'collections.abc.Container'>,
 <class 'object'>)

Serialization

Pickling

Supported out of the box:

>>> import pickle
>>> s == pickle.loads(pickle.dumps(s))
True

To JSON

Supported with any encoder able to encode collections.UserString:

import json
import collections

class JSONEncoder(json.JSONEncoder):

  def default(self, o):
    if isinstance(o, collections.UserString):
      return str(o)
    return super().default(o)
>>> data = {'s': s}
>>> json.dumps(data, cls=JSONEncoder)
'{"s": "foo"}'

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