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

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

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"}'