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Python library for defining strings with delayed evaluation

Home Page: https://pypi.org/project/lazy-string

License: MIT License

Python 100.00%
lazy lazy-evaluation libraries library python string strings

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lazy-string's Issues

LazyString.encode fails with <LazyString broken>

The following code snippet raises a TypeError: 'bytes' object is not callable

from lazy_string import LazyString

def get_abc():
    return "abc"

s = LazyString(get_abc)

print(s.encode('UTF-8'))

Here is the traceback from running this

Traceback (most recent call last):
  File "testls.py", line 8, in <module>
    print(s.encode('UTF-8'))
  File "/usr/local/Cellar/[email protected]/3.7.11/Frameworks/Python.framework/Versions/3.7/lib/python3.7/collections/__init__.py", line 1163, in __str__
    def __str__(self): return str(self.data)
  File "/Users/brian/.virtualenvs/nips3/lib/python3.7/site-packages/lazy_string.py", line 56, in data
    return self._func(*self._args, **self._kwargs)
TypeError: 'bytes' object is not callable

Maybe add some particularly useful examples to the docs?

Awesome library! I wish I'd thought to google for this when writing dozens of DEBUG log messages with expensive string formatting, usually pprint. For example the following is incomplete, the expensive call to pprint.pformat may still happen for some logging configurations:

if logger.isEnabledFor(logging.DEBUG):
    logger.debug("Processing large data shape:\n%s", pprint.pformat(data_dict))

This might make a good example to include in the docs to help potential users imagine why they might use this. Untested, but in this case the expensive call should never happen unless this logging record is actually going to be emitted:

logger.debug(
    "Processing large data shape:\n%s",
    lazy_string.LazyString(functools.partial(pprint.pformat, data_dict)),
)

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