A placeholder
uses operator overloading to create partially bound functions on-the-fly.
When used in a binary expression, it will return a callable object with the other argument bound.
It's useful for replacing lambda
in functional programming, and resembles Scala's placeholders.
from placeholder import _ # single underscore
_.age < 18 # lambda obj: obj.age < 18
_[key] ** 2 # lambda obj: obj[key] ** 2
Note interactive shells use _
as the previous output, so assign to a different name as needed.
_
is a singleton of an F
class, and F
expressions can also be used with functions.
from placeholder import F
-F(len) # lambda obj: -len(obj)
All applicable double underscore methods are supported.
Every effort is made to optimize the placeholder instance. It's 20-40x faster than similar libraries on PyPI.
However, there is slight overhead (in CPython) in making an object callable.
Placeholders with single operators can access the func
attribute directly for optimal performance.
_.age.func # operator.attrgetter('age')
_[key].func # operator.itemgetter(key)
Performance should generally be comparable to inlined expressions, and faster than lambda. Below are some example benchmarks.
min(data, key=operator.itemgetter(-1)) # 22.7 ms
min(data, key=_[-1]) # 25.9 ms
min(data, key=lambda x: x[-1]) # 27.2 ms
$ pip install placeholder
100% branch coverage.
$ pytest [--cov]
1.0
- Removed
__
(double underscore) - Variable arguments of first function
- Method callers and multi-valued getters
0.7
- Deprecated
__
(double underscore)
0.6
- Optimized composite functions
- Renamed to
_
(single underscore) for consistency
0.5
- Unary operators
__call__
implementsmethodcaller
__getitem__
supports only single argument- Improved error handling
composer
object deprecated in favor of optimizedF
expression