I'm trying to define some class methods using another more generic class method as follows:
class RGB(object): def __init__(self, red, blue, green): super(RGB, self).__init__() self._red = red self._blue = blue self._green = green def _color(self, type): return getattr(self, type) red = functools.partial(_color, type='_red') blue = functools.partial(_color, type='_blue') green = functools.partial(_color, type='_green')
But when i attempt to invoke any of those methods i get:
rgb = RGB(100, 192, 240) print rgb.red() TypeError: _color() takes exactly 2 arguments (1 given)
I guess self is not passed to _color
since rgb.red(rgb)
works.
You can create partial functions in python by using the partial function from the functools library. Partial functions allow one to derive a function with x parameters to a function with fewer parameters and fixed values set for the more limited function. This code will return 8.
The functools module, part of Python's standard Library, provides useful features that make it easier to work with high order functions (a function that returns a function or takes another function as an argument ).
The value in the cache is stored as a list of four items(remember root). The first item is the reference to the previous item, the second item is the reference to the next item, the third item is the key for the particular function call, the fourth item is a result.
One way to implement an LRU cache in Python is to use a combination of a doubly linked list and a hash map. The head element of the doubly linked list would point to the most recently used entry, and the tail would point to the least recently used entry.
You are creating partials on the function, not the method. functools.partial()
objects are not descriptors, they will not themselves add the self
argument and cannot act as methods themselves. You can only wrap bound methods or functions, they don't work at all with unbound methods. This is documented:
partial
objects are likefunction
objects in that they are callable, weak referencable, and can have attributes. There are some important differences. For instance, the__name__
and__doc__
attributes are not created automatically. Also,partial
objects defined in classes behave like static methods and do not transform into bound methods during instance attribute look-up.
Use property
s instead; these are descriptors:
class RGB(object): def __init__(self, red, blue, green): super(RGB, self).__init__() self._red = red self._blue = blue self._green = green def _color(self, type): return getattr(self, type) @property def red(self): return self._color('_red') @property def blue(self): return self._color('_blue') @property def green(self): return self._color('_green')
As of Python 3.4, you can use the new functools.partialmethod()
object here; it'll do the right thing when bound to an instance:
class RGB(object): def __init__(self, red, blue, green): super(RGB, self).__init__() self._red = red self._blue = blue self._green = green def _color(self, type): return getattr(self, type) red = functools.partialmethod(_color, type='_red') blue = functools.partialmethod(_color, type='_blue') green = functools.partialmethod(_color, type='_green')
but these'd have to be called, whilst the property
objects can be used as simple attributes.
The issue with partialmethod
is that it is not compatible with inspect.signature
, functools.wraps
,...
Weirdly enough, if you re-implement functools.partial
yourself using the partial documentation implementation example, it will work:
# Implementation from: # https://docs.python.org/3/library/functools.html#functools.partial def partial(func, /, *args, **keywords): def newfunc(*fargs, **fkeywords): newkeywords = {**keywords, **fkeywords} return func(*args, *fargs, **newkeywords) newfunc.func = func newfunc.args = args newfunc.keywords = keywords return newfunc
class RGB(object): def __init__(self, red, blue, green): super(RGB, self).__init__() self._red = red self._blue = blue self._green = green def _color(self, type): return getattr(self, type) red = partial(_color, type='_red') blue = partial(_color, type='_blue') green = partial(_color, type='_green') rgb = RGB(100, 192, 240) print(rgb.red()) # Print red
The reason is that newfunc
is a true function which implement the descriptor protocol with newfunc.__get__
. While type(functools.partial)
is a custom class with __call__
overwritten. Class won't add the self
parameter automatically.
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