I want to create a class that has a whole lot of properties that for the most part will be just get and set. Here is an example MyClass() >>> class MyClass(): … def getx(self): return self.__x … def setx(self, value): self.__x = value … def delx(self): del self.__x … x = property(getx, setx, delx, ..
With my limited understanding of @property,@setter, and @getter, I came up with following code. class BitCounts: sign_bit = 0 exponent_bits = 0 mantissa_bits = 0 _total_bits = 0 @property def total_bits(self): return self._total_bits @total_bits.setter def total_bits(self): self._total_bits = self.sign_bit + self.exponent_bits + self.mantissa_bits class Single(BitCounts): sign_bit = 1 offset = 0x7F exponent_bits = 8 mantissa_bits ..
I’m facing a bug when creating a metaclass that dynamically creates classes with properties given a config file. In more detail, I expect to dynamically create classes with some properties (regular setter and a getter that runs the result of a custom function on that attribute). So I created a Factory class to register classes ..
Is there a way how to define custom class that inherits from property that has one setter for all attributes What I want to do class Example: @myproperty def var(self): return 1 example = Example() example.var = "Some string" # Here is already setter with some logic (for example type validation etc.) I know that ..
I have a player class and a weapon class. The weapon class has a reload method that checks the inventory property of the player. The player class has a weapon property that would hold the current weapon object, from which the reload method would be called. Since the player can change weapons, I would like ..
It’s a simplified reimplementation of Django deb models. This works (similar to what Django does, although there it’s an attribute, not a property): class ClassPropertyType(type): @property def objects(cls): return cls.init_empty_storage_if_needed() class Model(metaclass=ClassPropertyType): @classmethod def init_empty_storage_if_needed(cls): if not hasattr(cls, "__objects_storage"): cls.__objects_storage = ObjectStorage(cls) return cls.__objects_storage class ObjectStorage: def __init__(self, model_class): pass def all(self): pass Model.objects.all() This: ..
I have the following class in Python: class Zones(implements(DataLoader)): def __init__(self, loader: GoogleCsvHandler): self._data = self._load_data() self._loader = loader @property def data(self) -> typing.OrderedDict: return self._data @property def loader(self) -> GoogleCsvHandler: return self._loader def _load_data(self): data = self.loader.load() return data def get_dataframe(self) -> pd.DataFrame: return pd.DataFrame() def validate(self) -> bool: return True The problem is ..
I have a module-level configuration variable that should assume function values (callable, and this callable will later be accessed and called). I want to set this variable only via an initialize() method, and have read-only access to it afterwards. If the value wasn’t to be called as a function, using a property would serve the ..
This may not be possible, or even a good idea but I wanted to see what options are available. I want to create a subclass of a DataFrame that has a column as a property. E.g. import pandas as pd class DFWithProperties(pd.DataFrame): """A DataFrame that definitely has an ‘a’ column.""" @property def depends_on_a(self): return self["a"] ..
It seems there’s been a fair bit of discussion about this already. I found this post particularly helpful, and it seems to provide one of the best solutions. But there is a problem with the recommended solution. Well, it seems to work great at first. Consider a simple test case without properties: @dataclass class Foo: ..