I am trying to implement a simple dataclass that just holds a few parameters.
@dataclass
class ReconstructionParameters:
img_size: int
CR: int
denoise: bool
epochs: int
learning_rate: float
step_size: int
gamma: float
batch_size: int
regularization: float
N0: float
sig: float
arch_name: InitVar[str]
net_arch: int = field(init=False)
def __post_init__(self, arch_name):
self.net_arch = arch_name
@property
def net_arch(self):
return str(netType(self.net_arch))
@net_arch.setter
def net_arch(self, arch_name):
self.net_arch = int(netType[arch_name])
An user should be able to pass a string containing a string arch_name
during initialization of the class, but the class should keep an equivalent integer defined in the following IntEnum
:
class netType(IntEnum):
c0mp = 0
comp = 1
pinv = 2
free = 3
However, if the user wants obtain the net_arch contained in a previously created class, they should have access to the same string used for initialization instead of the integer representation. I am trying to use the @property
decorator and a setter
. Ideally, I would like to use a __post_init__()
method to initialize net_arch
that uses its setter.
When running the following code I get an error:
a = ReconstructionParameters(
img_size=64,
CR=1024,
denoise=True,
epochs=20,
learning_rate=1e-6,
step_size=10,
gamma=1e-7,
batch_size=256,
regularization=1e-6,
N0=2500,
sig=0.5,
arch_name='c0mp')
Traceback (most recent call last):
File "C:\spas\Programs\Python\test.py", line 51, in <module>
a = ReconstructionParameters(
File "<string>", line 14, in __init__
File "C:\spas\Programs\Python\test.py", line 48, in net_arch
self.net_arch = int(netType[arch_name])
File "C:\Users\user\Anaconda3\envs\singlepixelenv\lib\enum.py", line 349, in __getitem__
return cls._member_map_[name]
KeyError: <property object at 0x000001CF7C26BA40>
The dataclass field and the property cannot have the same name. But you can add a leading underscore to the field, then the property will work.
from dataclasses import InitVar, dataclass, field
from enum import IntEnum
@dataclass
class ReconstructionParameters:
img_size: int
CR: int
denoise: bool
epochs: int
learning_rate: float
step_size: int
gamma: float
batch_size: int
regularization: float
N0: float
sig: float
arch_name: InitVar[str]
_net_arch: int = field(init=False)
def __post_init__(self, arch_name):
self.net_arch = arch_name
@property
def net_arch(self):
return str(netType(self._net_arch))
@net_arch.setter
def net_arch(self, arch_name):
self._net_arch = int(netType[arch_name])
class netType(IntEnum):
c0mp = 0
comp = 1
pinv = 2
free = 3
a = ReconstructionParameters(
img_size=64,
CR=1024,
denoise=True,
epochs=20,
learning_rate=1e-6,
step_size=10,
gamma=1e-7,
batch_size=256,
regularization=1e-6,
N0=2500,
sig=0.5,
arch_name='c0mp')
print(a)
# ReconstructionParameters(img_size=64, CR=1024, denoise=True, epochs=20, learning_rate=1e-06, step_size=10, gamma=1e-07, batch_size=256, regularization=1e-06, N0=2500, sig=0.5, _net_arch=0)
print(a.net_arch)
# netType.c0mp