This is causing an error "'staticmethod' object is not callable". My workaroud: @staticmethod def has_float64_support(device_id = None): if device_id is None: device_id = PrivateUse1Module.default_device() return torch_directml_native.has_float64_support(device_id) @staticmethod def gpu...
Describe the bug It looks like ManimGL is no longer compatible with Python < 3.10, as, prior to this Python version, @staticmethod were not regular callable (hence, using them as a wrapper didn't work). See here https://stackoverflow.com...
Note that this all applies to staticmethod objects too; a, Question: TypeError: 'int' object is not callable , : 'int' object is not callable Solution: , : 'int' object is not callable I have changed name on the object to make sure, : '_SentinelObject' object is not callable Any ...
...为了方便排错,去掉food参数 class Dog(object): def __init__(self, name): self.name = name @staticmethod...d.eat() 执行报错: TypeError: eat() missing 1 required positional argument: 'self' 意思是少了一个位置参数self 在类方法调用的时候...静态方法不一定放到类的最下面,...
首先，查看回溯，找出 * 代码中 * 错误发生的位置。如果是在库中，则回溯到代码使用库的位置。然后...
---> 66 return java_obj(*java_args) 68 @staticmethodTypeError: 'JavaPackage' object is not callable 浏览0提问于2021-03-26得票数1 1回答 TypeError:“JavaPackage”对象在使用rdd.foreach()时不可调用 、 ]+"/month="+filePath[2]+"/day="+filePath...
4TypeError:'builtin_function_or_method'objectisnotsubscriptable 5#第二行语法错误 易错三:append不能⼀次添加多个元素 1>>>list=['松','竹'] 2>>>list.append('梅','岁寒三友') 3>>>print(list) 4TypeError:append()takesexactlyoneargument(2given) ...
ifisinstance(o,date):returnhttp_date(o)ifisinstance(o,(decimal.Decimal,uuid.UUID)):returnstr(o)ifdataclassesanddataclasses.is_dataclass(o):returndataclasses.asdict(o)ifhasattr(o,"__html__"):returnstr(o.__html__())raiseTypeError(f"Object of type{type(o).__name__}is not JSON ...
Webex Bot version: 0.2.19 Python version: 3.8.12 Operating System: macOS Monterey v12.2.1 Description Getting TypeError: 'staticmethod' object is not callable when I run the 'help' command on webex What I Did When running the 'help' comm...
I'm getting the exception TypeError: 'generator' object is not callable when I train with multiple GPU's I'm not sure where it's coming from, my datasets are subclasses of torchtext.data.Dataset and the data loaders are torchtext.data.BucketIterator. What's the easiest way of identifying ...