call与apply(2) //有疑问

JS call与apply详解

今天在看一个面试题时有又看见了一个CALL与APPLY,看到了它的实例代码,觉得上次的代码之后的明朗时假的 



apply():

function.apply(this,[1,2,3]);//传入的是一个数组

call():

function.call(this,1,2,3);//传入的是一个序列表


call:

对于call来说,两个参数,如果没有第一个参数,则为NULL,此时默认为全局变量。

call可以用来实现继承,多重继承。




apply:

对于apply来说,两个参数有一个不存在,则无法被传递任何参数。



但是:我有一个疑问:


//这是在网上找的

call方法: 
语法:call([thisObj[,arg1[, arg2[,   [,.argN]]]]]) 
定义:调用一个对象的一个方法,以另一个对象替换当前对象。 
说明: 
call 方法可以用来代替另一个对象调用一个方法。call 方法可将一个函数的对象上下文从初始的上下文改变为由 thisObj 指定的新对象。 
如果没有提供 thisObj 参数,那么 Global 对象被用作 thisObj。 

apply方法: 

语法:apply([thisObj[,argArray]]) 
定义:应用某一对象的一个方法,用另一个对象替换当前对象。 
说明: 
如果 argArray 不是一个有效的数组或者不是 arguments 对象,那么将导致一个 TypeError。 
如果没有提供 argArray 和 thisObj 任何一个参数,那么 Global 对象将被用作 thisObj, 并且无法被传递任何参数。

//结束


call 的语法是:call([thisObj[,arg1[, arg2[,   [,.argN]]]]]) 这是一个序列表????

说明我对这个还是不懂。



/home/dss/Code/7_20/Condition_DDPM_7_20.py:14: DeprecationWarning: Please use `rotate` from the `scipy.ndimage` namespace, the `scipy.ndimage.interpolation` namespace is deprecated. from scipy.ndimage.interpolation import rotate Traceback (most recent call last): File "/home/dss/Code/7_20/Condition_DDPM_7_20.py", line 509, in <module> ddpm = DDPM(device, beta_1, beta_T, T, drop_prob=0.1) File "/home/dss/Code/7_20/Condition_DDPM_7_20.py", line 309, in __init__ self.model = UNet(T).to(device) File "/home/dss/.conda/envs/DSS_env/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1145, in to return self._apply(convert) File "/home/dss/.conda/envs/DSS_env/lib/python3.9/site-packages/torch/nn/modules/module.py", line 797, in _apply module._apply(fn) File "/home/dss/.conda/envs/DSS_env/lib/python3.9/site-packages/torch/nn/modules/module.py", line 797, in _apply module._apply(fn) File "/home/dss/.conda/envs/DSS_env/lib/python3.9/site-packages/torch/nn/modules/module.py", line 797, in _apply module._apply(fn) File "/home/dss/.conda/envs/DSS_env/lib/python3.9/site-packages/torch/nn/modules/module.py", line 820, in _apply param_applied = fn(param) File "/home/dss/.conda/envs/DSS_env/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1143, in convert return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking) File "/home/dss/.conda/envs/DSS_env/lib/python3.9/site-packages/torch/cuda/__init__.py", line 239, in _lazy_init raise AssertionError("Torch not compiled with CUDA enabled") AssertionError: Torch not compiled with CUDA enabled
07-21
报错了,Traceback (most recent call last): File "distance_0214.py", line 80, in <module> df['Distance'] = df['Distance'].astype(float) File "/data1/zhaoshutao/.conda/envs/torch1.9/lib/python3.8/site-packages/pandas/core/generic.py", line 6324, in astype new_data = self._mgr.astype(dtype=dtype, copy=copy, errors=errors) File "/data1/zhaoshutao/.conda/envs/torch1.9/lib/python3.8/site-packages/pandas/core/internals/managers.py", line 451, in astype return self.apply( File "/data1/zhaoshutao/.conda/envs/torch1.9/lib/python3.8/site-packages/pandas/core/internals/managers.py", line 352, in apply applied = getattr(b, f)(**kwargs) File "/data1/zhaoshutao/.conda/envs/torch1.9/lib/python3.8/site-packages/pandas/core/internals/blocks.py", line 511, in astype new_values = astype_array_safe(values, dtype, copy=copy, errors=errors) File "/data1/zhaoshutao/.conda/envs/torch1.9/lib/python3.8/site-packages/pandas/core/dtypes/astype.py", line 242, in astype_array_safe new_values = astype_array(values, dtype, copy=copy) File "/data1/zhaoshutao/.conda/envs/torch1.9/lib/python3.8/site-packages/pandas/core/dtypes/astype.py", line 187, in astype_array values = _astype_nansafe(values, dtype, copy=copy) File "/data1/zhaoshutao/.conda/envs/torch1.9/lib/python3.8/site-packages/pandas/core/dtypes/astype.py", line 138, in _astype_nansafe return arr.astype(dtype, copy=True) ValueError: could not convert string to float: '[3075.47520444 3037.03637606 3037.71538109 ... 2739.14671304 2777.33042915' Finished writing to file. Traceback (most recent call last): File "distance_0214.py", line 80, in <module> df['Distance'] = df['Distance'].astype(float) File "/data1/zhaoshutao/.conda/envs/torch1.9/lib/python3.8/site-packages/pandas/core/generic.py", line 6324, in astype new_data = self._mgr.astype(dtype=dtype, copy=copy, errors=errors) File "/data1/zhaoshutao/.conda/envs/torch1.9/lib/python3.8/site-packages/pandas/core/internals/managers.py", line 451, in astype return self.apply( File "/data1/zhaoshutao/.conda/envs/torch1.9/lib/python3.8/site-packages/pandas/core/internals/managers.py", line 352, in apply applied = getattr(b, f)(**kwargs) File "/data1/zhaoshutao/.conda/envs/torch1.9/lib/python3.8/site-packages/pandas/core/internals/blocks.py", line 511, in astype new_values = astype_array_safe(values, dtype, copy=copy, errors=errors) File "/data1/zhaoshutao/.conda/envs/torch1.9/lib/python3.8/site-packages/pandas/core/dtypes/astype.py", line 242, in astype_array_safe new_values = astype_array(values, dtype, copy=copy) File "/data1/zhaoshutao/.conda/envs/torch1.9/lib/python3.8/site-packages/pandas/core/dtypes/astype.py", line 187, in astype_array values = _astype_nansafe(values, dtype, copy=copy) File "/data1/zhaoshutao/.conda/envs/torch1.9/lib/python3.8/site-packages/pandas/core/dtypes/astype.py", line 138, in _astype_nansafe return arr.astype(dtype, copy=True) ValueError: could not convert string to float: '[3394.65515305 3358.66594089 3240.6035105 ... 3103.53690088 3141.13975852'
最新发布
03-12
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