返回Cython的阵列
我需要为大型缓冲区分配内存，而不实际对其进行初始化（结果以后将用作缓冲区，并且每个位置都将写入，因此初始化只是浪费时间）。
我可以在Cython中轻松地使用：
cdef char *buff = <char *> malloc(n * sizeof(char))
if not buff :
raise MemoryError()
问题是我不确定如何将其作为Ndarray返回到Python（类似于Numpy Array）。该文档显示了如何将其转换为列表并返回列表，但不是作为array.https：//cython.readthedocs.io/en/latest/src/tutorial/memory_allocation.html
return [x for x in my_array[:number]]
返回列表并不是很有用，因为我希望将其解释为布尔数组（此缓冲区将用作过滤元素的掩码）。
# Index and coefficient array are both numpy ND-arrays
index_array = index_array[mask]
coeff_array = coeff_array[mask]
计算口罩后，如何将缓冲区作为布尔数组返回？
I need to allocate memory for a large buffer, without actually initializing it (it will be used as a result buffer later and every location will be written to, so initialization is just a waste of time).
I can easily do this in Cython using:
cdef char *buff = <char *> malloc(n * sizeof(char))
if not buff :
raise MemoryError()
The problem is I'm not sure how to return this as an ndarray to python (similar to numpy array). The documentation shows how to convert this to a list and return it, but not as an array.https://cython.readthedocs.io/en/latest/src/tutorial/memory_allocation.html
return [x for x in my_array[:number]]
Returning a list isn't very useful as I want this to be interpreted as a boolean array (this buffer will be used as a mask to filter out elements).
# Index and coefficient array are both numpy ND-arrays
index_array = index_array[mask]
coeff_array = coeff_array[mask]
how can I return the buffer as a boolean array after I calculated a mask?
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