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NumPy | shares_memory method

schedule Aug 12, 2023

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Parameters Return value Examples

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Numpy's shares_memory(~) method returns True if the two input arrays share the same memory.

Parameters

1. a | array-like

The first input array.

2. b | array-like

The second input array.

3. max_work | int | optional

The maximum number of checks to perform when comparing memory location:

max_work	Meaning
MAY_SHARE_EXACT	The inner contents of the array are checked. True is returned only if there is at least a pair of elements that shares the same memory.
MAY_SHARE_BOUNDS	Only the two bounds occupied by the arrays are checked.

By default, max_work=MAY_SHARE_EXACT.

Return value

A single boolean where True means that the two input arrays share the memory.

Examples


        
        
            
                
                
                    a = np.array([1,2])
b = np.array([1,2])
np.shares_memory(a,b)
                
            
            False


        
        
            
                
                
                    a = np.array([1,2])
b = a
np.shares_memory(a,b)
                
            
            True

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Published by Isshin Inada

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