If you want to compare two arrays in Python without considering their memory location (i.e., without linking them), you can use the `np.array_equal()`

function from the NumPy library. This function compares the elements of the arrays, regardless of their memory addresses. Here’s an example:

```
import numpy as np
arr1 = np.array([1, 2, 3])
arr2 = np.array([1, 2, 3])
result = np.array_equal(arr1, arr2)
print(result)
```

Output:

`True`

In this example, we use the `np.array_equal()`

function to compare the arrays `arr1`

and `arr2`

. The function checks if the elements in both arrays are equal, regardless of the memory location of the arrays. The resulting Boolean value (`result`

) indicates whether the arrays are equal or not.

If the arrays have the same shape and contain the same elements in the same order, the function will return `True`

. Otherwise, it will return `False`

.

Make sure you have the NumPy library installed (`pip install numpy`

) before running this code. By using `np.array_equal()`

, you can compare two arrays without considering their memory locations and determine if they are equal.

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