Here is the correct namespace for the functions:

Both functions return flattened 1D arrays pointing to the new memory structures.

```
import numpy
a = numpy.array([[1,2],[3,4]])
r = numpy.ravel(a)
f = numpy.ndarray.flatten(a)
print(id(a))
print(id(r))
print(id(f))
print(r)
print(f)
print("\nbase r:", r.base)
print("\nbase f:", f.base)
---returns---
140541099429760
140541099471056
140541099473216
[1 2 3 4]
[1 2 3 4]
base r: [[1 2]
[3 4]]
base f: None
```

In the upper example:

- the memory locations of the results are different,
- the results look the same
- flatten would return a copy
- ravel would return a view.

How we check if something is a copy?

Using the `.base`

attribute of the `ndarray`

. If it’s a view, the base will be the original array; if it is a copy, the base will be `None`

.

Check if `a2`

is copy of `a1`

```
import numpy
a1 = numpy.array([[1,2],[3,4]])
a2 = a1.copy()
id(a2.base), id(a1.base)
```

Out:

```
(140735713795296, 140735713795296)
```