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# parameter specification for np.repeat()

Why does this code work?

```import numpy as np
threes = np.repeat(3, 3)
```

But these all throw the same error?

```threes = np.repeat(3, 3, dtype=np.uint8)  # OK I expected this to fail
threes = np.repeat([3, 3], dtype=np.uint8)
threes = np.repeat((3, 3), dtype=np.uint8)
```

I ran `?threes` and still didn't figure it out.

Thanks!

MOD

The method `np.repeat` does not take `dtype` as an argument. From `help(np.repeat)`:

```repeat(a, repeats, axis=None)
Repeat elements of an array.

Parameters
----------
a : array_like
Input array.
repeats : int or array of ints
The number of repetitions for each element.  `repeats` is broadcasted
to fit the shape of the given axis.
axis : int, optional
The axis along which to repeat values.  By default, use the
flattened input array, and return a flat output array.

Returns
-------
repeated_array : ndarray
Output array which has the same shape as `a`, except along
the given axis.
```

So, your first 3 is being treated as an array-like object. Instead, insert the array type you wish:

```>>> import numpy as np
>>> np.repeat(3, 3)
array([3, 3, 3])
>>> np.repeat([3], 3)
array([3, 3, 3])
>>> x = np.array(3, dtype=np.uint8)
>>> np.repeat(x, 3)
array([3, 3, 3], dtype=uint8)
```

Post back if you need more help. Good luck!!

Thank you so much Chris! Yes, in hindsight, the CLI returns this error:

`TypeError: repeat() got an unexpected keyword argument 'dtype'`

I wonder how I'd missed that. My advice to everyone is to try to get plenty of sleep before coding :)