1 | initial version |

You can bypass the Sage preparser by appending `r`

(for *raw*) to numerical input.

```
sage: import numpy as np
sage: np.mgrid[-1:1:5jr]
array([-1. , -0.5, 0. , 0.5, 1. ])
```

Note that some preparsing is still going on with -1 and 1 which are converted to Sage integers by the preparser before going to numpy's mgrid. If you want to feed numpy's mgrid with raw Python integers:

```
sage: np.mgrid[-1r:1r:5jr]
array([-1. , -0.5, 0. , 0.5, 1. ])
```

It's the same result, except less conversion was done on the way.

On a related note, you can get a Python integer by doing

```
sage: int(1)
```

but when you do this, the preparsing stage means what is really done is

```
int(Integer(1))
```

so the Python integer 1 is converted to a Sage integer and back to a Python integer.

Bypassing the Sage preparser with

```
sage: 1r
```

gets you the Python integer straight away.

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