Mojo function

compact_order

compact_order(shape: IntTuple[origin], order: IntTuple[origin]) -> IntTuple

Create a compact stride based on shape and order.

This function generates a stride tuple where lower order numbers imply faster varying strides. The resulting shape and stride form a bijective layout.

Performance: - Always inlined for optimal performance in tight loops. - Flattens inputs and re-nests results for consistent behavior.

Example:

```mojo
from layout import IntTuple
from layout.int_tuple import compact_order

# Create a compact layout with dimensions (2,3,4,5) and ordering (1,4,3,5)
var x = compact_order(IntTuple(2,3,4,5), IntTuple(1,4,3,5))  # returns (1,8,2,24)

# Create a compact layout with nested dimensions and corresponding ordering
var y = compact_order(IntTuple(2,IntTuple(3,4),5), IntTuple(1,IntTuple(2,3),4))  # returns (1,(2,6),24)
```
.
```mojo
from layout import IntTuple
from layout.int_tuple import compact_order

# Create a compact layout with dimensions (2,3,4,5) and ordering (1,4,3,5)
var x = compact_order(IntTuple(2,3,4,5), IntTuple(1,4,3,5))  # returns (1,8,2,24)

# Create a compact layout with nested dimensions and corresponding ordering
var y = compact_order(IntTuple(2,IntTuple(3,4),5), IntTuple(1,IntTuple(2,3),4))  # returns (1,(2,6),24)
```
.

Args:

shape (IntTuple[origin]): The shape tuple defining dimensions.
order (IntTuple[origin]): The order tuple defining the relative ordering of dimensions.

Returns:

A stride tuple that creates a compact memory layout according to the specified order.