Biggus 0.2

Virtual large arrays and lazy evaluation

Virtual large arrays and lazy evaluation.

Design goals:

• Keep the public interface compact.

• Leverage standard Python syntax.

• Avoid overloading behaviour.

• Mimic NumPy when it doesn’t contradict the other goals.

Use cases:

1. Extract a lazy subset of a lazy array.

2. Extract a sequence of concrete slices from a lazy array.

   • MUST NOT make the full lazy array concrete.

3. Stack a homogenous collection of lazy arrays to create a higher dimensional lazy array.

4. Join a collection of compatible lazy arrays to create a larger lazy array of the same dimensionality.