See Table 2 in the original paper found here

The corresponding website can be found here

Some functions take a date as an input. However I would like to be able to pass in a vector/list of dates and/or a vector of enums and get a corresponding vector of values.

This is shown in notebook

https://github.com/domokane/FinancePy/blob/master/notebooks/products/equity/EQUITY_VANILLA_EUROPEAN_STYLE_OPTION_VECTORISATION.ipynb

Consider f(x,y,z). Behaviour that would be good

1. If x

https://earthenginepartners.appspot.com/science-2013-global-forest

It's useful to have the opposite of ak.flatten:

>>> original = ak.Array([[0, 1, 2], [], [3, 4], [5], [6, 7, 8, 9]])
>>> counts = ak.num(original)
>>> array = ak.flatten(original)
>>> counts
<Array [3, 0, 2, 1, 4] type='5 * int64'>
>>> array
<Array [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] type='10 * int64'>
>>> ak.unflatten(array, counts)
<Array [[0, 1, 2], [], ... [5], [6, 7, 8, 9]] 

See https://numba.pydata.org/numba-doc/dev/user/performance-tips.html#fastmath

Simple to implement:

• add the argument in

  • https://github.com/fluiddyn/transonic/blob/master/transonic/aheadoftime.py#L101
  • https://github.com/fluiddyn/transonic/blob/master/transonic/justintime.py#L188

• improve the Numba backend https://github.com/fluiddyn/transonic/blob/master/transonic/backends/

With the last commit kratzert/RRMPG@27e420d all simulation functions were parallelized. We now have the output of the simulation function qsim being optionally a 2D-array, were the second dimension (first for Pythonista) holds the results for different parameter sets. It would now be good, if we could pass this array directly to all the