Description Usage Arguments Value Control processing order of elements

*This is an internal function.*

1 2 | ```
makeChunks(nbrOfElements, nbrOfWorkers, future.scheduling = 1,
future.chunk.size = NULL)
``` |

`nbrOfElements` |
(integer) Total number of elements to iterate over. |

`future.scheduling` |
(numeric) A strictly positive scalar.
Only used if argument |

`future.chunk.size` |
(numeric) The maximum number of elements per
chunk, or |

`nbrOfWorker` |
(integer) Number of workers available. |

A list of chunks, where each chunk is an integer vector of
unique indices `[1, nbrOfElements]`

. The union of all chunks
holds `nbrOfElements`

elements and equals `1:nbrOfElements`

.
If `nbrOfElements == 0`

, then an empty list is returned.

Attribute `ordering`

of `future.chunk.size`

or `future.scheduling`

can
be used to control the ordering the elements are iterated over, which
only affects the processing order *not* the order values are returned.
This attribute can take the following values:

index vector - an numeric vector of length

`nbrOfElements`

specifying how elements are remappedfunction - an function taking one argument which is called as

`ordering(nbrOfElements)`

and which much return an index vector of length`nbrOfElements`

, e.g.`function(n) rev(seq_len(n))`

for reverse ordering.-
`"random"`

- this will randomize the ordering via random index vector`sample.int(nbrOfElements)`

.

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