future_modify: Modify elements selectively via futures
In DavisVaughan/furrr: Apply Mapping Functions in Parallel using Futures

View source: R/future-modify.R

future_modify

R Documentation

Modify elements selectively via futures

Description

These functions work exactly the same as purrr::modify() functions, but allow you to modify in parallel.

Usage

future_modify(
  .x,
  .f,
  ...,
  .options = furrr_options(),
  .env_globals = parent.frame(),
  .progress = FALSE
)

future_modify_at(
  .x,
  .at,
  .f,
  ...,
  .options = furrr_options(),
  .env_globals = parent.frame(),
  .progress = FALSE
)

future_modify_if(
  .x,
  .p,
  .f,
  ...,
  .else = NULL,
  .options = furrr_options(),
  .env_globals = parent.frame(),
  .progress = FALSE
)

Arguments

`.x`	A list or atomic vector.
`.f`	A function, formula, or vector (not necessarily atomic). If a function, it is used as is. If a formula, e.g. `~ .x + 2`, it is converted to a function. There are three ways to refer to the arguments: For a single argument function, use `.` For a two argument function, use `.x` and `.y` For more arguments, use `..1`, `..2`, `..3` etc This syntax allows you to create very compact anonymous functions. If character vector, numeric vector, or list, it is converted to an extractor function. Character vectors index by name and numeric vectors index by position; use a list to index by position and name at different levels. If a component is not present, the value of `.default` will be returned.
`...`	Additional arguments passed on to the mapped function.
`.options`	The `future` specific options to use with the workers. This must be the result from a call to `furrr_options()`.
`.env_globals`	The environment to look for globals required by `.x` and `...`. Globals required by `.f` are looked up in the function environment of `.f`.
`.progress`	A single logical. Should a progress bar be displayed? Only works with multisession, multicore, and multiprocess futures. Note that if a multicore/multisession future falls back to sequential, then a progress bar will not be displayed. Warning: The `.progress` argument will be deprecated and removed in a future version of furrr in favor of using the more robust progressr package.
`.at`	A character vector of names, positive numeric vector of positions to include, or a negative numeric vector of positions to exlude. Only those elements corresponding to `.at` will be modified. If the `tidyselect` package is installed, you can use `vars()` and the `tidyselect` helpers to select elements.
`.p`	A single predicate function, a formula describing such a predicate function, or a logical vector of the same length as `.x`. Alternatively, if the elements of `.x` are themselves lists of objects, a string indicating the name of a logical element in the inner lists. Only those elements where `.p` evaluates to `TRUE` will be modified.
`.else`	A function applied to elements of `.x` for which `.p` returns `FALSE`.

Details

From purrr:

Since the transformation can alter the structure of the input; it's your responsibility to ensure that the transformation produces a valid output. For example, if you're modifying a data frame, .f must preserve the length of the input.

Value

An object the same class as .x

Examples

library(magrittr)
plan(multisession, workers = 2)

# Convert each col to character, in parallel
future_modify(mtcars, as.character)

iris %>%
 future_modify_if(is.factor, as.character) %>%
 str()

mtcars %>%
  future_modify_at(c(1, 4, 5), as.character) %>%
  str()

DavisVaughan/furrr documentation built on Aug. 17, 2022, 7:16 p.m.