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Compatibility of sketch with magrittr 2.0 #5
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Thanks for the notice. I managed to reproduce the error. It seems the problem is caused by the switch of the implementation of
to a recursive call in version 2.0.1
Under the new implementation, if the function list is too long, then the memory stack is exhausted. Reproducible exampleThe following is the reproducible example. You may need to use a higher number for the parameter n to hit the error.
BenchmarkingHere is some further benchmarking. Version 1.5 can handle a list over 100K, while version 2.0.1 hits the limit at 377 with my computer.
Thanks. |
Hmm, I might just roll back to the old implementation. What do you think @smbache? |
I seem to remember that I used recursion as well initially, but changed to a loop. Could be wrong. But could be either something similar, or speed that made me change it (as I generally try to avoid loops unless there's a good reason). |
Should be fixed, thanks for the quick and thorough feedback @kcf-jackson! |
Can't seem to consolidate the git history with my memory, but in any case I think it's fine to roll back. |
# magrittr 2.0.1 * Fixed issue caused by objects with certain names being present in the calling environment (#233). * Fixed regression in `freduce()` with long lists (kcf-jackson/sketch#5). # magrittr 2.0.0 ## Fast and lean implementation of the pipe The pipe has been rewritten in C with the following goals in mind: - Minimal performance cost. - Minimal impact on backtraces. - No impact on reference counts. As part of this rewrite we have changed the behaviour of the pipe to make it closer to the implementation that will likely be included in a future version of R. The pipe now evaluates piped expressions lazily (#120). The main consequence of this change is that warnings and errors can now be handled by trailing pipe calls: ```r stop("foo") %>% try() warning("bar") %>% suppressWarnings() ``` ## Breaking changes The pipe rewrite should generally not affect your code. We have checked magrittr on 2800 CRAN packages and found only a dozen of failures. The development version of magrittr has been advertised on social media for a 3 months trial period, and no major issues were reported. However, there are some corner cases that might require updating your code. Below is a report of the backward incompatibilities we found in real code to help you transition, should you find an issue in your code. ### Behaviour of `return()` in a pipeline In previous versions of magrittr, the behaviour of `return()` within pipe expressions was undefined. Should it return from the current pipe expression, from the whole pipeline, or from the enclosing function? The behaviour that makes the most sense is to return from the enclosing function. However, we can't make this work easily with the new implementation, and so calling `return()` is now an error. ```r my_function <- function(x) { x %>% { if (.) return("true") "false" } } my_function(TRUE) #> Error: no function to return from, jumping to top level ``` In magrittr 1.5, `return()` used to return from the current pipe expression. You can rewrite this to the equivalent: ```r my_function <- function(x) { x %>% { if (.) { "true" } else { "false" } } } my_function(TRUE) #> [1] "true" ``` For backward-compatibility we have special-cased trailing `return()` calls as this is a common occurrence in packages: ```r 1 %>% identity() %>% return() ``` Note however that this only returns from the pipeline, not the enclosing function (which is the historical behaviour): ```r my_function <- function() { "value" %>% identity() %>% return() "wrong value" } my_function() #> [1] "wrong value" ``` It is generally best to avoid using `return()` in a pipeline, even if trailing. ### Failures caused by laziness With the new lazy model for the evaluation of pipe expressions, earlier parts of a pipeline are not yet evaluated when the last pipe expression is called. They only get evaluated when the last function actually uses the piped arguments: ```r ignore <- function(x) "return value" stop("never called") %>% ignore() #> [1] "return value" ``` This should generally not cause problems. However we found some functions with special behaviour, written under the assumption that earlier parts of the pipeline were already evaluated and had already produced side effects. This is generally incorrect behaviour because that means that these functions do not work properly when called with the nested form, e.g. `f(g(1))` instead of `1 %>% g() %>% f()`. The solution to fix this is to call `force()` on the inputs to force evaluation, and only then check for side effects: ```r my_function <- function(data) { force(data) peek_side_effect() } ``` Another issue caused by laziness is that if any function in a pipeline returns invisibly, than the whole pipeline returns invisibly as well. ```r 1 %>% identity() %>% invisible() 1 %>% invisible() %>% identity() 1 %>% identity() %>% invisible() %>% identity() ``` This is consistent with the equivalent nested code. This behaviour can be worked around in two ways. You can force visibility by wrapping the pipeline in parentheses: ```r my_function <- function(x) { (x %>% invisible() %>% identity()) } ``` Or by assigning the result to a variable and return it: ```r my_function <- function(x) { out <- x %>% invisible() %>% identity() out } ``` ### Incorrect call stack introspection The magrittr expressions are no longer evaluated in frames that can be inspected by `sys.frames()` or `sys.parent()`. Using these functions for implementing actual functionality (as opposed as debugging tools) is likely to produce bugs. Instead, you should generally use `parent.frame()` which works even when R code is called from non-inspectable frames. This happens with e.g. `do.call()` and the new C implementation of magrittr. ### Incorrect assumptions about magrittr internals Some packages were depending on how magrittr was internally structured. Robust code should only use the documented and exported API of other packages. ## Bug fixes * Can now use the placeholder `.` with the splicing operator `!!!` from rlang (#191). * Piped arguments are now persistent. They can be evaluated after the pipeline has returned, which fixes subtle issues with function factories (#159, #195).
Hello,
I'm seeing in reverse dependency checks on the cloud that sketch fails with magrittr 2.0.
Unfortunately I can't reproduce locally. Could you take a look please? The notes about compatibility with magrittr 2.0 in https://github.com/tidyverse/magrittr/blob/master/NEWS.md might be useful.
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