## This file contains code taken from dplyr. The license and copyright is:
## The MIT License (MIT)
## =====================
## Copyright © 2013-2019 RStudio and others.
## Permission is hereby granted, free of charge, to any person
## obtaining a copy of this software and associated documentation
## files (the “Software”), to deal in the Software without
## restriction, including without limitation the rights to use,
## copy, modify, merge, publish, distribute, sublicense, and/or sell
## copies of the Software, and to permit persons to whom the
## Software is furnished to do so, subject to the following
## conditions:
## The above copyright notice and this permission notice shall be
## included in all copies or substantial portions of the Software.
## THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND,
## EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
## OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
## NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
## HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
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context("Summarise...")
test_that("summarise... does not remove all layers of grouping", {
df <- tibble::tibble(x = rep(1:4, each = 4),
y = rep(1:2, each = 8),
z = runif(16))
grouped <- df %>% dplyr::group_by(x, y, z)
expect_equal(dplyr::group_vars(grouped), c("x", "y", "z"))
expect_equal(dplyr::group_vars(grouped %>% summarise...(n = dplyr::n())),
c("x", "y"))
})
test_that("summarise... handles passing ...", {
df <- data.frame(x = 1:4)
f <- function(...) {
x1 <- 1
f1 <- function(x) x
summarise...(df, ..., x1 = f1(x1))
}
g <- function(...) {
x2 <- 2
f(x2 = x2, ...)
}
h <- function(before = "before", ..., after = "after") {
g(before = before, ..., after = after)
}
res <- h(x3 = 3)
expect_equal(res$x1, 1)
expect_equal(res$x2, 2)
expect_equal(res$before, "before")
expect_equal(res$after, "after")
df <- dplyr::tbl_df(df)
res <- h(x3 = 3)
expect_equal(res$x1, 1)
expect_equal(res$x2, 2)
expect_equal(res$before, "before")
expect_equal(res$after, "after")
df <- dplyr::group_by(df, x)
res <- h(x3 = 3)
expect_equal(res$x1, rep(1, 4))
expect_equal(res$x2, rep(2, 4))
expect_equal(res$before, rep("before", 4))
expect_equal(res$after, rep("after", 4))
})
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