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authorDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-21 11:54:28 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-21 11:54:28 +0000
commite6918187568dbd01842d8d1d2c808ce16a894239 (patch)
tree64f88b554b444a49f656b6c656111a145cbbaa28 /src/arrow/r/tests/testthat/test-Array.R
parentInitial commit. (diff)
downloadceph-upstream/18.2.2.tar.xz
ceph-upstream/18.2.2.zip
Adding upstream version 18.2.2.upstream/18.2.2
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'src/arrow/r/tests/testthat/test-Array.R')
-rw-r--r--src/arrow/r/tests/testthat/test-Array.R963
1 files changed, 963 insertions, 0 deletions
diff --git a/src/arrow/r/tests/testthat/test-Array.R b/src/arrow/r/tests/testthat/test-Array.R
new file mode 100644
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+++ b/src/arrow/r/tests/testthat/test-Array.R
@@ -0,0 +1,963 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements. See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership. The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied. See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+test_that("Integer Array", {
+ ints <- c(1:10, 1:10, 1:5)
+ x <- expect_array_roundtrip(ints, int32())
+})
+
+test_that("binary Array", {
+ # if the type is given, we just need a list of raw vectors
+ bin <- list(as.raw(1:10), as.raw(1:10))
+ expect_array_roundtrip(bin, binary(), as = binary())
+ expect_array_roundtrip(bin, large_binary(), as = large_binary())
+ expect_array_roundtrip(bin, fixed_size_binary(10), as = fixed_size_binary(10))
+
+ bin[[1L]] <- as.raw(1:20)
+ expect_error(Array$create(bin, fixed_size_binary(10)))
+
+ # otherwise the arrow type is deduced from the R classes
+ bin <- vctrs::new_vctr(
+ list(as.raw(1:10), as.raw(11:20)),
+ class = "arrow_binary"
+ )
+ expect_array_roundtrip(bin, binary())
+
+ bin <- vctrs::new_vctr(
+ list(as.raw(1:10), as.raw(11:20)),
+ class = "arrow_large_binary"
+ )
+ expect_array_roundtrip(bin, large_binary())
+
+ bin <- vctrs::new_vctr(
+ list(as.raw(1:10), as.raw(11:20)),
+ class = "arrow_fixed_size_binary",
+ byte_width = 10L
+ )
+ expect_array_roundtrip(bin, fixed_size_binary(byte_width = 10))
+
+ # degenerate cases
+ skip_on_valgrind() # valgrind errors on these tests ARROW-12638
+ bin <- vctrs::new_vctr(
+ list(1:10),
+ class = "arrow_binary"
+ )
+ expect_error(Array$create(bin))
+
+ bin <- vctrs::new_vctr(
+ list(1:10),
+ ptype = raw(),
+ class = "arrow_large_binary"
+ )
+ expect_error(Array$create(bin))
+
+ bin <- vctrs::new_vctr(
+ list(1:10),
+ class = "arrow_fixed_size_binary",
+ byte_width = 10
+ )
+ expect_error(Array$create(bin))
+
+ bin <- vctrs::new_vctr(
+ list(as.raw(1:5)),
+ class = "arrow_fixed_size_binary",
+ byte_width = 10
+ )
+ expect_error(Array$create(bin))
+
+ bin <- vctrs::new_vctr(
+ list(as.raw(1:5)),
+ class = "arrow_fixed_size_binary"
+ )
+ expect_error(Array$create(bin))
+})
+
+test_that("Slice() and RangeEquals()", {
+ ints <- c(1:10, 101:110, 201:205)
+ x <- Array$create(ints)
+
+ y <- x$Slice(10)
+ expect_equal(y$type, int32())
+ expect_equal(length(y), 15L)
+ expect_as_vector(y, c(101:110, 201:205))
+ expect_true(x$RangeEquals(y, 10, 24))
+ expect_false(x$RangeEquals(y, 9, 23))
+ expect_false(x$RangeEquals(y, 11, 24))
+
+ z <- x$Slice(10, 5)
+ expect_as_vector(z, c(101:105))
+ expect_true(x$RangeEquals(z, 10, 15, 0))
+
+ # Input validation
+ expect_error(x$Slice("ten"))
+ expect_error(x$Slice(NA_integer_), "Slice 'offset' cannot be NA")
+ expect_error(x$Slice(NA), "Slice 'offset' cannot be NA")
+ expect_error(x$Slice(10, "ten"))
+ expect_error(x$Slice(10, NA_integer_), "Slice 'length' cannot be NA")
+ expect_error(x$Slice(NA_integer_, NA_integer_), "Slice 'offset' cannot be NA")
+ expect_error(x$Slice(c(10, 10)))
+ expect_error(x$Slice(10, c(10, 10)))
+ expect_error(x$Slice(1000), "Slice 'offset' greater than array length")
+ expect_error(x$Slice(-1), "Slice 'offset' cannot be negative")
+ expect_error(z$Slice(10, 10), "Slice 'offset' greater than array length")
+ expect_error(x$Slice(10, -1), "Slice 'length' cannot be negative")
+ expect_error(x$Slice(-1, 10), "Slice 'offset' cannot be negative")
+
+ expect_warning(x$Slice(10, 15), NA)
+ expect_warning(
+ overslice <- x$Slice(10, 16),
+ "Slice 'length' greater than available length"
+ )
+ expect_equal(length(overslice), 15)
+ expect_warning(z$Slice(2, 10), "Slice 'length' greater than available length")
+
+ expect_error(x$RangeEquals(10, 24, 0), 'other must be a "Array"')
+ expect_error(x$RangeEquals(y, NA, 24), "'start_idx' cannot be NA")
+ expect_error(x$RangeEquals(y, 10, NA), "'end_idx' cannot be NA")
+ expect_error(x$RangeEquals(y, 10, 24, NA), "'other_start_idx' cannot be NA")
+ expect_error(x$RangeEquals(y, "ten", 24))
+
+ skip("TODO: (if anyone uses RangeEquals)")
+ expect_error(x$RangeEquals(y, 10, 2400, 0)) # does not error
+ expect_error(x$RangeEquals(y, 1000, 24, 0)) # does not error
+ expect_error(x$RangeEquals(y, 10, 24, 1000)) # does not error
+})
+
+test_that("Double Array", {
+ dbls <- c(1, 2, 3, 4, 5, 6)
+ x_dbl <- expect_array_roundtrip(dbls, float64())
+})
+
+test_that("Array print method includes type", {
+ x <- Array$create(c(1:10, 1:10, 1:5))
+ expect_output(print(x), "Array\n<int32>\n[\n", fixed = TRUE)
+})
+
+test_that("Array supports NA", {
+ x_int <- Array$create(as.integer(c(1:10, NA)))
+ x_dbl <- Array$create(as.numeric(c(1:10, NA)))
+ expect_true(x_int$IsValid(0))
+ expect_true(x_dbl$IsValid(0L))
+ expect_true(x_int$IsNull(10L))
+ expect_true(x_dbl$IsNull(10))
+
+ expect_as_vector(is.na(x_int), c(rep(FALSE, 10), TRUE))
+ expect_as_vector(is.na(x_dbl), c(rep(FALSE, 10), TRUE))
+
+ # Input validation
+ expect_error(x_int$IsValid("ten"))
+ expect_error(x_int$IsNull("ten"))
+ expect_error(x_int$IsValid(c(10, 10)))
+ expect_error(x_int$IsNull(c(10, 10)))
+ expect_error(x_int$IsValid(NA), "'i' cannot be NA")
+ expect_error(x_int$IsNull(NA), "'i' cannot be NA")
+ expect_error(x_int$IsValid(1000), "subscript out of bounds")
+ expect_error(x_int$IsValid(-1), "subscript out of bounds")
+ expect_error(x_int$IsNull(1000), "subscript out of bounds")
+ expect_error(x_int$IsNull(-1), "subscript out of bounds")
+})
+
+test_that("Array support null type (ARROW-7064)", {
+ expect_array_roundtrip(vctrs::unspecified(10), null())
+})
+
+test_that("Array supports logical vectors (ARROW-3341)", {
+ # with NA
+ x <- sample(c(TRUE, FALSE, NA), 1000, replace = TRUE)
+ expect_array_roundtrip(x, bool())
+
+ # without NA
+ x <- sample(c(TRUE, FALSE), 1000, replace = TRUE)
+ expect_array_roundtrip(x, bool())
+})
+
+test_that("Array supports character vectors (ARROW-3339)", {
+ # without NA
+ expect_array_roundtrip(c("itsy", "bitsy", "spider"), utf8())
+ expect_array_roundtrip(c("itsy", "bitsy", "spider"), large_utf8(), as = large_utf8())
+
+ # with NA
+ expect_array_roundtrip(c("itsy", NA, "spider"), utf8())
+ expect_array_roundtrip(c("itsy", NA, "spider"), large_utf8(), as = large_utf8())
+})
+
+test_that("Character vectors > 2GB become large_utf8", {
+ skip_on_cran()
+ skip_if_not_running_large_memory_tests()
+ big <- make_big_string()
+ expect_array_roundtrip(big, large_utf8())
+})
+
+test_that("empty arrays are supported", {
+ expect_array_roundtrip(character(), utf8())
+ expect_array_roundtrip(character(), large_utf8(), as = large_utf8())
+ expect_array_roundtrip(integer(), int32())
+ expect_array_roundtrip(numeric(), float64())
+ expect_array_roundtrip(factor(character()), dictionary(int8(), utf8()))
+ expect_array_roundtrip(logical(), bool())
+})
+
+test_that("array with all nulls are supported", {
+ nas <- c(NA, NA)
+ expect_array_roundtrip(as.character(nas), utf8())
+ expect_array_roundtrip(as.integer(nas), int32())
+ expect_array_roundtrip(as.numeric(nas), float64())
+ expect_array_roundtrip(as.factor(nas), dictionary(int8(), utf8()))
+ expect_array_roundtrip(as.logical(nas), bool())
+})
+
+test_that("Array supports unordered factors (ARROW-3355)", {
+ # without NA
+ f <- factor(c("itsy", "bitsy", "spider", "spider"))
+ expect_array_roundtrip(f, dictionary(int8(), utf8()))
+
+ # with NA
+ f <- factor(c("itsy", "bitsy", NA, "spider", "spider"))
+ expect_array_roundtrip(f, dictionary(int8(), utf8()))
+})
+
+test_that("Array supports ordered factors (ARROW-3355)", {
+ # without NA
+ f <- ordered(c("itsy", "bitsy", "spider", "spider"))
+ arr_fac <- expect_array_roundtrip(f, dictionary(int8(), utf8(), ordered = TRUE))
+ expect_true(arr_fac$ordered)
+
+ # with NA
+ f <- ordered(c("itsy", "bitsy", NA, "spider", "spider"))
+ expect_array_roundtrip(f, dictionary(int8(), utf8(), ordered = TRUE))
+})
+
+test_that("array supports Date (ARROW-3340)", {
+ d <- Sys.Date() + 1:10
+ expect_array_roundtrip(d, date32())
+
+ d[5] <- NA
+ expect_array_roundtrip(d, date32())
+})
+
+test_that("array supports POSIXct (ARROW-3340)", {
+ times <- lubridate::ymd_hms("2018-10-07 19:04:05") + 1:10
+ expect_array_roundtrip(times, timestamp("us", "UTC"))
+
+ times[5] <- NA
+ expect_array_roundtrip(times, timestamp("us", "UTC"))
+
+ times2 <- lubridate::ymd_hms("2018-10-07 19:04:05", tz = "US/Eastern") + 1:10
+ expect_array_roundtrip(times2, timestamp("us", "US/Eastern"))
+})
+
+test_that("array supports POSIXct without timezone", {
+ # Make sure timezone is not set
+ withr::with_envvar(c(TZ = ""), {
+ times <- strptime("2019-02-03 12:34:56", format = "%Y-%m-%d %H:%M:%S") + 1:10
+ expect_array_roundtrip(times, timestamp("us", ""))
+
+ # Also test the INTSXP code path
+ skip("Ingest_POSIXct only implemented for REALSXP")
+ times_int <- as.integer(times)
+ attributes(times_int) <- attributes(times)
+ expect_array_roundtrip(times_int, timestamp("us", ""))
+ })
+})
+
+test_that("Timezone handling in Arrow roundtrip (ARROW-3543)", {
+ # Write a feather file as that's what the initial bug report used
+ df <- tibble::tibble(
+ no_tz = lubridate::ymd_hms("2018-10-07 19:04:05") + 1:10,
+ yes_tz = lubridate::ymd_hms("2018-10-07 19:04:05", tz = "Pacific/Marquesas") + 1:10
+ )
+ if (!identical(Sys.timezone(), "Pacific/Marquesas")) {
+ # Confirming that the columns are in fact different
+ expect_false(any(df$no_tz == df$yes_tz))
+ }
+ feather_file <- tempfile()
+ on.exit(unlink(feather_file))
+ write_feather(df, feather_file)
+ expect_identical(read_feather(feather_file), df)
+})
+
+test_that("array supports integer64", {
+ x <- bit64::as.integer64(1:10) + MAX_INT
+ expect_array_roundtrip(x, int64())
+
+ x[4] <- NA
+ expect_array_roundtrip(x, int64())
+
+ # all NA int64 (ARROW-3795)
+ all_na <- Array$create(bit64::as.integer64(NA))
+ expect_type_equal(all_na, int64())
+ expect_true(as.vector(is.na(all_na)))
+})
+
+test_that("array supports difftime", {
+ time <- hms::hms(56, 34, 12)
+ expect_array_roundtrip(c(time, time), time32("s"))
+ expect_array_roundtrip(vctrs::vec_c(NA, time), time32("s"))
+})
+
+test_that("support for NaN (ARROW-3615)", {
+ x <- c(1, NA, NaN, -1)
+ y <- Array$create(x)
+ expect_true(y$IsValid(2))
+ expect_equal(y$null_count, 1L)
+})
+
+test_that("is.nan() evalutes to FALSE on NA (for consistency with base R)", {
+ x <- c(1.0, NA, NaN, -1.0)
+ compare_expression(is.nan(.input), x)
+})
+
+test_that("is.nan() evalutes to FALSE on non-floats (for consistency with base R)", {
+ x <- c(1L, 2L, 3L)
+ y <- c("foo", "bar")
+ compare_expression(is.nan(.input), x)
+ compare_expression(is.nan(.input), y)
+})
+
+test_that("is.na() evalutes to TRUE on NaN (for consistency with base R)", {
+ x <- c(1, NA, NaN, -1)
+ compare_expression(is.na(.input), x)
+})
+
+test_that("integer types casts (ARROW-3741)", {
+ # Defining some type groups for use here and in the following tests
+ int_types <- c(int8(), int16(), int32(), int64())
+ uint_types <- c(uint8(), uint16(), uint32(), uint64())
+ float_types <- c(float32(), float64()) # float16() not really supported in C++ yet
+
+ a <- Array$create(c(1:10, NA))
+ for (type in c(int_types, uint_types)) {
+ casted <- a$cast(type)
+ expect_equal(casted$type, type)
+ expect_identical(as.vector(is.na(casted)), c(rep(FALSE, 10), TRUE))
+ }
+})
+
+test_that("integer types cast safety (ARROW-3741, ARROW-5541)", {
+ a <- Array$create(-(1:10))
+ for (type in uint_types) {
+ expect_error(a$cast(type), regexp = "Integer value -1 not in range")
+ expect_error(a$cast(type, safe = FALSE), NA)
+ }
+})
+
+test_that("float types casts (ARROW-3741)", {
+ x <- c(1, 2, 3, NA)
+ a <- Array$create(x)
+ for (type in float_types) {
+ casted <- a$cast(type)
+ expect_equal(casted$type, type)
+ expect_identical(as.vector(is.na(casted)), c(rep(FALSE, 3), TRUE))
+ expect_identical(as.vector(casted), x)
+ }
+})
+
+test_that("cast to half float works", {
+ skip("Need halffloat support: https://issues.apache.org/jira/browse/ARROW-3802")
+ a <- Array$create(1:4)
+ a_f16 <- a$cast(float16())
+ expect_type_equal(a_16$type, float16())
+})
+
+test_that("cast input validation", {
+ a <- Array$create(1:4)
+ expect_error(a$cast("not a type"), "type must be a DataType, not character")
+})
+
+test_that("Array$create() supports the type= argument. conversion from INTSXP and int64 to all int types", {
+ num_int32 <- 12L
+ num_int64 <- bit64::as.integer64(10)
+
+ types <- c(
+ int_types,
+ uint_types,
+ float_types,
+ double() # not actually a type, a base R function but should be alias for float64
+ )
+ for (type in types) {
+ expect_type_equal(Array$create(num_int32, type = type)$type, as_type(type))
+ expect_type_equal(Array$create(num_int64, type = type)$type, as_type(type))
+ }
+
+ # Input validation
+ expect_error(
+ Array$create(5, type = "not a type"),
+ "type must be a DataType, not character"
+ )
+})
+
+test_that("Array$create() aborts on overflow", {
+ expect_error(Array$create(128L, type = int8()))
+ expect_error(Array$create(-129L, type = int8()))
+
+ expect_error(Array$create(256L, type = uint8()))
+ expect_error(Array$create(-1L, type = uint8()))
+
+ expect_error(Array$create(32768L, type = int16()))
+ expect_error(Array$create(-32769L, type = int16()))
+
+ expect_error(Array$create(65536L, type = uint16()))
+ expect_error(Array$create(-1L, type = uint16()))
+
+ expect_error(Array$create(65536L, type = uint16()))
+ expect_error(Array$create(-1L, type = uint16()))
+
+ expect_error(Array$create(bit64::as.integer64(2^31), type = int32()))
+ expect_error(Array$create(bit64::as.integer64(2^32), type = uint32()))
+})
+
+test_that("Array$create() does not convert doubles to integer", {
+ for (type in c(int_types, uint_types)) {
+ a <- Array$create(10, type = type)
+ expect_type_equal(a$type, type)
+ expect_true(as.vector(a) == 10L)
+ }
+})
+
+test_that("Array$create() converts raw vectors to uint8 arrays (ARROW-3794)", {
+ expect_type_equal(Array$create(as.raw(1:10))$type, uint8())
+})
+
+test_that("Array<int8>$as_vector() converts to integer (ARROW-3794)", {
+ i8 <- (-128):127
+ a <- Array$create(i8)$cast(int8())
+ expect_type_equal(a, int8())
+ expect_as_vector(a, i8)
+
+ u8 <- 0:255
+ a <- Array$create(u8)$cast(uint8())
+ expect_type_equal(a, uint8())
+ expect_as_vector(a, u8)
+})
+
+test_that("Arrays of {,u}int{32,64} convert to integer if they can fit", {
+ u32 <- Array$create(1L)$cast(uint32())
+ expect_identical(as.vector(u32), 1L)
+
+ u64 <- Array$create(1L)$cast(uint64())
+ expect_identical(as.vector(u64), 1L)
+
+ i64 <- Array$create(bit64::as.integer64(1:10))
+ expect_identical(as.vector(i64), 1:10)
+})
+
+test_that("Arrays of uint{32,64} convert to numeric if they can't fit integer", {
+ u32 <- Array$create(bit64::as.integer64(1) + MAX_INT)$cast(uint32())
+ expect_identical(as.vector(u32), 1 + MAX_INT)
+
+ u64 <- Array$create(bit64::as.integer64(1) + MAX_INT)$cast(uint64())
+ expect_identical(as.vector(u64), 1 + MAX_INT)
+})
+
+test_that("Array$create() recognise arrow::Array (ARROW-3815)", {
+ a <- Array$create(1:10)
+ expect_equal(a, Array$create(a))
+})
+
+test_that("Array$create() handles data frame -> struct arrays (ARROW-3811)", {
+ df <- tibble::tibble(x = 1:10, y = x / 2, z = letters[1:10])
+ a <- Array$create(df)
+ expect_type_equal(a$type, struct(x = int32(), y = float64(), z = utf8()))
+ expect_as_vector(a, df)
+
+ df <- structure(
+ list(col = structure(list(structure(list(list(structure(1))), class = "inner")), class = "outer")),
+ class = "data.frame", row.names = c(NA, -1L)
+ )
+ a <- Array$create(df)
+ expect_type_equal(a$type, struct(col = list_of(list_of(list_of(float64())))))
+ expect_as_vector(a, df, ignore_attr = TRUE)
+})
+
+test_that("StructArray methods", {
+ df <- tibble::tibble(x = 1:10, y = x / 2, z = letters[1:10])
+ a <- Array$create(df)
+ expect_equal(a$x, Array$create(df$x))
+ expect_equal(a[["x"]], Array$create(df$x))
+ expect_equal(a[[1]], Array$create(df$x))
+ expect_identical(names(a), c("x", "y", "z"))
+ expect_identical(dim(a), c(10L, 3L))
+})
+
+test_that("Array$create() can handle data frame with custom struct type (not inferred)", {
+ df <- tibble::tibble(x = 1:10, y = 1:10)
+ type <- struct(x = float64(), y = int16())
+ a <- Array$create(df, type = type)
+ expect_type_equal(a$type, type)
+
+ type <- struct(x = float64(), y = int16(), z = int32())
+ expect_error(
+ Array$create(df, type = type),
+ regexp = "Number of fields in struct.* incompatible with number of columns in the data frame"
+ )
+
+ type <- struct(y = int16(), x = float64())
+ expect_error(
+ Array$create(df, type = type),
+ regexp = "Field name in position.*does not match the name of the column of the data frame"
+ )
+
+ type <- struct(x = float64(), y = utf8())
+ expect_error(Array$create(df, type = type), regexp = "Invalid")
+})
+
+test_that("Array$create() supports tibble with no columns (ARROW-8354)", {
+ df <- tibble::tibble()
+ expect_equal(Array$create(df)$as_vector(), df)
+})
+
+test_that("Array$create() handles vector -> list arrays (ARROW-7662)", {
+ # Should be able to create an empty list with a type hint.
+ expect_r6_class(Array$create(list(), list_of(bool())), "ListArray")
+
+ # logical
+ expect_array_roundtrip(list(NA), list_of(bool()))
+ expect_array_roundtrip(list(logical(0)), list_of(bool()))
+ expect_array_roundtrip(list(c(TRUE), c(FALSE), c(FALSE, TRUE)), list_of(bool()))
+ expect_array_roundtrip(list(c(TRUE), c(FALSE), NA, logical(0), c(FALSE, NA, TRUE)), list_of(bool()))
+
+ # integer
+ expect_array_roundtrip(list(NA_integer_), list_of(int32()))
+ expect_array_roundtrip(list(integer(0)), list_of(int32()))
+ expect_array_roundtrip(list(1:2, 3:4, 12:18), list_of(int32()))
+ expect_array_roundtrip(list(c(1:2), NA_integer_, integer(0), c(12:18, NA_integer_)), list_of(int32()))
+
+ # numeric
+ expect_array_roundtrip(list(NA_real_), list_of(float64()))
+ expect_array_roundtrip(list(numeric(0)), list_of(float64()))
+ expect_array_roundtrip(list(1, c(2, 3), 4), list_of(float64()))
+ expect_array_roundtrip(list(1, numeric(0), c(2, 3, NA_real_), 4), list_of(float64()))
+
+ # character
+ expect_array_roundtrip(list(NA_character_), list_of(utf8()))
+ expect_array_roundtrip(list(character(0)), list_of(utf8()))
+ expect_array_roundtrip(list("itsy", c("bitsy", "spider"), c("is")), list_of(utf8()))
+ expect_array_roundtrip(list("itsy", character(0), c("bitsy", "spider", NA_character_), c("is")), list_of(utf8()))
+
+ # factor
+ expect_array_roundtrip(list(factor(c("b", "a"), levels = c("a", "b"))), list_of(dictionary(int8(), utf8())))
+ expect_array_roundtrip(list(factor(NA, levels = c("a", "b"))), list_of(dictionary(int8(), utf8())))
+
+ # struct
+ expect_array_roundtrip(
+ list(tibble::tibble(a = integer(0), b = integer(0), c = character(0), d = logical(0))),
+ list_of(struct(a = int32(), b = int32(), c = utf8(), d = bool()))
+ )
+ expect_array_roundtrip(
+ list(tibble::tibble(a = list(integer()))),
+ list_of(struct(a = list_of(int32())))
+ )
+ # degenerated data frame
+ df <- structure(list(x = 1:2, y = 1), class = "data.frame", row.names = 1:2)
+ expect_error(Array$create(list(df)))
+})
+
+test_that("Array$create() handles vector -> large list arrays", {
+ # Should be able to create an empty list with a type hint.
+ expect_r6_class(Array$create(list(), type = large_list_of(bool())), "LargeListArray")
+
+ # logical
+ expect_array_roundtrip(list(NA), large_list_of(bool()), as = large_list_of(bool()))
+ expect_array_roundtrip(list(logical(0)), large_list_of(bool()), as = large_list_of(bool()))
+ expect_array_roundtrip(list(c(TRUE), c(FALSE), c(FALSE, TRUE)), large_list_of(bool()), as = large_list_of(bool()))
+ expect_array_roundtrip(
+ list(c(TRUE), c(FALSE), NA, logical(0), c(FALSE, NA, TRUE)),
+ large_list_of(bool()),
+ as = large_list_of(bool())
+ )
+
+ # integer
+ expect_array_roundtrip(list(NA_integer_), large_list_of(int32()), as = large_list_of(int32()))
+ expect_array_roundtrip(list(integer(0)), large_list_of(int32()), as = large_list_of(int32()))
+ expect_array_roundtrip(list(1:2, 3:4, 12:18), large_list_of(int32()), as = large_list_of(int32()))
+ expect_array_roundtrip(
+ list(c(1:2), NA_integer_, integer(0), c(12:18, NA_integer_)),
+ large_list_of(int32()),
+ as = large_list_of(int32())
+ )
+
+ # numeric
+ expect_array_roundtrip(list(NA_real_), large_list_of(float64()), as = large_list_of(float64()))
+ expect_array_roundtrip(list(numeric(0)), large_list_of(float64()), as = large_list_of(float64()))
+ expect_array_roundtrip(list(1, c(2, 3), 4), large_list_of(float64()), as = large_list_of(float64()))
+ expect_array_roundtrip(
+ list(1, numeric(0), c(2, 3, NA_real_), 4),
+ large_list_of(float64()),
+ as = large_list_of(float64())
+ )
+
+ # character
+ expect_array_roundtrip(list(NA_character_), large_list_of(utf8()), as = large_list_of(utf8()))
+ expect_array_roundtrip(list(character(0)), large_list_of(utf8()), as = large_list_of(utf8()))
+ expect_array_roundtrip(
+ list("itsy", c("bitsy", "spider"), c("is")),
+ large_list_of(utf8()),
+ as = large_list_of(utf8())
+ )
+ expect_array_roundtrip(
+ list("itsy", character(0), c("bitsy", "spider", NA_character_), c("is")),
+ large_list_of(utf8()),
+ as = large_list_of(utf8())
+ )
+
+ # factor
+ expect_array_roundtrip(
+ list(factor(c("b", "a"), levels = c("a", "b"))),
+ large_list_of(dictionary(int8(), utf8())),
+ as = large_list_of(dictionary(int8(), utf8()))
+ )
+ expect_array_roundtrip(
+ list(factor(NA, levels = c("a", "b"))),
+ large_list_of(dictionary(int8(), utf8())),
+ as = large_list_of(dictionary(int8(), utf8()))
+ )
+
+ # struct
+ expect_array_roundtrip(
+ list(tibble::tibble(a = integer(0), b = integer(0), c = character(0), d = logical(0))),
+ large_list_of(struct(a = int32(), b = int32(), c = utf8(), d = bool())),
+ as = large_list_of(struct(a = int32(), b = int32(), c = utf8(), d = bool()))
+ )
+ expect_array_roundtrip(
+ list(tibble::tibble(a = list(integer()))),
+ large_list_of(struct(a = list_of(int32()))),
+ as = large_list_of(struct(a = list_of(int32())))
+ )
+})
+
+test_that("Array$create() handles vector -> fixed size list arrays", {
+ # Should be able to create an empty list with a type hint.
+ expect_r6_class(Array$create(list(), type = fixed_size_list_of(bool(), 20)), "FixedSizeListArray")
+
+ # logical
+ expect_array_roundtrip(list(NA), fixed_size_list_of(bool(), 1L), as = fixed_size_list_of(bool(), 1L))
+ expect_array_roundtrip(
+ list(c(TRUE, FALSE), c(FALSE, TRUE)),
+ fixed_size_list_of(bool(), 2L),
+ as = fixed_size_list_of(bool(), 2L)
+ )
+ expect_array_roundtrip(
+ list(c(TRUE), c(FALSE), NA),
+ fixed_size_list_of(bool(), 1L),
+ as = fixed_size_list_of(bool(), 1L)
+ )
+
+ # integer
+ expect_array_roundtrip(list(NA_integer_), fixed_size_list_of(int32(), 1L), as = fixed_size_list_of(int32(), 1L))
+ expect_array_roundtrip(list(1:2, 3:4, 11:12), fixed_size_list_of(int32(), 2L), as = fixed_size_list_of(int32(), 2L))
+ expect_array_roundtrip(
+ list(c(1:2), c(NA_integer_, 3L)),
+ fixed_size_list_of(int32(), 2L),
+ as = fixed_size_list_of(int32(), 2L)
+ )
+
+ # numeric
+ expect_array_roundtrip(list(NA_real_), fixed_size_list_of(float64(), 1L), as = fixed_size_list_of(float64(), 1L))
+ expect_array_roundtrip(
+ list(c(1, 2), c(2, 3)),
+ fixed_size_list_of(float64(), 2L),
+ as = fixed_size_list_of(float64(), 2L)
+ )
+ expect_array_roundtrip(
+ list(c(1, 2), c(NA_real_, 4)),
+ fixed_size_list_of(float64(), 2L),
+ as = fixed_size_list_of(float64(), 2L)
+ )
+
+ # character
+ expect_array_roundtrip(list(NA_character_), fixed_size_list_of(utf8(), 1L), as = fixed_size_list_of(utf8(), 1L))
+ expect_array_roundtrip(
+ list(c("itsy", "bitsy"), c("spider", "is"), c(NA_character_, NA_character_), c("", "")),
+ fixed_size_list_of(utf8(), 2L),
+ as = fixed_size_list_of(utf8(), 2L)
+ )
+
+ # factor
+ expect_array_roundtrip(
+ list(factor(c("b", "a"), levels = c("a", "b"))),
+ fixed_size_list_of(dictionary(int8(), utf8()), 2L),
+ as = fixed_size_list_of(dictionary(int8(), utf8()), 2L)
+ )
+
+ # struct
+ expect_array_roundtrip(
+ list(tibble::tibble(a = 1L, b = 1L, c = "", d = TRUE)),
+ fixed_size_list_of(struct(a = int32(), b = int32(), c = utf8(), d = bool()), 1L),
+ as = fixed_size_list_of(struct(a = int32(), b = int32(), c = utf8(), d = bool()), 1L)
+ )
+ expect_array_roundtrip(
+ list(tibble::tibble(a = list(1L))),
+ fixed_size_list_of(struct(a = list_of(int32())), 1L),
+ as = fixed_size_list_of(struct(a = list_of(int32())), 1L)
+ )
+ expect_array_roundtrip(
+ list(tibble::tibble(a = list(1L))),
+ list_of(struct(a = fixed_size_list_of(int32(), 1L))),
+ as = list_of(struct(a = fixed_size_list_of(int32(), 1L)))
+ )
+})
+
+test_that("Handling string data with embedded nuls", {
+ raws <- structure(list(
+ as.raw(c(0x70, 0x65, 0x72, 0x73, 0x6f, 0x6e)),
+ as.raw(c(0x77, 0x6f, 0x6d, 0x61, 0x6e)),
+ as.raw(c(0x6d, 0x61, 0x00, 0x6e)), # <-- there's your nul, 0x00
+ as.raw(c(0x66, 0x00, 0x00, 0x61, 0x00, 0x6e)), # multiple nuls
+ as.raw(c(0x63, 0x61, 0x6d, 0x65, 0x72, 0x61)),
+ as.raw(c(0x74, 0x76))
+ ),
+ class = c("arrow_binary", "vctrs_vctr", "list")
+ )
+ expect_error(
+ rawToChar(raws[[3]]),
+ "embedded nul in string: 'ma\\0n'", # See?
+ fixed = TRUE
+ )
+ array_with_nul <- Array$create(raws)$cast(utf8())
+
+ # The behavior of the warnings/errors is slightly different with and without
+ # altrep. Without it (i.e. 3.5.0 and below, the error would trigger immediately
+ # on `as.vector()` where as with it, the error only happens on materialization)
+ skip_if_r_version("3.5.0")
+
+ # no error on conversion, because altrep laziness
+ v <- expect_error(as.vector(array_with_nul), NA)
+
+ # attempting materialization -> error
+
+ expect_error(v[],
+ paste0(
+ "embedded nul in string: 'ma\\0n'; to strip nuls when converting from Arrow ",
+ "to R, set options(arrow.skip_nul = TRUE)"
+ ),
+ fixed = TRUE
+ )
+
+ # also error on materializing v[3]
+ expect_error(v[3],
+ paste0(
+ "embedded nul in string: 'ma\\0n'; to strip nuls when converting from Arrow ",
+ "to R, set options(arrow.skip_nul = TRUE)"
+ ),
+ fixed = TRUE
+ )
+
+ withr::with_options(list(arrow.skip_nul = TRUE), {
+ # no warning yet because altrep laziness
+ v <- as.vector(array_with_nul)
+
+ expect_warning(
+ expect_identical(
+ v[],
+ c("person", "woman", "man", "fan", "camera", "tv")
+ ),
+ "Stripping '\\0' (nul) from character vector",
+ fixed = TRUE
+ )
+
+ v <- as.vector(array_with_nul)
+ expect_warning(
+ expect_identical(v[3], "man"),
+ "Stripping '\\0' (nul) from character vector",
+ fixed = TRUE
+ )
+
+ v <- as.vector(array_with_nul)
+ expect_warning(
+ expect_identical(v[4], "fan"),
+ "Stripping '\\0' (nul) from character vector",
+ fixed = TRUE
+ )
+ })
+})
+
+test_that("Array$create() should have helpful error", {
+ expect_error(Array$create(list(numeric(0)), list_of(bool())), "Expecting a logical vector")
+
+ lgl <- logical(0)
+ int <- integer(0)
+ num <- numeric(0)
+ char <- character(0)
+ expect_error(Array$create(list()), "Requires at least one element to infer")
+ expect_error(Array$create(list(lgl, lgl, int)), "Expecting a logical vector")
+ expect_error(Array$create(list(char, num, char)), "Expecting a character vector")
+})
+
+test_that("Array$View() (ARROW-6542)", {
+ a <- Array$create(1:3)
+ b <- a$View(float32())
+ expect_equal(b$type, float32())
+ expect_equal(length(b), 3L)
+
+ # Input validation
+ expect_error(a$View("not a type"), "type must be a DataType, not character")
+})
+
+test_that("Array$Validate()", {
+ a <- Array$create(1:10)
+ expect_error(a$Validate(), NA)
+})
+
+test_that("is.Array", {
+ a <- Array$create(1, type = int32())
+ expect_true(is.Array(a))
+ expect_true(is.Array(a, "int32"))
+ expect_true(is.Array(a, c("int32", "int16")))
+ expect_false(is.Array(a, "utf8"))
+ expect_true(is.Array(a$View(float32())), "float32")
+ expect_false(is.Array(1))
+ expect_true(is.Array(ChunkedArray$create(1, 2)))
+})
+
+test_that("Array$Take()", {
+ a <- Array$create(10:20)
+ expect_as_vector(a$Take(c(4, 2)), c(14, 12))
+})
+
+test_that("[ method on Array", {
+ vec <- 11:20
+ a <- Array$create(vec)
+ expect_as_vector(a[5:9], vec[5:9])
+ expect_as_vector(a[c(9, 3, 5)], vec[c(9, 3, 5)])
+ expect_as_vector(a[rep(c(TRUE, FALSE), 5)], vec[c(1, 3, 5, 7, 9)])
+ expect_as_vector(a[rep(c(TRUE, FALSE, NA, FALSE, TRUE), 2)], c(11, NA, 15, 16, NA, 20))
+ expect_as_vector(a[-4], vec[-4])
+ expect_as_vector(a[-1], vec[-1])
+})
+
+test_that("[ accepts Arrays and otherwise handles bad input", {
+ vec <- 11:20
+ a <- Array$create(vec)
+ ind <- c(9, 3, 5)
+ expect_error(
+ a[Array$create(ind)],
+ "Cannot extract rows with an Array of type double"
+ )
+ expect_as_vector(a[Array$create(ind - 1, type = int8())], vec[ind])
+ expect_as_vector(a[Array$create(ind - 1, type = uint8())], vec[ind])
+ expect_as_vector(a[ChunkedArray$create(8, 2, 4, type = uint8())], vec[ind])
+
+ filt <- seq_along(vec) %in% ind
+ expect_as_vector(a[Array$create(filt)], vec[filt])
+
+ expect_error(
+ a["string"],
+ "Cannot extract rows with an object of class character"
+ )
+})
+
+test_that("%in% works on dictionary arrays", {
+ a1 <- Array$create(as.factor(c("A", "B", "C")))
+ a2 <- DictionaryArray$create(c(0L, 1L, 2L), c(4.5, 3.2, 1.1))
+ c1 <- Array$create(c(FALSE, TRUE, FALSE))
+ c2 <- Array$create(c(FALSE, FALSE, FALSE))
+ b1 <- Array$create("B")
+ b2 <- Array$create(5.4)
+
+ expect_equal(is_in(a1, b1), c1)
+ expect_equal(is_in(a2, b2), c2)
+ expect_error(is_in(a1, b2))
+})
+
+test_that("[ accepts Expressions", {
+ vec <- 11:20
+ a <- Array$create(vec)
+ b <- Array$create(1:10)
+ expect_as_vector(a[b > 4], vec[5:10])
+})
+
+test_that("Array head/tail", {
+ vec <- 11:20
+ a <- Array$create(vec)
+ expect_as_vector(head(a), head(vec))
+ expect_as_vector(head(a, 4), head(vec, 4))
+ expect_as_vector(head(a, 40), head(vec, 40))
+ expect_as_vector(head(a, -4), head(vec, -4))
+ expect_as_vector(head(a, -40), head(vec, -40))
+ expect_as_vector(tail(a), tail(vec))
+ expect_as_vector(tail(a, 4), tail(vec, 4))
+ expect_as_vector(tail(a, 40), tail(vec, 40))
+ expect_as_vector(tail(a, -40), tail(vec, -40))
+})
+
+test_that("Dictionary array: create from arrays, not factor", {
+ a <- DictionaryArray$create(c(2L, 1L, 1L, 2L, 0L), c(4.5, 3.2, 1.1))
+ expect_equal(a$type, dictionary(int32(), float64()))
+})
+
+test_that("Dictionary array: translate to R when dict isn't string", {
+ a <- DictionaryArray$create(c(2L, 1L, 1L, 2L, 0L), c(4.5, 3.2, 1.1))
+ expect_warning(
+ expect_identical(
+ as.vector(a),
+ factor(c(3, 2, 2, 3, 1), labels = c("4.5", "3.2", "1.1"))
+ )
+ )
+})
+
+test_that("Array$Equals", {
+ vec <- 11:20
+ a <- Array$create(vec)
+ b <- Array$create(vec)
+ d <- Array$create(3:4)
+ expect_equal(a, b)
+ expect_true(a$Equals(b))
+ expect_false(a$Equals(vec))
+ expect_false(a$Equals(d))
+})
+
+test_that("Array$ApproxEquals", {
+ vec <- c(1.0000000000001, 2.400000000000001)
+ a <- Array$create(vec)
+ b <- Array$create(round(vec, 1))
+ expect_false(a$Equals(b))
+ expect_true(a$ApproxEquals(b))
+ expect_false(a$ApproxEquals(vec))
+})
+
+test_that("auto int64 conversion to int can be disabled (ARROW-10093)", {
+ withr::with_options(list(arrow.int64_downcast = FALSE), {
+ a <- Array$create(1:10, int64())
+ expect_true(inherits(a$as_vector(), "integer64"))
+
+ batch <- RecordBatch$create(x = a)
+ expect_true(inherits(as.data.frame(batch)$x, "integer64"))
+
+ tab <- Table$create(x = a)
+ expect_true(inherits(as.data.frame(batch)$x, "integer64"))
+ })
+})
+
+
+test_that("Array to C-interface", {
+ # create a struct array since that's one of the more complicated array types
+ df <- tibble::tibble(x = 1:10, y = x / 2, z = letters[1:10])
+ arr <- Array$create(df)
+
+ # export the array via the C-interface
+ schema_ptr <- allocate_arrow_schema()
+ array_ptr <- allocate_arrow_array()
+ arr$export_to_c(array_ptr, schema_ptr)
+
+ # then import it and check that the roundtripped value is the same
+ circle <- Array$import_from_c(array_ptr, schema_ptr)
+ expect_equal(arr, circle)
+
+ # must clean up the pointers or we leak
+ delete_arrow_schema(schema_ptr)
+ delete_arrow_array(array_ptr)
+})