paleolimbot opened a new issue, #141:
URL: https://github.com/apache/arrow-nanoarrow/issues/141
Kindly reported by @kou (thank you!)
```
── Error ('test-as-array.R:466'): as_nanoarrow_array() works for
blob::blob() -> na_large_binary() ──
── Error ('test-convert-array.R:757'): convert to vector works for data
frames nested inside lists ──
── Error ('test-convert-array.R:775'): convert to vector works for lists
nested in data frames ──
── Error ('test-infer-ptype.R:104'): infer_nanoarrow_ptype() infers ptypes
for nested types ──
```
These seem like real errors...they all involve nested lists and
`vctrs::list_of()` in some way and I recall that was a rather difficult
conversion to get right.
I would be interested to see what the output of
`sessioninfo::session_info()` is for the nanoarrow dependencies. Here is what
it looks like for me:
``` r
sessioninfo::session_info(c("blob", "hms", "rlang", "tibble", "vctrs",
"withr"))
#> ─ Session info
───────────────────────────────────────────────────────────────
#> setting value
#> version R version 4.2.2 (2022-10-31)
#> os macOS Monterey 12.5
#> system aarch64, darwin20
#> ui X11
#> language (EN)
#> collate en_US.UTF-8
#> ctype en_US.UTF-8
#> tz America/Halifax
#> date 2023-03-01
#> pandoc 2.19.2 @
/Applications/RStudio.app/Contents/Resources/app/quarto/bin/tools/ (via
rmarkdown)
#>
#> ─ Packages
───────────────────────────────────────────────────────────────────
#> package * version date (UTC) lib source
#> blob 1.2.3 2022-04-10 [1] CRAN (R 4.2.0)
#> cli 3.6.0 2023-01-09 [1] CRAN (R 4.2.0)
#> crayon 1.5.2 2022-09-29 [1] CRAN (R 4.2.0)
#> ellipsis 0.3.2 2021-04-29 [1] CRAN (R 4.2.0)
#> fansi 1.0.4 2023-01-22 [1] CRAN (R 4.2.0)
#> glue 1.6.2 2022-02-24 [1] CRAN (R 4.2.0)
#> hms 1.1.2 2022-08-19 [1] CRAN (R 4.2.0)
#> lifecycle 1.0.3 2022-10-07 [1] CRAN (R 4.2.0)
#> magrittr 2.0.3 2022-03-30 [1] CRAN (R 4.2.0)
#> pillar 1.8.1 2022-08-19 [1] CRAN (R 4.2.0)
#> pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.2.0)
#> rlang 1.0.6 2022-09-24 [1] CRAN (R 4.2.0)
#> tibble 3.1.8 2022-07-22 [1] CRAN (R 4.2.0)
#> utf8 1.2.3 2023-01-31 [1] CRAN (R 4.2.0)
#> vctrs 0.5.2 2023-01-23 [1] CRAN (R 4.2.0)
#> withr 2.5.0 2022-03-03 [1] CRAN (R 4.2.0)
#>
#> [1] /Users/deweydunnington/Library/R/arm64/4.2/library
#> [2] /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/library
#>
#>
──────────────────────────────────────────────────────────────────────────────
```
I will try to replicate in Docker as well.
Detailed output:
<details>
```
R version 4.2.2 Patched (2022-11-10 r83330) -- "Innocent and Trusting"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> # 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.
>
> library(testthat)
> library(nanoarrow)
>
> verbose_test_output <- identical(tolower(Sys.getenv("ARROW_R_DEV",
"false")), "true") ||
+ identical(tolower(Sys.getenv("ARROW_R_VERBOSE_TEST", "false")), "true")
>
> if (verbose_test_output) {
+ reporter <- MultiReporter$new(list(CheckReporter$new(),
LocationReporter$new()))
+ } else {
+ reporter <- check_reporter()
+ }
>
> test_check("nanoarrow", reporter = reporter)
[ FAIL 4 | WARN 0 | SKIP 4 | PASS 963 ]
══ Skipped tests
═══════════════════════════════════════════════════════════════
• On CRAN (4)
══ Failed tests
════════════════════════════════════════════════════════════════
── Error ('test-as-array.R:466'): as_nanoarrow_array() works for
blob::blob() -> na_large_binary() ──
Error: Invalid: invalid R type to convert to binary
Backtrace:
▆
1. ├─nanoarrow::as_nanoarrow_array(...) at test-as-array.R:466:2
2. ├─nanoarrow:::as_nanoarrow_array.blob(...)
3. │ ├─nanoarrow::as_nanoarrow_array(unclass(x), schema = schema)
4. │ └─nanoarrow:::as_nanoarrow_array.default(unclass(x), schema = schema)
5. └─nanoarrow:::as_nanoarrow_array_from_c(`<list>`, `<nnrrw_sc>`)
6. ├─nanoarrow::as_nanoarrow_array(x, schema = schema, .from_c = TRUE)
7. └─nanoarrow:::as_nanoarrow_array.default(x, schema = schema, .from_c
= TRUE)
8. ├─nanoarrow::as_nanoarrow_array(arrow::as_arrow_array(x, type =
arrow::as_data_type(schema)))
9. ├─arrow::as_arrow_array(x, type = arrow::as_data_type(schema))
10. └─arrow:::as_arrow_array.default(x, type =
arrow::as_data_type(schema))
11. └─arrow:::vec_to_Array(x, type)
── Error ('test-convert-array.R:757'): convert to vector works for data
frames nested inside lists ──
Error in `(function (x, ..., type = NULL)
{
UseMethod("as_arrow_array")
})(structure(list(structure(list(x = 1:5), class = "data.frame", row.names =
c(NA,
-5L)), structure(list(x = 6:10), class = "data.frame", row.names = c(NA,
-5L)), structure(list(x = 11:15), class = "data.frame", row.names = c(NA,
-5L))), ptype = structure(list(x = integer(0)), class = "data.frame",
row.names = integer(0)), class = c("vctrs_list_of",
"vctrs_vctr", "list")), type = <environment>, from_vec_to_array = TRUE)`:
Can't create Array<list_of(struct(x = int32()))> from object of type
vctrs_list_of / vctrs_vctr / list
Backtrace:
▆
1. ├─nanoarrow::as_nanoarrow_array(df_in_list) at
test-convert-array.R:757:2
2. ├─nanoarrow:::as_nanoarrow_array.default(df_in_list)
3. ├─nanoarrow:::as_nanoarrow_array_from_c(`<list<df[,1]>>`, `<nnrrw_sc>`)
4. │ ├─nanoarrow::as_nanoarrow_array(x, schema = schema, .from_c = TRUE)
5. │ └─nanoarrow:::as_nanoarrow_array.default(x, schema = schema, .from_c
= TRUE)
6. │ ├─nanoarrow::as_nanoarrow_array(arrow::as_arrow_array(x, type =
arrow::as_data_type(schema)))
7. │ ├─arrow::as_arrow_array(x, type = arrow::as_data_type(schema))
8. │ └─arrow:::as_arrow_array.default(x, type =
arrow::as_data_type(schema))
9. │ └─arrow:::vec_to_Array(x, type)
10. ├─arrow (local) `<fn>`(`<list<df[,1]>>`, type = `<ListType>`,
from_vec_to_array = TRUE)
11. └─arrow:::as_arrow_array.default(`<list<df[,1]>>`, type = `<ListType>`,
from_vec_to_array = TRUE)
12. └─arrow:::stop_cant_convert_array(x, type)
13. └─rlang::abort(...)
── Error ('test-convert-array.R:775'): convert to vector works for lists
nested in data frames ──
Error in `(function (x, ..., type = NULL)
{
UseMethod("as_arrow_array")
})(structure(list(structure(list(x = 1:5), class = "data.frame", row.names =
c(NA,
-5L)), structure(list(x = 6:10), class = "data.frame", row.names = c(NA,
-5L)), structure(list(x = 11:15), class = "data.frame", row.names = c(NA,
-5L))), ptype = structure(list(x = integer(0)), class = "data.frame",
row.names = integer(0)), class = c("vctrs_list_of",
"vctrs_vctr", "list")), type = <environment>, from_vec_to_array = TRUE)`:
Can't create Array<list_of(struct(x = int32()))> from object of type
vctrs_list_of / vctrs_vctr / list
Backtrace:
▆
1. ├─nanoarrow::as_nanoarrow_array(df_in_list_in_df) at
test-convert-array.R:775:2
2. ├─nanoarrow:::as_nanoarrow_array.default(df_in_list_in_df)
3. ├─nanoarrow:::as_nanoarrow_array_from_c(`<list<df[,1]>>`, `<nnrrw_sc>`)
4. │ ├─nanoarrow::as_nanoarrow_array(x, schema = schema, .from_c = TRUE)
5. │ └─nanoarrow:::as_nanoarrow_array.default(x, schema = schema, .from_c
= TRUE)
6. │ ├─nanoarrow::as_nanoarrow_array(arrow::as_arrow_array(x, type =
arrow::as_data_type(schema)))
7. │ ├─arrow::as_arrow_array(x, type = arrow::as_data_type(schema))
8. │ └─arrow:::as_arrow_array.default(x, type =
arrow::as_data_type(schema))
9. │ └─arrow:::vec_to_Array(x, type)
10. ├─arrow (local) `<fn>`(`<list<df[,1]>>`, type = `<ListType>`,
from_vec_to_array = TRUE)
11. └─arrow:::as_arrow_array.default(`<list<df[,1]>>`, type = `<ListType>`,
from_vec_to_array = TRUE)
12. └─arrow:::stop_cant_convert_array(x, type)
13. └─rlang::abort(...)
── Error ('test-infer-ptype.R:104'): infer_nanoarrow_ptype() infers ptypes
for nested types ──
Error in `(function (x, ..., type = NULL)
{
UseMethod("as_arrow_array")
})(structure(list(integer(0)), ptype = integer(0), class =
c("vctrs_list_of",
"vctrs_vctr", "list")), type = <environment>, from_vec_to_array = TRUE)`:
Can't create Array<list_of(int32())> from object of type vctrs_list_of /
vctrs_vctr / list
Backtrace:
▆
1. ├─nanoarrow::as_nanoarrow_array(vctrs::list_of(integer())) at
test-infer-ptype.R:104:2
2. ├─nanoarrow:::as_nanoarrow_array.default(vctrs::list_of(integer()))
3. ├─nanoarrow:::as_nanoarrow_array_from_c(`<list<int>>`, `<nnrrw_sc>`)
4. │ ├─nanoarrow::as_nanoarrow_array(x, schema = schema, .from_c = TRUE)
5. │ └─nanoarrow:::as_nanoarrow_array.default(x, schema = schema, .from_c
= TRUE)
6. │ ├─nanoarrow::as_nanoarrow_array(arrow::as_arrow_array(x, type =
arrow::as_data_type(schema)))
7. │ ├─arrow::as_arrow_array(x, type = arrow::as_data_type(schema))
8. │ └─arrow:::as_arrow_array.default(x, type =
arrow::as_data_type(schema))
9. │ └─arrow:::vec_to_Array(x, type)
10. ├─arrow (local) `<fn>`(`<list<int>>`, type = `<ListType>`,
from_vec_to_array = TRUE)
11. └─arrow:::as_arrow_array.default(`<list<int>>`, type = `<ListType>`,
from_vec_to_array = TRUE)
12. └─arrow:::stop_cant_convert_array(x, type)
13. └─rlang::abort(...)
[ FAIL 4 | WARN 0 | SKIP 4 | PASS 963 ]
Error: Test failures
Execution halted
```
...with full gist at
https://gist.github.com/kou/1194cf28cb8e70fe309d0f07e6f49b3b#file-testthat-rout-fail
</details>
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