paleolimbot opened a new issue, #131:
URL: https://github.com/apache/arrow-nanoarrow/issues/131
...almost certainly because of `stringsAsFactors`:
```
Failed to create bus connection: No such file or directory
[ FAIL 11 | WARN 1 | SKIP 40 | PASS 768 ]
══ Skipped tests
═══════════════════════════════════════════════════════════════
• arrow cannot be loaded (40)
══ Failed tests
════════════════════════════════════════════════════════════════
── Failure ('test-altrep.R:80'): nanoarrow_altrep_chr_force_materialize()
forces materialization ──
nanoarrow_altrep_force_materialize(x_altrep_df, recursive = TRUE) (`actual`)
not identical to 1L (`expected`).
`actual`: 0
`expected`: 1
── Failure ('test-array.R:108'): schemaless array list interface works for
nested types ──
array$children[[2]]$buffers has length 2, not length 3.
── Failure ('test-array.R:214'): array list interface works for nested types
───
array$children$b$buffers[[2]] inherits from
'nanoarrow_buffer_data_int32'/'nanoarrow_buffer' not
'nanoarrow_buffer_data_offset32'.
── Failure ('test-array.R:219'): array list interface works for nested types
───
info_recursive$children$b$buffers[[2]] inherits from
'nanoarrow_buffer_data_int32'/'nanoarrow_buffer' not
'nanoarrow_buffer_data_offset32'.
── Error ('test-convert-array-stream.R:105'): convert array stream works for
struct-style vectors ──
Error in `infer_nanoarrow_ptype(schema)`: Can't infer R vector type for
`zone` <dictionary(int32)<string>>
Backtrace:
▆
1. ├─testthat::expect_identical(convert_array_stream(stream), raw_posixlt)
at test-convert-array-stream.R:105:2
2. │ └─testthat::quasi_label(enquo(object), label, arg = "object")
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─nanoarrow::convert_array_stream(stream)
5. │ └─nanoarrow::infer_nanoarrow_ptype(schema)
6. └─nanoarrow:::infer_ptype_other(`<nnrrw_sc>`)
7. └─nanoarrow:::stop_cant_infer_ptype(schema, n = -1)
── Error ('test-convert-array.R:67'): convert to vector works for data.frame
───
Error in `convert_array.default(array, NULL)`: Can't infer R vector type for
`b` <dictionary(int32)<string>>
Backtrace:
▆
1. ├─testthat::expect_identical(convert_array(array, NULL), df) at
test-convert-array.R:67:2
2. │ └─testthat::quasi_label(enquo(object), label, arg = "object")
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─nanoarrow::convert_array(array, NULL)
5. ├─nanoarrow:::convert_array.default(array, NULL)
6. └─nanoarrow:::infer_ptype_other(`<nnrrw_sc>`)
7. └─nanoarrow:::stop_cant_infer_ptype(schema, n = -1)
── Error ('test-convert-array.R:84'): convert to vector works for
partial_frame ──
Error in `infer_nanoarrow_ptype(array)`: Can't infer R vector type for `b`
<dictionary(int32)<string>>
Backtrace:
▆
1. ├─testthat::expect_identical(...) at test-convert-array.R:84:2
2. │ └─testthat::quasi_label(enquo(object), label, arg = "object")
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─nanoarrow::convert_array(array, vctrs::partial_frame())
5. ├─nanoarrow:::convert_array.vctrs_partial_frame(array,
vctrs::partial_frame())
6. │ └─nanoarrow::infer_nanoarrow_ptype(array)
7. └─nanoarrow:::infer_ptype_other(`<nnrrw_sc>`)
8. └─nanoarrow:::stop_cant_infer_ptype(schema, n = -1)
── Error ('test-convert-array.R:112'): convert to vector works for tibble
──────
Error in `convert_array.default(array, tibble::tibble(a = integer(), b =
character()))`: Conversion to dictionary-encoded array is not supported
Backtrace:
▆
1. ├─testthat::expect_identical(...) at test-convert-array.R:112:2
2. │ └─testthat::quasi_label(enquo(object), label, arg = "object")
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─nanoarrow::convert_array(...)
5. └─nanoarrow:::convert_array.default(...)
── Failure ('test-convert-array.R:136'): convert to vector works for
struct-style vectors ──
convert_array(array) (`actual`) not identical to
as.data.frame(unclass(as.POSIXlt("2021-01-01", tz = "America/Halifax")))
(`expected`).
`actual$zone` is a character vector ('AST')
`expected$zone` is an S3 object of class <factor>, an integer vector
── Error ('test-infer-ptype.R:65'): infer_nanoarrow_ptype() works for basic
types ──
Error in `infer_nanoarrow_ptype(as_nanoarrow_array(data.frame(x =
character())))`: Can't infer R vector type for `x` <dictionary(int32)<string>>
Backtrace:
▆
1. ├─testthat::expect_identical(...) at test-infer-ptype.R:65:2
2. │ └─testthat::quasi_label(enquo(object), label, arg = "object")
3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
4. ├─nanoarrow::infer_nanoarrow_ptype(as_nanoarrow_array(data.frame(x =
character())))
5. └─nanoarrow:::infer_ptype_other(`<nnrrw_sc>`)
6. └─nanoarrow:::stop_cant_infer_ptype(schema, n = -1)
── Error ('test-util.R:57'): vector fuzzers work
───────────────────────────────
Error in `FUN(X[[i]], ...)`: Don't know how to generate vector for type
factor
Backtrace:
▆
1. └─nanoarrow:::vec_gen(ptype, n = 123) at test-util.R:57:2
2. ├─nanoarrow:::new_data_frame(...)
3. │ └─base::structure(x, row.names = c(NA, nrow), class = "data.frame")
4. └─base::lapply(...)
5. └─nanoarrow (local) FUN(X[[i]], ...)
[ FAIL 11 | WARN 1 | SKIP 40 | PASS 768 ]
Error: Test failures
Execution halted
```
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
