CRAN Package Check Results for Package nestedscales

Last updated on 2026-11-09 01:52:23 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.2.0 9.63 139.11 148.74 OK
r-devel-linux-x86_64-debian-gcc 0.2.0 6.28 100.60 106.88 ERROR
r-devel-linux-x86_64-fedora-clang 0.2.0 OK
r-devel-linux-x86_64-fedora-gcc 0.2.0 94.35 OK
r-devel-windows-x86_64 0.2.0 14.00 159.00 173.00 OK
r-patched-linux-x86_64 0.2.0 OK
r-release-linux-x86_64 0.2.0 7.54 131.10 138.64 OK
r-release-macos-arm64 0.2.0 2.00 43.00 45.00 OK
r-release-macos-x86_64 0.2.0 7.00 155.00 162.00 OK
r-release-windows-x86_64 0.2.0 19.00 178.00 197.00 OK
r-oldrel-macos-arm64 0.2.0 3.00 51.00 54.00 OK
r-oldrel-macos-x86_64 0.2.0 6.00 138.00 144.00 OK
r-oldrel-windows-x86_64 0.2.0 16.00 192.00 208.00 OK

Check Details

Version: 0.2.0
Check: examples
Result: ERROR Running examples in ‘nestedscales-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: write_scale_dataset > ### Title: Write data and the scales that index it to one folder > ### Aliases: write_scale_dataset > > ### ** Examples > > p <- scale_product(a = scale_example(), b = scale_example2()) > d <- merge( + data.frame(unit = c("U1", "U2")), + data.frame(period = c("p1", "p2")) + ) > d$v <- 1:4 > dir <- file.path(tempdir(), "store") > if (requireNamespace("arrow", quietly = TRUE)) { + write_scale_dataset(d, p, dir, overwrite = TRUE) + ds <- open_scale_dataset(dir) + ds + } Warning: compression codec 'zstd' is unavailable; writing uncompressed Warning in write_ipc_impl(x = x, sink = sink, version = version, chunk_size = chunk_size, : write_feather(version = 2) has been superseded by write_ipc_file(). Warning in write_ipc_impl(x = x, sink = sink, version = version, chunk_size = chunk_size, : write_feather(version = 2) has been superseded by write_ipc_file(). Warning in (function (dataset, path, format = c("parquet", "feather", "arrow", : `format = "feather"` is deprecated; use `format = "ipc"` instead. Error in dataset___HivePartitioning(schm, null_fallback = null_fallback_or_default(null_fallback), : Cannot call dataset___HivePartitioning(). See https://arrow.apache.org/docs/r/articles/install.html for help installing Arrow C++ libraries. Calls: write_scale_dataset ... <Anonymous> -> <Anonymous> -> dataset___HivePartitioning Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.2.0
Check: tests
Result: ERROR Running ‘testthat.R’ [35s/49s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(nestedscales) > > test_check("nestedscales") Saving _problems/test-residuals-68.R Saving _problems/test-storage-111.R Saving _problems/test-storage-132.R Saving _problems/test-storage-142.R Saving _problems/test-storage-166.R Saving _problems/test-storage-193.R Saving _problems/test-storage-206.R Saving _problems/test-storage-224.R Saving _problems/test-storage-271.R [ FAIL 9 | WARN 46 | SKIP 9 | PASS 1182 ] ══ Skipped tests (9) ═══════════════════════════════════════════════════════════ • tier 'check' < required 'fast' (set SCALES_TEST_TIER=fast to run) (1): 'test-convert.R:123:3' • tier 'check' < required 'full' (set SCALES_TEST_TIER=full to run) (6): 'test-backends.R:24:3', 'test-backends.R:75:3', 'test-efficiency.R:37:3', 'test-efficiency.R:113:3', 'test-efficiency.R:258:3', 'test-product-flagship.R:191:3' • {geoscales} is not installed (1): 'test-differential.R:16:1' • {timescales} is not installed (1): 'test-exports.R:14:5' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-residuals.R:68:3'): residuals survive the dataset store round trip ── Error in `dataset___HivePartitioning(schm, null_fallback = null_fallback_or_default(null_fallback), segment_encoding = segment_encoding)`: Cannot call dataset___HivePartitioning(). See https://arrow.apache.org/docs/r/articles/install.html for help installing Arrow C++ libraries. Backtrace: ▆ 1. └─nestedscales::write_scale_dataset(.gdp(), s, file.path(dir, "s")) at test-residuals.R:68:3 2. ├─base::do.call(arrow::write_dataset, args) 3. └─arrow (local) `<fn>`(...) 4. └─HivePartitioning$create(partition_schema, null_fallback = list(...)$null_fallback) 5. └─arrow:::dataset___HivePartitioning(...) ── Error ('test-storage.R:111:3'): a product dataset round-trips through the store ── Error in `dataset___HivePartitioning(schm, null_fallback = null_fallback_or_default(null_fallback), segment_encoding = segment_encoding)`: Cannot call dataset___HivePartitioning(). See https://arrow.apache.org/docs/r/articles/install.html for help installing Arrow C++ libraries. Backtrace: ▆ 1. └─nestedscales::write_scale_dataset(d, p, path) at test-storage.R:111:3 2. ├─base::do.call(arrow::write_dataset, args) 3. └─arrow (local) `<fn>`(...) 4. └─HivePartitioning$create(partition_schema, null_fallback = list(...)$null_fallback) 5. └─arrow:::dataset___HivePartitioning(...) ── Error ('test-storage.R:129:3'): an unavailable codec falls back to uncompressed IPC ── Error in `dataset___HivePartitioning(schm, null_fallback = null_fallback_or_default(null_fallback), segment_encoding = segment_encoding)`: Cannot call dataset___HivePartitioning(). See https://arrow.apache.org/docs/r/articles/install.html for help installing Arrow C++ libraries. Backtrace: ▆ 1. ├─testthat::expect_warning(...) at test-storage.R:129:3 2. │ └─testthat:::expect_condition_matching_(...) 3. │ └─testthat:::quasi_capture(...) 4. │ ├─testthat (local) .capture(...) 5. │ │ └─base::withCallingHandlers(...) 6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo)) 7. └─nestedscales::write_scale_dataset(.sd(), .sp(), path, compression = "not-a-codec") 8. ├─base::do.call(arrow::write_dataset, args) 9. └─arrow (local) `<fn>`(...) 10. └─HivePartitioning$create(partition_schema, null_fallback = list(...)$null_fallback) 11. └─arrow:::dataset___HivePartitioning(...) ── Error ('test-storage.R:142:3'): the reopened scales are the same scales ───── Error in `dataset___HivePartitioning(schm, null_fallback = null_fallback_or_default(null_fallback), segment_encoding = segment_encoding)`: Cannot call dataset___HivePartitioning(). See https://arrow.apache.org/docs/r/articles/install.html for help installing Arrow C++ libraries. Backtrace: ▆ 1. └─nestedscales::write_scale_dataset(.sd(), p, file.path(dir, "s")) at test-storage.R:142:3 2. ├─base::do.call(arrow::write_dataset, args) 3. └─arrow (local) `<fn>`(...) 4. └─HivePartitioning$create(partition_schema, null_fallback = list(...)$null_fallback) 5. └─arrow:::dataset___HivePartitioning(...) ── Error ('test-storage.R:166:3'): a stored dataset can be recast without re-declaring anything ── Error in `dataset___HivePartitioning(schm, null_fallback = null_fallback_or_default(null_fallback), segment_encoding = segment_encoding)`: Cannot call dataset___HivePartitioning(). See https://arrow.apache.org/docs/r/articles/install.html for help installing Arrow C++ libraries. Backtrace: ▆ 1. └─nestedscales::write_scale_dataset(d, p, file.path(dir, "s")) at test-storage.R:166:3 2. ├─base::do.call(arrow::write_dataset, args) 3. └─arrow (local) `<fn>`(...) 4. └─HivePartitioning$create(partition_schema, null_fallback = list(...)$null_fallback) 5. └─arrow:::dataset___HivePartitioning(...) ── Error ('test-storage.R:193:3'): a single NestedScale round-trips too ──────── Error in `dataset___HivePartitioning(schm, null_fallback = null_fallback_or_default(null_fallback), segment_encoding = segment_encoding)`: Cannot call dataset___HivePartitioning(). See https://arrow.apache.org/docs/r/articles/install.html for help installing Arrow C++ libraries. Backtrace: ▆ 1. └─nestedscales::write_scale_dataset(d, s, file.path(dir, "s")) at test-storage.R:193:3 2. ├─base::do.call(arrow::write_dataset, args) 3. └─arrow (local) `<fn>`(...) 4. └─HivePartitioning$create(partition_schema, null_fallback = list(...)$null_fallback) 5. └─arrow:::dataset___HivePartitioning(...) ── Error ('test-storage.R:206:3'): partitioning writes a pruned layout ───────── Error in `dataset___HivePartitioning(schm, null_fallback = null_fallback_or_default(null_fallback), segment_encoding = segment_encoding)`: Cannot call dataset___HivePartitioning(). See https://arrow.apache.org/docs/r/articles/install.html for help installing Arrow C++ libraries. Backtrace: ▆ 1. └─nestedscales::write_scale_dataset(...) at test-storage.R:206:3 2. ├─base::do.call(arrow::write_dataset, args) 3. └─arrow (local) `<fn>`(...) 4. └─HivePartitioning$create(partition_schema, null_fallback = list(...)$null_fallback) 5. └─arrow:::dataset___HivePartitioning(...) ── Error ('test-storage.R:224:3'): the store refuses to clobber and to write junk ── Error in `dataset___HivePartitioning(schm, null_fallback = null_fallback_or_default(null_fallback), segment_encoding = segment_encoding)`: Cannot call dataset___HivePartitioning(). See https://arrow.apache.org/docs/r/articles/install.html for help installing Arrow C++ libraries. Backtrace: ▆ 1. └─nestedscales::write_scale_dataset(.sd(), p, path) at test-storage.R:224:3 2. ├─base::do.call(arrow::write_dataset, args) 3. └─arrow (local) `<fn>`(...) 4. └─HivePartitioning$create(partition_schema, null_fallback = list(...)$null_fallback) 5. └─arrow:::dataset___HivePartitioning(...) ── Error ('test-storage.R:271:3'): print() describes the store ───────────────── Error in `dataset___HivePartitioning(schm, null_fallback = null_fallback_or_default(null_fallback), segment_encoding = segment_encoding)`: Cannot call dataset___HivePartitioning(). See https://arrow.apache.org/docs/r/articles/install.html for help installing Arrow C++ libraries. Backtrace: ▆ 1. └─nestedscales::write_scale_dataset(.sd(), p, file.path(dir, "s")) at test-storage.R:271:3 2. ├─base::do.call(arrow::write_dataset, args) 3. └─arrow (local) `<fn>`(...) 4. └─HivePartitioning$create(partition_schema, null_fallback = list(...)$null_fallback) 5. └─arrow:::dataset___HivePartitioning(...) [ FAIL 9 | WARN 46 | SKIP 9 | PASS 1182 ] Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-debian-gcc