PR #34 revision/expansion #3
HelenaLCr-universe.yaml
on: pull_request
R-universe testing
/
Build source pkg and vignettes
7m 43s
R-universe testing
/
Build rOpenSci docs site
0s
R-universe testing
/
Bioconductor Checks
4m 42s
Matrix: R-universe testing / linux
Matrix: R-universe testing / macos
Matrix: R-universe testing / wasm
Matrix: R-universe testing / windows
Annotations
7 errors and 3 notices
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R-universe testing / Build R-oldrel for MacOS
Process completed with exit code 1.
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R-universe testing / Build R-oldrel for Windows
Process completed with exit code 1.
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R-universe testing / Build R-release for Windows:
SpatialData.plot#L0
Check: examples, Result: ERROR
Running examples in 'SpatialData.plot-Ex.R' failed
The error most likely occurred in:
> ### Name: plotLabel
> ### Title: 'SpatialData' label viz.
> ### Aliases: plotLabel
>
> ### ** Examples
>
> x <- system.file("extdata", "blobs.zarr", package="spatialdataR")
> x <- readSpatialData(x)
>
> i <- "blobs_labels"
> p <- plotSpatialData()
>
> # simple binary image
> p + plotLabel(x, i)
>
> # mock up some extra data
> t <- getTable(x, i)
> t$id <- sample(letters, ncol(t))
> table(x) <- t
>
> # coloring by 'colData'
> n <- length(unique(t$id))
>
> # pal <- hcl.colors(n, "Spectral")
> pal_d <- hcl.colors(10, "Spectral")
> p + plotLabel(x, i, c="id", pal=pal_d)
>
> # coloring by 'assay' data
> p + plotLabel(x, i, c="channel_1_sum")
Error in `colour_ramp()`:
! Must provide at least one colour to create a colour ramp
Backtrace:
▆
1. ├─SpatialData.plot::plotLabel(x, i, c = "channel_1_sum")
2. └─SpatialData.plot::plotLabel(x, i, c = "channel_1_sum")
3. └─SpatialData.plot (local) .local(x, ...)
4. └─ggplot2::scale_fill_gradientn(c, colors = pal, na.value = nan)
5. ├─ggplot2::continuous_scale(...)
6. │ └─ggplot2:::validate_fallback_palette(...)
7. └─scales::pal_gradient_n(colours, values, space)
8. └─scales::colour_ramp(colours)
9. └─cli::cli_abort("Must provide at least one colour to create a colour ramp")
10. └─rlang::abort(...)
Execution halted
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R-universe testing / Build R-devel for Windows:
SpatialData.plot#L0
Check: examples, Result: ERROR
Running examples in 'SpatialData.plot-Ex.R' failed
The error most likely occurred in:
> ### Name: plotLabel
> ### Title: 'SpatialData' label viz.
> ### Aliases: plotLabel
>
> ### ** Examples
>
> x <- system.file("extdata", "blobs.zarr", package="spatialdataR")
> x <- readSpatialData(x)
>
> i <- "blobs_labels"
> p <- plotSpatialData()
>
> # simple binary image
> p + plotLabel(x, i)
>
> # mock up some extra data
> t <- getTable(x, i)
> t$id <- sample(letters, ncol(t))
> table(x) <- t
>
> # coloring by 'colData'
> n <- length(unique(t$id))
>
> # pal <- hcl.colors(n, "Spectral")
> pal_d <- hcl.colors(10, "Spectral")
> p + plotLabel(x, i, c="id", pal=pal_d)
>
> # coloring by 'assay' data
> p + plotLabel(x, i, c="channel_1_sum")
Error in `colour_ramp()`:
! Must provide at least one colour to create a colour ramp
Backtrace:
▆
1. ├─SpatialData.plot::plotLabel(x, i, c = "channel_1_sum")
2. └─SpatialData.plot::plotLabel(x, i, c = "channel_1_sum")
3. └─SpatialData.plot (local) .local(x, ...)
4. └─ggplot2::scale_fill_gradientn(c, colors = pal, na.value = nan)
5. ├─ggplot2::continuous_scale(...)
6. │ └─ggplot2:::validate_fallback_palette(...)
7. └─scales::pal_gradient_n(colours, values, space)
8. └─scales::colour_ramp(colours)
9. └─cli::cli_abort("Must provide at least one colour to create a colour ramp")
10. └─rlang::abort(...)
Execution halted
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R-universe testing / Build R-release for MacOS:
SpatialData.plot#L0
Check: examples, Result: ERROR
Running examples in ‘SpatialData.plot-Ex.R’ failed
The error most likely occurred in:
> ### Name: plotLabel
> ### Title: 'SpatialData' label viz.
> ### Aliases: plotLabel
>
> ### ** Examples
>
> x <- system.file("extdata", "blobs.zarr", package="spatialdataR")
> x <- readSpatialData(x)
>
> i <- "blobs_labels"
> p <- plotSpatialData()
>
> # simple binary image
> p + plotLabel(x, i)
>
> # mock up some extra data
> t <- getTable(x, i)
> t$id <- sample(letters, ncol(t))
> table(x) <- t
>
> # coloring by 'colData'
> n <- length(unique(t$id))
>
> # pal <- hcl.colors(n, "Spectral")
> pal_d <- hcl.colors(10, "Spectral")
> p + plotLabel(x, i, c="id", pal=pal_d)
>
> # coloring by 'assay' data
> p + plotLabel(x, i, c="channel_1_sum")
Error in `colour_ramp()`:
! Must provide at least one colour to create a colour ramp
Backtrace:
▆
1. ├─SpatialData.plot::plotLabel(x, i, c = "channel_1_sum")
2. └─SpatialData.plot::plotLabel(x, i, c = "channel_1_sum")
3. └─SpatialData.plot (local) .local(x, ...)
4. └─ggplot2::scale_fill_gradientn(c, colors = pal, na.value = nan)
5. ├─ggplot2::continuous_scale(...)
6. │ └─ggplot2:::validate_fallback_palette(...)
7. └─scales::pal_gradient_n(colours, values, space)
8. └─scales::colour_ramp(colours)
9. └─cli::cli_abort("Must provide at least one colour to create a colour ramp")
10. └─rlang::abort(...)
Execution halted
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R-universe testing / Build R-devel for Linux:
SpatialData.plot#L0
Check: examples, Result: ERROR
Running examples in ‘SpatialData.plot-Ex.R’ failed
The error most likely occurred in:
> ### Name: plotLabel
> ### Title: 'SpatialData' label viz.
> ### Aliases: plotLabel
>
> ### ** Examples
>
> x <- system.file("extdata", "blobs.zarr", package="spatialdataR")
> x <- readSpatialData(x)
>
> i <- "blobs_labels"
> p <- plotSpatialData()
>
> # simple binary image
> p + plotLabel(x, i)
>
> # mock up some extra data
> t <- getTable(x, i)
> t$id <- sample(letters, ncol(t))
> table(x) <- t
>
> # coloring by 'colData'
> n <- length(unique(t$id))
>
> # pal <- hcl.colors(n, "Spectral")
> pal_d <- hcl.colors(10, "Spectral")
> p + plotLabel(x, i, c="id", pal=pal_d)
>
> # coloring by 'assay' data
> p + plotLabel(x, i, c="channel_1_sum")
Error in `colour_ramp()`:
! Must provide at least one colour to create a colour ramp
Backtrace:
▆
1. ├─SpatialData.plot::plotLabel(x, i, c = "channel_1_sum")
2. └─SpatialData.plot::plotLabel(x, i, c = "channel_1_sum")
3. └─SpatialData.plot (local) .local(x, ...)
4. └─ggplot2::scale_fill_gradientn(c, colors = pal, na.value = nan)
5. ├─ggplot2::continuous_scale(...)
6. │ └─ggplot2:::validate_fallback_palette(...)
7. └─scales::pal_gradient_n(colours, values, space)
8. └─scales::colour_ramp(colours)
9. └─cli::cli_abort("Must provide at least one colour to create a colour ramp")
10. └─rlang::abort(...)
Execution halted
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R-universe testing / Build R-release for Linux:
SpatialData.plot#L0
Check: examples, Result: ERROR
Running examples in ‘SpatialData.plot-Ex.R’ failed
The error most likely occurred in:
> ### Name: plotLabel
> ### Title: 'SpatialData' label viz.
> ### Aliases: plotLabel
>
> ### ** Examples
>
> x <- system.file("extdata", "blobs.zarr", package="spatialdataR")
> x <- readSpatialData(x)
>
> i <- "blobs_labels"
> p <- plotSpatialData()
>
> # simple binary image
> p + plotLabel(x, i)
>
> # mock up some extra data
> t <- getTable(x, i)
> t$id <- sample(letters, ncol(t))
> table(x) <- t
>
> # coloring by 'colData'
> n <- length(unique(t$id))
>
> # pal <- hcl.colors(n, "Spectral")
> pal_d <- hcl.colors(10, "Spectral")
> p + plotLabel(x, i, c="id", pal=pal_d)
>
> # coloring by 'assay' data
> p + plotLabel(x, i, c="channel_1_sum")
Error in `colour_ramp()`:
! Must provide at least one colour to create a colour ramp
Backtrace:
▆
1. ├─SpatialData.plot::plotLabel(x, i, c = "channel_1_sum")
2. └─SpatialData.plot::plotLabel(x, i, c = "channel_1_sum")
3. └─SpatialData.plot (local) .local(x, ...)
4. └─ggplot2::scale_fill_gradientn(c, colors = pal, na.value = nan)
5. ├─ggplot2::continuous_scale(...)
6. │ └─ggplot2:::validate_fallback_palette(...)
7. └─scales::pal_gradient_n(colours, values, space)
8. └─scales::colour_ramp(colours)
9. └─cli::cli_abort("Must provide at least one colour to create a colour ramp")
10. └─rlang::abort(...)
Execution halted
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R-universe testing / Build R-oldrel for Windows
NOTICE: windows-2025 requests are being redirected to windows-2025-vs2026 by June 15, 2026
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R-universe testing / Build R-release for Windows
NOTICE: windows-2025 requests are being redirected to windows-2025-vs2026 by June 15, 2026
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R-universe testing / Build R-devel for Windows
NOTICE: windows-2025 requests are being redirected to windows-2025-vs2026 by June 15, 2026
|
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