StepRangeLen doesn't work as variable #224
Description
Describe the bug
A StepRangeLen doesn't work as a variable. You need to convert it to an Array with collect(). [Sorry. I looked at the error message, but I don't know internals of julia well enough to understand what unsafe_convert() is.]
To Reproduce
using Dates
using NCDatasets
# create a sample file
tax = DateTime(2020,1,1):Dates.Day(1):DateTime(2020,1,4)
var = 10.0:10.0:40.0
#var = collect(10.0:10.0:40.0)
NCDataset("tmp.nc", "c") do ds
defDim(ds, "time", Inf)
defVar(ds, "time", tax, ("time",))
defVar(ds, "var", var, ("time",))
endExpected behavior
I hope ranges will be treated equally to vectors.
Environment
- operating system: macOS 13.5
- Julia version: 1.9.2, from juliaup.
- Output of the julia command
versioninfo()
Julia Version 1.9.2
Commit e4ee485e909 (2023-07-05 09:39 UTC)
Platform Info:
OS: macOS (arm64-apple-darwin22.4.0)
CPU: 8 × Apple M1
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-14.0.6 (ORCJIT, apple-m1)
Threads: 1 on 4 virtual cores
- NCDatasets version: v0.12.17
- Output of
using Pkg; Pkg.status(mode=PKGMODE_MANIFEST): See below.
Full output
Error message:
ERROR: LoadError: conversion to pointer not defined for StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}
Stacktrace:
[1] error(s::String)
@ Base ./error.jl:35
[2] unsafe_convert(#unused#::Type{Ptr{Float64}}, a::StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64})
@ Base ./pointer.jl:67
[3] unsafe_convert(#unused#::Type{Ptr{Nothing}}, a::StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64})
@ Base ./pointer.jl:66
[4] nc_put_vara(ncid::Int32, varid::Int32, startp::Vector{Float64}, countp::Vector{Int64}, op::StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64})
@ NCDatasets ~/.julia/packages/NCDatasets/st9Jz/src/netcdf_c.jl:851
[5] nc_put_var(ncid::Int32, varid::Int32, data::StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64})
@ NCDatasets ~/.julia/packages/NCDatasets/st9Jz/src/netcdf_c.jl:767
[6] setindex!
@ ~/.julia/packages/NCDatasets/st9Jz/src/variable.jl:374 [inlined]
[7] setindex!(v::CommonDataModel.CFVariable{Float64, 1, NCDatasets.Variable{Float64, 1, NCDataset{Nothing}}, NCDatasets.Attributes{NCDataset{Nothing}}, NamedTuple{(:fillvalue, :missing_values, :scale_factor, :add_offset, :calendar, :time_origin, :time_factor), Tuple{Nothing, Tuple{}, Vararg{Nothing, 5}}}}, data::StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, indexes::Colon)
@ CommonDataModel ~/.julia/packages/CommonDataModel/RSBF3/src/cfvariable.jl:418
[8] _defVar(ds::NCDataset{Nothing}, name::String, data::StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, nctype::Type, dimnames::Tuple{String}; attrib::Vector{Any}, kwargs::Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
@ NCDatasets ~/.julia/packages/NCDatasets/st9Jz/src/cfvariable.jl:235
[9] _defVar
@ ~/.julia/packages/NCDatasets/st9Jz/src/cfvariable.jl:186 [inlined]
[10] #defVar#39
@ ~/.julia/packages/NCDatasets/st9Jz/src/cfvariable.jl:183 [inlined]
[11] defVar(ds::NCDataset{Nothing}, name::String, data::StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, dimnames::Tuple{String})
@ NCDatasets ~/.julia/packages/NCDatasets/st9Jz/src/cfvariable.jl:176
[12] (::var"#3#4")(ds::NCDataset{Nothing})
@ Main ~/Dropbox/jwk/try-netcdf-opendim.jl:12
[13] NCDataset(::var"#3#4", ::String, ::Vararg{String}; kwargs::Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
@ NCDatasets ~/.julia/packages/NCDatasets/st9Jz/src/dataset.jl:255
[14] NCDataset(::Function, ::String, ::Vararg{String})
@ NCDatasets ~/.julia/packages/NCDatasets/st9Jz/src/dataset.jl:252
[15] top-level scope
@ ~/Dropbox/jwk/try-netcdf-opendim.jl:9
[16] include(fname::String)
@ Base.MainInclude ./client.jl:478
[17] top-level scope
@ REPL[1]:1
in expression starting at /Users/furue/Dropbox/jwk/try-netcdf-opendim.jl:9
status(mode=PKGMODE_MANIFEST)
```Status ~/.julia/environments/v1.9/Manifest.toml
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[c3fe647b] AbstractAlgebra v0.31.1
[621f4979] AbstractFFTs v1.5.0
[1520ce14] AbstractTrees v0.4.4
[79e6a3ab] Adapt v3.6.2
[4fba245c] ArrayInterface v7.4.11
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[49dc2e85] Calculus v0.5.1
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⌃ [d8a4904e] MutableArithmetics v1.3.0
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Info Packages marked with ⌃ and ⌅ have new versions available, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m`