Fix #1084, create_dataset with Type and Dataspace

Also expand definitions for dataspace with two positional arguments.
Pin Blosc_jll to 1.21.2 if AVX2 is not detected. See Blosc/c-blosc#371

src/datasets.jl

@@ -112,6 +112,13 @@ create_dataset(
     dspace_dims::Int...;
     pv...
 ) = create_dataset(checkvalid(parent), path, datatype(dtype), dataspace(dspace_dims); pv...)
+create_dataset(
+    parent::Union{File,Group},
+    path::Union{AbstractString,Nothing},
+    dtype::Type,
+    dspace::Dataspace;
+    pv...
+) = create_dataset(checkvalid(parent), path, datatype(dtype), dspace; pv...)
 
 # Get the datatype of a dataset
 datatype(dset::Dataset) = Datatype(API.h5d_get_type(checkvalid(dset)), file(dset))

src/dataspaces.jl

@@ -78,13 +78,17 @@ dataspace(n::Nothing) = Dataspace(API.h5s_create(API.H5S_NULL))
 # for giving sizes explicitly
 """
     dataspace(dims::Tuple; max_dims::Tuple=dims)
+    dataspace(dims::Tuple, max_dims::Tuple)
 
 Construct a simple `Dataspace` for the given dimensions `dims`. The maximum
 dimensions `maxdims` specifies the maximum possible size: `-1` can be used to
 indicate unlimited dimensions.
 """
 dataspace(sz::Dims{N}; max_dims::Union{Dims{N},Tuple{}}=()) where {N} =
     _dataspace(sz, max_dims)
+dataspace(sz::Dims{N}, max_dims::Union{Dims{N},Tuple{}}) where {N} =
+    _dataspace(sz, max_dims)
+dataspace(dims::Tuple{Dims{N},Dims{N}}) where {N} = _dataspace(first(dims), last(dims))
 dataspace(sz1::Int, sz2::Int, sz3::Int...; max_dims::Union{Dims,Tuple{}}=()) =
     _dataspace(tuple(sz1, sz2, sz3...), max_dims)
 

test/create_dataset.jl

@@ -0,0 +1,61 @@
+using HDF5
+using Test
+
+"""
+    Test Set create_dataset
+
+Test the combination of arguments to create_dataset.
+"""
+
+@testset "create_dataset" begin
+    mktemp() do fn, io
+        h5open(fn, "w") do h5f
+            h5g = create_group(h5f, "test_group")
+
+            # Arguments
+            #  Test file and group
+            parents = (h5f, h5g)
+            # Test anonymous dattaset, String, and SubString
+            names = (nothing, "test_dataset", @view("test_dataset"[1:4]))
+            # Test primitive, HDF5.Datatype, non-primitive, non-primitive HDF5.Datatype
+            types = (UInt8, datatype(UInt8), Complex{Float32}, datatype(Complex{Float32}))
+            # Test Tuple, HDF5.Dataspace, two tuples (extendible), extendible HDF5.Dataspace
+            spaces = (
+                (3, 4),
+                dataspace((16, 16)),
+                ((4, 4), (8, 8)),
+                dataspace((16, 16); max_dims=(32, 32))
+            )
+            # TODO: test keywords
+
+            # Create argument cross product
+            p = Iterators.product(parents, names, types, spaces)
+
+            for (parent, name, type, space) in p
+                try
+                    # create a chunked dataset since contiguous datasets are not extendible
+                    ds = create_dataset(parent, name, type, space; chunk=(2, 2))
+                    @test datatype(ds) == datatype(type)
+                    @test dataspace(ds) == dataspace(space)
+                    @test isvalid(ds)
+                    close(ds)
+                    if !isnothing(name)
+                        # if it is not an anonymous dataset, try to open it
+                        ds2 = open_dataset(parent, name)
+                        @test isvalid(ds2)
+                        close(ds2)
+                        delete_object(parent, name)
+                    end
+                catch err
+                    throw(ArgumentError("""
+                        Error occured with (
+                            $parent :: $(typeof(parent)),
+                            $name :: $(typeof(name)),
+                            $type :: $(typeof(type)),
+                            $space :: $(typeof(space)))
+                    """))
+                end
+            end
+        end
+    end
+end

test/dataspace.jl

@@ -103,7 +103,11 @@ using Test
     @test dataspace((5,)) == ds_vector
     @test dataspace((5, 7)) == ds_matrix != ds_maxdim
     @test dataspace((5, 7); max_dims=(20, 20)) == ds_maxdim != ds_matrix
+    @test dataspace((5, 7), (20, 20)) == ds_maxdim
+    @test dataspace(((5, 7), (20, 20))) == ds_maxdim
     @test dataspace((1,); max_dims=(-1,)) == ds_unlim
+    @test dataspace((1,), (-1,)) == ds_unlim
+    @test dataspace(((1,), (-1,))) == ds_unlim
     # for ≥ 2 numbers, same as single tuple argument
     @test dataspace(5, 7) == ds_matrix
     @test dataspace(5, 7, 1) == dataspace((5, 7, 1))

test/runtests.jl

@@ -13,10 +13,15 @@ using HDF5
 using Test
 using Pkg
 filter_path = joinpath(dirname(pathof(HDF5)), "..", "filters")
-Pkg.develop(PackageSpec(; path=joinpath(filter_path, "H5Zblosc")))
-Pkg.develop(PackageSpec(; path=joinpath(filter_path, "H5Zbzip2")))
-Pkg.develop(PackageSpec(; path=joinpath(filter_path, "H5Zlz4")))
-Pkg.develop(PackageSpec(; path=joinpath(filter_path, "H5Zzstd")))
+if !Base.BinaryPlatforms.CPUID.test_cpu_feature(Base.BinaryPlatforms.CPUID.JL_X86_avx2)
+    Pkg.add(PackageSpec(name="Blosc_jll", version=v"1.21.2+0"))
+end
+Pkg.develop([
+    PackageSpec(; path=joinpath(filter_path, "H5Zblosc")),
+    PackageSpec(; path=joinpath(filter_path, "H5Zbzip2")),
+    PackageSpec(; path=joinpath(filter_path, "H5Zlz4")),
+    PackageSpec(; path=joinpath(filter_path, "H5Zzstd")),
+])
 @static if VERSION >= v"1.6"
     Pkg.develop(PackageSpec(; path=joinpath(filter_path, "H5Zbitshuffle")))
 end
@@ -29,6 +34,8 @@ end
 @testset "HDF5.jl" begin
     @debug "plain"
     include("plain.jl")
+    @debug "create_dataset"
+    include("create_dataset.jl")
     @debug "strings"
     include("strings.jl")
     @debug "api"