[BlockSparseArrays] Fix initializing blocks using broadcasting

[mtfishman]

This PR fixes initializing blocks using broadcasting:

julia> using BlockArrays: Block

julia> using NDTensors.BlockSparseArrays: BlockSparseArray

julia> a = BlockSparseArray{Float64}([2, 3], [2, 3])
typeof(axes) = Tuple{BlockArrays.BlockedOneTo{Int64, Vector{Int64}}, BlockArrays.BlockedOneTo{Int64, Vector{Int64}}}

Warning: To temporarily circumvent a bug in printing BlockSparseArrays with mixtures of dual and non-dual axes, the types of the dual axes printed below might not be accurate. The types printed above this message are the correct ones.

2×2-blocked 5×5 BlockSparseArray{Float64, 2, Matrix{Float64}, NDTensors.SparseArrayDOKs.SparseArrayDOK{Matrix{Float64}, 2, NDTensors.BlockSparseArrays.BlockZero{Tuple{BlockArrays.BlockedOneTo{Int64, Vector{Int64}}, BlockArrays.BlockedOneTo{Int64, Vector{Int64}}}}}, Tuple{BlockArrays.BlockedOneTo{Int64, Vector{Int64}}, BlockArrays.BlockedOneTo{Int64, Vector{Int64}}}}:
 0.0  0.0  │  0.0  0.0  0.0
 0.0  0.0  │  0.0  0.0  0.0
 ──────────┼───────────────
 0.0  0.0  │  0.0  0.0  0.0
 0.0  0.0  │  0.0  0.0  0.0
 0.0  0.0  │  0.0  0.0  0.0

julia> a[Block(1, 2)] .= 2
2×3 view(::BlockSparseArray{Float64, 2, Matrix{Float64}, NDTensors.SparseArrayDOKs.SparseArrayDOK{Matrix{Float64}, 2, NDTensors.BlockSparseArrays.BlockZero{Tuple{BlockArrays.BlockedOneTo{Int64, Vector{Int64}}, BlockArrays.BlockedOneTo{Int64, Vector{Int64}}}}}, Tuple{BlockArrays.BlockedOneTo{Int64, Vector{Int64}}, BlockArrays.BlockedOneTo{Int64, Vector{Int64}}}}, BlockSlice(Block(1),1:2), BlockSlice(Block(2),3:5)) with eltype Float64:
 2.0  2.0  2.0
 2.0  2.0  2.0

julia> a
typeof(axes) = Tuple{BlockArrays.BlockedOneTo{Int64, Vector{Int64}}, BlockArrays.BlockedOneTo{Int64, Vector{Int64}}}

Warning: To temporarily circumvent a bug in printing BlockSparseArrays with mixtures of dual and non-dual axes, the types of the dual axes printed below might not be accurate. The types printed above this message are the correct ones.

2×2-blocked 5×5 BlockSparseArray{Float64, 2, Matrix{Float64}, NDTensors.SparseArrayDOKs.SparseArrayDOK{Matrix{Float64}, 2, NDTensors.BlockSparseArrays.BlockZero{Tuple{BlockArrays.BlockedOneTo{Int64, Vector{Int64}}, BlockArrays.BlockedOneTo{Int64, Vector{Int64}}}}}, Tuple{BlockArrays.BlockedOneTo{Int64, Vector{Int64}}, BlockArrays.BlockedOneTo{Int64, Vector{Int64}}}}:
 0.0  0.0  │  2.0  2.0  2.0
 0.0  0.0  │  2.0  2.0  2.0
 ──────────┼───────────────
 0.0  0.0  │  0.0  0.0  0.0
 0.0  0.0  │  0.0  0.0  0.0
 0.0  0.0  │  0.0  0.0  0.0

[codecov-commenter]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 44.01%. Comparing base (82cfd76) to head (fa01e4f).
Report is 18 commits behind head on main.

❗ Current head fa01e4f differs from pull request most recent head cb319e6

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| Flag | BASE (82cfd76) | HEAD (fa01e4f) | |------|------|------| ||3|1|

Additional details and impacted files

@@             Coverage Diff             @@
##             main    #1506       +/-   ##
===========================================
- Coverage   78.05%   44.01%   -34.04%     
===========================================
  Files         148      144        -4     
  Lines        9679     9353      -326     
===========================================
- Hits         7555     4117     -3438     
- Misses       2124     5236     +3112     

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