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add combinations(), integer_partitions(), and partitions() to combinatorics.j #425
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These are as described in TAoCP 7.2.1.3, 7.2.1.4, and 7.2.1.5. All three use coroutines. Each produce() call, combinations() and integer_partitions() return Array, partitions() returns a set of sets. partitions() could have been written to return a generator which would return each set from an individual partitioning in turn, I wasn't sure what the preferred behavior would be so I went simple if clunky.
ViralBShah
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add combinations(), integer_partitions(), and partitions() to combinatorics.j
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Stdlib: SparseArrays URL: https://github.com/JuliaSparse/SparseArrays.jl.git Stdlib branch: main Julia branch: master Old commit: 99c99b4 New commit: 54f4b39 Julia version: 1.11.0-DEV SparseArrays version: 1.11.0 Bump invoked by: @ViralBShah Powered by: [BumpStdlibs.jl](https://github.com/JuliaLang/BumpStdlibs.jl) Diff: JuliaSparse/SparseArrays.jl@99c99b4...54f4b39 ``` $ git log --oneline 99c99b4..54f4b39 54f4b39 Fix docs conflict when building as part of full Julia docs (#430) a64ef4f Cleanup reloaded (#426) 4e2d1e4 Respect `IOContext` while displaying a `SparseMatrixCSC` (#423) 3d1eda9 Test suite: activate a temp project if we need to install Aqua.jl during the test suite (#425) 18b7fce Merge pull request #422 from JuliaSparse/jn/cat e2c78b8 test: restore ambiguous test 68afc6e fix inference of SparseVector cat c402d09 cat: ensure vararg is more inferrable 2c4f870 Fix some broken links (#421) 36a5308 bump version (#418) ``` Co-authored-by: Dilum Aluthge <[email protected]>
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* Add ExprSplitter and remove `prepare_thunk` and `split_expressions` The main motivation is to eliminate their need to `eval`, which feels like a code smell. * Restrict new releases to still-supported Julia versions * Fix doctests
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8c84b8c (#56431) Stdlib: SparseArrays URL: https://github.com/JuliaSparse/SparseArrays.jl.git Stdlib branch: release-1.10 Julia branch: backports-release-1.10 Old commit: 279b363 New commit: 8c84b8c Julia version: 1.10.6 SparseArrays version: 1.10.0(Does not match) Bump invoked by: @IanButterworth Powered by: [BumpStdlibs.jl](https://github.com/JuliaLang/BumpStdlibs.jl) Diff: JuliaSparse/SparseArrays.jl@279b363...8c84b8c ``` $ git log --oneline 279b363..8c84b8c 8c84b8c Merge pull request #572 from JuliaSparse/backports-release-1.10 ec38631 Update ci.yml with more architectures 46c8f7e Merge branch 'release-1.10' into backports-release-1.10 2d762b3 Manual commit for PR #550 to backport to 1.10 (#577) 5c37298 Add versions to include arch b539588 Update CI fa49620 Disable nested dissection d2a80a6 Change default QR tolerance to match SPQR (#557) 9b8cd14 SparseMatrixCSC constructor with a Tuple of Integers (#523) 546be18 Fix docs conflict when building as part of full Julia docs (#430) 30fbfc6 Test suite: activate a temp project if we need to install Aqua.jl during the test suite (#425) 91b0aa5 doc: move solvers doc to `src\solvers.md` (#576) 5d3724a Inline sparse-times-dense in-place multiplication ``` Co-authored-by: Dilum Aluthge <[email protected]>
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8c84b8c (#56431) Stdlib: SparseArrays URL: https://github.com/JuliaSparse/SparseArrays.jl.git Stdlib branch: release-1.10 Julia branch: backports-release-1.10 Old commit: 279b363 New commit: 8c84b8c Julia version: 1.10.6 SparseArrays version: 1.10.0(Does not match) Bump invoked by: @IanButterworth Powered by: [BumpStdlibs.jl](https://github.com/JuliaLang/BumpStdlibs.jl) Diff: JuliaSparse/SparseArrays.jl@279b363...8c84b8c ``` $ git log --oneline 279b363..8c84b8c 8c84b8c Merge pull request #572 from JuliaSparse/backports-release-1.10 ec38631 Update ci.yml with more architectures 46c8f7e Merge branch 'release-1.10' into backports-release-1.10 2d762b3 Manual commit for PR #550 to backport to 1.10 (#577) 5c37298 Add versions to include arch b539588 Update CI fa49620 Disable nested dissection d2a80a6 Change default QR tolerance to match SPQR (#557) 9b8cd14 SparseMatrixCSC constructor with a Tuple of Integers (#523) 546be18 Fix docs conflict when building as part of full Julia docs (#430) 30fbfc6 Test suite: activate a temp project if we need to install Aqua.jl during the test suite (#425) 91b0aa5 doc: move solvers doc to `src\solvers.md` (#576) 5d3724a Inline sparse-times-dense in-place multiplication ``` Co-authored-by: Dilum Aluthge <[email protected]>
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These are as described in TAoCP 7.2.1.3, 7.2.1.4, and 7.2.1.5.
All three use coroutines. Each produce() call, combinations() and integer_partitions() return Array, partitions() returns a set of sets. partitions() could have been written to return a generator which would return each set from an individual partitioning in turn, I wasn't sure what the preferred behavior would be so I went simple if clunky.
Here's my test script and the output:
macro task(ex); :(Task(()->$ex)); end
function test_combinations(a, t)
println(length(a), ',', t)
println("nCr: ", binomial(length(a), t))
for comb in @task combinations(a, t)
println(comb)
end
end
test_combinations(['a','b','c','d','e','f'], 4)
test_combinations(['a','b','c','d','e'], 4)
test_combinations(['a','b','c','d'], 3)
test_combinations(['a','b','c','d'], 2)
test_combinations(['a','b','c'], 2)
test_combinations(['a','b','c'], 1)
test_combinations(['a','b'], 1)
function test_integer_partitions(n, m)
println("n, m: ", n, ',', m)
for int_part in @task integer_partitions(n, m)
println(int_part)
end
end
for i = 4:5
for j = 2:4
test_integer_partitions(i, j)
end
end
function test_partitions(s)
println("s: ", s)
for part in @task partitions(s)
println(part)
end
end
test_partitions(['a', 'b', 'c', 'd'])
OUTPUT:
6,4
nCr: 15
{'a', 'b', 'c', 'd'}
{'a', 'b', 'c', 'e'}
{'a', 'b', 'd', 'e'}
{'a', 'c', 'd', 'e'}
{'b', 'c', 'd', 'e'}
{'a', 'b', 'c', 'f'}
{'a', 'b', 'd', 'f'}
{'a', 'c', 'd', 'f'}
{'b', 'c', 'd', 'f'}
{'a', 'b', 'e', 'f'}
{'a', 'c', 'e', 'f'}
{'b', 'c', 'e', 'f'}
{'a', 'd', 'e', 'f'}
{'b', 'd', 'e', 'f'}
{'c', 'd', 'e', 'f'}
5,4
nCr: 5
{'a', 'b', 'c', 'd'}
{'a', 'b', 'c', 'e'}
{'a', 'b', 'd', 'e'}
{'a', 'c', 'd', 'e'}
{'b', 'c', 'd', 'e'}
4,3
nCr: 4
{'a', 'b', 'c'}
{'a', 'b', 'd'}
{'a', 'c', 'd'}
{'b', 'c', 'd'}
4,2
nCr: 6
{'a', 'b'}
{'a', 'c'}
{'b', 'c'}
{'a', 'd'}
{'b', 'd'}
{'c', 'd'}
3,2
nCr: 3
{'a', 'b'}
{'a', 'c'}
{'b', 'c'}
3,1
nCr: 3
{'a'}
{'b'}
{'c'}
2,1
nCr: 2
{'a'}
{'b'}
n, m: 4,2
[3.0, 1.0]
[2.0, 2.0]
n, m: 4,3
[2.0, 1.0, 1.0]
n, m: 4,4
[1.0, 1.0, 1.0, 1.0]
n, m: 5,2
[4.0, 1.0]
[3.0, 2.0]
n, m: 5,3
[3.0, 1.0, 1.0]
[2.0, 2.0, 1.0]
n, m: 5,4
[2.0, 1.0, 1.0, 1.0]
s: ['a', 'b', 'c', 'd']
Set{Any}(Set{Any}('a','c','b','d'))
Set{Any}(Set{Any}('a','c','b'),Set{Any}('d'))
Set{Any}(Set{Any}('a','b','d'),Set{Any}('c'))
Set{Any}(Set{Any}('a','b'),Set{Any}('c','d'))
Set{Any}(Set{Any}('a','b'),Set{Any}('c'),Set{Any}('d'))
Set{Any}(Set{Any}('a','c','d'),Set{Any}('b'))
Set{Any}(Set{Any}('a','c'),Set{Any}('b','d'))
Set{Any}(Set{Any}('a','c'),Set{Any}('b'),Set{Any}('d'))
Set{Any}(Set{Any}('a','d'),Set{Any}('c','b'))
Set{Any}(Set{Any}('a'),Set{Any}('c','b','d'))
Set{Any}(Set{Any}('a'),Set{Any}('c','b'),Set{Any}('d'))
Set{Any}(Set{Any}('a','d'),Set{Any}('b'),Set{Any}('c'))
Set{Any}(Set{Any}('a'),Set{Any}('b','d'),Set{Any}('c'))
Set{Any}(Set{Any}('a'),Set{Any}('b'),Set{Any}('c','d'))
Set{Any}(Set{Any}('b'),Set{Any}('d'),Set{Any}('a'),Set{Any}('c'))