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28 lines
1009 B
28 lines
1009 B
name = "MIPLearn"
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uuid = "2b1277c3-b477-4c49-a15e-7ba350325c68"
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authors = ["Alinson S Xavier <git@axavier.org>"]
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version = "0.3.0"
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[deps]
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Conda = "8f4d0f93-b110-5947-807f-2305c1781a2d"
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DataStructures = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8"
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HDF5 = "f67ccb44-e63f-5c2f-98bd-6dc0ccc4ba2f"
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HiGHS = "87dc4568-4c63-4d18-b0c0-bb2238e4078b"
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JuMP = "4076af6c-e467-56ae-b986-b466b2749572"
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KLU = "ef3ab10e-7fda-4108-b977-705223b18434"
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LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
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MathOptInterface = "b8f27783-ece8-5eb3-8dc8-9495eed66fee"
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OrderedCollections = "bac558e1-5e72-5ebc-8fee-abe8a469f55d"
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Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
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PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
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Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
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Requires = "ae029012-a4dd-5104-9daa-d747884805df"
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SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
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Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
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TimerOutputs = "a759f4b9-e2f1-59dc-863e-4aeb61b1ea8f"
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[compat]
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JuMP = "1"
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MathOptInterface = "1"
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julia = "1"
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