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Prep release 0.6.1 (#11)
Co-authored-by: Lars Hellemo <[email protected]>
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JuliaFormatter.toml

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# Configuration file for JuliaFormatter.jl
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# For more information, see: https://domluna.github.io/JuliaFormatter.jl/stable/config/
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always_for_in = true
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always_use_return = true
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margin = 80
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remove_extra_newlines = true
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short_to_long_function_def = true

NEWS.md

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TimeStructures release notes
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===================================
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Version 0.6.1 (2022-06-29)
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--------------------------
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* Release under MIT License
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Version 0.1.0 (2021-06-11)
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Version 0.4.3 (2021-11-07)
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--------------------------
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* Initial version
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* SparseArray for data and JuMP-variables with zero for non-existing indices
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* Customized and fast routines for index selection based on patterns
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* Support for dynamic creation of new entries in variable arrays (SparseVarArray)
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* Support Tables interface also for variables stored in DenseAxisArray
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Version 0.3.0 (2021-09-08)
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--------------------------
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* Slicing and selection with ':'
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* Sparse variables with index names in construction
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* Support Tables.jl interface for solution variables
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Version 0.4.3 (2021-11-07)
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Version 0.1.0 (2021-06-11)
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--------------------------
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* Support Tables interface also for variables stored in DenseAxisArray
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* Initial version
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* SparseArray for data and JuMP-variables with zero for non-existing indices
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* Customized and fast routines for index selection based on patterns
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* Support for dynamic creation of new entries in variable arrays (SparseVarArray)
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Project.toml

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name = "SparseVariables"
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uuid = "2749762c-80ed-4b14-8f33-f0736679b02b"
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authors = ["Truls Flatberg <[email protected]>", "Lars Hellemo <[email protected]>"]
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version = "0.6.0"
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version = "0.6.1"
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[deps]
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Dictionaries = "85a47980-9c8c-11e8-2b9f-f7ca1fa99fb4"
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[compat]
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Dictionaries = "0.3"
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JuMP = "0.23, 1"
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JuMP = "1"
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Requires = "1.3"
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Tables = "1.7"
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julia = "1.6"

README.md

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dense JuMP-variables. Since the container does not provide index names, these has to be given as explicit arguments.
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Note that output to a DataFrame through the dataframe function is only possible if the DataFrames package is loaded
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before SparseVariables.
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## TODO
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* Support for broadcasting?
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* Restriction on allowable indices (e.g. only a fixed set allowed)
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before SparseVariables.

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