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Merge pull request #927 from AdityaPandeyCN/scipywrapper
Scipywrapper
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.github/workflows/CI.yml

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@@ -34,6 +34,7 @@ jobs:
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- OptimizationOptimisers
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- OptimizationPRIMA
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- OptimizationQuadDIRECT
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- OptimizationSciPy
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- OptimizationSpeedMapping
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- OptimizationPolyalgorithms
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- OptimizationNLPModels

lib/OptimizationSciPy/CondaPkg.toml

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[deps]
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scipy = ""
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numpy = ""

lib/OptimizationSciPy/LICENSE

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MIT License
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Copyright (c) 2023 Vaibhav Dixit <[email protected]> and contributors
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.

lib/OptimizationSciPy/Project.toml

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name = "OptimizationSciPy"
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uuid = "cce07bd8-c79b-4b00-aee8-8db9cce22837"
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authors = ["Aditya Pandey <[email protected]> and contributors"]
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version = "0.4.1"
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[deps]
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Optimization = "7f7a1694-90dd-40f0-9382-eb1efda571ba"
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PythonCall = "6099a3de-0909-46bc-b1f4-468b9a2dfc0d"
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Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
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[compat]
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Optimization = "4"
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PythonCall = "0.9"
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Reexport = "1.2"
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julia = "1"
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[extras]
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ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
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ModelingToolkit = "961ee093-0014-501f-94e3-6117800e7a78"
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Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
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ReverseDiff = "37e2e3b7-166d-5795-8a7a-e32c996b4267"
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Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
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Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
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[targets]
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test = ["ForwardDiff", "ModelingToolkit", "Random", "ReverseDiff", "Test", "Zygote"]

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