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New package: IteratedProcessSimulations v0.1.0 (#47198)
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UUID: 4cc8113b-92e1-44eb-9dd6-a1e250a7ca3b
Repo: https://github.com/jeremiahpslewis/IteratedProcessSimulations.jl.git
Tree: 92b6f81f5b13117ed11006e261bdf785f42896c2

Registrator tree SHA: 8e1a5ac2695627143951512d700c7e3c445102ec
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JuliaRegistrator authored Oct 24, 2021
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7 changes: 7 additions & 0 deletions I/IteratedProcessSimulations/Compat.toml
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[0]
Chain = "0.4"
DataFrameMacros = "0.1"
DataFrames = "1"
MeasureTheory = "0.13"
Soss = "0.20"
julia = "1.6.0-1"
7 changes: 7 additions & 0 deletions I/IteratedProcessSimulations/Deps.toml
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[0]
Chain = "8be319e6-bccf-4806-a6f7-6fae938471bc"
DataFrameMacros = "75880514-38bc-4a95-a458-c2aea5a3a702"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
MeasureTheory = "eadaa1a4-d27c-401d-8699-e962e1bbc33b"
Soss = "8ce77f84-9b61-11e8-39ff-d17a774bf41c"
UUIDs = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"
3 changes: 3 additions & 0 deletions I/IteratedProcessSimulations/Package.toml
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name = "IteratedProcessSimulations"
uuid = "4cc8113b-92e1-44eb-9dd6-a1e250a7ca3b"
repo = "https://github.com/jeremiahpslewis/IteratedProcessSimulations.jl.git"
2 changes: 2 additions & 0 deletions I/IteratedProcessSimulations/Versions.toml
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["0.1.0"]
git-tree-sha1 = "92b6f81f5b13117ed11006e261bdf785f42896c2"
1 change: 1 addition & 0 deletions Registry.toml
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Expand Up @@ -2015,6 +2015,7 @@ some amount of consideration when choosing package names.
4ca9428c-4c75-11e9-2efb-bf5cb6c1e8f8 = { name = "JuDoc", path = "J/JuDoc" }
4cc0fe96-1163-46f3-ba32-de1e65d9548f = { name = "KhepriBase", path = "K/KhepriBase" }
4cc553b9-be87-484b-81d9-b5ae2a4e3958 = { name = "Maxvol", path = "M/Maxvol" }
4cc8113b-92e1-44eb-9dd6-a1e250a7ca3b = { name = "IteratedProcessSimulations", path = "I/IteratedProcessSimulations" }
4cefb923-2b6f-58c4-9e65-6821f26b7b51 = { name = "Munkres", path = "M/Munkres" }
4d00f742-c7ba-57c2-abde-4428a4b178cb = { name = "GeometryTypes", path = "G/GeometryTypes" }
4d01364a-afc1-4828-a15a-b5219e90899b = { name = "DistributedReinforcementLearning", path = "D/DistributedReinforcementLearning" }
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