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Use RetroCap.jl to add monotonic "caps" (upper-bounded compat entries) to all packages (#11114)
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1,843 files changed

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A/ACME/Compat.toml

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Compat = "1-2"
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["0-0.8"]
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DataStructures = "0.2.9-0"
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DataStructures = "0.2.9 - 0.18"
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IterTools = "0-1"
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ProgressMeter = "0.2.1-0"
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ProgressMeter = "0.2.1 - 0.9"
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julia = "0.6-1"
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["0.7.5-0.8"]
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Compat = "1.1-2"
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["0.8"]
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StaticArrays = "0.5-0"
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StaticArrays = "0.5.0 - 0.11"
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["0.9-0"]
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IterTools = "1"

A/ACTRModels/Compat.toml

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[0]
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julia = "1"
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["0-0.1"]
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Distributions = "0.0.0 - 0.23"
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Parameters = "0.0.0 - 0.12"
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Reexport = "0.0.0 - 0.2"
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StatsBase = "0.0.0 - 0.33"
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StatsFuns = "0.0.0 - 0.9"
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["0.2-0"]
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Distributions = "0.22-0.23"
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Parameters = "0.12"

A/ADCME/Compat.toml

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@@ -1,6 +1,25 @@
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[0]
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julia = "1"
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["0-0.3.1"]
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FFTW = "0.0.0 - 1"
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MAT = "0.0.0 - 0.5"
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PyCall = "0.0.0 - 1"
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["0.2.2-0.2.3"]
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NLopt = "0.0.0 - 0.6"
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Optim = "0.0.0 - 1"
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["0.2.6-0.3.1"]
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PyPlot = "0.0.0 - 2"
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Suppressor = "0.0.0 - 0.1"
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["0.3-0.3.1"]
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Conda = "0.0.0 - 1"
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["0.3.1"]
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Optim = "0.0.0 - 0.19"
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["0.3.2"]
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FFTW = "1.0.1-1"
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Optim = "0.19.2-0.19"
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SpecialFunctions = "0.10"
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["0.4.2-0"]
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MAT = "0"
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SpecialFunctions = "0"
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MAT = "0.0.0 - 0.8"
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SpecialFunctions = "0.0.0 - 0.10"
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["0.4.2-0.5.0"]
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Optim = "0"
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Optim = "0.0.0 - 0.22"
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["0.5.2-0"]
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CMake = "1"

A/ADSeismic/Compat.toml

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[0]
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Conda = "1"
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MAT = "0"
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Optim = "0"
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Parameters = "0"
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MAT = "0.0.0 - 0.8"
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Optim = "0.0.0 - 0.22"
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Parameters = "0.0.0 - 0.12"
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ProgressMeter = "1"
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PyCall = "1.91.0-1"
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julia = "1"

A/AIBECS/Compat.toml

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["0-0.1"]
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FileIO = "0.0.0 - 1"
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JLD2 = "0.0.0 - 0.2"
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julia = "1"
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["0-0.2"]
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DataDeps = "0.0.0 - 0.7"
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DataFrames = "0.0.0 - 0.19"
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DiffEqBase = "0.0.0 - 6"
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DualMatrixTools = "0.0.0 - 1"
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DualNumbers = "0.0.0 - 0.6"
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FieldMetadata = "0.0.0 - 0.1"
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HyperDualMatrixTools = "0.0.0 - 2"
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HyperDualNumbers = "0.0.0 - 4"
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Reexport = "0.0.0 - 0.2"
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Unitful = "0.0.0 - 0.17"
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UnitfulAstro = "0.0.0 - 0.4"
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["0-0.2.2"]
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Flatten = "0.0.0 - 0.2"
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["0.2"]
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BSON = "0.0.0 - 0.2"
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["0.2-0.2.1"]
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OceanGrids = "0.0.0 - 0.1"
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["0.2-0.4.0"]
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julia = "1.1.0-1"
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A/AIControl/Compat.toml

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[0]
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CSV = "0"
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DataFrames = "0"
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Distributions = "0"
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CSV = "0.0.0 - 0.7"
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DataFrames = "0.0.0 - 0.21"
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Distributions = "0.0.0 - 0.23"
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FileIO = "0-1"
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GZip = "0"
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JLD2 = "0"
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GZip = "0.0.0 - 0.5"
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JLD2 = "0.0.0 - 0.2"
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julia = ["0.7", "1"]

A/AMDGPUnative/Compat.toml

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["0-0.1.0"]
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Adapt = "0.0.0 - 1"
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BinaryProvider = "0.0.0 - 0.5"
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HSARuntime = "0.2.5-0.2"
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LLVM = "0.0.0 - 1"
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["0-0.2"]
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julia = "1"

A/ANOVA/Compat.toml

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[0]
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ArgCheck = "0-1"
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CategoricalArrays = "0"
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DataFrames = "0"
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Distributions = "0"
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CategoricalArrays = "0.0.0 - 0.8"
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DataFrames = "0.0.0 - 0.21"
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Distributions = "0.0.0 - 0.23"
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GLM = "0-1"
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StatsBase = "0"
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StatsBase = "0.0.0 - 0.33"
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StatsModels = "0-0.5"
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julia = ["0.7", "1"]

A/ARCHModels/Compat.toml

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["0-0.3"]
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DataStructures = "0"
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Distributions = "0"
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ForwardDiff = "0"
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HypothesisTests = "0"
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Optim = "0"
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Reexport = "0"
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Roots = "0"
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SpecialFunctions = "0"
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StatsBase = "0"
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StatsFuns = "0"
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StatsBase = "0.0.0 - 0.30"
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julia = ["0.7", "1"]
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["0.3"]
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Requires = "0"
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["0-0.5.1"]
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DataStructures = "0.0.0 - 0.17"
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Distributions = "0.0.0 - 0.21"
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ForwardDiff = "0.0.0 - 0.10"
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HypothesisTests = "0.0.0 - 0.8"
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Optim = "0.0.0 - 0.19"
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Reexport = "0.0.0 - 0.2"
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Roots = "0.0.0 - 0.8"
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SpecialFunctions = "0.0.0 - 0.7"
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StatsFuns = "0.0.0 - 0.8"
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["0.3-0.5.1"]
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Requires = "0.0.0 - 0.5"
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["0.4"]
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StatsBase = "0.30"
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julia = "1"
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["0.5-0.5.1"]
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StatsBase = "0.30.0-*"
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StatsBase = "0.30.0 - 0.33"
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["0.5.2"]
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StatsBase = "0.31-0.33"

A/ARules/Compat.toml

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julia = ["0.7", "1"]
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["0.0.2-0"]
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DataFrames = "0.0.0 - 0.21"
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StatsBase = "0.0.0 - 0.33"
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julia = "0.7.0-*"

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