content: name = "Pathfinder"
  uuid = "b1d3bc72-d0e7-4279-b92f-7fa5d6d2d454"
  authors = ["Seth Axen <seth.axen@gmail.com> and contributors"]
  version = "0.9.22"
  
  [deps]
  ADTypes = "47edcb42-4c32-4615-8424-f2b9edc5f35b"
  Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
  Folds = "41a02a25-b8f0-4f67-bc48-60067656b558"
  ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
  IrrationalConstants = "92d709cd-6900-40b7-9082-c6be49f344b6"
  LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
  LogDensityProblems = "6fdf6af0-433a-55f7-b3ed-c6c6e0b8df7c"
  Optim = "429524aa-4258-5aef-a3af-852621145aeb"
  Optimization = "7f7a1694-90dd-40f0-9382-eb1efda571ba"
  OptimizationOptimJL = "36348300-93cb-4f02-beb5-3c3902f8871e"
  PDMats = "90014a1f-27ba-587c-ab20-58faa44d9150"
  PSIS = "ce719bf2-d5d0-4fb9-925d-10a81b42ad04"
  ProgressLogging = "33c8b6b6-d38a-422a-b730-caa89a2f386c"
  Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
  Requires = "ae029012-a4dd-5104-9daa-d747884805df"
  SciMLBase = "0bca4576-84f4-4d90-8ffe-ffa030f20462"
  Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
  StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
  Transducers = "28d57a85-8fef-5791-bfe6-a80928e7c999"
  
  [weakdeps]
  Accessors = "7d9f7c33-5ae7-4f3b-8dc6-eff91059b697"
  DynamicHMC = "bbc10e6e-7c05-544b-b16e-64fede858acb"
  DynamicPPL = "366bfd00-2699-11ea-058f-f148b4cae6d8"
  MCMCChains = "c7f686f2-ff18-58e9-bc7b-31028e88f75d"
  Turing = "fce5fe82-541a-59a6-adf8-730c64b5f9a0"
  
  [extensions]
  PathfinderDynamicHMCExt = "DynamicHMC"
  PathfinderTuringExt = ["Accessors", "DynamicPPL", "MCMCChains", "Turing"]
  
  [compat]
  ADTypes = "0.2.5, 1"
  Accessors = "0.1.12"
  Distributions = "0.25.87"
  DynamicHMC = "3.4.0"
  DynamicPPL = "0.25.2, 0.27, 0.28, 0.29, 0.30, 0.31, 0.32, 0.33, 0.34, 0.35, 0.36, 0.37"
  Folds = "0.2.9"
  ForwardDiff = "0.10.26, 1"
  IrrationalConstants = "0.1.1, 0.2"
  LinearAlgebra = "1"
  LogDensityProblems = "2.1.0"
  MCMCChains = "6.0.2, 7"
  Optim = "1.7.2"
  Optimization = "3.21, 4"
  OptimizationNLopt = "0.2, 0.3"
  OptimizationOptimJL = "0.2.1, 0.3, 0.4"
  PDMats = "0.11.35"
  PSIS = "0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9"
  ProgressLogging = "0.1.4"
  Random = "1"
  Requires = "1.1"
  ReverseDiff = "1.15"
  SciMLBase = "2.30"
  Statistics = "1"
  StatsBase = "0.33.17, 0.34"
  Transducers = "0.4.81"
  Turing = "0.31.4, 0.32, 0.33, 0.34, 0.35, 0.36, 0.37, 0.38, 0.39, 0.40"
  julia = "1.10"
  
  [extras]
  Accessors = "7d9f7c33-5ae7-4f3b-8dc6-eff91059b697"
  DynamicHMC = "bbc10e6e-7c05-544b-b16e-64fede858acb"
  DynamicPPL = "366bfd00-2699-11ea-058f-f148b4cae6d8"
  MCMCChains = "c7f686f2-ff18-58e9-bc7b-31028e88f75d"
  OptimizationNLopt = "4e6fcdb7-1186-4e1f-a706-475e75c168bb"
  ReverseDiff = "37e2e3b7-166d-5795-8a7a-e32c996b4267"
  Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
  Turing = "fce5fe82-541a-59a6-adf8-730c64b5f9a0"
  
  [targets]
  test = ["OptimizationNLopt", "ReverseDiff", "Test"]
  