From ca988334abe94ba265f96983cc6565e7dddc14fc Mon Sep 17 00:00:00 2001 From: visr Date: Tue, 13 Aug 2024 09:19:47 +0000 Subject: [PATCH] deploy: c75cfdcaf0f0ceb0eb5569a4f898c2c64472b3a8 --- concept/allocation.html | 24 +++++++++--------- .../figure-html/cell-18-output-1.png | Bin 86836 -> 86845 bytes .../figure-html/cell-19-output-1.png | Bin 120802 -> 122389 bytes .../figure-html/cell-31-output-1.png | Bin 48174 -> 48333 bytes .../figure-html/cell-43-output-1.png | Bin 62075 -> 62182 bytes .../figure-html/cell-56-output-1.png | Bin 111240 -> 111236 bytes .../figure-html/cell-57-output-2.png | Bin 61162 -> 61232 bytes .../figure-html/cell-68-output-1.png | Bin 44271 -> 44294 bytes .../figure-html/cell-79-output-1.png | Bin 45460 -> 45438 bytes .../figure-html/cell-79-output-2.png | Bin 45928 -> 45841 bytes .../figure-html/cell-80-output-1.png | Bin 57202 -> 57198 bytes .../figure-html/cell-81-output-1.png | Bin 42921 -> 42894 bytes .../figure-html/cell-93-output-1.png | Bin 105253 -> 105132 bytes reference/node/basin.html | 2 +- reference/node/discrete-control.html | 2 +- reference/test-models.html | 2 +- reference/validation.html | 4 +-- search.json | 2 +- 18 files changed, 18 insertions(+), 18 deletions(-) diff --git a/concept/allocation.html b/concept/allocation.html index d56eedc8c..af5f202d1 100644 --- a/concept/allocation.html +++ b/concept/allocation.html @@ -584,7 +584,7 @@

4.4 Example

The following is an example of an optimization problem for the example shown here:

-
+
Code
using Ribasim
@@ -607,27 +607,27 @@ 

println(p.allocation.allocation_models[1].problem)

-
Min F[(Basin #2, UserDemand #3)]² + F[(Basin #5, UserDemand #6)]²
+
Min F[(Basin #5, UserDemand #6)]² + F[(Basin #2, UserDemand #3)]²
 Subject to
  source[(FlowBoundary #1, Basin #2)] : F[(FlowBoundary #1, Basin #2)] ≤ 172800
- source_user[UserDemand #6] : F[(UserDemand #6, Basin #5)] ≤ 0
  source_user[UserDemand #3] : F[(UserDemand #3, Basin #2)] ≤ 0
- flow_conservation[Basin #5] : F[(UserDemand #6, Basin #5)] + F[(LinearResistance #4, Basin #5)] - F[(Basin #5, LinearResistance #4)] - F[(Basin #5, TabulatedRatingCurve #7)] - F[(Basin #5, UserDemand #6)] = 0
+ source_user[UserDemand #6] : F[(UserDemand #6, Basin #5)] ≤ 0
+ flow_conservation[Basin #2] : F[(UserDemand #3, Basin #2)] - F[(Basin #2, LinearResistance #4)] + F[(LinearResistance #4, Basin #2)] + F[(FlowBoundary #1, Basin #2)] - F[(Basin #2, UserDemand #3)] = 0
  flow_conservation[Terminal #1] : F[(TabulatedRatingCurve #7, Terminal #1)] = 0
  flow_conservation[TabulatedRatingCurve #7] : -F[(TabulatedRatingCurve #7, Terminal #1)] + F[(Basin #5, TabulatedRatingCurve #7)] = 0
- flow_conservation[Basin #2] : F[(FlowBoundary #1, Basin #2)] - F[(Basin #2, LinearResistance #4)] + F[(LinearResistance #4, Basin #2)] + F[(UserDemand #3, Basin #2)] - F[(Basin #2, UserDemand #3)] = 0
- flow_conservation[LinearResistance #4] : -F[(LinearResistance #4, Basin #5)] + F[(Basin #5, LinearResistance #4)] + F[(Basin #2, LinearResistance #4)] - F[(LinearResistance #4, Basin #2)] = 0
- F[(UserDemand #6, Basin #5)] ≥ 0
- F[(FlowBoundary #1, Basin #2)] ≥ 0
- F[(LinearResistance #4, Basin #5)] ≥ 0
- F[(Basin #5, LinearResistance #4)] ≥ 0
+ flow_conservation[Basin #5] : F[(LinearResistance #4, Basin #5)] - F[(Basin #5, LinearResistance #4)] - F[(Basin #5, UserDemand #6)] - F[(Basin #5, TabulatedRatingCurve #7)] + F[(UserDemand #6, Basin #5)] = 0
+ flow_conservation[LinearResistance #4] : F[(Basin #2, LinearResistance #4)] - F[(LinearResistance #4, Basin #2)] - F[(LinearResistance #4, Basin #5)] + F[(Basin #5, LinearResistance #4)] = 0
+ F[(UserDemand #3, Basin #2)] ≥ 0
  F[(Basin #2, LinearResistance #4)] ≥ 0
  F[(LinearResistance #4, Basin #2)] ≥ 0
  F[(TabulatedRatingCurve #7, Terminal #1)] ≥ 0
- F[(UserDemand #3, Basin #2)] ≥ 0
+ F[(LinearResistance #4, Basin #5)] ≥ 0
+ F[(Basin #5, LinearResistance #4)] ≥ 0
+ F[(Basin #5, UserDemand #6)] ≥ 0
+ F[(FlowBoundary #1, Basin #2)] ≥ 0
  F[(Basin #5, TabulatedRatingCurve #7)] ≥ 0
  F[(Basin #2, UserDemand #3)] ≥ 0
- F[(Basin #5, UserDemand #6)] ≥ 0
+ F[(UserDemand #6, Basin #5)] ≥ 0
 
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z;ZvE(BxOv5U~CF1!cXz2Al8x&4yOU)b_92q9dWgbC?_oILNb>$WdHnJcm1*Cg4@(x rzvub?U-od`KNILr2}l0ByQq8}VsAaZ`LdjQ3fG8Xqg}Q+`N#eS$a2A~ diff --git a/reference/node/basin.html b/reference/node/basin.html index 26af854c0..86f2e56d5 100644 --- a/reference/node/basin.html +++ b/reference/node/basin.html @@ -832,7 +832,7 @@

    Here \(p > 0\) is the threshold value which determines the interval \([0,p]\) of the smooth transition between \(0\) and \(1\), see the plot below.

    -
    +
    Code
    import numpy as np
    diff --git a/reference/node/discrete-control.html b/reference/node/discrete-control.html
    index 3c6183a56..cc838dc56 100644
    --- a/reference/node/discrete-control.html
    +++ b/reference/node/discrete-control.html
    @@ -386,7 +386,7 @@ 

    DiscreteControl

    Set parameters of other nodes based on model state conditions (e.g. Basin level). The table below shows which parameters are controllable for a given node type.

    -
    +
    Code
    using Ribasim
    diff --git a/reference/test-models.html b/reference/test-models.html
    index 07b620d55..b18ccc1e1 100644
    --- a/reference/test-models.html
    +++ b/reference/test-models.html
    @@ -346,7 +346,7 @@ 

    Test models

    Ribasim developers use the following models in their testbench and in order to test new features.

    -
    +
    Code
    import ribasim_testmodels
    diff --git a/reference/validation.html b/reference/validation.html
    index a91cb2e0e..5b3e1d91c 100644
    --- a/reference/validation.html
    +++ b/reference/validation.html
    @@ -356,7 +356,7 @@ 

    Validation

    1 Connectivity

    In the table below, each column shows which node types are allowed to be downstream (or ‘down-control’) of the node type at the top of the column.

    -
    +
    Code
    using Ribasim
    @@ -706,7 +706,7 @@ 

    1 Connectivity

    2 Neighbor amounts

    The table below shows for each node type between which bounds the amount of in- and outneighbors must be, for both flow and control edges.

    -
    +
    Code
    flow_in_min = Vector{String}()
    diff --git a/search.json b/search.json
    index 10be954f7..03d75e9aa 100644
    --- a/search.json
    +++ b/search.json
    @@ -99,7 +99,7 @@
         "href": "concept/allocation.html#example",
         "title": "Allocation",
         "section": "4.4 Example",
    -    "text": "4.4 Example\nThe following is an example of an optimization problem for the example shown here:\n\n\nCode\nusing Ribasim\nusing Ribasim: NodeID\nusing SQLite\nusing ComponentArrays: ComponentVector\n\ntoml_path = normpath(@__DIR__, \"../../generated_testmodels/allocation_example/ribasim.toml\")\np = Ribasim.Model(toml_path).integrator.p\nu = ComponentVector(; storage = zeros(length(p.basin.node_id)))\n\nallocation_model = p.allocation.allocation_models[1]\nt = 0.0\npriority_idx = 1\n\nRibasim.set_flow!(p.graph, NodeID(:FlowBoundary, 1, p), NodeID(:Basin, 2, p), 1.0)\nRibasim.set_objective_priority!(allocation_model, p, u, t, priority_idx)\nRibasim.set_initial_values!(allocation_model, p, u, t)\n\nprintln(p.allocation.allocation_models[1].problem)\n\n\nMin F[(Basin #2, UserDemand #3)]² + F[(Basin #5, UserDemand #6)]²\nSubject to\n source[(FlowBoundary #1, Basin #2)] : F[(FlowBoundary #1, Basin #2)] ≤ 172800\n source_user[UserDemand #6] : F[(UserDemand #6, Basin #5)] ≤ 0\n source_user[UserDemand #3] : F[(UserDemand #3, Basin #2)] ≤ 0\n flow_conservation[Basin #5] : F[(UserDemand #6, Basin #5)] + F[(LinearResistance #4, Basin #5)] - F[(Basin #5, LinearResistance #4)] - F[(Basin #5, TabulatedRatingCurve #7)] - F[(Basin #5, UserDemand #6)] = 0\n flow_conservation[Terminal #1] : F[(TabulatedRatingCurve #7, Terminal #1)] = 0\n flow_conservation[TabulatedRatingCurve #7] : -F[(TabulatedRatingCurve #7, Terminal #1)] + F[(Basin #5, TabulatedRatingCurve #7)] = 0\n flow_conservation[Basin #2] : F[(FlowBoundary #1, Basin #2)] - F[(Basin #2, LinearResistance #4)] + F[(LinearResistance #4, Basin #2)] + F[(UserDemand #3, Basin #2)] - F[(Basin #2, UserDemand #3)] = 0\n flow_conservation[LinearResistance #4] : -F[(LinearResistance #4, Basin #5)] + F[(Basin #5, LinearResistance #4)] + F[(Basin #2, LinearResistance #4)] - F[(LinearResistance #4, Basin #2)] = 0\n F[(UserDemand #6, Basin #5)] ≥ 0\n F[(FlowBoundary #1, Basin #2)] ≥ 0\n F[(LinearResistance #4, Basin #5)] ≥ 0\n F[(Basin #5, LinearResistance #4)] ≥ 0\n F[(Basin #2, LinearResistance #4)] ≥ 0\n F[(LinearResistance #4, Basin #2)] ≥ 0\n F[(TabulatedRatingCurve #7, Terminal #1)] ≥ 0\n F[(UserDemand #3, Basin #2)] ≥ 0\n F[(Basin #5, TabulatedRatingCurve #7)] ≥ 0\n F[(Basin #2, UserDemand #3)] ≥ 0\n F[(Basin #5, UserDemand #6)] ≥ 0",
    +    "text": "4.4 Example\nThe following is an example of an optimization problem for the example shown here:\n\n\nCode\nusing Ribasim\nusing Ribasim: NodeID\nusing SQLite\nusing ComponentArrays: ComponentVector\n\ntoml_path = normpath(@__DIR__, \"../../generated_testmodels/allocation_example/ribasim.toml\")\np = Ribasim.Model(toml_path).integrator.p\nu = ComponentVector(; storage = zeros(length(p.basin.node_id)))\n\nallocation_model = p.allocation.allocation_models[1]\nt = 0.0\npriority_idx = 1\n\nRibasim.set_flow!(p.graph, NodeID(:FlowBoundary, 1, p), NodeID(:Basin, 2, p), 1.0)\nRibasim.set_objective_priority!(allocation_model, p, u, t, priority_idx)\nRibasim.set_initial_values!(allocation_model, p, u, t)\n\nprintln(p.allocation.allocation_models[1].problem)\n\n\nMin F[(Basin #5, UserDemand #6)]² + F[(Basin #2, UserDemand #3)]²\nSubject to\n source[(FlowBoundary #1, Basin #2)] : F[(FlowBoundary #1, Basin #2)] ≤ 172800\n source_user[UserDemand #3] : F[(UserDemand #3, Basin #2)] ≤ 0\n source_user[UserDemand #6] : F[(UserDemand #6, Basin #5)] ≤ 0\n flow_conservation[Basin #2] : F[(UserDemand #3, Basin #2)] - F[(Basin #2, LinearResistance #4)] + F[(LinearResistance #4, Basin #2)] + F[(FlowBoundary #1, Basin #2)] - F[(Basin #2, UserDemand #3)] = 0\n flow_conservation[Terminal #1] : F[(TabulatedRatingCurve #7, Terminal #1)] = 0\n flow_conservation[TabulatedRatingCurve #7] : -F[(TabulatedRatingCurve #7, Terminal #1)] + F[(Basin #5, TabulatedRatingCurve #7)] = 0\n flow_conservation[Basin #5] : F[(LinearResistance #4, Basin #5)] - F[(Basin #5, LinearResistance #4)] - F[(Basin #5, UserDemand #6)] - F[(Basin #5, TabulatedRatingCurve #7)] + F[(UserDemand #6, Basin #5)] = 0\n flow_conservation[LinearResistance #4] : F[(Basin #2, LinearResistance #4)] - F[(LinearResistance #4, Basin #2)] - F[(LinearResistance #4, Basin #5)] + F[(Basin #5, LinearResistance #4)] = 0\n F[(UserDemand #3, Basin #2)] ≥ 0\n F[(Basin #2, LinearResistance #4)] ≥ 0\n F[(LinearResistance #4, Basin #2)] ≥ 0\n F[(TabulatedRatingCurve #7, Terminal #1)] ≥ 0\n F[(LinearResistance #4, Basin #5)] ≥ 0\n F[(Basin #5, LinearResistance #4)] ≥ 0\n F[(Basin #5, UserDemand #6)] ≥ 0\n F[(FlowBoundary #1, Basin #2)] ≥ 0\n F[(Basin #5, TabulatedRatingCurve #7)] ≥ 0\n F[(Basin #2, UserDemand #3)] ≥ 0\n F[(UserDemand #6, Basin #5)] ≥ 0",
         "crumbs": [
           "Concepts",
           "Implementation",