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open-AIMS · Oct 28, 2024 · d72ce02 · d72ce02
1 parent 2feceff
commit d72ce02
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Showing 2 changed files with 34 additions and 33 deletions.
diff --git a/ext/AvizExt/viz/spatial.jl b/ext/AvizExt/viz/spatial.jl
@@ -152,7 +152,7 @@ function create_map!(
     end
 
     reset_limits!(current_axis())
-    if typeof(f)==GridLayout
+    if typeof(f) == GridLayout
         trim!(f)
     end
     resize_to_layout!(current_figure())
@@ -262,24 +262,24 @@ function ADRIA.viz.map(
     rs::Union{Domain,ResultSet},
     M::YAXArray,
     scores::Vector{Float64};
-    criteria::Vector{Symbol} = Array(M.criteria),
+    criteria::Vector{Symbol}=Array(M.criteria),
     opts::OPT_TYPE=DEFAULT_OPT_TYPE(),
     fig_opts::OPT_TYPE=set_figure_defaults(DEFAULT_OPT_TYPE()),
     axis_opts::OPT_TYPE=set_axis_defaults(DEFAULT_OPT_TYPE())
 )
     f = Figure(; fig_opts...)
     g = f[1, 1] = GridLayout()
     ADRIA.viz.map!(
-        g, rs, M, scores; criteria = criteria, opts = opts, axis_opts = axis_opts
+        g, rs, M, scores; criteria=criteria, opts=opts, axis_opts=axis_opts
     )
     return f
 end
 function ADRIA.viz.map!(
-    g::Union{GridLayout, GridPosition},
+    g::Union{GridLayout,GridPosition},
     rs::Union{Domain,ResultSet},
     M::YAXArray,
     scores::Vector{Float64};
-    criteria::Vector{Symbol} = Array(M.criteria),
+    criteria::Vector{Symbol}=Array(M.criteria),
     opts::OPT_TYPE=DEFAULT_OPT_TYPE(),
     axis_opts::OPT_TYPE=set_axis_defaults(DEFAULT_OPT_TYPE())
 )
@@ -294,9 +294,9 @@ function ADRIA.viz.map!(
     criteria_names::Vector{String} = m_spec[
         dropdims(
             any(
-                reshape(criteria, 1, length(criteria)) .== m_spec[:, "fieldname"]; dims = 2
+                reshape(criteria, 1, length(criteria)) .== m_spec[:, "fieldname"]; dims=2
             );
-            dims = 2,
+            dims=2
         ), "name"]
     n_criteria::Int64 = length(criteria)
     n_rows, n_cols = _calc_gridsize(n_criteria + 1)
@@ -309,8 +309,8 @@ function ADRIA.viz.map!(
                 g[row, col],
                 rs,
                 vec(scores);
-                opts = opts,
-                axis_opts = axis_opts,
+                opts=opts,
+                axis_opts=axis_opts
             )
             break
         end
@@ -319,8 +319,8 @@ function ADRIA.viz.map!(
             g[row, col],
             rs,
             vec(M[criteria=At(criteria[step])]);
-            opts = opts,
-            axis_opts = axis_opts
+            opts=opts,
+            axis_opts=axis_opts
         )
 
         step += 1

diff --git a/src/decision/Criteria/DecisionPreferences.jl b/src/decision/Criteria/DecisionPreferences.jl
@@ -152,28 +152,29 @@ Note: Ignores constant criteria values.
 # Returns
 Returns raw aggreagted score for a set of locations
 """
-function get_criteria_aggregate(dp::T, dm::YAXArray, method::Union{Function,DataType}
-    )where {T<:DecisionPreference}
-     # Identify valid, non-constant, columns for use in MCDA
-     is_const = Bool[length(x) == 1 for x in unique.(eachcol(dm.data))]
-
-     # YAXArrays will throw error for all false boolean masks
-     if all(is_const)
-         throw(DomainError(is_const, "No Ranking Possible, all criteria are constant"))
-     end
-
-     # Recreate preferences, removing criteria that are constant for this scenario
-     _dp = filter_criteria(dp, is_const)
-
-     # Assess decision matrix only using valid (non-constant) criteria
-     res = solve(_dp, dm[criteria=.!is_const], method)
-
-     if all(isnan.(res.scores))
-         # This may happen if there are constants in the decision matrix
-         # or if the method fails for some reason...
-         throw(DomainError(res.scores, "No ranking possible"))
-     end
-     return (scores=res.scores, bestIndex=res.bestIndex)
+function get_criteria_aggregate(
+    dp::T, dm::YAXArray, method::Union{Function,DataType}
+) where {T<:DecisionPreference}
+    # Identify valid, non-constant, columns for use in MCDA
+    is_const = Bool[length(x) == 1 for x in unique.(eachcol(dm.data))]
+
+    # YAXArrays will throw error for all false boolean masks
+    if all(is_const)
+        throw(DomainError(is_const, "No Ranking Possible, all criteria are constant"))
+    end
+
+    # Recreate preferences, removing criteria that are constant for this scenario
+    _dp = filter_criteria(dp, is_const)
+
+    # Assess decision matrix only using valid (non-constant) criteria
+    res = solve(_dp, dm[criteria=.!is_const], method)
+
+    if all(isnan.(res.scores))
+        # This may happen if there are constants in the decision matrix
+        # or if the method fails for some reason...
+        throw(DomainError(res.scores, "No ranking possible"))
+    end
+    return (scores=res.scores, bestIndex=res.bestIndex)
 end
 
 """