warning are annoying when called in monte carlo simulations

Boxylmer · Nov 19, 2023 · 497e5ac · 497e5ac · Boxylmer · Nov 19, 2023
1 parent 07e84ce
commit 497e5ac
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diff --git a/Project.toml b/Project.toml
@@ -1,7 +1,7 @@
 name = "MembraneBase"
 uuid = "a9449b16-1c3f-48ab-aa2c-0b9c6d97beee"
 authors = ["Will <[email protected]> and contributors"]
-version = "0.1.25"
+version = "0.1.26"
 
 [deps]
 Bootstrap = "e28b5b4c-05e8-5b66-bc03-6f0c0a0a06e0"

diff --git a/src/HelperFunctions.jl b/src/HelperFunctions.jl
@@ -228,11 +228,13 @@ function fit_linear_data(x::AbstractVector{<:Number}, y::AbstractVector{<:Number
     return slope, intercept
 end
 
-function fit_linear_data(x::AbstractVector{<:Number}, y::AbstractVector{<:Measurement})
+function fit_linear_data(x::AbstractVector{<:Number}, y::AbstractVector{<:Measurement}; verbose=false)
     weights = [1 / (meas.err^2) for meas in y]
     for wt in weights
         if isinf(wt)
-            @warn("A measurement uncertainty was zero. (weight_i = 1/var_i^2 = Inf when var_i = 0)\nDefaulting to unweighted linear regression.")
+            if verbose 
+                @warn("A measurement uncertainty was zero. (weight_i = 1/var_i^2 = Inf when var_i = 0)\nDefaulting to unweighted linear regression.")
+            end
             weights = missing
         end
     end