Update for Julia 1.9

cynddl · Aug 6, 2022 · 431fe41 · 431fe41 · cynddl · Aug 6, 2022
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Showing 8 changed files with 14 additions and 188 deletions.
diff --git a/.travis.yml b/.travis.yml
diff --git a/Manifest.toml b/Manifest.toml
diff --git a/Project.toml b/Project.toml
@@ -1,6 +1,6 @@
 name = "Discreet"
 uuid = "c2843242-4f35-58a6-a2a0-7e7527607317"
-version = "0.3.1"
+version = "0.3.2"
 
 [deps]
 Compat = "34da2185-b29b-5c13-b0c7-acf172513d20"
@@ -11,3 +11,9 @@ StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
 Compat = "2, 3.0, 3.1, 3.2"
 StatsBase = "0.22, 0.23, 0.24, 0.25, 0.26, 0.27, 0.28, 0.29, 0.30, 0.31, 0.32, 0.33"
 julia = "1"
+
+[extras]
+Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
+
+[targets]
+test = ["Test"]
diff --git a/README.md b/README.md
@@ -1,8 +1,7 @@
 # Discreet
 
-[![Build Status](https://travis-ci.org/cynddl/Discreet.jl.svg?branch=master)](https://travis-ci.org/cynddl/Discreet.jl)
-[![Coverage Status](https://coveralls.io/repos/cynddl/Discreet.jl/badge.svg?branch=master&service=github)](https://coveralls.io/github/cynddl/Discreet.jl?branch=master)
-[![codecov.io](http://codecov.io/github/cynddl/Discreet.jl/coverage.svg?branch=master)](http://codecov.io/github/cynddl/Discreet.jl?branch=master)
+[![Build Status](https://github.com/cynddl/Discreet.jl/actions/workflows/CI.yml/badge.svg)](https://github.com/cynddl/Discreet.jl/actions/workflows/CI.yml)
+[![Coverage status](http://codecov.io/github/cynddl/Discreet.jl/coverage.svg?branch=master)](http://codecov.io/github/cynddl/Discreet.jl?branch=master)
 
 Discreet is a small opinionated toolbox to estimate entropy and mutual information from discrete samples. It contains methods to adjust results and correct over- or under-estimations.
 

diff --git a/REQUIRE b/REQUIRE
@@ -1,3 +1 @@
-julia 0.7
-Compat
-StatsBase
+julia 1.0
diff --git a/appveyor.yml b/appveyor.yml
diff --git a/src/entropy.jl b/src/entropy.jl
@@ -68,7 +68,7 @@ end
 function estimate_joint_entropy(x::AbstractVector, y::AbstractVector; method::Symbol=:Naive)
   @assert length(x) == length(y) "Vectors must be the same length"
 
-  count = countmap([hash(yᵢ, hash(xᵢ)) for (xᵢ, yᵢ) ∈ zip(x, y)])
+  count = countmap([hash(yᵢ, hash(xᵢ)) for (xᵢ, yᵢ) ∈ zip(x, y)], alg=:dict)
   freqs = FrequencyWeights(collect(values(count)))
   entropy(freqs; method=method)
 end
diff --git a/test/runtests.jl b/test/runtests.jl
@@ -1,6 +1,8 @@
 using Discreet
 import StatsBase: FrequencyWeights, ProbabilityWeights
-using Compat, Compat.Test
+
+using Test
+using Compat
 import Compat.sum
 
 freqs_uniform = FrequencyWeights([1, 1, 1, 1, 1, 1])