From 630acafbb8a0dce46b58dad740413df32e930284 Mon Sep 17 00:00:00 2001
From: Bagaev Dmitry <bvdmitri@gmail.com>
Date: Thu, 30 Jan 2025 14:20:32 +0100
Subject: [PATCH] style: make format

---
 src/rules/binomial_polya/y.jl        | 4 ++--
 test/rules/binomial_polya/y_tests.jl | 6 ++----
 2 files changed, 4 insertions(+), 6 deletions(-)

diff --git a/src/rules/binomial_polya/y.jl b/src/rules/binomial_polya/y.jl
index 4cf0e2e42..8619ac8ff 100644
--- a/src/rules/binomial_polya/y.jl
+++ b/src/rules/binomial_polya/y.jl
@@ -11,7 +11,7 @@ using ExponentialFamily.LogExpFunctions
     else
         n_samples = getn_samples(meta)
         βsamples = rand(meta.rng, q_β, n_samples)
-        p_avg = mapreduce(βsample -> logistic(dot(x, βsample)), +, eachcol(βsamples))/n_samples
+        p_avg = mapreduce(βsample -> logistic(dot(x, βsample)), +, eachcol(βsamples)) / n_samples
         return Binomial(n, p_avg)
     end
-end
\ No newline at end of file
+end
diff --git a/test/rules/binomial_polya/y_tests.jl b/test/rules/binomial_polya/y_tests.jl
index dc8337163..b8f92784c 100644
--- a/test/rules/binomial_polya/y_tests.jl
+++ b/test/rules/binomial_polya/y_tests.jl
@@ -8,12 +8,12 @@
         q_x = PointMass([0.1, 0.2])
         q_n = PointMass(5)
         q_β = MvNormalWeightedMeanPrecision([3.0, -1.0], diageye(2))
-        
+
         # Test with default meta
         pred_dist = @call_rule BinomialPolya(:y, Marginalisation) (q_x = q_x, q_n = q_n, q_β = q_β, meta = nothing)
         @test pred_dist isa Binomial
         @test ntrials(pred_dist) == 5
-        
+
         # Test with Monte Carlo sampling
         meta = BinomialPolyaMeta(1000, MersenneTwister(42))
         pred_dist_mc = @call_rule BinomialPolya(:y, Marginalisation) (q_x = q_x, q_n = q_n, q_β = q_β, meta = meta)
@@ -23,6 +23,4 @@
 
         @test pred_dist_mc.p ≈ pred_dist.p atol = 1e-2
     end
-
 end
-