style: align outliers in stats/base/dists/logistic with namespace majority patterns

lib/node_modules/@stdlib/stats/base/dists/logistic/stdev/test/fixtures/julia/REQUIRE

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+Distributions 0.23.8
+julia 1.5
+JSON 0.21

lib/node_modules/@stdlib/stats/base/dists/logistic/stdev/test/fixtures/julia/runner.jl

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+#!/usr/bin/env julia
+#
+# @license Apache-2.0
+#
+# Copyright (c) 2026 The Stdlib Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import Distributions: std, Logistic
+import JSON
+
+"""
+	gen( mu, s, name )
+
+Generate fixture data and write to file.
+
+# Arguments
+
+* `mu`: location parameter
+* `s`: scale parameter
+* `name::AbstractString`: output filename
+
+# Examples
+
+``` julia
+julia> mu = rand( 1000 ) .* -10.0;
+julia> s = rand( 1000 ) .* 5.0;
+julia> gen( mu, s, "data.json" );
+```
+"""
+function gen( mu, s, name )
+	z = Array{Float64}( undef, length(mu) );
+	for i in eachindex(mu)
+		z[ i ] = std( Logistic( mu[i], s[i] ) );
+	end
+
+	# Store data to be written to file as a collection:
+	data = Dict([
+		("mu", mu),
+		("s", s),
+		("expected", z)
+	]);
+
+	# Based on the script directory, create an output filepath:
+	filepath = joinpath( dir, name );
+
+	# Write the data to the output filepath as JSON:
+	outfile = open( filepath, "w" );
+	write( outfile, JSON.json(data) );
+	write( outfile, "\n" );
+	close( outfile );
+end
+
+# Get the filename:
+file = @__FILE__;
+
+# Extract the directory in which this file resides:
+dir = dirname( file );
+
+# Generate fixtures:
+mu = rand( 100 ) .* 2.0 .- 4.0;
+s = rand( 100 ) .* 5.0;
+gen( mu, s, "data.json" );