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#!/usr/bin/env julia
#
# @license Apache-2.0
#
# Copyright (c) 2018 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: var, Erlang
import JSON
"""
gen( k, lambda, name )
Generate fixture data and write to file.
# Arguments
* `x`: input value
* `k`: shape parameter
* `lambda`: rate parameter
* `name::AbstractString`: output filename
# Examples
``` julia
julia> k = rand( 1000 ) .* 10.0;
julia> lambda = rand( 1000 ) .* 10.0;
julia> gen( k, lambda, \"data.json\" );
```
"""
function gen( k, lambda, name )
z = Array{Float64}( undef, length(k) );
for i in eachindex(k)
z[ i ] = sqrt( var( Erlang( k[i], 1/lambda[i] ) ) );
end
# Store data to be written to file as a collection:
data = Dict([
("k", k),
("lambda", lambda),
("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) );
close( outfile );
end
# Get the filename:
file = @__FILE__;
# Extract the directory in which this file resides:
dir = dirname( file );
# Generate fixtures:
k = round.( Int, ( rand( 200 ) .* 10.0 ) .+ 10.0 );
lambda = ( rand( 200 ) .* 10.0 ) .+ 10.0;
gen( k, lambda, "data.json" );
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