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#!/usr/bin/env Rscript
#
# @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.
# Set the precision to 16 digits:
options( digits = 16 );
#' Run benchmarks.
#'
#' @examples
#' main();
main <- function() {
# Define benchmark parameters:
name <- "digamma";
iterations <- 1000000L;
repeats <- 3;
#' Print the TAP version.
#'
#' @examples
#' print_version();
print_version <- function() {
cat( "TAP version 13\n" );
}
#' Print the TAP summary.
#'
#' @param total Total number of tests.
#' @param passing Total number of passing tests.
#'
#' @examples
#' print_summary( 3, 3 );
print_summary <- function( total, passing ) {
cat( "#\n" );
cat( paste0( "1..", total, "\n" ) ); # TAP plan
cat( paste0( "# total ", total, "\n" ) );
cat( paste0( "# pass ", passing, "\n" ) );
cat( "#\n" );
cat( "# ok\n" );
}
#' Print benchmark results.
#'
#' @param iterations Number of iterations.
#' @param elapsed Elapsed time in seconds.
#'
#' @examples
#' print_results( 10000L, 0.131009101868 );
print_results <- function( iterations, elapsed ) {
rate <- iterations / elapsed;
cat( " ---\n" );
cat( paste0( " iterations: ", iterations, "\n" ) );
cat( paste0( " elapsed: ", elapsed, "\n" ) );
cat( paste0( " rate: ", rate, "\n" ) );
cat( " ...\n" );
}
#' Run a benchmark.
#'
#' ## Notes
#'
#' * We compute and return a total "elapsed" time, rather than the minimum
#' evaluation time, to match benchmark results in other languages (e.g.,
#' Python).
#'
#'
#' @param iterations Number of Iterations.
#' @return Elapsed time in seconds.
#'
#' @examples
#' elapsed <- benchmark( 10000L );
benchmark <- function( iterations ) {
# Run the benchmarks:
results <- microbenchmark::microbenchmark( digamma( (1000.0*runif(1)) + 2.5e-16 ), times = iterations );
# Sum all the raw timing results to get a total "elapsed" time:
elapsed <- sum( results$time );
# Convert the elapsed time from nanoseconds to seconds:
elapsed <- elapsed / 1.0e9;
return( elapsed );
}
print_version();
for ( i in 1:repeats ) {
cat( paste0( "# r::", name, "\n" ) );
elapsed <- benchmark( iterations );
print_results( iterations, elapsed );
cat( paste0( "ok ", i, " benchmark finished", "\n" ) );
}
print_summary( repeats, repeats );
}
main();
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