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#!/usr/bin/env Rscript
#
# Copyright 2015 Google Inc. All rights reserved.
#
# 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.
source('tests/gen_counts.R')
# Usage:
#
# $ ./gen_true_values.R exp 100 10000 1 foo.csv
#
# Inputs:
# distribution name
# size of the distribution's support
# number of clients
# reports per client
# name of the output file
# Output:
# csv file with reports sampled according to the specified distribution.
GenerateTrueValues <- function(distr, distr_range, num_clients,
reports_per_client, num_cohorts) {
# Sums to 1.0, e.g. [0.2 0.2 0.2 0.2 0.2] for uniform distribution of 5.
pdf <- ComputePdf(distr, distr_range)
num_reports <- num_clients * reports_per_client
# Computes the number of clients reporting each value, where the numbers are
# sampled according to pdf. (sums to num_reports)
partition <- RandomPartition(num_reports, pdf)
value_ints <- rep(1:distr_range, partition) # expand partition
stopifnot(length(value_ints) == num_reports)
# Shuffle values randomly (may take a few sec for > 10^8 inputs)
value_ints <- sample(value_ints)
# Reported values are strings, so prefix integers "v". Even slower than
# shuffling.
values <- sprintf("v%d", value_ints)
# e.g. [1 1 2 2 3 3] if num_clients is 3 and reports_per_client is 2
client_ints <- rep(1:num_clients, each = reports_per_client)
# Cohorts are assigned to clients. Cohorts are 0-based.
cohorts <- client_ints %% num_cohorts # %% is integer modulus
clients <- sprintf("c%d", client_ints)
data.frame(client = clients, cohort = cohorts, value = values)
}
main <- function(argv) {
distr <- argv[[1]]
distr_range <- as.integer(argv[[2]])
num_clients <- as.integer(argv[[3]])
reports_per_client <- as.integer(argv[[4]])
num_cohorts <- as.integer(argv[[5]])
out_file <- argv[[6]]
reports <- GenerateTrueValues(distr, distr_range, num_clients,
reports_per_client, num_cohorts)
write.csv(reports, file = out_file, row.names = FALSE, quote = FALSE)
}
if (length(sys.frames()) == 0) {
main(commandArgs(TRUE))
}
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