/// <summary>
/// Write the anonymized files and mapping from original data from the standard input.
/// </summary>
/// <param name="linked_col">Linked columns in each line of the standard input</param>
/// <param name="seed">Seed.</param>
public void write_from_console(int linked_col, int seed)
{
// We don't know the number of rows in advance. Take 10M and throw error if there are more incoming lines then this.
n_rows = 10000000;
var ks = new KnuthShuffle();
rand_perm = ks.get_random_permutation(n_rows, seed);
FileStream console_stream = (FileStream)Console.OpenStandardInput();
TextReader tr = new StreamReader(console_stream);
write_anonymized_file(tr, "generated.csv", linked_col);
tr.Close();
}
/// <summary>
/// Write the anonymized files and mapping from original data to anonymized values.
/// </summary>
/// <param name="input_file_names">File names.</param>
/// <param name="linked_cols">Linked columns.</param>
/// <param name="seed">Seed.</param>
public void write_from_files(string[] input_file_names, int[] linked_cols, int seed)
{
n_rows = 0;
int n_files = input_file_names.Length;
for (int i = 0; i < n_files; i++)
{
n_rows += countLineBreaksInFile(input_file_names [i]);
}
var ks = new KnuthShuffle();
rand_perm = ks.get_random_permutation(n_rows, seed);
for (int i = 0; i < n_files; i++)
{
TextReader tr = new StreamReader(input_file_names [i]);
write_anonymized_file(tr, input_file_names [i], linked_cols [i]);
tr.Close();
}
write_map("anonymizing_map.csv");
}
