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#acl All:read

Here are some sample trace files for use in your simulation assignments.

The naming pattern `uniform-X-Y-Z.dat` is a ''Uniform(X,Y)'' distribution; a `P` represents a ''decimal point'' in the naming convention.  `Z` is simply a "globbing" parameter to collect different trace file sets into smaller ZIP file downloads.

These really are random numbers, you may mix and match between `Z` sets.  If you '''combine''' files be sure to combine like distributions.

  * https://cs.mcprogramming.com/static/sim/sim-traces-00.zip
  * https://cs.mcprogramming.com/static/sim/sim-traces-01.zip
  * https://cs.mcprogramming.com/static/sim/sim-traces-02.zip

This archive contains seven different sequences of ''Uniform(0,1)''

  * https://cs.mcprogramming.com/static/sim/sim-traces-0-1.zip

The `unzip(1L)` utility can be used to inspect and unroll these archive files, eg:

{{{
$ unzip -l sim-traces-00.zip
}}}

On a Linux or Mac (FreeBSD) system, you can use `bash(1)` process redirection to select different sequences of values from the files.  Suppose
you know your `SIM` accepts the first argument as a pRNG stream and rarely uses more than 9000 $u$s, then
{{{
$ ./SIM <(sed -n 'X,$p')
}}}
replacing `X` with 1, 9000, 18000, 27000, ... would provide a different sequence of random values to your `SIM` for each `X` used.  (The `sed(1)` commandline parameters are for (`-n`) don't print out lines by default, (`X,$`) consider only line numbers `X` through the end of file, and (`p`) print out all considered lines.)

On a Windows system (I am an intentionally inexperienced at these devices) there may be an elegant solution at the command line but I'm unaware of it.  Consider reading an environmental variable, maybe `TRACEOFFSET=27000` in your code and simply skip through that many entries when opening up `uniform-0-1-*.dat`.  This solution would also certainly work on `*nix`.