- (1)
- In the strict mode, the performance of Numerics.Float_Random and
Numerics.Discrete_Random shall be as specified here.
Implementation Requirements
- (2)
- Two different calls to the time-dependent Reset procedure shall reset the
generator to different states, provided that the calls are separated in time
by at least one second and not more than fifty years.
- (3)
- The implementation's representations of generator states and its
algorithms for generating random numbers shall yield a period of at least
2**31 - 2; much longer periods are desirable but not required.
- (4)
- The implementations of Numerics.Float_Random.Random and Numerics.Discrete_Random.Random shall pass at least 85% of the individual trials in a
suite of statistical tests. For Numerics.Float_Random, the tests are applied
directly to the floating point values generated (i.e., they are not converted
to integers first), while for Numerics.Discrete_Random they are applied to
the generated values of various discrete types. Each test suite performs 6
different tests, with each test repeated 10 times, yielding a total of 60
individual trials. An individual trial is deemed to pass if the chi-square
value (or other statistic) calculated for the observed counts or distribution
falls within the range of values corresponding to the 2.5 and 97.5 percentage
points for the relevant degrees of freedom (i.e., it shall be neither too
high nor too low). For the purpose of determining the degrees of freedom,
measurement categories are combined whenever the expected counts are fewer
than 5.
-- Email comments, additions, corrections, gripes, kudos, etc. to:
Magnus Kempe -- Magnus.Kempe@di.epfl.ch
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