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# Tests for the module zsh/mathfunc

%prep
  if ( zmodload -i zsh/mathfunc ) >/dev/null 2>&1; then
    zmodload -i zsh/mathfunc
  else
    ZTST_unimplemented="The module zsh/mathfunc is not available."
  fi

%test
  # -g makes pi available in later tests
  float -gF 5 pi
  (( pi = 4 * atan(1.0) ))
  print $pi
0:Basic operation with atan
>3.14159

  float -F 5 result
  (( result = atan(3,2) ))
  print $result
0:atan with two arguments
>0.98279

  print $(( atan(1,2,3) ))
1:atan can't take three arguments
?(eval):1: wrong number of arguments: atan(1,2,3)

  float r1=$(( rand48() ))
  float r2=$(( rand48() ))
  float r3=$(( rand48() ))
  # Yes, this is a floating point equality test like they tell
  # you not to do.  As the pseudrandom sequence is deterministic,
  # this is the right thing to do in this case.
  if (( r1 == r2 )); then
    print "Seed not updated correctly the first time"
  else
    print "First two random numbers differ, OK"
  fi
  if (( r2 == r3 )); then
    print "Seed not updated correctly the second time"
  else
    print "Second two random numbers differ, OK"
  fi
0:rand48 with default initialisation
F:This test fails if your math library doesn't have erand48().
>First two random numbers differ, OK
>Second two random numbers differ, OK

  seed=f45677a6cbe4
  float r1=$(( rand48(seed) ))
  float r2=$(( rand48(seed) ))
  seed2=$seed
  float r3=$(( rand48(seed) ))
  float r4=$(( rand48(seed2) ))
  # Yes, this is a floating point equality test like they tell
  # you not to do.  As the pseudrandom sequence is deterministic,
  # this is the right thing to do in this case.
  if (( r1 == r2 )); then
    print "Seed not updated correctly the first time"
  else
    print "First two random numbers differ, OK"
  fi
  if (( r2 == r3 )); then
    print "Seed not updated correctly the second time"
  else
    print "Second two random numbers differ, OK"
  fi
  if (( r3 == r4 )); then
    print "Identical seeds generate identical numbers, OK"
  else
    print "Indeterminate result from identical seeds"
  fi
0:rand48 with pre-generated seed
F:This test fails if your math library doesn't have erand48().
>First two random numbers differ, OK
>Second two random numbers differ, OK
>Identical seeds generate identical numbers, OK

  float -F 5 pitest
  (( pitest = 4.0 * atan(1) ))
  # This is a string test of the output to 5 digits.
  if [[ $pi = $pitest ]]; then
    print "OK, atan on an integer seemed to work"
  else
    print "BAD: got $pitest instead of $pi"
  fi
0:Conversion of arguments from integer
>OK, atan on an integer seemed to work

  float -F 5 result
  typeset str
  for str in 0 0.0 1 1.5 -1 -1.5; do
    (( result = abs($str) ))
    print $result
  done
0:Use of abs on various numbers
>0.00000
>0.00000
>1.00000
>1.50000
>1.00000
>1.50000

   print $(( sqrt(-1) ))
1:Non-negative argument checking for square roots.
?(eval):1: math: argument to sqrt out of range

# Simple test that the pseudorandom number generators are producing
# something that could conceivably be pseudorandom numbers in a
# linear range.  Not a detailed quantitative verification.
  integer N=10000 isource ok=1
  float -F f sum sumsq max max2 av sd
  typeset -a randoms
  randoms=('f = RANDOM' 'f = rand48()')
  zmodload -i zsh/mathfunc
  for isource in 1 2; do
    (( sum = sumsq = max = 0 ))
    repeat $N; do
      let $randoms[$isource]
      (( f > max )) && (( max = f ))
      (( sum += f, sumsq += f * f ))
    done
    (( av = sum / N ))
    (( sd = sqrt((sumsq - N * av * av) / (N-1)) ))
    (( max2 = 0.5 * max ))
    if (( av > max2 * 1.1 )) || (( av < max2 * 0.9 )); then
      print "WARNING: average of random numbers is suspicious.
  Was testing: $randoms[$isource]"
      (( ok = 0 ))
    fi
    if (( sd < max / 4 )); then
      print "WARNING: distribution of random numbers is suspicious.
  Was testing: $randoms[$isource]"
      (( ok = 0 ))
    fi
  done
  (( ok ))
0:Test random number generator distributions are not grossly broken

  float -F 5 g l
  (( g = gamma(2), l = lgamma(2) ))
  print $g, $l
0:Test Gamma function gamma and lgamma
>1.00000, 0.00000