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# this work for additional information regarding copyright ownership.
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#
#     http://www.apache.org/licenses/LICENSE-2.0
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# Original bounds that are fully positive
# STATISTICS-92
parameters = 1.0, 0.1, 0.7, 1.3
# Computed using Python with SciPy v1.16.3:
# mean, std, clip_a, clip_b = 1.0, 0.1, 0.7, 1.3
# a, b = (clip_a - mean) / std, (clip_b - mean) / std
# truncnorm.var(a, b, loc=mean, scale=std)
mean = 1.0
variance = 0.009733369246625417
lower = 0.7
upper = 1.3
cdf.points = \
  0.55, 0.65, 0.75, 0.85, 0.95, 1.05, 1.15, 1.25, 1.35
cdf.values = \
  0.                 , 0.                 , 0.00487292319299906,\
  0.06563450301006861, 0.30801922979837476, 0.6919807702016253 ,\
  0.9343654969899313 , 0.995127076807001  , 1.
pdf.values = \
  0.                 , 0.                 , 0.17575751438109988,\
  1.298682133570557  , 3.530184044629268  , 3.530184044629268  ,\
  1.2986821335705594 , 0.17575751438109988, 0.
