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nexedi
dream
Commits
959c10c4
Commit
959c10c4
authored
Jan 22, 2015
by
Georgios Dagkakis
Committed by
Jérome Perrin
Feb 04, 2015
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Plain Diff
Triangular added to RandomNumberGenerator. Test added for this
parent
185e642f
Changes
2
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Showing
2 changed files
with
17 additions
and
2 deletions
+17
-2
dream/simulation/RandomNumberGenerator.py
dream/simulation/RandomNumberGenerator.py
+4
-2
dream/tests/testRandomNumberGenerator.py
dream/tests/testRandomNumberGenerator.py
+13
-0
No files found.
dream/simulation/RandomNumberGenerator.py
View file @
959c10c4
...
...
@@ -45,7 +45,7 @@ class RandomNumberGenerator(object):
unknownDistribution
=
True
for
key
in
distribution
.
keys
():
if
key
in
[
'Fixed'
,
'Normal'
,
'Exp'
,
'Gamma'
,
'Logistic'
,
'Erlang'
,
'Geometric'
,
'Lognormal'
,
'Weibull'
,
'Cauchy'
]:
'Geometric'
,
'Lognormal'
,
'Weibull'
,
'Cauchy'
,
'Triangular'
]:
unknownDistribution
=
False
break
if
unknownDistribution
:
...
...
@@ -60,7 +60,7 @@ class RandomNumberGenerator(object):
# pop irrelevant keys
for
key
in
distribution
.
keys
():
if
key
not
in
[
'Fixed'
,
'Normal'
,
'Exp'
,
'Gamma'
,
'Logistic'
,
'Erlang'
,
'Geometric'
,
'Lognormal'
,
'Weibull'
,
'Cauchy'
]:
'Geometric'
,
'Lognormal'
,
'Weibull'
,
'Cauchy'
,
'Triangular'
]:
distribution
.
pop
(
key
,
None
)
self
.
distribution
=
distribution
self
.
distributionType
=
distribution
.
keys
()[
0
]
...
...
@@ -138,6 +138,8 @@ class RandomNumberGenerator(object):
return
number
else
:
continue
elif
(
self
.
distributionType
==
"Triangular"
):
#if the distribution is Triangular
return
G
.
numpyRnd
.
random
.
triangular
(
left
=
self
.
min
,
right
=
self
.
max
,
mode
=
self
.
mean
)
else
:
raise
ValueError
(
"Unknown distribution %r used in %s %s"
%
(
self
.
distributionType
,
self
.
obj
.
__class__
,
self
.
obj
.
id
))
...
...
dream/tests/testRandomNumberGenerator.py
View file @
959c10c4
...
...
@@ -56,6 +56,19 @@ class RandomNumberGeneratorTestCase(TestCase):
self
.
assertTrue
(
number
>=
0
)
self
.
assertTrue
(
number
<=
3
)
def
testTriangular
(
self
):
rng
=
RandomNumberGenerator
(
obj
,
distribution
=
{
'Triangular'
:
{
'min'
:
1
,
'max'
:
3
,
'mean'
:
2
}
})
for
i
in
range
(
10
):
number
=
rng
.
generateNumber
()
self
.
assertTrue
(
number
>=
1
)
self
.
assertTrue
(
number
<=
3
)
def
testNormalWrongParameter
(
self
):
rng
=
RandomNumberGenerator
(
obj
,
distribution
=
{
'Normal'
:
...
...
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