Displaying 11 results from an estimated 11 matches for "random_valu".
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random_val
2017 Nov 03
1
Extreme bunching of random values from runif with Mersenne-Twister seed
..."
integer vector by hand.
> seeds = c(86548915L, 86551615L, 86566163L, 86577411L, 86584144L,
86584272L,
+ 86620568L, 86724613L, 86756002L, 86768593L, 86772411L, 86781516L,
+ 86794389L, 86805854L, 86814600L, 86835092L, 86874179L, 86876466L,
+ 86901193L, 86987847L, 86988080L)
>
> random_values = sapply(seeds, function(x) {
+ set.seed(x)
+ y = runif(1, 17, 26)
+ return(y)
+ })
>
> summary(random_values)
Min. 1st Qu. Median Mean 3rd Qu. Max.
25.13 25.36 25.66 25.58 25.83 25.94
> > We are facing a weird situation in our code when using R'...
2017 Nov 03
5
Extreme bunching of random values from runif with Mersenne-Twister seed
...ot;86756002", "86768593",
"86772411",
"86781516", "86794389", "86805854", "86814600", "86835092",
"86874179",
"86876466", "86901193", "86987847", "86988080")
random_values = sapply(seeds, function(x) {
set.seed(x)
y = runif(1, 17, 26)
return(y)
})
This gives values that are **extremely** bunched together.
> summary(random_values)
Min. 1st Qu. Median Mean 3rd Qu. Max.
25.13 25.36 25.66 25.58 25.83 25.94
T...
2005 Jul 26
3
Generating unique random tokens for ActiveRecord objects
I have an ActiveRecord subclass that needs to generate a random (hard
to guess) token for each record in its corresponding table. Currently
I''m doing something like this:
def before_create
self[''token''] = random_value
while self.class.find_by_token(self[''token''])
self[''token''] = random_value
end
end
(random_value is a method that generates a random value for the
token, not surprisingly.)
I can see a potential timing error there if a ro...
2017 Nov 03
2
Extreme bunching of random values from runif with Mersenne-Twister seed
...ot;86772411",
>> "86781516", "86794389", "86805854", "86814600", "86835092",
>> "86874179",
>> "86876466", "86901193", "86987847", "86988080")
>>
>> random_values = sapply(seeds, function(x) {
>> set.seed(x)
>> y = runif(1, 17, 26)
>> return(y)
>> })
>>
>> This gives values that are **extremely** bunched together.
>>
>> > summary(random_values)
>> Min. 1st Qu. Median...
2017 Nov 03
0
Extreme bunching of random values from runif with Mersenne-Twister seed
...uot;86768593", "86772411",
> "86781516", "86794389", "86805854", "86814600",
> "86835092", "86874179", "86876466", "86901193",
> "86987847", "86988080")
> random_values = sapply(seeds, function(x) {
> set.seed(x)
> y = runif(1, 17, 26)
> return(y)
> })
Why do you do that?
1) You should set the seed *once*, not multiple times in one simulation.
2) Assuming that your strings are correctly translated to integers
and the same...
2017 Nov 03
0
Extreme bunching of random values from runif with Mersenne-Twister seed
...8593",
> "86772411",
> "86781516", "86794389", "86805854", "86814600", "86835092",
> "86874179",
> "86876466", "86901193", "86987847", "86988080")
>
> random_values = sapply(seeds, function(x) {
> set.seed(x)
> y = runif(1, 17, 26)
> return(y)
> })
>
> This gives values that are **extremely** bunched together.
>
> > summary(random_values)
> Min. 1st Qu. Median Mean 3rd Qu. Max.
>...
2017 Nov 03
2
Extreme bunching of random values from runif with Mersenne-Twister seed
..."86781516", "86794389", "86805854", "86814600", "86835092",
>>>> "86874179",
>>>> "86876466", "86901193", "86987847", "86988080")
>>>>
>>>> random_values = sapply(seeds, function(x) {
>>>> set.seed(x)
>>>> y = runif(1, 17, 26)
>>>> return(y)
>>>> })
>>>>
>>>> This gives values that are **extremely** bunched together.
>>>>
>>>>...
2017 Nov 03
0
Extreme bunching of random values from runif with Mersenne-Twister seed
...gt;>> "86781516", "86794389", "86805854", "86814600", "86835092",
>>> "86874179",
>>> "86876466", "86901193", "86987847", "86988080")
>>>
>>> random_values = sapply(seeds, function(x) {
>>> set.seed(x)
>>> y = runif(1, 17, 26)
>>> return(y)
>>> })
>>>
>>> This gives values that are **extremely** bunched together.
>>>
>>> > summary(random_values)
>...
2017 Nov 05
0
Extreme bunching of random values from runif with Mersenne-Twister seed
...uot;, "86794389", "86805854", "86814600", "86835092",
>>>>> "86874179",
>>>>> "86876466", "86901193", "86987847", "86988080")
>>>>>
>>>>> random_values = sapply(seeds, function(x) {
>>>>> set.seed(x)
>>>>> y = runif(1, 17, 26)
>>>>> return(y)
>>>>> })
>>>>>
>>>>> This gives values that are **extremely** bunched together.
>>&g...
2017 Nov 04
0
Extreme bunching of random values from runif with Mersenne-Twister seed
...; > seeds = c(86548915L, 86551615L, 86566163L, 86577411L, 86584144L,
> 86584272L,
> + 86620568L, 86724613L, 86756002L, 86768593L, 86772411L, 86781516L,
> + 86794389L, 86805854L, 86814600L, 86835092L, 86874179L, 86876466L,
> + 86901193L, 86987847L, 86988080L)
> >
> > random_values = sapply(seeds, function(x) {
> + set.seed(x)
> + y = runif(1, 17, 26)
> + return(y)
> + })
> >
> > summary(random_values)
> Min. 1st Qu. Median Mean 3rd Qu. Max.
> 25.13 25.36 25.66 25.58 25.83 25.94
2010 Jun 02
0
Multiple threads writing to the same Starling queue doesn't work?
...rling queue at the "same time"?
It doesn''t seem reliable according to my tests - but maybe I am doing
something wrong.
If I do:
def test_starling
FooWorker.asynch_foo_test(:my_id => ''foo'')
temp = []
for i in 1..1000
temp << Thread.new(i) {|random_value| do_stuff(random_value)}
end
temp.each do |t|
t.join
end
end
def do_stuff(lvalue)
starling = Starling.new(''localhost:22122'')
starling.set(''foo'', :rvalue => lvalue)
end
# In FooWorker:
def foo_test(options)
starling = Starling.new(''...