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# RandomArray

All Samples(11)  |  Call(0)  |  Derive(0)  |  Import(11)

```
import time
import RandomArray
def compare(m,Nobs,Ncodes,Nfeatures):
obs = RandomArray.normal(0.,1.,(Nobs,Nfeatures))
```

```
import time
import RandomArray

```

```
import time
import RandomArray
def compare(m,Nobs,Ncodes,Nfeatures):
obs = RandomArray.normal(0.,1.,(Nobs,Nfeatures))
```

```from pysparse.spmatrix import *
import RandomArray
import time

n = 1000
```

```from pysparse import spmatrix, jdsym, itsolvers
from numpy import zeros, dot, allclose, multiply
from math import sqrt
import RandomArray

```

```import Numeric
import math
import RandomArray

```

```import random
import Num
import RandomArray
import LinearAlgebra
import g_localfit
```

```	i = Numeric.array([[2, 0], [0, 1]], Numeric.Float)
print dsyevd(i)
import RandomArray
i = RandomArray.random((4,4)) + 1*Numeric.identity(4)
i = i + Numeric.transpose(i)
```

```def leaktest():
import RandomArray
while 1:
d = []
for i in range(100):
```

```