diff options
Diffstat (limited to 'numpy/oldnumeric/rng.py')
| -rw-r--r-- | numpy/oldnumeric/rng.py | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/numpy/oldnumeric/rng.py b/numpy/oldnumeric/rng.py index fcf08bb37..b4c72a68c 100644 --- a/numpy/oldnumeric/rng.py +++ b/numpy/oldnumeric/rng.py @@ -4,9 +4,9 @@ # It is for backwards compatibility only. -__all__ = ['CreateGenerator','ExponentialDistribution','LogNormalDistribution','NormalDistribution', - 'UniformDistribution', 'error', 'default_distribution', 'random_sample', 'ranf', - 'standard_generator'] +__all__ = ['CreateGenerator','ExponentialDistribution','LogNormalDistribution', + 'NormalDistribution', 'UniformDistribution', 'error', 'ranf', + 'default_distribution', 'random_sample', 'standard_generator'] import numpy.random.mtrand as mt import math @@ -44,7 +44,7 @@ class ExponentialDistribution(Distribution): return 0.0 else: lambda_ = self._args[0] - return lambda_*exp(-lambda_*x) + return lambda_*math.exp(-lambda_*x) class LogNormalDistribution(Distribution): def __init__(self, m, s): @@ -61,7 +61,7 @@ class LogNormalDistribution(Distribution): def density(x): m,s = self._args y = (math.log(x)-self._mn)/self._sn - return self._fac*exp(-0.5*y*y)/x + return self._fac*math.exp(-0.5*y*y)/x class NormalDistribution(Distribution): @@ -76,7 +76,7 @@ class NormalDistribution(Distribution): def density(x): m,s = self._args y = (x-m)/s - return self._fac*exp(-0.5*y*y) + return self._fac*math.exp(-0.5*y*y) class UniformDistribution(Distribution): def __init__(self, a, b): |