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# Node.ZeroProbability

All Samples(10)  |  Call(4)  |  Derive(0)  |  Import(6)

```import numpy as np
from numpy import shape, size, ravel, zeros, ones, reshape, newaxis, broadcast, ndim, expand_dims
from .Node import Node, ZeroProbability, Variable, PotentialBase, StochasticBase, DeterministicBase
from . import Container
from .Container import DictContainer, ContainerBase, file_items, ArrayContainer
```
```            if self.verbose > 0:
raise ZeroProbability(
self.errmsg + ": %s" %
self._parents.value)
else:
raise ZeroProbability(self.errmsg)
```
```            if self.verbose > 0:
raise ZeroProbability(
self.errmsg + "\nValue: %s\nParents' values:%s" %
(self._value, self._parents.value))
else:
raise ZeroProbability(self.errmsg)
```

```from .PyMCObjects import Stochastic, Potential, Deterministic
from .Container import Container
from .Node import ZeroProbability, Node, Variable, StochasticBase
from .decorators import prop
from . import distributions
```

```from imp import load_dynamic
from .PyMCObjects import Stochastic, Deterministic, Potential
from .Node import ZeroProbability, ContainerBase, Node, StochasticMeta
from .Container import Container
import numpy as np
```

```__all__ = ['NormApproxMu', 'NormApproxC', 'MAP', 'NormApprox']

from .Node import ZeroProbability
from .Model import Model, Sampler
from numpy import zeros, inner, asmatrix, ndarray
```

```import numpy as np
from scipy.stats.kde import gaussian_kde
from .Node import ZeroProbability
from .PyMCObjects import Stochastic, Deterministic
from .CommonDeterministics import Lambda
```

```import copy