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from aesara import tensor as at
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from aesara .graph .basic import graph_inputs , io_toposort
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from aesara .tensor .random .op import RandomVariable
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- from aesara .tensor .subtensor import (
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- AdvancedIncSubtensor ,
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- AdvancedIncSubtensor1 ,
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- AdvancedSubtensor ,
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- AdvancedSubtensor1 ,
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- IncSubtensor ,
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- Subtensor ,
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- )
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from aesara .tensor .var import TensorVariable
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from pymc .aesaraf import constant_fold , floatX
@@ -112,16 +104,6 @@ def _get_scaling(
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return at .as_tensor (coef , dtype = aesara .config .floatX )
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- subtensor_types = (
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- AdvancedIncSubtensor ,
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- AdvancedIncSubtensor1 ,
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- AdvancedSubtensor ,
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- AdvancedSubtensor1 ,
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- IncSubtensor ,
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- Subtensor ,
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- )
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-
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-
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def joint_logpt (* args , ** kwargs ):
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warnings .warn (
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"joint_logpt has been deprecated. Use joint_logp instead." ,
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