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description: A expression of NodeTensor objects.

s2t.Prensor

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A expression of NodeTensor objects.

s2t.Prensor(
    node: s2t.NodeTensor,
    children: "collections.OrderedDict[path.Step, Prensor]"
)

Args

`node` the NodeTensor of the root.
`children` a map from edge to subexpression.

Attributes

`is_leaf` True iff the node value is a LeafNodeTensor.
`node` The node of the root of the subtree.

Methods

field_names

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field_names() -> FrozenSet[s2t.Step]

Returns the field names of the children.

get_child

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get_child(
    field_name: s2t.Step
) -> Optional['Prensor']

Gets the child at field_name.

get_child_or_error

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get_child_or_error(
    field_name: s2t.Step
) -> "Prensor"

Gets the child at field_name.

get_children

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get_children() -> "collections.OrderedDict[path.Step, Prensor]"

A map from field name to subexpression.

get_descendant

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get_descendant(
    p: s2t.Path
) -> Optional['Prensor']

Finds the descendant at the path.

get_descendant_or_error

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get_descendant_or_error(
    p: s2t.Path
) -> "Prensor"

Finds the descendant at the path.

get_descendants

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get_descendants() -> Mapping[path.Path, 'Prensor']

A map from paths to all subexpressions.

get_ragged_tensor

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get_ragged_tensor(
    p: s2t.Path,
    options: calculate_options.Options = calculate_options.get_default_options()
) -> tf.RaggedTensor

Get a ragged tensor for a path.

All steps are represented in the ragged tensor.

Args
`p` the path to a leaf node in `t`.
`options` Options for calculating ragged tensors.
Returns
A ragged tensor containing values of the leaf node, preserving the structure along the path. Raises an error if the path is not found.

get_ragged_tensors

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get_ragged_tensors(
    options: calculate_options.Options = calculate_options.get_default_options()
) -> Mapping[s2t.Path, tf.RaggedTensor]

Gets ragged tensors for all the leaves of the prensor expression.

Args
`options` Options for calculating ragged tensors.
Returns
A map from paths to ragged tensors.

get_sparse_tensor

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get_sparse_tensor(
    p: s2t.Path,
    options: calculate_options.Options = calculate_options.get_default_options()
) -> tf.SparseTensor

Gets a sparse tensor for path p.

Note that any optional fields are not registered as dimensions, as they can't be represented in a sparse tensor.

Args
`p` The path to a leaf node in `t`.
`options` Currently unused.
Returns
A sparse tensor containing values of the leaf node, preserving the structure along the path. Raises an error if the path is not found.

get_sparse_tensors

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get_sparse_tensors(
    options: calculate_options.Options = calculate_options.get_default_options()
) -> Mapping[s2t.Path, tf.SparseTensor]

Gets sparse tensors for all the leaves of the prensor expression.

Args
`options` Currently unused.
Returns
A map from paths to sparse tensors.