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ParametersReturns
_parse_possible_contraction(positions, input_sets, output_set, idx_dict, memory_limit, path_cost, naive_cost)

Parameters

positions : tuple of int
input_sets : list of sets
output_set : set
idx_dict : dict
memory_limit : int
path_cost : int
naive_cost : int

Returns

cost : (int, int)
positions : tuple of int
new_input_sets : list of sets

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


GitHub : /numpy/core/einsumfunc.py#215
type: <class 'function'>
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