feat: implement 2D and 3D taxicab (Manhattan) metrics#35
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divye-joshi wants to merge 1 commit intoINCF:masterfrom
Open
feat: implement 2D and 3D taxicab (Manhattan) metrics#35divye-joshi wants to merge 1 commit intoINCF:masterfrom
divye-joshi wants to merge 1 commit intoINCF:masterfrom
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Description
This PR implements the Taxicab (Manhattan) metric for 2D and 3D geometries. This is an essential distance metric ($L_1$ norm) often used in neural models where connectivity is constrained to grid-like paths or modular structures.
Changes Made
csa/geometry.py: AddedtaxicabDistance2d,taxicabMetric2d,taxicabDistance3d, andtaxicabMetric3d.Why this is essential
The library currently only supports Euclidean ($L_2$ ) metrics. Providing a Taxicab alternative allows users to define masks like $d$ is a Manhattan metric, which is a common requirement in computational neuroscience for rectilinear architectures.
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