Multi Valued Array
Variable-length array for multivalued mappings — CSR-like storage with domain-codomain operations, reverse, cascade, and filtering.
Installation
pip install vcti-multi-valued-array>=1.6.0
In pyproject.toml dependencies
dependencies = [
"vcti-multi-valued-array>=1.6.0",
]
Quick Start
import numpy as np
from vcti.multivalued import MultiValuedArray, reverse, cascade
# Create: element 0 has values [10, 20], element 1 has [30], element 2 has [40, 50, 60]
mva = MultiValuedArray(counts=np.array([2, 1, 3]), values=np.array([10, 20, 30, 40, 50, 60]))
mva.counts() # array([2, 1, 3])
mva.offsets() # array([0, 2, 3, 6])
mva.values() # array([10, 20, 30, 40, 50, 60])
mva.value_indices() # array([0, 0, 1, 2, 2, 2]) — which element each value belongs to
# With domain and codomain metadata
faces = np.array([(1, 1), (2, 2)], dtype=[('id', 'u4'), ('type', 'u4')])
vertices = np.array([(1, 0., 0.), (2, 2., 0.), (3, 3., 1.), (4, 2., 2.), (5, 0., 2.)],
dtype=[('id', 'u4'), ('x', 'f4'), ('y', 'f4')])
connectivity = MultiValuedArray(
counts=np.array([4, 3], dtype=np.uint32),
values=np.array([0, 1, 3, 4, 1, 2, 3], dtype=np.uint32),
domain=faces,
codomain=vertices,
)
# Reverse: for each vertex, which faces contain it
node_faces = reverse(connectivity)
Core API
MultiValuedArray
| Method | Description |
|---|---|
counts() |
Number of values per element (lazy from offsets) |
offsets() |
Cumulative positions into values (lazy from counts) |
values() |
Flat array of all values |
value_indices() |
Maps each value to its element index |
domain() |
Domain element identifiers |
codomain() |
Codomain element identifiers |
set_values(values) |
Set/replace values array |
len(mva) |
Number of elements (domain size) |
mva[i] |
Values for element at index i |
for v in mva |
Iterate over element value slices |
mva == other |
Structural equality check |
Operations
| Function | Description |
|---|---|
reverse(mva) |
Invert mapping (A->B becomes B->A) |
cascade(ab, bc) |
Compose mappings (A->B + B->C = A->C) |
concatenate(a, b) |
Vertically stack two arrays |
sort_and_unique(mva) |
Sort and deduplicate values per element |
non_negative_array(src) |
Extract non-negative values from 2D array |
from_joint_counts_and_values_array(arr) |
Parse interleaved format |
get_counts_values_array(mva) |
Convert to interleaved format |
get_chunk(mva, a, b) |
Extract elements [a:b] |
Dependencies
- numpy (>=1.24)
- numba (>=0.59) — JIT compilation for performance-critical loops
- vcti-nputils (>=1.0.0) — position_array, as_ndarray
1 maintainer
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