symmray

symmray provides block-sparse arrays with abelian symmetries and fermionic signs. Its arrays follow the NumPy interface where possible and can store blocks using NumPy, PyTorch, JAX, or another autoray backend.

Key features include:

sparse and flat storage layouts
Z2, U1, Z2Z2, U1U1, and finite cyclic symmetries
local fermionic phase handling for arbitrary tensor-network geometries
contraction, fusion, reshaping, and blockwise linear algebra
tensor-network and Hamiltonian constructors for quimb

import symmray as sr

# some U(1) indices
a, b, c, d, e = [
    sr.utils.rand_index("U1", size, dual=False, seed=seed)
    for seed, size in enumerate((4, 6, 8, 5, 7))
]

# some fermionic arrays
X = sr.utils.get_rand(
    "U1",
    shape=(a, b, c.conj()),
    fermionic=True,
    seed=6,
)
Y = sr.utils.get_rand(
    "U1",
    shape=(c, d.conj(), e.conj()),
    fermionic=True,
    seed=7,
)

# contract them
Z = sr.einsum("abc,cde->abde", X, Y)

# fuse into a matrix
matrix = Z.reshape((4 * 6, 5 * 7))

# decompose
U, s, VH = sr.linalg.svd(matrix)
print(U)
# U1FermionicArray(ndim=2, charge=0, indices=[
#     (24 = 2+4+6+6+4+2 : +[-2,-1,0,1,2,3])
#         -2 ; (2) : [(-1, -1)]
#         -1 ; (2+2) : [(-1, 0),(0, -1)]
#         0 ; (2+2+2) : [(-1, 1),(0, 0),(1, -1)]
#         1 ; (2+2+2) : [(0, 1),(1, 0),(2, -1)]
#         2 ; (2+2) : [(1, 1),(2, 0)]
#         3 ; (2) : [(2, 1)]
#     (23 = 2+4+5+6+4+2 : -[-2,-1,0,1,2,3])
# ], num_blocks=6, backend=numpy, dtype=float64)

See the documentation for installation, guides, examples, and the API reference. Contributions are welcome; see the development guide and GitHub issues.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

symmray-0.3.0.tar.gz (704.5 kB view details)

Uploaded Aug 23, 2026 Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

symmray-0.3.0-py3-none-any.whl (138.2 kB view details)

Uploaded Aug 23, 2026 Python 3

File details

Details for the file symmray-0.3.0.tar.gz.

File metadata

Download URL: symmray-0.3.0.tar.gz
Upload date: Aug 23, 2026
Size: 704.5 kB
Tags: Source
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for symmray-0.3.0.tar.gz
Algorithm	Hash digest
SHA256	`3a479d12f95b5e724e8955aa45cb2c2e7808b38a039455c8b3241369885db7fd`
MD5	`2ba13b8df38a7e2d19cc73d4a78d6e40`
BLAKE2b-256	`90d81142e180b1fbfc6da598a04d9b72b75bc76a417ca4edd438dd480a0f6a17`

See more details on using hashes here.

Provenance

The following attestation bundles were made for symmray-0.3.0.tar.gz:

Publisher: pypi-release.yml on jcmgray/symmray

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: symmray-0.3.0.tar.gz
- Subject digest: 3a479d12f95b5e724e8955aa45cb2c2e7808b38a039455c8b3241369885db7fd
- Sigstore transparency entry: 2569281394
- Sigstore integration time: Aug 23, 2026
Source repository:
- Permalink: jcmgray/symmray@7a011826c526112fc49536f6c4fd1545eb7095a0
- Branch / Tag: refs/tags/v0.3.0
- Owner: https://github.com/jcmgray
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: pypi-release.yml@7a011826c526112fc49536f6c4fd1545eb7095a0
- Trigger Event: release