passagemath-categories

passagemath is open source mathematical software in Python, released under the GNU General Public Licence GPLv2+.

It is a fork of SageMath, which has been developed 2005-2026 under the motto “Creating a Viable Open Source Alternative to Magma, Maple, Mathematica, and MATLAB”.

The passagemath fork uses the motto “Creating a Free Passage Between the Scientific Python Ecosystem and Mathematical Software Communities.” It was created in October 2024 with the following goals:

providing modularized installation with pip from binary wheels, - this major project was started in May 2020 in the Sage codebase and completed in passagemath 10.5.29 (May 2025),
establishing first-class membership in the scientific Python ecosystem,
giving clear attribution of upstream projects,
providing independently usable Python interfaces to upstream libraries,
offering platform portability and integration testing services to upstream projects,
inviting collaborations with upstream projects,
building a professional, respectful, inclusive community,
empowering Sage users to participate in the scientific Python ecosystem by publishing packages,
developing a port to WebAssembly (Pyodide, emscripten-forge) for serverless deployment with Javascript,
developing a native Windows port - passagemath 10.6.1 (July 2025) published the first pip-installable wheel packages for native Windows on x86_64, - passagemath packages became available in the [MSYS2 software distribution](https://packages.msys2.org/search?t=pkg&q=passagemath) in November 2025.

Moreover, the passagemath project:

provides a stable, frequently updated version of the Sage distribution,
integrates additional mathematical software, notably Macaulay2, a full set of GAP packages, and the Combinatorial Matrix Recognition library,
curates a library of Sage user packages.

Full documentation is available online.

passagemath attempts to support and provides binary wheels suitable for all major Linux distributions and recent versions of macOS.

Binary wheels for native Windows (x86_64, ARM) are are available for a subset of the passagemath distributions. Use of the full functionality of passagemath on Windows currently requires the use of Windows Subsystem for Linux (WSL) or virtualization.

The supported Python versions in the passagemath-10.8.x series are 3.11.x-3.14.x; the passagemath-10.6.x series (EOL 2026-10) still supports Python 3.10.x.

About this pip-installable distribution package

The pip-installable distribution package passagemath-categories is a distribution of a small part of the Sage Library.

It provides a small subset of the modules of the Sage library (“sagelib”, passagemath-standard) building on top of passagemath-objects (providing Sage objects, the element/parent framework, categories, the coercion system and the related metaclasses), making various additional categories available without introducing dependencies on additional mathematical libraries.

What is included

Structure, Coercion framework, Base Classes, Metaclasses
Categories and functorial constructions
Sets
Basic Combinatorial and Data Structures: Binary trees, Bitsets, Permutations, Combinations
Basic Rings and Fields: Integers, Rationals, Double Precision Reals, Z/nZ
Commutative Polynomials, Power Series and Laurent Series, Rational Function Fields
Arithmetic Functions, Elementary and Special Functions as generic entry points
Base classes for Groups, Rings, Finite Fields, Number Fields, Schemes
Facilities for Parallel Computing, Formatted Output

Available in other distribution packages

passagemath-combinat: Algebraic combinatorics, combinatorial representation theory
passagemath-graphs: Graphs, posets, hypergraphs, designs, abstract complexes, combinatorial polyhedra, abelian sandpiles, quivers
passagemath-groups: Groups, invariant theory
passagemath-modules: Vectors, matrices, tensors, vector spaces, affine spaces, modules and algebras, additive groups, quadratic forms, root systems, homology, coding theory, matroids
passagemath-plot: Plotting and graphics with Matplotlib, Three.JS, etc.
passagemath-polyhedra: Convex polyhedra in arbitrary dimension, triangulations, polyhedral fans, lattice points, geometric complexes, hyperplane arrangements
passagemath-repl: IPython REPL, the interactive language of Passagemath (preparser), interacts, development tools
passagemath-schemes: Schemes, varieties, Groebner bases, elliptic curves, algebraic Riemann surfaces, modular forms, arithmetic dynamics
passagemath-symbolics: Symbolic expressions, calculus, differentiable manifolds, asymptotics

Dependencies

When building from source, development packages of gmp, mpfr, and mpc are needed.

Download files

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

Source Distribution

passagemath_categories-10.8.7.tar.gz (2.9 MB view details)

Uploaded Jul 25, 2026 Source

Built Distributions

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.

passagemath_categories-10.8.7-cp314-cp314t-win_arm64.whl (10.2 MB view details)

Uploaded Jul 23, 2026 CPython 3.14tWindows ARM64

passagemath_categories-10.8.7-cp314-cp314t-win_amd64.whl (11.8 MB view details)

Uploaded Jul 23, 2026 CPython 3.14tWindows x86-64

passagemath_categories-10.8.7-cp314-cp314t-musllinux_1_2_x86_64.whl (49.5 MB view details)

Uploaded Jul 23, 2026 CPython 3.14tmusllinux: musl 1.2+ x86-64

passagemath_categories-10.8.7-cp314-cp314t-musllinux_1_2_aarch64.whl (49.1 MB view details)

Uploaded Jul 23, 2026 CPython 3.14tmusllinux: musl 1.2+ ARM64

passagemath_categories-10.8.7-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (49.2 MB view details)

Uploaded Jul 23, 2026 CPython 3.14tmanylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

passagemath_categories-10.8.7-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (50.3 MB view details)

Uploaded Jul 23, 2026 CPython 3.14tmanylinux: glibc 2.24+ ARM64manylinux: glibc 2.28+ ARM64

passagemath_categories-10.8.7-cp314-cp314t-macosx_13_0_x86_64.whl (11.0 MB view details)

Uploaded Jul 23, 2026 CPython 3.14tmacOS 13.0+ x86-64

passagemath_categories-10.8.7-cp314-cp314t-macosx_13_0_arm64.whl (11.0 MB view details)

Uploaded Jul 23, 2026 CPython 3.14tmacOS 13.0+ ARM64

passagemath_categories-10.8.7-cp314-cp314-win_arm64.whl (9.8 MB view details)

Uploaded Jul 23, 2026 CPython 3.14Windows ARM64

passagemath_categories-10.8.7-cp314-cp314-win_amd64.whl (10.5 MB view details)

Uploaded Jul 23, 2026 CPython 3.14Windows x86-64

passagemath_categories-10.8.7-cp314-cp314-musllinux_1_2_x86_64.whl (46.3 MB view details)

Uploaded Jul 23, 2026 CPython 3.14musllinux: musl 1.2+ x86-64

passagemath_categories-10.8.7-cp314-cp314-musllinux_1_2_aarch64.whl (45.3 MB view details)

Uploaded Jul 23, 2026 CPython 3.14musllinux: musl 1.2+ ARM64

passagemath_categories-10.8.7-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (45.6 MB view details)

Uploaded Jul 23, 2026 CPython 3.14manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

passagemath_categories-10.8.7-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (45.2 MB view details)

Uploaded Jul 23, 2026 CPython 3.14manylinux: glibc 2.24+ ARM64manylinux: glibc 2.28+ ARM64

passagemath_categories-10.8.7-cp314-cp314-macosx_13_0_x86_64.whl (10.5 MB view details)

Uploaded Jul 23, 2026 CPython 3.14macOS 13.0+ x86-64

passagemath_categories-10.8.7-cp314-cp314-macosx_13_0_arm64.whl (10.5 MB view details)

Uploaded Jul 23, 2026 CPython 3.14macOS 13.0+ ARM64

passagemath_categories-10.8.7-cp313-cp313-win_arm64.whl (9.6 MB view details)

Uploaded Jul 23, 2026 CPython 3.13Windows ARM64

passagemath_categories-10.8.7-cp313-cp313-win_amd64.whl (10.4 MB view details)

Uploaded Jul 23, 2026 CPython 3.13Windows x86-64

passagemath_categories-10.8.7-cp313-cp313-musllinux_1_2_x86_64.whl (46.7 MB view details)

Uploaded Jul 23, 2026 CPython 3.13musllinux: musl 1.2+ x86-64

passagemath_categories-10.8.7-cp313-cp313-musllinux_1_2_aarch64.whl (45.3 MB view details)

Uploaded Jul 23, 2026 CPython 3.13musllinux: musl 1.2+ ARM64

passagemath_categories-10.8.7-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (46.1 MB view details)

Uploaded Jul 23, 2026 CPython 3.13manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

passagemath_categories-10.8.7-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (45.3 MB view details)

Uploaded Jul 23, 2026 CPython 3.13manylinux: glibc 2.24+ ARM64manylinux: glibc 2.28+ ARM64

passagemath_categories-10.8.7-cp313-cp313-macosx_13_0_x86_64.whl (10.5 MB view details)

Uploaded Jul 23, 2026 CPython 3.13macOS 13.0+ x86-64

passagemath_categories-10.8.7-cp313-cp313-macosx_13_0_arm64.whl (10.5 MB view details)

Uploaded Jul 23, 2026 CPython 3.13macOS 13.0+ ARM64

passagemath_categories-10.8.7-cp312-cp312-win_arm64.whl (9.6 MB view details)

Uploaded Jul 23, 2026 CPython 3.12Windows ARM64

passagemath_categories-10.8.7-cp312-cp312-win_amd64.whl (10.4 MB view details)

Uploaded Jul 23, 2026 CPython 3.12Windows x86-64

passagemath_categories-10.8.7-cp312-cp312-musllinux_1_2_x86_64.whl (47.1 MB view details)

Uploaded Jul 23, 2026 CPython 3.12musllinux: musl 1.2+ x86-64

passagemath_categories-10.8.7-cp312-cp312-musllinux_1_2_aarch64.whl (45.6 MB view details)

Uploaded Jul 23, 2026 CPython 3.12musllinux: musl 1.2+ ARM64

passagemath_categories-10.8.7-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (46.5 MB view details)

Uploaded Jul 23, 2026 CPython 3.12manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

passagemath_categories-10.8.7-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (45.7 MB view details)

Uploaded Jul 23, 2026 CPython 3.12manylinux: glibc 2.24+ ARM64manylinux: glibc 2.28+ ARM64

passagemath_categories-10.8.7-cp312-cp312-macosx_13_0_x86_64.whl (10.6 MB view details)

Uploaded Jul 23, 2026 CPython 3.12macOS 13.0+ x86-64

passagemath_categories-10.8.7-cp312-cp312-macosx_13_0_arm64.whl (10.5 MB view details)

Uploaded Jul 23, 2026 CPython 3.12macOS 13.0+ ARM64

passagemath_categories-10.8.7-cp311-cp311-win_arm64.whl (9.6 MB view details)

Uploaded Jul 23, 2026 CPython 3.11Windows ARM64

passagemath_categories-10.8.7-cp311-cp311-win_amd64.whl (10.4 MB view details)

Uploaded Jul 23, 2026 CPython 3.11Windows x86-64

passagemath_categories-10.8.7-cp311-cp311-musllinux_1_2_x86_64.whl (47.7 MB view details)

Uploaded Jul 23, 2026 CPython 3.11musllinux: musl 1.2+ x86-64

passagemath_categories-10.8.7-cp311-cp311-musllinux_1_2_aarch64.whl (46.6 MB view details)

Uploaded Jul 23, 2026 CPython 3.11musllinux: musl 1.2+ ARM64

passagemath_categories-10.8.7-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (46.8 MB view details)

Uploaded Jul 23, 2026 CPython 3.11manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

passagemath_categories-10.8.7-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (46.4 MB view details)

Uploaded Jul 23, 2026 CPython 3.11manylinux: glibc 2.24+ ARM64manylinux: glibc 2.28+ ARM64

passagemath_categories-10.8.7-cp311-cp311-macosx_13_0_x86_64.whl (10.5 MB view details)

Uploaded Jul 23, 2026 CPython 3.11macOS 13.0+ x86-64

passagemath_categories-10.8.7-cp311-cp311-macosx_13_0_arm64.whl (10.5 MB view details)

Uploaded Jul 23, 2026 CPython 3.11macOS 13.0+ ARM64

File details

Details for the file passagemath_categories-10.8.7.tar.gz.

File metadata

Download URL: passagemath_categories-10.8.7.tar.gz
Upload date: Jul 25, 2026
Size: 2.9 MB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.13.14

File hashes

Hashes for passagemath_categories-10.8.7.tar.gz
Algorithm	Hash digest
SHA256	`5691b50dfd9e75fa866f08f4a70995988739a3fd8399784e1cb134c74224c48b`
MD5	`123a30739600ba58c98b93efc9b2e9e7`
BLAKE2b-256	`cc46ca73ae9347e99621f76aeacd057ae3a1b67f0552e13301d0e548adba7eee`

Algorithm	Hash digest
SHA256	`ad281ce2fdd2e7aad7f103de591b5ded5baae89f57e2b77a829eeb434ae53685`
MD5	`f9a60e6d7bbe48e3caa8e7ea00673aca`
BLAKE2b-256	`cbbf9cb544dc21ed006229bbade9bfa7780b598ed390d72c566a601fc83f71d8`

Algorithm	Hash digest
SHA256	`d306301595c3059d1518dfaa524e581851094758943c6825b5060c9d357d83e2`
MD5	`37f461f0be1702aea471f08322fdaa3f`
BLAKE2b-256	`bdb9667e0aed601d44f54ca93aec505fb6b97c47fea902301be4b58a9822a481`

Algorithm	Hash digest
SHA256	`f6cb8e9026805b00e2d2127115ad905dea2fe9b9b165726901d3ff6bfa5f9685`
MD5	`bff66300ced00e2a92e836a41ca7eebb`
BLAKE2b-256	`c47aeefb03288b1bdbea39d0e15a5443c994a0651b1cb867186c3a96c5e6fb61`

Algorithm	Hash digest
SHA256	`f63b0eaf0d6f78961ebef08f6d0db8c9a3fedc2033a79766407088dcb7450ce3`
MD5	`cb56db5bae5e4f84b294d1b9bc1ee220`
BLAKE2b-256	`02812ef6ffc8c6f0f5f35e5181ed90acb2f19e5d603e71dea5174fab288b4943`

Algorithm	Hash digest
SHA256	`178e0ba48bfbdb71af6a03899581d05be8c47b630e3ee5facd8ce5969c07792c`
MD5	`cd28cc4b640f7fe771f73a6256536d7a`
BLAKE2b-256	`3cac311feb68ca3dc27a3a00ba25a68b98d3b3e9cc19e85dfceb655b6f751a01`

Algorithm	Hash digest
SHA256	`eced3e2491faf96c34d71b8cfc83f975c74f2d197c989e836c7a3823bee69617`
MD5	`0b469f0ab5e26c0a8ff18751937bc33c`
BLAKE2b-256	`04bac1598fe136cf02bddd131b7496f41c932b1f23e8d79bca748b859d0a87f5`

Algorithm	Hash digest
SHA256	`a7e16d34cdb30818e9d7d0f37ff8294c422ef2e64b101c1bf444ed52db88a4b1`
MD5	`ce8a3c1d82975f37d1842fce3f7f62cc`
BLAKE2b-256	`9171799377de7af0cc52407a8bb025d310717532a8e30239913441abbb61141c`

Algorithm	Hash digest
SHA256	`b55b461e3888fd9724ac875e6d722e47e4f2b2439792ee807fccc26cbe9e30af`
MD5	`44986b03287723595a329b03de84cae0`
BLAKE2b-256	`05fe171232dae3969af10f78730bbba3cae9f51db17682f9d4343e31103c544e`

Algorithm	Hash digest
SHA256	`68bd54c9fd2986ab66d725a9c23e6b78db1a7e2cc82c89814b2017d0b75ccad4`
MD5	`f52b7aa65020ea50f83ddf67f09d988b`
BLAKE2b-256	`fb9a4282899213c9351dc398ce7d68efcba9b692d26b57d3511d950bef3f53e0`

Algorithm	Hash digest
SHA256	`b6b508cf4b9a5150aeb59cc9eb768defd73b5fd6e2481e4e8516ba18557a544e`
MD5	`9af297ca1b08b1ada1b735cf96da36ca`
BLAKE2b-256	`f0c27471d232713ac5938c644d214ae5806f0301c1e6e96b43fc68bb876042da`

Algorithm	Hash digest
SHA256	`57970e633980183076dad4b1eb01f69694485311ce74dfab0fb6c62318208343`
MD5	`3fd5693341c074ae514eaa4883dd19a0`
BLAKE2b-256	`2985bd72cc2aaab5ff26ab391f16394ab3d885a34df14b4deb8c573d23bbf5a1`

Algorithm	Hash digest
SHA256	`7fbbc25ba53f8b48a75e0def43ed8a1d1ea7662e32a02c1a6075045f5dfd2713`
MD5	`5b54dd1c852586b6c0adc9beb0d17799`
BLAKE2b-256	`31fd60b45d7cc5343d4f1a85f7b2a7ffd5d0d2844d7c3c4aad7a32728699d307`

Algorithm	Hash digest
SHA256	`378224b9ad9625bdff3fed52ab40089e17eca3ca31e81b0ba4b0d78b20e10bd0`
MD5	`2ff80177fe1a579c0c1c307e0cb72696`
BLAKE2b-256	`758089cd268e07f12781194143ffe192a9573ae9dc393bbbe27a50e83b7e6f36`

Algorithm	Hash digest
SHA256	`3f0d1342a00174860c6fbe1ce2108028220062fb06422f2e511c2a952f8018a5`
MD5	`23216eecadc063658a0fb6bb0044305b`
BLAKE2b-256	`8a1fd035a1912cfe00ef1754b9fc587e45f18ec2d1d170fe43435a57a12cc4e3`

Algorithm	Hash digest
SHA256	`e101f0af780e9183fd56c801ddb68b52141d9d04c96b4d60996271b4b2f4324c`
MD5	`36da2cba43886c22edb70ee1dd5c3418`
BLAKE2b-256	`b743756940a72ed6cf39f84e62631a85fd723f8103e67e883ef0af85436b6a2c`

Algorithm	Hash digest
SHA256	`35abcad88ea7487100d7d0e9e3e937b96e3bb2aff4ec02d2793b554c5056c3aa`
MD5	`2313b9739e57269453c0909c23729c51`
BLAKE2b-256	`7dd6ab6a65e06da9d2239a09da7eb960d08cd9e0892a919466ae91bb0f4fab32`

Algorithm	Hash digest
SHA256	`013e13021e20a75c2ddd267e6057d9e21eed13339ce99fa63d0ed9c81795a864`
MD5	`991aa798de903fe41e1e5183f68e2d4a`
BLAKE2b-256	`544c7128501540042c24c2933478ffe73988a2e771e4e021a00de584dbadad92`

Algorithm	Hash digest
SHA256	`5b1ce50df88a723c16d5d84a61acf230f0cafdfbefd87f2fd9ab7f75da0cfd39`
MD5	`b800354416e52c5e59bb265a37c73d8a`
BLAKE2b-256	`46a23735f5fc7b4b7cc61d5bb3f5d1df2df362f3760bb1d8bb3c8e03a5151183`

Algorithm	Hash digest
SHA256	`fe7ec41666a823f8061216be4460cb091ef5670d6b6e950314958270d394586b`
MD5	`d550bf340d84ab672ab10aaf46ca7de6`
BLAKE2b-256	`ee1abbe3a22a706bdd3bec6c8b66abdf156d6fccdcc9c514c4cc515c344fd610`

Algorithm	Hash digest
SHA256	`05161d02b922a553340b1d9f4b93a856c57308d509eb64fe9e1dc0f271d26020`
MD5	`2273a4adb9fada4e550db44bb4df0e5b`
BLAKE2b-256	`497da720037bbf63e844f42b4998505ff4d213bd32ee813a8f2baade13de80c4`

passagemath-categories 10.8.7

About this pip-installable distribution package

What is included

Available in other distribution packages

Dependencies

Project links

Key dates

Owner

Credits

License expression

Requires

Provides Extra

Classifiers

Download files

Source Distribution

Built Distributions

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

Algorithm	Hash digest
SHA256	`2500a1a1b755d791b42caee350402367735ce31cf7baafc688d1f2334729e817`
MD5	`cf21ae0a498e4bcd000d9f16e6f833cc`
BLAKE2b-256	`70537d84fc268a7cf7e913f78358205f352943daea8daa210969e70f470ac0ce`

Algorithm	Hash digest
SHA256	`411387bbd966f79098c1ebc5e140d67bcdf1b454a7fcbdec3efcde5b649b9dc4`
MD5	`09a513e4c6cf5f9b8f272530147d1ef3`
BLAKE2b-256	`b055222e589c7b7f76130bac4f8f6112d3faa6f35942438e169ccf47c7dc38e2`

Algorithm	Hash digest
SHA256	`7cf376ba72944295493a863904c7071ae49339ee6320e21a78260f0b5cc9ad76`
MD5	`0b5e624dd1825f63798d6371407db542`
BLAKE2b-256	`21953565ca7ee2b1d0f18fee813df493066bd10deec076047862f4a2c9cc1ee8`

Algorithm	Hash digest
SHA256	`e7ab3466776f8ef785c0889a3d0ae205b8e2f7aa76f6b59aae2ea2512177e15d`
MD5	`d2e9103726d51159b9f03401411f245f`
BLAKE2b-256	`f9874669938827cb3d529a4d92ffb45a1c792e8880a3f98edb08e2c5c004f87f`

Algorithm	Hash digest
SHA256	`289c31892210c9f9a8d8080c99fe29604ddb2f08addcac743a90e8d984889c0e`
MD5	`3ec8ae91929f62fe04efc501eac43e43`
BLAKE2b-256	`257752b58e1366f49951a911174a11be8acc3c92abb034b9f3f35d311ff1f2bf`

Algorithm	Hash digest
SHA256	`56dcd4e21f379f60ff4bef0147d0d19aab613145195e5cb39de5e5a5fc1a4e4e`
MD5	`5103a82aafe64fcf699fa6befec4bcca`
BLAKE2b-256	`eebd17a39f25432189e1f12a364ab83da50f02e273c8df4c9276c202abcbd482`

Algorithm	Hash digest
SHA256	`009464bece7a1b92fdfe64e6c278afe1d8f9b12147bb9098a58eda694556a74b`
MD5	`2a00fcaade7ce55e6c706397cc0eb2e2`
BLAKE2b-256	`14fea6a714778dde56a192ed423de7eebf36a921529bbfd6c867502116479eec`

Algorithm	Hash digest
SHA256	`49de5144978a97ba50831b23d543ca246c80396b693e2d1de58903b222db3e1c`
MD5	`08043083c2a71f14d097dc2d36774db0`
BLAKE2b-256	`9839e2b31cd23e77aa7a0cca22717defd6c924f2d75e17ac8a3fb0094c773132`

Algorithm	Hash digest
SHA256	`6e47bcc0da6890dc929f81dd1ea72eac9c9ad4fd7d6b87842385d4e1ba284723`
MD5	`df8cfea75b33382dca784b40f7692b80`
BLAKE2b-256	`5ffb2825caecffa324c0c2977b47c60d02f0081884714dafccd503139320e1a2`

Algorithm	Hash digest
SHA256	`ff895cb83cdf6ceb13761071af8b99092d82e91e5a23a8d605dcabdf45f77a85`
MD5	`bc13f36ce1d6348452e0662e5524136e`
BLAKE2b-256	`be87e037d0de7bd54c1f4cabe18296e72b1526c4ddb2773883fe73d29bb78105`