tibs · PyPI

Pre-release

This release is a pre-release and may not be stable for production use.

Tibs cat
A sleek Python library for binary data

PyPI - License

tibs is a Python library for binary data. It's 100% written in Rust and has excellent performance.

Use it for packets, registers, instruction formats, bitsets, compressed data and streams where fields can have many different interpretations and be any number of bits long.

It is used to power the popular bitstring library, which is by the same author. The full documentation is available on Read the Docs.

Install

pip install tibs

Tibs works with Python 3.11 and later. There are pre-built wheels for most common platforms; if there are issues then please let me know.

Overview

The tibs library provides two main classes: Tibs, which is an immutable sequence of bits (similar to how bytes works in Python as a sequence of bytes) and Mutibs, which is a mutable version (similar to bytearray in Python).

1. A container of bits

Tibs provides an interface very similar to bytes and other Python containers - you can slice it, concatenate, search it etc. in a familiar way, with Mutibs adding on mutating methods.

find · rfind · find_all · replace · count · starts_with · split_at · chunks · + · in

This 'container of bits' mental model might be all that you need, but the library also gives you two broad views of the binary data.

2. As Typed fields

Pull integers, floats, strings, hex or binary of any bit length straight out of the bits, without hand-rolling shifts and masks. Little-endian ordering and LSB0 field labels are handled elegantly so you don't reshuffle data yourself, and extracted / deposit reach fields that are scattered across a word.

from_u · to_f · bin / hex · Dtype · pack / unpack · .le · .lsb0 · field() · extracted / deposit · f-string formatting

3. As a set of bits

Bitwise algebra, cardinalities and set predicates, with no intermediate object built along the way. Mutibs can be used as a large mutable bitset.

& | ^ ~ · count_and · count_xor · intersects · is_subset_of · set / unset · all / any

These aren't separate modes or types — it's one object, with a rich interface to ask different questions of the same bits.

And it's fast — usually significantly faster than similar libraries, 100% written in Rust and with a large emphasis on performance.

A Taster

Some real code to illustrate.

As a container of bits. Tibs works like bytes, except that the unit is the bit instead of the byte. Mutibs is its mutable counterpart, for patching in place.

>>> from tibs import Tibs
>>> # A 5-bit header, a message, then 3 bits of padding: nothing is byte aligned.
>>> frame = Tibs('0b10110') + b'the cat rarely blinked' + [0, 0, 0]
>>> bytes(frame).find(b'cat')      # as bytes, the message has been scrambled
-1
>>> pos = frame.find(b'cat')       # but the tibs still knows where it is
>>> pos, frame[pos:pos + 24].bytes
(37, b'cat')

>>> patched = frame.to_mutibs()
>>> patched[pos:pos + 24] = b'squirrel'
>>> patched[5:-3].bytes
b'the squirrel rarely blinked'
>>> len(frame), len(patched)       # 40 bits longer, spliced in at bit 37
(184, 224)

As typed fields. Read and write integers, floats and strings of any bit length, with a view taking care of byte order and bit numbering — the sort of job that gets awkward quickly with plain bytes and masks.

>>> # What's inside a float? A sign bit, an 8-bit exponent and a 23-bit fraction.
>>> x = Tibs.from_f(-118.625, 32)
>>> f"{x:_.8b}"                    # grouped into bytes to make it readable
'11000010_11101101_01000000_00000000'
>>> sign, exponent, fraction = x.split_at([1, 9])
>>> (-1) ** sign.u * 2 ** (exponent.u - 127) * (1 + fraction.u / 2 ** 23)
-118.625

>>> Tibs(b'\x00\x40\xed\xc2').le.f     # the same value, from a little-endian file
-118.625
>>> Tibs.from_u(x.u + 1, 32).f         # the adjacent float32, one bit away
-118.62500762939453

As a set of bits. Bitwise algebra and cardinalities over millions of bits, without building an intermediate object just to count it.

>>> from math import isqrt
>>> from tibs import Mutibs
>>> # A sieve of Eratosthenes over ten million numbers, one bit each.
>>> limit = 10_000_000
>>> sieve = Mutibs.from_ones(limit)
>>> sieve.unset([0, 1])
>>> for p in range(2, isqrt(limit) + 1):
...     if sieve[p]:
...         sieve.unset(range(p * p, limit, p))
...
>>> sieve.count(1)                     # primes below ten million
664579

>>> # Counting twin, cousin and sexy primes: pairs 2, 4 and 6 apart:
>>> [sieve.count_and(sieve >> d) for d in (2, 4, 6)]
[58980, 58622, 117207]

The full documentation covers construction from ints, floats, bytes and strings; endianness; searching and replacing; rotations; bit indexing; serialization; views; dtypes and much more.

Performance

Tibs is written in Rust with PyO3. The repository contains a dedicated performance regression suite and CI workflow that compare benchmark medians against the base commit.

For local comparisons, tests/performance_comparison.py checks common operations against the bitarray library and the standard Python library. With bitarray installed, run:

python tests/performance_comparison.py

Benchmarks are machine-dependent, but tibs is often almost unreasonably fast.

Examples

The runnable examples in examples/ are small, but they are meant to look like real binary-data tasks. They're grouped by the view each one leans on most, though several use more than one.

The bits as a sequence — searching a stream and slicing fields out of it.

Example	Shows
`log_scan.py`	Find byte-aligned sync markers and pull records from a stream.
`instruction_scan.py`	Search for an opcode with `mask`, ignoring the register fields.
`patch_config.py`	Patch compact config fields in place with `Mutibs`.

Typed fields and views — numeric fields, with byte order and bit labels handled by a view.

Example	Shows
`construct.py`	Build and unpack a structured MPEG-style header.
`sensor_samples.py`	Pack and unpack 12-bit ADC samples.
`little_endian_registers.py`	Decode and rebuild little-endian register dumps with `u16_le`.
`ebpf_instruction.py`	Decode LSB0, little-endian instruction fields.
`scattered_field.py`	Read and write a register field split around status bits with `extracted`/`deposit`.

Sets of bits — bitwise algebra and comparison.

Example	Shows
`sieve.py`	Use a large mutable bitset for a prime sieve.
`fingerprints.py`	Compare items as sets of bits with `count_and`, `count_xor` and `is_subset_of`.

Project status

Tibs is considered 'stable' and has reached version 2. Documented public behavior will remain compatible across future 2.x releases. It is already used to power the bitstring library and gets several million downloads per month.

There are thousands of unit tests, including Hypothesis tests and performance benchmarks.

For the full API reference, see the documentation.

Credits

The tibs library was created by Scott Griffiths and is released under the MIT License.

Tibs cat

Download files

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

Source Distribution

tibs-2.0.0rc1.tar.gz (2.3 MB view details)

Uploaded Aug 1, 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.

tibs-2.0.0rc1-cp314-cp314t-win_arm64.whl (747.1 kB view details)

Uploaded Aug 1, 2026 CPython 3.14tWindows ARM64

tibs-2.0.0rc1-cp314-cp314t-win_amd64.whl (796.5 kB view details)

Uploaded Aug 1, 2026 CPython 3.14tWindows x86-64

tibs-2.0.0rc1-cp314-cp314t-win32.whl (737.3 kB view details)

Uploaded Aug 1, 2026 CPython 3.14tWindows x86

tibs-2.0.0rc1-cp314-cp314t-musllinux_1_2_x86_64.whl (1.3 MB view details)

Uploaded Aug 1, 2026 CPython 3.14tmusllinux: musl 1.2+ x86-64

tibs-2.0.0rc1-cp314-cp314t-musllinux_1_2_i686.whl (1.3 MB view details)

Uploaded Aug 1, 2026 CPython 3.14tmusllinux: musl 1.2+ i686

tibs-2.0.0rc1-cp314-cp314t-musllinux_1_2_armv7l.whl (1.3 MB view details)

Uploaded Aug 1, 2026 CPython 3.14tmusllinux: musl 1.2+ ARMv7l

tibs-2.0.0rc1-cp314-cp314t-musllinux_1_2_aarch64.whl (1.2 MB view details)

Uploaded Aug 1, 2026 CPython 3.14tmusllinux: musl 1.2+ ARM64

tibs-2.0.0rc1-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

Uploaded Aug 1, 2026 CPython 3.14tmanylinux: glibc 2.17+ x86-64

tibs-2.0.0rc1-cp314-cp314t-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.1 MB view details)

Uploaded Aug 1, 2026 CPython 3.14tmanylinux: glibc 2.17+ s390x

tibs-2.0.0rc1-cp314-cp314t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.1 MB view details)

Uploaded Aug 1, 2026 CPython 3.14tmanylinux: glibc 2.17+ ppc64le

tibs-2.0.0rc1-cp314-cp314t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.0 MB view details)

Uploaded Aug 1, 2026 CPython 3.14tmanylinux: glibc 2.17+ ARMv7l

tibs-2.0.0rc1-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.0 MB view details)

Uploaded Aug 1, 2026 CPython 3.14tmanylinux: glibc 2.17+ ARM64

tibs-2.0.0rc1-cp314-cp314t-manylinux_2_5_i686.manylinux1_i686.whl (1.1 MB view details)

Uploaded Aug 1, 2026 CPython 3.14tmanylinux: glibc 2.5+ i686

tibs-2.0.0rc1-cp314-cp314t-macosx_11_0_arm64.whl (905.5 kB view details)

Uploaded Aug 1, 2026 CPython 3.14tmacOS 11.0+ ARM64

tibs-2.0.0rc1-cp314-cp314t-macosx_10_12_x86_64.whl (1.0 MB view details)

Uploaded Aug 1, 2026 CPython 3.14tmacOS 10.12+ x86-64

tibs-2.0.0rc1-cp311-abi3-win_arm64.whl (759.9 kB view details)

Uploaded Aug 1, 2026 CPython 3.11+Windows ARM64

tibs-2.0.0rc1-cp311-abi3-win_amd64.whl (810.5 kB view details)

Uploaded Aug 1, 2026 CPython 3.11+Windows x86-64

tibs-2.0.0rc1-cp311-abi3-win32.whl (748.1 kB view details)

Uploaded Aug 1, 2026 CPython 3.11+Windows x86

tibs-2.0.0rc1-cp311-abi3-musllinux_1_2_x86_64.whl (1.3 MB view details)

Uploaded Aug 1, 2026 CPython 3.11+musllinux: musl 1.2+ x86-64

tibs-2.0.0rc1-cp311-abi3-musllinux_1_2_i686.whl (1.3 MB view details)

Uploaded Aug 1, 2026 CPython 3.11+musllinux: musl 1.2+ i686

tibs-2.0.0rc1-cp311-abi3-musllinux_1_2_armv7l.whl (1.3 MB view details)

Uploaded Aug 1, 2026 CPython 3.11+musllinux: musl 1.2+ ARMv7l

tibs-2.0.0rc1-cp311-abi3-musllinux_1_2_aarch64.whl (1.2 MB view details)

Uploaded Aug 1, 2026 CPython 3.11+musllinux: musl 1.2+ ARM64

tibs-2.0.0rc1-cp311-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

Uploaded Aug 1, 2026 CPython 3.11+manylinux: glibc 2.17+ x86-64

tibs-2.0.0rc1-cp311-abi3-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.1 MB view details)

Uploaded Aug 1, 2026 CPython 3.11+manylinux: glibc 2.17+ s390x

tibs-2.0.0rc1-cp311-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.2 MB view details)

Uploaded Aug 1, 2026 CPython 3.11+manylinux: glibc 2.17+ ppc64le

tibs-2.0.0rc1-cp311-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.0 MB view details)

Uploaded Aug 1, 2026 CPython 3.11+manylinux: glibc 2.17+ ARMv7l

tibs-2.0.0rc1-cp311-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.0 MB view details)

Uploaded Aug 1, 2026 CPython 3.11+manylinux: glibc 2.17+ ARM64

tibs-2.0.0rc1-cp311-abi3-manylinux_2_5_i686.manylinux1_i686.whl (1.1 MB view details)

Uploaded Aug 1, 2026 CPython 3.11+manylinux: glibc 2.5+ i686

tibs-2.0.0rc1-cp311-abi3-macosx_11_0_arm64.whl (919.6 kB view details)

Uploaded Aug 1, 2026 CPython 3.11+macOS 11.0+ ARM64

tibs-2.0.0rc1-cp311-abi3-macosx_10_12_x86_64.whl (995.4 kB view details)

Uploaded Aug 1, 2026 CPython 3.11+macOS 10.12+ x86-64

File details

Details for the file tibs-2.0.0rc1.tar.gz.

File metadata

Download URL: tibs-2.0.0rc1.tar.gz
Upload date: Aug 1, 2026
Size: 2.3 MB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: uv/0.12.1 {"installer":{"name":"uv","version":"0.12.1","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for tibs-2.0.0rc1.tar.gz
Algorithm	Hash digest
SHA256	`379e29f8fc19c6cef54785a6d79aef25b19a5523f6b160ffd372ac3b7d83d65e`
MD5	`8a8a7e57ca463874b12c1d9c2dd15bae`
BLAKE2b-256	`99ac82a34d912b28ca6337970d344c1c25b1622882e711ed7653da47c3885508`

Algorithm	Hash digest
SHA256	`dd316ca18e5874e3b1a0bdd0a123cb6593d65c83cb158729da4b4a0685d5a272`
MD5	`847e58e362454f676e4a174eaa577cd3`
BLAKE2b-256	`25878d143bcffb2004f04f8b5e584a9d7bd6401bde5692f9dc5cfc763b4ffa2e`

Algorithm	Hash digest
SHA256	`e54870a4728e16d87da45cc4d1c2112d892ab5d4c0203ae6fbf38246928ffc01`
MD5	`2096dc1531b5523b4393a0ec683a24a2`
BLAKE2b-256	`8ecee9ea16e7be6f0df2024582c932b342eb50509db3dd251cca7327b51b34fa`

Algorithm	Hash digest
SHA256	`900a4c739864816dd79fc85bd2d461a124ecd2fb123a8df573e189a4efcb0790`
MD5	`768147f55ef257adbbb0e87e9f0edffa`
BLAKE2b-256	`e4a9aeab77cea74c29ce6a62a5f8cb68477d0017f48b6aa889bcd7db76a09594`

Algorithm	Hash digest
SHA256	`d5b1a253dccf26cba8cfcbd1d205d6cacdd17868255d98b3e83a0b3dc6b8b5e9`
MD5	`3a54eb6b71ca09922398723f6b158068`
BLAKE2b-256	`ded2e3ccfb64e667b9863e0e96728ff4b789858dd20db7c6b74225ebcc1fde35`

Algorithm	Hash digest
SHA256	`63f58ec624f5df3f0621e9b48241b845fddb183446d219fb902fe33e5d5c20c3`
MD5	`7c6aab4a3ecde887acaa6dced54e8856`
BLAKE2b-256	`b862f0f0b0752f985d8d8e65930f4aaeb821acacf8512107400d1041613752da`

Algorithm	Hash digest
SHA256	`9359491d5de2241607b91e995b3a06ea2ea587c57ebf6d8e36b2c93a6437a6bf`
MD5	`60a0c7e20bfb59ec109c5aae35090387`
BLAKE2b-256	`5161b10e0210d9ef3d76fd82d5bac0352507d50bda3f7298c211b5e954dd6bb8`

Algorithm	Hash digest
SHA256	`79542ba514ddb483e31466445a2581de923478c0cf44d4448397a487c4535d89`
MD5	`76d823e43454a1ff993d4bfd0fbaefee`
BLAKE2b-256	`f77cabfd490fdbd992f68b715c1436336b1c1ece884cc7adbb366812ced884e0`

Algorithm	Hash digest
SHA256	`0924b7c85fa9336b048a47e6cc650c527a12408a61e2533e63c060aefaaac435`
MD5	`f52038b5c3270fe6cb7fbf1678236a3a`
BLAKE2b-256	`b912ed671b7442fd40188ebca6362e2ecd992cb4158537471cc5dcbbbbb3c64c`

Algorithm	Hash digest
SHA256	`ed985b30b8c24eaaf0824c59200ce79f7815174cbd073aed58ea3b556ef3e1a7`
MD5	`3c9e03814e4f01ab35f9558088c54f4b`
BLAKE2b-256	`bc8b303f9b52cfa4bfc3e1216f39cde33ba00f7c9c84d6b1811e09b104e31eae`

Algorithm	Hash digest
SHA256	`65dd9800eeb2ca9367b7fb7df6fdbfa6483e7e49c19fc52e4620b05119a62202`
MD5	`2b17fb695038ebf09eb710608d148f57`
BLAKE2b-256	`b0a623ddfc045761e79ec390aa16064acde8f7c66d3396170beaf0eef5b23394`

Algorithm	Hash digest
SHA256	`bc696bd44ba6d3c0ab9b7b8b7e53f449e10e468669a58ec64089c300c1844f70`
MD5	`7da5a957d18d5d60b2003a955aed5588`
BLAKE2b-256	`64fc5ae253080335f166326d23ce3d1c205b1e75cbc4a2682f74c9f1cc19e339`

Algorithm	Hash digest
SHA256	`02218530d94f7baceed1c830a640c4df69b0f11fb8c2916b5b4ccb430d4e222c`
MD5	`54b8e609d7fa1705fa1326f17ff7deaf`
BLAKE2b-256	`65f27fc44f498d27999936f909958c734467c4637874fa70fef22bcc7e8eaf0c`

Algorithm	Hash digest
SHA256	`f00605029c4f83135691fbfe8d4660236ed9e63cf13e43af172ef623cddb94eb`
MD5	`bf5cc4c34f7a914f5b4866c71b8e2992`
BLAKE2b-256	`4221281227d23362fc6efb62007086d5ed64b49526bdc62982eb20a22db28ad7`

Algorithm	Hash digest
SHA256	`4ac54141d7d106be78275ad90d868b95b145254f543c351b7234a759d51eedd2`
MD5	`4ba8d26e33c045fc921f402fe1f984c7`
BLAKE2b-256	`6482b4419c4524fc19626b1e6c5ebef298e3bd8125aed576fc9b744c117441d2`

Algorithm	Hash digest
SHA256	`91b19d4a5b8dff2ef5ded1708a23eeac2147a55717cbede8e3b55fcaaecc7471`
MD5	`6b7d421d398aa5e486f5b6129652cd1f`
BLAKE2b-256	`e4706d10b1d397d27721cbd27278bbfe0b01acd5a4c221caedeb3ee2e558c963`

Algorithm	Hash digest
SHA256	`34d2f3040cdd68304b59c51603a8f6ee09f8bde56d5f0e3948419f01c7af6427`
MD5	`d09d9f240dc0621861409bf6d339391d`
BLAKE2b-256	`abbe09be2b58877d94a7112fd47505221ab8d4275b042b313d05df3a6a118303`

Algorithm	Hash digest
SHA256	`ed9470ccdc2c5b4863f096295a12db97c08a885136f9421862a7a4dc7f66f3c8`
MD5	`f4f72006c13a38571d066cf86eca7a20`
BLAKE2b-256	`55d50b6aacae453d9f79bedb6cd329002e981c9f554230d9fd0c2e12f91b2101`

Algorithm	Hash digest
SHA256	`c7eb914977d74815c283a98275f0d6200b9d8992721e705fbf1c3accfb312f55`
MD5	`0e448507e3c4d1959d3feed5e9bf1e06`
BLAKE2b-256	`c3e6475f15cf06cd954cb6767ea32a73f3f9e200c2ed3d10c0efde5a899ba22b`

Algorithm	Hash digest
SHA256	`496f47a84e2947cf3e76dfef5a211188eda9522543d77adc9b25bcdc5a7a5b58`
MD5	`1a3d5348970c398174d175153651da01`
BLAKE2b-256	`8a42759e2b08aa540a843ef04070e6f0da9f1eebc1cc0704c361346f2736621c`

Algorithm	Hash digest
SHA256	`00770cbb516d9a2e3462ee8aaf9481efcf24874f11622314726619c4c5c4c618`
MD5	`d938e250dd45967eab6bd810bc44c571`
BLAKE2b-256	`d9459b4fece269c9de7aa2c305d51f5c892f8378bff098981937b527658d1fd6`

tibs 2.0.0rc1

Install

Overview

1. A container of bits

2. As Typed fields

3. As a set of bits

A Taster

Performance

Examples

Project status

Credits

Project links

Key dates

1 maintainer

Credits

License

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

Algorithm	Hash digest
SHA256	`15afcf4c2c416fc401e331a6df0a7786fc30c618b18ee5be9ddbec22fbf4b779`
MD5	`7cf8046d9f7c77e11c67e2869bac7682`
BLAKE2b-256	`5bdb9f3215f16b66d5953f18d8d449f6744be548a84092b908bab4c8968c6120`

Algorithm	Hash digest
SHA256	`8026790dde3c7080b5e12065fe68bf72bfdb4fb20779de967d25124faeaf956c`
MD5	`0371454672cb90e14aff019487d8cc1d`
BLAKE2b-256	`6fb7e6969c20f1f583985b60e9ef8219b3587f9a7e20847fb2121fb25bb9fa2d`

Algorithm	Hash digest
SHA256	`ac04cbcb45f1fea38b06fbbeca4463cd250c22237f4e175f5459cb06d2482a80`
MD5	`d1179a84e7ee8805944bf78027ed803a`
BLAKE2b-256	`22367eae4db234aa81e5e537bf8622a61a976bfb63d2dbe76343373e200d158a`

Algorithm	Hash digest
SHA256	`62d2420bb6ce6dd0ca172341f59d3202a34cd6043fbdec4bdccd3d8d059b53e3`
MD5	`a1e4daa1c27e0b37b5556016d5760046`
BLAKE2b-256	`d26b55edba98ab341c5e520b78714f36d723f20fb0bf3349570ed05999fd24b4`

Algorithm	Hash digest
SHA256	`19167421e6292d05d373614ea1496910e3dec749c69e8f849ea8dcbe5d7ce959`
MD5	`53434b645d5f15ea4050743b77c85c62`
BLAKE2b-256	`1bd02f57516480e080b396b4412e199efa9121b5f111a63b72d6f03400f52227`

Algorithm	Hash digest
SHA256	`89964088f2a110370e82fca5cb3b75b7368a43395a1ac2da1a7d3280e2b1541e`
MD5	`e4105fa9b49f89e2d8f938c87ad1b7e3`
BLAKE2b-256	`992ea8677723a09792213f6a5f8b2908633d28e7aa5e2fb089a998355c96a44f`

Algorithm	Hash digest
SHA256	`dbd1ced711d936907f671fa6c3a6ccae03cde2debb04ca0533cf39a54ad8a129`
MD5	`48ca681c245da22ded5ca42a2226ab46`
BLAKE2b-256	`c9fb348e0eea4a034cf59696a49e10e7e08f47404398e472187107c0357200b4`

Algorithm	Hash digest
SHA256	`b93bd23f41d8ba56df328dbf71ca1f80a30fd5358d47c519fe204f6093236da4`
MD5	`b946f5fce79b11047a003446aaaa4f9c`
BLAKE2b-256	`5a53e97d640823458f8f5061c23c843a4d27abafdd6366e1e123c7785f2dca23`

Algorithm	Hash digest
SHA256	`708e5acab42fd3f4e5433732e09a7c6a65ca74f7651f28930d5521e8ab1fd6ef`
MD5	`ada50454223ef4fb70c700509d224d35`
BLAKE2b-256	`522eb82b72a790e2e15410d7df0a2fb3d188310b0ace7d407952f7e0fb775c9c`

Algorithm	Hash digest
SHA256	`ffca486fcbf3d19806cc691592e3ffad057c8421f7622918361732d60556ed65`
MD5	`30dc64704f62ab9c99a192a1c2635cbb`
BLAKE2b-256	`084e87003687c2a84628a3676a45f7b9aad0f819f3c549a573615a936c739ebe`