A Python Toolkit for the analysis of photoacoustic tomography data.

These details have not been verified by PyPI

Project links

Project description

Logo

PATATO: PhotoAcoustic Tomography Analysis TOolkit

PATATO is an Open-Source project to enable the analysis of photoacoustic (PA) imaging data in a transparent, reproducible and extendable way. We provide efficient, GPU-optimised implementations of common PA algorithms written around standard Python libraries, including filtered backprojection, model-based reconstruction and spectral unmixing.

The tool supports many file formats, such as the International Photoacoustic Standardisation Consortium (IPASC) data format, and it can be extended to support custom data formats. We hope that this toolkit can enable faster and wider dissemination of analysis techniques for PA imaging and provide a useful tool to the community.

Please report any bugs or issues you find to our GitHub repository
Please do get involved! Contact Thomas Else (thomas.else@cruk.cam.ac.uk).

Getting Started

In order to use PATATO, you must have a Python environment set up on your computer. We recommend using Anaconda (http://anaconda.com) to run Python, particularly if you are using Windows. You may wish to setup a separate Anaconda environment to install PATATO to minimise conflicts between dependency versions.

pip install --upgrade pip setuptools
pip install patato

To setup support for image reconstruction on Windows, or for GPU support, please follow the installation guide in the documentation.

Citing PATATO

To cite PATATO, please reference our article in the Journal of Open Source software, here.

Documentation, examples and contributing

Documentation for PATATO can be found at https://patato.readthedocs.io/en/latest/?badge=latest.

Project details

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

0.6.0

Sep 11, 2024

0.5.17

Sep 11, 2024

This version

0.5.16

Jul 16, 2024

0.5.15

Jul 2, 2024

0.5.14

Dec 4, 2023

0.5.13

Dec 4, 2023

0.5.12

Sep 27, 2023

0.5.11

Sep 26, 2023

0.5.10

Sep 18, 2023

0.5.8

Aug 16, 2023

0.5.7

Aug 2, 2023

0.5.5

Jul 21, 2023

0.5.2

Jun 28, 2023

0.5.1 yanked

Jun 24, 2023

Reason this release was yanked:

Doesn't correctly load the spectra/presets etc.

0.5.0

Jun 14, 2023

0.4.0

May 12, 2023

0.2.4

Apr 4, 2023

0.2.3

Feb 28, 2023

0.2.2

Feb 27, 2023

0.2.1

Jan 30, 2023

0.2.0

Jan 23, 2023

0.1.4

Jan 20, 2023

0.1.3

Jan 19, 2023

0.1.2

Jan 19, 2023

0.1.1

Jan 17, 2023

0.1.0

Jan 12, 2023

0.0.2

Jan 12, 2023

0.0.1

Jan 11, 2023

Download files

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

Source Distribution

patato-0.5.16.tar.gz (25.5 MB view details)

Uploaded Jul 16, 2024 Source

Built Distributions

patato-0.5.16-pp310-pypy310_pp73-win_amd64.whl (485.8 kB view details)

Uploaded Jul 16, 2024 PyPy Windows x86-64

patato-0.5.16-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (554.2 kB view details)

Uploaded Jul 16, 2024 PyPy manylinux: glibc 2.17+ x86-64

patato-0.5.16-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (564.2 kB view details)

Uploaded Jul 16, 2024 PyPy manylinux: glibc 2.17+ i686

patato-0.5.16-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (548.6 kB view details)

Uploaded Jul 16, 2024 PyPy manylinux: glibc 2.17+ ARM64

patato-0.5.16-pp310-pypy310_pp73-macosx_11_0_arm64.whl (486.3 kB view details)

Uploaded Jul 16, 2024 PyPy macOS 11.0+ ARM64

patato-0.5.16-pp310-pypy310_pp73-macosx_10_9_x86_64.whl (493.9 kB view details)

Uploaded Jul 16, 2024 PyPy macOS 10.9+ x86-64

patato-0.5.16-pp39-pypy39_pp73-win_amd64.whl (486.2 kB view details)

Uploaded Jul 16, 2024 PyPy Windows x86-64

patato-0.5.16-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (554.1 kB view details)

Uploaded Jul 16, 2024 PyPy manylinux: glibc 2.17+ x86-64

patato-0.5.16-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (564.2 kB view details)

Uploaded Jul 16, 2024 PyPy manylinux: glibc 2.17+ i686

patato-0.5.16-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (548.4 kB view details)

Uploaded Jul 16, 2024 PyPy manylinux: glibc 2.17+ ARM64

patato-0.5.16-pp39-pypy39_pp73-macosx_11_0_arm64.whl (486.3 kB view details)

Uploaded Jul 16, 2024 PyPy macOS 11.0+ ARM64

patato-0.5.16-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (493.8 kB view details)

Uploaded Jul 16, 2024 PyPy macOS 10.9+ x86-64

patato-0.5.16-pp38-pypy38_pp73-win_amd64.whl (486.3 kB view details)

Uploaded Jul 16, 2024 PyPy Windows x86-64

patato-0.5.16-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (555.3 kB view details)

Uploaded Jul 16, 2024 PyPy manylinux: glibc 2.17+ x86-64

patato-0.5.16-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (564.1 kB view details)

Uploaded Jul 16, 2024 PyPy manylinux: glibc 2.17+ i686

patato-0.5.16-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (548.9 kB view details)

Uploaded Jul 16, 2024 PyPy manylinux: glibc 2.17+ ARM64

patato-0.5.16-pp38-pypy38_pp73-macosx_11_0_arm64.whl (486.4 kB view details)

Uploaded Jul 16, 2024 PyPy macOS 11.0+ ARM64

patato-0.5.16-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (493.9 kB view details)

Uploaded Jul 16, 2024 PyPy macOS 10.9+ x86-64

patato-0.5.16-cp311-cp311-win_arm64.whl (478.0 kB view details)

Uploaded Jul 16, 2024 CPython 3.11 Windows ARM64

patato-0.5.16-cp311-cp311-win_amd64.whl (487.7 kB view details)

Uploaded Jul 16, 2024 CPython 3.11 Windows x86-64

patato-0.5.16-cp311-cp311-win32.whl (478.1 kB view details)

Uploaded Jul 16, 2024 CPython 3.11 Windows x86

patato-0.5.16-cp311-cp311-musllinux_1_1_x86_64.whl (2.6 MB view details)

Uploaded Jul 16, 2024 CPython 3.11 musllinux: musl 1.1+ x86-64

patato-0.5.16-cp311-cp311-musllinux_1_1_i686.whl (2.6 MB view details)

Uploaded Jul 16, 2024 CPython 3.11 musllinux: musl 1.1+ i686

patato-0.5.16-cp311-cp311-musllinux_1_1_aarch64.whl (2.6 MB view details)

Uploaded Jul 16, 2024 CPython 3.11 musllinux: musl 1.1+ ARM64

patato-0.5.16-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded Jul 16, 2024 CPython 3.11 manylinux: glibc 2.17+ x86-64

patato-0.5.16-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (2.1 MB view details)

Uploaded Jul 16, 2024 CPython 3.11 manylinux: glibc 2.17+ i686

patato-0.5.16-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.1 MB view details)

Uploaded Jul 16, 2024 CPython 3.11 manylinux: glibc 2.17+ ARM64

patato-0.5.16-cp311-cp311-macosx_11_0_arm64.whl (497.0 kB view details)

Uploaded Jul 16, 2024 CPython 3.11 macOS 11.0+ ARM64

patato-0.5.16-cp311-cp311-macosx_10_9_x86_64.whl (500.9 kB view details)

Uploaded Jul 16, 2024 CPython 3.11 macOS 10.9+ x86-64

patato-0.5.16-cp310-cp310-win_arm64.whl (475.9 kB view details)

Uploaded Jul 16, 2024 CPython 3.10 Windows ARM64

patato-0.5.16-cp310-cp310-win_amd64.whl (485.6 kB view details)

Uploaded Jul 16, 2024 CPython 3.10 Windows x86-64

patato-0.5.16-cp310-cp310-win32.whl (475.7 kB view details)

Uploaded Jul 16, 2024 CPython 3.10 Windows x86

patato-0.5.16-cp310-cp310-musllinux_1_1_x86_64.whl (2.6 MB view details)

Uploaded Jul 16, 2024 CPython 3.10 musllinux: musl 1.1+ x86-64

patato-0.5.16-cp310-cp310-musllinux_1_1_i686.whl (2.6 MB view details)

Uploaded Jul 16, 2024 CPython 3.10 musllinux: musl 1.1+ i686

patato-0.5.16-cp310-cp310-musllinux_1_1_aarch64.whl (2.5 MB view details)

Uploaded Jul 16, 2024 CPython 3.10 musllinux: musl 1.1+ ARM64

patato-0.5.16-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded Jul 16, 2024 CPython 3.10 manylinux: glibc 2.17+ x86-64

patato-0.5.16-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (2.1 MB view details)

Uploaded Jul 16, 2024 CPython 3.10 manylinux: glibc 2.17+ i686

patato-0.5.16-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.1 MB view details)

Uploaded Jul 16, 2024 CPython 3.10 manylinux: glibc 2.17+ ARM64

patato-0.5.16-cp310-cp310-macosx_11_0_arm64.whl (494.6 kB view details)

Uploaded Jul 16, 2024 CPython 3.10 macOS 11.0+ ARM64

patato-0.5.16-cp310-cp310-macosx_10_9_x86_64.whl (498.3 kB view details)

Uploaded Jul 16, 2024 CPython 3.10 macOS 10.9+ x86-64

patato-0.5.16-cp39-cp39-win_arm64.whl (475.7 kB view details)

Uploaded Jul 16, 2024 CPython 3.9 Windows ARM64

patato-0.5.16-cp39-cp39-win_amd64.whl (485.9 kB view details)

Uploaded Jul 16, 2024 CPython 3.9 Windows x86-64

patato-0.5.16-cp39-cp39-win32.whl (475.8 kB view details)

Uploaded Jul 16, 2024 CPython 3.9 Windows x86

patato-0.5.16-cp39-cp39-musllinux_1_1_x86_64.whl (2.6 MB view details)

Uploaded Jul 16, 2024 CPython 3.9 musllinux: musl 1.1+ x86-64

patato-0.5.16-cp39-cp39-musllinux_1_1_i686.whl (2.6 MB view details)

Uploaded Jul 16, 2024 CPython 3.9 musllinux: musl 1.1+ i686

patato-0.5.16-cp39-cp39-musllinux_1_1_aarch64.whl (2.5 MB view details)

Uploaded Jul 16, 2024 CPython 3.9 musllinux: musl 1.1+ ARM64

patato-0.5.16-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded Jul 16, 2024 CPython 3.9 manylinux: glibc 2.17+ x86-64

patato-0.5.16-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (2.1 MB view details)

Uploaded Jul 16, 2024 CPython 3.9 manylinux: glibc 2.17+ i686

patato-0.5.16-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.1 MB view details)

Uploaded Jul 16, 2024 CPython 3.9 manylinux: glibc 2.17+ ARM64

patato-0.5.16-cp39-cp39-macosx_11_0_arm64.whl (494.9 kB view details)

Uploaded Jul 16, 2024 CPython 3.9 macOS 11.0+ ARM64

patato-0.5.16-cp39-cp39-macosx_10_9_x86_64.whl (498.5 kB view details)

Uploaded Jul 16, 2024 CPython 3.9 macOS 10.9+ x86-64

patato-0.5.16-cp38-cp38-win_amd64.whl (485.8 kB view details)

Uploaded Jul 16, 2024 CPython 3.8 Windows x86-64

patato-0.5.16-cp38-cp38-win32.whl (475.6 kB view details)

Uploaded Jul 16, 2024 CPython 3.8 Windows x86

patato-0.5.16-cp38-cp38-musllinux_1_1_x86_64.whl (2.6 MB view details)

Uploaded Jul 16, 2024 CPython 3.8 musllinux: musl 1.1+ x86-64

patato-0.5.16-cp38-cp38-musllinux_1_1_i686.whl (2.6 MB view details)

Uploaded Jul 16, 2024 CPython 3.8 musllinux: musl 1.1+ i686

patato-0.5.16-cp38-cp38-musllinux_1_1_aarch64.whl (2.5 MB view details)

Uploaded Jul 16, 2024 CPython 3.8 musllinux: musl 1.1+ ARM64

patato-0.5.16-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded Jul 16, 2024 CPython 3.8 manylinux: glibc 2.17+ x86-64

patato-0.5.16-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (2.1 MB view details)

Uploaded Jul 16, 2024 CPython 3.8 manylinux: glibc 2.17+ i686

patato-0.5.16-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.1 MB view details)

Uploaded Jul 16, 2024 CPython 3.8 manylinux: glibc 2.17+ ARM64

patato-0.5.16-cp38-cp38-macosx_11_0_arm64.whl (494.4 kB view details)

Uploaded Jul 16, 2024 CPython 3.8 macOS 11.0+ ARM64

patato-0.5.16-cp38-cp38-macosx_10_9_x86_64.whl (498.0 kB view details)

Uploaded Jul 16, 2024 CPython 3.8 macOS 10.9+ x86-64

File details

Details for the file patato-0.5.16.tar.gz.

File metadata

Download URL: patato-0.5.16.tar.gz
Upload date: Jul 16, 2024
Size: 25.5 MB
Tags: Source
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for patato-0.5.16.tar.gz
Algorithm	Hash digest
SHA256	`c8e3d8d3c071248b727f26b56d0605ab8e8c396e5400ef3ed1902d23da3eedd2`
MD5	`db78d4756881a7537b61ca85861d541b`
BLAKE2b-256	`b882ebb2dbcfd43bdd484f588f1891c775cfa16951df80f898533a4a633698bb`

Algorithm	Hash digest
SHA256	`c8be3850f8c6b1e66941c1b7ea358cd2af1b12bedd87ff62b689ad0cde5b065c`
MD5	`b5e52bab56cdcbdc095f2ead9e39f525`
BLAKE2b-256	`3ea91a5db7fca8c603e46219ee2026bb7c3c1ef501cfc928ea6d799cebe98237`

Algorithm	Hash digest
SHA256	`eecb1e54b266bb76032b68741a76cdd5c0de9326ab7f3e972ac51e727c5a288e`
MD5	`aa8a578b6772c99147b43f013eac77ed`
BLAKE2b-256	`7c7eb65de2e707214e5a4324fef9253ed5628c72a8d6328ec173b3538097f51e`

Algorithm	Hash digest
SHA256	`807cb973f224aaebc20057521a5d477d39d7bc2ba6e5d86025db8d2960367690`
MD5	`200ad3e00904531890787c039742673d`
BLAKE2b-256	`e546b6f8cdf1be3150b5e4d47a30ffa1f5dc6387a9928618a2f742ed8d2224a8`

Algorithm	Hash digest
SHA256	`b14d3439b7325424d268e39f03104a9a6eae6817cf5bd04888d217c849567ffc`
MD5	`8b576062b6218e20b6bbeb3fd0498adc`
BLAKE2b-256	`c6868547e47b689b2ae61acfd40e49e64e7eae3b80c277f1b6185a08f31aba59`

Algorithm	Hash digest
SHA256	`a54caae1188446d6bb9e2cb81a74e9fc0274c6dd230110404659d674b285cfab`
MD5	`7c963c8c26277a2dd0c793845af0809c`
BLAKE2b-256	`8972eb1015ca368dc0a43aa76ae7a794a9f997ebb3796a1d03f774cd739d7486`

Algorithm	Hash digest
SHA256	`245d5841addc341fc51a2ef388bf402e8da3261128a88d89eb4e15a4d2b234a3`
MD5	`6283f97063272545e7de80f17eabde90`
BLAKE2b-256	`696283d46e7ffaad20fa43500f59f457b7e30f006d1dc8e89fb4fe2c3f907650`

Algorithm	Hash digest
SHA256	`d5ddb6edaca8c21f88156e9b18404becac0423b1d89c9d74a1f13b2e6037f340`
MD5	`941d748c5bec2d8fc075d3742ae857bd`
BLAKE2b-256	`cc0e0f638c7eaddfa6a58f1984d615f723196499a4363004218e7a23638f1265`

Algorithm	Hash digest
SHA256	`0d9fbcb08da7b06fe8c57f041f6d0ecd5e316e281ba9d908010101b8648720ff`
MD5	`7609a1d29eb011f1415c9b58c0133334`
BLAKE2b-256	`89d2621a67dd2f48bf5988f28dbd4ab9ab54a5afdc957d49a2a12de4fafa1808`

Algorithm	Hash digest
SHA256	`bfd575e5d6e845ec200d4093286f46209d4de1735499edec08226f9fe7da6f69`
MD5	`fc7b177c63ffa220bcff99f412fcec60`
BLAKE2b-256	`d2b87bba543b84a73341513aa89e71ef03f0c798f249fda45ee67a0396363a5a`

Algorithm	Hash digest
SHA256	`687fb3d0897e9ddf008309800d6689f1c158593401cd98f0484591550fbba5c0`
MD5	`499056081373f90be6b10562253bafdd`
BLAKE2b-256	`6b2faa8a584c00ffdafffe3a1dd1523be20f758cf8c9cff792a9398bcae4e8ff`

Algorithm	Hash digest
SHA256	`7fd6881b90a264752791c484dc583916fc7b9a94150b65ad54594a20ba6e8a16`
MD5	`200eab99f1dc9b8a26af4fdb122283b9`
BLAKE2b-256	`87835410b95590e1d2f53afd3eadb85745df542f1fca99112acd2688c9ac7723`

Algorithm	Hash digest
SHA256	`72303c7be1c2a8b2e9156836e32ab33a1efd1cf4f6bf37d658be95ae6b0463a9`
MD5	`9bd004a945434e56a1376bb761f2d29c`
BLAKE2b-256	`4aa7378e11981de186f17f57507a3e2b042442521c505d908980b5175eea8227`

Algorithm	Hash digest
SHA256	`3e6c352dfb2f0cec7cd039ea132b17006b16f0b20732777e06aaa28a87c9e1cd`
MD5	`42cebe427613e13fb8e3eefdf16a95b8`
BLAKE2b-256	`6023b3fc5fa9ad9e25ffaf9231c689ac3c4e6afb8d68a7e509154c1c9e923027`

Algorithm	Hash digest
SHA256	`6fe293d538d34d62290fae8b263ea9584baf1ca6bdb3c5694c0c474240958b8a`
MD5	`b42ab17e8abc4fa172893f874e4c6c8f`
BLAKE2b-256	`1bde65b274e7d523797faf89c7fd2e9aa84b54b780233b2aa58a845d2c5652bb`

Algorithm	Hash digest
SHA256	`19269a4d8fb6ca297fa6e31972dd8ac2577403aeff008faca6ba721a2fdef2ff`
MD5	`41b614b381aae6456e0a2d4508872894`
BLAKE2b-256	`a4c7b92ac0357a55150be2acbdc171ca4af45f3f351146cd8a3e4dc70848e81b`

Algorithm	Hash digest
SHA256	`f70e8b2d2ba300e45ba07d56707c2395b77e6f74b0f2076756a6be008cf50e0e`
MD5	`91e5b810e105b00ea25cf152ddb493d8`
BLAKE2b-256	`8417a052b772e11288145766de1e4f82f39cfff5edcfa527600584c01fabfd19`

Algorithm	Hash digest
SHA256	`b01ebf018d733fd6ec705f9a72da657a1f021d42154124541ff035d72e5da704`
MD5	`88df656630bc1c5009ca940fea9be97f`
BLAKE2b-256	`6af79741dffb580d4d95aed2ed0da51ed2a865bd2309f0321a3254c07febbed4`

Algorithm	Hash digest
SHA256	`1c054c201fe0dc3a8f17d2b7faddffdff4b2ef61f05acd3d94b0693cc0d34770`
MD5	`58deacf3dc5cdcdc415f83c4bd113ccb`
BLAKE2b-256	`3b705036a5fc215f490281306d6829be9e2aa246bc6cd3497081f977a11e463a`

Algorithm	Hash digest
SHA256	`19c36efe61125ca304cabeab4f6be1a19e74ded396682999b6c2f0b6bd301648`
MD5	`cb1f675c3592bc9b57acb38760ea4eae`
BLAKE2b-256	`73a53dc3a2f15dc27bfd77dfb2314dbd670cdede493de4e1b9297a7cdab51516`

Algorithm	Hash digest
SHA256	`12d2207a8313fbf233398db9a4dec082e78141a16b86c4bedbf35648a4134ce4`
MD5	`a708b750e547517f77414ac15d2add6c`
BLAKE2b-256	`231e438fade17dac370d049809a9f16fba7c7f0f973ae2542e3c1e9b7903277c`

patato 0.5.16

Navigation

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Project description

PATATO: PhotoAcoustic Tomography Analysis TOolkit

Getting Started

Citing PATATO

Documentation, examples and contributing

Project details

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Release history Release notifications | RSS feed

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

Algorithm	Hash digest
SHA256	`c0b1cb8a8f31affec33e351b78d86b7ebe8cb19683ec329fd7304af0922d0de0`
MD5	`990225ddd332c9c7ad0c60d986dad080`
BLAKE2b-256	`dcae8ebf91d31a6c1f54cb978d4d8248e404312be50585d024b742138a5f11e4`

Algorithm	Hash digest
SHA256	`9e8db199928c4af4e935c811045e0771baedcbf726db6d107b25f11acacd7494`
MD5	`04695228072774f1b92c987b14530e97`
BLAKE2b-256	`36c5e169c198d302f0c992f460d386859bb30eefb8879d11eb8808cc9530ff40`

Algorithm	Hash digest
SHA256	`3d973ddc84cc83dd6f22b47ee5d14793d5de7751266dacc003c22ca9613b1a4b`
MD5	`ca489da133d3c94a2fd1fefdd408eb84`
BLAKE2b-256	`3d53df11341c8ee0b61d196dcc039ed3272b5b320608645befc2af62a9a50f9e`

Algorithm	Hash digest
SHA256	`4ed11880383e50b2ff87405d5a0366c86e2a9ee8eec245620874307e7f6d66ed`
MD5	`448585d1f3e7a83fdd6c6cc4cdbf17b4`
BLAKE2b-256	`b57fcfe2a5b292449ad044f0462f4c94d89e8bc1d2482a2c030694209dbe98e6`

Algorithm	Hash digest
SHA256	`fe7d6a48ab457e6c1ebd75f9b66ea675496f6151435746be8831e8c0b89d2a9e`
MD5	`49b9258557cefb024baf6744fa9acce7`
BLAKE2b-256	`aec3422fd4a25bf669eef031ca17d4242e8f15bb13ae8e47dc035c6316763b6e`

Algorithm	Hash digest
SHA256	`f4493986f136785df70d6f8b21da44f747d0e533ab33fe67f5025b5ffcba30ca`
MD5	`3b150b243fe108a2ea65bfca7832ae48`
BLAKE2b-256	`0c422a9733abc04d3191d4866f9084cfd120d8751e8fc6e70c491eb92c8b9f06`

Algorithm	Hash digest
SHA256	`9c97e980182fdebedbdb05bec00ceef682ad92e114ef4e70ff8acc672ed60588`
MD5	`df5a146094ddd0c75d6e366978c75b5f`
BLAKE2b-256	`f1d7b01115195d1d6548b2336a667ef0a0ed1cde6f5ed27ee812680e43d8b3b3`

Algorithm	Hash digest
SHA256	`48293add2a5799047039496fce111d67b98c03780db1437a86a101206a853663`
MD5	`9282f80e6f712942d3da4fc46860c184`
BLAKE2b-256	`b5418e54b7f687cfa951475e282501d17889e4cba8f24883071e019eea6a04d8`

Algorithm	Hash digest
SHA256	`0b20272f4d3325e01c028de28aa7bf2b69e8beea47592dab2650995e6ec04711`
MD5	`849f761ce8be75519ecb44e7d74253ca`
BLAKE2b-256	`f3ac61329dc2d4a0eed67f1c4eea050f02135bd1a0ec3999f04fe67de6a069e8`

Algorithm	Hash digest
SHA256	`85b5abb59e32cea4bf38f069c864638f38778d0840f0e1f0563f66be73e8341b`
MD5	`0d9ec82d894a2b7b972cd90ba4fc204b`
BLAKE2b-256	`eccab8a1bff5af707762e035fb6d1547675e0e767c5aeda6eb48c9598e2fa1e3`