Python package for HEALPix discretisation of the sphere

These details have not been verified by PyPI

Project links

Homepage

Project description

healpix

Python and C package for HEALPix discretisation of the sphere

This package implements a lean set of routines for working with the HEALPix discretisation of the sphere. It supports NSIDE parameters up to 2^29.

The C library is based on the healpix_bare library, which was released under the 3-clause BSD license, with the following additions:

Sub-pixel indexing.
Conversions between the UNIQ and RING/NEST pixel indexing schemes.

If you are using this code in your research, please consider citing the original paper in your publications:

Gorski et al., 2005, ApJ, 622, 759

Python

The Python package provides functions that deal with the discretisation of the sphere itself. It is not meant to be a replacement of healpy, and does not contain things such as functions for the visualisation of maps, or spherical harmonic transforms.

The Python package consists of two modules:

The low-level chealpix module, which is a native C extension, and efficiently vectorises the C library functions over arbitrary numpy array inputs (including scalars, of course).
The high-level healpix module, which contains a more streamlined interface, and additional functionality:
- Random point picking in HEALPix pixels.

For a function reference, run pydoc healpix (or pydoc chealpix) locally if you have the package installed, or see the online reference.

The high-level functions in the healpix module can be used more or less interchangeably with functions from the healpy package. However, in some cases, compatibility is sacrificed for consistency.

The Python package requires only numpy, and can be installed using pip:

pip install healpix

The vectorised C functions carefully avoid the creation of temporary arrays, and therefore have minimal memory overhead:

>>> import numpy as np, healpix, tracemalloc
>>> 
>>> # random vectors with 1G of memory per component (less than a NSIDE=4K map)
>>> x, y, z = np.random.randn(3, 125_000_000)
>>> 
>>> tracemalloc.start()
>>> 
>>> lon, lat = healpix.vec2ang(x, y, z, lonlat=True)
>>> 
>>> tracemalloc.get_traced_memory()
(2000010342, 2000013889)  # current, peak
>>> 
>>> # no memory overhead: only the 2G output arrays were used

Project details

These details have not been verified by PyPI

Project links

Homepage

Release history Release notifications | RSS feed

2024.2

Jun 22, 2024

2024.1

Apr 16, 2024

This version

2023.4

Feb 6, 2024

2023.1.13

Jan 13, 2023

2022.11.1

Nov 1, 2022

2022.10.31

Nov 1, 2022

Download files

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

Source Distribution

healpix-2023.4.tar.gz (17.5 kB view details)

Uploaded Feb 6, 2024 Source

Built Distributions

healpix-2023.4-cp312-cp312-win_amd64.whl (24.2 kB view details)

Uploaded Feb 6, 2024 CPython 3.12 Windows x86-64

healpix-2023.4-cp312-cp312-win32.whl (23.6 kB view details)

Uploaded Feb 6, 2024 CPython 3.12 Windows x86

healpix-2023.4-cp312-cp312-musllinux_1_1_x86_64.whl (76.7 kB view details)

Uploaded Feb 6, 2024 CPython 3.12 musllinux: musl 1.1+ x86-64

healpix-2023.4-cp312-cp312-musllinux_1_1_i686.whl (78.9 kB view details)

Uploaded Feb 6, 2024 CPython 3.12 musllinux: musl 1.1+ i686

healpix-2023.4-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (73.1 kB view details)

Uploaded Feb 6, 2024 CPython 3.12 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

healpix-2023.4-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (77.2 kB view details)

Uploaded Feb 6, 2024 CPython 3.12 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

healpix-2023.4-cp312-cp312-macosx_10_9_x86_64.whl (22.7 kB view details)

Uploaded Feb 6, 2024 CPython 3.12 macOS 10.9+ x86-64

healpix-2023.4-cp311-cp311-win_amd64.whl (24.1 kB view details)

Uploaded Feb 6, 2024 CPython 3.11 Windows x86-64

healpix-2023.4-cp311-cp311-win32.whl (23.4 kB view details)

Uploaded Feb 6, 2024 CPython 3.11 Windows x86

healpix-2023.4-cp311-cp311-musllinux_1_1_x86_64.whl (77.0 kB view details)

Uploaded Feb 6, 2024 CPython 3.11 musllinux: musl 1.1+ x86-64

healpix-2023.4-cp311-cp311-musllinux_1_1_i686.whl (79.1 kB view details)

Uploaded Feb 6, 2024 CPython 3.11 musllinux: musl 1.1+ i686

healpix-2023.4-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (72.8 kB view details)

Uploaded Feb 6, 2024 CPython 3.11 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

healpix-2023.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (76.7 kB view details)

Uploaded Feb 6, 2024 CPython 3.11 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

healpix-2023.4-cp311-cp311-macosx_10_9_x86_64.whl (22.5 kB view details)

Uploaded Feb 6, 2024 CPython 3.11 macOS 10.9+ x86-64

healpix-2023.4-cp310-cp310-win_amd64.whl (24.1 kB view details)

Uploaded Feb 6, 2024 CPython 3.10 Windows x86-64

healpix-2023.4-cp310-cp310-win32.whl (23.4 kB view details)

Uploaded Feb 6, 2024 CPython 3.10 Windows x86

healpix-2023.4-cp310-cp310-musllinux_1_1_x86_64.whl (76.0 kB view details)

Uploaded Feb 6, 2024 CPython 3.10 musllinux: musl 1.1+ x86-64

healpix-2023.4-cp310-cp310-musllinux_1_1_i686.whl (78.0 kB view details)

Uploaded Feb 6, 2024 CPython 3.10 musllinux: musl 1.1+ i686

healpix-2023.4-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (72.6 kB view details)

Uploaded Feb 6, 2024 CPython 3.10 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

healpix-2023.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (76.5 kB view details)

Uploaded Feb 6, 2024 CPython 3.10 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

healpix-2023.4-cp310-cp310-macosx_10_9_x86_64.whl (22.5 kB view details)

Uploaded Feb 6, 2024 CPython 3.10 macOS 10.9+ x86-64

healpix-2023.4-cp39-cp39-win_amd64.whl (24.1 kB view details)

Uploaded Feb 6, 2024 CPython 3.9 Windows x86-64

healpix-2023.4-cp39-cp39-win32.whl (23.4 kB view details)

Uploaded Feb 6, 2024 CPython 3.9 Windows x86

healpix-2023.4-cp39-cp39-musllinux_1_1_x86_64.whl (75.7 kB view details)

Uploaded Feb 6, 2024 CPython 3.9 musllinux: musl 1.1+ x86-64

healpix-2023.4-cp39-cp39-musllinux_1_1_i686.whl (77.8 kB view details)

Uploaded Feb 6, 2024 CPython 3.9 musllinux: musl 1.1+ i686

healpix-2023.4-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (72.4 kB view details)

Uploaded Feb 6, 2024 CPython 3.9 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

healpix-2023.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (76.3 kB view details)

Uploaded Feb 6, 2024 CPython 3.9 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

healpix-2023.4-cp39-cp39-macosx_10_9_x86_64.whl (22.5 kB view details)

Uploaded Feb 6, 2024 CPython 3.9 macOS 10.9+ x86-64

healpix-2023.4-cp38-cp38-win_amd64.whl (24.1 kB view details)

Uploaded Feb 6, 2024 CPython 3.8 Windows x86-64

healpix-2023.4-cp38-cp38-win32.whl (23.4 kB view details)

Uploaded Feb 6, 2024 CPython 3.8 Windows x86

healpix-2023.4-cp38-cp38-musllinux_1_1_x86_64.whl (76.6 kB view details)

Uploaded Feb 6, 2024 CPython 3.8 musllinux: musl 1.1+ x86-64

healpix-2023.4-cp38-cp38-musllinux_1_1_i686.whl (78.7 kB view details)

Uploaded Feb 6, 2024 CPython 3.8 musllinux: musl 1.1+ i686

healpix-2023.4-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (72.9 kB view details)

Uploaded Feb 6, 2024 CPython 3.8 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

healpix-2023.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (76.8 kB view details)

Uploaded Feb 6, 2024 CPython 3.8 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

healpix-2023.4-cp38-cp38-macosx_10_9_x86_64.whl (22.5 kB view details)

Uploaded Feb 6, 2024 CPython 3.8 macOS 10.9+ x86-64

healpix-2023.4-cp37-cp37m-win_amd64.whl (24.1 kB view details)

Uploaded Feb 6, 2024 CPython 3.7m Windows x86-64

healpix-2023.4-cp37-cp37m-win32.whl (23.4 kB view details)

Uploaded Feb 6, 2024 CPython 3.7m Windows x86

healpix-2023.4-cp37-cp37m-musllinux_1_1_x86_64.whl (76.1 kB view details)

Uploaded Feb 6, 2024 CPython 3.7m musllinux: musl 1.1+ x86-64

healpix-2023.4-cp37-cp37m-musllinux_1_1_i686.whl (78.3 kB view details)

Uploaded Feb 6, 2024 CPython 3.7m musllinux: musl 1.1+ i686

healpix-2023.4-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (71.5 kB view details)

Uploaded Feb 6, 2024 CPython 3.7m manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

healpix-2023.4-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (75.4 kB view details)

Uploaded Feb 6, 2024 CPython 3.7m manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

healpix-2023.4-cp37-cp37m-macosx_10_9_x86_64.whl (22.4 kB view details)

Uploaded Feb 6, 2024 CPython 3.7m macOS 10.9+ x86-64

healpix-2023.4-cp36-cp36m-win_amd64.whl (26.7 kB view details)

Uploaded Feb 6, 2024 CPython 3.6m Windows x86-64

healpix-2023.4-cp36-cp36m-win32.whl (25.5 kB view details)

Uploaded Feb 6, 2024 CPython 3.6m Windows x86

healpix-2023.4-cp36-cp36m-musllinux_1_1_x86_64.whl (75.1 kB view details)

Uploaded Feb 6, 2024 CPython 3.6m musllinux: musl 1.1+ x86-64

healpix-2023.4-cp36-cp36m-musllinux_1_1_i686.whl (77.4 kB view details)

Uploaded Feb 6, 2024 CPython 3.6m musllinux: musl 1.1+ i686

healpix-2023.4-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (71.5 kB view details)

Uploaded Feb 6, 2024 CPython 3.6m manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

healpix-2023.4-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (75.4 kB view details)

Uploaded Feb 6, 2024 CPython 3.6m manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

healpix-2023.4-cp36-cp36m-macosx_10_9_x86_64.whl (22.1 kB view details)

Uploaded Feb 6, 2024 CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file healpix-2023.4.tar.gz.

File metadata

Download URL: healpix-2023.4.tar.gz
Upload date: Feb 6, 2024
Size: 17.5 kB
Tags: Source
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/4.0.2 CPython/3.11.7

File hashes

Hashes for healpix-2023.4.tar.gz
Algorithm	Hash digest
SHA256	`f5c29ddc5438d2b90beb7f238dee5755cb18dcaf5d36c10c21021b99809a48be`
MD5	`030b093b196cab624acec92fe8c969ac`
BLAKE2b-256	`fc5b05a89937881a83b3183b585622da4d8ae7eb2346fb8962eef29d82ff4de5`

Algorithm	Hash digest
SHA256	`2b8e73f44d99a197b043fe483ef811117c81a3fe9e69853993365d9e3bb7ce1a`
MD5	`8e4f9e312ad2891879258f0ee10d4754`
BLAKE2b-256	`d2fce1681622d081fca7fc52d1ee69d282beaacf9322ea74468de55541565a0c`

Algorithm	Hash digest
SHA256	`fa75940eb5a29ccd6830e8fcf8816d953c926cdf4f86fc051ad4a70a759f23dc`
MD5	`642961784284c30a1dae79834b1a61b5`
BLAKE2b-256	`0bd87569f6c377f876b2393ba2685c3e682dcb28151b226bc99679b5244dfad7`

Algorithm	Hash digest
SHA256	`859a6dd48817d5aaa94ff9b95214c62b0b186b0f3641922e2b1b8a28a8e8b70d`
MD5	`cf6061b75ee7bb654a9cc7498496fefa`
BLAKE2b-256	`e8a5eb1666d1618de477b60a8f54891fbc1ce25267bdc5b8852a395c6c1974e1`

Algorithm	Hash digest
SHA256	`e8037bf399e5830ae6a41b9b19c30037933452a7af5c5a98ddcdd82acae6c0ff`
MD5	`976705b9b3af05fa1033f51a5fa11162`
BLAKE2b-256	`c2c486ba33ca743dd8ebb3cd61eebeee729f73a63ffed6c0f5a4a4eedacb8c46`

Algorithm	Hash digest
SHA256	`fed7b1fa9ed0463c91bc883bd92fc92d77e216d3ce5e030c4d3631138e36f68e`
MD5	`a7fba381931004b4b7d4f4af6885d693`
BLAKE2b-256	`4112be6d8e24bf7d5f80c0e0bc61f5a8edd0f394b8c397741c663730945fb286`

Algorithm	Hash digest
SHA256	`214abf9ad80a29186df62afef49fbdd28488c8dc6ecb7f57bc53bc07cc5c68ec`
MD5	`0f73df8b3cd93eecc5785158d73d599e`
BLAKE2b-256	`fd7e4c5068aa0792faad6bc53c182f12ecf93aa8817a005223b1397ee171d445`

Algorithm	Hash digest
SHA256	`f82c3eb48ff2aee98c310560ccaced2b2374fb5cb4e65379b712b242894d1b0c`
MD5	`5cc620bd74f1ca7c6cdadf70785b1ff8`
BLAKE2b-256	`4fe604fbd814e419b5d26b3b16724b49108a2c10abd3e7f92f1b9eb04d65ce42`

Algorithm	Hash digest
SHA256	`39e1bbe0b83f1259741b56d2efb07c801c6b04f5e090cb30cb02f79cf7d1396c`
MD5	`21c97c5034ed1503f3a97b0d341edf0d`
BLAKE2b-256	`dfe85f2cde52a8d1858f087e05a475082236ab5c1881768ad2a6f9a27cbaa886`

Algorithm	Hash digest
SHA256	`81c913867f6b72657c6b5146ea7a8b878a933a1ce15f4bcfd59ef08a128c2f79`
MD5	`78b7d785f8b17832fdfa553ae01c182e`
BLAKE2b-256	`29beddb8f8e32526411d95bd0731570e39fc3863343864d7f8125f91b0366c42`

Algorithm	Hash digest
SHA256	`b887ba8fbeebaeaf93e1c8e58e63d2ce0d1728d11e86b1ee98d706a54cc26af9`
MD5	`50882601a5abf1ee7a7d5311cdff27cd`
BLAKE2b-256	`6307a23bf4fd25a0d7d3325a8578d898f018336e5da130cd88d96e3953adf70d`

Algorithm	Hash digest
SHA256	`2d09926e6ca646c11b5ed6b6e2197d6aa2b208c20f86f40bb9697579dedeec68`
MD5	`c4a69394c37e589693597d7405d0e756`
BLAKE2b-256	`fafadc84eeba8355107d3f1b44a7e6d311c101bf4dc0c667fb4c150374bbf917`

Algorithm	Hash digest
SHA256	`884dcde57029ef5b9d8ba43b1b7b5152e84aa76f529a36c2c6e25616ea2cbea6`
MD5	`280b462dd31f0070d7fa514ce4491ee0`
BLAKE2b-256	`70e5b2745e474a75ec64698afc91b7ba5ab57876bad923cb710359ca8cefcb1a`

Algorithm	Hash digest
SHA256	`babb981dc141994c5656b66a36ed5feaf3a0732a853565dea2efd3fe7c4cc89b`
MD5	`0372804816e5d7b48226e4f2cd0b5cc2`
BLAKE2b-256	`ac1019e2c7e89d9b2d8d54a4bb1ef6f4333c0793de0f885aebadced6e7b03a75`

Algorithm	Hash digest
SHA256	`22690251e93f7cd1e2c0d3fc83c150d3f7d4038527ef70298f57fb65ed9cfeb5`
MD5	`85fc7bfc29c683e5dfb07cc71046022c`
BLAKE2b-256	`ecaebead4dd514c9a5d0d1ad569d95abde296f0b544d22109e2f21f9e5a89bf0`

Algorithm	Hash digest
SHA256	`a328dd765a717111d0baa50405e476aecce57ce2e8b322b02241852cc7dce419`
MD5	`5179309a10547e28229399190d5bf890`
BLAKE2b-256	`cb2bcdc3666f7246a210fd0343f85658206f3bf7d05a6ad91e14ac16c4bb4b9f`

Algorithm	Hash digest
SHA256	`5fdb2ec29c23144d7f3c491388b855a3dede12939ec3954a9d1fca4a793203c9`
MD5	`07a13b12df58618ca7264b8134d1810b`
BLAKE2b-256	`8a88c190c06d620443eaa06f9f31a2267e357bbebc088675c9d239e75c7b39e0`

Algorithm	Hash digest
SHA256	`a56031b062fc13e71aebef49f281514be1b995343eb31790383af50de65c1612`
MD5	`3f4235948bab397b78cc6dedd471a65f`
BLAKE2b-256	`10a114539cd618c6ea45f4f1e8393158c1f1dc3e098196dbf3167430590cf17a`

Algorithm	Hash digest
SHA256	`f17f84ad2d1c806a6e3d73f1a1bd6589a1f0c9147f665e8bf86861bdf2a182a4`
MD5	`7334db3276cbed7184c2c7970aacaeca`
BLAKE2b-256	`01a364410071364249883be7677335b4d7864f1f36b5381bf4cbfc77f3174249`

Algorithm	Hash digest
SHA256	`69977b66e94dccd25ab7a58582869dba02df27f77b7888de5335fafebe308455`
MD5	`46dda6e1290e87311c83143474e1fe72`
BLAKE2b-256	`6b349848d671178a13c237deecba4889bb4e128d85e22487f97713ad931f630c`

Algorithm	Hash digest
SHA256	`c89cc2e9c6d1b88f672908040fdb83052e0293007ce72b02def516051799a640`
MD5	`96ca13bf7d1d7256b87325380d23a23b`
BLAKE2b-256	`738fe1d02eb149c2f58e465d7702f50ba4f61ef1c5c29a70f8555b59895c4742`

healpix 2023.4

Navigation

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Project description

healpix

Python

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

File hashes

File details

Algorithm	Hash digest
SHA256	`83ed956f21ed9f7645b13457e74eea4fa13e986a6d9282049aef0047d87350c2`
MD5	`8881e159b22feb4fac4f59b881b5796b`
BLAKE2b-256	`2688249858d1c8e4af50746b1b30383bd492c6915e52adcccb4a633d1e23e20e`

Algorithm	Hash digest
SHA256	`ed73de1a1be937e1a3065ad6d122888d463a6578b9a6770c4274f28439264b7c`
MD5	`ac2e2727a653f9dd67f2932b4048a81d`
BLAKE2b-256	`12bce3f54de149bf450547081fb7e4355d7bcec63e0cef54176b0c8dbf075354`

Algorithm	Hash digest
SHA256	`697bc0e370050afda65f7596e31778ab5586c448f7188e03454f8712574a96b8`
MD5	`405dbaa730c1cb6fcfb71dc838243fc0`
BLAKE2b-256	`b948eb9484f3ab8444cf74ac23a2a9999237140c473bd90a1d3b6f5c76f067a1`

Algorithm	Hash digest
SHA256	`7767933387154073bfbc6af1be5da7e64c05ec5143abb619d23cd7f8299551cc`
MD5	`7b72c2cc323c049358f34d2261027628`
BLAKE2b-256	`4f44a1fd8d2eab04e892b20bb8b0ead612edc920021215da7d398d2fcd9129e0`

Algorithm	Hash digest
SHA256	`63e2f3480409dde72e32f41cd3e3800fc7244f50c3818473b964cc0afc9fa631`
MD5	`be4ac8d168c185034d334410c3adffe3`
BLAKE2b-256	`88d1939807a94cbb18e7005ba20855797d75f19616335a34be5e900d9c2989d6`

Algorithm	Hash digest
SHA256	`6ca86e71ddbc2d3ba1923bec2a8d61283af84a30496a0dcc4b7863c3f364038c`
MD5	`bc0c3b4a5757788ff1ad0b5925a5e5fe`
BLAKE2b-256	`85d0bd610c8971944d57e5d0de9cb293abab79404b7897535b567536b17cacb4`

Algorithm	Hash digest
SHA256	`61dd997cfd55b6fe36b33826240183be95c76d0bf8be37fcc0ba3dafb6739508`
MD5	`c98326ce89b740840243e217aa8ca6d8`
BLAKE2b-256	`e2562445eeb56888b2aaf128bf32186135361fb6ed0967a3282f1621080306c4`

Algorithm	Hash digest
SHA256	`1045a7881110e81d58b7aedc79f287cdf95af621094d95dfc1c209731c9f6348`
MD5	`5e5977a694e0c499b367ffe3293060f6`
BLAKE2b-256	`7d959db008e7f49ba3708e4f1d77135b4e6a40348ac30fe9c1eef8adcc3b419a`

Algorithm	Hash digest
SHA256	`701adeaf45ba67b9312a1cf52017e082293cec833046c764887775024ba6aba4`
MD5	`da1d71846351cb73333e5a463e1ec78a`
BLAKE2b-256	`31bc25f55f7539f68b93cec43989a04253d69550cc24421faf40174cb526e449`

Algorithm	Hash digest
SHA256	`4e91c5df39229c2d8a43d6ef7b3c573e32d06add0958468140e64097520f84ae`
MD5	`398d4d4052d5151669dc1d3bb920e1d5`
BLAKE2b-256	`59ee53ae854a981d6c536daf5dcc010c536ed2ad496f2d3b3d9245ff842bf397`