Skip to main content

MPI-parallel regular grids

Project description

µGrid

µGrid is a library for discrete representation of fields on structured grids. A field is a physical quantity that varies in space. µGrid makes it easy to implement algorithms that operate on fields, such as solving partial differential equations. It supports parallelization using domain decomposition implemented using the Message Passing Interface (MPI).

µGrid is written in C++ and currently has language bindings for Python.

This README contains only a small quick start guide. Please refer to the full documentation or the DeepWiki LLM-generated documentation for more help.

Quick start

To install µGrid, run

pip install muGrid

Note that on most platforms this will install a binary wheel, that was compiled with a minimal configuration. To compile for your specific platform use

pip install -v --no-binary muGrid muGrid

which will compile the code. µGrid will autodetect MPI. For I/O, it will try to use Unidata NetCDF for serial builds and PnetCDF for MPI-parallel builds. Monitor output to see which of these options were automatically detected.

Funding

This development has received funding from the Swiss National Science Foundation within an Ambizione Project and by the European Research Council within Starting Grant 757343.

Project details


Download files

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

Source Distribution

mugrid-0.0.0.tar.gz (580.1 kB view details)

Uploaded Source

Built Distributions

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

mugrid-0.0.0-cp314-cp314-win_arm64.whl (4.4 MB view details)

Uploaded CPython 3.14Windows ARM64

mugrid-0.0.0-cp314-cp314-win_amd64.whl (4.4 MB view details)

Uploaded CPython 3.14Windows x86-64

mugrid-0.0.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

mugrid-0.0.0-cp314-cp314-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl (4.0 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.26+ ARM64manylinux: glibc 2.28+ ARM64

mugrid-0.0.0-cp314-cp314-macosx_14_0_arm64.whl (3.8 MB view details)

Uploaded CPython 3.14macOS 14.0+ ARM64

mugrid-0.0.0-cp313-cp313-win_arm64.whl (4.3 MB view details)

Uploaded CPython 3.13Windows ARM64

mugrid-0.0.0-cp313-cp313-win_amd64.whl (4.4 MB view details)

Uploaded CPython 3.13Windows x86-64

mugrid-0.0.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

mugrid-0.0.0-cp313-cp313-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl (4.0 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.26+ ARM64manylinux: glibc 2.28+ ARM64

mugrid-0.0.0-cp313-cp313-macosx_14_0_arm64.whl (3.8 MB view details)

Uploaded CPython 3.13macOS 14.0+ ARM64

mugrid-0.0.0-cp312-cp312-win_arm64.whl (4.3 MB view details)

Uploaded CPython 3.12Windows ARM64

mugrid-0.0.0-cp312-cp312-win_amd64.whl (4.4 MB view details)

Uploaded CPython 3.12Windows x86-64

mugrid-0.0.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

mugrid-0.0.0-cp312-cp312-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl (4.0 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.26+ ARM64manylinux: glibc 2.28+ ARM64

mugrid-0.0.0-cp312-cp312-macosx_14_0_arm64.whl (3.8 MB view details)

Uploaded CPython 3.12macOS 14.0+ ARM64

mugrid-0.0.0-cp311-cp311-win_arm64.whl (4.3 MB view details)

Uploaded CPython 3.11Windows ARM64

mugrid-0.0.0-cp311-cp311-win_amd64.whl (4.4 MB view details)

Uploaded CPython 3.11Windows x86-64

mugrid-0.0.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

mugrid-0.0.0-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl (4.0 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.26+ ARM64manylinux: glibc 2.28+ ARM64

mugrid-0.0.0-cp311-cp311-macosx_14_0_arm64.whl (3.8 MB view details)

Uploaded CPython 3.11macOS 14.0+ ARM64

mugrid-0.0.0-cp310-cp310-win_arm64.whl (4.3 MB view details)

Uploaded CPython 3.10Windows ARM64

mugrid-0.0.0-cp310-cp310-win_amd64.whl (4.4 MB view details)

Uploaded CPython 3.10Windows x86-64

mugrid-0.0.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

mugrid-0.0.0-cp310-cp310-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl (4.0 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.26+ ARM64manylinux: glibc 2.28+ ARM64

mugrid-0.0.0-cp310-cp310-macosx_14_0_arm64.whl (3.8 MB view details)

Uploaded CPython 3.10macOS 14.0+ ARM64

File details

Details for the file mugrid-0.0.0.tar.gz.

File metadata

  • Download URL: mugrid-0.0.0.tar.gz
  • Upload date:
  • Size: 580.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.25

File hashes

Hashes for mugrid-0.0.0.tar.gz
Algorithm Hash digest
SHA256 49a5cf00fbf48fe4d0806ab3c8e1782e6801a1ff6ddae22cc546ec233c3461ca
MD5 911277454ed5bf45d9332cdd940ea71d
BLAKE2b-256 74cf5fd4ed2277900c23030bde3b76626dba5ed8716dfeb5a715b204b97308e2

See more details on using hashes here.

File details

Details for the file mugrid-0.0.0-cp314-cp314-win_arm64.whl.

File metadata

  • Download URL: mugrid-0.0.0-cp314-cp314-win_arm64.whl
  • Upload date:
  • Size: 4.4 MB
  • Tags: CPython 3.14, Windows ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for mugrid-0.0.0-cp314-cp314-win_arm64.whl
Algorithm Hash digest
SHA256 64942f07640ced46a351f629d2810041d03ba3330980063c3388f5a1e7be1437
MD5 f2adbe947f72efccdc9027e13e390804
BLAKE2b-256 af9f6317557659dec45999e398795944a78bb56950e9f016d304ab23adeb09fc

See more details on using hashes here.

File details

Details for the file mugrid-0.0.0-cp314-cp314-win_amd64.whl.

File metadata

  • Download URL: mugrid-0.0.0-cp314-cp314-win_amd64.whl
  • Upload date:
  • Size: 4.4 MB
  • Tags: CPython 3.14, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for mugrid-0.0.0-cp314-cp314-win_amd64.whl
Algorithm Hash digest
SHA256 827b67e99c6c8242ed08b3261ede20be9fade1a53a7b91f2ea8b5d3bfaf89779
MD5 05bcc23fcd48d58bac7510d830059570
BLAKE2b-256 f3b206628f69675fd38a7034b927f7fbd92fab7896fc8e59c0d2a5e6253e3117

See more details on using hashes here.

File details

Details for the file mugrid-0.0.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for mugrid-0.0.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 2f7c181a6eb25a8045f1ace97b8407a7a0f9b7866106c6698489631044eba205
MD5 0342d319508273b73fb12595e119ff94
BLAKE2b-256 c310955ea03cee12b35bb71fb1565ef91bcd71c1248179630db192fca75c0af4

See more details on using hashes here.

File details

Details for the file mugrid-0.0.0-cp314-cp314-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for mugrid-0.0.0-cp314-cp314-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 45faaa827826a209929224290baf9bc68499f0c08f08da18b1ac7794fe32407a
MD5 31433345c2f53299453b34f4e82cb878
BLAKE2b-256 6ef73393e7eef8be72617e58dbe22dd4c8c55be283773fe1c344375e6f8676b7

See more details on using hashes here.

File details

Details for the file mugrid-0.0.0-cp314-cp314-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for mugrid-0.0.0-cp314-cp314-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 3130c31f04cca1b0ddabe030bbb81a479caa570940d245c6f614ac71dd4bff47
MD5 630f923fcbd408c4240da716de54bf5a
BLAKE2b-256 861ee79179eb3ce4eeb4d964d207604ca1750acd8d0f7614dcfc445b7d6cb8e2

See more details on using hashes here.

File details

Details for the file mugrid-0.0.0-cp313-cp313-win_arm64.whl.

File metadata

  • Download URL: mugrid-0.0.0-cp313-cp313-win_arm64.whl
  • Upload date:
  • Size: 4.3 MB
  • Tags: CPython 3.13, Windows ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for mugrid-0.0.0-cp313-cp313-win_arm64.whl
Algorithm Hash digest
SHA256 c85ae9d2e6d587316fae8ea8bd921f3c18a439378827e8080cd7d89cfdaf18f5
MD5 3df466094829f2330c83d7622a658438
BLAKE2b-256 0b562ab18a0857bd47f1cdeb96419fb716ccbb4ff15692556aad12826db47c76

See more details on using hashes here.

File details

Details for the file mugrid-0.0.0-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: mugrid-0.0.0-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 4.4 MB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for mugrid-0.0.0-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 b7f89bc01983c23323409fe75113e1c65350a8913b6b87d8c09d2f606fd7f61f
MD5 ede01c96904b2a4a9ee0a8ebe154ef9f
BLAKE2b-256 76c485c28d85504eb7ecabea02f2c7e21ec9de17fff0f409c2c4a14349c58dac

See more details on using hashes here.

File details

Details for the file mugrid-0.0.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for mugrid-0.0.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 f99c1aa71ed8c2824685dd97b611bfebfe621fee76fd1df3a066d8a8225a719e
MD5 afae30cdad2e207ce39fc5c8f87396cb
BLAKE2b-256 92fbe53fc7fd0571a35d66123f8a8fd900637b086fac42bbc0eee0530fd45d85

See more details on using hashes here.

File details

Details for the file mugrid-0.0.0-cp313-cp313-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for mugrid-0.0.0-cp313-cp313-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 a7d507742601869968a288af509a93fc1d2836d1020c3cf97a083648533c6412
MD5 374867c7ec62945ab709d5d1f9a6ee1c
BLAKE2b-256 8f75f8798c532047cb8553db1a9781c57952e6cccb6bec9813ef02439eeeab33

See more details on using hashes here.

File details

Details for the file mugrid-0.0.0-cp313-cp313-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for mugrid-0.0.0-cp313-cp313-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 b14436c9d37c602bfb4b80343294260d9b778e8f44ca4f386087b463ddfb7ea8
MD5 3283e722631badc5c7fb418c97520ed7
BLAKE2b-256 03604989388a2fc3910fd453619ff92155a91f9b4913744b28d318f7da397486

See more details on using hashes here.

File details

Details for the file mugrid-0.0.0-cp312-cp312-win_arm64.whl.

File metadata

  • Download URL: mugrid-0.0.0-cp312-cp312-win_arm64.whl
  • Upload date:
  • Size: 4.3 MB
  • Tags: CPython 3.12, Windows ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for mugrid-0.0.0-cp312-cp312-win_arm64.whl
Algorithm Hash digest
SHA256 f0657901b3b808f16d5a1a67e67f4034592da1ddc1e91ebe1dad7644c9bf6fa7
MD5 20987456f0d8c5859a3480732ecd77c3
BLAKE2b-256 b12442b1721d990582b69e8bbdcabf08b3818cf57259833b64525e2bd6b8800a

See more details on using hashes here.

File details

Details for the file mugrid-0.0.0-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: mugrid-0.0.0-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 4.4 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for mugrid-0.0.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 08066a18af3af1139a5826255ecf8e6eb90e95c9acce57eddfdd953515c7a88e
MD5 3fe77378f88bd0c96cccd892efc97349
BLAKE2b-256 1ac4a35b3772e25a5ef6e117325fb100d28df67e869d9cc6a2b16c6e680566c7

See more details on using hashes here.

File details

Details for the file mugrid-0.0.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for mugrid-0.0.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 b7c5cd3f092711e9ab4777ab805edc8b64fcc009c72e4dc709a0d2236733d1bc
MD5 e6d89de29bdc35cd64a2cbf9c5f3fef4
BLAKE2b-256 8b422325e13626fa34f9710fcee38fced1984d89b2055e843d41ef7381ad4768

See more details on using hashes here.

File details

Details for the file mugrid-0.0.0-cp312-cp312-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for mugrid-0.0.0-cp312-cp312-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 20491f47008765d16c761bb45d27d3f9025158489f749436519f31b24527eec6
MD5 2d67cbde89a856a042c14585d01ad045
BLAKE2b-256 f7c2f8a5fa62b25d69befc03637e1921cefc8f49ac162b2dc1fb29e8ef5d70a8

See more details on using hashes here.

File details

Details for the file mugrid-0.0.0-cp312-cp312-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for mugrid-0.0.0-cp312-cp312-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 925a4cef498c6740f9d412f7ea1bfa500ddf570d23bf3daa295583735eecfb05
MD5 c6eaf5cb995f8a6bf2d29a408023f36c
BLAKE2b-256 06d31d0a6a4ffd2260cb386ccf50fdbe0c8de43ef7155a1b15e00a3aec986f2d

See more details on using hashes here.

File details

Details for the file mugrid-0.0.0-cp311-cp311-win_arm64.whl.

File metadata

  • Download URL: mugrid-0.0.0-cp311-cp311-win_arm64.whl
  • Upload date:
  • Size: 4.3 MB
  • Tags: CPython 3.11, Windows ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for mugrid-0.0.0-cp311-cp311-win_arm64.whl
Algorithm Hash digest
SHA256 8ba2be37a6247f8733e4a62c47c901bafac81372b73a0777d12b3057d87f0e97
MD5 9bfb90ca57a9707aa41b675d9ae18806
BLAKE2b-256 d4b2ee00d36da77292d18d2b225029548fd9048c8c1a0431b2163ad913e797a9

See more details on using hashes here.

File details

Details for the file mugrid-0.0.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: mugrid-0.0.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 4.4 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for mugrid-0.0.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 94909561626a1b97e70456b577e8c033f2bb02d2f23a1fc7998487e8c4d50685
MD5 7abd4b0ad214049bdc37501aa2e4cd85
BLAKE2b-256 c6ab7e1169a1b50b452ce6a9cac3399086aa10e74e7e6114e5f605de14a7bd5e

See more details on using hashes here.

File details

Details for the file mugrid-0.0.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for mugrid-0.0.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 f337056d8bf999fd2ef82801abee2a9664211ba89471307e37a43d59b6d52ac9
MD5 cc6cf2d99a0aebf08fc156e62b610bdf
BLAKE2b-256 cbbc2602bb0851ff87b8a413c2c8691f3d8ba8d911b5012335bb3d4b4ccd7fd9

See more details on using hashes here.

File details

Details for the file mugrid-0.0.0-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for mugrid-0.0.0-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 6b604e1e95f507fcbb57f53e4d7a0695948fbdb9c8f9d13c1d15631a152aaaa3
MD5 eeee772605b70f9f37a0cd701c39099b
BLAKE2b-256 8f1de3d3fa6fa990f654eade3bcb3109be5b46182b339f454163a5f5c2d5616c

See more details on using hashes here.

File details

Details for the file mugrid-0.0.0-cp311-cp311-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for mugrid-0.0.0-cp311-cp311-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 17dd2be62fbdb007ea24b04b0d82d211d59b65ffaf269ee5618c544fd11afd47
MD5 9bc3a726e0dd78624e60e7fc264dc28c
BLAKE2b-256 f759dcca5ceea6dc8d138833085cd81f80937416e15a629a542ceecec5543cd0

See more details on using hashes here.

File details

Details for the file mugrid-0.0.0-cp310-cp310-win_arm64.whl.

File metadata

  • Download URL: mugrid-0.0.0-cp310-cp310-win_arm64.whl
  • Upload date:
  • Size: 4.3 MB
  • Tags: CPython 3.10, Windows ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for mugrid-0.0.0-cp310-cp310-win_arm64.whl
Algorithm Hash digest
SHA256 a1f07428c029b658bbc2c2c0b0b9b1738c965b48b96c59d90282a9d1e01e128b
MD5 6a03ef4f89331a5bcbc7883756c92613
BLAKE2b-256 3427c33ace66044e6fa84df2e2eb231e5e7bf1d7e0caeb954426b19faa2a16ab

See more details on using hashes here.

File details

Details for the file mugrid-0.0.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: mugrid-0.0.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 4.4 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for mugrid-0.0.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 e60532086fcfb8d4f0fc2072b8805a3c794252860f738c46d0e1b3fa31e7332b
MD5 c09a9256721a2b1907f2456f3cf85e75
BLAKE2b-256 b8775a3670a80dd5669cb591d5dcc39fa6552d5e66c254f36db74b083bbe1403

See more details on using hashes here.

File details

Details for the file mugrid-0.0.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for mugrid-0.0.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 f6e3f3be2d354ea9d3e799bc74ceb46855d0674b2f2a7848193c3d5815f01711
MD5 37dfebb47517ed9d484986193187aa87
BLAKE2b-256 c0e642953301ffa20c2eb121490834cf039eff6eb0bdcd66d2cd9dff1f38ab78

See more details on using hashes here.

File details

Details for the file mugrid-0.0.0-cp310-cp310-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for mugrid-0.0.0-cp310-cp310-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 e7a254c8b646dc58a5b16f1e74a9d7ae5f7a40fa34577a5eeaff58fe761674c7
MD5 557b544ed09feb0318b11284e73e1748
BLAKE2b-256 60ced7390ee2a2f9a1f00cda977a45ca4c9af11835b3744c5b2e0cb7717a9f8d

See more details on using hashes here.

File details

Details for the file mugrid-0.0.0-cp310-cp310-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for mugrid-0.0.0-cp310-cp310-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 177bff82f9050a2a50b1856fd2a57b8f89d8463828d9a36f2d219d476454336e
MD5 c8afe9ee9ccf8208277edd25fa6dc50e
BLAKE2b-256 05165da6535977f290009687b17dad23d2a7d3cf7f1a86af34411f4464c4648c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page