Fast and scalable Gaussian Processes in 1D

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for danfm from gravatar.com danfm

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Project description

celerite2

celerite is an algorithm for fast and scalable Gaussian Process (GP) Regression in one dimension and this library, celerite2 is a re-write of the original celerite project to improve numerical stability and integration with various machine learning frameworks. Documentation for this version can be found here. This new implementation includes interfaces in Python and C++, with full support for PyMC (v3 and v4) and JAX.

This documentation won't teach you the fundamentals of GP modeling but the best resource for learning about this is available for free online: Rasmussen & Williams (2006). Similarly, the celerite algorithm is restricted to a specific class of covariance functions (see the original paper for more information and a recent generalization for extensions to structured two-dimensional data). If you need scalable GPs with more general covariance functions, GPyTorch might be a good choice.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for danfm from gravatar.com danfm

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

0.3.2

0.3.2rc1 pre-release

0.3.1

0.3.1rc1 pre-release

0.3.0

This version

0.3.0rc3 pre-release

0.3.0rc1 pre-release

0.2.1

0.2.1rc1 pre-release

0.2.0

0.2.0rc2 pre-release

0.1.0

0.0.2

0.0.1

0.0.1rc1 pre-release

0.0.1.dev2 pre-release

0.0.1.dev1 pre-release

0.0.1.dev0 pre-release

0.0.0

Download files

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

Source Distribution

celerite2-0.3.0rc3.tar.gz (953.3 kB view details)

Uploaded Source

Built Distributions

celerite2-0.3.0rc3-cp312-cp312-win_amd64.whl (980.7 kB view details)

Uploaded CPython 3.12 Windows x86-64

celerite2-0.3.0rc3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (947.1 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

celerite2-0.3.0rc3-cp312-cp312-macosx_11_0_arm64.whl (806.0 kB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

celerite2-0.3.0rc3-cp312-cp312-macosx_10_9_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.12 macOS 10.9+ x86-64

celerite2-0.3.0rc3-cp312-cp312-macosx_10_9_universal2.whl (2.0 MB view details)

Uploaded CPython 3.12 macOS 10.9+ universal2 (ARM64, x86-64)

celerite2-0.3.0rc3-cp311-cp311-win_amd64.whl (983.0 kB view details)

Uploaded CPython 3.11 Windows x86-64

celerite2-0.3.0rc3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (947.9 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

celerite2-0.3.0rc3-cp311-cp311-macosx_11_0_arm64.whl (813.0 kB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

celerite2-0.3.0rc3-cp311-cp311-macosx_10_9_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

celerite2-0.3.0rc3-cp311-cp311-macosx_10_9_universal2.whl (2.0 MB view details)

Uploaded CPython 3.11 macOS 10.9+ universal2 (ARM64, x86-64)

celerite2-0.3.0rc3-cp310-cp310-win_amd64.whl (980.9 kB view details)

Uploaded CPython 3.10 Windows x86-64

celerite2-0.3.0rc3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (945.1 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

celerite2-0.3.0rc3-cp310-cp310-macosx_11_0_arm64.whl (809.1 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

celerite2-0.3.0rc3-cp310-cp310-macosx_10_9_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

celerite2-0.3.0rc3-cp310-cp310-macosx_10_9_universal2.whl (2.0 MB view details)

Uploaded CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64)

celerite2-0.3.0rc3-cp39-cp39-win_amd64.whl (982.7 kB view details)

Uploaded CPython 3.9 Windows x86-64

celerite2-0.3.0rc3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (945.9 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

celerite2-0.3.0rc3-cp39-cp39-macosx_11_0_arm64.whl (809.5 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

celerite2-0.3.0rc3-cp39-cp39-macosx_10_9_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

celerite2-0.3.0rc3-cp39-cp39-macosx_10_9_universal2.whl (2.0 MB view details)

Uploaded CPython 3.9 macOS 10.9+ universal2 (ARM64, x86-64)

celerite2-0.3.0rc3-cp38-cp38-win_amd64.whl (980.3 kB view details)

Uploaded CPython 3.8 Windows x86-64

celerite2-0.3.0rc3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (944.6 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

celerite2-0.3.0rc3-cp38-cp38-macosx_11_0_arm64.whl (808.9 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

celerite2-0.3.0rc3-cp38-cp38-macosx_10_9_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

celerite2-0.3.0rc3-cp38-cp38-macosx_10_9_universal2.whl (2.0 MB view details)

Uploaded CPython 3.8 macOS 10.9+ universal2 (ARM64, x86-64)

celerite2-0.3.0rc3-cp37-cp37m-win_amd64.whl (981.6 kB view details)

Uploaded CPython 3.7m Windows x86-64

celerite2-0.3.0rc3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (944.2 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

celerite2-0.3.0rc3-cp37-cp37m-macosx_10_9_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

celerite2-0.3.0rc3-cp36-cp36m-win_amd64.whl (985.7 kB view details)

Uploaded CPython 3.6m Windows x86-64

celerite2-0.3.0rc3-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (944.2 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64

celerite2-0.3.0rc3-cp36-cp36m-macosx_10_9_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file celerite2-0.3.0rc3.tar.gz.

File metadata

  • Download URL: celerite2-0.3.0rc3.tar.gz
  • Upload date:
  • Size: 953.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for celerite2-0.3.0rc3.tar.gz
Algorithm Hash digest
SHA256 8441555c0322b18ba027004690f0f715fbfce6d102335f7442ca8c57432c5e98
MD5 43c3ff43f74cecb0ac39b111f18fe176
BLAKE2b-256 a405167e6c7d80c581094b504394ba695fbaf4e603f5d864c3beebc2ab8755cf

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 f5471b8ffd2671d3a90f537a0d3d8591e3ed0e6406cedcfa288cdeb1d7df6a61
MD5 50e591ca50f70c6253433b9e7c4ce6a2
BLAKE2b-256 4c835f8194b89a780bb224784d61f57309428ea1a773e7c8baad94eaa76b9867

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 34415bbebf1e4ea413d84d8bbbfac99c28322f92a26f3f7bb21acba03fee3a66
MD5 14b5968028e931a4bfb0f47c6db8449d
BLAKE2b-256 de213757227ea15fb1aa3fd3aae246f0f42d608edd712aaafeef1e16e1341dbe

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 26967c14ad171eea9c44c6a3e081ab2fbb148387806b8a682b99f8e16dd277aa
MD5 599866cd5d163b9041c473f6b4cb7064
BLAKE2b-256 c2254c5e85134e4bad78f80ad7e6f301345b9c998ae94f499e392d001d088a53

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp312-cp312-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp312-cp312-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0b8f3f7a44a8235c1a389ab37a2b4238bcc3d70fb4a79a1f967bdf151dc664fd
MD5 89e8a7d6603663a3ace271f85c14e74d
BLAKE2b-256 e9f5f2bfdbbb0b0e72b857d75d27123582462b73f54b212949990ab836556189

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp312-cp312-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp312-cp312-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 c6bc6ea5200730cd84567d171e46eb77a68f927fdff5550e8619352c0a0df69f
MD5 23c78fe5f934398941a80f6362d9505a
BLAKE2b-256 93211139761bc458ebb16b8adb66c6f1d14de8fd5211b46ee2ac534be1e64394

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 9a0f20600ab161eef367fbc72e2d82e8c583c63ec3971b277e999d3575c3aa64
MD5 e0159bcb0a8f59a89f7212b57ed4bb88
BLAKE2b-256 e498d917166aa85c0a9597fcf73bcba8aad237a253b43e16986a47340c7fc8ec

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0436ddb4662e392c2bfc24906da5cf3121564773cc8f7ae324c455d32cba804b
MD5 eab769d9cb715ea4bee1c09e430353f5
BLAKE2b-256 427852e7ba9bac8f5dee8fbac6fd423788cc9d1171df87d9bd2de35180b4c4f7

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f0739a24f8a2b4ae66b8fbd2792a99ceb3cf834cf9e209ba2ab663c6ecead89a
MD5 22e78f38247c15df3f53afbf41cc2872
BLAKE2b-256 18fcc711997222e7f529a413a74fb74eaf52e28ef8f1c71ed5b8edb77ccecf98

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 61f2976be65be5d4712251ac2f443f47746e2724b9aba0501ec349c0fe87ec9d
MD5 0961481754f07df43a8db12ff965f1b3
BLAKE2b-256 1128a76356e294dcd0caf6fa9852eb38c7b37954a38fbed7a8d6a111b6b2461a

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 39d6b9d1bec136e5a1f75a42478cd38272c6b0d83f00854d9004c38d416abe65
MD5 bd029a4381deed03cff79949ecb8a83c
BLAKE2b-256 a67849306f10e70fbe4867ccff45b6c5a0b089f87caae9ca43acf28a3d8b88a5

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 1d689dc0b5fd0d55b6703ef16ee1ba94d36170928ff566afdccb47c67ea7296c
MD5 b46a7d36f30ed2f41b12f807c0d72484
BLAKE2b-256 4e0783a7b15c239317ade49e89fde2feb4c4bb8f38fa181e4087ae0489eaea4e

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 08843d824053edc9d0f629fd66783b2d3331dcc60ddec80a908531d780cb01ab
MD5 64904bbc6c3ba33931fbc8f60c2b18ed
BLAKE2b-256 b11319445448b638b96c8a57c60f32ddc958220f11ad39ad13933f9c9420f45b

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f92424fd02029f8de3a2e634148afb9a74f00827587e093a546c870c70829b74
MD5 9c15f9da45eaa11925b0127156b45095
BLAKE2b-256 fe8951ad9a52a761d24457f4218525536e0299c01903f104e01a116bd618c43d

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 3517ecc7337664d377d55e9725f211b4b9a0e4c6d0d6ddbb88316af1acf2a4ad
MD5 748ae71e2c80d55c3e04d6f68967a05d
BLAKE2b-256 aef7ee70e7a991807a542c53a3c71aad491de35de8be2b7b3b53032fb408048e

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 00254464f6a2624123907dc3cb953f997ec9cb0d77dc3107d8df4a4ddd7fa2bb
MD5 45415073ab537b1729887921587de313
BLAKE2b-256 9003e497883c1b5a22230bdbf4240e105372907373e93eee3f87e97def2ffd04

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 1c1eebf42964006e6144ce950e8d3ae86d5b362f757d1fcd79d5a0db5517ac25
MD5 fabdaf31ccce89cf604efb1d310b0910
BLAKE2b-256 1484f4be8a20c087ed65b4860bfec765dca6928616738ae68f54598a5e0c68f6

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 72443d70bcc1e97e562c6d183b1096e1363e19c292c07793cad3a8435a0c780c
MD5 4a9cbede735dd36bc8fc7a43ea5e0628
BLAKE2b-256 f22adbefb96ceb67e3be6b186e2d7b7f35ed4fe347115c309ff69498c177c57d

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 45c1cda4b7a85d5a696157cf8918218542b985f21ba529f828bbcc0c716d64f2
MD5 fbfec13b614aa891b338daca257382d3
BLAKE2b-256 27cdea1c803f57db7d99c1c4a02954324f0af0cf8dfc9905888c00b3a11a2a75

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e0121154eab65e1879f84145c321f6bb98412f069690437ac156df8628ee2ee9
MD5 dcfa4eb258d5a12de636657b4307dad9
BLAKE2b-256 b28ebd00ccd892ca0b75191f0a243dddec742a1feda343dfa4e003c391f68393

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 231a209d5273b6398779c1e478d2217aa89f7d750c3184a22d8aeddf90203764
MD5 d3f578a6e7ec49afad5f840e6657e5dc
BLAKE2b-256 75b06448cd5c48c494b5bee62a406bd376b124ff9b809b7f59190f99253883cd

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 24037a0a531e254c1c033b210ac883b5facbe56a14d800f0af717db89bf2bdb1
MD5 7528cbd4da56b2966475d73c2eb84f51
BLAKE2b-256 60bc7ef5a1b6885d358a86a7af98c048845aa0a6e2bb9d90eb2f1004364b0cde

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3e778ddab6858ef31f9926e62a9b45ee69439474f554d6e0ed9c568207b2ce62
MD5 b0ae4f38ff83bcc272c9210a349f75c2
BLAKE2b-256 0cb463ac2f6e8d5ee7979e75d40b2e39a8dbd8a27abbb59316891966fd410568

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 840009cb6ed042c39aa2b5acdb2fda7cf853a15085b7749c36d91d3429748ba1
MD5 f1c44c066c94d11aba3049b23835d3e4
BLAKE2b-256 4436256a9eb0b8b995336462a140e5013c2a81f419cf08b29afabfb65371c28a

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 9d2da786a413ac3bc61e38c8b794086295d4c5bfb4e6fcc285f1b85b02bdc56d
MD5 7e10a815fbdf46459077ee05de34d224
BLAKE2b-256 c92a745b04f77099a8a05f1e70c97a57c4644c8cdc8f7f7eecbf28ce9ef53115

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp38-cp38-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp38-cp38-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 41f269e897276e70ea6ae25af25c7428f9dee0f149f4385bb7386297ca32ee9a
MD5 452cc812259098527fcc1301a22c6648
BLAKE2b-256 6c58364507cc2e7e57407df9477633ced61d9dc15c7c24614397f742f251ebc5

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 25cac1ad33cd716fd49a8aa8a10106e7d1b68806258635b2f9a6b97fc64c0089
MD5 f0bdffebe653937b29cd50e46b76c5f5
BLAKE2b-256 ae6dc8cdd71f64dabec3702957a91831fd2484a140216017df8da8b42584e84b

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c03198e743f7ce86f60e8c53b84c8789c4454aa6cae6184ebb70eab32d293ecc
MD5 574006dbc2198a40c164d02bb0939825
BLAKE2b-256 33480f5d139bb60f0a9862acee476abbbd73ad051b1d7235271f402b99856d56

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 2325c10134e739a05084a440aa342ec085e22860427ab77c415ffdc1489b28c8
MD5 8007d883e0b90bcf31d42248bc4f8c9c
BLAKE2b-256 04f8951db593ba1d8e33282869edbf593e00f02e8e2928b76c5c32242af58e81

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 b4fe2a95a2d89cdad2b92b7d90b71aa6f6515c64cda614a4a4bd2eca1e6da477
MD5 9a563a83e2011977b25509b3ca94ad9b
BLAKE2b-256 35463493a185f8576c43cd141758fcf4e01e86e5a478372d099bbd7fbc05ad5f

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 853565f51e113ae98d11047a882a2cc8b61d67f8066d76afd511bf066205e731
MD5 3c0b8d2c36e72b17418080c6989db2d6
BLAKE2b-256 b678207ba7c44e0d4853ee96a14bbc7f3981ebc9be22a63ab52022f3a9a6178f

See more details on using hashes here.

Provenance

File details

Details for the file celerite2-0.3.0rc3-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for celerite2-0.3.0rc3-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 64e19d8c7742d5fee62f8330a3245a5a5a705f2b5a525600db08165336796162
MD5 bc386dd63a4f236788c0a5cab0b1851c
BLAKE2b-256 6eb0fc529b78978e12e2187b667006a259fbe05c970d4b750ea22afc5f8b1e8a

See more details on using hashes here.

Provenance

Supported by

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