Skip to main content

TVB computational kernels

Project description

tvb_kernels

This is a library of computational kernels for TVB.

scope

in order of priority

  • sparse delay coupling functions
  • fused heun neural mass model step functions
  • random number generation
  • neural ODE
  • bold / tavg monitors
  • small matmul suitable for neural ODE

which will then be used internally by TVB.

building

No stable versions are available, so users can install from source with pip install . or to just get a wheel pip wheel .

dev

for best experience

apt-get/brew install clangd clang-tidy
pip install -U pip
pip install -U python-lsp-server[all] cmake-language-server nanobind scikit-build-core[pyproject]
pip install --no-build-isolation -Ceditable.rebuild=true -ve .

for the plain makefile workflow,

bear -- make -B test

roadmap

  • improve api (ownership, checking etc)
  • variants
    • single
    • batches
    • spatialized parameters
  • cuda ports for Jax, CuPy and Torch users
  • mex functions?
  • scalable components
    • domains
    • projections
    • small vm to automate inner loop

Project details


Release history Release notifications | RSS feed

This version

0.5

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

tvb_kernels-0.5-cp312-abi3-win_amd64.whl (41.9 kB view details)

Uploaded CPython 3.12+ Windows x86-64

tvb_kernels-0.5-cp312-abi3-win32.whl (37.1 kB view details)

Uploaded CPython 3.12+ Windows x86

tvb_kernels-0.5-cp312-abi3-musllinux_1_2_x86_64.whl (149.6 kB view details)

Uploaded CPython 3.12+ musllinux: musl 1.2+ x86-64

tvb_kernels-0.5-cp312-abi3-musllinux_1_2_i686.whl (160.2 kB view details)

Uploaded CPython 3.12+ musllinux: musl 1.2+ i686

tvb_kernels-0.5-cp312-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (65.5 kB view details)

Uploaded CPython 3.12+ manylinux: glibc 2.17+ x86-64

tvb_kernels-0.5-cp312-abi3-manylinux_2_17_i686.manylinux2014_i686.whl (68.7 kB view details)

Uploaded CPython 3.12+ manylinux: glibc 2.17+ i686

tvb_kernels-0.5-cp312-abi3-macosx_11_0_arm64.whl (36.6 kB view details)

Uploaded CPython 3.12+ macOS 11.0+ ARM64

tvb_kernels-0.5-cp312-abi3-macosx_10_14_x86_64.whl (39.2 kB view details)

Uploaded CPython 3.12+ macOS 10.14+ x86-64

tvb_kernels-0.5-cp311-cp311-win_amd64.whl (43.6 kB view details)

Uploaded CPython 3.11 Windows x86-64

tvb_kernels-0.5-cp311-cp311-win32.whl (38.5 kB view details)

Uploaded CPython 3.11 Windows x86

tvb_kernels-0.5-cp311-cp311-musllinux_1_2_x86_64.whl (152.5 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.2+ x86-64

tvb_kernels-0.5-cp311-cp311-musllinux_1_2_i686.whl (163.1 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.2+ i686

tvb_kernels-0.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (68.6 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

tvb_kernels-0.5-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (72.1 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686

tvb_kernels-0.5-cp311-cp311-macosx_11_0_arm64.whl (38.8 kB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

tvb_kernels-0.5-cp311-cp311-macosx_10_14_x86_64.whl (41.7 kB view details)

Uploaded CPython 3.11 macOS 10.14+ x86-64

tvb_kernels-0.5-cp310-cp310-win_amd64.whl (43.7 kB view details)

Uploaded CPython 3.10 Windows x86-64

tvb_kernels-0.5-cp310-cp310-win32.whl (38.6 kB view details)

Uploaded CPython 3.10 Windows x86

tvb_kernels-0.5-cp310-cp310-musllinux_1_2_x86_64.whl (152.7 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.2+ x86-64

tvb_kernels-0.5-cp310-cp310-musllinux_1_2_i686.whl (163.2 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.2+ i686

tvb_kernels-0.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (68.8 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

tvb_kernels-0.5-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (72.2 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

tvb_kernels-0.5-cp310-cp310-macosx_11_0_arm64.whl (38.9 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

tvb_kernels-0.5-cp310-cp310-macosx_10_14_x86_64.whl (41.9 kB view details)

Uploaded CPython 3.10 macOS 10.14+ x86-64

tvb_kernels-0.5-cp39-cp39-win_amd64.whl (44.1 kB view details)

Uploaded CPython 3.9 Windows x86-64

tvb_kernels-0.5-cp39-cp39-win32.whl (39.1 kB view details)

Uploaded CPython 3.9 Windows x86

tvb_kernels-0.5-cp39-cp39-musllinux_1_2_x86_64.whl (152.7 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.2+ x86-64

tvb_kernels-0.5-cp39-cp39-musllinux_1_2_i686.whl (163.3 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.2+ i686

tvb_kernels-0.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (68.8 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

tvb_kernels-0.5-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (72.3 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

tvb_kernels-0.5-cp39-cp39-macosx_11_0_arm64.whl (39.0 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

tvb_kernels-0.5-cp39-cp39-macosx_10_14_x86_64.whl (41.9 kB view details)

Uploaded CPython 3.9 macOS 10.14+ x86-64

tvb_kernels-0.5-cp38-cp38-win_amd64.whl (44.0 kB view details)

Uploaded CPython 3.8 Windows x86-64

tvb_kernels-0.5-cp38-cp38-win32.whl (38.9 kB view details)

Uploaded CPython 3.8 Windows x86

tvb_kernels-0.5-cp38-cp38-musllinux_1_2_x86_64.whl (152.8 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.2+ x86-64

tvb_kernels-0.5-cp38-cp38-musllinux_1_2_i686.whl (163.4 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.2+ i686

tvb_kernels-0.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (68.8 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

tvb_kernels-0.5-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (72.0 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

tvb_kernels-0.5-cp38-cp38-macosx_11_0_arm64.whl (39.0 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

tvb_kernels-0.5-cp38-cp38-macosx_10_14_x86_64.whl (41.9 kB view details)

Uploaded CPython 3.8 macOS 10.14+ x86-64

File details

Details for the file tvb_kernels-0.5-cp312-abi3-win_amd64.whl.

File metadata

  • Download URL: tvb_kernels-0.5-cp312-abi3-win_amd64.whl
  • Upload date:
  • Size: 41.9 kB
  • Tags: CPython 3.12+, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for tvb_kernels-0.5-cp312-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 11c7db07874a83d7ea4cad3eca007a90d9288bf5275e592b78bf087be06e19d7
MD5 2156c5899274c963d93b7eaa6de8bcc5
BLAKE2b-256 e69edef2d336dfbb1061e01236e292105c0ea2d633bc8af1fbb6906c4fb905c5

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp312-abi3-win32.whl.

File metadata

  • Download URL: tvb_kernels-0.5-cp312-abi3-win32.whl
  • Upload date:
  • Size: 37.1 kB
  • Tags: CPython 3.12+, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for tvb_kernels-0.5-cp312-abi3-win32.whl
Algorithm Hash digest
SHA256 32c657ee6968d1486b407a5fb1ec90826d6759ad2a86fb932e8fc51788ad3a23
MD5 c2795971a9f2e6be1930c41f6fd7a6b9
BLAKE2b-256 1b7f4bd9e084247cd019bcf8c189c88820e8eba570c2d136c711aa29752a0a62

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp312-abi3-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp312-abi3-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 98e80be68dae0f50b9475773a1cb770ff7a6d9deea3f356c4b01c6804246c4c7
MD5 a1faa08a334e1f963b04eef36a661f86
BLAKE2b-256 2043fc0f4c6018c12455e5a5a7000d1943e98b722b569b9fe5662f5f3dbda9a5

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp312-abi3-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp312-abi3-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 5acfd077b7e5324b8a14187b044c0dd8e08bdb8d6ba84d6dca0756de16abbdcc
MD5 726eb2f9c19ea3f6e3db478e9926db19
BLAKE2b-256 cf8be71abdf1caa703994d2a6d9445cb0f48163a00678c1d109e168d01d87828

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp312-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp312-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3114f17e759ad990926c51d3f7fad6434f1b72c5b9e397ed9ff6773caf8896e2
MD5 54ba2d0fe72bbb1ad45ddcd4159902d4
BLAKE2b-256 3b8a70c4e868d5f3274662f50af6a7a4157b9092af20a8ff07b31af5f6c2b6d0

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp312-abi3-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp312-abi3-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 928ceaead204978dabfbf83acfef0c7ab2eb26fd8d704764f616e78280e67e69
MD5 1d5765f7b7f01c8f5061b5b02e34484f
BLAKE2b-256 a5ca3ecae70aaf41cf1a7f55fa16d82a62490caa44e5a1033957873284863531

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp312-abi3-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp312-abi3-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 47714c36c813e8cc30a2d6200f8b7a3d34390bbadcc4f3ab7447c91deec93437
MD5 9a8af33ec49e50b22a05492849f21de4
BLAKE2b-256 c24c76949f8c53bba59df7a4bbf87217a5f708b94cf7b345df734f2c6e33d05b

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp312-abi3-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp312-abi3-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 d81fe5ae951c0ae722687cced886d68b05b91196f055093bb1ebce140596affe
MD5 ff8bce0d7bf673faececc9e5c7ccc775
BLAKE2b-256 e9b400ce2ed37158ed8961a7e76e478fc44c37e094a78e0ce00ebbc1a0178f30

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 1a549de00ca7e4bc64e1d7add5dea68b0a244500ed2d91e49e55eccd7e321267
MD5 937538f41cb88053e270000ea49af8fb
BLAKE2b-256 2f5e71294b38351f150fa73cd28fe7e2c6ff0880814f9edb9392affc22e8db04

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp311-cp311-win32.whl.

File metadata

  • Download URL: tvb_kernels-0.5-cp311-cp311-win32.whl
  • Upload date:
  • Size: 38.5 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for tvb_kernels-0.5-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 38c88b9f1173bee510e156d66a19bf3cc50e43eaa119af3f16386f4761118c42
MD5 d6b1520e52c622d7b781883da09bdaf9
BLAKE2b-256 57bdf709d484bdde7113b7d01519e1ce002f03c37c6f31a51bfa0e079859ea94

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 1627594a18faa2fb47430a2fb15798df4c035fc1e6e8143b1dc26c6f86d8aca2
MD5 d12c01886d95181f431474dcf451f121
BLAKE2b-256 81bd4fed2a71321e50c07851fd775baf7dcb95183993ba8453580912342a0f62

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp311-cp311-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp311-cp311-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 c1a940897dd78dd638c4bdd0063991e54914b5c5fc6b52f02f7bd0af9d9b313d
MD5 a423ff34958464cf91d94d77903c09ee
BLAKE2b-256 f85ef2284948c265b0adead18992fbb7e492eb2e147ac4c85848a334f84fae22

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 53351675c6461e40012d1caf381503eb6fcf6fe82a11fb159b43a56e19c8700a
MD5 130b0ffeca2a11a7ddb511732853fe76
BLAKE2b-256 ef13c2ce2c90f9e5aa66473a8ade8128576756a1f7e8445fcff8690e6698a5e1

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 178c373c85d40e9b696b3c2047508b010a726e70f5166b4088a86e3a6cef6849
MD5 571553604e9a5cf3d869b9a020071d91
BLAKE2b-256 793bdcf11422e8f39cd951ac27d64e5ee6b0c7d3489efb6dd125290a15a965f9

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f7307560062878a481b094930b077b7c5f4df1c8d9573981b6e1115123f16b5d
MD5 8c92e98432550fb80f0b40fd475f78b1
BLAKE2b-256 a4c58b788792b7a983f3c85f933f6974ea74223a6132bb37fc8d8ca7f0fa434e

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp311-cp311-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp311-cp311-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 b0a2847d8dc74a995e58f015399243f61dc9d5dd2b7b2dbf393e96739ab45c7f
MD5 2e82c41d092c7d430eb36687561c7f4c
BLAKE2b-256 34fdb6513c3d35464b3e279126d88c6e9ac17e733d4cf83c9a2231f08127ae78

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 46f5684a571a2293b2906ae0779e520b0322faf88e1368683f3956779411ed33
MD5 967199ffaf0f6b192e473b09a8cb5ea6
BLAKE2b-256 b315c43db497c6c9a34880c65313f433756a4d2825404a47bf206d436292eb8e

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp310-cp310-win32.whl.

File metadata

  • Download URL: tvb_kernels-0.5-cp310-cp310-win32.whl
  • Upload date:
  • Size: 38.6 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for tvb_kernels-0.5-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 4d04d3f13c28ac126de608fd9bc64ce3c7013714771b42b12c685d5b91815f12
MD5 1ef2cf3dad134add12706504c49e4592
BLAKE2b-256 34467c46b2f3e52ddc58f5c4d78d5e3f7e78122ec2c8bf68f7088f5cfc769675

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 2e223d5a32bed70656fcda1004c8a7a8c53d7c83ff28bd3a1ece75e04f2a8439
MD5 861c9d6f5fadb4af0e345ce5fcea0661
BLAKE2b-256 cc3d69aa6cd0fbe8da3229f7e2f5616b4321aba1830f403767259578128f9cc6

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp310-cp310-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp310-cp310-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 326be7b0b2059880222bc4e2afb0092e16e12262adb7877b3cf3416dece2b1ce
MD5 aaed5160f57a8bb7bc037e1ba1d94026
BLAKE2b-256 973987e27b82807b1ac95e257d84540dd7eaef75f8f3a95faaa880dac3dde864

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 13799ea35b20f2919215a91baacf9bb37e17ed21d714607e08dac00d58a24c5a
MD5 43c8eadf5adb66f11f1eabd4926ea4f4
BLAKE2b-256 8c7027836507126ae423ad68e278ff83a636def25de452119112cb41c06bc89c

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 312c3f533f0f7e5cd706e27998c56751feea9c56a4e5d0a2dd2ada5fe802ba5a
MD5 29d900ea86da2ce4481fc39a5ca55210
BLAKE2b-256 a9c04e80905c42764d44e5f48af3646968b4fa353b36b3a20709bcbe4d535d88

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 6103b43d0833016c38b260fc60b6dfe0be8a3ecc6290d1b59cfe2a2df4eece5f
MD5 b755f53018b0ba6711ae4bdc49cebea8
BLAKE2b-256 b5df10f0c360f1fda0d7913302b727dd267cbb00b1785f56623fc66a913e8a77

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp310-cp310-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp310-cp310-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 e4a0f0700caffc8bc7b5b0b6ad132bd5287715651413841283d2fa1c71f91eb2
MD5 1380070e159facb32e1a73c7978811e5
BLAKE2b-256 ac6ad7c3b3923c7ef05e85dad483aac23a4da18038374180c97e07737d19a617

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: tvb_kernels-0.5-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 44.1 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for tvb_kernels-0.5-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 c4d81cb387a44ecb202be9ca1baaae35ff66738a433908e0d66ea83215c9a9ee
MD5 c283a4e0cfce5517d519a359c1df6400
BLAKE2b-256 51d81fa61b8fdeb7ac574840bbd646354640e792ae26d5d144b4a27051d8cb65

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp39-cp39-win32.whl.

File metadata

  • Download URL: tvb_kernels-0.5-cp39-cp39-win32.whl
  • Upload date:
  • Size: 39.1 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for tvb_kernels-0.5-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 e0eb5e7e34782964996727998a9260b3460c06fe84bc51f915478e2b506b11d5
MD5 9361f4c4b8562f757709bc9c261bc8cb
BLAKE2b-256 5f3b0c2cfd423b3193b77b2ba3ebec6d2d342dc75f7c46ade905cc6a3fefd09c

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp39-cp39-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp39-cp39-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 f957ea61551f5f4fa2ffa548ae4acde18e1621e10f43a59649cfa638b6f4ea00
MD5 7e96608f84e581bb11fbbb10b8813846
BLAKE2b-256 e254fa58d2cd011369286c3cfa43305bb8de09ef07c8f243b2434505b894a76f

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp39-cp39-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp39-cp39-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 cdab3947c1ee55efedc9388c580ea6231bbdb3cb20670aa0402becba800ac87c
MD5 b4b72556d43ff9936df3478d78254a09
BLAKE2b-256 b5964641975ff397b0c3ee65c416d6d72c0120d93669b92290fe7f7dcab0c8fd

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c86dc72526b2f295596c048ce5e0d5e25d2ac175ef01523193176f6dec33655c
MD5 6265e8fabc5f17459f8df27d34c3b031
BLAKE2b-256 054d2bcee60247b9d579a85559887cd8de864d625c8cf3c0ad1e3803cd4c9e8a

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 1bf396145354f41f9df6214e05ef0416aa8d0d60c570b8b37c5c5675361d674b
MD5 8d344256574aa370d6cff47f4c92fae3
BLAKE2b-256 a6d01a043f65fcc4bebc45f51265b2bf388cf9ac0062ced2571a48262c7c46b6

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 0893e0f2296497b09a12372bd2d5c803d6f09d062d32de86d5b624bcab109557
MD5 54a59052db1e57c538eb623d9eae7fd4
BLAKE2b-256 1cbd8ae17711820aed8dcc590fed8bc7aa8bf5a043e42a780698ec48ff683ce4

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp39-cp39-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp39-cp39-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 0d6b949715d9c3ee252d72682e87142f1a8c4a9fab7fc9b2d792081d952baa7d
MD5 edd1055109b8c58b4cce7e3e59944fa4
BLAKE2b-256 9e3c2427a3bdeccda040c310601e5901f36cb5c6aaf16ee1e671a0aa61156b0c

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tvb_kernels-0.5-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 44.0 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for tvb_kernels-0.5-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 bfdbff9dc53a5daf9aee75f6b4bd051ee8adb01fb23fb706ae4eabb62cac2cb6
MD5 27e517d92c0f12d39a141a89c6e58ffa
BLAKE2b-256 6e66d82e1050e7f2d69b78ec8f1c6cd9eeda521c53e9208351f3de72286c36dd

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp38-cp38-win32.whl.

File metadata

  • Download URL: tvb_kernels-0.5-cp38-cp38-win32.whl
  • Upload date:
  • Size: 38.9 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for tvb_kernels-0.5-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 685f42a9b0d40c94d671e079e6480feee2060f232aa12b3c7ee5ec0d6633343a
MD5 f675f788016aadf98709dd1a226a54d1
BLAKE2b-256 dfa1e59a66c92cf8798d321844b449ef62607e476329be93a2c1ee4eb66e23a0

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp38-cp38-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp38-cp38-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 9b14908501b979045bc929c371ceb44e2b311e7a43b0b127acac043335cf72df
MD5 6f7d3f426c11fb809fbf431d3e042e4d
BLAKE2b-256 aeb9ae48eafc5001d1090f85fd961ecd64d937ac852f36b9f20592d468158d7a

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp38-cp38-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp38-cp38-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 11f7f0eaac64d7ef5f21d5ad0c6510bcf0ef2a0ff626ea7db52b320be9198111
MD5 5643e28f6f7d683d86d6123b04619855
BLAKE2b-256 558588f1f81360354a878427e73a085667195f471a47e092ea8241a2dca19f6c

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 59363c03bb7515510d63ff83b6b641f9e4d562eee644d61bad4b6121f1e61e27
MD5 2a9dc31e0f29ca3fc8a61f7ff76492fb
BLAKE2b-256 5bf49299e333cd2a7d0fee00ac8a11faeb21f4c517e5169f5f611b4840a3289f

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 6b9dfede81dbcd1ba143afc96e8da02cbf5fb754cf3a51c3cd25f19196faaae6
MD5 517cc91bbd0a23f8529427b34260585d
BLAKE2b-256 fafb31721ea95ccf5a6a8f2918805524a8a5720819c39100104f6dedec61c027

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 9f003786599bd2e1d26684c1d6207dd735b41974cf0b61a80d066a891ee01ff9
MD5 f0c20381c90cb0cbf15043cd3d581e9f
BLAKE2b-256 ad8173f4b33961fb5bd19a5e23febcc1cfd8f5eb7857df7cfc7a27164fd03dac

See more details on using hashes here.

File details

Details for the file tvb_kernels-0.5-cp38-cp38-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for tvb_kernels-0.5-cp38-cp38-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 e162b5641ed993e149123303392ef39934107c1dc8d8793da656e1a5cd76c882
MD5 62ede9d798b88f5288ebc8a3d050df16
BLAKE2b-256 bb7958d4063871895fd68ec723644b6b1f68478d3c53519f04a6c39bb7aa9fa9

See more details on using hashes here.

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