Skip to main content

Read and write large, multi-dimensional arrays

Project description

TensorStore

Library for reading and writing large multi-dimensional arrays.

License PyPI Build Docs

Documentation and installation instructions are at https://google.github.io/tensorstore.

This is not an officially supported Google product.

License

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this software except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0.

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

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

tensorstore-0.1.22.tar.gz (2.4 MB view details)

Uploaded Source

Built Distributions

tensorstore-0.1.22-cp310-cp310-win_amd64.whl (5.9 MB view details)

Uploaded CPython 3.10 Windows x86-64

tensorstore-0.1.22-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

tensorstore-0.1.22-cp310-cp310-macosx_11_0_arm64.whl (6.8 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

tensorstore-0.1.22-cp310-cp310-macosx_10_14_x86_64.whl (8.3 MB view details)

Uploaded CPython 3.10 macOS 10.14+ x86-64

tensorstore-0.1.22-cp39-cp39-win_amd64.whl (5.9 MB view details)

Uploaded CPython 3.9 Windows x86-64

tensorstore-0.1.22-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

tensorstore-0.1.22-cp39-cp39-macosx_11_0_arm64.whl (6.8 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

tensorstore-0.1.22-cp39-cp39-macosx_10_14_x86_64.whl (8.3 MB view details)

Uploaded CPython 3.9 macOS 10.14+ x86-64

tensorstore-0.1.22-cp38-cp38-win_amd64.whl (5.9 MB view details)

Uploaded CPython 3.8 Windows x86-64

tensorstore-0.1.22-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.5 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

tensorstore-0.1.22-cp38-cp38-macosx_11_0_arm64.whl (6.8 MB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

tensorstore-0.1.22-cp38-cp38-macosx_10_14_x86_64.whl (8.3 MB view details)

Uploaded CPython 3.8 macOS 10.14+ x86-64

tensorstore-0.1.22-cp37-cp37m-win_amd64.whl (6.0 MB view details)

Uploaded CPython 3.7m Windows x86-64

tensorstore-0.1.22-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.5 MB view details)

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

tensorstore-0.1.22-cp37-cp37m-macosx_10_14_x86_64.whl (8.3 MB view details)

Uploaded CPython 3.7m macOS 10.14+ x86-64

File details

Details for the file tensorstore-0.1.22.tar.gz.

File metadata

  • Download URL: tensorstore-0.1.22.tar.gz
  • Upload date:
  • Size: 2.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.13

File hashes

Hashes for tensorstore-0.1.22.tar.gz
Algorithm Hash digest
SHA256 a90ab2b40b635ed4e15a1f9af9d34b7901e5c58506c5d50e80aebd6850d0b700
MD5 3dda9f66c97685e9c8708d397ce31e88
BLAKE2b-256 26f2bb77a84b44a527505d939579b8c406c296ca14376a08a5d30a98f0aa7cb7

See more details on using hashes here.

Provenance

File details

Details for the file tensorstore-0.1.22-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tensorstore-0.1.22-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 989df52fa518af4bcdf0a46599eb7dc98fbc19897912d665208de6941e8f5283
MD5 b2786630c44deda23c0910f888882a17
BLAKE2b-256 4c689bd4395ba04e0743ccc502a3c749201a8523a50d103ad28efbef1935f0d7

See more details on using hashes here.

Provenance

File details

Details for the file tensorstore-0.1.22-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorstore-0.1.22-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 57cbf4c7dc0ab05bfa3bc0ab42bba918d486eb0292ac73528fac982b1ad8bba8
MD5 87592f2ca00b9374ade0ca3653da43e8
BLAKE2b-256 0f21c296cc59be3fb5c38975490fa56d1befcdf162327ccff4918818a57f78e4

See more details on using hashes here.

Provenance

File details

Details for the file tensorstore-0.1.22-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tensorstore-0.1.22-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 fdb7d9fab6146154f07c6c9a4a5f7ac6b4f653f0ec4ab725014f0371680ecd28
MD5 14262e771069f9d9736df0db8c1ac22c
BLAKE2b-256 ef9fea5d5a7ea69b97a349ff79fca3a22375c020ad7cece47b45962789b4f32e

See more details on using hashes here.

Provenance

File details

Details for the file tensorstore-0.1.22-cp310-cp310-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for tensorstore-0.1.22-cp310-cp310-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 4fe51095fffa989a6537dc538e906a8753d6a5faeb38a1f0f22b43fd7c91e5b3
MD5 145a9a3ff5cbbe8b821f2f65378bafa6
BLAKE2b-256 7ed24bd8157d5ecfdbd7cb7382c72541bc99d64eb8059f89e92a144386ec067f

See more details on using hashes here.

Provenance

File details

Details for the file tensorstore-0.1.22-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for tensorstore-0.1.22-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 0fd94082583c3f43178e7c1f3d9a08854a6625fb6915c2b67f997c46941c6735
MD5 7ae6350e9de12229bc2d30a8ee595858
BLAKE2b-256 cd5c6c58bccabd348c6d9e2839cac8bf03e3694378a32b7f80f82c29537e40cf

See more details on using hashes here.

Provenance

File details

Details for the file tensorstore-0.1.22-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorstore-0.1.22-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 74a0649ac6f9c112671634cfbfa9fc4cd3d6aa93532fb54de963896e313619d0
MD5 d23b63af2ce104437490ec7df16c61cd
BLAKE2b-256 b5d1457e84a6580231eac7d7ccc66c8a3cec88b9e40c16f0ee615914c6ef41d2

See more details on using hashes here.

Provenance

File details

Details for the file tensorstore-0.1.22-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tensorstore-0.1.22-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 61671279caef19c1e16480d49e75c13231f233ff426eff94d60bb702b624a553
MD5 6d7aac3bf5fc6fbd4ef9dbf9f6338988
BLAKE2b-256 22046600fd069e7c40ee49f804fcad1ecb7c537937123865b036106baeee46e3

See more details on using hashes here.

Provenance

File details

Details for the file tensorstore-0.1.22-cp39-cp39-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for tensorstore-0.1.22-cp39-cp39-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 03cc6c207fd16cc9fb0b61c0e96e7111eacf6af43cca36e6c223163a15b03342
MD5 ecfd1b89964debe839938165e4e76a74
BLAKE2b-256 ba7a906278da4fe3d90b6643624d3660dcf402c93387d89e9a3b05b195459a56

See more details on using hashes here.

Provenance

File details

Details for the file tensorstore-0.1.22-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for tensorstore-0.1.22-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 fd79a7cf4e9e06db641a5a94793fa7104b329a8b6421207cdc4876893059ad2a
MD5 a221e8f20890925a0cf0ad1bb603ca66
BLAKE2b-256 7f3dfeb8a5192d2ac10d6536508c06b2e08ac5346362f06c7a096d7ea9c679b9

See more details on using hashes here.

Provenance

File details

Details for the file tensorstore-0.1.22-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorstore-0.1.22-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2ee9d58c3c9d60da8310c2f8256ee2f890ea7915fb2a1030f4fa4b189323756f
MD5 ec0a347ff515661bd94bd62e82875859
BLAKE2b-256 69ad39e058889c409d1ed37c6e17ff94643d3b81505c3c93b93905bd595e0b22

See more details on using hashes here.

Provenance

File details

Details for the file tensorstore-0.1.22-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tensorstore-0.1.22-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 fe780c1053607c360dea29f3284c0d0a317c4fb5f86f9de79f4d3ed4e41e4c93
MD5 04614b913741d3543c0a670bbc85999b
BLAKE2b-256 d383320014766cc74ec7ca2b427adc52745bd73db89125a0a8da970c95488af4

See more details on using hashes here.

Provenance

File details

Details for the file tensorstore-0.1.22-cp38-cp38-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for tensorstore-0.1.22-cp38-cp38-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 0264aecebe57bfa9435e4b0775e244395b0f08cbd5c57f0e32bcf001371110dc
MD5 79040627f7a865ee6a4af079e0c80972
BLAKE2b-256 74d27d884d0ed88b249ece12b78f5457f7b3090701361e4df8c683d2a6939288

See more details on using hashes here.

Provenance

File details

Details for the file tensorstore-0.1.22-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for tensorstore-0.1.22-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 cac3a1f663acfccf242bd96a9b7a19a3252d7fb31a3501839058b119aa7fb32c
MD5 5a7f12f9510bb7acd2d095ffad188ea3
BLAKE2b-256 45e2469311185cfd6bf13932260c83d7c8d7dbd8f33fbec05e8c0f1f4085846b

See more details on using hashes here.

Provenance

File details

Details for the file tensorstore-0.1.22-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorstore-0.1.22-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f39ff46682236f36349f636fd16a76a288137f5f87b88b74d41f466945ddfe5b
MD5 5ee70d9f562056638e178eb09ac5de28
BLAKE2b-256 6ff5523515a9c50e275c109bc351b1fbd1484291d57e1e7a07524b42d6648f1f

See more details on using hashes here.

Provenance

File details

Details for the file tensorstore-0.1.22-cp37-cp37m-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for tensorstore-0.1.22-cp37-cp37m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 cd9bc6fbcffb904c137642e057672623d58982ed52a0c1777b007a3aaf62f1a2
MD5 43efcfda9dd74d7f3189aadc860a795e
BLAKE2b-256 fe94bd7ae2d19735658b9a9e307f092c5caa9e6ad2efc6cc9b1380ada3b1feca

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