Tree is a library for working with nested data structures.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for deepmind from gravatar.com deepmind Avatar for tree-copybara from gravatar.com tree-copybara

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache 2.0)
  • Author: DeepMind
  • Tags tree, nest, flatten
Classifiers

Project description

Tree

tree is a library for working with nested data structures. In a way, tree generalizes the builtin map function which only supports flat sequences, and allows to apply a function to each "leaf" preserving the overall structure.

>>> import tree
>>> structure = [[1], [[[2, 3]]], [4]]
>>> tree.flatten(structure)
[1, 2, 3, 4]
>>> tree.map_structure(lambda v: v**2, structure)
[[1], [[[4, 9]]], [16]]

tree is backed by an optimized C++ implementation suitable for use in demanding applications, such as machine learning models.

Installation

From PyPI:

$ pip install dm-tree

Directly from github using pip:

$ pip install git+git://github.com/deepmind/tree.git

Build from source:

$ python setup.py install

Support

If you are having issues, please let us know by filing an issue on our issue tracker.

License

The project is licensed under the Apache 2.0 license.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for deepmind from gravatar.com deepmind Avatar for tree-copybara from gravatar.com tree-copybara

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache 2.0)
  • Author: DeepMind
  • Tags tree, nest, flatten
Classifiers

Release history Release notifications | RSS feed

This version

0.1.8

0.1.7

0.1.6

0.1.5

0.1.4

0.1.2

0.1.1

0.1.0

Download files

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

Source Distribution

dm-tree-0.1.8.tar.gz (35.4 kB view details)

Uploaded Source

Built Distributions

dm_tree-0.1.8-cp312-cp312-win_amd64.whl (101.8 kB view details)

Uploaded CPython 3.12 Windows x86-64

dm_tree-0.1.8-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (152.8 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

dm_tree-0.1.8-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl (175.1 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ i686

dm_tree-0.1.8-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (146.8 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

dm_tree-0.1.8-cp312-cp312-macosx_11_0_arm64.whl (111.4 kB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

dm_tree-0.1.8-cp312-cp312-macosx_10_9_x86_64.whl (116.5 kB view details)

Uploaded CPython 3.12 macOS 10.9+ x86-64

dm_tree-0.1.8-cp312-cp312-macosx_10_9_universal2.whl (169.5 kB view details)

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

dm_tree-0.1.8-cp311-cp311-win_amd64.whl (101.3 kB view details)

Uploaded CPython 3.11 Windows x86-64

dm_tree-0.1.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (152.8 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

dm_tree-0.1.8-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl (150.3 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ s390x

dm_tree-0.1.8-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (174.7 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686

dm_tree-0.1.8-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (146.7 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

dm_tree-0.1.8-cp311-cp311-macosx_11_0_arm64.whl (110.7 kB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

dm_tree-0.1.8-cp311-cp311-macosx_10_9_x86_64.whl (115.4 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

dm_tree-0.1.8-cp311-cp311-macosx_10_9_universal2.whl (167.6 kB view details)

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

dm_tree-0.1.8-cp310-cp310-win_amd64.whl (101.3 kB view details)

Uploaded CPython 3.10 Windows x86-64

dm_tree-0.1.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (152.8 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

dm_tree-0.1.8-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl (150.4 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ s390x

dm_tree-0.1.8-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (174.7 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

dm_tree-0.1.8-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (146.7 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

dm_tree-0.1.8-cp310-cp310-macosx_11_0_arm64.whl (110.7 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

dm_tree-0.1.8-cp310-cp310-macosx_10_9_x86_64.whl (115.4 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

dm_tree-0.1.8-cp310-cp310-macosx_10_9_universal2.whl (167.6 kB view details)

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

dm_tree-0.1.8-cp39-cp39-win_amd64.whl (101.5 kB view details)

Uploaded CPython 3.9 Windows x86-64

dm_tree-0.1.8-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (153.0 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

dm_tree-0.1.8-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl (150.5 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ s390x

dm_tree-0.1.8-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (174.9 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

dm_tree-0.1.8-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (146.8 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

dm_tree-0.1.8-cp39-cp39-macosx_11_0_arm64.whl (110.8 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

dm_tree-0.1.8-cp39-cp39-macosx_10_9_x86_64.whl (115.4 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

dm_tree-0.1.8-cp39-cp39-macosx_10_9_universal2.whl (167.8 kB view details)

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

dm_tree-0.1.8-cp38-cp38-win_amd64.whl (101.4 kB view details)

Uploaded CPython 3.8 Windows x86-64

dm_tree-0.1.8-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (152.9 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

dm_tree-0.1.8-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl (150.6 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ s390x

dm_tree-0.1.8-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (174.6 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

dm_tree-0.1.8-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (146.9 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

dm_tree-0.1.8-cp38-cp38-macosx_11_0_arm64.whl (110.7 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

dm_tree-0.1.8-cp38-cp38-macosx_10_9_x86_64.whl (115.4 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

dm_tree-0.1.8-cp38-cp38-macosx_10_9_universal2.whl (167.8 kB view details)

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

dm_tree-0.1.8-cp37-cp37m-win_amd64.whl (102.1 kB view details)

Uploaded CPython 3.7m Windows x86-64

dm_tree-0.1.8-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (153.8 kB view details)

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

dm_tree-0.1.8-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl (151.4 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ s390x

dm_tree-0.1.8-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (176.7 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686

dm_tree-0.1.8-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (148.3 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

dm_tree-0.1.8-cp37-cp37m-macosx_10_9_x86_64.whl (115.2 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

File details

Details for the file dm-tree-0.1.8.tar.gz.

File metadata

  • Download URL: dm-tree-0.1.8.tar.gz
  • Upload date:
  • Size: 35.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.8

File hashes

Hashes for dm-tree-0.1.8.tar.gz
Algorithm Hash digest
SHA256 0fcaabbb14e7980377439e7140bd05552739ca5e515ecb3119f234acee4b9430
MD5 8b3f0b4de11eff132f08d6ab6ab22e74
BLAKE2b-256 f86df1997aac42e0f550c1e952a0b920eaa0bfc4d27d0421499881b934b969fc

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: dm_tree-0.1.8-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 101.8 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for dm_tree-0.1.8-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 96a548a406a6fb15fe58f6a30a57ff2f2aafbf25f05afab00c8f5e5977b6c715
MD5 45dfa89b65490b68d1ab5813fc983afa
BLAKE2b-256 ade396f5267fe5a47c882dce7f3d06b26ddd756681fc4fbedd55d51b78b08bca

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c0a94aba18a35457a1b5cd716fd7b46c5dafdc4cf7869b4bae665b91c4682a8e
MD5 57fe4c44fc3792e5b6cc03ab58c52ebf
BLAKE2b-256 c9d48cbb857612ca69763ee4f4f97c7b91659df1d373d62237cb9c772e55ae97

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 75c5d528bb992981c20793b6b453e91560784215dffb8a5440ba999753c14ceb
MD5 f28e8c4f80691f15b0ef41f375e2a1fe
BLAKE2b-256 c4120a8c2152655ca39c1059c762ea1dc12784166c735126eb0ab929c518ef4e

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 09964470f76a5201aff2e8f9b26842976de7889300676f927930f6285e256760
MD5 5939a2f3fa49220ba23080300925310c
BLAKE2b-256 4ada3d3d04f7a572f7649f48edc9402ff5836e2f90e18445ffde110fd6142889

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 435227cf3c5dc63f4de054cf3d00183790bd9ead4c3623138c74dde7f67f521b
MD5 afea3c4c4a893137c864e1cebd9c5a14
BLAKE2b-256 10105f9eed00b1186921e447960443f03cda6374cba8cd5cf7aff2b42ecb8a0e

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp312-cp312-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp312-cp312-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 94d3f0826311f45ee19b75f5b48c99466e4218a0489e81c0f0167bda50cacf22
MD5 d00842851095c2b9b308ad8166c7941a
BLAKE2b-256 17af4030827253a5d50eb8da6f7189bc33d3c850c4109cf3414910e9af677cb7

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp312-cp312-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp312-cp312-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 ea9e59e0451e7d29aece402d9f908f2e2a80922bcde2ebfd5dcb07750fcbfee8
MD5 7212db26cd583b33f34bdfeebb383f7f
BLAKE2b-256 722ce33dfc96f974ae3cba82c9836371c93fcb4d59d5a82ebb853861618a0b0b

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: dm_tree-0.1.8-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 101.3 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.8

File hashes

Hashes for dm_tree-0.1.8-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 a5d819c38c03f0bb5b3b3703c60e4b170355a0fc6b5819325bf3d4ceb3ae7e80
MD5 ac775aa9886fbbc68cdae62ba7b69faf
BLAKE2b-256 e4c1522041457444b67125ac9527208bb3148f63d7dce0a86ffa589ec763a10e

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 83b7764de0d855338abefc6e3ee9fe40d301668310aa3baea3f778ff051f4393
MD5 1b93e40fe1a1c35040bff8d79de97698
BLAKE2b-256 4a27c5e3580a952a07e5a1428ae952874796870dc8db789f3d774e886160a9f4

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 fa42a605d099ee7d41ba2b5fb75e21423951fd26e5d50583a00471238fb3021d
MD5 499c79e1b0bcb948b0bd9c9dc2679561
BLAKE2b-256 130d09a4ecb54c03db53d9eb5bbc81609d89de26e3762743f003282c1b48debb

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 343a4a4ebaa127451ff971254a4be4084eb4bdc0b2513c32b46f6f728fd03f9e
MD5 5f26ce700672840b4d4ed2094f43f457
BLAKE2b-256 a3e7b0c04ea5af82c19fd5984bfe980f4012601c4708634c7c51a952b17c93b2

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 1607ce49aa42f010d1e5e616d92ce899d66835d4d8bea49679582435285515de
MD5 ad09c0d0585bff17903b07c55a379bbe
BLAKE2b-256 fe89386332bbd7567c4ccc13aa2e58f733237503fc75fb389955d3b06b9fb967

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 378cc8ad93c5fe3590f405a309980721f021c790ca1bdf9b15bb1d59daec57f5
MD5 69eb5909341bb7402f7bb607fbd6eba6
BLAKE2b-256 08e24c29cb9876456517f21979ddcbb6048f28a3b52c61aa9d14d42adafcdca4

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 803bfc53b4659f447ac694dbd04235f94a73ef7c1fd1e0df7c84ac41e0bc963b
MD5 d174abf5cbe6eaca733ca0aff755a4e1
BLAKE2b-256 b1654f10a68dde5fa0c91043c9c899e9bc79b1657ba932d39a5f8525c0058e68

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 ad16ceba90a56ec47cf45b21856d14962ac314787975ef786efb5e6e9ca75ec7
MD5 6e850b2dd080343f58602d7613d5e5f4
BLAKE2b-256 e264901b324804793743f0fdc9e47db893bf0ded9e074850fab2440af330fe83

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: dm_tree-0.1.8-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 101.3 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.8

File hashes

Hashes for dm_tree-0.1.8-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 d40fa4106ca6edc66760246a08f500ec0c85ef55c762fb4a363f6ee739ba02ee
MD5 6e59937c9bd7e3b5eb38566020c2e692
BLAKE2b-256 f05d86eb4e071ff395fed0783076e94c56ad9a97ba7b6e49b5aaf1b651a4fcd3

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e4d714371bb08839e4e5e29024fc95832d9affe129825ef38836b143028bd144
MD5 b6fe13e107fe66701dda3f95bc68dde8
BLAKE2b-256 cc2ba13e3a44f9121ecab0057af462baeb64dc50eb269de52648db8823bc12ae

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 1d7c26e431fc93cc7e0cba867eb000db6a05f6f2b25af11ac4e9dada88fc5bca
MD5 45437b2543aeea710478a39d8cd3d474
BLAKE2b-256 3e9e20bdcf1953949d8aa1e614f5c6cc1f9b556d4d72e0731e5aa1d353423bb1

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 5483dca4d7eb1a0d65fe86d3b6a53ae717face83c1f17e0887b1a4a64ae5c410
MD5 2f38e464ab64dc2c3f021d4bb99bb05b
BLAKE2b-256 ea798f65fee71f3cf8bd993031578425fb10f42840b5d9a7298da0c1d52281f7

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d20f2faa3672b52e5013f4077117bfb99c4cfc0b445d3bde1584c34032b57436
MD5 e883b96e0e44d51e4bbe0d1e9eba92ed
BLAKE2b-256 4c4b046c634913643333b1cf8f0dedd45683278013c0fb187fe36915b233ac7b

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 2869228d9c619074de501a3c10dc7f07c75422f8fab36ecdcb859b6f1b1ec3ef
MD5 a618706ee6ce9304e09c3c0d437afc92
BLAKE2b-256 abb08bf47b99c302a01db55ec43645663a385b8d3dfeb94b5fe6adf03b1121dc

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 39070ba268c0491af9fe7a58644d99e8b4f2cde6e5884ba3380bddc84ed43d5f
MD5 66665a3e69170dab458abc796e906775
BLAKE2b-256 6329b7c77a2500742ebbc956c2e6c9c215abeb4348040ddda72a61c760999d64

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 35cc164a79336bfcfafb47e5f297898359123bbd3330c1967f0c4994f9cf9f60
MD5 13afdee36024f37c2d7f7f83ce04ba06
BLAKE2b-256 be3bd5ef06ee302ecea27351b18c28f2bde7ac982c774967d7bc82f7765fa0cb

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: dm_tree-0.1.8-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 101.5 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.8

File hashes

Hashes for dm_tree-0.1.8-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 8ed3564abed97c806db122c2d3e1a2b64c74a63debe9903aad795167cc301368
MD5 ea3e00c484aca70d2fc0c1c05948419b
BLAKE2b-256 2fca09200a958639f4e0a1b6bdb0b327c7eb65614b5a543cdb3c6fa5e386c062

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 181c35521d480d0365f39300542cb6cd7fd2b77351bb43d7acfda15aef63b317
MD5 eb4878e877feb7f9ccb0ccacb5e2eb3e
BLAKE2b-256 438ef2827985b559da76497a997193d2c1fee6217de6ca2921bca2d2ffd23aca

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 28c52cbf4f8b3dbd0beaedf44f69fa85eec5e9dede612e08035e06ada6ec9426
MD5 987edf95a71a9e6ea28f138d70d87395
BLAKE2b-256 0180bc11fe596b6be71211b154d45db2a3bbef4e1875957c3d757e6d4e35a839

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 1fe962015b2fe1282892b28ebe962faed53c7f98d942da9a4625cbf27baef913
MD5 21c5ca86208631f1ecd0d828b4e354f7
BLAKE2b-256 e9a24813bd9a41fa534e1f6378feabc0353d24915b4368fa4830bf9f137fdab2

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f7ac31b9aecccb2c6e1ab29706f6ded3eba0c2c69c770322c9c685929c3d6afb
MD5 c1926a6c41971bf3a242639ca02a544a
BLAKE2b-256 e4246e6c78756bdf0f01d33b5fa516e7bae086fce150c2ae8eb8d69f60e7efad

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 81fce77f22a302d7a5968aebdf4efafef4def7ce96528719a354e6990dcd49c7
MD5 366687571443d3bb19cb61cab80db252
BLAKE2b-256 35954fe46f881eacd1e1626686776dc1d61283bac45faf2068024d6bcf0c30e9

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 250b692fb75f45f02e2f58fbef9ab338904ef334b90557565621fa251df267cf
MD5 725ecbd58e33fa0b90628aa920365e06
BLAKE2b-256 d361a01a070b922050c4e86446dcd107810195c84c1c55b8f82539d8c46d12b3

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 d16e1f2a073604cfcc09f7131ae8d534674f43c3aef4c25742eae295bc60d04f
MD5 55a0149b57dd0df5a6bf294f643acd6a
BLAKE2b-256 8f7925f3038647896e112913ffb27c7b54837e8e4b16077f1d0020ca780ffcfa

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: dm_tree-0.1.8-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 101.4 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.8

File hashes

Hashes for dm_tree-0.1.8-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 bb2d109f42190225112da899b9f3d46d0d5f26aef501c61e43529fe9322530b5
MD5 f87cb5eb9e890646ab7b9cad9ced2bc3
BLAKE2b-256 f949d6a804ced56037bf51f08ef940006fc89459e56ba1d45bdf05d23c03e56d

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 694c3654cfd2a81552c08ec66bb5c4a3d48fa292b9a181880fb081c36c5b9134
MD5 3040b05ba7a30abcbd68678d1b68c95f
BLAKE2b-256 e303cd776c4f224aabe06225c3661f79e1114dbe337506ae9039575eb06cc568

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 c5c8c12e3fda754ef6af94161bacdaeda816d941995fac415d6855c6c386af68
MD5 7117032d0b9124e1927747891625385d
BLAKE2b-256 c8802d7d964d5b93960d6d31356091b153461d19c3354aef91572a5bbba4cbbf

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 d1612fcaecd79023dbc6a6ae48d51a80beb5c385d6f3f6d71688e57bc8d07de8
MD5 cad918772d63abde58a65301eeb04fe5
BLAKE2b-256 3e05a0cb542fea728cad927b29cf9b2e399cd4aab25002b658d3e108132a740f

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0d3172394079a86c3a759179c65f64c48d1a42b89495fcf38976d11cc3bb952c
MD5 4711aaa03f543594f573f0f68a19b1af
BLAKE2b-256 259bbb0a5dc5109ca688bf3d788b78ad5619a6f28279d380bb897b32341398ba

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 b9bd9b9ccb59409d33d51d84b7668010c04c2af7d4a371632874c1ca356cff3d
MD5 720f9ecf22d389a1c1f59ad81b6b8135
BLAKE2b-256 6d1f0eb8ea48aa2ab3648ffafc0792932507a03debe846e0b1207c3476ba1f1f

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b095ba4f8ca1ba19350fd53cf1f8f3eb0bd406aa28af64a6dfc86707b32a810a
MD5 c53f7ed3c4642fb0b1e8da041d4c7cf1
BLAKE2b-256 4acfb1c48dab0c55e3de025d2811d2cdc086ad2218f3dd3a01d2852c0f3c04bc

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp38-cp38-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp38-cp38-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 0e9620ccf06393eb6b613b5e366469304622d4ea96ae6540b28a33840e6c89cf
MD5 d2c51e8c32bb492358b0b4cd22da41b6
BLAKE2b-256 c59fa98873e555fc12aaf415151f2e092529d9fdf69b29d3c8d0676d41d69e31

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: dm_tree-0.1.8-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 102.1 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.8

File hashes

Hashes for dm_tree-0.1.8-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 b9f89a454e98806b44fe9d40ec9eee61f848388f7e79ac2371a55679bd5a3ac6
MD5 35b7e94b3270df34c0495b534f9d2a90
BLAKE2b-256 fa685474b81cbef0e6a0fc9f10e0e73bd02840c759a997de8ec61b1e04292d6f

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2f7915660f59c09068e428613c480150180df1060561fd0d1470684ae7007bd1
MD5 065493a9ee4d160c936484e14b9d6441
BLAKE2b-256 89421115cf34bb6cc5baba40e959382f8251012e97382a89801390679d79212f

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 054b461f8176f4bce7a21f7b1870f873a1ced3bdbe1282c816c550bb43c71fa6
MD5 6947eac3071e82fe37970c62ef141546
BLAKE2b-256 66f16e08952e21887d10f533b2f93c66dc28f3119c264f11640eef3dfb9602dc

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 de287fabc464b8734be251e46e06aa9aa1001f34198da2b6ce07bd197172b9cb
MD5 64a26b99dd484519cfb19bdbded3a7dd
BLAKE2b-256 138a2c319f42a819bf62f5a5127ca99f8c481d2894fe31f0551e92db5fa152e3

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 af4b3d372f2477dcd89a6e717e4a575ca35ccc20cc4454a8a4b6f8838a00672d
MD5 d318c0252e5a4933eaf7d7679449d472
BLAKE2b-256 e6789f520fbcd4a4de3762eb33de30d3f9baf4628d449f9faf6b3a488c47a66f

See more details on using hashes here.

File details

Details for the file dm_tree-0.1.8-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for dm_tree-0.1.8-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 8c60a7eadab64c2278861f56bca320b2720f163dca9d7558103c3b77f2416571
MD5 88744acdbc4ab03cd8894f22535c8dc1
BLAKE2b-256 92429021cb1f7cb7f83191bdcf2e3c949ab8fccc57696978677a35958b77a226

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