Skip to main content

A Interval Tree Library

Project description

iTree - an Interval Tree library

itree

In computer science, an interval tree is a tree data structure to hold intervals. Every node in itree has a start and an end value.

Installation

Install itree by running:

  pip install py-itree

Quick Start

  • Symbol For Node And Tree
  🟢  - normal node; 
  🔵  - zero interval node; 
  🍁  - leaf node, which means no child node
  🌳  - a tree
  • Create Some Nodes
  >>> import itree
  >>> itree.Node('fruit', 0, 40)
  [🍁 n=fruit,s=0.00,e=40.00,x=0,c=0]
  >>> itree.Node('fruit')
  [🔵 n=fruit]
  >>> a=itree.Node('fruit', 0, 200)
  >>> b=itree.Node('apple', 10, 20)
  >>> print(a)
  [🍁 n=fruit,s=0.00,e=40.00,x=0,c=0]
  >>> a.append(b)
  >>> print(a)
  [🟢 n=fruit,s=0.00,e=200.00,x=0,c=1]
  >>> print(b)
  [🍁 n=apple,s=10.00,e=20.00,x=0,c=0]
  >>> print(a.nodes)
  [[🍁 n=apple,s=10.00,e=20.00,x=0,c=0]]
  >>> 
  • Create And Render A Tree
  >>> from itree import Tree
  >>> def demo_tree():
        t = Tree(tid="123", extra={"img": "1241241313.png"})
        t.start("root", 1, {"name": "itree"})
        t.start("math", 2, {"age": 10})
        t.start("music", 3, {"location": [1, 2, 3]})
        t.end("music", 4, {"price": 12.3})
        t.end("math", 16284000, {"memory": (1, 2, 3)})
        t.start("music", 122840057.8713503)
        t.end("music", 1228400500)
        t.start("music", 32840057.8713503)
        t.start("egg", 3284.8713503)
        t.start("icecream", 32843.8713503)
        t.start("pizza", 32843.8713503)
        t.end("pizza", 62845003)
        t.end("icecream", 62845003)
        t.end("egg", 6284500)
        t.end("music", 628400500)
        t.start("piggy", 3284.8713503)
        t.start("unicorn", 32843.8713503)
        t.start("monkey", 32843.8713503)
        t.end("monkey", 62845003)
        t.end("unicorn", 62845003)
        t.end("piggy", 6284500)
        t.end("root", 1628400570.8713503)
        print(f"{t.count},{t.depth}")
        t.consolidate()
        img_path = t.to_img()
        return img_path, t
  >>> img_path, t = demo_tree()
  >>> t
  (🌳 id=123,c=11,x=1,d=6,m=0,o=1)

Run the demo_tree() function, a tree digraph will be generated:

demo_tree

The green circle node is a virtual node. The yellow record box is the node with the longest interval.

A virtual node is a conceptual node which could have many subnodes/subtrees.

vnode

Development

Turn on local build to ON in itree/CMakeLists.txt:

option(LOCAL_BUILD "build locally" OFF)
  • Test
$python -m unittest discover
...............
----------------------------------------------------------------------
Ran 15 tests in 1.209s

OK
  • Format
find itree -path itree/pybind11 -prune -o -iname *.h -o -iname *.cpp | xargs clang-format -i
black -S . --exclude '(\.history|\.vscode|\.git|\.VSCodeCounter|venv|workspace|pybind11)'
  • Build
rm -fr itree/build/ && ./release.sh && yes | cp itree/build/_itree.* itree/
pip install --editable .

License

Tree is licensed under the Apache 2.0 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 Distributions

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

Built Distributions

py_itree-0.0.16-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (238.5 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

py_itree-0.0.16-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (252.7 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

py_itree-0.0.16-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (222.8 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

py_itree-0.0.16-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (190.1 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

py_itree-0.0.16-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (239.2 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

py_itree-0.0.16-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (252.6 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

py_itree-0.0.16-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (223.6 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

py_itree-0.0.16-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (190.2 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

py_itree-0.0.16-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (239.1 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

py_itree-0.0.16-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (253.1 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

py_itree-0.0.16-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (223.6 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

py_itree-0.0.16-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (190.1 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

py_itree-0.0.16-cp311-cp311-musllinux_1_1_x86_64.whl (752.2 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

py_itree-0.0.16-cp311-cp311-musllinux_1_1_i686.whl (819.7 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ i686

py_itree-0.0.16-cp311-cp311-musllinux_1_1_aarch64.whl (728.2 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ ARM64

py_itree-0.0.16-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (242.1 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

py_itree-0.0.16-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (255.7 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686

py_itree-0.0.16-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (226.9 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

py_itree-0.0.16-cp311-cp311-macosx_11_0_arm64.whl (192.9 kB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

py_itree-0.0.16-cp311-cp311-macosx_10_9_x86_64.whl (192.9 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

py_itree-0.0.16-cp311-cp311-macosx_10_9_universal2.whl (192.9 kB view details)

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

py_itree-0.0.16-cp310-cp310-musllinux_1_1_x86_64.whl (752.3 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

py_itree-0.0.16-cp310-cp310-musllinux_1_1_i686.whl (819.9 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ i686

py_itree-0.0.16-cp310-cp310-musllinux_1_1_aarch64.whl (727.6 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ ARM64

py_itree-0.0.16-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (242.5 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

py_itree-0.0.16-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (255.9 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

py_itree-0.0.16-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (227.2 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

py_itree-0.0.16-cp310-cp310-macosx_11_0_arm64.whl (192.6 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

py_itree-0.0.16-cp310-cp310-macosx_10_9_x86_64.whl (192.6 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

py_itree-0.0.16-cp310-cp310-macosx_10_9_universal2.whl (192.6 kB view details)

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

py_itree-0.0.16-cp39-cp39-musllinux_1_1_x86_64.whl (752.6 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

py_itree-0.0.16-cp39-cp39-musllinux_1_1_i686.whl (819.8 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ i686

py_itree-0.0.16-cp39-cp39-musllinux_1_1_aarch64.whl (728.1 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ ARM64

py_itree-0.0.16-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (242.6 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

py_itree-0.0.16-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (256.1 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

py_itree-0.0.16-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (227.4 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

py_itree-0.0.16-cp39-cp39-macosx_11_0_arm64.whl (192.7 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

py_itree-0.0.16-cp39-cp39-macosx_10_9_x86_64.whl (192.7 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

py_itree-0.0.16-cp39-cp39-macosx_10_9_universal2.whl (192.7 kB view details)

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

py_itree-0.0.16-cp38-cp38-musllinux_1_1_x86_64.whl (752.0 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

py_itree-0.0.16-cp38-cp38-musllinux_1_1_i686.whl (819.6 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ i686

py_itree-0.0.16-cp38-cp38-musllinux_1_1_aarch64.whl (727.6 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ ARM64

py_itree-0.0.16-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (242.2 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

py_itree-0.0.16-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (255.7 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

py_itree-0.0.16-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (226.9 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

py_itree-0.0.16-cp38-cp38-macosx_11_0_arm64.whl (192.6 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

py_itree-0.0.16-cp38-cp38-macosx_10_9_x86_64.whl (192.6 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

py_itree-0.0.16-cp38-cp38-macosx_10_9_universal2.whl (192.6 kB view details)

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

py_itree-0.0.16-cp37-cp37m-musllinux_1_1_x86_64.whl (756.8 kB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ x86-64

py_itree-0.0.16-cp37-cp37m-musllinux_1_1_i686.whl (824.1 kB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ i686

py_itree-0.0.16-cp37-cp37m-musllinux_1_1_aarch64.whl (734.6 kB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ ARM64

py_itree-0.0.16-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (244.9 kB view details)

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

py_itree-0.0.16-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (260.9 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686

py_itree-0.0.16-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (229.6 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

py_itree-0.0.16-cp37-cp37m-macosx_10_9_x86_64.whl (189.9 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

py_itree-0.0.16-cp36-cp36m-musllinux_1_1_x86_64.whl (756.8 kB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ x86-64

py_itree-0.0.16-cp36-cp36m-musllinux_1_1_i686.whl (824.9 kB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ i686

py_itree-0.0.16-cp36-cp36m-musllinux_1_1_aarch64.whl (734.4 kB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ ARM64

py_itree-0.0.16-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (245.0 kB view details)

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

py_itree-0.0.16-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl (260.6 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ i686

py_itree-0.0.16-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (230.2 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ ARM64

py_itree-0.0.16-cp36-cp36m-macosx_10_9_x86_64.whl (189.8 kB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file py_itree-0.0.16-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 caf78d82c75e092b7b3636573407df9b9cccee18065a6fe88e1bb55fa5fcbe84
MD5 bebe8da5d5e93abcddad3cf82b9a2844
BLAKE2b-256 8e8a79ad42ab5397a9aada8f36e30f84c18c9d87ca8e0cb5e6a06e3de1eddad2

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 19110c1055972fadf3e50d533c541a1c228dbd6dae6d3f1bfa28da9e4efc8723
MD5 02802c20e23636ade69245c77e8fd88f
BLAKE2b-256 76196565d7bbdc247ccf66a13e2c0200eb38139360a2d773c52766b5edf4404d

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 1311ee61632f99832ea8db5174c2a5b9f0366fea1ba54f892436038bafe7bb61
MD5 77084d829505d97c375f25011cca5d2d
BLAKE2b-256 612518840bfb7376dbd25617311cccadc719ea03da849d7f63da1d50690d3bd0

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-pp39-pypy39_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 03cf357754b3863d079d98527e12c4423858abd07d7177226bdbe6b856407059
MD5 992efb8366fdc39a661c3d39e93fdc20
BLAKE2b-256 04325a19b519fd3d6130729ad1a4a1719ceff8a629900ec544d76efd1336a70a

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b8b48ca50d8c6a62279410eeb0d1021d2254dccf37665262c43e3d165d518f32
MD5 fb57685a92a379e534737b9605e2512c
BLAKE2b-256 201c9cf464d5593b028591cd36a479d7d7c76ef7dcaaeb4c0b5cf599cc631cfe

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 32c79797d1a2f611166772b43871f6ed09111b959be3a6fb857fbe7c5329d267
MD5 425945fc0e6acfe26e802a13cccc6264
BLAKE2b-256 66e584bd3f0ced995b15acb7e01d5b5602cb804b7b838e208f6a9bb2039aad89

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 b71b276cc2d251647767cee72e9f3bdbbc6f410573f9ca7b7b57baeccb8b29c2
MD5 ea4f38ccecd5996bb70a6feb762468fc
BLAKE2b-256 c65d419032e3ad607ccf856f1f898ede399a64f1e427e7508f97f93aaa6bf548

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-pp38-pypy38_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 2eb0f67674fbcfe0d9d67f020319d226e932ce0329fc36633f57bf7a24e4a797
MD5 bc1c64c2f82c323cc3de1b9e2b52a670
BLAKE2b-256 06e9e7f02ce8729db5e462f3516a08e077d40338fe13e56446024693691525c5

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2b57029097666b0af3ca17630a546955452f7277d6f625cd28c0858f52d425ce
MD5 e098ea9c5ccb37cea4368aeb157a28fe
BLAKE2b-256 64c3b60fa1d12a7574e0d78e1879e486dd9fd7113f5b691c84756c146a22ca58

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 4ca32c3fe4f4b83381eeffe1c4f80801c930711c99b47140ba5284d2629ab9b1
MD5 3ef1cfc1ae2893643c8cd31ac3dc5f2e
BLAKE2b-256 5613196550b2c6a2febd4ae02537a222c138c10103feb19d4ae40299c8801b2b

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f3d7d8870544cfffa6fef3bb61640d268c883a982ae57fe9c5a0bace7f4c57e3
MD5 f4e98e32fc4d9169ba32b959827f2dcc
BLAKE2b-256 07007685c1da86eb46d53d6047be562cf9abc624d6b38d3a4cf61ebd1a86c4cf

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-pp37-pypy37_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a6dd7946e6838d546b2df81c569b7aace800d15f215e70ffb17bf25390cb55b0
MD5 d7eddbdd6bccaaf89e9b29ddbd851885
BLAKE2b-256 aae459dabe305249d392b749072c9c41c5809485325081f8cb067bc030158aac

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 cf55537f25e84e3026f639d77d8301b51fcda149387a918333c395932c0e8ef9
MD5 0b240205a0fe442b8aaf29dee342d55d
BLAKE2b-256 1e2cc8e9afa2c83d57802ac3a2864c3b446154bd026b18fe3c48e25cad77e5ee

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp311-cp311-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp311-cp311-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 1e24cde147e2111a7ffd79d75d1f6a70f588ea8ce5519f6f810862e0239f7f4a
MD5 edac00ed7c60d49ea79b4cbe46b3b2d1
BLAKE2b-256 677a5c4bf0a6329e5a87575c7f2a8efb025d2063739ace670ce0fdbe635af47a

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp311-cp311-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp311-cp311-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 770247860eaa0418c26d46a54bc79aa87c9bc30ff74188c497ff908a139da5e5
MD5 a8b1a06142ceb78145a9bec36058ed76
BLAKE2b-256 4f7d389c594b4d7a7fb4ac8601f5902043e0578d13a69f1a427bf41d2aa09052

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 fd562194c03bd72314c69b8b71bc26b2f39afec70ba274cb1f79b2ecb98ac79a
MD5 0e3c4de9122853755d3be041f0187d2a
BLAKE2b-256 e96c3f36759a1639a5b70fcaccba5d0229c95ff870653c5939db940bfeaa23b6

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 cf86b581ae8e43648899278e217a5fb49b531a66b18de8f2c960f3655eeebfc4
MD5 85c24f80970d0bb15b00f318b449e3a3
BLAKE2b-256 502edd8387bc418e7ccf2caa5fb9acb99030f59b4f358811427a4b294508f621

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 20d1206c968c8289daaffae3a2c983e67789a5bd386d1b1de97517ac77c535c1
MD5 87b6deed2acfacd23444d26020cb08eb
BLAKE2b-256 6c76961ccc81e3008509e6a2aefad567ba2f2b2cbe8660f4153df6f2b06292a8

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 1d8b3795380db82874eb38dc973f2970d49461778c9143df1348102832709a98
MD5 a968d6f4929788e34d28d609b0a3c804
BLAKE2b-256 6c61df02ce3a5e0d7ee2cd0c0ffddd9462fb6de2766fb5825495635b44a97d71

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 210d6199896d8d79799e37e62603e9d4c25e14def571357bed5e0aa40cf06dd0
MD5 2fced571c528da2070c9f84b9d556daf
BLAKE2b-256 c17828fbca8c2d85500557c832443eb8d02226b2783d13cae2ec6e098b2f3ff5

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 63b8da73676664b04f0db2db59d76b6f7dad22d015102eeb19365ed258d35a02
MD5 aaf24411423e7343b3781b27b788b07d
BLAKE2b-256 9f8425c5129a1176f3a0a8e0e6012ee1bfe9652219d8385f9dd799859fc18740

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 7fcfd5e48701aeb097e107dfc1ef1ad612db02be3edb67783c9563eb462da080
MD5 916f357b98ef7b2b532c980c7af5332a
BLAKE2b-256 6af7d6c25aae6ae566272db28cdf02e4fddb035cb8d8875a304f5f680e3da9c8

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 d1d0154f637df4cfa2ab1ac8500929c94c5c195daa0951b910349dc5e6b66c35
MD5 394c665101fa7e924aba7d72f847d82f
BLAKE2b-256 39c70ad96aa5ac3373a39a2e454f863808a960353462281869012ca62fb5367b

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp310-cp310-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp310-cp310-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 f1bcefb3abd2a4975e12d1493693e28632d4b989005ccdd24cc3393e008e358b
MD5 47e2ae4784efbca7029986b317c61275
BLAKE2b-256 0a1e617ee1c7d6faceb55fef44d834da5acf7e977225c916e0836aeb94db317c

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1eacdc56c935d35aa249365abc96093afa35626de9765932aca1ae005430537f
MD5 2920d3433935aa1695cbb530a7800697
BLAKE2b-256 00acecc0b71699f081f216fef53e8b30604b84b8e45616191554156452aec31e

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 d1887a4f2293dabfec98617370a423e77ead398f688bd95ab5f74666dcecc122
MD5 bc730b34d5ba77c4342bed191e7b7a1b
BLAKE2b-256 afdacd37a6806681aab1bde6f06801671245a786093e909776bbddf97c01838e

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 74b644a2f3486e2efe019661aee12117e3347e587baf017ddd3351c8459f7f47
MD5 56eaded2a721b0b86bd3a9256274c267
BLAKE2b-256 6711c5a1cc2bd3ac60c10a15d9ec91be454ad3646f45d38dfaa24a08c1a93eef

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 d00bee69841505210a8acfa3ff8e435e3034dae21bdced4817072d2087fd38fa
MD5 fa9e185bd510ff7d2b9872c55a0db136
BLAKE2b-256 6ffe87b916dc4df3f711b8e3783cb3f9dba129712c265be398bfc5060536caf4

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 7774d710bd165e73229da7766de6949496cba964d2a3e4ca82063d868f19dfc9
MD5 ced8c1c6099afba1e2d3652ce46e0fd2
BLAKE2b-256 c686b25faa64d264ba6cc9ffe0f1d72686e888ade7a352093a3898cab7e25e45

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 d7ce53f6a033b32af7afe939cd8ae10bfa1576a1cb40d8d7a0e8cbbc2011f744
MD5 ffd975f7fa730e139223802195d6b919
BLAKE2b-256 299606f169d0f74af89ebb32912a0f2ac3a1b89467b3cf2329fe3aee113bf3ea

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 f7e869c20b306a7185cead447d0ff85f49f7a69be67c5b17f07fd8abb4784315
MD5 29235cc9f983cbd9c6a5995327707d33
BLAKE2b-256 16cc2e402e51a929e6a7b908aac141fc4e5d5d46a969af71fc77586aac42da44

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 7514cc42d07fc834c2612d30371d8783a9c14c6a35a61f2ccb9b884180e4c1a6
MD5 4e574e02a296226db555234464ee529e
BLAKE2b-256 5f62f26c3d5ad48239806a2b64077fc41a52d5469e99e2e54b724ab2c142ebba

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp39-cp39-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp39-cp39-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 aa99df10d6ab9111120f9ef31af65c0cf5912e2a5279c544e627ec4fa54c568e
MD5 4b3d430783e87c23db6b52224b09cb32
BLAKE2b-256 f6dcf5d84212405caf2eba433f9c34b565ba85dba290d31ec842f91b089e19c6

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 225d43a69450acf5b5b74d3e9cea2995d530bbda085648a70209ef581f2cc582
MD5 89f41ec1508d9760c196edda34e7c73d
BLAKE2b-256 241c71d7a4c639b3c4fbd8c41b177749cb9e0a8c572cb96260b344964c9958b0

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 e5ec5d3b9a980f32a1a1073497e1f6fcf7a39df7fead8011b363664c04ff0e5b
MD5 5fb1042bf16d4b007b74aa0c0a054740
BLAKE2b-256 1d26a9ac0c4dd33f035c69eb62aa92cbc57a7b65cc9c214d9aa257e8d2126244

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 94b38675c561fc81b7fc4aa8d3aff7560f2be6a118ef9c54950541315f3bc466
MD5 97a77e4ab726f7796e716a8ce583b9a3
BLAKE2b-256 7a80f7888a23aab5c736aaadd0aa7d3753f11cef8d4a285a0fde35d66ef3ea70

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 74ab6406e266847c05781ca9f22085267134890a8d914bf12248dfcc6e7c51cb
MD5 875f0f28be2ac2cee58cbe95c4f9ac1f
BLAKE2b-256 5fcc27585219e42af997d8cde96c6a3b35ec2195c87a222251d81817689c1014

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 9a062fa9af3d14c0f83949ca5a7ed0c187d34eedd04870a97b85e30354d051e0
MD5 4b3e31164b9492d622c10ccae6934d00
BLAKE2b-256 4d69bb419910ba7892df3735e923845898999b83ad8929e7c9da977da4951420

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 a41a3e25be8db9165e4579718e3c47423e8238fdb6b1b9059dacdbaa766e4fec
MD5 11feef2c6cbff1f0d8ef8d9f6e17ab3e
BLAKE2b-256 694e1cd7982caa3f89e332e35111f58b6fa67647edae8d3ddb035cd69986838b

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 d5860518af86deb768d037c36ab36f2cab85b5f24499a303b5a6c39acc21ee16
MD5 32c5cced9452c22a8960223a08f2404b
BLAKE2b-256 c0090607bb170346d85308f967005a8be43a8110b1f583d08eb42d2866e3514d

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 812b6555a5436879a09ee7cbd9eb22a004035294d2517926d33091ec40b09e52
MD5 d3ad7588eaca47ac74fb357974a41277
BLAKE2b-256 b27911944165db9661f3110bc06dd279ec1486a1d7dabbf26544dcbdef6c47b8

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp38-cp38-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp38-cp38-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 cab2af87cd39fa70291257356d3dd4c850c6de7ca4aee700f7fbf8ead43f8f6c
MD5 fe957b8b228e9bf29778ee34f87b5bd7
BLAKE2b-256 26a5728ef6413264ebddfb7b4a55e96dc60c7ddb5ecd91a6bbfc78e8f483b3de

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 01fa7144107a20c14a88e5a609f5c76ca1f5bb36017171610a218c530d337e33
MD5 2fc7a157d5f32d64add921a772e9aa0d
BLAKE2b-256 88049fe47e55bd2c1378bdbfc87bab90ec82968db51edc8295173a5c4237c6c0

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 9e174fae4e77d7abadc57b8b6d46af80ea5e514c6be7a7a02c3aa79db636f222
MD5 d5079b0d47999a46db9798e2b0929287
BLAKE2b-256 a970146ab2c5f1105f1b5fc68b2ce76772f35e4edfcf5031ea3237ad71095f07

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7cf474c00e21e90c5fe8e744985aa6d0bfb54fe50012b10f9bcea59f15f3bac0
MD5 e77d58bdb0faff0d1b533c583bbe9a03
BLAKE2b-256 3c2a2ed8dd0c422638a108b38568cb6b2612249e0f32f0cad29f3cce06328e8c

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 82e629fd7ac6cbcd107c250096582fb35728e3f6b4014a2632259d7fbb06ea34
MD5 3c75b62c512db8337c3a598e1deb158c
BLAKE2b-256 a0ee0fd83f4ba6b4ff00f0246ef2287a79e47b83a83ef91a363e7f37f8b56172

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 1f30ac7affffefa710650bb2f4ceb54d43b7fa118d5b2810f87baa53ee384cea
MD5 5b6ec027ef7de284e06ad0ae41f157eb
BLAKE2b-256 aa2e9ad250514d0d9248f4073ce9abd24111e921ba14e2d3de7840c9844eef64

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp38-cp38-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp38-cp38-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 e69da108a4fbfe1861a63cea98651af0ee8b0155fe18d663ed1b6b579db736b6
MD5 5072e4ee2cc83c79353ec981105594a2
BLAKE2b-256 5de7c5c4ca89ac956033e709954bb2bc93d3eb2bb03d8a394e12f0987e2a05c3

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 c27e2fb81ce669ad8bfa29bfeca018c5c81d6a2b05ff5ad115ae262964dfe761
MD5 dce1346e13dc4b890c0016bc5692a21f
BLAKE2b-256 ab31a2cae2e9f46097bb80223a59430110f86ba8dee558dfbbd4cb141a2678c7

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp37-cp37m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 26b2afb86fb0d37a1c65dd6b9f473a4dc60f7e4281ab3f6e8a52c646d5cb229f
MD5 af54082f6e658f92bdc1b3f715a7c960
BLAKE2b-256 dc40e960458773cf1a14ffc5cf29a2230cb05fd755585c8ecc2213dda92efa98

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp37-cp37m-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp37-cp37m-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 210c17477cdca7758ec6bc8b374a85f988cf2fb07c28c16b93b67797d9dc73fd
MD5 368ea3ef49da13409e14af23020eebd7
BLAKE2b-256 c2fe962aa0c4de9ec1cfba39a3c4802f17e3b635fae2330823b54e1823d64592

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 57a55e8701f324c603ffe80509e87817202e69f02b79e729afdc9a732f95a219
MD5 bdd4a5a7c44c6d465e4bc1aa63d362f6
BLAKE2b-256 192bb264b4ffbeeba8b7eee821e803ff507d682c5504b691b0afb05b6fc3d8e5

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 2c285e82e9db4c1d642643e8ac6a62754c501bed43d4753baca32097edd069de
MD5 b47c720755c8bad9667957690a88f93b
BLAKE2b-256 77dd89cf8315fdc0fd91f4cddbeebf620a43d4c6c9e9620498fb7cec00655965

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a40760f5f864a32e2e3b69f5aa3ff945b570feb8423b18dd39c9147eaf489d88
MD5 8c8d07649cde5c7053157848b3df0723
BLAKE2b-256 c5fa2f4597e50adfd3a552532053079521d5a3cdf818da4f8bb0f503b9094e8f

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 c6c6edf7264e7c407b2bbefbfd56de0af6d9eba4ea59b1344ea059caa453969c
MD5 f636776da227b3140d91195eb10ccd65
BLAKE2b-256 87085570dca64c25ae0eda45525f4df9c287a95181dc8c45f0901016a1a5e444

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp36-cp36m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp36-cp36m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 0faa4ce92725968f4ec97ec9c2a4b8d8db490246b59f2eaa986e31e696975162
MD5 0f48662a5071f5dfe2242834efb64f09
BLAKE2b-256 f5efb30f6a1dd2ad93cd62f44d8f4fb7f1fb8798bc39db786981a8e994b88e77

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp36-cp36m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp36-cp36m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 8f18f28c87c2ffbce2129a17f8208ebd4026c796f5af6c9c1bc15ba4a107fa68
MD5 95df748048f5133d9f132681a8ece6fa
BLAKE2b-256 26fea284ea6cf30d62974469604a88f8451b35968c66e97bb3898d8c78bb8b6e

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp36-cp36m-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp36-cp36m-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 36da329376679b98f68459958ef3d112e7738af0a803c0350cb6f805721cab3a
MD5 6f5a739c2945f9ee45ca2d7efdecf6d8
BLAKE2b-256 edd0af84a2b1f0fca34837c17f48c376446a252eabac127abe561e73f7a30ac6

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f631ed0da55254c83f09099df8faa45dbf57725f9fec5d260432db63a7a1a984
MD5 722359d45dc47c3cf5d1d9b9bd1621ce
BLAKE2b-256 889fc44fd1dda1fe160a1733fded2cd6f781851a7db047d42434eec1c113ebfb

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 afa33c20c94d32e8f3690cac5174d6932757a8c6676598a1a6adbbe4f31af573
MD5 9ecb127c411d8d9ce8a4ed33dcfb2011
BLAKE2b-256 84f937328035c3d9666138899a55bed0f4c17368292b06ee06ca817eac9e20af

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0a1812e4baec1060fe90e0b9e3ae7cb00b45cbf6b56d1f4ebad3113a23235934
MD5 31940f2fa02629d44f985a29e29fc44d
BLAKE2b-256 6764322864739196cb8212385996fe45f23e0bcc8e5c2f82dc4d1382f2c44225

See more details on using hashes here.

File details

Details for the file py_itree-0.0.16-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for py_itree-0.0.16-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b4b3d25236e01beeebfc104827f1fa91b8ee0ed04758ac21ddb80bc3b6ea85fb
MD5 a648f4be56089950d71b1f8d60405c38
BLAKE2b-256 eaf754a194d5e55807345d58f530cc454b1fe37419fe4765cae1401d184f73c5

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