shapely

Manipulation and analysis of geometric objects

These details have not been verified by PyPI

Project links

Project description

Manipulation and analysis of geometric objects in the Cartesian plane.

https://c2.staticflickr.com/6/5560/31301790086_b3472ea4e9_c.jpg

Shapely is a BSD-licensed Python package for manipulation and analysis of planar geometric objects. It is using the widely deployed open-source geometry library GEOS (the engine of PostGIS, and a port of JTS). Shapely wraps GEOS geometries and operations to provide both a feature rich Geometry interface for singular (scalar) geometries and higher-performance NumPy ufuncs for operations using arrays of geometries. Shapely is not primarily focused on data serialization formats or coordinate systems, but can be readily integrated with packages that are.

What is a ufunc?

A universal function (or ufunc for short) is a function that operates on n-dimensional arrays on an element-by-element fashion and supports array broadcasting. The underlying for loops are implemented in C to reduce the overhead of the Python interpreter.

Multithreading

Shapely functions generally support multithreading by releasing the Global Interpreter Lock (GIL) during execution. Normally in Python, the GIL prevents multiple threads from computing at the same time. Shapely functions internally release this constraint so that the heavy lifting done by GEOS can be done in parallel, from a single Python process.

Usage

Here is the canonical example of building an approximately circular patch by buffering a point, using the scalar Geometry interface:

>>> from shapely import Point
>>> patch = Point(0.0, 0.0).buffer(10.0)
>>> patch
<POLYGON ((10 0, 9.952 -0.98, 9.808 -1.951, 9.569 -2.903, 9.239 -3.827, 8.81...>
>>> patch.area
313.6548490545941

Using the vectorized ufunc interface (instead of using a manual for loop), compare an array of points with a polygon:

>>> import shapely
>>> import numpy as np
>>> geoms = np.array([Point(0, 0), Point(1, 1), Point(2, 2)])
>>> polygon = shapely.box(0, 0, 2, 2)

>>> shapely.contains(polygon, geoms)
array([False,  True, False])

See the documentation for more examples and guidance: https://shapely.readthedocs.io

Requirements

Shapely 2.0 requires

Python >=3.7
GEOS >=3.5
NumPy >=1.14

Installing Shapely

We recommend installing Shapely using one of the available built distributions, for example using pip or conda:

$ pip install shapely
# or using conda
$ conda install shapely --channel conda-forge

See the installation documentation for more details and advanced installation instructions.

Integration

Shapely does not read or write data files, but it can serialize and deserialize using several well known formats and protocols. The shapely.wkb and shapely.wkt modules provide dumpers and loaders inspired by Python’s pickle module.

>>> from shapely.wkt import dumps, loads
>>> dumps(loads('POINT (0 0)'))
'POINT (0.0000000000000000 0.0000000000000000)'

Shapely can also integrate with other Python GIS packages using GeoJSON-like dicts.

>>> import json
>>> from shapely.geometry import mapping, shape
>>> s = shape(json.loads('{"type": "Point", "coordinates": [0.0, 0.0]}'))
>>> s
<POINT (0 0)>
>>> print(json.dumps(mapping(s)))
{"type": "Point", "coordinates": [0.0, 0.0]}

Support

Questions about using Shapely may be asked on the GIS StackExchange using the “shapely” tag.

Bugs may be reported at https://github.com/shapely/shapely/issues.

Copyright & License

Shapely is licensed under BSD 3-Clause license. GEOS is available under the terms of GNU Lesser General Public License (LGPL) 2.1 at https://libgeos.org.

Project details

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

2.0.6

Aug 19, 2024

2.0.5

Jul 13, 2024

2.0.4

Apr 16, 2024

2.0.3

Feb 16, 2024

2.0.2

Oct 12, 2023

2.0.1

Jan 30, 2023

2.0.0

Dec 12, 2022

2.0rc3 pre-release

Dec 7, 2022

This version

2.0rc2 pre-release

Dec 3, 2022

2.0rc1 pre-release

Nov 26, 2022

2.0b2 pre-release

Oct 29, 2022

2.0b1 pre-release

Oct 17, 2022

2.0a1 pre-release

Aug 3, 2022

1.8.5.post1

Oct 13, 2022

1.8.5

Oct 12, 2022

1.8.4

Aug 17, 2022

1.8.3

Aug 17, 2022

1.8.2

May 3, 2022

1.8.1.post1

Feb 18, 2022

1.8.1

Feb 16, 2022

1.8.0

Oct 25, 2021

1.8rc2 pre-release

Oct 19, 2021

1.8rc1 pre-release

Oct 4, 2021

1.8a3 pre-release

Aug 24, 2021

1.8a2 pre-release

Jul 15, 2021

1.8a1 pre-release

Mar 4, 2021

1.7.1

Aug 20, 2020

1.7.0

Jan 28, 2020

1.7b1 pre-release

Jan 13, 2020

1.7a3 pre-release

Dec 31, 2019

1.7a2 pre-release

Jun 22, 2019

1.7a1 pre-release

Jul 29, 2018

1.6.4.post2

Jul 18, 2018

1.6.4.post1

Jan 24, 2018

1.6.4

Jan 24, 2018

1.6.3

Dec 9, 2017

1.6.2.post1

Oct 31, 2017

1.6.2

Oct 26, 2017

1.6.1

Sep 1, 2017

1.6.0

Aug 22, 2017

1.6b5 pre-release

Aug 18, 2017

1.6b4 pre-release

Feb 15, 2017

1.6b3 pre-release

Dec 31, 2016

1.6b2 pre-release

Dec 12, 2016

1.6b1 pre-release

Dec 12, 2016

1.6a2 pre-release

Nov 15, 2016

1.6a1 pre-release

Sep 14, 2016

1.6.dev0 pre-release

Jul 11, 2016

1.5.17.post1

Dec 23, 2016

1.5.17

Aug 31, 2016

1.5.16

May 27, 2016

1.5.15

Mar 29, 2016

1.5.14

Mar 28, 2016

1.5.13

Oct 10, 2015

1.5.12

Aug 27, 2015

1.5.11

Aug 23, 2015

1.5.10

Aug 23, 2015

1.5.9

May 28, 2015

1.5.8

Apr 29, 2015

1.5.7

Mar 16, 2015

1.5.6

Feb 4, 2015

1.5.5

Jan 20, 2015

1.5.4

Jan 19, 2015

1.5.3

Jan 13, 2015

1.5.2

Jan 4, 2015

1.5.1

Dec 4, 2014

1.5.0

Dec 2, 2014

1.4.4

Nov 3, 2014

1.4.3

Oct 1, 2014

1.4.2

Sep 29, 2014

1.4.1

Sep 24, 2014

1.4.0

Sep 9, 2014

1.3.3

Jul 23, 2014

1.3.2

May 13, 2014

1.3.1

Apr 22, 2014

1.3.0

Dec 31, 2013

1.2.19

Dec 30, 2013

1.2.18

Jul 23, 2013

1.2.17

Jan 27, 2013

1.2.16

Sep 18, 2012

1.2.15

Jun 27, 2012

1.2.14

Jan 24, 2012

1.2.13

Sep 16, 2011

1.2.12

Aug 15, 2011

1.2.10

May 11, 2011

1.2.9

Mar 31, 2011

1.2.8

Jan 3, 2011

1.2.7

Nov 9, 2010

1.2.6

Oct 21, 2010

1.2.5

Sep 19, 2010

1.2.4

Sep 16, 2010

1.2.3

Aug 19, 2010

1.2.2

Jul 23, 2010

1.2.1

Jun 23, 2010

1.2

May 27, 2010

1.2rc2 pre-release

May 26, 2010

1.2rc1 pre-release

May 25, 2010

1.2b7 pre-release

Apr 22, 2010

1.2b6 pre-release

Apr 13, 2010

1.2b5 pre-release

Apr 9, 2010

1.2b4 pre-release

Mar 19, 2010

1.2b3 pre-release

Feb 28, 2010

1.2b2 pre-release

Feb 19, 2010

1.2b1 pre-release

Feb 18, 2010

1.0.15

Mar 20, 2010

1.0.14

Oct 6, 2009

1.0.13

Sep 30, 2009

1.0.12

Apr 9, 2009

1.0.11

Nov 20, 2008

1.0.8

Nov 1, 2008

1.0.7

Aug 23, 2008

1.0.6

Jul 10, 2008

1.0.5

May 20, 2008

1.0.4

May 1, 2008

1.0.3

Apr 9, 2008

1.0.2

Feb 26, 2008

1.0.1

Feb 8, 2008

1.0

Jan 18, 2008

1.0rc2 pre-release

Jan 16, 2008

1.0rc1 pre-release

Jan 14, 2008

1.0b4 pre-release

Jan 4, 2008

1.0b3 pre-release

Jan 2, 2008

1.0b2 pre-release

Nov 27, 2007

1.0b1 pre-release

Nov 20, 2007

1.0a7 pre-release

Oct 23, 2007

Download files

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

Source Distribution

shapely-2.0rc2.tar.gz (270.3 kB view details)

Uploaded Dec 3, 2022 Source

Built Distributions

shapely-2.0rc2-cp311-cp311-win_amd64.whl (1.4 MB view details)

Uploaded Dec 3, 2022 CPython 3.11 Windows x86-64

shapely-2.0rc2-cp311-cp311-win32.whl (1.2 MB view details)

Uploaded Dec 3, 2022 CPython 3.11 Windows x86

shapely-2.0rc2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.3 MB view details)

Uploaded Dec 3, 2022 CPython 3.11 manylinux: glibc 2.17+ x86-64

shapely-2.0rc2-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (2.5 MB view details)

Uploaded Dec 3, 2022 CPython 3.11 manylinux: glibc 2.17+ i686

shapely-2.0rc2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.3 MB view details)

Uploaded Dec 3, 2022 CPython 3.11 manylinux: glibc 2.17+ ARM64

shapely-2.0rc2-cp311-cp311-macosx_11_0_arm64.whl (1.2 MB view details)

Uploaded Dec 3, 2022 CPython 3.11 macOS 11.0+ ARM64

shapely-2.0rc2-cp311-cp311-macosx_10_9_x86_64.whl (1.4 MB view details)

Uploaded Dec 3, 2022 CPython 3.11 macOS 10.9+ x86-64

shapely-2.0rc2-cp311-cp311-macosx_10_9_universal2.whl (2.4 MB view details)

Uploaded Dec 3, 2022 CPython 3.11 macOS 10.9+ universal2 (ARM64, x86-64)

shapely-2.0rc2-cp310-cp310-win_amd64.whl (1.4 MB view details)

Uploaded Dec 3, 2022 CPython 3.10 Windows x86-64

shapely-2.0rc2-cp310-cp310-win32.whl (1.2 MB view details)

Uploaded Dec 3, 2022 CPython 3.10 Windows x86

shapely-2.0rc2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.3 MB view details)

Uploaded Dec 3, 2022 CPython 3.10 manylinux: glibc 2.17+ x86-64

shapely-2.0rc2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.2 MB view details)

Uploaded Dec 3, 2022 CPython 3.10 manylinux: glibc 2.17+ ARM64

shapely-2.0rc2-cp310-cp310-macosx_11_0_arm64.whl (1.2 MB view details)

Uploaded Dec 3, 2022 CPython 3.10 macOS 11.0+ ARM64

shapely-2.0rc2-cp310-cp310-macosx_10_9_x86_64.whl (1.4 MB view details)

Uploaded Dec 3, 2022 CPython 3.10 macOS 10.9+ x86-64

shapely-2.0rc2-cp310-cp310-macosx_10_9_universal2.whl (2.4 MB view details)

Uploaded Dec 3, 2022 CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64)

shapely-2.0rc2-cp39-cp39-win_amd64.whl (1.4 MB view details)

Uploaded Dec 3, 2022 CPython 3.9 Windows x86-64

shapely-2.0rc2-cp39-cp39-win32.whl (1.2 MB view details)

Uploaded Dec 3, 2022 CPython 3.9 Windows x86

shapely-2.0rc2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.3 MB view details)

Uploaded Dec 3, 2022 CPython 3.9 manylinux: glibc 2.17+ x86-64

shapely-2.0rc2-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (2.5 MB view details)

Uploaded Dec 3, 2022 CPython 3.9 manylinux: glibc 2.17+ i686

shapely-2.0rc2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.2 MB view details)

Uploaded Dec 3, 2022 CPython 3.9 manylinux: glibc 2.17+ ARM64

shapely-2.0rc2-cp39-cp39-macosx_11_0_arm64.whl (1.2 MB view details)

Uploaded Dec 3, 2022 CPython 3.9 macOS 11.0+ ARM64

shapely-2.0rc2-cp39-cp39-macosx_10_9_x86_64.whl (1.4 MB view details)

Uploaded Dec 3, 2022 CPython 3.9 macOS 10.9+ x86-64

shapely-2.0rc2-cp39-cp39-macosx_10_9_universal2.whl (2.4 MB view details)

Uploaded Dec 3, 2022 CPython 3.9 macOS 10.9+ universal2 (ARM64, x86-64)

shapely-2.0rc2-cp38-cp38-win_amd64.whl (1.4 MB view details)

Uploaded Dec 3, 2022 CPython 3.8 Windows x86-64

shapely-2.0rc2-cp38-cp38-win32.whl (1.2 MB view details)

Uploaded Dec 3, 2022 CPython 3.8 Windows x86

shapely-2.0rc2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.3 MB view details)

Uploaded Dec 3, 2022 CPython 3.8 manylinux: glibc 2.17+ x86-64

shapely-2.0rc2-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (2.5 MB view details)

Uploaded Dec 3, 2022 CPython 3.8 manylinux: glibc 2.17+ i686

shapely-2.0rc2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.2 MB view details)

Uploaded Dec 3, 2022 CPython 3.8 manylinux: glibc 2.17+ ARM64

shapely-2.0rc2-cp38-cp38-macosx_11_0_arm64.whl (1.2 MB view details)

Uploaded Dec 3, 2022 CPython 3.8 macOS 11.0+ ARM64

shapely-2.0rc2-cp38-cp38-macosx_10_9_x86_64.whl (1.4 MB view details)

Uploaded Dec 3, 2022 CPython 3.8 macOS 10.9+ x86-64

shapely-2.0rc2-cp38-cp38-macosx_10_9_universal2.whl (2.4 MB view details)

Uploaded Dec 3, 2022 CPython 3.8 macOS 10.9+ universal2 (ARM64, x86-64)

shapely-2.0rc2-cp37-cp37m-win_amd64.whl (1.4 MB view details)

Uploaded Dec 3, 2022 CPython 3.7m Windows x86-64

shapely-2.0rc2-cp37-cp37m-win32.whl (1.2 MB view details)

Uploaded Dec 3, 2022 CPython 3.7m Windows x86

shapely-2.0rc2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.3 MB view details)

Uploaded Dec 3, 2022 CPython 3.7m manylinux: glibc 2.17+ x86-64

shapely-2.0rc2-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (2.4 MB view details)

Uploaded Dec 3, 2022 CPython 3.7m manylinux: glibc 2.17+ i686

shapely-2.0rc2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.2 MB view details)

Uploaded Dec 3, 2022 CPython 3.7m manylinux: glibc 2.17+ ARM64

shapely-2.0rc2-cp37-cp37m-macosx_10_9_x86_64.whl (1.4 MB view details)

Uploaded Dec 3, 2022 CPython 3.7m macOS 10.9+ x86-64

File details

Details for the file shapely-2.0rc2.tar.gz.

File metadata

Download URL: shapely-2.0rc2.tar.gz
Upload date: Dec 3, 2022
Size: 270.3 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.1 CPython/3.11.0

File hashes

Hashes for shapely-2.0rc2.tar.gz
Algorithm	Hash digest
SHA256	`8aa15f1d281b9f6ffc06582415d1449c9a23616508b88b27ecafa60daa161af4`
MD5	`ac7751088e625b30dd245921375e5b9f`
BLAKE2b-256	`7fdf9598a4a7597488dac6e3ad94a041c6d9a82551617b845faf9866c4b7907b`

Algorithm	Hash digest
SHA256	`40a75f22a67b2f40c143ce88180de5d7cdb5a6997c86a072b90a3c6ba56090d6`
MD5	`e53d93202059d9898baacd950bc8e9bb`
BLAKE2b-256	`46a83473ed0d356b3f67b35da96ab595d161548bdd4b881e7cc9649919ca1783`

Algorithm	Hash digest
SHA256	`c51f05474f1cfcd3287e829c99c7c5126bf357701cad0acc6dcaae6a2ff3b800`
MD5	`4b290c530759212099398ae8bdf69149`
BLAKE2b-256	`c8382cc9ff372838d71518a18ba4a3f3cceb96953aa8729fea51cde2d9e88d3b`

Algorithm	Hash digest
SHA256	`bc4ef218a98c517878f84c778dc16d2d0bbe20d2b5f39121feafb3477873b087`
MD5	`289acc3cf64a33f4346e84e034663083`
BLAKE2b-256	`a05dc72ce0230bc285b8d4fc78823d6218d7383d040980b99844f949bf28b689`

Algorithm	Hash digest
SHA256	`a0e66e7c090dfd5c05050f0ea3b3f65cb84612d43645184849c8e765caf62fef`
MD5	`3c7ea374ab193a4751e8499768918b45`
BLAKE2b-256	`7c920db37f18a09e5afa15cbe138e68b09a078a01500340820ebf4c3a26f233c`

Algorithm	Hash digest
SHA256	`b7afae6c8dc0452b79f0fd2a3194a28fbe68b7f0108562f0ba9b115fcf23fbc0`
MD5	`8d6ae5f47f1e8e20d1b635316ae3a5c1`
BLAKE2b-256	`ef45958775c6cb3b2f74758de927281d8b9e067170e04f76cd81b09a15d36d43`

Algorithm	Hash digest
SHA256	`2f85e35cb7a807e96a9caf4dbe61634acc73e1541c3aa4e827f8c4142c2542b1`
MD5	`ab9916105382cc7dda29c3b97fe381e5`
BLAKE2b-256	`43c93f1e3bc9b7e92bb0d4c769c15a41db3bc9a3821b12e3ff9be7885e02e07f`

Algorithm	Hash digest
SHA256	`63fa07b1fd34a35f8595391ca6bad70ac749c657425f086a9976bffca519ad83`
MD5	`1a8f8ef5209ec359e76be3d83e4ea189`
BLAKE2b-256	`6ed94355da7f3df462422446e12a8aa58bdaa7b3af8fcdcc8319f383890bae79`

Algorithm	Hash digest
SHA256	`957f2fe24fbe65366e6941e1cca8414f37e1a54dcace4f7b9d493a9d0225c6bb`
MD5	`0d382f610c4dd1d6ab8bedf8e9628a06`
BLAKE2b-256	`e286f044366ebde0956b82f23bc659ba91477a69203b87947cec399b01a96666`

Algorithm	Hash digest
SHA256	`b57fac9cf7a0264f245a0fb7d7a833b0687e0c264eb3e1af60878436e35033d5`
MD5	`504c730903a909a8052f09e1e20e2c60`
BLAKE2b-256	`7bcfec13b7abd68f0604f811c8f8353bb3c921506e6f7f7ca91aeac594124270`

Algorithm	Hash digest
SHA256	`f4473e9525821702c5703d7b5f26aed1b0422f4151ed8e2b38e3dd6fe32449f6`
MD5	`5899255765cd88b072309229e7147cd0`
BLAKE2b-256	`91987597662c5da9bf10b0db8f89e6734c0ddad5b0c8cfe60663bbe8e32fb42a`

Algorithm	Hash digest
SHA256	`a5c1c85cfbcd04653e085ed471231580e146df825b5200ee1a40269562139365`
MD5	`c09b385efec92b4b55b63ee4bf533515`
BLAKE2b-256	`e17b77e9c2748de520d1af93a33fbeb34b20d6e1611e47becc171e8fe17937c5`

Algorithm	Hash digest
SHA256	`6b70d7fbb3617e2f33b24b19313c9df1a87c6534e6535e2dbd0d8c907787487c`
MD5	`3b7d3f0d4e82c2996c9827405649d639`
BLAKE2b-256	`7872ab558b790b5669095e89679e1085e760210a4424bbf09bd108cd51e70cd8`

Algorithm	Hash digest
SHA256	`8525ccaeae1a858c08f7585632a0fcbcdfb00956aa26380568c37dca1586e783`
MD5	`3047876f65ae8c1416f4baf14b64fe16`
BLAKE2b-256	`e9a4dacc6cab3b2afcc73a565d6169be98b7be66587c946c8081360f307af1da`

Algorithm	Hash digest
SHA256	`88f48c53cbba79bccee24d14fdbb18d461411f6467c54e54acfa1190e8eb3c30`
MD5	`656684cdc4dfdcc200c1826a74e17c98`
BLAKE2b-256	`6716198b2d7f4ebde116a9a4319f7d9033041a69fc618cde976da863f3f2fb46`

Algorithm	Hash digest
SHA256	`35adc1aceea668e39141088ff6f29bd7188e9715b478cd5253e04a4e418c3fd9`
MD5	`eb43e310cf19f8d7db37ce0856b255c4`
BLAKE2b-256	`ef285683a2850333e8c710c6290769d0d06048a39a221efab0ac7d8c0a843473`

Algorithm	Hash digest
SHA256	`77923b9a2c27a1dfb1395bc5649355197c2d3a47c628747ec343b3e03c692061`
MD5	`35a670180cc0f9287568325159a7d456`
BLAKE2b-256	`6396d0f3ffddee21b395a1b619a5d4212c37ffd48d47aed941d9c3cf89de8e9f`

Algorithm	Hash digest
SHA256	`4c8ae4af4bee8fb1b497cf4af429f201554744386effd271edbd56c6003a7aea`
MD5	`f7003cecb41a3f064c51a6b0bdce9cba`
BLAKE2b-256	`8fc73177027c3748e876eedb15ad4761c3dff76b7d04110221f0def3b0bd9e20`

Algorithm	Hash digest
SHA256	`146f089ac9194f229760f79411318cbb05b34bc301654a9f14128f380d2fdb64`
MD5	`2384abb47f9d8a70b36539637a6780d7`
BLAKE2b-256	`183d53b027fe603180ec71eaf3c95ded4086337484eb9a162342db69b8259b1c`

Algorithm	Hash digest
SHA256	`b708e4a399c7045d89a5ca7cc295a47d2d339712172a2cec7e31a9379c98b6a7`
MD5	`3110da72375174c4532334b5f6d4d7a1`
BLAKE2b-256	`8f4531f4ff09d37729985bf510b37d8c95eb8c21ab2100218206962da3e3819c`

Algorithm	Hash digest
SHA256	`d72615759282f57ec7a30040df7900abe904cb2cd0ca4754673fe75e78b30e62`
MD5	`034ad71b02018d8197097b95f7f5332c`
BLAKE2b-256	`bd13304e0af39aa67f528a159249eaaa53219132d9b52e68142ecc3f58cfe7c2`

shapely 2.0rc2

Navigation

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Project description

What is a ufunc?

Multithreading

Usage

Requirements

Installing Shapely

Integration

Support

Copyright & License

Project details

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Release history Release notifications | RSS feed

Download files

Source Distribution

Built Distributions

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

Algorithm	Hash digest
SHA256	`72f70617fee85f714a829bc46d6686e63bcabbcf6a9df0aecbdb0ce01e83837b`
MD5	`9d01c7b89a0764ce2835a3bfaf08045e`
BLAKE2b-256	`98d19f154654a53b2753961188393eebcf4667962060b55995fcac7dcceb3d8c`

Algorithm	Hash digest
SHA256	`8b9f2fcc2d7b85aea8bc812b4e1326a66312eb119e07b6712c4dbce9c0718996`
MD5	`9810f8064a758d3c8928ac78cdb898b4`
BLAKE2b-256	`8e6e11f0011c3aa1562344e8313d622b5eb271e682dcbfd5f8eded3cabf10ae5`

Algorithm	Hash digest
SHA256	`202daad875632fa64825d3a54cb04bce02c97087062fd6e928fd7498c5d60d1e`
MD5	`a3827c20548b8604805bc1c6e75df612`
BLAKE2b-256	`75ccf0d89e75dbf86117821b777736fe50eb1aa9eece9939864e5855cd94e758`

Algorithm	Hash digest
SHA256	`2e0df7a4b25f2b3f80064419c6b9ac04288827eb1738ad2067453d80b49b6951`
MD5	`08a70ee84a0c5d8b74ef86f2f6e7ba30`
BLAKE2b-256	`d4c3afc35023cf28ebfd50d3d94853e8f79f686b9ca7de4f4fa4c99a98c66f1d`

Algorithm	Hash digest
SHA256	`5714a531fd54aab9dc4762a84775556b9fee68f751a43c913d8c148f65028417`
MD5	`ff326b76fc0d0f7fe19f50c812e36598`
BLAKE2b-256	`41371f0037c3d98ce8d8324189f44a301d4d1a76b4a64ece2a035addc00507f0`

Algorithm	Hash digest
SHA256	`f6bca054aab234721fd633bf35b64ee9e1f5a5ba3a1d1916add7b75500af2d68`
MD5	`721a666f239f917f842889c21ad22acb`
BLAKE2b-256	`c70d0e4a9f5402634754f3f1a2d440843a10bff3067a7cf768311cbdf9becfbd`

Algorithm	Hash digest
SHA256	`c6a4c2eabb80813bfb3ca3fd173eff6af2a8e61106484512ae30ea506b2b1948`
MD5	`c344c1b0b79ead5a8b590b304a8c7883`
BLAKE2b-256	`751facb93bf851fded8bbd4612a6623a0f6fa93e301f3e1f71dfccf41cb76647`

Algorithm	Hash digest
SHA256	`d640a369a6aeb73676262c4fd90192dbbb0e82a5b8305b5d7a854f8fde7d0a7d`
MD5	`438e087ae370448137e458f110d2eb20`
BLAKE2b-256	`8d51ba257637082de60605c364c0373140af2ba63c1f7333378499fbd8f87667`

Algorithm	Hash digest
SHA256	`38755619fa99b11c77bfe9d7fbf1b2114ccecf940e909bf972975c684c845d7d`
MD5	`993eeb671678cfc70430c1816d7e7113`
BLAKE2b-256	`b0f38bbda36726b0f542698b1cb584ac9850c72d242ccd11d0f5b9943e6d3ed4`

Algorithm	Hash digest
SHA256	`e4e99d09e6e29315400c2a3377e6e7229d08e4ab422ae6243e6886c825699f58`
MD5	`38963204194d5a884251bee5ea3b96f6`
BLAKE2b-256	`8bbc042fed7658e0046dd555b1f9bb10f93e5f0140ae3a0cf152a38affd5255b`