Skip to main content

MGRS coordinate conversion for Python

Project description

mgrs: Converting to and from MGRS and Decimal Degrees

GeoTrans provides C code for converting to and from MGRS, but well, it’s C code :). This is a simple ctypes wrapper around two of the MGRS-related functions in GeoTrans.

This library has an internal copy of some of the files from GeoTrans 2.4.2.

ChangeLog

1.4.3

  • Wheels

  • black, flake8, and isort linters

1.4.2

  • GitHub Action builders needed to be changed to push release

1.4.1

  • Fix install requirements #34

1.4.0

  • Alias and deprecate RTreeError #33

1.3.9

  • MGRS now requires packaging library #31

  • Fix wheel imports of shared libs

1.3.8

  • UTF-8 encoding for all strings.

  • Fix #29 implicit tuple on return of UTMToMGRS

1.3.7

  • automated building of osx, linux and win64 wheels

  • Migrate from TravisCI => GitHub Actions

  • Warnings cleanup

  • flake8 validation

1.3.6

1.3.4

1.3.3

1.3.2

  • Better Windows support

  • Bug fix for 3 digit longitudes

1.3.1

  • Python 3.x support

  • Allow user to override precision in UTMToMGRS

Usage

In a nutshell:

>>> import mgrs

>>> latitude = 42.0
>>> longitude = -93.0

>>> m = mgrs.MGRS()
>>> c = m.toMGRS(latitude, longitude)
>>> c
'15TWG0000049776'

>>> d = m.toLatLon(c)
>>> d
(41.999997975127997, -93.000000000000014)

>>> y = '321942.29N'
>>> yd = m.dmstodd(y)
32.328414

>>> d, m, s = m.ddtodms(32.328414)
>>> d, m, s
(32.0, 19.0, 42.290400)

You can also control the precision of the MGRS grid with the MGRSPrecision arguments in .toMGRS(). Other than that, there isn’t too much to it.

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

mgrs-1.5.0.tar.gz (32.0 kB view details)

Uploaded Source

Built Distributions

mgrs-1.5.0-pp310-pypy310_pp73-win_amd64.whl (60.1 kB view details)

Uploaded PyPy Windows x86-64

mgrs-1.5.0-pp310-pypy310_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.3 kB view details)

Uploaded PyPy manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.17+ x86-64

mgrs-1.5.0-pp310-pypy310_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl (61.7 kB view details)

Uploaded PyPy manylinux: glibc 2.12+ i686 manylinux: glibc 2.17+ i686

mgrs-1.5.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl (56.5 kB view details)

Uploaded PyPy macOS 11.0+ ARM64

mgrs-1.5.0-pp39-pypy39_pp73-win_amd64.whl (60.1 kB view details)

Uploaded PyPy Windows x86-64

mgrs-1.5.0-pp39-pypy39_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.3 kB view details)

Uploaded PyPy manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.17+ x86-64

mgrs-1.5.0-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl (61.7 kB view details)

Uploaded PyPy manylinux: glibc 2.12+ i686 manylinux: glibc 2.17+ i686

mgrs-1.5.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl (56.5 kB view details)

Uploaded PyPy macOS 11.0+ ARM64

mgrs-1.5.0-cp312-cp312-win_amd64.whl (60.0 kB view details)

Uploaded CPython 3.12 Windows x86-64

mgrs-1.5.0-cp312-cp312-win32.whl (57.9 kB view details)

Uploaded CPython 3.12 Windows x86

mgrs-1.5.0-cp312-cp312-musllinux_1_2_x86_64.whl (86.8 kB view details)

Uploaded CPython 3.12 musllinux: musl 1.2+ x86-64

mgrs-1.5.0-cp312-cp312-musllinux_1_2_i686.whl (84.9 kB view details)

Uploaded CPython 3.12 musllinux: musl 1.2+ i686

mgrs-1.5.0-cp312-cp312-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (88.6 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.17+ x86-64

mgrs-1.5.0-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl (83.3 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.12+ i686 manylinux: glibc 2.17+ i686

mgrs-1.5.0-cp312-cp312-macosx_11_0_arm64.whl (56.9 kB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

mgrs-1.5.0-cp311-cp311-win_amd64.whl (60.0 kB view details)

Uploaded CPython 3.11 Windows x86-64

mgrs-1.5.0-cp311-cp311-win32.whl (57.9 kB view details)

Uploaded CPython 3.11 Windows x86

mgrs-1.5.0-cp311-cp311-musllinux_1_2_x86_64.whl (86.7 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.2+ x86-64

mgrs-1.5.0-cp311-cp311-musllinux_1_2_i686.whl (84.9 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.2+ i686

mgrs-1.5.0-cp311-cp311-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (88.6 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.17+ x86-64

mgrs-1.5.0-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl (83.3 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.12+ i686 manylinux: glibc 2.17+ i686

mgrs-1.5.0-cp311-cp311-macosx_11_0_arm64.whl (56.9 kB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

mgrs-1.5.0-cp310-cp310-win_amd64.whl (60.0 kB view details)

Uploaded CPython 3.10 Windows x86-64

mgrs-1.5.0-cp310-cp310-win32.whl (57.9 kB view details)

Uploaded CPython 3.10 Windows x86

mgrs-1.5.0-cp310-cp310-musllinux_1_2_x86_64.whl (86.7 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.2+ x86-64

mgrs-1.5.0-cp310-cp310-musllinux_1_2_i686.whl (84.8 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.2+ i686

mgrs-1.5.0-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (88.6 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.17+ x86-64

mgrs-1.5.0-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl (83.3 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.12+ i686 manylinux: glibc 2.17+ i686

mgrs-1.5.0-cp310-cp310-macosx_11_0_arm64.whl (56.9 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

mgrs-1.5.0-cp39-cp39-win_amd64.whl (60.0 kB view details)

Uploaded CPython 3.9 Windows x86-64

mgrs-1.5.0-cp39-cp39-win32.whl (57.9 kB view details)

Uploaded CPython 3.9 Windows x86

mgrs-1.5.0-cp39-cp39-musllinux_1_2_x86_64.whl (86.7 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.2+ x86-64

mgrs-1.5.0-cp39-cp39-musllinux_1_2_i686.whl (84.8 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.2+ i686

mgrs-1.5.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (88.6 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.17+ x86-64

mgrs-1.5.0-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl (83.3 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ i686 manylinux: glibc 2.17+ i686

mgrs-1.5.0-cp39-cp39-macosx_11_0_arm64.whl (56.9 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

File details

Details for the file mgrs-1.5.0.tar.gz.

File metadata

  • Download URL: mgrs-1.5.0.tar.gz
  • Upload date:
  • Size: 32.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for mgrs-1.5.0.tar.gz
Algorithm Hash digest
SHA256 bff4f7e806ed29d46f8a31a01e6e0e6629e1eca425f745d39af639260bbc89c6
MD5 88226c656e2c1ea951586bd6b5bbace1
BLAKE2b-256 ab166d6f90f43d6ca1b5560c763f60bf5142ce54024f14164d404c9311cb1137

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-pp310-pypy310_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for mgrs-1.5.0-pp310-pypy310_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 0aceeed9b1f321e081c790c3263b383688bd0a7ad4e2e79312d3438af1209bbd
MD5 277cd4a5bb6b16c8af1ebda472ba8311
BLAKE2b-256 9106ceccc1633bf4734b3fbb8048c2eeb1bb395dda7e6544868782604f0aff70

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-pp310-pypy310_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for mgrs-1.5.0-pp310-pypy310_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ed6a47f008ddbc24743de3cd507a7cd6a31c582552c89c807854e6c2fa55e0a8
MD5 ed7b88ab304df53aa744f318b9b8f1b4
BLAKE2b-256 ab5767de35d289365e8fbd66fb55cfd3910e8e1ab8fa27dc327b61cddb516a55

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-pp310-pypy310_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for mgrs-1.5.0-pp310-pypy310_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 3be147a68dd0b45f0afb8b8425515028e8576a3c9089ba38f2f3f669f7e10a0d
MD5 867dc8f57b64197be10eda588b2aa022
BLAKE2b-256 9cf26eb7d883aa4886df975068873fc8d2828c3efcf379e396346c582de0d71f

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for mgrs-1.5.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 d40c9f5d95fc14796444dba16a6dbb74ec61d22d9689d2cdc003b33a589bd355
MD5 7d2a9f1a346d2f1c23d71aae7be3a6dd
BLAKE2b-256 4d7189c12d2dd3cddc98978c7763e7b276e776e1da42cf4c2877144e93ee920d

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for mgrs-1.5.0-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 ca1f34f5f40e94bea8d30fb0f97d50ecc02fa86761f07e2402d257f71e9e65cc
MD5 8a252fed96db14758ee8a7caac569005
BLAKE2b-256 74bd5ac6ab22e244f0ea85224719a34e9969ec06feed666526831b4df4825383

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-pp39-pypy39_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for mgrs-1.5.0-pp39-pypy39_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4026069d39ffc6953cc970b4992c25e18983e1a24db512a644518a757c5a87b4
MD5 009806bc8061d02abc6e238b8c4bd874
BLAKE2b-256 2a38834339f069719e4c260ff6b856d44b6c84ce8959d623cc8d91a383a0c01e

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for mgrs-1.5.0-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 1f969797a86c3bbd9348305611ec2c6c30ea98af5fdcab0d39a1989cd595f6ab
MD5 f19aa4fc9cddd6c60249e0588b56cb5a
BLAKE2b-256 eb84f979eb74f8fbe4a2195556e101330cb6cdcd649c139920df6bea9e74462a

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for mgrs-1.5.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 d71fe869340f5aafabbdff525683794658017f664c6edd1677920ca44f58583b
MD5 156bd5c931ff44fddb4866cbb10a4c50
BLAKE2b-256 5ba7f4b7903d273917bf359bd02feef27142a15f996b2e59fa61b117530e83e2

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: mgrs-1.5.0-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 60.0 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for mgrs-1.5.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 134343e425204c3503f7d71a79ade41ef09baa9537a5eac54ed9124df0b567f1
MD5 3426d46d5c1d1c21dbf0b9138347a302
BLAKE2b-256 908991bd50c37b059c226e46d300247b015d29d50c8ddff2cf46f127cce2fbc5

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-cp312-cp312-win32.whl.

File metadata

  • Download URL: mgrs-1.5.0-cp312-cp312-win32.whl
  • Upload date:
  • Size: 57.9 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for mgrs-1.5.0-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 749b019e5f3cc40a4a642e8937bdb0c85c30ceb9c5ca11dc98e40b6854c780f1
MD5 ad5e185ac6094eb94a70280f801b1022
BLAKE2b-256 3a0bc1c3163c395c2e92f4556b2cf5e541fa8e9ddfcf10a88f99bfeee30f6429

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for mgrs-1.5.0-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 36021894edff1c53f8775b299b4b29e20fe79365a2ace8d42f90c49f5c2c9e81
MD5 5e6f8119abb6983484eb5e5754394069
BLAKE2b-256 8ff83002f71ca4d37a68dc363538ffe32d76bd77416405af6faff0ae5b0dc3cd

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-cp312-cp312-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for mgrs-1.5.0-cp312-cp312-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 b6fea82cc17069ab866e93abbf37913a0044a66e0d21255f06862b2feaa248fd
MD5 bd746c2a2a24b8f189a5f8bd70ee8a92
BLAKE2b-256 e909dcf0ec8b0e97ab0ecb7f9ab019d13e02bc2d9b10ea306ccd390576820980

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-cp312-cp312-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for mgrs-1.5.0-cp312-cp312-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 40c0193c57fccdc4031f69fe65803767e3d25e99e28199fdd893ea939e301be6
MD5 fdccd1a292a8b73a1e07e3f02e757ccd
BLAKE2b-256 5008b46cc09916d1b1753d0144b3135e70d0d5aa0bf29acf92ce3b0ba0e0b61d

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for mgrs-1.5.0-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 89d67dbdc337bc4ca5f212bc5cdf3be754862a2310c552fc13cc4cce264bfbff
MD5 4b2a4742f32c0f806244b434ccf565cd
BLAKE2b-256 d2e8fe7e363459174bfa68069bd523ad160b6f63f24b7b86dfb776ad7e027200

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for mgrs-1.5.0-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 3171ae9581238bbb5467e4dc85dfb0299ae17085e3a196640615e20ddb6a24c8
MD5 1655203729020ae4997edb6acebe5b0e
BLAKE2b-256 9ebd6a0d2692c38708b559cb9fe4f3ee59f2a0c5f5a9f392f4133e27add12acd

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: mgrs-1.5.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 60.0 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for mgrs-1.5.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 7904c2c454cf5afbe2fa11e898d3881625e817c66fe24dfdf098a9153cda4023
MD5 55bc4300cefd5c651b637af6e732a8fb
BLAKE2b-256 d5d328d979d725ecc58d748135e3226ca18ecdefd699d4d8c1d6440bb67daba5

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-cp311-cp311-win32.whl.

File metadata

  • Download URL: mgrs-1.5.0-cp311-cp311-win32.whl
  • Upload date:
  • Size: 57.9 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for mgrs-1.5.0-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 b0a9a2ef778e9477647f154d40b5c2a0f723061a12a349ddb30cb9c20f153108
MD5 e8b51ac9498e075cb0f28dbe466b7b69
BLAKE2b-256 959b1c5839ad344243748d91ac64d981b018db3fd13e8b2f44f159fd431c24d9

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for mgrs-1.5.0-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 9416e237680877fa79e71fa7ed98e3de412320dcc17590d241bfff21d4db952f
MD5 1088f40120ea8deaba8fd06663c64248
BLAKE2b-256 59ac669bf04b4288412ba58cdcd66e083d9278c3f876e54e236e59734446e085

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-cp311-cp311-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for mgrs-1.5.0-cp311-cp311-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 9364a70e067ad1c346fe02094007ba9077d2b53672922251de243268e6cc54a4
MD5 29170440dc9f60c3b05b76eb9a1147b2
BLAKE2b-256 37865a922b43be0732bb0e510200f194d72af0de7f8904707b4fbe9863eeb902

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-cp311-cp311-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for mgrs-1.5.0-cp311-cp311-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 805455e5475681074125381381035434929fec27abdeeb2ff633e5feb41ce1f1
MD5 a115b339842a975bad005477d23819c1
BLAKE2b-256 200ab9418799e067893035171dea1ab97a623a856fc72505fa98d9594895b013

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for mgrs-1.5.0-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 73e175cd4795bc08309a33499294c85cdae2f2e86e7fbe2b79ea5fc7e6663e87
MD5 a279a1d524128ce9d8470898b9b11740
BLAKE2b-256 ca415c554b4eae8f13ae341cb3380c3b2b47b56213934a0f418bb879c21c7bcc

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for mgrs-1.5.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 8f29e88b7fb458c2d574dd1f771347e6ec5bd548ca8a5aeab1b1a39cb93b25f6
MD5 0490160962ec27fdc8e45d94a5ce95e9
BLAKE2b-256 3645384af3dafdbcc181b84eb93a28d55a291b4c1cc3e2b2f112923037f7ad68

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: mgrs-1.5.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 60.0 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for mgrs-1.5.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 f78c7e5014e5cae6c5513221a299379306561de432ff7373c0aee2a4ed90b560
MD5 0525b309a5c4aceca06579faabf475e0
BLAKE2b-256 3a62d91cf1995aa2cd14061a2be1b1569b430913381a685da544590f95b713f4

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-cp310-cp310-win32.whl.

File metadata

  • Download URL: mgrs-1.5.0-cp310-cp310-win32.whl
  • Upload date:
  • Size: 57.9 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for mgrs-1.5.0-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 4f60fb1bad0923215a3156d9b833dcd5eeeb64e3309513159f0ab2d7829c1068
MD5 b7997e9769aa791115e0158c05aa3d1e
BLAKE2b-256 7bec2d85fbd95921acbf25a7cbb94d4cda24b895e52ec92c790d95baaba820e8

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for mgrs-1.5.0-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 42a47c3feed7cac9dcdf5fcc6066a77a878c30083e75acbfb5566cf446441d99
MD5 c3a32344aefc30443ddd6b43b2dfef9d
BLAKE2b-256 4ca2542124c526e03cf37e2c7ee88efbdc13771eed9cc0b5f7e984a4416823bd

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-cp310-cp310-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for mgrs-1.5.0-cp310-cp310-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 137296c2df8fdfdfcaa6e21d81a27da5451846bca7460862072908f804639431
MD5 a44b4070f6dd027c27713a94c05013e7
BLAKE2b-256 ca0420c3d6a423bb6bce71cf3b254af5abb601db3076e676d4216bffdd4a443a

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for mgrs-1.5.0-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 06c02a5d5bf8b0e58bedd9f216bc3cc63b49db5b302f3982a5f8f80d2d4c60de
MD5 8e93456f8e5a5cc37e391bb072c4443e
BLAKE2b-256 1dd53dbc98e74b1b5892907b3be7dd8c76b6ddd141db53d158b91f824b409238

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for mgrs-1.5.0-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 bfa656b865224552c738486629a117f76e20ab0e309d87fa8c94a4f96b8bf555
MD5 9e700c7777d9f721648a88375db7dd06
BLAKE2b-256 2862a62d73338b74c3e3d5e921d10136c5b1f8476ea613bc5369db8035194b12

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for mgrs-1.5.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 785e50655360fc14de732591d53479144c2b980bb1f1d8e3130969e7bda28ff2
MD5 57ed11a509e89123d7a28f5d223f9a39
BLAKE2b-256 3881549d72d039a57be0a14fe556f6cf670251a703a00aca9f83b64e4910086d

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: mgrs-1.5.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 60.0 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for mgrs-1.5.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 22d075cf819e56add1be240774399da29ab51d1b2a636290b0e980890ae3922e
MD5 7337ea62c0e2c2b7d43c9666b66c2424
BLAKE2b-256 22341c31b8beea27851383d24d48d19fd1944d223d9cbbb2f2f125f05f015fcc

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-cp39-cp39-win32.whl.

File metadata

  • Download URL: mgrs-1.5.0-cp39-cp39-win32.whl
  • Upload date:
  • Size: 57.9 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for mgrs-1.5.0-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 375946a1c233ef63a2a35caeed3128c37c3820f803341063931193f2bf77d40a
MD5 ebbafafa32ea1ddde54ccd8205fed59c
BLAKE2b-256 04c4390c52f8912e06805c5483ff6c54b96d906035cedfe8c356aa71b5f292c1

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-cp39-cp39-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for mgrs-1.5.0-cp39-cp39-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 dea082e783b2c3dfbf933b44f15ac9d6937343c83345ef57bd83bd3d28a3093b
MD5 37edcd61768230ffc4091141f0d2b748
BLAKE2b-256 7f0d14e7b6220287621d93027c390dd40da6727201d980f511105c91e2ea3e58

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-cp39-cp39-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for mgrs-1.5.0-cp39-cp39-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 bf7c82229b95a9be034bf21a946db51c1764354763a308fdd425c5d57f9a2c8a
MD5 f13d350e1a3eb1627aa02c0461c655e8
BLAKE2b-256 2d357a672f2afbf0eacbc0b09504091e68e9dcd390a50a5ec9957a61b38dae3b

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for mgrs-1.5.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a4664a4e14f2edc7273108e547aa74048adde6f3264b350be503b7936d35e9f2
MD5 4ed5fa649843c4e71a840ef6c28a956b
BLAKE2b-256 509d520110a8de3071043b069cb171d9a8801455f09659736b17409b06c1994b

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for mgrs-1.5.0-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 c923d4efc6e8003338727b4f35956879e7511fdb481634bd5a311dc5b4bc31c4
MD5 feab415a93568e5a94d58e23f631d588
BLAKE2b-256 f86c0f029b9248e3939d403c21a95fbb25fd7fe376d872c981821c392183dbb4

See more details on using hashes here.

File details

Details for the file mgrs-1.5.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for mgrs-1.5.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 fd9d00933464ab69316df4266c19564e95f9681334ebcd71d45ad915c6bd70de
MD5 8593b4dacefee18f4f8fa0b1329df886
BLAKE2b-256 fec164d07c7a373be89bdffa13b30ee464f2c94cce6d5ca6d4acf3ae65e7506b

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