KVH format reader/writer

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for sgsokol from gravatar.com sgsokol

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v2 or later (GPLv2+) (GNU General Public License v2 or later (GPLv2+))
  • Author: Serguei Sokol
  • Tags key-value, hierarchy
  • Requires: Python >=3.6
Classifiers

Project description

KVH format reader/writer

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for sgsokol from gravatar.com sgsokol

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v2 or later (GPLv2+) (GNU General Public License v2 or later (GPLv2+))
  • Author: Serguei Sokol
  • Tags key-value, hierarchy
  • Requires: Python >=3.6
Classifiers

Release history Release notifications | RSS feed

0.3.7

0.3.6

0.3.4

This version

0.3.2

0.3.1

0.3

Download files

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

Source Distribution

kvh-0.3.2.tar.gz (18.6 kB view details)

Uploaded Source

Built Distributions

kvh-0.3.2-pp39-pypy39_pp73-win_amd64.whl (98.4 kB view details)

Uploaded PyPy Windows x86-64

kvh-0.3.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (118.4 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

kvh-0.3.2-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (124.4 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

kvh-0.3.2-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (93.1 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

kvh-0.3.2-pp38-pypy38_pp73-win_amd64.whl (98.3 kB view details)

Uploaded PyPy Windows x86-64

kvh-0.3.2-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (118.5 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

kvh-0.3.2-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (124.3 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

kvh-0.3.2-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (93.1 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

kvh-0.3.2-pp37-pypy37_pp73-win_amd64.whl (98.3 kB view details)

Uploaded PyPy Windows x86-64

kvh-0.3.2-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (119.2 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

kvh-0.3.2-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (125.3 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

kvh-0.3.2-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (93.1 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

kvh-0.3.2-cp311-cp311-win_amd64.whl (98.8 kB view details)

Uploaded CPython 3.11 Windows x86-64

kvh-0.3.2-cp311-cp311-win32.whl (87.7 kB view details)

Uploaded CPython 3.11 Windows x86

kvh-0.3.2-cp311-cp311-musllinux_1_1_x86_64.whl (642.0 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

kvh-0.3.2-cp311-cp311-musllinux_1_1_i686.whl (699.9 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ i686

kvh-0.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (123.9 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

kvh-0.3.2-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (129.4 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686

kvh-0.3.2-cp311-cp311-macosx_10_9_x86_64.whl (94.1 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

kvh-0.3.2-cp311-cp311-macosx_10_9_universal2.whl (167.5 kB view details)

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

kvh-0.3.2-cp310-cp310-win_amd64.whl (98.6 kB view details)

Uploaded CPython 3.10 Windows x86-64

kvh-0.3.2-cp310-cp310-win32.whl (87.7 kB view details)

Uploaded CPython 3.10 Windows x86

kvh-0.3.2-cp310-cp310-musllinux_1_1_x86_64.whl (642.0 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

kvh-0.3.2-cp310-cp310-musllinux_1_1_i686.whl (699.9 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ i686

kvh-0.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (123.9 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

kvh-0.3.2-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (129.4 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

kvh-0.3.2-cp310-cp310-macosx_10_9_x86_64.whl (94.1 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

kvh-0.3.2-cp310-cp310-macosx_10_9_universal2.whl (167.5 kB view details)

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

kvh-0.3.2-cp39-cp39-win_amd64.whl (98.8 kB view details)

Uploaded CPython 3.9 Windows x86-64

kvh-0.3.2-cp39-cp39-win32.whl (87.8 kB view details)

Uploaded CPython 3.9 Windows x86

kvh-0.3.2-cp39-cp39-musllinux_1_1_x86_64.whl (642.1 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

kvh-0.3.2-cp39-cp39-musllinux_1_1_i686.whl (700.7 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ i686

kvh-0.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (124.1 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

kvh-0.3.2-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (129.5 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

kvh-0.3.2-cp39-cp39-macosx_10_9_x86_64.whl (94.3 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

kvh-0.3.2-cp39-cp39-macosx_10_9_universal2.whl (167.7 kB view details)

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

kvh-0.3.2-cp38-cp38-win_amd64.whl (98.5 kB view details)

Uploaded CPython 3.8 Windows x86-64

kvh-0.3.2-cp38-cp38-win32.whl (87.6 kB view details)

Uploaded CPython 3.8 Windows x86

kvh-0.3.2-cp38-cp38-musllinux_1_1_x86_64.whl (642.0 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

kvh-0.3.2-cp38-cp38-musllinux_1_1_i686.whl (700.5 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ i686

kvh-0.3.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (123.8 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

kvh-0.3.2-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (129.3 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

kvh-0.3.2-cp38-cp38-macosx_10_9_x86_64.whl (94.1 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

kvh-0.3.2-cp38-cp38-macosx_10_9_universal2.whl (167.5 kB view details)

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

kvh-0.3.2-cp37-cp37m-win_amd64.whl (99.3 kB view details)

Uploaded CPython 3.7m Windows x86-64

kvh-0.3.2-cp37-cp37m-win32.whl (88.5 kB view details)

Uploaded CPython 3.7m Windows x86

kvh-0.3.2-cp37-cp37m-musllinux_1_1_x86_64.whl (644.3 kB view details)

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

kvh-0.3.2-cp37-cp37m-musllinux_1_1_i686.whl (703.6 kB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ i686

kvh-0.3.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (124.3 kB view details)

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

kvh-0.3.2-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (130.8 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686

kvh-0.3.2-cp37-cp37m-macosx_10_9_x86_64.whl (93.7 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

kvh-0.3.2-cp36-cp36m-win_amd64.whl (100.6 kB view details)

Uploaded CPython 3.6m Windows x86-64

kvh-0.3.2-cp36-cp36m-win32.whl (89.3 kB view details)

Uploaded CPython 3.6m Windows x86

kvh-0.3.2-cp36-cp36m-musllinux_1_1_x86_64.whl (644.3 kB view details)

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

kvh-0.3.2-cp36-cp36m-musllinux_1_1_i686.whl (703.9 kB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ i686

kvh-0.3.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (124.3 kB view details)

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

kvh-0.3.2-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl (130.6 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ i686

kvh-0.3.2-cp36-cp36m-macosx_10_9_x86_64.whl (93.7 kB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file kvh-0.3.2.tar.gz.

File metadata

  • Download URL: kvh-0.3.2.tar.gz
  • Upload date:
  • Size: 18.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for kvh-0.3.2.tar.gz
Algorithm Hash digest
SHA256 58c683f0c51aafb6d0139c59ecc288fca6bf7b4461ae11e6679973c24d85e81e
MD5 9c0c49c01773734b6593333615da5886
BLAKE2b-256 687ea430c1e6d474fae8fd6094703ebfac1294e920792164d7901959c42c85d2

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 43a21178f1e5a9160eda8212f6ef8cdf2af52f894078db20618e9f605628ab6c
MD5 b8281fee1b54f2c3e3b113eb431209ee
BLAKE2b-256 733659cbe07fd2502d2696f0a19c07a65ffcb925a49c1a13468416a423d5cef7

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e32905e6924716b370de16c698d0880b1d0bd47bf78cd8630f995982f232f54d
MD5 17a9d14218fb1c8da9cf6f06d29d19ff
BLAKE2b-256 d515186887a446ae655055af8c046874a0378eeb6a0d1c90cad779fb9f10406d

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 d12d54adcf04a157fb9464b35242ef77e140f94ed85c7c5fffea33be81de8336
MD5 198f75b41f0eb308c499390462f5de6c
BLAKE2b-256 d1699e9ecb4943e05392d131372a8756b973651837f7df78f240b527945874da

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-pp39-pypy39_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e766e7beeca5d151399a564eed4ab209043dc1199da1a8b1eeab397704ee6bc8
MD5 944a106c8db12865a99dcf5049759123
BLAKE2b-256 968aa1b92fd6787952f5cfae1c1ae6e2667abe61e57fbc2db339ed1a1b3db977

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 95cbe38172f6d3c40c5885db0748a5304979e7db317e9c73571ca75552923755
MD5 4ec3c5f276372886487396a330fdf8b9
BLAKE2b-256 29dedb0c950e5ed778ecacb9b9b338dfa6e0016b45e9fab7d815575146df3039

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d253a5ad3465fde90734575a1b837545210e5d32a94741cb71cfceb9a6087c83
MD5 f8aae4e26b19a3b38370cbad2c141329
BLAKE2b-256 05164bfd05b1a11b0321be323b232eec7f4f6b1bbc72e6016c4c573353337a69

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 50c4ad566aeb2aad8b4e20aa9d5077fef5aef3ddac0db2535196c13847b6dac4
MD5 e580aedd484246b0eca50b112cfd6138
BLAKE2b-256 f445b824d4aa7341eb3c45d37b5294f49706cb6260585b87e49a0113cf8dfa68

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-pp38-pypy38_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b360a0ff9cece1f6dc1d3627af43748c4cadb223185b1bcda8f4609e86d892e7
MD5 ac69d7bf6b769a39d0d45b09d192a2a4
BLAKE2b-256 eb3ba82cf8a57ee5c938571d60d79271f1e2d39cbe28d4574b7462130fcd6df0

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-pp37-pypy37_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-pp37-pypy37_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 fd98f0732c827a22d17fa075fd970052ec033615d1a7887fb8a599272462401c
MD5 1016967f344542103ea0ba81426f65a4
BLAKE2b-256 4b5283e44bcc38e5640d49b3b912f1d8c29fa4bec0e2c3f00412a32a3aae3031

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0abd8d4af9e3a2c48295f15a3bdada947c813932d9f49c2c204ca1c2b04103bb
MD5 2583c39954e6eff7e6caeb90fb3a9a87
BLAKE2b-256 9bb71a0d3d11be8067d5292de6458a635ba11d1bb96a1ee79cf087a39d038d8c

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 5a731bfb8fcb9f333bbeb5581de4a149386bda96b43041826956950c25fc6134
MD5 a30d7776d57ed3c9e8af809722456659
BLAKE2b-256 d175d1f62525b7b015ee198fb7f30357d7fd868f4995e631ee1e7e76c94eb441

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-pp37-pypy37_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 5b3119351857813b2aad2f8fe2c97e92b075e0250564154d0a5f4001b53b4b60
MD5 72cdb3b684833e60e18ff2443c783478
BLAKE2b-256 22373a128f1cfd5c3a2afbdeea411a80b59153baeedfe897f55ecfb7e4356d01

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: kvh-0.3.2-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 98.8 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for kvh-0.3.2-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 478393b57497bff51c86da5d1882ed2d3473faf4eb5b091b20fee4adf5b6e52e
MD5 6a50a42c38e30ff495e50ec6d991d168
BLAKE2b-256 d38b6619a154f46715a040eea0f4c375528dcdc00513af3b35c9e95282deec00

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp311-cp311-win32.whl.

File metadata

  • Download URL: kvh-0.3.2-cp311-cp311-win32.whl
  • Upload date:
  • Size: 87.7 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for kvh-0.3.2-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 c60076b79046508856bcc970e9e696c4cbaa1560e446f89829ce18ad8c723c36
MD5 6f4cceb30ddf090ec422f4c952c4d564
BLAKE2b-256 66bbe471d8fd8cc883bb4839d6672ff8c23ec786e019ef557c55a0a0f52b4a8b

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 5322d75d1fb91c46621899d620924ee6a10bd250fe7c0a35d557f8fc4fa81e62
MD5 e59657c39868c1496bb7ca0bd6c2094c
BLAKE2b-256 bd14119e59f12bc76bf7492b38b81de5d9426fc8c736f718084d4d935e5e2f5c

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp311-cp311-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp311-cp311-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 664b70cfcb90302dfbb2cff658fc5f0d43eb693788621401ab8df27eeba5565f
MD5 80132b305526a6c6fdb5f2b1e5e94d55
BLAKE2b-256 4160bcd15b31da5bdd8db0b60a7c3df047381c4cba54d88ba94b0e1f38003568

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b51a97a6f8d1108e9be9dc9d96f328fcc4e1d5ac5383c5504f89ed8d8fcbc49b
MD5 7c6ad66405de009c22ea56af7422858c
BLAKE2b-256 ac8a69b35b5b7334778f97898718a46e8395fad6e9e51b4ecb9f4fe019ecca0f

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 8a673d3cb5cf3689a4a562e112bee3e78641ee5cbd119166dbbcfa089ae20862
MD5 48731aa6f482fe2b7287fb581447bc37
BLAKE2b-256 5d11e93d6315550104161986c7d002063366fd8f25bd5941bff46f272685f61d

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0c9f64152b80360067304eed478c4eb661984c95e6c833ce1d4139c9faaa5ee6
MD5 4e57893872ba2576d6cb97663ff384ae
BLAKE2b-256 fb6599d15c38ad16087345c396bb7613462f6e07c25854be9a5c31f3239bd7cd

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 faadaed467deb51a2c2e1671e90cd586f582315dea35f5accdf56bc46db694d0
MD5 85a0d093e735df77b0155b8e0f61cbe8
BLAKE2b-256 f1cb4ead3ae2d8857dbdf6a191f7b04cf8df4c44eac5a9bff109245712fb53d5

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: kvh-0.3.2-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 98.6 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for kvh-0.3.2-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 77da718dbe11a94cf3684b039bb639bb5411558837c41288bb8b3d229bdc7120
MD5 59a094929adcdf7cc44e802004c9a153
BLAKE2b-256 3f7b7cbbf5f29c53a68fc92eb42e738988fe7513a2a32e6f14c69bb4e072b261

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp310-cp310-win32.whl.

File metadata

  • Download URL: kvh-0.3.2-cp310-cp310-win32.whl
  • Upload date:
  • Size: 87.7 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for kvh-0.3.2-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 fae3d111fefbda6f103690f4108bb0a37873824d062ec79cb63f7104cd6aa330
MD5 f9da7d032212ceb85b760f556058cff2
BLAKE2b-256 ccd25627104d9af6a66f9661bc9e33929c0ca2502fdc472f0360c22bdebd13ff

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 6976b4f7834ee1140354d6da1966edb4b320baf7633bd7e5e860ca50b7df8d50
MD5 fe5807d55c745b3c7a14b04a3a4c704f
BLAKE2b-256 09602e01bdd82a92abf0bf66f30deed316ae902dae78da7509e3e6b92873d491

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 d42b300936e3a89aa3576c9d1b45b7db37e19b9340d6be84753c0f3af384a2e5
MD5 a3dd7ba3b14387b06ff20a6604fbd3ad
BLAKE2b-256 d4c26a330f217b78b2b4ca43ef82430f47bab980b8e8ceee384f6f290451e3a7

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9cccb9c17792650fef75e5bdf5870a35c29c0dd573239d314238dbc5d849c578
MD5 78499098425ed7efb4e869b77a999c37
BLAKE2b-256 df208439b4d329a9988af3ddd9101706f82ea3b6767d1654ab7b686c1ed606bb

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 a86f0d47f88dc200b311732721ee8499ba0f48c7431bffdfcee6cb59551122c1
MD5 af70bc4805f7a5ebd9f416f8464c978b
BLAKE2b-256 db77c96da8dc05f397cfbc023dd47949da0529378851504c08e899ef18185c16

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 05e997f57104f43611ada98e3a004d5fb4eb5de79f81537fb76b5f18b211a248
MD5 caa1dee1a46ceea7a8a9daa18941fbe8
BLAKE2b-256 834b0539ed7b283b532c383fab5be4cd4ce5ec444625bfeb92481a92c3e23144

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 3f32cde615ff6ee120b4da6f181977660afffe8bbac46d7ea9519335854a492d
MD5 7227f7c387983a29da348341a90616bd
BLAKE2b-256 c6cdf23739047e147de6ef91d3ee0fb21add326d6fd2642cb3ee086a5b0f8613

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: kvh-0.3.2-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 98.8 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for kvh-0.3.2-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 6a79d005116ca1d2d912513f64b6acc6942b05a33c7a5e754d8f1ca2cb169e7b
MD5 d3a57b3d5afeee82aceec6afc3dc700d
BLAKE2b-256 519d2445d41a896be6dedc0154842342cf05ed0d489f2d55118d70c63ed0dc03

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp39-cp39-win32.whl.

File metadata

  • Download URL: kvh-0.3.2-cp39-cp39-win32.whl
  • Upload date:
  • Size: 87.8 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for kvh-0.3.2-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 3bdec2201ccc0e8c21934c2132a4ac4f95d4da1c7378a3004e0bffb21be72890
MD5 c39536758a84b3c9a178d8ef06f2aae2
BLAKE2b-256 cd02ef917c930dfed961e304256a3be83940b8f717a0003fbdc36f8ab5d7b9fa

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 f109dfe978298973f990da77f1286e7ba30361a847ea4f05a7df7f8a64d2f09a
MD5 3ff149059b7682e0daa082d4296a75e1
BLAKE2b-256 8000cf5f270db086c103693a3371d9557911d4a782ae11a265e4bbb1269e3962

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

  • Download URL: kvh-0.3.2-cp39-cp39-musllinux_1_1_i686.whl
  • Upload date:
  • Size: 700.7 kB
  • Tags: CPython 3.9, musllinux: musl 1.1+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for kvh-0.3.2-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 22b384c76937cc157989d83099642acafecc8b654f93234f9fe2412b633a1554
MD5 d0ad081e92744526170ac22e56fe676a
BLAKE2b-256 262fd35cb847977de7413c5021e32c4891eb7544f0c48759969fb9b7ba0abd98

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 537b8d187cc8964d53e9880ec23de47f200da6931e3625ce3768d6962f83c1bb
MD5 d30b218306dd923e2000fcc54848b0b1
BLAKE2b-256 bc29ae2591780fe71c1b5ee94d6f6fb813665237f79d0f6b75572cf6a78ff2d4

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 bf0f9c8538b9d727deeb35849d2478c7ecdfb96572464732807ee5b1969214c7
MD5 611a4d5764a1e9ab72f8b9393ce2f24e
BLAKE2b-256 3af325fef9baa3d0787d9769a93fdf451a1221a570229f9766215eeaadd15570

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 9b066a6d043e5cb0fc3f15e322f461ce4f7fbac4876db988e82eb5dc1ca1e34b
MD5 09ca13779735a8ed44d4c9920c73f44c
BLAKE2b-256 f51eda7cde6483753e0e512a561374f6a13e2049cf5a00212a019e3fe2178141

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 caf8a3fb511de006bba0304c36b6cc8d7347852e76c913fc38110d78c07fcfe2
MD5 4dca46418dbf36f7930644fabee5ff2a
BLAKE2b-256 1e535abfa2193777d7938c3109854ed9b660fdbfe11bf1727dfaceb209947ea9

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: kvh-0.3.2-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 98.5 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for kvh-0.3.2-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 28360534eadaf7785c9ea881439160d0e1820d88abe3d6e5b1562971339ab436
MD5 2d0fbfb476a5d620a598da7fabb05974
BLAKE2b-256 ae6d491c4c456e3723588ba0a756b137be1910ff4389b5624fde7f52af93fee6

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp38-cp38-win32.whl.

File metadata

  • Download URL: kvh-0.3.2-cp38-cp38-win32.whl
  • Upload date:
  • Size: 87.6 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for kvh-0.3.2-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 88f073146b70dc1a687217ff5d45200b7ac6eaf072b75c13537f3b322c989ee9
MD5 945abd77278d3f37df5402de4d3fdea9
BLAKE2b-256 6fba8f4b2ca0c8f74ac906b1c8f6a881db7e3e90588ed5ab5638bf0e2dbbbdb1

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 ea35f636f4a83730cadccb81bc2b69ce73ec4e64ab67b15ffb91ae83a1d265e6
MD5 539ab1ae18015929f69b2ceacc6401c4
BLAKE2b-256 1e26192ecec03fd751e088f46b34e7441da2bd951450dd93d22482917d2a1634

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

  • Download URL: kvh-0.3.2-cp38-cp38-musllinux_1_1_i686.whl
  • Upload date:
  • Size: 700.5 kB
  • Tags: CPython 3.8, musllinux: musl 1.1+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for kvh-0.3.2-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 20d992be26229adc23ebc1040bd09b659648b5be98d8ffdeb13f317e07363bf0
MD5 d64b7a15b4be612887f665de61c33375
BLAKE2b-256 537ddc4b13b37163d2668cf7f52887d2c20bca2d5ab3fbaf6a8781f4559b42c7

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9f5e1607e5aea4a25ba83dcfc34d844377c9cbc5536749c2517403eb595534f6
MD5 c20f7555c320f8b0351eea79c94c7637
BLAKE2b-256 e29e23605313383088a4bea43a3a828e8ffd4b4a18a666a93c2e0721cd0aa967

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 f9f53cd6e5a4147bf0d07f779acf2f2b3128e30724015a6cc8263664ffefa423
MD5 634910f85fdde6e1c96af33bab7aefde
BLAKE2b-256 dcfe9b86b37785f1d0eb00e1ec1785119dcd96606abd348ea01c456b4785d96a

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 220b3e13363208dc5d5bb20d4b1b89d112251cc06a7002426038a14e51fd3910
MD5 cc4687a5a5835b4d7bede485f03f88d8
BLAKE2b-256 c55a710c8b114407393bf01b4f2142c45bd767ca0df32141fbfdb6f8078ef84a

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp38-cp38-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp38-cp38-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 e4e0aff92b6b1c3f6cc973a53082cad81b4fea9a2db3ce98ae9a49a5fa157bf6
MD5 e04be7522dde49de4b1c1cc3717d664c
BLAKE2b-256 5497119bd3a3239261901cc2feac53c93009f362ee60f31467025c124e6dbc58

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: kvh-0.3.2-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 99.3 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for kvh-0.3.2-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 552ac1d77859a451ea8101fcc4b6abe6111414531c0d70934b0b2ac1008a08bf
MD5 93fc7bc4f013065f6b3db200cb89649b
BLAKE2b-256 d1fe5ab7edcf31fc73ee9c168b6edd8d493d1ce0a3d90bb733ae33d9f4ae00ea

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp37-cp37m-win32.whl.

File metadata

  • Download URL: kvh-0.3.2-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 88.5 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for kvh-0.3.2-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 bd95a998351f2507bdc8e9950c3ffd0fec3220dc83d6be921896f0c7a2a7812d
MD5 20a138475fe61c874ea5021dcd0bace7
BLAKE2b-256 f9413fc3f495450a7eaeaae7ae2c3dfcd516c684881caaac7c5c9b3d10ec3e76

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 817fdddb9c998b8ce5ff3156cbcb109c539b1880d8e4e93bbdf0437bda3a3b7e
MD5 a42f7bcea6e740a83df74351bc514fc7
BLAKE2b-256 a85c521d0353faebf93ba25e3181dcc3085602bdedef2c03e3579cc08007cded

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp37-cp37m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 dee9fd6a0acf5015a88a5cac96741621125f88415ecb94a856c51275c51ee048
MD5 8d08028106f3f77776f64d67819dc90b
BLAKE2b-256 ee0d7037f6a77bd951e5d76f6d31917992be895ea11073f587b926bc1c7ec105

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 93df7202810ab9f6bc8ac7cb8e45433947bae177c0d92a26ac2c255599bd420d
MD5 c84287ab26b27ba4560365e8a17e42f3
BLAKE2b-256 4d27b4bc590095e0e3cd4516e0150cff3928f904a2f7eaa6c0c5661668caf8a7

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 2d63eadf4c8ecb01727a08b86b77d139bbb23072a6eb87fc9bb219720cc74f27
MD5 097efc2031362a43fc95894569dfeaf2
BLAKE2b-256 a72634f5a086e28f86162d664a6a522d421e177158bd33275e82b99deba28c35

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 690b43ebe834ae8252b574b1220f83df0b0469fd7a8e733400435a723ffd28dc
MD5 67a61a6d323d8eb8b22012cff6614760
BLAKE2b-256 01041be58f2b093f471442245c77747758834f22e5a95a3d6108a96c79457c9e

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: kvh-0.3.2-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 100.6 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for kvh-0.3.2-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 1d4c407bf240d558ff0639efb1d0532574e7b717d497434794dbe904ce0e3421
MD5 be9c5ef84b826a30cfb8878274cb8695
BLAKE2b-256 8a740c61204c289ff91f279ecdd331366584a84b109b8fa4c6125b4106ec8e30

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp36-cp36m-win32.whl.

File metadata

  • Download URL: kvh-0.3.2-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 89.3 kB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for kvh-0.3.2-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 6811e2e6236def1c166c469ea068e52725e64c2e351205da435068cb95959ea6
MD5 6dbca8ee67896a5ef56527a327b43304
BLAKE2b-256 4166252d71953884df057e158bdcc9028f0cee3a1c10c2b99060080fc98cde28

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp36-cp36m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp36-cp36m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 63483803cb25f3c6b5b7239e4b0561686587ab81945cac754a067ffc1b958497
MD5 40dcb9953aa8c532ef17ff014f5f63f3
BLAKE2b-256 13fba5e4d242da8b32565b5a879ebf53cf503055cf2f80b1e1ce0808bfb11b4f

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp36-cp36m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp36-cp36m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 9b4876e6f5a78b77889be78426613b1c3f2513ca53f65ab8708fbe195a90bdde
MD5 c97e3e22f2351ec1930c5d1080b9151c
BLAKE2b-256 b2cdbddc4920f039a1c1b1a0cdad0491679358f5079041f74ffed815196e5b57

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7812254312640061c6f8c250ffd37c7bd61cfe2422b35bf95f9a42c915afb88b
MD5 6171e5673c2149b7d47603ec08014077
BLAKE2b-256 3ff3c880b781d17f08ff40c79595627bff7fed2550b77a5fcdfd889e261bdf83

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 d8acedb034ec24d0edb14bb24b2998f6ef82266282022ea17c3bb9e07e4cf4fd
MD5 02a76ef68f80aa8c9926540cc23bab11
BLAKE2b-256 02112a8b977635130eb8f291f51d782b263813a5adfc3bd94b72e6fd93fe6019

See more details on using hashes here.

File details

Details for the file kvh-0.3.2-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for kvh-0.3.2-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 c88366f7172c67e41d1f545fbe5beaf0cea9bac2b26ca6e71adbd91d59ad51e9
MD5 c196c329b61f14b33dd7be2d74365410
BLAKE2b-256 50231b8c52af36813556a67514dbe18d1481815cc3cd8ad42b111cbc805d0c07

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