Skip to main content

Astronomical source extraction and photometry library

Project description

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

sep-1.2.1.tar.gz (72.5 kB view details)

Uploaded Source

Built Distributions

sep-1.2.1-cp310-cp310-win_amd64.whl (195.9 kB view details)

Uploaded CPython 3.10 Windows x86-64

sep-1.2.1-cp310-cp310-win32.whl (162.0 kB view details)

Uploaded CPython 3.10 Windows x86

sep-1.2.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

sep-1.2.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.2 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

sep-1.2.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (1.1 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

sep-1.2.1-cp310-cp310-macosx_11_0_arm64.whl (228.0 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

sep-1.2.1-cp310-cp310-macosx_10_9_x86_64.whl (279.1 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

sep-1.2.1-cp310-cp310-macosx_10_9_universal2.whl (506.2 kB view details)

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

sep-1.2.1-cp39-cp39-win_amd64.whl (200.5 kB view details)

Uploaded CPython 3.9 Windows x86-64

sep-1.2.1-cp39-cp39-win32.whl (166.6 kB view details)

Uploaded CPython 3.9 Windows x86

sep-1.2.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

sep-1.2.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.2 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

sep-1.2.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (1.1 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

sep-1.2.1-cp39-cp39-macosx_11_0_arm64.whl (230.1 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

sep-1.2.1-cp39-cp39-macosx_10_9_x86_64.whl (281.9 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

sep-1.2.1-cp39-cp39-macosx_10_9_universal2.whl (511.2 kB view details)

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

sep-1.2.1-cp38-cp38-win_amd64.whl (200.8 kB view details)

Uploaded CPython 3.8 Windows x86-64

sep-1.2.1-cp38-cp38-win32.whl (167.1 kB view details)

Uploaded CPython 3.8 Windows x86

sep-1.2.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

sep-1.2.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.2 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

sep-1.2.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (1.2 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

sep-1.2.1-cp38-cp38-macosx_11_0_arm64.whl (218.0 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

sep-1.2.1-cp38-cp38-macosx_10_9_x86_64.whl (268.0 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

sep-1.2.1-cp38-cp38-macosx_10_9_universal2.whl (484.8 kB view details)

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

sep-1.2.1-cp37-cp37m-win_amd64.whl (195.2 kB view details)

Uploaded CPython 3.7m Windows x86-64

sep-1.2.1-cp37-cp37m-win32.whl (163.2 kB view details)

Uploaded CPython 3.7m Windows x86

sep-1.2.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

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

sep-1.2.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.1 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

sep-1.2.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (1.1 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

sep-1.2.1-cp37-cp37m-macosx_10_9_x86_64.whl (267.0 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

sep-1.2.1-cp36-cp36m-win_amd64.whl (206.7 kB view details)

Uploaded CPython 3.6m Windows x86-64

sep-1.2.1-cp36-cp36m-win32.whl (170.6 kB view details)

Uploaded CPython 3.6m Windows x86

sep-1.2.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

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

sep-1.2.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.1 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ ARM64

sep-1.2.1-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (1.1 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

sep-1.2.1-cp36-cp36m-macosx_10_9_x86_64.whl (264.6 kB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file sep-1.2.1.tar.gz.

File metadata

  • Download URL: sep-1.2.1.tar.gz
  • Upload date:
  • Size: 72.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.13

File hashes

Hashes for sep-1.2.1.tar.gz
Algorithm Hash digest
SHA256 1b6a36a554b3b315a9a96d19159f1ae39d9dad75bef510b1dc084c5aa9a4489b
MD5 265aae95bac41ea47eba01cf950bef8c
BLAKE2b-256 836e62caef7d690fcebb6192d454135e1bd7a4479c202bea0cd104833944f141

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: sep-1.2.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 195.9 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.13

File hashes

Hashes for sep-1.2.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 4d5c4431ed676a8916b748fa0dcce84532ad6c0028a957269dfe066f7bbe0cdd
MD5 abd9a6fce3fb930769c1e6a2f6adf38e
BLAKE2b-256 e3ef4e98e42f85b53f667bac12c0a2266fb86e14579864266ce79ad229c88c26

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp310-cp310-win32.whl.

File metadata

  • Download URL: sep-1.2.1-cp310-cp310-win32.whl
  • Upload date:
  • Size: 162.0 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.13

File hashes

Hashes for sep-1.2.1-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 87d8003c9a78d2e7f9e9b6eda66f2936e706496a9bd8543b3a7eeed68b75394b
MD5 2dea354c0948f74e7e853f08d8bfa9e0
BLAKE2b-256 8e75ec04456cd84159a8ce4bcdb3e4f63b786ef8873e3969f15d6274326dfc03

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for sep-1.2.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3983ba16f89172aa81967fdceb362efc709d1ca909ff0dceefdc194ebc45817c
MD5 227967ad108ace609b52ae84dd87b050
BLAKE2b-256 154e335bae0d8212b9f6932f0f8e770e4f9dd55ce4376b7bfd392c1e3c1ae8a3

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for sep-1.2.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 501600d7ac027f7249675340d04e312b007c31026a3a8572ab77c4037888a928
MD5 65dfcbd69055b711f304a7236809a775
BLAKE2b-256 4593b69ba51abba6a0f70f9ecbe99be503ccf680f47a7a380fcf22b0884cef9e

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for sep-1.2.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 f9a726c488364882c8a1625e333b17f15d18e5b6c4c747386fc6a77854ae0eaf
MD5 2e77f4e2552a422fc2255982c5e20166
BLAKE2b-256 2fe6ac82b0329a3b8cfd3a29a0b9e1df955d641347de1558066cfea9a604754e

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for sep-1.2.1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 0f5650a120f0e5c6c2be04cba87f5fb2ba46256c72a4b2cf90a39bb21ee871f3
MD5 f93b24a6093da4a8b8742740b58c4d18
BLAKE2b-256 b754a93632b2d11f02bf65ccfeee2d194378c0c6a8ad8f98d3adfcc089400d6f

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for sep-1.2.1-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 93d2b9e30ab3f4abc7ebf005221285a641aad4ee22e41e7309b59b4a8b173d14
MD5 c7704d5a90ed996d403bd3f52171750a
BLAKE2b-256 58232d36789f376a975449c51e11d8dda7e29a3148e16e810b22dfa6a8bfdb89

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for sep-1.2.1-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 b8253cc1c078ee98b007023edbd9ae2602586dc6b44e225339160509d687df64
MD5 3ba4f3ca130b0368b8f67413691bbeb2
BLAKE2b-256 c1ef87d8ed2c21013e5c343daac2fe198052bdf4680dbf170d1a22ac1f520243

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: sep-1.2.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 200.5 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.13

File hashes

Hashes for sep-1.2.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 852cbd83a2f56ae63f32c9e01b756d407497a36f85d8b27407b27fb6e9d7fdac
MD5 16ba8c01fb593fdccaf16639578a2273
BLAKE2b-256 ebbd8ec25eb2e7c2f0d1239f948a3832225927760a1b57ab48106a31dc1d9073

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp39-cp39-win32.whl.

File metadata

  • Download URL: sep-1.2.1-cp39-cp39-win32.whl
  • Upload date:
  • Size: 166.6 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.13

File hashes

Hashes for sep-1.2.1-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 2b4e6c2dc29dd2640bc9a940109a2ea14bb99ff6b9f837fb1abb0f777b542515
MD5 fe0479975965bac800c3cadf34b1bb52
BLAKE2b-256 9673f614870ba1cc850cdfc4a72a311ff139169329a59ef2f8a30cba17dfc2b1

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for sep-1.2.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3c7587ef1d438c830ae138649ba05d30a179614d2960c9d4cabe592718759843
MD5 438cf5e0342c130a7533c19c96cc8054
BLAKE2b-256 1977f39801e6060497ad050989e7231f177f67cbf5edd4bb54278b427d1e2dd4

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for sep-1.2.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 3a7c0b92870562a3f9d16d3b28eab200d9d19cbc4520ee18174883d126a8edf3
MD5 885bafb3bdb94063976376df4c36c628
BLAKE2b-256 1ba84359bedc3f4aa2d8752267e905383e9fb748e81fcb49bfcefad179aaeba7

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for sep-1.2.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 49d03e8deaed458d563622520bb29cf1e80ebd8c64dab0c04cc116e14b6101b5
MD5 5309d49b0ece20cf30c4c342a3aea8e5
BLAKE2b-256 dc50e684d6ea073fb7733e3e730dce6426dc671fd6b6dc33836e697a2dd413bd

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for sep-1.2.1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 3f04065e02e76ceb81a15a9ca7f85794a7691fdec1e602e4505b8045c185e19e
MD5 361acae8007b34708b10ea5b133d6076
BLAKE2b-256 1605e0251cb0f872f1b4e9ec469637c852a88333dcb9e689ec6f42da5782747f

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for sep-1.2.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 cd9438d92318557eeb4df4f56e6d579914438ca95745dab26d731dc269d5f541
MD5 f1130cad9b6c249b35c265c1bb8ae3d0
BLAKE2b-256 dca00cced6b8b1e58b7e83464728a12a2376665799879295c386ed05b86107b9

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for sep-1.2.1-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 519ea02b0dd6ad6379da468829368e123555e833839ec7f86722f69254e92d19
MD5 70815c6ff5ec24d4d594c9f13b5bb381
BLAKE2b-256 1e19537203d3282937652ed011837ff80e4f620bf3f8569c444ef5626fd9e591

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: sep-1.2.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 200.8 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.13

File hashes

Hashes for sep-1.2.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 d43606c462d7bdb40e53c4a40d0e9f7695558d020679808c900440083932bec2
MD5 a1308426e73a158f0bdab5756b2f47be
BLAKE2b-256 236d49ec926a8168424fb2320570cba94cd8b80b9dfb309467bb397b1a16f162

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp38-cp38-win32.whl.

File metadata

  • Download URL: sep-1.2.1-cp38-cp38-win32.whl
  • Upload date:
  • Size: 167.1 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.13

File hashes

Hashes for sep-1.2.1-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 da32d2473cbb506f822b67c94eedcc2ed8dfa3a90b4d60561a7f6b639281c344
MD5 fed6869656622e8eb60379b65ab1bb6c
BLAKE2b-256 1dc1cae959b4b76e37fd5854725a125d7c6b1ee9589388c29a021be5fd30dd21

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for sep-1.2.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4eca3045a04aaa238b468fc07230b38b485ef551423f43df2c0124ded105bb93
MD5 bd28d58b46d95ce3fedd547df0027105
BLAKE2b-256 a126d2afe217e86c444e59d5fce139b790e52777f5b34fcb2332b93cfc08d91c

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for sep-1.2.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 81ff6ab51845b1c76d73354a825c6403d82cce1abe602b8ae17429279870b612
MD5 28a281086e15f6a5667ed03fd075ee55
BLAKE2b-256 f0e002bb19c4a956debb112118b10e9b4dc09625943fcfc5d4b548fdc8bcd0ea

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for sep-1.2.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 904bc369ff716d7302684572e40f38ea052bf97aeb4c1a7a8e645037ad5dfd5f
MD5 0791e8bfdea5721477f6eb73e4b98e54
BLAKE2b-256 9330c756e24052d9f11c694068760826ab7169e22f43ebc3b97be5ffc41de99a

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for sep-1.2.1-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f6d6254230e48339ade4ae378e58236db1b1f4b8b2113e0d480b31bd8784b901
MD5 c49df189050a533853e76a7d94ca7565
BLAKE2b-256 28bc9b450b97425963cc4fa8b02f6161001d3c4f34008a765c23eb8fc8351948

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for sep-1.2.1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 778edb14e1c4b392bca449f8c7bdc2df5e8874d8803032266d12248b02714cd4
MD5 a60d4f1fbfd5af2e91d0f69efe6260c1
BLAKE2b-256 c4f5c9c0863ee3a8781154e7f76e76b456a8f0c357b8f1daf81ecb19e21781d1

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp38-cp38-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for sep-1.2.1-cp38-cp38-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 6f478ee397dfb1bdbe4dab328cea9003c22a6a3f36be0f05d1ff7915370661cd
MD5 5325b2b88980c888772f62f5ccb9e707
BLAKE2b-256 ed11ade12c861f79adad0beab267ce222dcfcf0529d9def2a6ce2166edc5772c

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: sep-1.2.1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 195.2 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.13

File hashes

Hashes for sep-1.2.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 ff16e041fd9783582bcca1858e2738a04371ed669a9ce7285fe12059d3a7d0b3
MD5 ad40c9e652605385f5f0db5a1e997b04
BLAKE2b-256 311d7b4d3124c5b187282a84c1d07cda1cdaa996ba901bd3a8eeffcef774cae1

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp37-cp37m-win32.whl.

File metadata

  • Download URL: sep-1.2.1-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 163.2 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.13

File hashes

Hashes for sep-1.2.1-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 1d08e741ca917da37c43ec3a88a21a84809e0f95ae628aa969d19533e72bc85b
MD5 9aefa43ab75f4001a2dd18d329ecc8d5
BLAKE2b-256 6285272389f79dde7faa747e1930ed71273f54eeb48b4aa66d20252ae983df07

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for sep-1.2.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0e51dc4ba0652976a83622605105f86df3d453618db907880b2254545e2f300e
MD5 609686047651181535b7ba8fe8459578
BLAKE2b-256 d8d33e9d611e92246494e5e91dff43ccf329c7ade9d19589079dded69fa169ad

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for sep-1.2.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 75f0fcd52a2e8146c906b6f86564d06c4a112dd46afd7675a02cb89e3cc72fb3
MD5 8fcd3d8ba7f6a8711f2889798dddaa91
BLAKE2b-256 9e992a44dc5c9c783d4c6b3f5cf1f2f31548d3c5a4797a99996eb5d8f2e485ed

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for sep-1.2.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 bdebdc1b0e0d09114cf6711944b08b5a52579f335047ad94747384092f47a32a
MD5 a312134eae18314563d97bfcfce49c18
BLAKE2b-256 48b2e927d582514cee1739a1558ffafe61b6b68376ac49ec9081fc6cbd7bd94f

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for sep-1.2.1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a18c9821845b94656b17de937604f68c76cf7511b3d3784732ff7e5be236d15b
MD5 e0f4beca7eb7531c9f01c7926c488092
BLAKE2b-256 548465fd28db49dd349bda8ca4f265fd26bc4e79ca60b4db123f481df31a2b2a

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: sep-1.2.1-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 206.7 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.13

File hashes

Hashes for sep-1.2.1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 61a209bdc762bdaa2bd4cdb197992a4e5b55a4649622d02e4fc672a43022cccf
MD5 25d78253946214756e29efe15620f667
BLAKE2b-256 8cd970838291df1ef637b37f9e69034859972d90715e5f28b717d2d89121d8e0

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp36-cp36m-win32.whl.

File metadata

  • Download URL: sep-1.2.1-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 170.6 kB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.13

File hashes

Hashes for sep-1.2.1-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 809acc721b97c7d6a9033d7590e35f84c3a006fc51567c99419e8e94cd40866e
MD5 009bbcb6bd80505263d901b64183bcbd
BLAKE2b-256 b98cde4907ac60e6232ad46d289aca3c522a278a89b3d8f40842e5c4d470ac40

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for sep-1.2.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5eb6ff6ad8d592aaa105cb321ebba3a9c2f31108a91b5789cfb614d3225d9c16
MD5 38dcac604760c0ea6cee90544f95b9b3
BLAKE2b-256 94c3d2517c8319ab5a7521f397c6a8542aea46ecfd54359d509dc62b6635e6b9

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for sep-1.2.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 fb32fa39696a20841e8c6768d36f67bf450c849b93be14ba830e1d71a4f7123d
MD5 478c0fd4ce5efec0c25c632c507cf670
BLAKE2b-256 5e8b05559e98e0a4c06f462d638a9d12fbfefb7e1904b74bbd6303ee3ff1d15b

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for sep-1.2.1-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 b3b16d7953dc17c06fae4bdde364ea0fa672b530feb4a57f487fa3984fde3294
MD5 ff7d3b602f3604c8bd7cb9c17f94d8a3
BLAKE2b-256 2caf1bcf21f59dce31f011c213ea06f5d9a5e510ae2a022ed3287d57e923431c

See more details on using hashes here.

File details

Details for the file sep-1.2.1-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for sep-1.2.1-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0292f0794ebbd3acd5f152d04b8e883a99ed34bdf3c443310f42aa613e09525b
MD5 ab819a073663c2d93c6302ed8b748128
BLAKE2b-256 b1c2bf8215e85da11309586db5c107589d4f2f8deb95f4a2aef933c7055c71df

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