Skip to main content

High dimensional precision matrix estimation with a known graphical structure

Project description

The author of this package has not provided a 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 Distributions

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

Built Distributions

GraphSPME-0.0.1-pp38-pypy38_pp73-win_amd64.whl (143.8 kB view details)

Uploaded PyPy Windows x86-64

GraphSPME-0.0.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (174.0 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

GraphSPME-0.0.1-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (178.9 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

GraphSPME-0.0.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (167.9 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

GraphSPME-0.0.1-pp37-pypy37_pp73-win_amd64.whl (143.8 kB view details)

Uploaded PyPy Windows x86-64

GraphSPME-0.0.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (174.0 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

GraphSPME-0.0.1-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (179.1 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

GraphSPME-0.0.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (167.9 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

GraphSPME-0.0.1-cp310-cp310-win_amd64.whl (144.1 kB view details)

Uploaded CPython 3.10 Windows x86-64

GraphSPME-0.0.1-cp310-cp310-win32.whl (124.6 kB view details)

Uploaded CPython 3.10 Windows x86

GraphSPME-0.0.1-cp310-cp310-musllinux_1_1_x86_64.whl (714.2 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

GraphSPME-0.0.1-cp310-cp310-musllinux_1_1_i686.whl (746.4 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ i686

GraphSPME-0.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (190.2 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

GraphSPME-0.0.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (196.5 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

GraphSPME-0.0.1-cp310-cp310-macosx_10_9_x86_64.whl (176.9 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

GraphSPME-0.0.1-cp310-cp310-macosx_10_9_universal2.whl (320.6 kB view details)

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

GraphSPME-0.0.1-cp39-cp39-win_amd64.whl (144.1 kB view details)

Uploaded CPython 3.9 Windows x86-64

GraphSPME-0.0.1-cp39-cp39-win32.whl (124.7 kB view details)

Uploaded CPython 3.9 Windows x86

GraphSPME-0.0.1-cp39-cp39-musllinux_1_1_x86_64.whl (714.4 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

GraphSPME-0.0.1-cp39-cp39-musllinux_1_1_i686.whl (746.8 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ i686

GraphSPME-0.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (190.3 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

GraphSPME-0.0.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (196.8 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

GraphSPME-0.0.1-cp39-cp39-macosx_10_9_x86_64.whl (177.0 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

GraphSPME-0.0.1-cp39-cp39-macosx_10_9_universal2.whl (320.9 kB view details)

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

GraphSPME-0.0.1-cp38-cp38-win_amd64.whl (144.1 kB view details)

Uploaded CPython 3.8 Windows x86-64

GraphSPME-0.0.1-cp38-cp38-win32.whl (124.6 kB view details)

Uploaded CPython 3.8 Windows x86

GraphSPME-0.0.1-cp38-cp38-musllinux_1_1_x86_64.whl (714.1 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

GraphSPME-0.0.1-cp38-cp38-musllinux_1_1_i686.whl (746.4 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ i686

GraphSPME-0.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (190.1 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

GraphSPME-0.0.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (196.3 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

GraphSPME-0.0.1-cp38-cp38-macosx_10_9_x86_64.whl (176.8 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

GraphSPME-0.0.1-cp38-cp38-macosx_10_9_universal2.whl (320.4 kB view details)

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

GraphSPME-0.0.1-cp37-cp37m-win_amd64.whl (144.8 kB view details)

Uploaded CPython 3.7m Windows x86-64

GraphSPME-0.0.1-cp37-cp37m-win32.whl (125.6 kB view details)

Uploaded CPython 3.7m Windows x86

GraphSPME-0.0.1-cp37-cp37m-musllinux_1_1_x86_64.whl (717.6 kB view details)

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

GraphSPME-0.0.1-cp37-cp37m-musllinux_1_1_i686.whl (746.6 kB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ i686

GraphSPME-0.0.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (191.7 kB view details)

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

GraphSPME-0.0.1-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (199.2 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686

GraphSPME-0.0.1-cp37-cp37m-macosx_10_9_x86_64.whl (176.2 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

GraphSPME-0.0.1-cp36-cp36m-win_amd64.whl (145.4 kB view details)

Uploaded CPython 3.6m Windows x86-64

GraphSPME-0.0.1-cp36-cp36m-win32.whl (125.7 kB view details)

Uploaded CPython 3.6m Windows x86

GraphSPME-0.0.1-cp36-cp36m-musllinux_1_1_x86_64.whl (717.8 kB view details)

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

GraphSPME-0.0.1-cp36-cp36m-musllinux_1_1_i686.whl (746.6 kB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ i686

GraphSPME-0.0.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (191.6 kB view details)

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

GraphSPME-0.0.1-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl (199.3 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ i686

GraphSPME-0.0.1-cp36-cp36m-macosx_10_9_x86_64.whl (176.3 kB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file GraphSPME-0.0.1-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 585708f36560e385364f2bc7d9499060c01fcfe1ba60a07ac58a93d3ba726720
MD5 9a552a79631ae99b763a865d36afc176
BLAKE2b-256 37a03eab3b407bf81b03ee4ee80e0e57175e14a5013e8fe58855071882e41514

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8d18d95a9d49739076d3c2354e7c862d99ebc6b5c47fa848132d8b729e2ded45
MD5 3019aa0c4bc8a0a175c3e3a0e05e981d
BLAKE2b-256 269a4cdd44c7602965882540caa3c0a7d0fb774a44aa8fc163e9d19fa2f736f0

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 599b4fe67ac35c64e517c91b6062c853a5f234d21f6b7a2200932abfaa14bdbf
MD5 8fa3ff681eb9676b8d39b53239ed71bc
BLAKE2b-256 15c140ae81b9a484016d9617e99ccc64ae916850745645cd714a355923a02c08

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 d7345b8b110c0dc60b82ae89a70774313c910e005f8631106bbb1d54c92c8827
MD5 c1a06ed7e49ea439a7733b6870c89974
BLAKE2b-256 dfb2ad8162683ee72ae6215011341291827361bb54c6f136f7226cc2bfdcde74

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-pp37-pypy37_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-pp37-pypy37_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 bb93191d24ca3a291b647af733c0109de25b55d12c6904e41e11da447e936129
MD5 d32bbc1735642c29f05020c13e4d6235
BLAKE2b-256 8f1ae758d063eb4af8dcc2e6ddb3f4878b21cd55cc723154c4d18f2814228ea9

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9afd552c7309bfc471bd0ce069e0ebd9e380743be07bf2466f7a33d4ceb3a644
MD5 5db8dd4afece6e99e6aa63242ddedc35
BLAKE2b-256 a1079dcfb8ee0221d90f928c979aea41c5c97f9e2e7c27015d4b0ddd39903dca

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 bee60cce806143883204db3e1ad42fa5dfd23bf19b5532ff7d72ea1fb568f8f5
MD5 a29723e7aff997e93b4f3044af835c17
BLAKE2b-256 cdec92cba01623092db75ba86a3d4a1a818a1bcbb892d8981f9a262c0357c2fe

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e4c0dbceab82f2b98365a01b84b1cf86e6edc37a1468222705fee9f1a5b0864e
MD5 2fde1c3037811f2738222304813b4d4c
BLAKE2b-256 0ae74cbac54793c5c3bc8fb858cdc53640e6a81448ba12611a7d6e298eb0a5cc

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 47689bc2fc85bdd4c3b7d63f89a87044c236867ff577169bb24991ddf2ef07cb
MD5 1a95f9afc0d79cd91ca7adc3a05704c8
BLAKE2b-256 ab830f09404430e38e5b06ff3d56f031f91c05de0ef2a7c562c1df4f6d474121

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp310-cp310-win32.whl.

File metadata

  • Download URL: GraphSPME-0.0.1-cp310-cp310-win32.whl
  • Upload date:
  • Size: 124.6 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.0

File hashes

Hashes for GraphSPME-0.0.1-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 66e3c01b713ba53ca1cf3ec816ab9e9ccc800eb679bc85d6b38974063649ad0c
MD5 714704ade5db14f2873038b76c438dc4
BLAKE2b-256 2799997a6246c44c9df6272d2ad0c904c907fe5e5e97bc6daa37cfbfc9899142

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 7230403bc42137acb764e0d6f6feef63ea64d25cfc66bfe83a29f5afbebc9325
MD5 b445964360774db5d20abef0c2fd96ed
BLAKE2b-256 fb277f80b7235f43025f1cf0f0471e286c2e75b2e5a517659a94b8de44292c0a

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 7f1b153955562085c2a59b16699c15eef3780484aaa4deb0bfd8e50988dea49c
MD5 e5271813c96fb02b32b57c0887b3cc37
BLAKE2b-256 f937c409244f602402404e0899352c65a50498b6d62e3323cda4d1182f121e87

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6f535089390491b66357d153ff05c19a031c25a00d772caa18012a4b11c752cd
MD5 064b239bd2c72f2766f8bcdd20b029c1
BLAKE2b-256 64ad92ee16b3fcd621550b16ef45d0c84e9b5b5b7af0de820fe54856d1a27ae2

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 ca64ff73aa7076fe2a48a3866e949c69eb777a0934119ea4cb9e06c49a43fc5c
MD5 9367fd72197326031d4e9a05cfb5a774
BLAKE2b-256 e602f7a8daad386bd8b1b6f6a4e2220afdcb0a3af35ce612baf448b1e9ab962e

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 71f454db4fcb2c146618e7dcb04db5f3c71cc938f2e336b689d76692ff9d895f
MD5 55a577f62414a82bcfe57454e6d555f1
BLAKE2b-256 ae130a58cb75727bb3f24f88d4d3af5090c2ae65d397a58aaaced4ac57878ebd

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 08b1bf4656904eba2fd87850d0e21e29d78b633c413f33417238f064411d69bb
MD5 9b9fbced72dc0dbc6e581ba907a70fab
BLAKE2b-256 fd5248d7b7cb1bf480d9b39a90d7077a0e6b7d8d363079e7ffbb3dcaaa764014

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: GraphSPME-0.0.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 144.1 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.0

File hashes

Hashes for GraphSPME-0.0.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 09b2b3907f4a271e5113cbf53a19042a237bc89a79ed68706f6af97c3641db36
MD5 c74cad60deffac870e9f179fc9eea17f
BLAKE2b-256 16b5c0099b2948bf307a67133efeb262b57ed59a7e35e9fb249ad34d0f4bc7f0

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp39-cp39-win32.whl.

File metadata

  • Download URL: GraphSPME-0.0.1-cp39-cp39-win32.whl
  • Upload date:
  • Size: 124.7 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.0

File hashes

Hashes for GraphSPME-0.0.1-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 4a9c7965c4ec769a1f7a57230bb789421e09f55332af25e52467b388e852a403
MD5 1a1de26bc7d1564564c79ebde71f12af
BLAKE2b-256 a2651aab568d12dafab96b008b9ab65cf515a796581dc1cde12a9b699372b473

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 19696b324fe9d12658bdb8e69301aad55a85aabf8ffd57b3e3ba9ad9675c3e08
MD5 dc6fa496da03e787da8f64e4a42f913f
BLAKE2b-256 5b5ae1d8db4f83e5597fe49beb1378ed6eefcde45442fd8ad80ad72f22ed268e

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 aabd39f9978b6d50ce7b2ed1282202748d37d3d05c6d02225f4c0144d8b056f3
MD5 afd49ea1db4872b456c26e342158295d
BLAKE2b-256 22675e852837891206018de2ee664198241745f40572bfdf79cccea3355fbe8f

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b1ffdfda08385c9807a1517374fffcc4b002fe106ddbfac7db7ea5ae280a0bfa
MD5 18c5df409ccc9e883da2efdde0f5a3fb
BLAKE2b-256 0bebe382223a018ca86714e519c9d5fcd4223e38562a57cecb029f0aa4cf07eb

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 2d7688762eded343fd6ba35e4d99dba6bd9ffdda17de35ac21b3b94f66fd6b72
MD5 d126dd00a9ee824fa03a5c35d54fa6be
BLAKE2b-256 d8fb32c5c1aee2bdf0dc00ce6fde94d020b099c783bdc55c7016c6666b4aee98

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 5bf2cf20255eeeb289c0804dd626066cd8a052ca5eda330fe74d09c4f03b1dff
MD5 70b531e4d245865225b40f3f40c4812f
BLAKE2b-256 a51419f732b26ce080b172f8ce094c2fc8c5c10111f1ae455b8c2a802d462dd6

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 57de0aacd5fb849fee10f6a2e5915a11c80255c486fd49660cad37e3249752a8
MD5 252761ca5d5ce92516723ff354e64d39
BLAKE2b-256 cac4ed70ea5d4b7286004cf961e8df1efdaae4656c3393283c51db6db67c0748

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: GraphSPME-0.0.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 144.1 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.0

File hashes

Hashes for GraphSPME-0.0.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 7fd3c162cbde10364233b1528c782f48292d77fa2dc6b4f7cf280257361fadca
MD5 1ee4a2c05c203706d269cf6db7c8c13b
BLAKE2b-256 0205c3b31ee2d60fa67e3c235d1b34bee95496f31a663c82b06ce80f00e83961

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp38-cp38-win32.whl.

File metadata

  • Download URL: GraphSPME-0.0.1-cp38-cp38-win32.whl
  • Upload date:
  • Size: 124.6 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.0

File hashes

Hashes for GraphSPME-0.0.1-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 21a0facfe1a0110e4340553572da8e12e1e738b90dfbf5578e087472db1512b8
MD5 8c578ac84fac934b11b2fb87fbeae971
BLAKE2b-256 ef1dcd957936d1d413ba0c1d95c1aa27d291fdb3152fe83c57add18cb85e4642

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 f99be8b4b8639a00c42c92db5095c7ec8b1bc403a4f952e5b386036b78c9554c
MD5 47cd5e2552e226aca133a3b8ea81b4e0
BLAKE2b-256 407bd62dfe5e4d4076da4bfc172b9d764f29baa6f6de80af5868bc0b39f3d194

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 75bf2825729e12d41a76cecaf2221477cfea03e03e1b983e582970d3acd87fbb
MD5 7b6a7f8d96df999e9e583e6f079d1b4a
BLAKE2b-256 44d8e6633066c81adb4dc925c28c9877b06d00a4311dc6cbcf71ec7e0ed2f411

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7157825b9e0b51a4964bc88afce34d43fa466a8f491c4054aad2b866d048b507
MD5 3a30bb29a711cedede5c29a781a327f8
BLAKE2b-256 e90c25c6093d66338b1a13a218050a805515034b87f5e3728f8b4286ffdf778b

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 25151a66db6103fc1d62c320cb6298c952e40c2d8dec148adc05f5e7c60e0378
MD5 2ac031af48e474054dd04acc6325d1d6
BLAKE2b-256 2bcba91f5f1572795cd1e55bb27c08b8dffc8524150cebbd2724c2eae7625496

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 cabe1fe40f380d0e3dda1b1e7b36311576a76bb636c5607ccd4c73c1e382baf1
MD5 b85aa178c63cabedbaa1b2acfb68e8fb
BLAKE2b-256 a917c5acfb120bf0c0b6870e60d5171649e5f2a450624e913499e38d87741414

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp38-cp38-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp38-cp38-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 ffd9626837bb1dc28233b0cf24f2a72d6087e5f0860de936bfb5d0b614003540
MD5 eddfaac3a73b44f5c3ba41915c96bdf0
BLAKE2b-256 d08491897eb132d87adfc28ea175ae88630ba59a42c0e15fa3c5ff7c808263f5

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: GraphSPME-0.0.1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 144.8 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.0

File hashes

Hashes for GraphSPME-0.0.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 0fc865b4250c0d26c217fb23763cfc0ad011ddee69147e97c9b1e12b7c9155f0
MD5 9e80c29bebce28cb938c0f5e091a611b
BLAKE2b-256 52aa50c22dbd495280e5ed9bf812d8e150c65c0358c73cde6a97144a18fabcb6

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp37-cp37m-win32.whl.

File metadata

  • Download URL: GraphSPME-0.0.1-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 125.6 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.0

File hashes

Hashes for GraphSPME-0.0.1-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 562a44ca254a5133aa56a8b05ce27850f8951a4e5560979c292946cd571d04d9
MD5 3e84bf9fa8352b676f8c0fc3bdbfb09a
BLAKE2b-256 d87a4d90f7861075cdd785e521d6e79ddadf1e1825668b390b80576f30592a63

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 408baf5c08f3f2ce0884ad5798ec5f8f4854e86d9d4a80f91408b6a35016af38
MD5 ea5e2a6cddf34af799ae3eb10b2d1209
BLAKE2b-256 c2775505513a6138336c97e09c64a936eb1e868c680664c858f1bd4f58182b3f

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp37-cp37m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 faed17d38ba6d50ebf83ce0b88cef2d879f834510042ef65a6c5a0ec51e3ab0a
MD5 330eef58f216670650e8582cc9a3ef33
BLAKE2b-256 36aa95c866dabfd101813e58879c34ca1ba61780aa6b7cd01ed9b86d51a0ffc6

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b1669f22365e4f153c1eb8e5ab5e6a2945913259066b0af87dd59b1d9bf8d5b6
MD5 3b73cd16ee665e4537e7c1c9a6afe25d
BLAKE2b-256 ea170aae5bb9927efeab6cc26d5b22c552b699aaa31f462e78b78f5c7997acc7

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 d2167760f07bcee560df50137626c96184a534226040ef94d0551f8cbd929f68
MD5 2fad4fe72baf99ccae8cb8487859590a
BLAKE2b-256 f98cb5fa585699c8f0c4e9119e3fe52d0e36fcf38e57fe0c3d82d1483676ef4c

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b082abaea7a7f5aa380ef2df2dd2dd0da103864ae83107848815b80da66f73dd
MD5 d97e09f65fafcc3f2e1ff8cf1a79a8f8
BLAKE2b-256 94aacc3b650afec4ddfc1de2499b1e8b14ef35afcb6fd05b52170d26846156d3

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: GraphSPME-0.0.1-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 145.4 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.0

File hashes

Hashes for GraphSPME-0.0.1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 9404f6f2ab38822e296bdc81b2289e0d4cd2add765e814273fc6cb91f0c66734
MD5 fc45e62948db19a6b2141921a18041f4
BLAKE2b-256 b59f70fb4ff08ca308cb4e64f4903f621e04816d64ec85bfb647d3bf1bf6cf75

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp36-cp36m-win32.whl.

File metadata

  • Download URL: GraphSPME-0.0.1-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 125.7 kB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.0

File hashes

Hashes for GraphSPME-0.0.1-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 d97a385e28428dcf400a0d3d63600a0ec7a10ab60c380a14841b4a0aad8a64be
MD5 f211d25d3de33a0d49bec7301bbc827f
BLAKE2b-256 dfa974f21f2b23897b1df1654b8dc33335d156e9362a456cf2a4fec20f3413b1

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp36-cp36m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp36-cp36m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 1b58ba2e769f5a2ce93d4c3c25ef8ec5bc921f5b727587c0dfe2dd029fe05486
MD5 3ff0652d27ebea1a27c8c4106d93ffda
BLAKE2b-256 7f3e19679e77e2af60b574716199f50a5a0900b7f960c56158f5cfa81f91e841

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp36-cp36m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp36-cp36m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 782e8374c5d6b5abca6ca875ba2177c182111ab30b3b94c0c371f4bc2c0f1b96
MD5 3a3af7cb8ff1078c37fcc09bce04a546
BLAKE2b-256 e828dc7bd49591e15515a0e12471e8a84df15d6f233c9458f2d8993a01f2436d

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8588583538bef89a70caa579d923de723b87b8ee08b11803da1eaf269b697609
MD5 1150d42ca2060fe727b3048d933b6fdc
BLAKE2b-256 844ac41f7f3d3793c1e0baa3be8c704be45ab79e56be44a96fc68942a9ed187d

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 9cbb452f3c861aec73a232b0177410b34b18bb904abaff0bb42adf87c54e305c
MD5 1fad88b3486194bf77d10b7ec6016d9d
BLAKE2b-256 aeb93e3d08337d784d52f55f954cd5064ee5296e95be2d11607854ecccfa081c

See more details on using hashes here.

File details

Details for the file GraphSPME-0.0.1-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for GraphSPME-0.0.1-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 af7b3df68952b38e901cb5844aa539a5fe5a7f7d1c4e52446a0bfe29ff0a9be0
MD5 f05ad3b4930bddfc501666adac968fa8
BLAKE2b-256 22ca4e75a616a797cec2b2c41b0589413bdca62a481b3a9251f9bca82f71162a

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