Skip to main content

dragonffi static python bindings

Project description

Static python bindings for dragonffi. API isn’t yet stable and is subject to change!

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

pydffi-0.9.1-cp39-cp39-win_amd64.whl (20.8 MB view details)

Uploaded CPython 3.9 Windows x86-64

pydffi-0.9.1-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (29.9 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ x86-64

pydffi-0.9.1-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl (33.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ i686

pydffi-0.9.1-cp39-cp39-manylinux2014_aarch64.whl (22.6 MB view details)

Uploaded CPython 3.9

pydffi-0.9.1-cp39-cp39-macosx_10_14_x86_64.whl (25.8 MB view details)

Uploaded CPython 3.9 macOS 10.14+ x86-64

pydffi-0.9.1-cp38-cp38-win_amd64.whl (20.8 MB view details)

Uploaded CPython 3.8 Windows x86-64

pydffi-0.9.1-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (29.9 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

pydffi-0.9.1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl (33.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ i686

pydffi-0.9.1-cp38-cp38-manylinux2014_aarch64.whl (22.6 MB view details)

Uploaded CPython 3.8

pydffi-0.9.1-cp38-cp38-macosx_10_14_x86_64.whl (25.8 MB view details)

Uploaded CPython 3.8 macOS 10.14+ x86-64

pydffi-0.9.1-cp37-cp37m-win_amd64.whl (20.8 MB view details)

Uploaded CPython 3.7m Windows x86-64

pydffi-0.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (29.9 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64

pydffi-0.9.1-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl (33.7 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ i686

pydffi-0.9.1-cp37-cp37m-manylinux2014_aarch64.whl (22.6 MB view details)

Uploaded CPython 3.7m

pydffi-0.9.1-cp37-cp37m-macosx_10_14_x86_64.whl (25.8 MB view details)

Uploaded CPython 3.7m macOS 10.14+ x86-64

pydffi-0.9.1-cp36-cp36m-win_amd64.whl (20.8 MB view details)

Uploaded CPython 3.6m Windows x86-64

pydffi-0.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (29.9 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.12+ x86-64

pydffi-0.9.1-cp36-cp36m-manylinux_2_12_i686.manylinux2010_i686.whl (33.7 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.12+ i686

pydffi-0.9.1-cp36-cp36m-manylinux2014_aarch64.whl (22.6 MB view details)

Uploaded CPython 3.6m

pydffi-0.9.1-cp36-cp36m-macosx_10_14_x86_64.whl (25.8 MB view details)

Uploaded CPython 3.6m macOS 10.14+ x86-64

pydffi-0.9.1-cp35-cp35m-win_amd64.whl (20.8 MB view details)

Uploaded CPython 3.5m Windows x86-64

pydffi-0.9.1-cp35-cp35m-macosx_10_14_x86_64.whl (25.8 MB view details)

Uploaded CPython 3.5m macOS 10.14+ x86-64

pydffi-0.9.1-cp27-cp27m-macosx_10_14_x86_64.whl (25.8 MB view details)

Uploaded CPython 2.7m macOS 10.14+ x86-64

File details

Details for the file pydffi-0.9.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pydffi-0.9.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 20.8 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.8.11

File hashes

Hashes for pydffi-0.9.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 d5dbb871614d5f19120975a348e845c48d19cf4d030d27fe4fd3774ff2aff9da
MD5 bd3ac0f3d7cabd4d6899163d0b81f354
BLAKE2b-256 ee8b24511990900cf4296db1e8915ce90d42ee7460b9b77796eb085dc99e9454

See more details on using hashes here.

File details

Details for the file pydffi-0.9.1-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for pydffi-0.9.1-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 66d462818dd9fc1ce8ec5515ea61f735633694954b1a5a38499c6e8bd78b120b
MD5 9028fdb673588ab866f3374e924738b6
BLAKE2b-256 472ee0ba194eedde8ace6ad52f4688de129718ebfea8a55645da43a835f07554

See more details on using hashes here.

File details

Details for the file pydffi-0.9.1-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

  • Download URL: pydffi-0.9.1-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl
  • Upload date:
  • Size: 33.7 MB
  • Tags: CPython 3.9, manylinux: glibc 2.12+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.8.11

File hashes

Hashes for pydffi-0.9.1-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 1f15c6b0f99d5478ffa90c31065b3a230efde052ae0263499d8238a5eafbd56f
MD5 1c9067315bf8b09f5e547a50646ddc91
BLAKE2b-256 c2ef3c365579817352a4a0e38f764fc34a8c2e83156dc47efe7f7403ae19d8f7

See more details on using hashes here.

File details

Details for the file pydffi-0.9.1-cp39-cp39-manylinux2014_aarch64.whl.

File metadata

  • Download URL: pydffi-0.9.1-cp39-cp39-manylinux2014_aarch64.whl
  • Upload date:
  • Size: 22.6 MB
  • Tags: CPython 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.8.11

File hashes

Hashes for pydffi-0.9.1-cp39-cp39-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7ea0119ff87556f282b86ca211886352cf866e253f6f24d9f1076cb3a2193f63
MD5 44a79b534bca3b930ace3ecb6d4b2c8c
BLAKE2b-256 0b7c529e4557c0ade78e0aec9ad664e5b46705edb9f0a8b8599ca8737915b57f

See more details on using hashes here.

File details

Details for the file pydffi-0.9.1-cp39-cp39-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: pydffi-0.9.1-cp39-cp39-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 25.8 MB
  • Tags: CPython 3.9, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.8.11

File hashes

Hashes for pydffi-0.9.1-cp39-cp39-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 28f3b078a760ab34e00d1eef60bcb669812f0fe361c1478942677806fa3aa7bf
MD5 b42bde9f9dab9e8852a09c1e888d8ec4
BLAKE2b-256 1ba74f36fe004b03773939cb97b8df38f562e871230a95ab5ee366bd5497134c

See more details on using hashes here.

File details

Details for the file pydffi-0.9.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: pydffi-0.9.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 20.8 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.8.11

File hashes

Hashes for pydffi-0.9.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 4794086fcd16b48fba07c6c06b71574fa99e2d8a0c28f7aa53d1d3feb23c4330
MD5 2593919be41cd35c1df80cf1427f9418
BLAKE2b-256 63fcee909e345bad18bed7f59cf1c0345e0ee4a875c1200d7024800aaf553682

See more details on using hashes here.

File details

Details for the file pydffi-0.9.1-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for pydffi-0.9.1-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 4a2bd6bbc113074638faeecdd880c5584a5630bcaf7260d49660e254f9a83c11
MD5 1cf3f29a7fe8de148fbaeb90074a132b
BLAKE2b-256 5c81c14b8e6b98d5bfd043acfb5fd5efb1cd31f5ffc1645f15568b98989c03af

See more details on using hashes here.

File details

Details for the file pydffi-0.9.1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

  • Download URL: pydffi-0.9.1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl
  • Upload date:
  • Size: 33.7 MB
  • Tags: CPython 3.8, manylinux: glibc 2.12+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.8.11

File hashes

Hashes for pydffi-0.9.1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 94e63f16b949733c1b514d69d032c8dbae0dcfc006a2ea142d49cb4ec022e0ac
MD5 832b7eeaeb5b262378bf2482e98fb60f
BLAKE2b-256 a43b117fec35125380ca55902502ea7e3bcaef75a4bf6574c4c9a4be198b8e97

See more details on using hashes here.

File details

Details for the file pydffi-0.9.1-cp38-cp38-manylinux2014_aarch64.whl.

File metadata

  • Download URL: pydffi-0.9.1-cp38-cp38-manylinux2014_aarch64.whl
  • Upload date:
  • Size: 22.6 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.8.11

File hashes

Hashes for pydffi-0.9.1-cp38-cp38-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c0360b3762fa27e0afd0aee0bbbbb30e0d87b0be34577b3e0c0d235fea8b49e9
MD5 8e3115ebcff29cea4f554efb7480f932
BLAKE2b-256 9288f668ef708c1dc987d51224fd629f9c04f6c3362cbbd45b67aa3844a6ee83

See more details on using hashes here.

File details

Details for the file pydffi-0.9.1-cp38-cp38-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: pydffi-0.9.1-cp38-cp38-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 25.8 MB
  • Tags: CPython 3.8, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.8.11

File hashes

Hashes for pydffi-0.9.1-cp38-cp38-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 26d980bba81ec8bf87c8ad5eedfb36443545c1b762bfc806daacec5d1276a593
MD5 4f4f8857ab5fd6527bb51a2a39497a7f
BLAKE2b-256 138d9084b6f845153cb14422c319cebb3268a8aa2039c3601715a05e555727d9

See more details on using hashes here.

File details

Details for the file pydffi-0.9.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: pydffi-0.9.1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 20.8 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.8.11

File hashes

Hashes for pydffi-0.9.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 19a3e2878f79b5e31dc81baedb5408f451a5960d2a2455f967226a65e3136f19
MD5 8736b66a4ea48e221938b97cf50f4569
BLAKE2b-256 98f331d33065d1a9fcd91ba4f87e136ea1bf22a8434e41f68bca8223d04bbef6

See more details on using hashes here.

File details

Details for the file pydffi-0.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for pydffi-0.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 8c417975f04b93df047ac78517cce9b9fae8c3cb33c12b236478b0147db6e39e
MD5 b83636ff5eaedf156f753504b27be457
BLAKE2b-256 19ae909bf64c2c41a408902d25d979c5cd437f2d2b1f8a2d8862dfa69266b8a7

See more details on using hashes here.

File details

Details for the file pydffi-0.9.1-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

File hashes

Hashes for pydffi-0.9.1-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 67777e545a790ef9d1366504ac85a22b3f368544aaf12548bf712809154f0bb7
MD5 ca32aeec8bcd468dd4ef04b3f245ce8c
BLAKE2b-256 70aa46efdf4b4242bb60cdd47a270c3d7376d68c6daaa294d86e00f5efeabc5e

See more details on using hashes here.

File details

Details for the file pydffi-0.9.1-cp37-cp37m-manylinux2014_aarch64.whl.

File metadata

  • Download URL: pydffi-0.9.1-cp37-cp37m-manylinux2014_aarch64.whl
  • Upload date:
  • Size: 22.6 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.8.11

File hashes

Hashes for pydffi-0.9.1-cp37-cp37m-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 984daaf989656ad146a99fd5eee334185c48317f5b77f57b31240f66eb6651cb
MD5 eda496fc4ce2b33e45cd14d17aa17f32
BLAKE2b-256 cedbe5b2df641ba60baf512b7dc494ed4e2cea4414bfd87b12acb0535c89746c

See more details on using hashes here.

File details

Details for the file pydffi-0.9.1-cp37-cp37m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: pydffi-0.9.1-cp37-cp37m-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 25.8 MB
  • Tags: CPython 3.7m, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.8.11

File hashes

Hashes for pydffi-0.9.1-cp37-cp37m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 f38a1b57a902c44a4f171045024990c5a1113466b8b342f844bddfe6ebfc7fd5
MD5 934bacceadf1877b93aaaa961838ad4d
BLAKE2b-256 6cde5983f9117aac519d57a32319b7280d9060a3a7769ca872228639a5ba0a32

See more details on using hashes here.

File details

Details for the file pydffi-0.9.1-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: pydffi-0.9.1-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 20.8 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.8.11

File hashes

Hashes for pydffi-0.9.1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 555e0deaa1ae3784ef81401cbac03a7c9699ae4ad8fac1843192544938dd4c54
MD5 b2b59f592f6e3931bb4af06e8a661e17
BLAKE2b-256 b71782f6c1007c425397a383db38343dc133220d3e65275bce6c22c58a78f1b3

See more details on using hashes here.

File details

Details for the file pydffi-0.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for pydffi-0.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 bdcb5f23acfc0c10996545628f313b146d032ffad630e95f8f3b2760ec8f3015
MD5 790e77ee02bbdb6d1969b61e0bf6b791
BLAKE2b-256 f311748f3879060ef87537900a95cce06002d7880d6a27da8dede16914d29436

See more details on using hashes here.

File details

Details for the file pydffi-0.9.1-cp36-cp36m-manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

File hashes

Hashes for pydffi-0.9.1-cp36-cp36m-manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 bdb1b989bad732506b9a3b42dc5c7ae156ad4e4f8414e606bbd6e2adb6fbcf3a
MD5 fb02dc109282f1c45efe02db80db18ff
BLAKE2b-256 dbd4cddb20af1ecb5c7b99c47b3324270212f3ab59468af78fb385c42e52b15c

See more details on using hashes here.

File details

Details for the file pydffi-0.9.1-cp36-cp36m-manylinux2014_aarch64.whl.

File metadata

  • Download URL: pydffi-0.9.1-cp36-cp36m-manylinux2014_aarch64.whl
  • Upload date:
  • Size: 22.6 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.8.11

File hashes

Hashes for pydffi-0.9.1-cp36-cp36m-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a339158098f3f5eebc96c3c0e7a4d31256b879c9f8c5e3fd7e63a088f8c2608d
MD5 6f397ddf797f12dc7556f3602bfe9f84
BLAKE2b-256 18bb77329c608f3a52bc2f05bb8fec05c659a22efbc74a3092324b2cc9341412

See more details on using hashes here.

File details

Details for the file pydffi-0.9.1-cp36-cp36m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: pydffi-0.9.1-cp36-cp36m-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 25.8 MB
  • Tags: CPython 3.6m, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.8.11

File hashes

Hashes for pydffi-0.9.1-cp36-cp36m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 aa77a90f49a6001ede22951529610de13ad98dbce3259a7a0d20450985787ea2
MD5 e95e7730df25d792742fab9a996c53a0
BLAKE2b-256 424f4191c342ad364fc00a418be3d0bff17fc571f36623d67b57e533e2de2e6a

See more details on using hashes here.

File details

Details for the file pydffi-0.9.1-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: pydffi-0.9.1-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 20.8 MB
  • Tags: CPython 3.5m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.8.11

File hashes

Hashes for pydffi-0.9.1-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 d2931180fc44a41b849e4733c14624a5b5c45ad03a8b47895100f21e320f8767
MD5 7f2e48bae523fb8e33c568944e234f16
BLAKE2b-256 4dbf11eab6c3e83135d56beb93b85f63c0227b2c69d4ec17781bb8cd989427e8

See more details on using hashes here.

File details

Details for the file pydffi-0.9.1-cp35-cp35m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: pydffi-0.9.1-cp35-cp35m-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 25.8 MB
  • Tags: CPython 3.5m, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.8.11

File hashes

Hashes for pydffi-0.9.1-cp35-cp35m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 ff37bd2b13b35c07660ee4c3386f99e5e58f557e761c8137c428686ca8ca14ab
MD5 772ab4ce7f93905c59143ca38e27f33c
BLAKE2b-256 988513c8b9a20d484c11d19b0b83c195a15ebc298738a74923569aca0abe5526

See more details on using hashes here.

File details

Details for the file pydffi-0.9.1-cp27-cp27m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: pydffi-0.9.1-cp27-cp27m-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 25.8 MB
  • Tags: CPython 2.7m, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.8.11

File hashes

Hashes for pydffi-0.9.1-cp27-cp27m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 deb964357b2cf7be5fdecd106333a4a9cfea50da9748115bfbc34dd5094d28ef
MD5 57d7b283112a0d05b20e150df06dd57c
BLAKE2b-256 4a83ac386af9f7bbacf96432ffb073484bf907e5da4c471a7481c10fccfb9a5a

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