Python library for JABI (Just Another Bridge Interface)
Project description
JABI
JABI (Just Another Bridge Interface) makes creating and deploying bridge devices that provide RPC to common microcontroller peripherals simple.
Architecture
Interfaces are the available methods by which a single client may connect. Multiple interfaces running concurrently is supported. The following interfaces are currently supported.
- USB
- UART
Microcontroller peripherals are made available over each interface via a custom basic RPC. Each interface listens for request packets and dispatches them to the appropriate peripheral. Multiple instances of each peripheral type is supported. The following peripherals are currently supported.
- Metadata
- CAN (FD)
- LIN
- SPI controller
- I2C controller
- UART
- GPIO
- PWM
- ADC
- DAC
Clients connect to the microcontroller over any one of the interfaces. The following clients are supported.
- C++
- Python -
pip install pyjabi
- gRPC
- Rust -
cargo add jabi
Setup
Firmware
Follow Zephyr's Getting Started Guide to get dependencies installed. Then create a new workspace using this repo. We'll create it under jabi
, but you can use whatever you want.
west init -m https://github.com/dragonlock2/JABI.git jabi
cd jabi && west update
To port any board, you'll need the following. See firmware/boards for examples.
- Zephyr board definition. See Zephyr's Board Porting Guide for help.
firmware/boards/<board>.conf
- enable device drivers and any desired settingsfirmware/boards/<board>.overlay
- selects available interfaces and peripherals
Now compile and flash the firmware.
west build -b <board>
west flash
Dependencies
If you want to build from source, you may need to install a few dependencies.
- macOS
brew install git cmake autoconf automake libtool libusb grpc openssl
- Linux
apt install git cmake autotools-dev autoconf libtool libusb-1.0-0-dev libssl-dev
- Install grpc from source.
- Windows
- Install Visual Studio C++ for its C++ compiler.
- Use winget to install git and CMake.
- Use vcpkg to install
libusb
,gRPC
,OpenSSL
, andgetopt
.
- Windows (MSYS2/MinGW) (experimental)
- Install MSYS2 to install the following packages.
pacman -S mingw-w64-ucrt-x86_64-gcc git mingw-w64-ucrt-x86_64-cmake mingw-w64-ucrt-x86_64-autotools mingw-w64-ucrt-x86_64-libusb mingw-w64-ucrt-x86_64-grpc
- If you're not on
x86_64
, your exact package names may be different.
- If you're not on
C++
C++ support is provided as a CMake library and can be added to any CMake project using add_subdirectory
. An example project is in examples/cpp.
Python
A Python library is published on PyPI. For the latest changes, it can be built and installed locally by running the following. An example using it is in examples/python.
pip install clients/python
gRPC
Protobuf definitions are located in jabi.proto
. grpc-server
is a reference server implementation that bridges one device to a network and can handle parallel requests. It provides various arguments for selecting the desired device. An example client is in examples/grpc-client.
Rust
A Rust crate is published on crates.io. For the latest changes, it can be added locally. An example project is in examples/rust.
TODO
The following gRPC clients.
- Google Flutter cross-platform app
Fun things to look into one day.
- Better documentation...
- Unit testing...
- Alternative functions for pins
- Move to Thrift for RPC (natively supported in Zephyr!)
- Network (Ethernet, WiFi) support
- BLE support
- USB Linux drivers to show up under
/dev
- USB HS dev board for comparable performance to STLINK-V3
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
File details
Details for the file pyjabi-0.1.1.tar.gz
.
File metadata
- Download URL: pyjabi-0.1.1.tar.gz
- Upload date:
- Size: 382.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f94aaba1b49bdcf8556cbf4131759f94dcb4c0051e2e433647276c285dd287ae |
|
MD5 | 4dcba78965dcc1aec6223cc023c164ac |
|
BLAKE2b-256 | 553f2dbe841d21875a469ce458e001e6af46a5d52092f0d3de9ce25665f124c6 |
File details
Details for the file pyjabi-0.1.1-pp310-pypy310_pp73-win_amd64.whl
.
File metadata
- Download URL: pyjabi-0.1.1-pp310-pypy310_pp73-win_amd64.whl
- Upload date:
- Size: 183.8 kB
- Tags: PyPy, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 225353cdc7fcec6444bc932263d4a3661a38baf916844ffd6b7d7010ce3351cb |
|
MD5 | 5aac5e16f384e1f2985d8685f1c50606 |
|
BLAKE2b-256 | fabb8bd30f28fff010a2fda6b854147880fe9642a48bcdbb11dfd49be31abe08 |
File details
Details for the file pyjabi-0.1.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: pyjabi-0.1.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 401.0 kB
- Tags: PyPy, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ade3c5adc892919bbc728ec6fd15fbc77aadc7e6e292421ddcc2e4957217078f |
|
MD5 | 7ca79c2cb3878d02a10635ce7d87eaba |
|
BLAKE2b-256 | 68d5e5b68a542e0e9787ab63c872bd43add1d187b48398c6c7bfc305ef32f67b |
File details
Details for the file pyjabi-0.1.1-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
.
File metadata
- Download URL: pyjabi-0.1.1-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
- Upload date:
- Size: 395.9 kB
- Tags: PyPy, manylinux: glibc 2.17+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | df8e627ba34fbd635cf53d582a8b50bec346bba11ecd43646a7e26352deb2eae |
|
MD5 | 0542665286a1de60af29e587d48316b3 |
|
BLAKE2b-256 | 1bbae1788a6fdb31f1f35c07fe6646ba0e79d5ae40f58de2761e686c5e7e4b36 |
File details
Details for the file pyjabi-0.1.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl
.
File metadata
- Download URL: pyjabi-0.1.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl
- Upload date:
- Size: 220.0 kB
- Tags: PyPy, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a0f19f52cf597560d7084d5c4de6e95e3a08edf4ec437caa34683b73e7bfb61f |
|
MD5 | dddf511f1734fdc578617bf4e485a20b |
|
BLAKE2b-256 | 92fe520f19f31339657ae511c63b76d4a07b314f4a03b5a14860353094cdf78a |
File details
Details for the file pyjabi-0.1.1-pp310-pypy310_pp73-macosx_10_9_x86_64.whl
.
File metadata
- Download URL: pyjabi-0.1.1-pp310-pypy310_pp73-macosx_10_9_x86_64.whl
- Upload date:
- Size: 232.0 kB
- Tags: PyPy, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 07ce6418884fe573fba09dc91c3ac61e3fbcce4feedf25d502a974149ff5e808 |
|
MD5 | 2b5506cd96e943e59666f291e9be38e7 |
|
BLAKE2b-256 | 17593eefa4a187105720bfc1370cbd6e6da8b9eafcf03eb0c2ad278c4f60defa |
File details
Details for the file pyjabi-0.1.1-pp39-pypy39_pp73-win_amd64.whl
.
File metadata
- Download URL: pyjabi-0.1.1-pp39-pypy39_pp73-win_amd64.whl
- Upload date:
- Size: 183.9 kB
- Tags: PyPy, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4c66cc653cac3ca33c880511ed6b3eba63697062a6c887939280c9a922a1d746 |
|
MD5 | 64a69fd33e4874475c7c04557f8c9aef |
|
BLAKE2b-256 | 227673334292382e1d00a26ff23a19621403984f9dfbfab043c78ba465a45c61 |
File details
Details for the file pyjabi-0.1.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: pyjabi-0.1.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 401.0 kB
- Tags: PyPy, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 314444bd4bdfb7627de97a19474f2d3174654aec34398f03907c02efbed5ead3 |
|
MD5 | 0389feb61c3333dbcf22c24efbf57e3a |
|
BLAKE2b-256 | 6bb537dc251cac1dd0ffc2a627b852cdb1e75e400af0ed17a1955d6119c0b705 |
File details
Details for the file pyjabi-0.1.1-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
.
File metadata
- Download URL: pyjabi-0.1.1-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
- Upload date:
- Size: 395.8 kB
- Tags: PyPy, manylinux: glibc 2.17+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | dcaedb18d028439403600405599ba504efdb4ae6a879d196da54eaa3c9a9cc15 |
|
MD5 | ac982997635cbc54a52c68f9dcfad3b1 |
|
BLAKE2b-256 | 755d851f0e2f383c729a8e9a554ea2bb13be1d4e2edcfb0e3a1f1201a4e296f0 |
File details
Details for the file pyjabi-0.1.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl
.
File metadata
- Download URL: pyjabi-0.1.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl
- Upload date:
- Size: 219.9 kB
- Tags: PyPy, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2cecd2467879fd3537caa136be258c47705ea90e33c91f9aa2bdd55add5f36bc |
|
MD5 | 857de06cec3379d154fc67b6da391a2f |
|
BLAKE2b-256 | f9fec150014280363d5c6a9aebae8ce88fa63682a16d7cfe1b9bd0f7642f1be1 |
File details
Details for the file pyjabi-0.1.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
.
File metadata
- Download URL: pyjabi-0.1.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
- Upload date:
- Size: 231.9 kB
- Tags: PyPy, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 73962b55c8255bc9dd1c51cc3fad719c870c78ed86c9ed68e7e37e5b17fcce59 |
|
MD5 | d0177873a61fd44d56ba0e20c04c895f |
|
BLAKE2b-256 | 2f6b73a2da3d9a5d34145e269d3feffdf784291c09e5d8b9ad4b8cedcc29c84e |
File details
Details for the file pyjabi-0.1.1-cp312-cp312-win_amd64.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp312-cp312-win_amd64.whl
- Upload date:
- Size: 184.7 kB
- Tags: CPython 3.12, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2852bb3cee30b4bf414934e3376a080dd60748b9fabe3242f4b3549b1a52114d |
|
MD5 | d846aee6195a196c0d90e91a846e5284 |
|
BLAKE2b-256 | 5f9886d3b0aa8575f3ada02a06d00b03dd485e5b21ec9b82bfb54759b7c408e6 |
File details
Details for the file pyjabi-0.1.1-cp312-cp312-win32.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp312-cp312-win32.whl
- Upload date:
- Size: 151.5 kB
- Tags: CPython 3.12, Windows x86
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 16e217d8b57e6460fc7c5720ac437fa0384ffbf7e153615a9a1242b0bacc96e5 |
|
MD5 | 0fa361e833cb39d869feadf78c63dc0c |
|
BLAKE2b-256 | d2452d1b05fe157b6ed7c792b65c639825d648e2a16287b0f123869aea91bf88 |
File details
Details for the file pyjabi-0.1.1-cp312-cp312-musllinux_1_1_x86_64.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp312-cp312-musllinux_1_1_x86_64.whl
- Upload date:
- Size: 920.0 kB
- Tags: CPython 3.12, musllinux: musl 1.1+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8c13f9227816a48f02d1557cbebca2f0cb70cf5f4744691408fb9b34cd73c7e8 |
|
MD5 | c56ca839d33c19a4ed81fba1500f6703 |
|
BLAKE2b-256 | eeb8aacb2fc8c56b1167c31ca4d246eba23c837634d6b80c2f680569dc2be82b |
File details
Details for the file pyjabi-0.1.1-cp312-cp312-musllinux_1_1_i686.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp312-cp312-musllinux_1_1_i686.whl
- Upload date:
- Size: 964.1 kB
- Tags: CPython 3.12, musllinux: musl 1.1+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | bee75ba0cdd9b8e2df7bad34aa1497a4133b6cb2eb362171868d73797add3ff9 |
|
MD5 | 281c9fa48ecf064556275b54b8d92dfc |
|
BLAKE2b-256 | 99ada4b9bc43f302b06c074dbf6d7c1253d0241ec21682f83796ef94f064d6b0 |
File details
Details for the file pyjabi-0.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 416.6 kB
- Tags: CPython 3.12, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | bcb8acd510f592f562577403b59b78a17f6b7c5697ea0e28ea1c2b7dce93a5ac |
|
MD5 | 76c1521b5a72253e861032e8a860aa22 |
|
BLAKE2b-256 | 6f9b18b13e4e0c19167139ec564ba3642ddd5f38bc9c79106af9d8246be80090 |
File details
Details for the file pyjabi-0.1.1-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl
- Upload date:
- Size: 409.2 kB
- Tags: CPython 3.12, manylinux: glibc 2.17+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4d57f5631a15c663773deb1ff54b58ac9b6c5cc8dcfde1f08ce4a3e088c9ea98 |
|
MD5 | c2341eb2d9395b24e8a5d75629fa2217 |
|
BLAKE2b-256 | 65388e51b25cc50711c0cefe08220af61b368cd8c4c61f2dc5ec95ddfdeb35b1 |
File details
Details for the file pyjabi-0.1.1-cp312-cp312-macosx_11_0_arm64.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp312-cp312-macosx_11_0_arm64.whl
- Upload date:
- Size: 220.9 kB
- Tags: CPython 3.12, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 730382df05d3fc7c03a09d5aba5053d3dd88bfb8117ae37d3d80e574eab8e34a |
|
MD5 | 0fb3a623b49cebb04e63e3e8675dc180 |
|
BLAKE2b-256 | b51ae70a739410ecb85ada637e859b4d0de5d496316df6d1829ba6f316817681 |
File details
Details for the file pyjabi-0.1.1-cp312-cp312-macosx_10_9_x86_64.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp312-cp312-macosx_10_9_x86_64.whl
- Upload date:
- Size: 230.7 kB
- Tags: CPython 3.12, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 94b68428b4710da57b0010decf1c585199418a77859ee14aafa07a4e6f6be916 |
|
MD5 | 036253e160efd80c6477aa5d29b04e2d |
|
BLAKE2b-256 | 00d6357ba793fd06ee067561ffce5492eed93b0b1beeb6a07deb1f8bacb834d2 |
File details
Details for the file pyjabi-0.1.1-cp311-cp311-win_amd64.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp311-cp311-win_amd64.whl
- Upload date:
- Size: 184.9 kB
- Tags: CPython 3.11, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ede79fba956543170ba5f150d0340f2781eecee5858b39a2c38cd3b9269e7abf |
|
MD5 | 800747aa5e3787a9f06e74af439f293b |
|
BLAKE2b-256 | ad756d283f95491016bae986f6a3dd22e52d33439671d6b890ef6eef743343b7 |
File details
Details for the file pyjabi-0.1.1-cp311-cp311-win32.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp311-cp311-win32.whl
- Upload date:
- Size: 152.8 kB
- Tags: CPython 3.11, Windows x86
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c8932ed6467e8b8df29826b51f534f8839485fe76050d7bf66c89f0ed2e055fb |
|
MD5 | 93b187d1210ab67a0ad65c8796a4fda6 |
|
BLAKE2b-256 | 324118aa5a9fe193ae5b7d9ec8eef8ef4b9488f742e1ed47c38968e91d5507f8 |
File details
Details for the file pyjabi-0.1.1-cp311-cp311-musllinux_1_1_x86_64.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp311-cp311-musllinux_1_1_x86_64.whl
- Upload date:
- Size: 923.2 kB
- Tags: CPython 3.11, musllinux: musl 1.1+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e2ab4785dd2d602b7e031a5b12f82f256e02dcf97b95147379e457b1b099c32c |
|
MD5 | 68a593feecce72cb721e99d9fd509816 |
|
BLAKE2b-256 | ca190b4d7f81745cce74ebc02e64468632499f02754301e65c6808fc2f4f4497 |
File details
Details for the file pyjabi-0.1.1-cp311-cp311-musllinux_1_1_i686.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp311-cp311-musllinux_1_1_i686.whl
- Upload date:
- Size: 967.3 kB
- Tags: CPython 3.11, musllinux: musl 1.1+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 87da82b9159c26ca96e1fc70a8346f2834bd538af9b2c9926eaff5cfd3e900d8 |
|
MD5 | 24bce41f41f96759aa2cdec409eaf15e |
|
BLAKE2b-256 | fd6208ba07f632344e53b7c3a627443b905cc581e1a6b4e70a60cfb75df228f0 |
File details
Details for the file pyjabi-0.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 416.5 kB
- Tags: CPython 3.11, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | eccc799e377ec294a15903a8707a97f16a63b06b071f556b061cc2e5aa6eaa9e |
|
MD5 | 6b890a0d87f25fc43f8f2bb8d671e59a |
|
BLAKE2b-256 | de232b479373a4644f5cbf1208aa03975e11f92e423cb04edaff25ee81acb8e5 |
File details
Details for the file pyjabi-0.1.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
- Upload date:
- Size: 411.4 kB
- Tags: CPython 3.11, manylinux: glibc 2.17+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4638408e150c981e394a86fd1d072f4f260a0e6d870958ed3e9b263332a23453 |
|
MD5 | d8e8a9c31bac57f329e6d3dee9f1f740 |
|
BLAKE2b-256 | e5f089f83a7a50b50934ea82dc6c504e958145a407353d508fff7638531a0350 |
File details
Details for the file pyjabi-0.1.1-cp311-cp311-macosx_11_0_arm64.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp311-cp311-macosx_11_0_arm64.whl
- Upload date:
- Size: 220.9 kB
- Tags: CPython 3.11, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | dc6cca6ec834518294dd58bab1d8d811d8dc8fd1f04f83ccfc8273234d46a19f |
|
MD5 | 462411999c0cfde9497515b6e1f85328 |
|
BLAKE2b-256 | abe929d59c4245f95af21af15df4995fb62c5d222a18c953c1f788446f02962c |
File details
Details for the file pyjabi-0.1.1-cp311-cp311-macosx_10_9_x86_64.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp311-cp311-macosx_10_9_x86_64.whl
- Upload date:
- Size: 230.1 kB
- Tags: CPython 3.11, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5e5ca4e11fe964fd8ea2eeddb54bab12aa38e4ad79dd53101e9377426876d6e8 |
|
MD5 | fc6f83db330630fcb35068d98c8017ed |
|
BLAKE2b-256 | 7f730e3d54fe76a30ffbb1a76e24b3ab03c0c06b4a263ac8ab8cb8759c9fff9d |
File details
Details for the file pyjabi-0.1.1-cp310-cp310-win_amd64.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp310-cp310-win_amd64.whl
- Upload date:
- Size: 184.0 kB
- Tags: CPython 3.10, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b5ccc913e652a9bdf0c4a24e176ce2ad19a5bb9d476e5336a11973b365d00130 |
|
MD5 | a52ad91c58f63b9a924b66080b3fe280 |
|
BLAKE2b-256 | ffa46c5723870d703a576e7db936cdd11088ea55828a1e6f5a3512b8f99503e8 |
File details
Details for the file pyjabi-0.1.1-cp310-cp310-win32.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp310-cp310-win32.whl
- Upload date:
- Size: 152.2 kB
- Tags: CPython 3.10, Windows x86
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 66e81694241f94ee5f4725b92beaa5282cbb2fbd0669e966807ad975e87bee10 |
|
MD5 | df79f7eee4f12d089f12f3bdf434993c |
|
BLAKE2b-256 | 1da9db9d6fdd73870afe15afa10bbca303886761f98617aa6bece2c3e0c607d9 |
File details
Details for the file pyjabi-0.1.1-cp310-cp310-musllinux_1_1_x86_64.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp310-cp310-musllinux_1_1_x86_64.whl
- Upload date:
- Size: 920.5 kB
- Tags: CPython 3.10, musllinux: musl 1.1+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 97f788a0cb433b3f579d3897df0eb3846ac8d9f8712e4509eb67c6dcae89aea0 |
|
MD5 | e4999f0614e58f5a064f0abb963339e1 |
|
BLAKE2b-256 | 445a56e76c1216269abebd752a51e8569105ec76e1f6008dc28b30215f9b3903 |
File details
Details for the file pyjabi-0.1.1-cp310-cp310-musllinux_1_1_i686.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp310-cp310-musllinux_1_1_i686.whl
- Upload date:
- Size: 966.3 kB
- Tags: CPython 3.10, musllinux: musl 1.1+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 82fec15625c19c8ef5777a197cc6075255256d95c59e0506450fe4fc3a05a92c |
|
MD5 | f18b23f56c6355e31e1f8f6b6c86b025 |
|
BLAKE2b-256 | 460f7f22f12bd172befec9f3d319d7184e780a1379843c881cf948b656861af7 |
File details
Details for the file pyjabi-0.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 415.6 kB
- Tags: CPython 3.10, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | eb40758eaaa80f0d8b897c4dc6099f42af739cc771fd0050b724c4dbefeccc4c |
|
MD5 | 301e2745e10b42f77d15f8f46189766b |
|
BLAKE2b-256 | 75750e04bf190e4d90902a3c1d3075dabc2461e8eadcc35dda3018e5c5d06f89 |
File details
Details for the file pyjabi-0.1.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
- Upload date:
- Size: 409.9 kB
- Tags: CPython 3.10, manylinux: glibc 2.17+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 71209313c2b732448f1200cda5b5dc99cd9e266e24be0505ff36e3b40aebc904 |
|
MD5 | af4550aa1c1a2f4121a5aed150fe10f2 |
|
BLAKE2b-256 | 1bb6758b6ad88c4bd368e7f32bd85ac91071cddffec8205440832c91a1f0e6e9 |
File details
Details for the file pyjabi-0.1.1-cp310-cp310-macosx_11_0_arm64.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp310-cp310-macosx_11_0_arm64.whl
- Upload date:
- Size: 219.6 kB
- Tags: CPython 3.10, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2a110f8155dda1288b7c0c263f05fe29fcd50f7811dd95a0615d7b3cf8ff9ea5 |
|
MD5 | 2c0e6124bae0eb537f85c4cabab0c875 |
|
BLAKE2b-256 | 1fe5d914903e215edc0d7af5e3579df7d6ab6bf104f2afd1b4e84f227b6b23fa |
File details
Details for the file pyjabi-0.1.1-cp310-cp310-macosx_10_9_x86_64.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp310-cp310-macosx_10_9_x86_64.whl
- Upload date:
- Size: 228.4 kB
- Tags: CPython 3.10, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | afeabd8c7c6e1cdd317d496c0ef1930ae88fd912665421b0d705c75ea7e07a6f |
|
MD5 | 485a73ed3512020b96185d04fe62a79d |
|
BLAKE2b-256 | de3c41b0474879920bc0ea1a2c2c947c7143b7d9ad37fe38ef9dd166a1ed9354 |
File details
Details for the file pyjabi-0.1.1-cp39-cp39-win_amd64.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp39-cp39-win_amd64.whl
- Upload date:
- Size: 179.7 kB
- Tags: CPython 3.9, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 95fbd30afe6d76fda4f1c846c546d093b66409886e84cbbd6ca10ef42efcfc2e |
|
MD5 | 5087a9037e31a3504566aa4c576b8c7b |
|
BLAKE2b-256 | 74bb871b13d6ef339b98e1b79f7b9888dcd33ebdd25a64b3e57612cc060f347c |
File details
Details for the file pyjabi-0.1.1-cp39-cp39-win32.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp39-cp39-win32.whl
- Upload date:
- Size: 152.4 kB
- Tags: CPython 3.9, Windows x86
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 484cd9a0b89255bd8ca7c528de6b80ad68a2b091e1702f56414f565e2d82fe56 |
|
MD5 | c4e6194d8552d7da4d3d06cd199954a2 |
|
BLAKE2b-256 | 012691c8c5120899d7e7d37855de19789da65d96c79c281c4cdea4e9e5d08b72 |
File details
Details for the file pyjabi-0.1.1-cp39-cp39-musllinux_1_1_x86_64.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp39-cp39-musllinux_1_1_x86_64.whl
- Upload date:
- Size: 921.5 kB
- Tags: CPython 3.9, musllinux: musl 1.1+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e9735afbce88c93a862583ca817882f0071164e97e602320dca08f48c5a7f91f |
|
MD5 | 9b0566853bbd16bc45981b07608cc9f2 |
|
BLAKE2b-256 | 94a40d501034cb4ad58b68f817671811a6c9de83c7e04b21d28b6d25eac30a7b |
File details
Details for the file pyjabi-0.1.1-cp39-cp39-musllinux_1_1_i686.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp39-cp39-musllinux_1_1_i686.whl
- Upload date:
- Size: 966.5 kB
- Tags: CPython 3.9, musllinux: musl 1.1+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a9aa13d44360070ee7e49db1c6fc61ac1524e0f314b330b708610fff9bb5a8e3 |
|
MD5 | 72d72169abe4f3f0ea38a26129b2b1e5 |
|
BLAKE2b-256 | 358eca814247fd79eefa15acbbb8b3698eafd2aec945e08b5040560059e62fbd |
File details
Details for the file pyjabi-0.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 415.7 kB
- Tags: CPython 3.9, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 63f8a3bf743b50d70a9f1f39164b8290b10764b0906973a0f442d566ba358928 |
|
MD5 | 69335c9654bb52091c8c64c282b97bff |
|
BLAKE2b-256 | f4d4f50557d54e4e672252427f13de9305af903420aa83786b1885b303226849 |
File details
Details for the file pyjabi-0.1.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
- Upload date:
- Size: 410.1 kB
- Tags: CPython 3.9, manylinux: glibc 2.17+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3428181ac700c2a044450eb28f7675bcf05b2f9ebcf61dcb7de6bd325af12302 |
|
MD5 | 3f14344fe7d3f431e6397d48c4f18edd |
|
BLAKE2b-256 | 9cac18cc8ced9e2119fe6b446690acb245e6e6ee9c3ef5059a548c1522f74d7a |
File details
Details for the file pyjabi-0.1.1-cp39-cp39-macosx_11_0_arm64.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp39-cp39-macosx_11_0_arm64.whl
- Upload date:
- Size: 219.8 kB
- Tags: CPython 3.9, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0fe03bca8d0b109316e9aa56c7a3d20961cf908aa61a077d30449c15edb22c23 |
|
MD5 | abd479e3bd9b8ab1b3a6602f5da183dc |
|
BLAKE2b-256 | a6552e1c1e2a9e8fc850d95b4751e33d1f3a5c6845f638ea56553e58a6624da3 |
File details
Details for the file pyjabi-0.1.1-cp39-cp39-macosx_10_9_x86_64.whl
.
File metadata
- Download URL: pyjabi-0.1.1-cp39-cp39-macosx_10_9_x86_64.whl
- Upload date:
- Size: 228.5 kB
- Tags: CPython 3.9, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 972cecc92d50ee6919d7898e6134148618a4c71ba09a7cd195faf7bc494a1906 |
|
MD5 | 7e2d7beac496cf6ebf6bfdd4e6bdbe8d |
|
BLAKE2b-256 | bce88439b7f80d5c7c26fc8a6ee1f29142ff080c4f058733e02ee926d3b42927 |