Skip to main content

PyMEOS wrapper for the MEOS C Library.

Project description

PyMEOS CFFI

MEOS Logo

MEOS (Mobility Engine, Open Source) is a C library which enables the manipulation of temporal and spatio-temporal data based on MobilityDB's data types and functions.

PyMEOS CFFI is a Python library that wraps the MEOS C library using CFFI, providing a set of python functions that allows to use all MEOS functionality while automatically taking care of conversions between basic Python and C types (such as Python's str to C's char *).

This library is not meant to be used directly by the user, since most of the functions receive or return C objects (CFFI's cdata type).

The PyMEOS library is built on top of this library and exposes all the functionality of MEOS through a set of Python classes.

Usage

Installation

pip install pymeos-cffi

Source installation

If the pre-built distribution is not available for your system, pip will try to make source distribution. For that, you will need to make sure you have the following requirements:

If the installation fails, you can submit an issue in the PyMEOS issue tracker

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

pymeos_cffi-1.1.0a4.tar.gz (48.7 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

pymeos_cffi-1.1.0a4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.6 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

pymeos_cffi-1.1.0a4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.6 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

pymeos_cffi-1.1.0a4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.6 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

pymeos_cffi-1.1.0a4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.6 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

pymeos_cffi-1.1.0a4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.6 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

File details

Details for the file pymeos_cffi-1.1.0a4.tar.gz.

File metadata

  • Download URL: pymeos_cffi-1.1.0a4.tar.gz
  • Upload date:
  • Size: 48.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for pymeos_cffi-1.1.0a4.tar.gz
Algorithm Hash digest
SHA256 24795451e04a3f71a292f426fbabf3790f7d12db85c4ba7f8c339d583c3387b5
MD5 baa57bc2d29278d68e0a04b2b7d0c184
BLAKE2b-256 de0d001444feaf3cb8b505109c3c4a622f56be0db03a31aeceb9ae6a27654fee

See more details on using hashes here.

File details

Details for the file pymeos_cffi-1.1.0a4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymeos_cffi-1.1.0a4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 10f11074aa2f572c6eb320adffb1cdf7e47a328e40fb06276b511d5fcb9d62bb
MD5 341a83bb3e742ab048f4eb0ecdf3548e
BLAKE2b-256 bc228be5f432ee2c9809c7f16c3e03403374b3a079a781b07d550b9e48e2df22

See more details on using hashes here.

File details

Details for the file pymeos_cffi-1.1.0a4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymeos_cffi-1.1.0a4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bc8d8059f1154e073e9ebe47eb613b4b0773e683c354653432079d04bdc26ff9
MD5 1470802ea7c695e8cd60952d7190e92b
BLAKE2b-256 1a1b0b955369db2d30496b7d0b8f984b96eee12bd78353480bed79b1b0ebefea

See more details on using hashes here.

File details

Details for the file pymeos_cffi-1.1.0a4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymeos_cffi-1.1.0a4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d7aab6bf499335b6110ba2bae9eb12e4b1f41d0d90f3fdfb5d1c78791b127625
MD5 3985d7479ed67cb03082f8a4935084d1
BLAKE2b-256 989a9da227ac6c5c5f389044254edb7d1e227261df369be67bce8e7b86285287

See more details on using hashes here.

File details

Details for the file pymeos_cffi-1.1.0a4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymeos_cffi-1.1.0a4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 50592d5fca0f6531a9b8f5400229d1304f2dc9f7eaaa9d0f4d07742b893500a7
MD5 68214b320a38f2a9970d6b5d2cf0c38d
BLAKE2b-256 5307fc505b484144317405e93173e180824f0f1aec260d4b3256864840fa9e98

See more details on using hashes here.

File details

Details for the file pymeos_cffi-1.1.0a4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymeos_cffi-1.1.0a4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e4e98b05de4b4ca476e6e9b3b0fed2aa476af3c083d38139b0c9fe055eeb3196
MD5 aa172f78b2bd11c98da05fc41d2df7d1
BLAKE2b-256 5716daab678361fad9887a3b92e0e148854e42f87fe64bffe4cafac4f3bc3076

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page