Skip to main content

No project description provided

Project description

opm-origen

Bulding with docker-compose

First, create an env variables file by copying config.env.example into config.env:

$> cp config.env.example config.env

If you wish to publish the package in pypi, you will have to obtain a pypi token and set the environment variable PYPI_API_TOKEN in config.env.

After that, you can simply use docker-compose to run commands:

docker-compose run build 

Building the package without docker/docker-compose

Prerequisites

  • Install make, cmake and g++
  • Build/Install Opm-Common
  • Build/Install Opm-Grid

Install opm packages

sudo apt-add-repository ppa:opm/ppa
sudo apt-get update

sudo apt-get install libopm-common-dev
sudo apt-get install libopm-grid-dev

How to build

git clone git@github.com:OriGenAI/opm-origen.git
cd opm-origen
mkdir build
cd build
cmake ..
make

How to use

  • Copy the binary under build/lib folder
  • Import the binary from your Python code
  • Call the library functions

Examples

from origen.ai.ecl import read_transmissibility

trans = read_transmissibility("path-to-data.DATA")
print(trans)

Develop

You can use the main.cpp file to debug. Just call your function from there and compile the code. You will find the binary in build/bin/main

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

origen_ai_ecl-0.2.5.tar.gz (192.8 kB view details)

Uploaded Source

Built Distribution

origen_ai_ecl-0.2.5-py3-none-any.whl (193.1 kB view details)

Uploaded Python 3

File details

Details for the file origen_ai_ecl-0.2.5.tar.gz.

File metadata

  • Download URL: origen_ai_ecl-0.2.5.tar.gz
  • Upload date:
  • Size: 192.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.4.2 CPython/3.8.13 Linux/6.1.11-100.fc36.x86_64

File hashes

Hashes for origen_ai_ecl-0.2.5.tar.gz
Algorithm Hash digest
SHA256 54658f6635d45089c7984f90ea1ec242f147c971f983e0017575a0d126d37349
MD5 74ecccb89e0f8866e33ec1db9e143016
BLAKE2b-256 d1615c285ccd5b7fb08df1509e30d377d28c8ab698b4b38a1ce7892ce619f8b6

See more details on using hashes here.

File details

Details for the file origen_ai_ecl-0.2.5-py3-none-any.whl.

File metadata

  • Download URL: origen_ai_ecl-0.2.5-py3-none-any.whl
  • Upload date:
  • Size: 193.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.4.2 CPython/3.8.13 Linux/6.1.11-100.fc36.x86_64

File hashes

Hashes for origen_ai_ecl-0.2.5-py3-none-any.whl
Algorithm Hash digest
SHA256 a907d0d4ad40e7ff0571646039e1fe8bc26df9893575acc884f1b1b86f78ed83
MD5 6a4d4146549d36bdff9d670ddd161fb1
BLAKE2b-256 70299b4423b56b40663686a1e651376ac78b40948a5a06e3e660ab3b26706d56

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