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-0.2.0.tar.gz (191.6 kB view details)

Uploaded Source

Built Distribution

origen_ai_ecl-0.2.0-py3-none-any.whl (191.9 kB view details)

Uploaded Python 3

File details

Details for the file origen_ai_ecl-0.2.0.tar.gz.

File metadata

  • Download URL: origen_ai_ecl-0.2.0.tar.gz
  • Upload date:
  • Size: 191.6 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-0.2.0.tar.gz
Algorithm Hash digest
SHA256 b938619f33e9930557911c6c373cd9dcf5634296caf0ed046827b8e5cc3ed9d1
MD5 89ecfc346149b35c31fd3886047a974d
BLAKE2b-256 323b28616c04092eae84b0fe79b9b3f8aac268e92d8abe4b991362ed7d8526dd

See more details on using hashes here.

File details

Details for the file origen_ai_ecl-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: origen_ai_ecl-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 191.9 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-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c852745b9c462c3c0d7ef97a49fab0e733ebc797477b7c28aa9781f3c979464a
MD5 4322c7b5ee52b1247327f4ed2971eba8
BLAKE2b-256 5666d83c1137477a12dea5801ff8afccd25083f6bfd516ee954a97f14ea85f55

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