Metadata-Version: 2.4
Name: integrate_module
Version: 0.97.0
Summary: Localized probabilistic data integration
Author-email: Thomas Mejer Hansen <tmeha@geo.au.dk>
License: MIT
Project-URL: Homepage, https://github.com/cultpenguin/integrate_module
Project-URL: Documentation, https://cultpenguin.github.io/integrate_module/
Project-URL: Repository, https://github.com/cultpenguin/integrate_module
Project-URL: Issues, https://github.com/cultpenguin/integrate_module/issues
Keywords: inversion,electromagnetic,geophysics,geology,prior,tarantola
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: h5py
Requires-Dist: scipy
Requires-Dist: psutil
Requires-Dist: tqdm
Requires-Dist: requests
Requires-Dist: geoprior1d>=0.9
Requires-Dist: ga-aem-forward-win; platform_system == "Windows"
Requires-Dist: jupyter>=1.0.0
Requires-Dist: jupytext
Requires-Dist: pandas
Requires-Dist: pyvista
Provides-Extra: dev
Requires-Dist: pytest; extra == "dev"
Requires-Dist: black; extra == "dev"
Dynamic: license-file

# INTEGRATE Python Module

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[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/)

This repository contains the INTEGRATE Python module for localized probabilistic data integration in geophysics.


## Installation

Assuming you already have Python 3.10+ installed:

`libaarhusxyz` must be installed manually before installing `integrate_module`, because the version that supports Python >= 3.12 is only available on GitHub (not PyPI):

    pip install git+https://github.com/cultpenguin/libaarhusxyz
    pip install integrate_module

On Windows, this will also install the Python wrapper for GA-AEM (1D EM forward modeling - GPL v2 code): [ga-aem-forward-win](https://pypi.org/project/ga-aem-forward-win/)

On Linux/macOS, you will need to install GA-AEM manually.

### Using pip (from PyPI, on Ubuntu)

    # Install python3 venv
    sudo apt install python3-venv
    
    # Create virtual environment
    python3 -m venv ~/integrate
    source ~/integrate/bin/activate
    pip install --upgrade pip
    
    # Install integrate module
    pip install integrate_module
    
### Using pip (from source, on Ubuntu)

    # Install python3 venv
    sudo apt install python3-venv

    # Create virtual environment
    python3 -m venv ~/integrate
    source ~/integrate/bin/activate
    pip install --upgrade pip

    # Install integrate module
    cd path/to/integrate_module
    pip install -e .

### Using Conda + pip (from PyPI)

Create a Conda environment (called integrate) and install the required modules: 

    conda create --name integrate python=3.10 numpy pandas matplotlib scipy tqdm requests h5py psutil
    conda activate integrate
    pip install integrate_module
    
    
### Using Conda + pip (from source)

Create a Conda environment (called integrate) and install the required modules: 

    conda create --name integrate python=3.10 numpy pandas matplotlib scipy tqdm requests h5py psutil
    conda activate integrate
    pip install -e .


## GA-AEM

In order to use GA-AEM for forward EM modeling, the 'gatdaem1d' Python module must be installed. Follow instructions at [https://github.com/GeoscienceAustralia/ga-aem](https://github.com/GeoscienceAustralia/ga-aem) or use the information below.


### PyPI package for Windows

On Windows, the [ga-aem-forward-win](https://pypi.org/project/ga-aem-forward-win/) package will be automatically installed, providing access to the GA-AEM forward code. It can be installed manually using:

    pip install ga-aem-forward-win

### Pre-compiled Python module for Windows

1. Download the pre-compiled version of GA-AEM for Windows from the latest release: https://github.com/GeoscienceAustralia/ga-aem/releases (GA-AEM.zip)

2. Download precompiled FFTW3 Windows DLLs from https://www.fftw.org/install/windows.html (fftw-3.3.5-dll64.zip)

3. Extract both archives:
   - `unzip GA-AEM.zip` to get GA-AEM
   - `unzip fftw-3.3.5-dll64.zip` to get fftw-3.3.5-dll64

4. Copy FFTW3 DLLs to GA-AEM Python directory:

    cp fftw-3.3.5-dll64/*.dll GA-AEM/python/gatdaem1d/

5. Install the Python gatdaem1d module:

```
cd GA-AEM/python/
pip install -e .

# Test the installation
cd examples
python integrate_skytem.py
```


### Compile GA-AEM Python module on Debian/Ubuntu/Linux

A script that downloads and installs GA-AEM is located in `scripts/cmake_build_script_DebianUbuntu_gatdaem1d.sh`. This script has been tested and confirmed to work on both Debian and Ubuntu distributions. Be sure to use the appropriate Python environment and then run:

    sh scripts/cmake_build_script_DebianUbuntu_gatdaem1d.sh
    cd ga-aem/install-ubuntu/python
    pip install .
    
### Compile GA-AEM Python module on macOS/Homebrew

First install Homebrew, then run: 

    sh ./scripts/cmake_build_script_homebrew_gatdaem1d.sh
    cd ga-aem/install-homebrew/python
    pip install .


## Development

The `main` branch is the most stable, with less frequent updates but larger changes.

The `develop` branch contains the current development code and may be updated frequently. Some functions and examples may be broken.

An extra set of tests and examples are located in the ``experimental`` sub-branch `https://github.com/cultpenguin/integrate_module_experimental/ <https://github.com/cultpenguin/integrate_module_experimental/>`_.
Please ask the developers for access to this branch if needed. To clone the main repository with the experimental branch, use:

    git clone --recurse-submodules git@github.com:cultpenguin/integrate_module.git

You may need to run the following command to update the submodules:

    cd experimental
    git submodule update --init --recursive

