scikit-mps

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scikit-mps is a Python interface to MPSlib, https://github.com/ergosimulation/mpslib/, which is a C++ library for geostatistical multiple point simulation, with implementations of ‘SNESIM’, ‘ENESIM’, and ‘GENESIM’

It contains three modules:

mpslib: Interacts with MPSlib
eas: read and write EAS/GSLIB formatted files
trainingimages: Access to a number of trainingimages

import mpslib as mps
O=mps.mpslib(method='mps_snesim_tree')
O.run()
O.plot_reals()
O.plot_etype()

PyPI

<http://pypi.python.org/pypi/scikit-mps>

Requirements

Numpy >= 1.0.2
Matplotlib >= 1.0.2
MPSlib needs to be downloaded, installed, and in the system path (https://github.com/ergosimulation/mpslib/) [Any 11 C++11 compiler should work, such as gcc, MinGW, MSVC]

Installing

Via pip:
```
pip install scikit-mps
```

optionally download and reinstall:

import mpslib as mps
O=mps.mpslib
O.compile_mpslib()

From source code

cd ROOT_OF_MPSLIB/python
pip install .
cd ROOT_OF_MPSLIB
make clean
make

If you wish to develop the scikit-mps package, then install it in editable developer mode using

pip install -e .

Metadata

Release files for scikit-mps 0.6.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for scikit-mps 0.6.0
File	Size	Uploaded
scikit-mps-0.6.0.tar.gz	5.1 MB	Apr 5, 2024	Details

Built distribution (wheel)

Table of built distributions (wheels) for scikit-mps 0.6.0
File	Interpreter	ABI	Platform	Reset
scikit_mps-0.6.0-py2.py3-none-any.whl 5.1 MB Apr 5, 2024	Python 2, Python 3	none	any	Details

Total release size: 10.3 MB

Release files / scikit-mps-0.6.0.tar.gz

Download URL	scikit-mps-0.6.0.tar.gz
Size	5.1 MB
Tags	Source
SHA-256 checksum How to use checksums	`9dfe36080ad7f9ee5556877c34171128117e7bce21fc0f0dc30b70102efb659a`
BLAKE2b-256 checksum How to use checksums	`9e2dd1e085bf376477a613318bc59d264e1ccc5a600b3122acc44496e854def8`
Upload date	Apr 5, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.9.15`

Release files / scikit_mps-0.6.0-py2.py3-none-any.whl

Download URL	scikit_mps-0.6.0-py2.py3-none-any.whl
Size	5.1 MB
Tags	Python 2 Python 3
SHA-256 checksum How to use checksums	`5a35cceb2fd6019d2ab25745d36165ff0a5f6a422d51c2f3a74ba784caa303c2`
BLAKE2b-256 checksum How to use checksums	`38e8331e91161e943d45f0de997b30b3447fbe16e5f608bdca9908ab703cdf41`
Upload date	Apr 5, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.9.15`