rmc_util

rmc_util is a Python library for preparing RMC_POT input files, converting atomic configurations, and reading and analyzing simulation results.

It provides modules for simulation parameters (.dat), atomic configurations (.cfg), structural constraints, fitting results, histories, and partial pair correlation functions.

Installation

Run from the repository root:

pip install .

Modules

Area	Modules
RMC_POT operations	`rmc_pot`
Parameter files	`rmc_pot_dat`, `rmc_pot_dat_fixed`, `rmc_pot_dat_free`
Constraints and topology	`rmc_pot_dat_fnc`, `rmc_pot_dat_top`, `rmc_pot_snc`
Results and analysis	`rmc_pot_fit`, `rmc_pot_hst`, `rmc_pot_log`, `rmc_pot_ppcf`
Conversions and utilities	`util`

Documentation

See the documentation home for RMC concepts, input and output formats, structural constraints, and the Python API. Build HTML with docs/build.sh.

Reference

Orsolya Gereben, RMC_POT user guide for version 2023.1 (2023).

日本語

Metadata

Release files for rmc-util 0.0.4

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Source distribution (sdist)

Source distribution for rmc-util 0.0.4
File	Size	Uploaded
rmc_util-0.0.4.tar.gz	105.4 kB	Oct 12, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for rmc-util 0.0.4
File	Interpreter	ABI	Platform	Reset
rmc_util-0.0.4-py3-none-any.whl 116.5 kB Oct 12, 2026	Python 3	none	any	Details

Total release size: 221.9 kB

Release files / rmc_util-0.0.4.tar.gz

Download URL	rmc_util-0.0.4.tar.gz
Size	105.4 kB
Tags	Source
SHA-256 checksum How to use checksums	`d7a56ec6dadfa91791975d70a8944723b5ea80cb8335cb108c5d6a5cc9570749`
BLAKE2b-256 checksum How to use checksums	`779515a5fa725392cc0c87419159a934d9f9ba174eadd84a194b2ca6541e4ada`
Upload date	Oct 12, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

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Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/ohara-lab-su/rmc_util
Publishing commit: github.com/ohara-lab-su/rmc_util/tree/fcc80525fcaf5934957f90db5e267cc8a509e2b9

Workflow

Publishing configuration: github.com/ohara-lab-su/rmc_util/blob/fcc80525fcaf5934957f90db5e267cc8a509e2b9/.github/workflows/publish-pypi.yml
Publishing logs: github.com/ohara-lab-su/rmc_util/actions/runs/38188259773/attempts/1

Artifact

Subject: rmc_util-0.0.4.tar.gz
SHA-256 checksum: d7a56ec6dadfa91791975d70a8944723b5ea80cb8335cb108c5d6a5cc9570749 Verifying attestations

Release files / rmc_util-0.0.4-py3-none-any.whl

Download URL	rmc_util-0.0.4-py3-none-any.whl
Size	116.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`21ce82900038de82f403e2fb01755ddc3cc16c3506dd5b7552cf1af9024e7f57`
BLAKE2b-256 checksum How to use checksums	`dac92fb0cfeb33af2379260c9a85fb8b4b152c6a49cdeabc9556eab1e92712f1`
Upload date	Oct 12, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/ohara-lab-su/rmc_util
Publishing commit: github.com/ohara-lab-su/rmc_util/tree/fcc80525fcaf5934957f90db5e267cc8a509e2b9

Workflow

Publishing configuration: github.com/ohara-lab-su/rmc_util/blob/fcc80525fcaf5934957f90db5e267cc8a509e2b9/.github/workflows/publish-pypi.yml
Publishing logs: github.com/ohara-lab-su/rmc_util/actions/runs/38188259773/attempts/1

Artifact

Subject: rmc_util-0.0.4-py3-none-any.whl
SHA-256 checksum: 21ce82900038de82f403e2fb01755ddc3cc16c3506dd5b7552cf1af9024e7f57 Verifying attestations