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 0.0.1

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Source distribution (sdist)

Source distribution for rmc-util 0.0.1
File	Size	Uploaded
rmc_util-0.0.1.tar.gz	101.4 kB	Oct 7, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for rmc-util 0.0.1
File	Interpreter	ABI	Platform	Reset
rmc_util-0.0.1-py3-none-any.whl 112.3 kB Oct 7, 2026	Python 3	none	any	Details

Total release size: 213.7 kB

Release files / rmc_util-0.0.1.tar.gz

Download URL	rmc_util-0.0.1.tar.gz
Size	101.4 kB
Tags	Source
SHA-256 checksum How to use checksums	`d55d529ea5fd3537aefe1e8c8bd3c095abef4959f3a738860510241158486583`
BLAKE2b-256 checksum How to use checksums	`7c3ecc81062faf5558a74a69b4e6081f82a07b20b2334dc6772c7e7932a37b48`
Upload date	Oct 7, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

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Publishing platform: GitHub Actions
Publishing repository: github.com/ohara-lab-su/rmc_util
Publishing commit: github.com/ohara-lab-su/rmc_util/tree/0766bb7a9a5b689b4ab620440d60f221d29e903a

Workflow

Publishing configuration: github.com/ohara-lab-su/rmc_util/blob/0766bb7a9a5b689b4ab620440d60f221d29e903a/.github/workflows/publish-pypi.yml
Publishing logs: github.com/ohara-lab-su/rmc_util/actions/runs/37607772319/attempts/1

Artifact

Subject: rmc_util-0.0.1.tar.gz
SHA-256 checksum: d55d529ea5fd3537aefe1e8c8bd3c095abef4959f3a738860510241158486583 Verifying attestations

Release files / rmc_util-0.0.1-py3-none-any.whl

Download URL	rmc_util-0.0.1-py3-none-any.whl
Size	112.3 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`9d9c73bf108f662ff95bba4f5083c096ebfe4f7218d4003e628d6ee2258e281b`
BLAKE2b-256 checksum How to use checksums	`f1ad321aa5e565faa5750843dfb7f16b08ccdd5baa1c4c44f71a1b8bbeaf14fb`
Upload date	Oct 7, 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/0766bb7a9a5b689b4ab620440d60f221d29e903a

Workflow

Publishing configuration: github.com/ohara-lab-su/rmc_util/blob/0766bb7a9a5b689b4ab620440d60f221d29e903a/.github/workflows/publish-pypi.yml
Publishing logs: github.com/ohara-lab-su/rmc_util/actions/runs/37607772319/attempts/1

Artifact

Subject: rmc_util-0.0.1-py3-none-any.whl
SHA-256 checksum: 9d9c73bf108f662ff95bba4f5083c096ebfe4f7218d4003e628d6ee2258e281b Verifying attestations