Skip to main content

High-performance Rust-backed calculations for FERS.

Project description

FERS_calculations

FERS_calculations is a high-performance library for Rust-backed calculations in mechanical engineering. It can process JSON input files to deliver fast and accurate results. While it can be run as a standalone tool, integration with FERS_core simplifies input creation and workflow management.

Features

  • Standalone Functionality: Run directly by providing a valid JSON input file.
  • Rust-Powered Performance: Designed for speed and reliability in computational tasks.
  • Python Integration: Seamless integration with FERS_core for easy preprocessing and result handling.
  • Engineer-Friendly Design: Minimal coding effort required for complex structural engineering calculations.

Installation

pip install fers_calculations

This installs the pre-built Rust bindings -- no Rust toolchain required.

Usage

Standalone (Python)

You can call fers_calculations directly from Python without FERS_core:

import fers_calculations

# Load your JSON input
with open("001_cantilever_with_end_load.json") as f:
    json_data = f.read()

# Run the analysis
results_json = fers_calculations.calculate_from_json(json_data)

# Save the results
with open("results.json", "w") as f:
    f.write(results_json)

With FERS_core (recommended)

For a more ergonomic workflow, install FERS_core which handles model creation, calling the Rust engine, and post-processing / visualisation:

pip install fers-core
from fers_core import FERS

model = FERS.from_json("001_cantilever_with_end_load.json")
model.calculate()
model.plot_results_3d()

See FERS_core on PyPI for full documentation.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

fers_calculations-0.2.37-cp39-abi3-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.9+Windows x86-64

fers_calculations-0.2.37-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.5 MB view details)

Uploaded CPython 3.9+manylinux: glibc 2.17+ x86-64

fers_calculations-0.2.37-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (5.1 MB view details)

Uploaded CPython 3.9+macOS 10.12+ universal2 (ARM64, x86-64)macOS 10.12+ x86-64macOS 11.0+ ARM64

File details

Details for the file fers_calculations-0.2.37-cp39-abi3-win_amd64.whl.

File metadata

File hashes

Hashes for fers_calculations-0.2.37-cp39-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 cab9fb8d461262218b58eaae9b7ec1a94aef4c80eb030d2fca965c5fb4d73e56
MD5 4b0fdf38f59ae3bd93d9113ee3d21a3d
BLAKE2b-256 4a890ad32ee0e6de86ce4decfa7314257782d665d573b2132d503103b97de9b4

See more details on using hashes here.

File details

Details for the file fers_calculations-0.2.37-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for fers_calculations-0.2.37-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 20b410b44e0b79fb049f47ed8a8d671980cd556a469f4dfa98450e68b28cf10d
MD5 16c88dda3b006e93400e6aed837734de
BLAKE2b-256 4844b77f3a613df5d2dada683e22d211199bbed9d8da416e482007b149a90389

See more details on using hashes here.

File details

Details for the file fers_calculations-0.2.37-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for fers_calculations-0.2.37-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 92ec678d463a73491f3e7e8a76d2d13fbf47198a32a228b08c893120593a445a
MD5 5359ebddb8ff9ced302f06037d86ecbc
BLAKE2b-256 55ab4791df75026905f6997291c7a30287796ef4e616c628be7864b329284b2d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page