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-0.2.45-cp39-abi3-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.9+Windows x86-64

fers_calculations-0.2.45-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.7 MB view details)

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

fers_calculations-0.2.45-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (5.2 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-0.2.45-cp39-abi3-win_amd64.whl.

File metadata

File hashes

Hashes for fers_calculations-0.2.45-cp39-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 026a5cbdc61b0a0737d5ac6726c27ffd3162d0a2b41e797ab33e8a6beee99cbf
MD5 0cc88567068e07a488228fde9c4ca5fc
BLAKE2b-256 5d10143834e00e92e0ba20e98876b42086f167b63b457da516f8ed3f4212b3db

See more details on using hashes here.

File details

Details for the file fers_calculations-0.2.45-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for fers_calculations-0.2.45-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 326429571901988c247546b5619476af8e13acb76d1ef9a5d2c70ddd4da0c9f9
MD5 3e5d8df0eadeb060ed7f4b959b6cf527
BLAKE2b-256 b4e2e1cf4df7ef270c1ea61554299d6075348db16f85f47f9d92ce8c0a607f67

See more details on using hashes here.

File details

Details for the file fers_calculations-0.2.45-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for fers_calculations-0.2.45-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 e61471954fd97d8b99a5fb984a6971619f2a6f5aaddcfe1184057d3d422ff0d1
MD5 4b0107d608ddb5c5a60edcaca6bd04fa
BLAKE2b-256 33ab1ac4ac9fc729d50308199dc81db4861e4442340e3f782bb8a9c856099f7f

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