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-0.2.46-cp39-abi3-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.9+Windows x86-64

fers_calculations-0.2.46-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-0.2.46-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (5.3 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-0.2.46-cp39-abi3-win_amd64.whl.

File metadata

File hashes

Hashes for fers_calculations-0.2.46-cp39-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 f3a166b69ca3bb928138948ecc9ad08f9cf002bdeef62b7edca614d9894fc946
MD5 e8d8aa7c9cd4ccabdd220adeac719bfa
BLAKE2b-256 628e6e314f658681bf10ef993b41b82491dd3bf655f69fe3d08fd949c1e4f72c

See more details on using hashes here.

File details

Details for the file fers_calculations-0.2.46-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for fers_calculations-0.2.46-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f08187b3ff259037dc1e2920af346e2469136a2400544e41aa96ce276aa7e066
MD5 8e4cb89a19b15e490a6005955dfa551f
BLAKE2b-256 0ba79c05cce2c9546ac7c5f7e4d0ea3100b59f33f7ce1612cfcdd82261fa3772

See more details on using hashes here.

File details

Details for the file fers_calculations-0.2.46-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for fers_calculations-0.2.46-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 7aa75450ff9160b4092bfe44b66e288e7734e14a1edfbfa60ddc60cab1be94e8
MD5 5eddf8cc326e55ed3919e8b4b3c10671
BLAKE2b-256 72ae96844fae13afa5241f69e3bda53605145062874805ccbe06c342c39c13f1

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