semvec/pypi-packages huggingface dataset:
Virtual-MMC 0.1.2
A brief description of your package
License: MIT

# VMMC

README for VMMC Model Package
Overview
The VMMC (Virtual Move Monte Carlo) Model package is a Python tool designed for simulating the dynamics of particles with specific interactions in a confined space. It is particularly suited for modeling the movement and interaction of biological macromolecules or any system where particles are subject to specific interaction rules. The package leverages NumPy for efficient numerical computations and Matplotlib for visualization, including 3D animations to observe the system's evolution over time.

Features
Customizable Interactions: Define specific interaction strengths between particle types.
3D Visualization: Utilize Matplotlib to create dynamic 3D animations of particle movements within a confined space.
Periodic Boundary Conditions: Apply periodic boundary conditions to simulate an infinite system effect within a finite space.
Energy-Based Movement: Implement a Metropolis criterion for particle movement based on the change in system energy, allowing for a realistic simulation of physical processes.

# Installation
This package requires Python 3.6 or later, along with the NumPy and Matplotlib libraries. You can install these dependencies using pip:

pip install numpy matplotlib

# Usage
To use the VMMC Model, first import the necessary libraries:

import numpy as np
import matplotlib.pyplot as plt
from vmmc_model import VMMC_model

Then, define your system's parameters, including the types of particles, interaction strengths, and colors for visualization:

base_types_strands = [np.array(['A', 'T', 'C', 'G', ...]), ...]
interaction_strengths = {('A', 'T'): 1.0, ('G', 'C'): 1.5, ...}
base_colors_dict = {'A': 'red', 'T': 'blue', 'C': 'yellow', 'G': 'green'}
base_colors = np.array([base_colors_dict[base] for strand in base_types_strands for base in strand])

Instantiate the model with your defined parameters:

vmmc_model = VMMC_model(base_types_strands, interaction_strengths, base_colors)


Finally, run the simulation and visualize the results:

vmmc_model.animate(frames=100, interval=50)
vmmc_model.save_animation('your_animation_file.mp4')

# Contributing
Contributions to the VMMC Model package are welcome. Please fork the repository, make your changes, and submit a pull request for review.

# License
This project is licensed under the MIT License - see the LICENSE file for details.

# Contact
For questions or support, please contact [james.broster@st-annes.ox.ac.uk].
package-sum-elements 0.1
A package to calculate the sum of elements in a list
License: MIT
Keywords: sum,elements,list

# Sum Elements Package

A package to calculate the sum of elements in a list.

## Installation

You can install the package using pip:

```bash
pip install sum-elements-package


## Usage

from sum_elements import sum_elements

my_list = [1, 2, 3, 4, 5]
result = sum_elements.sum_elements(my_list)
print(result)  # Output: 15