semvec/pypi-packages huggingface dataset:
mcspy 1.3.1
A Python Library for Mobile Crowdsensing Problems
License: MIT

===================
mcspy
===================

A Python Library for Mobile Crowdsensing Problems,
with random, Epsilon-Greedy and New_MAB methods to build a MCS system and its group.

----------------
Installation
----------------

::

    pip install mcspy

----------------
Author contact
----------------

Han Yaohui

1407210129@csu.edu.cn

----------------
PyPI Address
----------------

https://pypi.org/project/mcspy/

----------------
Source Code
----------------

see https://github.com/Han-0107/mcspy

----------------
Script example
----------------

https://github.com/Han-0107/New_MAB_in_MCS

----------------
Functions
----------------

^^^^^^^^^^^^^^^^^^^^^
Basic Functions
^^^^^^^^^^^^^^^^^^^^^

::

    1. constant_produce(num_of_system)
    2. system_postprocess(relation_pre, workers, group_efficiency, times_total, num_of_group)
    3. system_init(num_of_group, num_of_system)
    4. normalization(x, num_of_system)
    5. reselection_judge(workers, num_choice, i, num_of_group)
    6. epsilon_produce(times)
    7. random_unit(p)
    8. list_init(start, stop, length)
    9. result_produce(num_choice, pos_choice, workers, reselection_flag, num_of_group, relation_real, ability_of_workers)

^^^^^^^^^^^^^^^^^^^^^
Matrix Functions
^^^^^^^^^^^^^^^^^^^^^

::

    1. matrix_assign(result_of_system, relation_total, relation_n, workers, num_of_group)
    2. matrix_renewal(relation_n, relation_pre, relation_total, num_of_system)

^^^^^^^^^^^^^^^^^^^^^
Printing Functions
^^^^^^^^^^^^^^^^^^^^^

::

    1. print_basic(relation_real, num_of_system, num_of_group, relation_var, abilities_var, ability_of_workers)
    2. print_result(group_efficiency)
    3. print_result_of_all(sum_of_result, iterations)
    4. print_time(start, end)

^^^^^^^^^^^^^^^^^^^^^
Working Functions
^^^^^^^^^^^^^^^^^^^^^

::

    1. group_work(workers, relation_real, num_of_group, ability_of_workers)
    2. system_work_random(workers, num_of_group, num_of_system, relation_real, ability_of_workers)
    3. system_work_epsilon(workers, min_index, person_efficiency, epsilon, num_of_system, num_of_group, relation_real, ability_of_workers)
    4. system_work_mab(workers, min_index, person_efficiency, person_co, times, epsilon, num_of_system, num_of_group, relation_real, ability_of_workers):
taskforceagents 0.0.3
Domain Specific Agents - customized to work in teams to plan and solve real-world problems for real people
License: MIT
Requires Python: >=3.10,<3.13

# 🤖 TaskForceAgents - in ALPHA 🚧 👷

**Domain Specific Agents - customized to work in teams to plan and solve real-world problems for real people**

## Description

TaskForceAgents is a Python library for building domain specific agents. Agents are able to leverage domain-specific knowledge (in the form of APIs, databases, knowledge graphs) and take customized actions and execute domain-specific workflows.

Agents must be able to:
- **Understand** the context of a problem
- **Plan** a solution and ancipate costs and risks
- **Coordinate** with other agents to solve the problem
- **Execute** the solution
- **Learn** from the results

This library is designed for people who want to build agents that want more control over
 * Cost
 * Accuracy
 * Speed


### Built with

TaskForceAgents is built on top of [PromptedGraphs](https://github.com/closedloop-technologies/PromptedGraphs)


## ✨ Features

🚧 👷

## Core Functions

🚧 👷

## Requirements

- Python 3.10 or newer.

## 📦 Installation

To install `TaskForceAgents` via pip:

```bash
pip install taskforceagents
# or
poetry add taskforceagents
```

## Usage

### Example 1

### Example 2

## 📚 Resources

  * [Agent Protocol](https://agentprotocol.ai/)

### Related Libraries
  * [AutoGen](https://github.com/microsoft/autogen)
  * [AutoGPT](https://github.com/Significant-Gravitas/AutoGPT)
  * [Haystack](https://github.com/deepset-ai/haystack)

## 💻 Development

Poetry is used for dependency management. To install poetry, see [here](https://python-poetry.org/docs/#installation).

To install dependencies:

```bash
poetry install

pre-commit install

# For cleaner commits, install opencommit
opencommit hook set
```


## Contributing

We welcome contributions! Please DM me [@seankruzel](https://twitter.com/seankruzel) or create issues or pull requests.

## 📝 License

This project is licensed under the terms of the [MIT license](/LICENSE).

Built using [quantready](https://github.com/closedloop-technologies/quantready) using template [https://github.com/closedloop-technologies/quantready-api](https://github.com/closedloop-technologies/quantready-api)