semvec/pypi-packages huggingface dataset:
monistode-binutils 0.1.10
A meta-repository for the Monistode binutils.
Requires Python: >=3.11,<4.0

# Monistode Binutils: A Simple Assembly Language Binutils

Monistode Binutils is a toolset created for the purpose of learning and building a basic assembly language assembler, linker and disassembler. This meta-repo serves as the central hub for Monistode Binutils, allowing you to easily access and use the tool.

## Getting Started

You can get started with Monistode Binutils by following these steps:

### Installation

You can install Monistode Binutils using `pipx`, which ensures that it runs in an isolated environment:

```sh
pipx install monistode-binutils
```

### Assembling Code

Once you've installed Monistode Binutils, you can assemble your code using the `mstas` command:

```sh
mstas config.yaml your-assembly-file.s output-file.o
```

Make sure to replace `config.yaml`, `your-assembly-file.s`, and `output-file.o` with the appropriate file names and paths.

### Disassembling Code

You can also disassemble code with the `mstdas` command:

```sh
mstdas config.yaml input-file.o
```

Again, replace `config.yaml` and `input-file.o` with the actual configuration and input file you want to disassemble.

## Example Assembly Language

Here's an example of a simple assembly language that Monistode Binutils supports:

```yaml
opcode_length: 6
opcode_offset: 0
text_byte_length: 6
data_byte_length: 8
text_address_size: 16
data_address_size: 16
commands:
  - mnemonic: yelp
    opcode: !!int 0b1
    arguments:
      - type: padding
        bits: 2
      - type: immediate
        bits: 16
  - mnemonic: jmp
    opcode: !!int 0b10
    arguments:
      - type: padding
        bits: 2
      - type: text_addr
        bits: 16
```

## Example Usage

You can create and assemble an assembly file:

```as
.text

_start:
YELP $512
YELP $2
YELP $43
YELP $17

JMP main + 138

main:
YELP $24
```

After assembly, you can disassemble it to see the machine code:

```
Object file:
Parameters:
  Opcode size: 6
  Text byte: 6
  Data byte: 8
  Text address: 16
  Data address: 16
Sections:
  Name: text
  Size: 24 entries (18 bytes of disk)

  Name: symbol_table
  Size: 2 entries (36 bytes of disk)

  Name: relocation_table
  Size: 1 entries (33 bytes of disk)


.text
    _start:
0000: yelp  $512      # 000001 000000 001000 000000
0004: yelp  $2        # 000001 000000 000000 000010
0008: yelp  $43       # 000001 000000 000000 101011
000c: yelp  $17       # 000001 000000 000000 010001
0010: jmp  main + 138 # 000010 000000 000010 000111
    main:
0014: yelp  $24       # 000001 000000 000000 011000

.symbol_table
      text:00000000        _start
      text:00000014        main

.relocation_table
      text:00000011 + 2bits (16-bit)        text -> main, relative
```
VaniLite 0.0.2
Multi-Language Support Library for Python Projects
Keywords: multi-language,localization,i18n,python,VaniLite,VaniLite-lite

# VaniLite - Multi-Language Support for Your Project

## Overview

VaniLite is a lightweight Python library designed to simplify the implementation of multi-language support in your projects. It provides a straightforward way to manage and retrieve localized strings, making your application accessible to users in different languages.

## Features

- **Easy Integration**: Simply import the VaniLite class into your project, and you're ready to start using multi-language support.

- **JSON and YAML Support**: VaniLite supports both JSON and YAML formats for language files, giving you flexibility in how you structure your translations.

- **Dynamic String Retrieval**: Retrieve localized strings with ease, including support for dynamic formatting with arguments.

## Getting Started

1. **Installation**:

    ```bash
    pip install VaniLite
    ```

2. **Usage**:

    ```python
    from VaniLite import VaniLite

    # Initialize VaniLite with optional parameters
    VaniLite = VaniLite(language="en_US")

    # Retrieve a localized string
    greeting = VaniLite.retrieve_string("hello", default_string="Hello, World!")

    # Use dynamic formatting
    formatted_greeting = VaniLite.retrieve_string("greet_with_name", default_string="Hello, {}!", "John")
    ```

3. **Language Files**:

    Place your language files in the `/strings/` directory. VaniLite supports both JSON and YAML files. For example, for English (en_US), you can have `en_US.json` or `en_US.yaml` with the translation key-value pairs.

4. **Changing Language Dynamically**:

    ```python
    # Change the language dynamically
    VaniLite.reload_language("fr_FR")
    ```


## License

This project is licensed under the GNU v3.0 License - see the [LICENSE](./LICENSE) file for details.

---

Happy coding with multi-language support using VaniLite!
Photosimulator 0.0.1
A photokinetic analysis package developed for the DeForest Group
Requires Python: >=3.8

# Photosimulator

## photokineticanalysis.py

```

PhotokineticAnalysis()
  
```

#### Functions:

```

PhotokineticAnalysis.check()
  
```
  
  Checks that the inputs for the calculate_theoretical function are correct
  
  
 
```

PhotokineticAnalysis.calculate_theoretical()
  
```
  
  This section allows for calculating theoretical photouncaging values using the following first order kinetic equation for photouncaging: 
  
  $Y = {Y_o} + (plateau-{Y_o})(1-exp(-K*x))$
  
  ${Y_o} = 0$
  
  Plateau = 1
  
  **Input:** 
  
  *   Array of x values (Dosage)
  *   Photokinetic constant, k 
  
  **Output:** 
  
  *   Table of x and corresponding y values (normalized to 1)
  *   Graph of theoretical data


```

PhotokineticAnalysis.calculate_experimental()
  
```

  This section allows for calculating the photouncaging constant k using the first order kinetic equation:
  
  $Y = {Y_o} + (plateau-{Y_o})(1-exp(-K*x))$
  
  ${Y_o} = 0$
  
  Plateau = 1
  
  **Input:** 
  
  
  *   Excel file formatted such that the first column is labelled with the time unitstime and has all the time values and the corresponding y values labelled.  
  
  **Output:** 
  
  *   Kinetic rate constand with standard deviation
  *   Table of x and corresponding y values (normalized to 1)
  *   Graph of theoretical data

# photokineticanalysis.py


 
```

ChemotaxisSimulation()
  
```

### Functions:

```

ChemotaxisSimulation.cell_movement()
  
```

  This section allows for modeling cell migration in 2D. It is based off of a stochastic compartment model developed by Fadai et al. 2019. 
  
  **Input:** 
  
  * n:matrix size 
  * m:matrix size
  * CC:location of initial cells
  * V:compartment size 
  * rm: motility rate between 0-1, where 1 equates to faster cells
  * rp: proliferation rate between 0-1, where 1 equates to max proliferation
  * rd: death rate between 0-1, where 1 equates to max death rate
  * tf: final dimensionless time
  * C_start: if there is a chemotactic variable applied, when is it applied.
  * C_end: if there is a chemotactic variable applied, when does it end.
  * rhox: how the chemotactic variable is applied over space (i.e gradient,etc)
  
  **Output:** 
  
  * n * m matrix with final cell positions

 
```

ChemotaxisSimulation.simulate()
  
```

  This function plots cell position over time and saves a movie file. 
  
  **Input:** 
  
  * Title of movie file to be saved
  
**Output:** 

* Movie file_name.gif
claraterm 0.3.6
let AI do the heavy lifting in terminal, CoPilot for your Terminal
Requires Python: >=3.6

<h1 align="center">ClaraTerm 🚀</h1>

<p align="center">
    <a href="https://github.com/badboysm890/clara-term">
        <img alt="GitHub stars" src="https://img.shields.io/github/stars/badboysm890/clara-term?style=social"/></a>
    <a href="https://github.com/badboysm890/clara-term/issues">
        <img alt="GitHub issues" src="https://img.shields.io/github/issues/badboysm890/clara-term"/></a>
    <a href="LICENSE">
        <img alt="License" src="https://img.shields.io/github/license/badboysm890/clara-term"/></a>
    <br>
    <b>ClaraTerm: Leading the AI-Driven Evolution in Terminal Technology</b><br>
    Transforming terminal automation with advanced AI, paving the way for an AI-operated OS.<br>
    <br>
</p>

## Introduction

ClaraTerm is an advanced terminal automation tool, integrating cutting-edge AI technology, specifically GPT, setting the stage for the future of AI-powered Operating Systems. It's a tool crafted for developers who are keen on leveraging AI for elevated efficiency in scripting and system operations.

### Key Features

- **GPT-Enhanced Script Automation**: Utilizing GPT for superior scripting efficiency and intelligence.
- **Multilingual Support**: Offering Python compatibility, with extensions for Go and JavaScript underway.
- **Automated Script Correction**: Features robust error handling and automated correction mechanisms.
- **Optimized Dependency Management**: Streamlining the management of project dependencies with AI assistance.
- **Foundation for AI-Based OS**: Establishing a technical base for evolving into a comprehensive AI Operating System.
- **Future AI Integration Plans**: Preparing for compatibility with GUVI-GPT and Llama2 for extended AI capabilities.

## Installation

Initiate your journey with ClaraTerm, the stepping stone towards an AI-empowered Operating System:

```bash
python -m venv env
source env/bin/activate
pip install --editable .
```

## Usage

Deploy ClaraTerm for advanced terminal operations and be part of the transition towards AI-operated system environments:

```bash
clara -i "[Your Query]"
```

## Contributing

We invite you to contribute to ClaraTerm, playing a critical role in shaping the next generation of AI-driven operating systems.

## Support

Support our mission by starring ClaraTerm on GitHub, joining us in the pursuit of an AI-enhanced computing future!

## License

This project is licensed under the MIT License.

## Acknowledgments

- G4F (https://github.com/xtekky/gpt4free) for their role in offline AI support.
- GUVI Geek Network Pvt. Ltd. (https://www.guvi.in/) for their vital collaboration.
vani 0.0.1
Multi-Language Support Library for Python Projects
Keywords: multi-language,localization,i18n,python,vani,vani-lite

# Vani - Multi-Language Support for Your Project

## Overview

Vani is a lightweight Python library designed to simplify the implementation of multi-language support in your projects. It provides a straightforward way to manage and retrieve localized strings, making your application accessible to users in different languages.

## Features

- **Easy Integration**: Simply import the VaniLite class into your project, and you're ready to start using multi-language support.

- **JSON and YAML Support**: Vani supports both JSON and YAML formats for language files, giving you flexibility in how you structure your translations.

- **Dynamic String Retrieval**: Retrieve localized strings with ease, including support for dynamic formatting with arguments.

## Getting Started

1. **Installation**:

    ```bash
    pip install vani
    ```

2. **Usage**:

    ```python
    from vani import VaniLite

    # Initialize VaniLite with optional parameters
    vani = VaniLite(language="en_US")

    # Retrieve a localized string
    greeting = vani.retrieve_string("hello", default_string="Hello, World!")

    # Use dynamic formatting
    formatted_greeting = vani.retrieve_string("greet_with_name", default_string="Hello, {}!", "John")
    ```

3. **Language Files**:

    Place your language files in the `/strings/` directory. Vani supports both JSON and YAML files. For example, for English (en_US), you can have `en_US.json` or `en_US.yaml` with the translation key-value pairs.

4. **Changing Language Dynamically**:

    ```python
    # Change the language dynamically
    vani.reload_language("fr_FR")
    ```


## License

This project is licensed under the GNU v3.0 License - see the [LICENSE](./LICENSE) file for details.

---

Happy coding with multi-language support using Vani!