semvec/pypi-packages huggingface dataset:
trans-analysis-super-kolya 0.1.1
Пакет для анализа финансовых транзакций


```markdown
# Финансовый Анализатор

Финансовый Анализатор — это Python-пакет, который автоматизирует процесс анализа доходов и расходов компании. Он загружает данные о транзакциях из CSV-файла, группирует их по категориям и генерирует отчёт с суммами для каждой категории.

## Установка

Для установки пакета используйте pip:

```bash
pip install trans_analysis_super_kolya
```

## Использование

После установки пакета вы можете использовать его через командную строку. Вот основные команды и параметры:

```bash
финансовый_анализатор --input-file путь_к_входному_файлу.csv --output-file путь_к_выходному_файлу.txt
```

### Параметры

- `--input-file`: Укажите путь к входному CSV-файлу с данными о транзакциях.
- `--output-file`: Укажите путь к выходному текстовому файлу, в который будет записан отчёт.

### Пример

Предположим, у вас есть файл `transactions.csv` со следующими данными:

```csv
Категория,Сумма
Доход,8000
Расход,3000
```

Запустите команду:

```bash
trans_analysis --input-file transactions.csv --output-file report.txt
```

После выполнения команды в файле `report.txt` будет содержаться следующий отчёт:

```
Доход: 8000 руб.
Расход: 3000 руб.
```

## Зависимости

Этот пакет требует установку библиотеки `pandas`. Убедитесь, что она установлена:

```bash
pip install pandas
```


## Лицензия

Этот проект лицензирован под MIT License - смотрите файл [LICENSE](LICENSE) для подробностей.
```
mausify 0.0.2
Wraps cli commands for use in python
Requires Python: <3.13,>=3.8.1

# Command Line System Function Runner

This package provides a command-line interface for running system commands with parsed options and arguments. It dynamically generates a function interface for any system command, allowing for easy execution and option handling.

## Features

- Dynamic parsing of command options from `--help` output
- Support for short and long option formats
- Piping input from standard input or command line argument
- Ability to list available options for a command

## Installation

To install the package, clone the repository and install the dependencies:

```
git clone <repository-url>
cd <repository-directory>
pip install -r requirements.txt
```

## Usage

Run the script with the following syntax:

```
python script_name.py <command> [ARGS]... [OPTIONS]
```

### Arguments

- `command`: The system command to run
- `ARGS`: Additional arguments for the command (optional)

### Options

- `-o, --option TEXT`: Specify command options (can be used multiple times)
- `-p, --pipe TEXT`: Provide input to pipe to the command
- `-P, --print-args`: Print available options for the command
- `--help`: Show help message and exit

## Examples

1. List available options for a command:
   ```
   python script_name.py ls --print-args
   ```

2. Run a command with options:
   ```
   python script_name.py ls -o l -o a /home
   ```

3. Pipe input to a command:
   ```
   python script_name.py grep -o i -p "search text" search_pattern
   ```

4. Use standard input:
   ```
   echo "Hello, World!" | python script_name.py grep World
   ```

## Note

This tool is designed for educational and development purposes. Use caution when running system commands, especially with elevated privileges.
sporosdk 0.1.0
A Python SDK for interacting with the Sporo API to generate summaries.
Requires Python: >=3.8

# SporoSDK

SporoSDK is a Python SDK for interacting with the Sporo API to generate summaries from transcripts.

## Installation

You can install SporOSDK via pip:

```bash
pip install sporosdk
```
## Usage
```bash
from sporosdk import SporoClient

# Initialize the client with your API key
client = SporoClient(api_key='YOUR_API_KEY')

# Generate summary
transcript = "Your transcript text here."
summary = client.generate_summary(transcript)

print(summary)
```
## Configuration
Alternatively, you can set the SPORO_API_KEY environment variable:
```bash
export SPORO_API_KEY='YOUR_API_KEY'
```
And initialize the client without passing the API key:
```bash
from sporosdk import SporoClient

client = SporoClient()
summary = client.generate_summary("Your transcript text here.")
```
VGenEval 0.1.0
A package for loading prompts for video generation evaluation
Requires Python: >=3.6

# VGenEval

load prompts from VideoGen-Eval

## install

pip install VGenEval

## usage

```python
from VGenEval import load_prompt
prompts = load_prompt.get_prompts(ids, model_name)
```

## reference
https://github.com/AILab-CVC/VideoGen-Eval
```
pyimportcheck 0.1.6
Python import checker
Requires Python: >=3.9

# PyImportCheck

<p align="center">
  <img src="https://github.com/user-attachments/assets/b245ace4-40a1-4372-99f2-77fdea12d6f6">
</p>

Pyimportcheck is
[a static code analyser](https://en.wikipedia.org/wiki/Static_program_analysis)
for Python 3.

This project aims to provide quick detection of:
-  circular imports flow
-  missing exported symbols (special `__all__` symbol)
-  bad package declaration (missing of `__init__.py` files)

Pyimportcheck analyses your code without actually running it. It checks for
errors, enforces a coding standard, and can make suggestions about how the code
could be refactored (see the screenshot above).

> [!WARNING]
> This project was originaly designed for my personal use to quickly detect arbitrary
> "errors" (e.g exported symbols) in some "big" projects since the report from the
> python interpreter is not easy to interpret for some edge cases (like circular import)
>
> Note that you probably want to use [CodeQL](https://github.com/github/codeql) with
> [default python query](https://github.com/github/codeql/blob/main/python/ql/src/Imports/CyclicImport.ql)
> that can perform the same job as my tool.
>
> If you want to know what I plan to do with this project, you can check the
> [Roadmap issue](https://github.com/YannMagnin/PyImportCheck/issues/1) that evolves
> with time

## Install

Install and update using [pip](https://pip.pypa.io/en/stable/getting-started/)
or [poetry](https://python-poetry.org/docs/):
```bash
pip install pyimportcheck
poetry add pyimportcheck
```

> [!NOTE]
> Stable branches are named as `<version>` (e.g `0.1`) (the `master` has been reserved
> for the next release), so, if you plan to build manually the project, do not forget to switch
> to the appropriate branch before !

## How to use

You can use the `--help` flag to display information about what you can do with this tool.
Most of the time, you simply need to indicate the path name to the package or file you
want to check.
```bash
pyimportcheck /path/to/local/package
```

You can export any detected notification into a (rudumentary) JSON format with `--json`
followed by the output path. You can also use `--json-only` to only perform the export
without displaying anything:
```bash
pyimportcheck /path/to/local/file.py --json-only /path/to/json_output_file.json
```

## Notes

> [!TIP]
> I recommend you resolve each circular dependency in the order that they
> are displayed. This is because I do not detect if a circular import has
> already been detected (It will be the case in the future).
>
> So, resolving one circular import can clear, at least, two errors (or more
> if you have a long loop)

> [!CAUTION]
> This project only supports "absolute" imports `from <package> ... import ...` and
> `import <package> ...`. Canonical imports (like `from .<module> ... import ...`)
> and special workarounds, like with `typing.TYPE_CHEKING`, are not supported
> (ignored for now).