semvec/pypi-packages huggingface dataset:
spark-logs 0.0.2
Download and optimize spark clusters automatically
License: MIT
Requires Python: >=3.12

# Spark Logs

A tool for downloading and managing logs from Dataproc Spark clusters.

## Installation

```bash
pip install .
```

## Usage

The tool is fully interactive by default and will prompt for any missing information:

```bash
# Fully interactive - will prompt for project (with selection list), cluster, and application
spark-logs

# Partially interactive - only prompts for cluster and application
spark-logs --project my-gcp-project

# Partially interactive - only prompts for application
spark-logs --project my-gcp-project --cluster my-cluster

# No prompts - directly downloads logs when all parameters are specified
spark-logs --project my-gcp-project --cluster my-cluster --app-id application_1234567890_0001
```

You can also use the tool for listing resources:

```bash
# List all available Google Cloud projects
spark-logs --list-projects

# List all clusters in a project
spark-logs --project my-gcp-project --list-clusters

# List all Spark applications for a specific cluster
spark-logs --project my-gcp-project --cluster my-cluster --list-apps
```

## Optional Arguments

- `--region`: Specify the GCP region (default: us-central1)
- `--output-dir`: Directory to save logs (default: ./logs)
- `--service-account-json`: Path to service account JSON key file

## Authentication

The tool uses Google Cloud authentication. If no service account is specified, it will use the default authentication methods (gcloud auth, environment variables, etc.).

To use a service account:

```bash
spark-logs --service-account-json path/to/service-account.json
```
crafting 0.201.5
Tool to run your DL/RL experiments with Docker
License: MIT
Requires Python: >=3.6

# Crafting Tool for Your ML/RL Experiments with Docker

## Installation
Simply install it from PyPI using the following command:
```shell
pip install crafting
```

If you encounter any issues after the installation, such as receiving a `command not found` error, try adding the following line to your `.bashrc` or `.bash_profile` file:
```shell
export PATH="$HOME/.local/bin:$PATH"
```

This will ensure that the `crafting` command is accessible from anywhere in your terminal.
MATLAB2PYTHONLIB 0.2.5
Esta librería contiene funciones que permiten la conversión de fechas de formato MATLAB (datenum) al formato datetime de python. También contiene funciones para crear array de tiempo o convertir fácilmente fechas de formato datetime a datestr
License: MIT

# Descripción de la librería

# MATLAB2PYTHONLIB

En esta librería encontrarás funciones para facilitar la lectura de archivos netcdf generados con matlab en python, particularmente en el cambio de formato del formato datenum (Matlab) a datetime (Python).

Para su correcto funcionamiento, se necesitan la librería "numpy"
También se necesita importar la dependencia "datetime"

## Instalación

```bash
pip install numpy
pip install MATLAB2PYTHONLIB