Skip to main content

Stouputils is a collection of utility modules designed to simplify and enhance the development process. It includes a range of tools for tasks such as execution of doctests, display utilities, decorators, as well as context managers, and many more.

Project description

๐Ÿ› ๏ธ Project Badges

GitHub PyPI - Downloads Documentation


๐Ÿ“š Project Overview

Stouputils is a collection of utility modules designed to simplify and enhance the development process.
It includes a range of tools for tasks such as execution of doctests, display utilities, decorators, as well as context managers.

๐Ÿš€ Project File Tree

<style> .code-tree { border-radius: 6px; padding: 16px; font-family: monospace; line-height: 1.45; overflow: auto; white-space: pre; background-color:rgb(43, 43, 43); color: #d4d4d4; } .code-tree a { color: #569cd6; text-decoration: none; } .code-tree a:hover { text-decoration: underline; } .code-tree .comment { color:rgb(231, 213, 48); } </style>
stouputils/
โ”œโ”€โ”€ applications/
โ”‚   โ”œโ”€โ”€ automatic_docs.py    # ๐Ÿ“š Documentation generation utilities (used to create this documentation)
โ”‚   โ”œโ”€โ”€ upscaler/            # ๐Ÿ”Ž Image & Video upscaler (configurable)
โ”‚   โ””โ”€โ”€ ...
โ”‚
โ”œโ”€โ”€ continuous_delivery/
โ”‚   โ”œโ”€โ”€ cd_utils.py          # ๐Ÿ”ง Common utilities for continuous delivery
โ”‚   โ”œโ”€โ”€ github.py            # ๐Ÿ“ฆ GitHub utilities (upload_to_github)
โ”‚   โ”œโ”€โ”€ pypi.py              # ๐Ÿ“ฆ PyPI utilities (pypi_full_routine)
โ”‚   โ”œโ”€โ”€ pyproject.py         # ๐Ÿ“ Pyproject.toml utilities
โ”‚   โ””โ”€โ”€ ...
โ”‚
โ”œโ”€โ”€ data_science/
โ”‚   โ”œโ”€โ”€ config/              # โš™๏ธ Configuration utilities for data science
โ”‚   โ”œโ”€โ”€ dataset/             # ๐Ÿ“Š Dataset handling (dataset, dataset_loader, grouping_strategy)
โ”‚   โ”œโ”€โ”€ data_processing/     # ๐Ÿ”„ Data processing utilities (image augmentation, preprocessing)
โ”‚   โ”‚   โ”œโ”€โ”€ image/           # ๐Ÿ–ผ๏ธ Image processing techniques
โ”‚   โ”‚   โ””โ”€โ”€ ...
โ”‚   โ”œโ”€โ”€ models/              # ๐Ÿง  ML/DL model interfaces and implementations
โ”‚   โ”‚   โ”œโ”€โ”€ keras/           # ๐Ÿค– Keras model implementations
โ”‚   โ”‚   โ”œโ”€โ”€ keras_utils/     # ๐Ÿ› ๏ธ Keras utilities (callbacks, losses, visualizations)
โ”‚   โ”‚   โ””โ”€โ”€ ...
โ”‚   โ”œโ”€โ”€ scripts/             # ๐Ÿ“œ Data science scripts (augment, preprocess, routine)
โ”‚   โ”œโ”€โ”€ metric_utils.py      # ๐Ÿ“ Metrics utilities for ML/DL models
โ”‚   โ”œโ”€โ”€ mlflow_utils.py      # ๐Ÿ“Š MLflow integration utilities
โ”‚   โ””โ”€โ”€ ...
โ”‚
โ”œโ”€โ”€ installer/
โ”‚   โ”œโ”€โ”€ common.py            # ๐Ÿ”ง Common installer utilities
โ”‚   โ”œโ”€โ”€ downloader.py        # โฌ‡๏ธ File download utilities
โ”‚   โ”œโ”€โ”€ linux.py             # ๐Ÿง Linux-specific installer utilities
โ”‚   โ”œโ”€โ”€ main.py              # ๐Ÿš€ Main installer functionality
โ”‚   โ”œโ”€โ”€ windows.py           # ๐Ÿ’ป Windows-specific installer utilities
โ”‚   โ””โ”€โ”€ ...
โ”‚
โ”œโ”€โ”€ all_doctests.py          # โœ… Execution of all doctests for a given path
โ”œโ”€โ”€ archive.py               # ๐Ÿ“ฆ Archive utilities (zip, repair_zip)
โ”œโ”€โ”€ backup.py                # ๐Ÿ“ฆ Backup utilities (delta backup, consolidate)
โ”œโ”€โ”€ collections.py           # ๐Ÿงฐ Collection utilities (unique_list, sort_dict_keys, array_to_disk)
โ”œโ”€โ”€ ctx.py                   # ๐Ÿšซ Context managers (Muffle, LogToFile)
โ”œโ”€โ”€ decorators.py            # ๐ŸŽฏ Decorators (silent, measure_time, error_handler, simple_cache, retry)
โ”œโ”€โ”€ image.py                 # ๐Ÿ–ผ๏ธ Image utilities (image_resize)
โ”œโ”€โ”€ io.py                    # ๐Ÿ’ป I/O utilities (file management, json)
โ”œโ”€โ”€ parallel.py              # ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ Parallel processing (multiprocessing, multithreading)
โ”œโ”€โ”€ print.py                 # ๐Ÿ–จ๏ธ Display utilities (info, debug, warning, error)
โ””โ”€โ”€ ...

โญ Star History

Star History Chart

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

stouputils-1.5.3.tar.gz (155.9 kB view details)

Uploaded Source

File details

Details for the file stouputils-1.5.3.tar.gz.

File metadata

  • Download URL: stouputils-1.5.3.tar.gz
  • Upload date:
  • Size: 155.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.7

File hashes

Hashes for stouputils-1.5.3.tar.gz
Algorithm Hash digest
SHA256 774ad61d093c2d92cc601aba8a975b4edf0fd2ff887cec58123866284f3fd17d
MD5 6c3fad2770094dae70a0f28354514bcd
BLAKE2b-256 79c089e50db07b1079be64c8d26621064f618b6c42fbaad7d55e8bd747a6fed3

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page