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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.

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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.

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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”€ ...

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