halib 0.2.57

Small library for common tasks

📦 Helper Package for Coding and Automation Changelog

v0.2.x (Experiment & Core Updates)

v0.2.57

• ✨ New Feature: Added halib.utils.tex_op for handling LaTeX operations; currently support flattening nested LaTeX structures into a single line (with all resources files like images, csv, etc. copied to a specified output directory), that can be used as standalone LaTeX code for building pdf using Tex Studio or Overleaf.

v0.2.55

• 🚀 Improvement:: enhance zprofiler allow to inject pre-calculated time for a context (ctx) or a step.

v0.2.49

• ✨ New Feature:: introduce utils/csv_op.py = a YAML-driven declarative CSV transformation pipeline supporting operations like filter, rename, convert, limit, sort, and drop with flexible output path handling.

v0.2.43

• 🚀 Improvement:: enhance log_func decorator with additional logging options and better formatting (in Rich table).

• ✨ New Feature:: introduce utils.PlotlyUtils with parallel coordinates plot and data table support

• 🚀 Improvement:: move wandb_op.py to utils and add scripts folder

• ✨ New Feature:: add common.common.log_func as decorator to log function entry, exit, with execution time and arguments.

• 🚀 Improvement:: enhance utils.dict.DictUtils with deep_exclude/include and prune function

v0.2.28

• ✨ New Feature: Implement utils.slack.SlackUtils class for managing Slack channel message deletion

• ✨ New Feature: Added utils.dict.DictUtils for advanced dictionary manipulations (merging, filtering, transforming).

• ✨ New Feature: Added common.common.pprint_stack_trace to print stack traces with optional custom messages and force stop capability.

• 🚀 Improvement: exp.perf.profiler - allow to export report dict as csv files for further analysis

v0.2.19

• ✨ New Feature: Added exp.core.param_gen to facilitate fast generation of parameter combination sweeps (grid search) using YAML configurations.

v0.2.17

• 🚀 Improvement: Updated exp.perf.profiler with an enabled flag for dynamic toggling.
• 🚀 Improvement: Added a measure context manager to simplify performance measuring of code blocks.

v0.2.13

• ♻️ Refactor: Major reorganization of packages. Renamed research package to exp (Experiment Management).
• 🚀 Improvement: Updated exp/perfcalc.py to allow saving computed performance metrics to CSV without explicitly calling calc_perfs.

v0.2.1

• ✨ New Feature: Added eval_exp method to exp/base_exp for running evaluations (e.g., model testing) after experiments conclude.

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v0.1.9x (Visualization & Generators)

v0.1.99

• ✨ New Feature: Added gen_ipynb_name to filetype/ipynb. Generates filenames based on the current notebook name with optional timestamps.

v0.1.96

• ✨ New Feature: Added PlotHelper class in research/plot for plotting training history and image grids (dataset samples or model outputs).

v0.1.91

• ✨ New Feature: Added ParamGen class to research/param_gen for parsing YAML files into parameter lists for hyperparameter searches.

v0.1.90

• ✨ New Feature: Added zProfiler class to research/profiler for measuring context/step execution time, supporting dynamic color scales in plots.

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v0.1.5x - v0.1.7x (Infrastructure & Utilities)

v0.1.77

• ✨ New Feature: Added BaseExp class in research/base_exp to handle common experiment tasks (performance calculation, result saving).

v0.1.67

• 🔧 Maintenance: Switched to uv for virtual environment management.
• 🚀 Improvement: Updated research/perfcalc to support both torchmetrics and custom metrics.

v0.1.61

• ✨ New Feature: Added VideoUtils (util/video) for common video handling tasks.
• ✨ New Feature: Added GPUMonitor (util/gpu_mon) for tracking GPU usage and performance.

v0.1.59

• 🔨 Architecture: Added util/perfcalc abstract base class. This requires implementation of specific performance calculation logic.

v0.1.55

• ✨ New Feature: Added util/dataclass_util for dynamic creation of dataclass objects from dictionaries or YAML (supports nested structures).

v0.1.52

• ✨ New Feature: Added research/perftb module for managing experiment performance tables (filtering by dataset, metric, etc.).

v0.1.50

• ✨ New Feature: Added pprint_local_path to print clickable file URIs for local paths.
• ✨ New Feature: Added research package containing benchquery for dataframe benchmarking.
• ✨ New Feature: Added wandb module for offline syncing and batch clearing of Weights & Biases runs.

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v0.1.4x (Display & formatting)

v0.1.47

• ✨ New Feature: Added pprint_box to print objects or strings inside a decorative box frame.

v0.1.46

• 🐛 Fix: Filtered UserWarning: Unable to import Axes3D.
• 🚀 Improvement: Added auto_wrap_text to fn_display_df to prevent long text overflow in tables.

v0.1.42

• ✨ New Feature: Added rich_color.py wrapper for basic color lists.

v0.1.41

• ✨ New Feature: Added rich_color.py to support rich color information (palettes, strings) using the rich library.

v0.1.40

• 🚀 Improvement: Updated csvfile.py to use itables and pygwalker for interactive dataframe display in Jupyter notebooks.

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v0.1.3x (Data & Loading)

v0.1.38

• ✨ New Feature: Added torchloader.py to search for optimal DataLoader configurations (num_workers, batch_size, pin_memory).

v0.1.37

• ✨ New Feature: Added dataset.py for splitting classification datasets into train/val/test sets.

v0.1.33

• ✨ New Feature: Added plot.py for plotting Deep Learning training history (accuracy/loss) using seaborn and matplotlib.

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v0.1.0 - v0.1.2x (Early Utilities)

v0.1.29

• 🐛 Fix: Pinned kaleido==0.1.* for tele_noti as version 0.2.* caused image generation hangs.

v0.1.24

• ♻️ Refactor: Renamed sys module to system to avoid conflicts with Python's built-in sys.
• ✨ New Feature: Added tele_noti module for Telegram notifications regarding training progress.

v0.1.22

• ✨ New Feature: Added cuda.py to check CUDA availability for both PyTorch and TensorFlow.

v0.1.21

• ✨ New Feature: Added YAML inheritance and overriding support using networkx and omegaconf.

v0.1.15

• ✨ New Feature: Added common logging library and @console_log decorator for function tracing.

v0.1.10

• 🐛 Fix: Fixed typo is_exit -> is_exist in filesys.
• 🚀 Improvement: Updated gdrive to support uploading to specific folders and returning direct shareable links.

v0.1.9

• 🔧 Maintenance: Added requirements.txt.

v0.1.6 - v0.1.8

• 🚀 Performance: Optimized table insertion by using an in-memory row_pool_dict before committing to the DataFrame.
• ✨ New Feature: Added DFCreator for manipulating DataFrames (create, insert, display, save).

v0.1.4 - v0.1.5

• ✨ New Feature: Added cmd module.
• ✨ New Feature: Support for creating Bitbucket Projects from templates.

v0.1.2

• ✨ New Feature: Added support for uploading local files to Google Drive.