Llnl-thicket

Version `2024.2.1` is a minor release.

New features
* NCU Reader Support for RAJAPerf Variants RAJA_CUDA and Lambda_CUDA (201)
* Timeseries and calc_temporal_pattern (88)
* Extend metadata_column_to_perfdata to multiple columns (216)
* Confidence Interval Stats Function (213)

Documentation updates
* Adds a page to the documentation for publications (214)

Bug fixes
* Fix bug in add_ncu (196)

Internal changes
* Run Unit Tests for Different Parameters (182)
* Expose kwargs in caliperreader (206)
* Check And Remove Duplicates in chosen_metrics (202)

Version `2024.2.0` is a major release.

New features
* Overhaul of Distance Based Scoring Functions (177)
* Adds function that moves perf metric to statsframe (198)
* Add Root Node to Graph (192)
* Add Nodes in Slice Before Printing Tree (181)
* Enable Filtering From List of Profiles (173)
* Speedup thicket composition by performing profile unions in binary tree order (170)
* Implementation of query_stats function (157)
* Add Option to Turn Off _fill_perfdata (168)
* Add Pickle Reader/Writer Interface (144)
* Print thicket tree by node order (hatchet nid) instead of alphabetically (174)
* Add support for both row and column MultiIndex in dialects (154)
* Improve NCU Reader (60)

Documentation updates
* Update README.md (211)
* Re-render notebooks for docs with no binder badge (208)
* 2024 radiuss tutorial (205, 204)
* Built-in configuration page link extension (176)
* Update thicket tutorial with updates to `display_violin_plot()` (165)

Bug fixes
* Fix Bug When Reading Directories (203)
* Fix Indexing Issue in Tree for MultiIndex (197)
* Fix intersection (193)
* Fix Deepcopy Bug (190)
* Moves re-exports of display_violinplot into the try-except-else guard (160)

Internal changes
* Reset cache before pickle dump (207)
* Remove Optional Argument from _fill_perfdata (194)
* Pin numpy version to less than 2.0.0 (191)
* Optimize Loop in Unify (185)
* Remove Print in Groupby (180)
* Check if Metric Exists in add_ncu (178)
* Add new positional argument to unit test (179)
* Change Filter Shallow Copies to Deep Copies (175)
* Improve Reader Error Messages (163)
* Check If filter_metadata Function Results in Empty Metadata Table (164)
* Reinements to display_violinplot_thicket Function (156)
* Remove 'not' from check as we want to skip if python version is below 3.8 (162)
* Codecov support (161)
* Avoid FutureWarning in ensemble.py (171)

Version `2024.1.0` is a major release.

New features
* Add GroupBy Class and Aggregation Mechanism 85
* Updated percentile.py to allow user defined percentiles, and separating calculated values into separate columns 103
* Moves stats imports from top-level `__init__.py` to stats folder 132
* Replaces `th.` for `th.stats.` in various places 138
* Add per-node scoring functions 127
* Adds violin plot functionality along with testing 141
* Print Tree on Performance Data 118
* Add Progress Bar to Reader 131

Documentation updates
* update output of jupyter notebooks in docs 117
* Add output of statsframe tutorial notebook 119
* Add output of query language notebook 120
* render notebooks for 2023.3.1 release 121, 122
* fix apidocs rendering 124
* fix URL links in README 143
* update tree and performance table figures in user guide 126
* add executed notebooks for hatchet v2024.1.0 146, 149
* execute notebooks remove legacy data references, formatting 150

Bug fixes
* fix type checks in groupby 123
* Disable Node Ordering if All Profiles Don't Have It 128
* Expand Check to All Inner Indices 130
* Synchronize Profile Components 145
* Fix filter_stats 148

Internal changes
* Update Extra-P Unit Tests to Match Latest Release 115
* Add Testing for Display Functions 87
* Improve Compatibility in concat_thickets 89
* Rework `_unify` 129
* update test data with newer rajaperf 125
* Improve Validation Checks 142
* Prevent test failure if Extra-P is not installed 136

Version 2023.3.0 is a major release.

New features
* Thicket-specific tree renderer
* StatsFrame MultiIndex Squash
* One Profile per Hash
* Fill Performance DataFrame

Documentation updates
* add new page with tutorial materials
* add CITATION.cff for HPDC submission
* change figs to match tree and dataframe
* update readme to point to docs
* Docs fixes
* add thicket documentation and tutorial through read the docs

Bug fixes
* Add Pandas Groupby Functionality to Stats Functions
* Fix tree indexing to correspond with statsframe
* Intersection Bugfix
* Fix unify_ensemble handling of None
* Bugfix reader_dispatch
* query: return new copy of thicket

Internal changes
* Refactor Ensemble Functions & Change Ensemble APIs
* add initial tests for stats
* Preference Redesign
* Separate .set_title() from initial sns.heatmap call
* Relax Verify Thicket Structure Check for Stats Functions
* StatsFrame change name to a column index, not column
* Return dictionary instead of list in groupby
* Adds automatic ownership test and fixes
* Sort performance data index after columnar_join
* Use Deterministic Hash Algorithm
* Adds usability of show_metric_columns() to statistic functions
* Fixes the dependencies in setup.py and adds a script to autogenerate new requirements.txt files from setup.py

This is the first official release of Thicket, a toolkit for exploratory data analysis of multi-dimensional performance data.