v1.0.0

November 2024

aeon v1.0.0 is our first major release. It contains a large number of new features and removes a significant body of legacy code. We want to thank every contributor who has helped make this release possible.

This major release includes breaking changes that could not happen in a regular minor release. This includes the removal of the old forecasting wrapper-based code, the datatypes module and the previous transformer module. Our focus now is on writing more efficient code based on efficient array based bespoke implementations.

Highlights

• Introduction of a new experimental forecasting module, replacing the old module (this is currently sparse, but we will expand on the framework and available estimators in the future.

• Restructuring and expansion of the clustering module, including deep learning clustering.

• Explicit split of the transformation module into series transformers and collection transformers.

• Extended anomaly detection module.

• Completely new testing suite.

• Enhanced visualisation tools.

• Improved documentation and examples.

• Introduction of more multivariate capable deep learning estimators.

Anomaly Detection

Bug Fixes

• [BUG] Fix anomaly detector’s compliance with estimator API (related to testing revamp) (#2102) @SebastianSchmidl

• [BUG] fix training data check for TSAD dataset loader (#2100) @SebastianSchmidl

• [BUG] Fix TSAD dataset tests (#2232) @SebastianSchmidl

• [BUG] add multithreading capability tag to LOF to fix main (#2389) @SebastianSchmidl

Deprecation

• [ENH] Remove make_series from anomaly detection (#2282) @TonyBagnall

Enhancements

• [ENH] Issue 1641 - Matrix profile-based anomaly detectors: left STAMPi (#2091) @ferewi

• [ENH] Implemented IsolatedForest in anomaly detection with some test cases (#2118) @notaryanramani

• [ENH] more fixes for float_ (#2215) @TonyBagnall

• [ENH] Implemented COPOD for anomaly detection (#2202) @notaryanramani

• [ENH] Implemented CBLOF for Anomaly Detection (#2243) @notaryanramani

• [ENH] Remove make_series from anomaly detection (#2282) @TonyBagnall

• [ENH] Added OneClassSVM to the anomaly detection module (#2342) @pattplatt

• [ENH] Implementation of LOF using PyODAdapter (#2209) @aryanpola

Maintenance

• [ENH] more fixes for float_ (#2215) @TonyBagnall

Benchmarking

Deprecation

• [DEP] Remove old benchmarking classes (#2082) @MatthewMiddlehurst

Documentation

• [REF] Refactor performance_metrics into benchmarking.metrics and use a local version of sphinx-remove-toctrees (#2353) @MatthewMiddlehurst

Enhancements

• [ENH] Remove outdated benchmarking functions and add collection resamplers (#2222) @MatthewMiddlehurst

• [ENH] Tidy up benchmarking results loaders (#2233) @MatthewMiddlehurst

Refactored

• [REF] Refactor performance_metrics into benchmarking.metrics and use a local version of sphinx-remove-toctrees (#2353) @MatthewMiddlehurst

Other

• [ENH] fix the zero_method of the wilcoxon sign rank test to “wilcox” in mcm (#2361) @TonyBagnall

Classification

Bug Fixes

• [ENH] Remove soft dependency on pyfftw (#2213) @TonyBagnall

• [BUG] Fixed subsampling in highly imbalances datasets giving subsamples with only a single class (#2305) @ferewi

Deprecation

• [MNT] Remove TapNet (#2330) @hadifawaz1999

Documentation

• [DOC] update Rocket notebook (#2220) @TonyBagnall

• [DOC] TSC notebook (#2287) @TonyBagnall

Enhancements

• [ENH] MrSEQLClassifier wrapper (#1756) @MatthewMiddlehurst

• [MNT]Use Numpy Vectorization in ContinuosIntervalTree fit method #1345 (#2141) @LinGinQiu

• [ENH] Add testing for TDE (#2144) @TonyBagnall

• [ENH] Add MUSE tests (#2147) @TonyBagnall

• [ENH] Add BOSS tests (#2148) @TonyBagnall

• [ENH] Tests for ordinal tde (#2166) @TonyBagnall

• [ENH] Split up rocket estimators (#2207) @MatthewMiddlehurst

• [ENH] Remove soft dependency on pyfftw (#2213) @TonyBagnall

• [ENH] OrdinalTDE coverage (#2227) @TonyBagnall

• [ENH] Rework _HeterogenousMetaEstimator and composable estimators (#2242) @MatthewMiddlehurst

• [ENH] Added useful class attributes to SAST based transforms (#2006) @IRKnyazev

• [ENH] RotationForest coverage (#2187) @TonyBagnall

• [ENH] Adding LITEMV ability to LITE (#2255) @hadifawaz1999

• [ENH] Add DisjointCNN classifier and Regressor (#2316) @hadifawaz1999

• [ENH] Tests for feature based classifiers (#2350) @TonyBagnall

• [ENH] Refactor num_kernels (#2373) @TonyBagnall

Maintenance

• [MNT] Remove TapNet (#2330) @hadifawaz1999

• [MNT] Tidy up classification and regression tests (#2314) @MatthewMiddlehurst

Clustering

Bug Fixes

• [BUG[ Use clone estimator in BaseDeepClusterer to fix check_fit_updates_state fail (#2309) @hadifawaz1999

Documentation

• [DOC] remove use of init_algorithm parameter in Clustering notebook (#2050) @TonyBagnall

Enhancements

• [ENH] TimeSeriesKMeans init_algorithm (#2040) @Sharathchenna

• [ENH] Added tags for clustering (#2041) @aryanpola

• [ENH] Elastic-SOM clusterer (#2149) @chrisholder

• [ENH] Added n_clusters attribute to TSFreshClusterer (#2217) @aryanpola

• [ENH] Add Multi Reconstruction loss to AEFCNClusterer (#1923) @aadya940

• [ENH] Remove y from predict in BaseClusterer (#2292) @TonyBagnall

• [ENH] Add AEBiGRUClusterer (#1709) @aadya940

• [ENH] Implement Multi - Reconstruction loss in AEResNetClusterer (#1940) @aadya940

• [ENH] Add AEAttentionBiGRUClusterer (#1725) @aadya940

• [ENH] Add AEDRNNClusterer (#1784) @aadya940

• [ENH] Add AEDCNNClusterer (#1911) @aadya940

• [ENH] Make deep clustering consisting with other deep learning submodules in terms of saving/loading (#2359) @hadifawaz1999

• [ENH] Sort out clustering base class (#2251) @TonyBagnall

Maintenance

• [MNT] Make Multi Rec test in deep clustering faster (#2315) @hadifawaz1999

• [MNT] Clustering module 1.0 deprecations (#2306) @chrisholder

• [MNT] Deprecation in deep clustering module (#2380) @hadifawaz1999

• [MNT] cluster init_algorithm removed across all clusterers (#2392) @chrisholder

Other

• [ENH] Implemented MockCluster in testing module (#2029) @notaryanramani

• [ENH] KSpectralCentroid clusterer (#2140) @chrisholder

Datasets

Bug Fixes

• [BUG] fix training data check for TSAD dataset loader (#2100) @SebastianSchmidl

• [BUG] Fix TSAD dataset tests (#2232) @SebastianSchmidl

• [BUG] Deal with a few warnings (#2285) @TonyBagnall

Documentation

• [ENH] change links from htpp to https (#2098) @TonyBagnall

• [DOC] data notebooks (#2104) @TonyBagnall

• [DOC] Revise data notebook (#2128) @TonyBagnall

Enhancements

• [ENH] Dataset loader coverage (#2055) @TonyBagnall

• [ENH] change links from htpp to https (#2098) @TonyBagnall

• [ENH] Coverage for data writers (#2127) @TonyBagnall

• [ENH] Remove the return_X_y load option, improve coverage (#2183) @TonyBagnall

• [ENH] Final purge of nested univ (#2185) @TonyBagnall

• [ENH] Tidy up loaders and writers (#2325) @TonyBagnall

Maintenance

• [MNT] Update TSC Datasets (#1982) @Cyril-Meyer

Distances

Bug Fixes

• [BUG] Fix failing periodic tests (#2159) @chrisholder

• [ENH, BUG] Fixes issue with lower bounding in SAX for TS length not divisible by the number of segments (#2214) @patrickzib

Enhancements

• [ENH] Add a warping path series transformer (#2001) @hadifawaz1999

• [ENH] Add shift-scale distance (k-SC clusterers distance) (#2139) @chrisholder

• [ENH] Soft-DTW (#2160) @chrisholder

• [ENH, BUG] Fixes issue with lower bounding in SAX for TS length not divisible by the number of segments (#2214) @patrickzib

Maintenance

• [MNT] Distance module cleanup (#2170) @chrisholder

• [MNT] Distance module refactor part 2 (#2178) @chrisholder

Refactored

• [MNT] Change the “metric” parameter to “measure in the distance module (#2403) @chrisholder

• [MNT] Distance module changed to method rather than metric (#2407) @chrisholder

Forecasting

Deprecation

• [ENH] Remove Forecasting Module (#2037) @TonyBagnall

Enhancements

• [ENH] Remove Forecasting Module (#2037) @TonyBagnall

• [ENH] Remove forecasting metrics (#2247) @TonyBagnall

• [ENH] First PR for forecasting module (#2362) @TonyBagnall

Documentation

• [ENH] remove forecasting from readme (#2286) @TonyBagnall

Networks

Deprecation

• [MNT] Remove TapNet (#2330) @hadifawaz1999

Enhancements

• [ENH] Add AEDCNNNetwork (#1702) @aadya940

• [ENH] Add Weight Normalization Keras Wrapper (#2117) @aadya940

• [ENH] Add DCNNNetwork (#1576) @aadya940

• [ENH] Adding LITEMV ability to LITE (#2255) @hadifawaz1999

• [ENH] Add AEBiGRUClusterer (#1709) @aadya940

• [ENH] Implement Multi - Reconstruction loss in AEResNetClusterer (#1940) @aadya940

• [ENH] Add AEAttentionBiGRUClusterer (#1725) @aadya940

• [ENH] Add AEDRNNClusterer (#1784) @aadya940

• [ENH] Add DisjointCNN classifier and Regressor (#2316) @hadifawaz1999

• [ENH] Add AEDCNNClusterer (#1911) @aadya940

Maintenance

• [MNT] Replaced assert with raise ValueError messages in networks module (#2009) @notaryanramani

• [MNT] Remove TapNet (#2330) @hadifawaz1999

• [MNT] Remove python 3.12 constraint for deep learners (#2256) @hadifawaz1999

Regression

Deprecation

• [MNT] Remove TapNet (#2330) @hadifawaz1999

Documentation

• [DOC] Fix broken links (#2296) @TonyBagnall

Enhancements

• [ENH] Make dummy regressor file private (#2069) @TonyBagnall

• [DEP] Regression coverage tests and remove deprecated CNN (#2175) @TonyBagnall

• [ENH] remove tag from MR-Hydra regressor (#2154) @TonyBagnall

• [ENH] Split up rocket estimators (#2207) @MatthewMiddlehurst

• [ENH] Rework _HeterogenousMetaEstimator and composable estimators (#2242) @MatthewMiddlehurst

• [ENH] Adding LITEMV ability to LITE (#2255) @hadifawaz1999

• [ENH] remove redundo test (#2313) @TonyBagnall

• [ENH] Add DisjointCNN classifier and Regressor (#2316) @hadifawaz1999

• [ENH] Refactor num_kernels (#2373) @TonyBagnall

Maintenance

• [MNT] Remove TapNet (#2330) @hadifawaz1999

• [MNT] Tidy up classification and regression tests (#2314) @MatthewMiddlehurst

Other

• [ENH] Speed up the regression distances tests (#2052) @TonyBagnall

Similarity Search

Documentation

• [DOC] Similarity docstring (#2056) @aryanpola

Maintenance

• [MNT] Disable and comment out similarity search and RDST test failures (#2080) @MatthewMiddlehurst

• [MNT] Purging similarity search from distance as argument numba functions (#2176) @baraline

Transformations

Bug Fixes

• [BUG] set dynamic tag after call to parent constructor (#2172) @TonyBagnall

• [ENH] Remove soft dependency on pyfftw (#2213) @TonyBagnall

• [BUG] BORF failing without numba (#2254) @Cyril-Meyer

• [DOC] Add transformations notebook (#2274) @TonyBagnall

• [BUG] Bug fix in SimpleImputer (#2363) @notaryanramani

Deprecation

• [ENH] Remove Forecasting Module (#2037) @TonyBagnall

Documentation

• [DOC] Add transformations notebook (#2274) @TonyBagnall

• [DOC] Add imputer to notebook (#2365) @TonyBagnall

• [DOC] speed up notebooks (#2393) @TonyBagnall

Enhancements

• [ENH] add DownsampleTransformer (#1997) @griegner

• [ENH] Savitzky-Golay Transformer (#1984) @Cyril-Meyer

• [ENH] add BaseSeriesTransformer - Moving Average Transformer (#1927) @Datadote

• [ENH] add BaseSeriesTransformer - ExpSmoothingSeriesTransformer (#2019) @Datadote

• [ENH] Add collection transformer for normalisation (#2005) @aryanpola

• [ENH] Remove Forecasting Module (#2037) @TonyBagnall

• [ENH] Tidy up unequal length collection transformers (#1737) @TonyBagnall

• [ENH] Add a warping path series transformer (#2001) @hadifawaz1999

• [ENH] Adds a SeriesToCollection broadcaster (#1632) @TonyBagnall

• [ENH] Make transformer files private (#2072) @TonyBagnall

• [ENH] Remove segmenter transformers, tidy up API (#2096) @TonyBagnall

• [ENH] Convert BaseTransformer into an abstract class (#2124) @MatthewMiddlehurst

• [ENH] Added Regressor for Channel Scorer (#1993) @aryanpola

• [ENH] Add Yeo Johnson Transform (#2164) @alexbanwell1

• [ENH] more fixes for float_ (#2215) @TonyBagnall

• [ENH] Remove soft dependency on pyfftw (#2213) @TonyBagnall

• [ENH] Add BORF transformer (#2062) @fspinna

• [ENH] Change ACF default lags (#2228) @TonyBagnall

• [ENH] Gaussian Filter Transformer (#2253) @Cyril-Meyer

• [ENH] Change feature based transformer names (#2229) @TonyBagnall

• [ENH] Added useful class attributes to SAST based transforms (#2006) @IRKnyazev

• [ENH] Catch22 error handling for unimported pycatch22 module (#1979) @Moonzyyy

• [ENH] Normalise/TimeSeriesScaler reconciliation (#2289) @TonyBagnall

• [ENH] Implemented SimpleImputer (#2347) @notaryanramani

• [ENH] Refactor num_kernels (#2373) @TonyBagnall

Maintenance

• [ENH] more fixes for float_ (#2215) @TonyBagnall

• [MNT] Purging similarity search from distance as argument numba functions (#2176) @baraline

• [MNT] Add/rework transformation tests and remove from exclude list (#2360) @MatthewMiddlehurst

Other

• [ENH] Recursive Median Sieve Transformer (#1985) @Cyril-Meyer

Unit Testing

Bug Fixes

• [BUG] Fix anomaly detector’s compliance with estimator API (related to testing revamp) (#2102) @SebastianSchmidl

• [BUG] Fix TSAD dataset tests (#2232) @SebastianSchmidl

• [BUG] Deal with a few warnings (#2285) @TonyBagnall

• [BUG] Use clone estimator in BaseDeepClusterer to fix check_fit_updates_state fail (#2309) @hadifawaz1999

• [BUG] add multithreading capability tag to LOF to fix main (#2389) @SebastianSchmidl

Deprecation

• [REF,DEP] Refactor BaseObject and BaseEstimator into the same class (#2115) @MatthewMiddlehurst

• [ENH] Remove make_series from anomaly detection (#2282) @TonyBagnall

Documentation

• [DOC,ENH] base docs and testing (#2273) @MatthewMiddlehurst

Enhancements

• [ENH] Dataset loader coverage (#2055) @TonyBagnall

• [ENH] Add shift-scale distance (k-SC clusterers distance) (#2139) @chrisholder

• [ENH] tag type storage and tag testing rework (#2138) @MatthewMiddlehurst

• [ENH] Add testing for TDE (#2144) @TonyBagnall

• [ENH] Some changes to utils testing (following from #2137) (#2167) @MatthewMiddlehurst

• [ENH] Update remaining registry files (#2198) @MatthewMiddlehurst

• [ENH] Rework _HeterogenousMetaEstimator and composable estimators (#2242) @MatthewMiddlehurst

• [DOC,ENH] base docs and testing (#2273) @MatthewMiddlehurst

• [ENH] Remove make_series from anomaly detection (#2282) @TonyBagnall

• [ENH] Change test set up for LearnedShapelets (#2312) @TonyBagnall

• [ENH]check for algorithm_type (#2339) @aryanpola

• [ENH] Make deep clustering consisting with other deep learning submodules in terms of saving/loading (#2359) @hadifawaz1999

• [ENH] Remove make_series part II (#2310) @TonyBagnall

Maintenance

• [MNT] Remove legacy testing (#2076) @MatthewMiddlehurst

• [MNT] Disable and comment out similarity search and RDST test failures (#2080) @MatthewMiddlehurst

• [MNT] Final move of general estimator testing to new framework. (#2086) @MatthewMiddlehurst

• [MNT] CI fixes and pytest options (#2249) @MatthewMiddlehurst

• [MNT] testing remaining cleanup (#2349) @MatthewMiddlehurst

• [MNT] Tidy up classification and regression tests (#2314) @MatthewMiddlehurst

• [MNT] Update and consolidate general estimator checks (#2377) @MatthewMiddlehurst

• [MNT] Improve multithreading testing (#2317) @MatthewMiddlehurst

• [MNT] Add/rework transformation tests and remove from exclude list (#2360) @MatthewMiddlehurst

Refactored

• [REF,DEP] Refactor BaseObject and BaseEstimator into the same class (#2115) @MatthewMiddlehurst

Other

• [ENH] Implemented MockCluster in testing module (#2029) @notaryanramani

• [ENH] Speed up the regression distances tests (#2052) @TonyBagnall

Visualisations

Bug Fixes

• [BUG] Fixed Bug for negative values for scatter plot (#2364) @kavya-r30

Enhancements

• [ENH] extending PR #2017 to multiclass case (#2026) @IRKnyazev

• [ENH] Rework series plotting to work with numpy arrays (#2279) @TonyBagnall

• [ENH] remove old check_series and other legacy functions (#2311) @TonyBagnall

• [ENH] Port in multi comparison matrix into visualisation module (#2343) @TonyBagnall

Documentation

• [ENH] Documented why rotational forest isn’t visualisable in the shapelet viz module (#2027) @IRKnyazev

Other

Bug Fixes

• [BUG] Coverage and bug fixes for utils (#2137) @TonyBagnall

• [BUG] Fix bug_report.yml template show_versions (#2321) @SebastianSchmidl

Deprecation

• [MNT] Tidy up utils (#2093) @TonyBagnall

• [DEP] Removes an unused validation function (#2097) @TonyBagnall

Documentation

• [DOC] Removed reference to supervised regression notebook (#2064) @danielroberts20

• [DOC] Add Proximity Forest to the distance-based notebook (#2003) @itsdivya1309

• [DOC] Update developer list (#2077) @MatthewMiddlehurst

• [DOC] Fix notebook failures (#2090) @MatthewMiddlehurst

• [MNT] Outdated notebooks and upgraded ruff bound (#2014) @aryanpola

• [DOC] Fix small typo (#2173) @georgejl7

• [DOC] Fix deep learning notebook (#2197) @TonyBagnall

• [DOC] Add JMLR paper to readme (#2203) @TonyBagnall

• [DOC, ENH] Add WEASEL v2 and Human Activity Challenge Papers (#2204) @patrickzib

• [DOC] Add images for examples front page (#2241) @TonyBagnall

• [DOC] Add BORF to papers_using_aeon.md (#2223) @fspinna

• [DOC] Remove glossary (#2271) @TonyBagnall

• [DOC] Update classification notebook reference (#2275) @emmanuel-ferdman

• [DOC] Add Hydra and MR-Hydra examples to the notebook (#2272) @itsdivya1309

• [DOC] Catch22 notebook (#1964) @Moonzyyy

• [DOC]removed registry (#2288) @aryanpola

• [DOC] Rework getting started guide and single problem forecasting loaders (#2248) @TonyBagnall

• [DOC] Update developer documentation (#2297) @MatthewMiddlehurst

• [DOC] Shapelet transform notebook (#2046) @IRKnyazev

• [MNT] Updated username (#2332) @SebastianSchmidl

• [DOC] Changes to first text (#2331) @TonyBagnall

• [DOC] Revert botched CONTRIBUTORS.md merge (#2356) @MatthewMiddlehurst

• [DOC] Preprocessing notebook (#2345) @TonyBagnall

• [DOC] top level notebook changes (#2346) @TonyBagnall

• [DOC] Update README (#2370) @MatthewMiddlehurst

• [DOC] Tidy up index, governance and code_of_conduct pages. (#2375) @MatthewMiddlehurst

• [DOC] tidy classification and shapelet notebooks (#2381) @TonyBagnall

• [DOC] remove shapelet notebook (#2391) @TonyBagnall

• [DOC] Update api references of networks (#2401) @hadifawaz1999

• [DOC] Getting started and contributing documentation update (#2394) @MatthewMiddlehurst

• [DOC] Utils and forecasting api docs (#2402) @MatthewMiddlehurst

• [DOC] Regression and segmentation api (#2399) @MatthewMiddlehurst

• [DOC] Update API webpages to include new classes and functions (#2397) @MatthewMiddlehurst

• [DOC] Imports and api for visualisation and transformers (#2404) @MatthewMiddlehurst

• [DOC] Update examples webpage (#2396) @MatthewMiddlehurst

• [DOC] Update datasets api and data format page (#2398) @MatthewMiddlehurst

• [DOC] Documentation fixes (#2405) @MatthewMiddlehurst

• [DOC] Update .all-contributorsrc to add myself as a contributor (#2200) @alexbanwell1

• [DOC] Seperated Notes and References (#2291) @aryanpola

Enhancements

• [ENH] Move show_versions to utils and tidy (#2085) @MatthewMiddlehurst

• [ENH] Update pandas version (#913) @MatthewMiddlehurst

• [ENH] Remove BaseEstimator methods (#2120) @MatthewMiddlehurst

• [ENH] More BaseEstimator method and attribute changes (#2150) @MatthewMiddlehurst

• [ENH] More base class method removals (#2171) @MatthewMiddlehurst

• [REF,ENH] Refactor test params/instance methods and disable sklearn metadata function creation (#2237) @MatthewMiddlehurst

• [ENH] Add some coverage for performance metrics (#2226) @TonyBagnall

• [ENH] show versions option to print (#2327) @TonyBagnall

• [ENH] convert list of 1D numpy to 2D (#2378) @TonyBagnall

• [ENH] Collection and series base tidy (#2352) @MatthewMiddlehurst

Maintenance

• [MNT] Fast release workflow (#2039) @MatthewMiddlehurst

• [MNT] Edit CODEOWNERS for upcoming deprecations (#1972) @MatthewMiddlehurst

• [MNT] Unit testing revamp part 4: clustering (#1877) @MatthewMiddlehurst

• [MNT] Tidy up utils (#2093) @TonyBagnall

• [MNT] Update dependencies for v1.0.0 (#2079) @MatthewMiddlehurst

• [MNT] Add typecheck workflow using mypy (#2092) @MatthewMiddlehurst

• [MNT] License change (#2073) @TonyBagnall

• [MNT] remove redundant soft dependency checks (#2101) @SebastianSchmidl

• [MNT] Move build_tools (#2078) @MatthewMiddlehurst

• [MNT] Outdated notebooks and upgraded ruff bound (#2014) @aryanpola

• [MNT] Update to scipy <1.15 (#2105) @MatthewMiddlehurst

• [MNT] Fix RDST CI failure and slow down (#2121) @baraline

• [MNT] Fix numba function caching the PR testing (#2182) @MatthewMiddlehurst

• [MNT] Changes in preparation for update to numpy 2 (#1813) @MatthewMiddlehurst

• [MNT] Make aeon numpy compatible with both =>2.0 and <2.0 (#2216) @TonyBagnall

• [MNT] Updated username (#2332) @SebastianSchmidl

• [MNT] Run full tests on main branch merge (#2329) @MatthewMiddlehurst

Refactored

• [REF] Rename tags (#2155) @MatthewMiddlehurst

• [REF] Rename BaseEstimator to BaseAeonEstimator (#2162) @MatthewMiddlehurst

• [REF,ENH] Refactor test params/instance methods and disable sklearn metadata function creation (#2237) @MatthewMiddlehurst

Contributors

The following have contributed to this release through a collective 212 GitHub Pull Requests:

@aadya940, @alexbanwell1, @aryanpola, @baraline, @chrisholder, @Cyril-Meyer, @danielroberts20, @Datadote, @emmanuel-ferdman, @ferewi, @fspinna, @georgejl7, @griegner, @hadifawaz1999, @IRKnyazev, @itsdivya1309, @kavya-r30, @LinGinQiu, @MatthewMiddlehurst, @Moonzyyy, @notaryanramani, @patrickzib, @pattplatt, @SebastianSchmidl, @Sharathchenna, @TonyBagnall