Rename contributor guide for github magic #106
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Yes. I forgot to do a grep. Just did one and updated README. |
dmdunla
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* Update nvecs to use tenmat. * Full implementation of collapse. Required implementation of tensor.from_tensor_type for tenmat objects. Updated tensor tests. (#32) * Update __init__.py Bump version. * Create CHANGELOG.md Changelog update * Update CHANGELOG.md Consistent formatting * Update CHANGELOG.md Correction * Create ci-tests.yml * Update README.md Adding coverage statistics from coveralls.io * Create requirements.txt * 33 use standard license (#34) * Use standard, correctly formatted LICENSE * Delete LICENSE * Create LICENSE * Update and rename ci-tests.yml to regression-tests.yml * Update README.md * Fix bug in tensor.mttkrp that only showed up when ndims > 3. (#36) * Update __init__.py Bump version * Bump version * Adding files to support pypi dist creation and uploading * Fix PyPi installs. Bump version. * Fixing np.reshape usage. Adding more tests for tensor.ttv. (#38) * Fixing issues with np.reshape; requires order='F' to align with Matlab functionality. (#39) Closes #30 . * Bump version. * Adding tensor.ttm. Adding use case in tenmat to support ttm testing. (#40) Closes #27 * Bump version * Format CHANGELOG * Update CHANGELOG.md * pypi puslishing action on release * Allowing rdims or cdims to be empty array. (#43) Closes #42 * Adding tensor.ttt implementation. (#44) Closes 28 * Bump version * Implement ktensor.score and associated tests. * Changes to supporting pyttb data classes and associated tests to enable ktensor.score. * Bump version. * Compatibility with numpy 1.24.x (#49) Close #48 * Replace "numpy.float" with equivalent "float" numpy.float was deprecated in 1.20 and removed in 1.24 * sptensor.ttv: support 'vector' being a plain list (rather than just numpy.ndarray). Backwards compatible - an ndarray argument still works. This is because in newer numpy, it's not allowed to do np.array(list) where the elements of list are ndarrays of different shapes. * Make ktensor.innerprod call ttv with 'vector' as plain list (instead of numpy.ndarray, because newer versions don't allow ragged arrays) * tensor.ttv: avoid ragged numpy arrays * Fix two unit test failures due to numpy related changes * More numpy updates - numpy.int is removed - use int instead - don't try to construct ragged/inhomogeneous numpy arrays in tests. Use plain lists of vectors instead * Fix typo in assert message * Let ttb.tt_dimscheck catch empty input error In the three ttv methods, ttb.tt_dimscheck checks that 'vector' argument is not an empty list/ndarray. Revert previous changes that checked for this before calling tt_dimscheck. * Bump version * TENSOR: Fix slices ref shen return value isn't scalar or vector. #41 (#50) Closes #41 * Ttensor implementation (#51) * TENSOR: Fix slices ref shen return value isn't scalar or vector. #41 * TTENSOR: Add tensor creation (partial support of core tensor types) and display * SPTENSOR: Add numpy scalar type for multiplication filter. * TTENSOR: Double, full, isequal, mtimes, ndims, size, uminus, uplus, and partial innerprod. * TTENSOR: TTV (finishes innerprod), mttkrp, and norm * TTENSOR: TTM, permute and minor cleanup. * TTENSOR: Reconstruct * TTENSOR: Nvecs * SPTENSOR: * Fix argument mismatch for ttm (modes s.b. dims) * Fix ttm for rectangular matrices * Make error message consitent with tensor TENSOR: * Fix error message * TTENSOR: Improve test coverage and corresponding bug fixes discovered. * Test coverage (#52) * SPTENSOR: * Fix argument mismatch for ttm (modes s.b. dims) * Fix ttm for rectangular matrices * Make error message consitent with tensor TENSOR: * Fix error message * SPTENSOR: Improve test coverage, replace prints, and some doc string fixes. * PYTTUB_UTILS: Improve test coverage * TENMAT: Remove impossible condition. Shape is a property, the property handles the (0,) shape condition. So ndims should never see it. * TENSOR: Improve test coverage. One line left, but logic of setitem is unclear without MATLAB validation of behavior. * CP_APR: Add tests fpr sptensor, and corresponding bug fixes to improve test coverage. --------- Co-authored-by: Danny Dunlavy <dmdunla@sandia.gov> * Bump version * TUCKER_ALS: Add tucker_als to validate ttucker implementation. (#53) * Bump version of actions (#55) actions/setup-python@v4 to avoid deprecation warnings * Tensor docs plus Linting and Typing and Black oh my (#54) * TENSOR: Apply black and enforce it * TENSOR: Add isort and pylint. Fix to pass then enforce * TENSOR: Variety of linked fixes: * Add mypy type checking * Update infrastructure for validating package * Fix doc tests and add more examples * DOCTEST: Add doctest automatically to regression * Fix existing failures * DOCTEST: Fix non-uniform array * DOCTEST: Fix precision errors in example * AUTOMATION: Add test directory otherwise only doctests run * TENSOR: Fix bad rebase from numpy fix * Auto formatting (#60) * COVERAGE: Fix some coverage regressions from pylint PR * ISORT: Run isort on source and tests * BLACK: Run black on source and tests * BLACK: Run black on source and tests * FORMATTING: Add tests and verification for autoformatting * FORMATTING: Add black/isort to root to simplify * Add preliminary contributor guide instructions Closes #59 * TUCKER_ALS: TTM with negative values is broken in ttensor (#62) (#66) * Replace usage in tucker_als * Update test for tucker_als to ensure result matches expectation * Add early error handling in ttensor ttm for negative dims * Hosvd (#67) * HOSVD: Preliminary outline of core functionality * HOSVD: Fix numeric bug * Was slicing incorrectly * Update test to check convergence * HOSVD: Finish output and test coverage * TENSOR: Prune numbers real * Real and mypy don't play nice python/mypy#3186 * This allows partial typing support of HOSVD * Add test that matches TTB for MATLAB output of HOSVD (#79) This closes #78 * Bump version (#81) Closes #80 * Lint pyttb_utils and lint/type sptensor (#77) * PYTTB_UTILS: Fix and enforce pylint * PYTTB_UTILS: Pull out utility only used internally in sptensor * SPTENSOR: Fix and enforce pylint * SPTENSOR: Initial pass a typing support * SPTENSOR: Complete initial typing coverage * SPTENSOR: Fix test coverage from typing changes. * PYLINT: Update test to lint files in parallel to improve dev experience. * HOSVD: Negative signs can be permuted for equivalent decomposition (#82) * Pre commit (#83) * Setup and pyproject are redundant. Remove and resolve install issue * Try adding pre-commit hooks * Update Makefile for simplicity and add notes to contributor guide. * Make pre-commit optional opt-in * Make regression tests use simplified dependencies so we track fewer places. * Using dynamic version in pyproject.toml to reduce places where version is set. (#86) * Adding shell=True to subprocess.run() calls (#87) * Adding Nick to authors (#89) * Release prep (#90) * Fix author for PyPI. Bump to dev version. * Exclude dims (#91) * Explicit Exclude_dims: * Updated tt_dimscheck * Update all uses of tt_dimscheck and propagate interface * Add test coverage for exclude dims changes * Tucker_als: Fix workaround that motivated exclude_dims * Bump version * Spelling * Tensor generator helpers (#93) * TENONES: Add initial tenones support * TENZEROS: Add initial tenzeros support * TENDIAG: Add initial tendiag support * SPTENDIAG: Add initial sptendiag support * Link in autodocumentation for recently added code: (#98) * TTENSOR, HOSVD, TUCKER_ALS, Tensor generators * Remove warning for nvecs: (#99) * Make debug level log for now * Remove test enforcement * Rand generators (#100) * Non-functional change: * Fix numpy deprecation warning, logic should be equivalent * Tenrand initial implementation * Sptenrand initial implementation * Complete pass on ktensor docs. (#101) * Bump version * Bump version * Trying to fix coveralls * Trying coveralls github action * Fixing arrange and normalize. (#103) * Fixing arrange and normalize. * Merge main (#104) * Trying to fix coveralls * Trying coveralls github action * Rename contributor guide for github magic (#106) * Rename contributor guide for github magic * Update reference to contributor guide from README * Fixed the mean and stdev typo for cp_als (#117) * Changed cp_als() param 'tensor' to 'input_tensor' to avoid ambiguity (#118) * Changed cp_als() param 'tensor' to 'input_tensor' to avoid ambiguity * Formatted changes with isort and black. * Updated all `tensor`-named paramteres to `input_tensor`, including in docs (#120) * Tensor growth (#109) * Tensor.__setitem__: Break into methods * Non-functional change to make logic flow clearer * Tensor.__setitem__: Fix some types to resolve edge cases * Sptensor.__setitem__: Break into methods * Non-functional change to make flow clearer * Sptensor.__setitem__: Catch additional edge cases in sptensor indexing * Tensor.__setitem__: Catch subtensor additional dim growth * Tensor indexing (#116) * Tensor.__setitem__/__getitem__: Fix linear index * Before required numpy array now works on value/slice/Iterable * Tensor.__getitem__: Fix subscripts usage * Consistent with setitem now * Update usages (primarily in sptensor) * Sptensor.__setitem__/__getitem__: Fix subscripts usage * Consistent with tensor and MATLAB now * Update test usage * sptensor: Add coverage for improved indexing capability * tensor: Add coverage for improved indexing capability --------- Co-authored-by: brian-kelley <brian.honda11@gmail.com> Co-authored-by: ntjohnson1 <24689722+ntjohnson1@users.noreply.github.com> Co-authored-by: Dunlavy <dmdunla@s1075069.srn.sandia.gov> Co-authored-by: DeepBlockDeepak <43120318+DeepBlockDeepak@users.noreply.github.com>
dmdunla
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Jun 3, 2023
* Merge latest updates (#124) * Update nvecs to use tenmat. * Full implementation of collapse. Required implementation of tensor.from_tensor_type for tenmat objects. Updated tensor tests. (#32) * Update __init__.py Bump version. * Create CHANGELOG.md Changelog update * Update CHANGELOG.md Consistent formatting * Update CHANGELOG.md Correction * Create ci-tests.yml * Update README.md Adding coverage statistics from coveralls.io * Create requirements.txt * 33 use standard license (#34) * Use standard, correctly formatted LICENSE * Delete LICENSE * Create LICENSE * Update and rename ci-tests.yml to regression-tests.yml * Update README.md * Fix bug in tensor.mttkrp that only showed up when ndims > 3. (#36) * Update __init__.py Bump version * Bump version * Adding files to support pypi dist creation and uploading * Fix PyPi installs. Bump version. * Fixing np.reshape usage. Adding more tests for tensor.ttv. (#38) * Fixing issues with np.reshape; requires order='F' to align with Matlab functionality. (#39) Closes #30 . * Bump version. * Adding tensor.ttm. Adding use case in tenmat to support ttm testing. (#40) Closes #27 * Bump version * Format CHANGELOG * Update CHANGELOG.md * pypi puslishing action on release * Allowing rdims or cdims to be empty array. (#43) Closes #42 * Adding tensor.ttt implementation. (#44) Closes 28 * Bump version * Implement ktensor.score and associated tests. * Changes to supporting pyttb data classes and associated tests to enable ktensor.score. * Bump version. * Compatibility with numpy 1.24.x (#49) Close #48 * Replace "numpy.float" with equivalent "float" numpy.float was deprecated in 1.20 and removed in 1.24 * sptensor.ttv: support 'vector' being a plain list (rather than just numpy.ndarray). Backwards compatible - an ndarray argument still works. This is because in newer numpy, it's not allowed to do np.array(list) where the elements of list are ndarrays of different shapes. * Make ktensor.innerprod call ttv with 'vector' as plain list (instead of numpy.ndarray, because newer versions don't allow ragged arrays) * tensor.ttv: avoid ragged numpy arrays * Fix two unit test failures due to numpy related changes * More numpy updates - numpy.int is removed - use int instead - don't try to construct ragged/inhomogeneous numpy arrays in tests. Use plain lists of vectors instead * Fix typo in assert message * Let ttb.tt_dimscheck catch empty input error In the three ttv methods, ttb.tt_dimscheck checks that 'vector' argument is not an empty list/ndarray. Revert previous changes that checked for this before calling tt_dimscheck. * Bump version * TENSOR: Fix slices ref shen return value isn't scalar or vector. #41 (#50) Closes #41 * Ttensor implementation (#51) * TENSOR: Fix slices ref shen return value isn't scalar or vector. #41 * TTENSOR: Add tensor creation (partial support of core tensor types) and display * SPTENSOR: Add numpy scalar type for multiplication filter. * TTENSOR: Double, full, isequal, mtimes, ndims, size, uminus, uplus, and partial innerprod. * TTENSOR: TTV (finishes innerprod), mttkrp, and norm * TTENSOR: TTM, permute and minor cleanup. * TTENSOR: Reconstruct * TTENSOR: Nvecs * SPTENSOR: * Fix argument mismatch for ttm (modes s.b. dims) * Fix ttm for rectangular matrices * Make error message consitent with tensor TENSOR: * Fix error message * TTENSOR: Improve test coverage and corresponding bug fixes discovered. * Test coverage (#52) * SPTENSOR: * Fix argument mismatch for ttm (modes s.b. dims) * Fix ttm for rectangular matrices * Make error message consitent with tensor TENSOR: * Fix error message * SPTENSOR: Improve test coverage, replace prints, and some doc string fixes. * PYTTUB_UTILS: Improve test coverage * TENMAT: Remove impossible condition. Shape is a property, the property handles the (0,) shape condition. So ndims should never see it. * TENSOR: Improve test coverage. One line left, but logic of setitem is unclear without MATLAB validation of behavior. * CP_APR: Add tests fpr sptensor, and corresponding bug fixes to improve test coverage. --------- Co-authored-by: Danny Dunlavy <dmdunla@sandia.gov> * Bump version * TUCKER_ALS: Add tucker_als to validate ttucker implementation. (#53) * Bump version of actions (#55) actions/setup-python@v4 to avoid deprecation warnings * Tensor docs plus Linting and Typing and Black oh my (#54) * TENSOR: Apply black and enforce it * TENSOR: Add isort and pylint. Fix to pass then enforce * TENSOR: Variety of linked fixes: * Add mypy type checking * Update infrastructure for validating package * Fix doc tests and add more examples * DOCTEST: Add doctest automatically to regression * Fix existing failures * DOCTEST: Fix non-uniform array * DOCTEST: Fix precision errors in example * AUTOMATION: Add test directory otherwise only doctests run * TENSOR: Fix bad rebase from numpy fix * Auto formatting (#60) * COVERAGE: Fix some coverage regressions from pylint PR * ISORT: Run isort on source and tests * BLACK: Run black on source and tests * BLACK: Run black on source and tests * FORMATTING: Add tests and verification for autoformatting * FORMATTING: Add black/isort to root to simplify * Add preliminary contributor guide instructions Closes #59 * TUCKER_ALS: TTM with negative values is broken in ttensor (#62) (#66) * Replace usage in tucker_als * Update test for tucker_als to ensure result matches expectation * Add early error handling in ttensor ttm for negative dims * Hosvd (#67) * HOSVD: Preliminary outline of core functionality * HOSVD: Fix numeric bug * Was slicing incorrectly * Update test to check convergence * HOSVD: Finish output and test coverage * TENSOR: Prune numbers real * Real and mypy don't play nice python/mypy#3186 * This allows partial typing support of HOSVD * Add test that matches TTB for MATLAB output of HOSVD (#79) This closes #78 * Bump version (#81) Closes #80 * Lint pyttb_utils and lint/type sptensor (#77) * PYTTB_UTILS: Fix and enforce pylint * PYTTB_UTILS: Pull out utility only used internally in sptensor * SPTENSOR: Fix and enforce pylint * SPTENSOR: Initial pass a typing support * SPTENSOR: Complete initial typing coverage * SPTENSOR: Fix test coverage from typing changes. * PYLINT: Update test to lint files in parallel to improve dev experience. * HOSVD: Negative signs can be permuted for equivalent decomposition (#82) * Pre commit (#83) * Setup and pyproject are redundant. Remove and resolve install issue * Try adding pre-commit hooks * Update Makefile for simplicity and add notes to contributor guide. * Make pre-commit optional opt-in * Make regression tests use simplified dependencies so we track fewer places. * Using dynamic version in pyproject.toml to reduce places where version is set. (#86) * Adding shell=True to subprocess.run() calls (#87) * Adding Nick to authors (#89) * Release prep (#90) * Fix author for PyPI. Bump to dev version. * Exclude dims (#91) * Explicit Exclude_dims: * Updated tt_dimscheck * Update all uses of tt_dimscheck and propagate interface * Add test coverage for exclude dims changes * Tucker_als: Fix workaround that motivated exclude_dims * Bump version * Spelling * Tensor generator helpers (#93) * TENONES: Add initial tenones support * TENZEROS: Add initial tenzeros support * TENDIAG: Add initial tendiag support * SPTENDIAG: Add initial sptendiag support * Link in autodocumentation for recently added code: (#98) * TTENSOR, HOSVD, TUCKER_ALS, Tensor generators * Remove warning for nvecs: (#99) * Make debug level log for now * Remove test enforcement * Rand generators (#100) * Non-functional change: * Fix numpy deprecation warning, logic should be equivalent * Tenrand initial implementation * Sptenrand initial implementation * Complete pass on ktensor docs. (#101) * Bump version * Bump version * Trying to fix coveralls * Trying coveralls github action * Fixing arrange and normalize. (#103) * Fixing arrange and normalize. * Merge main (#104) * Trying to fix coveralls * Trying coveralls github action * Rename contributor guide for github magic (#106) * Rename contributor guide for github magic * Update reference to contributor guide from README * Fixed the mean and stdev typo for cp_als (#117) * Changed cp_als() param 'tensor' to 'input_tensor' to avoid ambiguity (#118) * Changed cp_als() param 'tensor' to 'input_tensor' to avoid ambiguity * Formatted changes with isort and black. * Updated all `tensor`-named paramteres to `input_tensor`, including in docs (#120) * Tensor growth (#109) * Tensor.__setitem__: Break into methods * Non-functional change to make logic flow clearer * Tensor.__setitem__: Fix some types to resolve edge cases * Sptensor.__setitem__: Break into methods * Non-functional change to make flow clearer * Sptensor.__setitem__: Catch additional edge cases in sptensor indexing * Tensor.__setitem__: Catch subtensor additional dim growth * Tensor indexing (#116) * Tensor.__setitem__/__getitem__: Fix linear index * Before required numpy array now works on value/slice/Iterable * Tensor.__getitem__: Fix subscripts usage * Consistent with setitem now * Update usages (primarily in sptensor) * Sptensor.__setitem__/__getitem__: Fix subscripts usage * Consistent with tensor and MATLAB now * Update test usage * sptensor: Add coverage for improved indexing capability * tensor: Add coverage for improved indexing capability --------- Co-authored-by: brian-kelley <brian.honda11@gmail.com> Co-authored-by: ntjohnson1 <24689722+ntjohnson1@users.noreply.github.com> Co-authored-by: Dunlavy <dmdunla@s1075069.srn.sandia.gov> Co-authored-by: DeepBlockDeepak <43120318+DeepBlockDeepak@users.noreply.github.com> * Adding tests and data for import_data, export_data, sptensor, ktensor. Small changes in code that was unreachable. * Updating formatting with black * More updates for coverage. * Black formatting updates * Update regression-tests.yml Adding verbose to black and isort calls * Black updated locally to align with CI testing * Update regression-tests.yml --------- Co-authored-by: brian-kelley <brian.honda11@gmail.com> Co-authored-by: ntjohnson1 <24689722+ntjohnson1@users.noreply.github.com> Co-authored-by: Dunlavy <dmdunla@s1075069.srn.sandia.gov> Co-authored-by: DeepBlockDeepak <43120318+DeepBlockDeepak@users.noreply.github.com>
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Renames the file since I didn't know about the github naming convention when I added it.
Non-functional change with details in the issue: #105