[LV] Handle live-ins in findRecipe.
Skip live-ins in findRecipe to prevent a crash for cases with degenerate
reductions (where the backedge value is a live-in). Such reductions
should be removed, but this requires further changes.
Fixes https://github.com/llvm/llvm-project/issues/175229.
py-alembic: updated to 1.18.0
1.18.0
feature
[feature] [operations]
When alembic is run in “verbose” mode, alembic now logs a message to indicate from which file is used to load the configuration.
[feature] [autogenerate]
Autogenerate reflection sweeps now use the “bulk” inspector methods introduced in SQLAlchemy 2.0, which for selected dialects including PostgreSQL and Oracle use batched queries to reflect whole collections of tables using O(1) queries rather than O(N).
[feature] [autogenerate]
Release 1.18.0 introduces a plugin system that allows for automatic loading of third-party extensions as well as configurable autogenerate compare functionality on a per-environment basis.
The Plugin class provides a common interface for extensions that register handlers among Alembic’s existing extension points such as Operations.register_operation() and Operations.implementation_for(). A new interface for registering autogenerate comparison handlers, Plugin.add_autogenerate_comparator(), provides for autogenerate compare functionality that may be custom-configured on a per-environment basis using the new EnvironmentContext.configure.autogenerate_plugins parameter.
The change does not impact well known Alembic add-ons such as alembic-utils, which continue to work as before; however, such add-ons have the option to provide plugin entrypoints going forward.
As part of this change, Alembic’s autogenerate compare functionality is reorganized into a series of internal plugins under the alembic.autogenerate namespace, which may be individually or collectively identified for inclusion and/or exclusion within the EnvironmentContext.configure() call using a new parameter EnvironmentContext.configure.autogenerate_plugins. This parameter is also where third party comparison plugins may also be indicated.
See Plugins for complete documentation on the new Plugin class as well as autogenerate-specific usage instructions.
usecase
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py-textfsm: updated to 2.1.0
2.1.0
Fixed multiple issues with textual Pager:
First line of output was not being displayed (off by one error).
SetLines was being ignored. Page size was fixed to terminal size.
Only every 2nd 'enter' key was registered by tty.read, switched to using 'n' key instead.
Prompt string did not truncate on narrow terminals
Added paging support for MS Windows terminals
Pager no longer exits automatically at end of buffer
Fixes day-one issue of non displaying empty lines
Correctly handles files smaller than the terminal
py-sanic: updated to 25.12.0
25.12.0
Create baseline for bandit to remove false positives
Use secrets for generating unique ping payloads
Add some typing and fix some tests
Fix race condition in worker restart causing spawn failure
Fix AttributeError in close_if_idle() when _http is not initialized
Add typing for parameters of constructor of WorkerManager
Update str_to_bool function to include 'nope' as a valid false value
Add DetailedConverter for advanced environment variable conversion
Fix WorkerManager.kill on Windows
silent on RuntimeError when write_eof
Single letter typo fix for request.md documentation
Fixed incorrect links throughout the documentation
Change the log type to debug
Add correct path for Contribution guidelines
Fix broken link in website
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py-scikit-image: updated to 0.26.0
0.26.0
New Features
- Add new parameter ``max_step_cost`` to ``skimage.graph.MCP.find_costs`` which allows limiting the maximal stepping cost between points
- In ``skimage.transform``, add the ``identity`` class constructor to all geometric transforms. For example, you can now use ``skimage.transform.PolynomialTransform(dimensionality=2)``
- Add new property ``intensity_median`` to ``skimage.measure.regionprops``
- ``binary_blobs`` now supports a ``mode`` parameter for the Gaussian filter, allowing periodic boundary conditions with ``mode="wrap"``
py-scikit-learn: updated to 1.8.0
Version 1.8.0
Changes impacting many modules
- |Efficiency| Improved CPU and memory usage in estimators and metric functions that rely on
weighted percentiles and better match NumPy and Scipy (un-weighted) implementations
of percentiles.
Support for Array API
Additional estimators and functions have been updated to include support for all
`Array API <https://data-apis.org/array-api/latest/>`_ compliant inputs.
