### Description
* Update python version metadata to be in sync with latest python
packages (onnxruntime, onnxruntime-gpu and onnxruntime-qnn).
* Update black format target-version to 3.10, and use lintrunner to
format all files.
* Update the lintrunner installation command line to be consistent.
* Include `requirements-lintrunner.txt` in `requirements-dev.txt` to
avoid duplicated settings.
### Motivation and Context
https://github.com/microsoft/onnxruntime/issues/22993
Python support by numpy:
https://numpy.org/neps/nep-0029-deprecation_policy.html#drop-schedule
```
On Apr 05, 2024 drop support for Python 3.9
On Apr 04, 2025 drop support for Python 3.10
```
### Description
* Add lintrunner to requirements-lintrunner.txt
* Lock lintrunner and lintrunner-adapter version
* Update documentation
### Motivation and Context
The document is not up to date.
### Description
`lintrunner` is a linter runner successfully used by pytorch, onnx and
onnx-script. It provides a uniform experience running linters locally
and in CI. It supports all major dev systems: Windows, Linux and MacOs.
The checks are enforced by the `Python format` workflow.
This PR adopts `lintrunner` to onnxruntime and fixed ~2000 flake8 errors
in Python code. `lintrunner` now runs all required python lints
including `ruff`(replacing `flake8`), `black` and `isort`. Future lints
like `clang-format` can be added.
Most errors are auto-fixed by `ruff` and the fixes should be considered
robust.
Lints that are more complicated to fix are applied `# noqa` for now and
should be fixed in follow up PRs.
### Notable changes
1. This PR **removed some suboptimal patterns**:
- `not xxx in` -> `xxx not in` membership checks
- bare excepts (`except:` -> `except Exception`)
- unused imports
The follow up PR will remove:
- `import *`
- mutable values as default in function definitions (`def func(a=[])`)
- more unused imports
- unused local variables
2. Use `ruff` to replace `flake8`. `ruff` is much (40x) faster than
flake8 and is more robust. We are using it successfully in onnx and
onnx-script. It also supports auto-fixing many flake8 errors.
3. Removed the legacy flake8 ci flow and updated docs.
4. The added workflow supports SARIF code scanning reports on github,
example snapshot:
5. Removed `onnxruntime-python-checks-ci-pipeline` as redundant
### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
Unified linting experience in CI and local.
Replacing https://github.com/microsoft/onnxruntime/pull/14306
---------
Signed-off-by: Justin Chu <justinchu@microsoft.com>
### Description
binraries ==> binaries
### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
Work on minimizing memory management calls by
reducing number of allocations and copies.
Replace std::unordered_set to InlinedHashSet
and add usage of InlinedVector.
Employ std::move() to minimize copying and memory allocations.
Remove copying of the const shared data into each of the
PropagateCast transformer instances.
Move inlined_containers.h header to include/common
Adjust AsSpan imlementation for C++ < 17
Add abseil cgmanifest declaration. Update coding standards for InlinedContainers
Adjust coding guidelines. Add default N calculation for InlinedVector<T, N> for general use.
Rename T from InlinedShapeVectorT. Fix Eager build
Add LLVM Copyright with modified derived code notice.
* Enable running PEP8 checks via flake8 as part of the build if flake8 is installed.
Update scripts in \tools and \onnxruntime\python. Excluding \onnxruntime\python\tools which needs a lot more work to be PEP8 compliant. Also excluding orttraining\tools for the same reason.
Install flake8 as part of the static_analysis build task in the Win-CPU CI so the checks are run in one CI build.
Update coding standards doc.
* Mention OrtCreateSessionFromArray in C API doc
* Fix perf test executable due to removal of certain C APIs
* fix linux build
* Avoid duplication
* Update coding guidelines to prefer using make_unique for heap allocations (unless where not possible).
* As we consistently use non-const reference for modifiable arguments that cannot be null, update the conventions to reflect that.
Add a note on qualifying 'auto' to make the intent clearer and it easier to notice accidental copies.
* Address PR comment by adding a statement around disabling copy/assignment/move for new classes until needed.
