name: Feedback

on:
  schedule:
    - cron: '0 * * * *' # every hour
  workflow_dispatch:

permissions: {}

jobs:
  feedback:
    permissions:
      issues: write
      pull-requests: write
    runs-on: ubuntu-latest
    steps:
      # Feedback loop: ask for something on PR/Issue and close if not provided or return to the queue on update.
      # https://github.com/gradle/issue-management-action/blob/main/src/feedback.ts

name: 'Close stale PRs'
on:
  schedule:
    # Execute every hour at xx:05 to avoid conflicts with other workflows
    - cron: '5 * * * *'

permissions: {}

jobs:
  stale:
    permissions:
      pull-requests: write

    runs-on: ubuntu-latest
    steps:
      - uses: actions/stale@v9
        with:
          operations-per-run: 50
          ascending: true
          exempt-all-milestones: true

 * iterator generator may delegate the work of creating the underlying collection to an inner
 * collection generator.
 *
 * <p>{@code GwtTestSuiteGenerator} expects every {@code DerivedIterator} implementation to provide
 * a one-arg constructor accepting its inner generator as an argument. This requirement enables it
 * to generate source code (since GWT cannot use reflection to generate the suites).

 * iterator generator may delegate the work of creating the underlying collection to an inner
 * collection generator.
 *
 * <p>{@code GwtTestSuiteGenerator} expects every {@code DerivedIterator} implementation to provide
 * a one-arg constructor accepting its inner generator as an argument. This requirement enables it
 * to generate source code (since GWT cannot use reflection to generate the suites).

Then wrap the WSGI (e.g. Flask) app with the middleware.

And then mount that under a path.

```Python hl_lines="2-3  23"
{!../../docs_src/wsgi/tutorial001.py!}
```

## Check it

Now, every request under the path `/v1/` will be handled by the Flask application.

And the rest will be handled by **FastAPI**.

   - sanjoy
# filesystem path
filesystem_path:
   - tensorflow/c/experimental/filesystem
# security path
security_path:
   - tensorflow/security
# words checklist
segfault_memory:
   - segfault
   - memory leaks
# assignees
filesystem_security_assignee:
   - mihaimaruseac
   
# Cuda Comment
cuda_comment: >
   From the template it looks like you are installing **TensorFlow** (TF) prebuilt binaries:

labels: [ "a:feature", "to-triage" ]
assignees: [ ]
body:
  - type: markdown
    attributes:
      value: |
        Please follow the instructions below.
        We receive dozens of issues every week, so to stay productive, we will close issues that don't provide enough information.

        Please open Android-related issues on [the Android Issue Tracker](https://source.android.com/source/report-bugs)

Contributing
============

If you would like to contribute code to OkHttp you can do so through GitHub by
forking the repository and sending a pull request.

When submitting code, please make every effort to follow existing conventions
and style in order to keep the code as readable as possible. Please also make
sure your code compiles by running `./gradlew check`. Checkstyle failures
during compilation indicate errors in your style and can be viewed in the

       - The compressed index.xml file contains a timestamp property which
       changes with every test execution, such that running the test
       actually changes the test classpath itself. This means that it
       can"t benefit from incremental build acceleration, because on every
       execution it sees that the classpath has changed, and so to be
       safe, it needs to re-run.

* Introduce node memory pressure condition to scheduler ([#25531](https://github.com/kubernetes/kubernetes/pull/25531), [@ingvagabund](https://github.com/ingvagabund))
* Fix detection of docker cgroup on RHEL ([#25907](https://github.com/kubernetes/kubernetes/pull/25907), [@ncdc](https://github.com/ncdc))