type WriteTest struct {
	Name   string
	Data   []byte
	Method uint16
	Mode   fs.FileMode
}

var writeTests = []WriteTest{
	{
		Name:   "foo",
		Data:   []byte("Rabbits, guinea pigs, gophers, marsupial rats, and quolls."),
		Method: Store,
		Mode:   0666,
	},
	{
		Name:   "bar",
		Data:   nil, // large data set in the test
		Method: Deflate,
		Mode:   0644,
	},
	{

# This workflow will build a Java project with Maven
# For more information see: https://help.github.com/actions/language-and-framework-guides/building-and-testing-java-with-maven

name: Java CI with Maven

on:
  push:
    branches:
    - master
    - "*.x"
  pull_request:
    branches:
    - master
    - "*.x"

jobs:
  build:

    runs-on: ubuntu-latest
    env:
      PARENT_BRANCH: main

    steps:

#### Coding style for other languages

*   [Google Java Style Guide](https://google.github.io/styleguide/javaguide.html)
*   [Google JavaScript Style Guide](https://google.github.io/styleguide/jsguide.html)
*   [Google Shell Style Guide](https://google.github.io/styleguide/shellguide.html)
*   [Google Objective-C Style Guide](https://google.github.io/styleguide/objcguide.html)

#### Running sanity check

# This workflow will build a Java project with Maven
# For more information see: https://help.github.com/actions/language-and-framework-guides/building-and-testing-java-with-maven

name: Java CI with Maven

on:
  push:
    branches:
    - master
    - "*.x"
  pull_request:
    branches:
    - master
    - "*.x"

jobs:
  build:

    runs-on: ubuntu-latest
    env:
      PARENT_BRANCH: main

    steps:

       * Refer [windows setup guide](https://www.tensorflow.org/install/gpu#windows_setup).
     * If you have above configuration and using _**Ubuntu/Linux**_ platform -
       * Try adding the CUDA, CUPTI, and cuDNN installation directories to the $LD_LIBRARY_PATH environment variable.
       * Refer [linux setup guide](https://www.tensorflow.org/install/gpu#linux_setup).

      - name: Check links
        uses: lycheeverse/lychee-action@v2.6.1
        with:
          # excluded:
          # - notes.md and notes-templates.md - because they are a part of user guide
          # - Kotlin's Module.md - because it's a part of the Kotlin DSL docs
          args: >
            --no-progress --offline '**/*.md' --include-fragments

to
[******@****.***](https://groups.google.com/a/tensorflow.org/forum/#!forum/announce).
See all the [mailing lists](https://www.tensorflow.org/community/forums).

## Install

See the [TensorFlow install guide](https://www.tensorflow.org/install) for the
[pip package](https://www.tensorflow.org/install/pip), to
[enable GPU support](https://www.tensorflow.org/install/gpu), use a

- [ ] Provide integration tests (under `<subproject>/src/integTest`) to verify changes from a user perspective.
- [ ] Provide unit tests (under `<subproject>/src/test`) to verify logic.
- [ ] Update User Guide, DSL Reference, and Javadoc for public-facing changes.
- [ ] Ensure that tests pass sanity check: `./gradlew sanityCheck`.
- [ ] Ensure that tests pass locally: `./gradlew <changed-subproject>:quickTest`.

### Reviewing cheatsheet

For details on best practices with 2.0, see
[the Effective 2.0 guide](https://www.tensorflow.org/beta/guide/effective_tf2)

For information on upgrading your existing TensorFlow 1.x models, please refer
to our
[Upgrade](https://medium.com/tensorflow/upgrading-your-code-to-tensorflow-2-0-f72c3a4d83b5)
and [Migration](https://www.tensorflow.org/beta/guide/migration_guide) guides.
We have also released a collection of

  _logging.warning("""

  TensorFlow's `tf-nightly` package will soon be updated to TensorFlow 2.0.

  Please upgrade your code to TensorFlow 2.0:
    * https://www.tensorflow.org/guide/migrate

  Or install the latest stable TensorFlow 1.X release:
    * `pip install -U "tensorflow==1.*"`

  Otherwise your code may be broken by the change.

  """)