OkHttp Testing Support
======================

This module offers utilities and support for testing OkHttp itself. It's not intended for use by

### GKE notes

On GKE, 'kube-system' is required.

If using `helm template`, `--set cni.cniBinDir=/home/kubernetes/bin` is required - with `helm install`

**In our tests we also found ext4 does not honor POSIX O_DIRECT/Fdatasync semantics, ext4 trades performance for consistency guarantees. Please avoid ext4 in your setup.**

**If MinIO distributed setup is using NFS volumes underneath it is not guaranteed MinIO will provide these consistency guarantees since NFS is not strictly consistent (If you must use NFS we recommend that you at least use NFSv4 instead of NFSv3 for relatively better outcomes).**

## Get started

## Cloud Scale Deployment

Then in tests annotated `@org.junit.Test`, you may declare a field with the `@Rule` annotation:

```
@Rule public final MockWebServerRule serverRule = new MockWebServerRule();
```

The `serverRule` field has a `server` field. It is an instance of `MockWebServer`. That instance
will be shut down automatically after the test runs.

For Kotlin, the `@JvmField` annotation is also necessary:

```
@JvmField @Rule val serverRule = MockWebServerRule()

consistent with the original source files registering each operator. For example
since `REGISTER_OP("MatMul")` appears in ***core/math_ops.cc***, the "MatMul"
operator in the script should be in the "math" category, and it will be
generated in the output file `c/experimental/ops/math_ops.cc`.

Running this script should be a no-op, generating identical code other than

(*) Parquet is disabled on the MinIO server by default. See below how to enable it.

## Enabling Parquet Format

Parquet is DISABLED by default since hostile crafted input can easily crash the server.

If you are in a controlled environment where it is safe to assume no hostile content can be uploaded to your cluster you can safely enable Parquet.

------------------- |
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[TensorFlow](https://www.tensorflow.org/) is an end-to-end open source platform
for machine learning. It has a comprehensive, flexible ecosystem of
[tools](https://www.tensorflow.org/resources/tools),
[libraries](https://www.tensorflow.org/resources/libraries-extensions), and

> ```

### 3. Compression + Encryption

Combining encryption and compression is not safe in all setups.
This is particularly so if the compression ratio of your content reveals information about it.
See [CRIME TLS](https://en.wikipedia.org/wiki/CRIME) as an example of this.

Therefore, compression is disabled when encrypting by default, and must be enabled separately.