// As a special case make sure to trim the separator.

		// NOTE: It is also perfectly fine for windows users to have a path
		// without C:/ since at that point we treat it as relative path
		// and obtain the full filesystem path as well. Providing C:/
		// style is necessary to provide paths other than C:/,
		// such as F:/, D:/ etc.
		//
		// Another additional benefit here is that this style also

<INSERT>, <NAME>, <HERE>, <USING>, <GITHUB>, <HANDLE>

# Release 2.20.0

## TensorFlow

### Breaking Changes

* The `tensorflow-io-gcs-filesystem` package is now optional, due its uncertain, and limited support. To install it alongside `tensorflow`, run `pip install "tensorflow[gcs-filesystem]"`.

### Major Features and Improvements

* `tf.data`

# shared object directly.
#
# For example, from Python tf.load_op_library loads a custom op library (via
# dlopen() on Linux), the library finds libtensorflow_framework.so (no
# filesystem search takes place, since libtensorflow_framework.so has already
# been loaded by pywrap_tensorflow) and registers its ops and kernels via
# REGISTER_OP and REGISTER_KERNEL_BUILDER (which use symbols from

    /**
     * Create a new file but fail if it already exists. The check for
     * existence of the file and it's creation are an atomic operation with
     * respect to other filesystem activities.
     *
     * @throws CIFSException if an error occurs creating the file
     */
    void createNewFile() throws CIFSException;

    /**

          <description>
            <![CDATA[
            FOR SYSTEM SCOPE ONLY. Note that use of this property is <b>discouraged</b>
            and may be replaced in later versions. This specifies the path on the filesystem
            for this dependency.
            Requires an absolute path for the value, not relative.
            Use a property that gives the machine specific absolute path,
            e.g. {@code ${java.home}}.

#include "absl/strings/match.h"
// Required for IS_MOBILE_PLATFORM
#include "tensorflow/core/platform/platform.h"  // NOLINT

#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
#include "tensorflow/c/experimental/filesystem/modular_filesystem.h"
#include "tensorflow/cc/framework/gradients.h"
#include "tensorflow/cc/framework/ops.h"
#include "tensorflow/cc/framework/scope_internal.h"
#include "tensorflow/cc/ops/while_loop.h"

		return errUnsupportedDisk
	}

	// We know XFS already supports O_DIRECT no need to check.
	if fsType == "XFS" {
		return nil
	}

	// For all other FS pay the price of not using our recommended filesystem.

	// Check if backend is writable and supports O_DIRECT
	uuid := mustGetUUID()
	filePath := pathJoin(s.drivePath, minioMetaTmpDeletedBucket, ".writable-check-"+uuid+".tmp")

  Kubernetes was previously detecting that the image filesystem was split, even when that was not really the case ([#128344](https://github.com/kubernetes/kubernetes/pull/128344), [@kannon92](https://github.com/kannon92)) [SIG Node]
- Fixed an issue in the kubelet that showed when writeable layers and read-only layers were at different paths within the same mount.

 * securely. Suppose you're building a webservice that checks that incoming paths are prefixed
 * "/static/images/" before serving the corresponding assets from the filesystem.
 *
 * ```java
 * String attack = "http://example.com/static/images/../../../../../etc/passwd";
 * System.out.println(new URL(attack).getPath());
 * System.out.println(new URI(attack).getPath());

Volumes (SMB 2.1 and 3.0) into a Pod. See [example](https://github.com/kubernetes/kubernetes/blob/release-1.2/examples/azure_file/README.md) for details.
  * Logs usage and root filesystem usage of a container, volumes usage of a pod and node disk usage are exposed through Kubelet new metrics API.

### Experimental Features

  * Dynamic Provisioning of PersistentVolumes: Kubernetes previously required all