* allow restricting subresource access ([#30001](https://github.com/kubernetes/kubernetes/pull/30001), [@deads2k](https://github.com/deads2k))
* Fix PVC.Status.Capacity and AccessModes after binding ([#29982](https://github.com/kubernetes/kubernetes/pull/29982), [@jsafrane](https://github.com/jsafrane))

    visibility = ["//visibility:public"],
)

# The interface library (tensorflow.dll.if.lib) for linking tensorflow DLL library (tensorflow.dll) on Windows.
# To learn more about import library (called interface library in Bazel):
#     https://docs.microsoft.com/en-us/cpp/build/linking-an-executable-to-a-dll?view=vs-2017#linking-implicitly
filegroup(
    name = "get_tensorflow_dll_import_lib",

    ```

 *  Fix: Don't miss cancels when sending HTTP/2 request headers.
 *  Fix: Don't miss whole operation timeouts when calls redirect.
 *  Fix: Don't leak connections if web sockets have malformed responses or if `onOpen()` throws.
 *  Fix: Don't retry when request bodies fail due to `FileNotFoundException`.
 *  Fix: Don't crash when URLs have IPv4-mapped IPv6 addresses.
 *  Fix: Don't crash when building `HandshakeCertificates` on Android API 28.

   * building caches whose key or value types are incompatible with the types accepted by the
   * weigher already provided; the {@code CacheBuilder} type cannot do this. For best results,
   * simply use the standard method-chaining idiom, as illustrated in the documentation at top,
   * configuring a {@code CacheBuilder} and building your {@link Cache} all in a single statement.
   *

build:cuda --@local_config_cuda//cuda:include_cuda_libs=true

# This configuration is used for building the wheels.
build:cuda_wheel --@local_config_cuda//cuda:include_cuda_libs=false

# CUDA: This config refers to building CUDA op kernels with clang.
build:cuda_clang --config=cuda
build:cuda_clang --@local_config_cuda//:cuda_compiler=clang
build:cuda_clang --copt=-Qunused-arguments

// https://www.tensorflow.org/code/tensorflow/core/framework/api_def.proto)
//
// The ApiDef messages are typically used to generate convenience wrapper
// functions for TensorFlow operations in various language bindings.
typedef struct TF_ApiDefMap TF_ApiDefMap;

// Creates a new TF_ApiDefMap instance.
//
// Params:
//  op_list_buffer - TF_Buffer instance containing serialized OpList
//    protocol buffer. (See

	if len(results2) != 0 {
		t.Errorf("Search all records with inline map containing null value finding 0 records")
	}

	DB.Find(&results2, map[string]interface{}{"name": users[0].Name, "company_id": nil})
	if len(results2) != 1 {
		t.Errorf("Search all records with inline map containing null value finding 1 record")
	}

 * redundancy for such URLs.
 *
 * Because they don't attempt canonical form, these classes are surprisingly difficult to use
 * 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

 *
 * <p>For up-to-date Unicode character properties (digit, letter, etc.) and support for
 * supplementary code points, use ICU4J UCharacter and UnicodeSet (freeze() after building). For
 * basic text processing based on UnicodeSet use the ICU4J UnicodeSetSpanner.
 *
 * <p>Example usages:
 *
 * <pre>
 *   String trimmed = {@link #whitespace() whitespace()}.{@link #trimFrom trimFrom}(userInput);

}

// return URL for a listing pending multipart uploads.
func getListMultipartURL(endPoint, bucketName string) string {
	queryValue := url.Values{}
	queryValue.Set("uploads", "")
	return makeTestTargetURL(endPoint, bucketName, "", queryValue)
}

// return URL for listing pending multipart uploads with parameters.