# Experimental posix filesystem plugin.
load("//tensorflow:tensorflow.bzl", "tf_cc_shared_object")
load("//tensorflow/core/platform:rules_cc.bzl", "cc_library")

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    default_visibility = ["//visibility:private"],
    licenses = ["notice"],
)

# Filesystem implementation for POSIX environments: Linux, MacOS, Android, etc.
tf_cc_shared_object(

import org.jetbrains.kotlin.descriptors.ValueParameterDescriptor
import org.jetbrains.kotlin.fileClasses.javaFileFacadeFqName
import org.jetbrains.kotlin.load.java.lazy.descriptors.LazyJavaPackageFragment
import org.jetbrains.kotlin.load.kotlin.*
import org.jetbrains.kotlin.name.FqName
import org.jetbrains.kotlin.platform.TargetPlatform
import org.jetbrains.kotlin.platform.has

# Experimental windows filesystem plugin.
load("//tensorflow:tensorflow.bzl", "get_win_copts", "tf_cc_shared_object")
load("//tensorflow/core/platform:rules_cc.bzl", "cc_library")

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    licenses = ["notice"],
)

# Filesystem implementation for Windows environment
tf_cc_shared_object(
    name = "windows_filesystem.dll",
    framework_so = [],

As this component would take the **load** of requests and distribute that among the workers in a (hopefully) **balanced** way, it is also commonly called a **Load Balancer**.

!!! tip
    The same **TLS Termination Proxy** component used for HTTPS would probably also be a **Load Balancer**.

### Ein Load Balancer – mehrere Workercontainer

import org.jetbrains.kotlin.analysis.api.symbols.KtNamedClassOrObjectSymbol
import org.jetbrains.kotlin.analysis.api.symbols.KtSymbolProviderByJavaPsi
import org.jetbrains.kotlin.asJava.KtLightClassMarker
import org.jetbrains.kotlin.load.java.JvmAnnotationNames
import org.jetbrains.kotlin.name.Name

@OptIn(KtAnalysisApiInternals::class)
internal class KtFirSymbolProviderByJavaPsi(
    override val analysisSession: KtFirAnalysisSession,

# Experimental gcs filesystem plugin.
load("//tensorflow:tensorflow.bzl", "get_win_copts", "tf_cc_shared_object", "tf_cc_test")
load("//tensorflow/core/platform:rules_cc.bzl", "cc_library")

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    licenses = ["notice"],
)

# Filesystem implementation for GCS environments
tf_cc_shared_object(
    name = "gcs_filesystem",
    framework_so = [],

  repeated Ingress items = 2;
}

// IngressLoadBalancerIngress represents the status of a load-balancer ingress point.
message IngressLoadBalancerIngress {
  // ip is set for load-balancer ingress points that are IP based.
  // +optional
  optional string ip = 1;

  // hostname is set for load-balancer ingress points that are DNS based.
  // +optional
  optional string hostname = 2;

pkg debug/macho, const ARM64_RELOC_BRANCH26 RelocTypeARM64
pkg debug/macho, const ARM64_RELOC_GOT_LOAD_PAGE21 = 5
pkg debug/macho, const ARM64_RELOC_GOT_LOAD_PAGE21 RelocTypeARM64
pkg debug/macho, const ARM64_RELOC_GOT_LOAD_PAGEOFF12 = 6
pkg debug/macho, const ARM64_RELOC_GOT_LOAD_PAGEOFF12 RelocTypeARM64
pkg debug/macho, const ARM64_RELOC_PAGE21 = 3
pkg debug/macho, const ARM64_RELOC_PAGE21 RelocTypeARM64

#    file-name - an exact leaf filename, regardless of path
#    path-prefix - a prefix match on the file path
#    file-prefix - a prefix match of the leaf filename (no path)
#    paths-from-repo - read a file from the repo and load file paths
#

file-prefix	zz_generated.

file-name	types.generated.go
file-name	generated.pb.go
file-name	generated.proto
file-name	types_swagger_doc_generated.go

path-prefix	vendor/