"Linux",
        androidHome = "/opt/android/sdk",
        jprofilerHome = "/opt/jprofiler/jprofiler11.1.4"
    ),
    WINDOWS(
        "Windows",
        androidHome = """C:\Program Files\android\sdk""",
        jprofilerHome = """C:\Program Files\jprofiler\jprofiler11.1.4""",
        perfTestWorkingDir = "P:/",
    ),
    MACOS(
        "Mac",
        androidHome = "/opt/android/sdk",

	}, model.WasmPluginTypeNetwork)
	for _, opt := range le.chains {
		chain := &listener.FilterChain{
			Metadata:        opt.metadata,
			TransportSocket: buildDownstreamTLSTransportSocket(opt.tlsContext),
		}
		if opt.httpOpts == nil {
			// we are building a network filter chain (no http connection manager) for this filter chain
			chain.Filters = opt.networkFilters
		} else {

	NetworkGateway *GatewayAddress `protobuf:"bytes,19,opt,name=network_gateway,json=networkGateway,proto3" json:"network_gateway,omitempty"`
	// Name of the node the workload runs on
	Node string `protobuf:"bytes,9,opt,name=node,proto3" json:"node,omitempty"`
	// CanonicalName for the workload. Used for telemetry.
	CanonicalName string `protobuf:"bytes,10,opt,name=canonical_name,json=canonicalName,proto3" json:"canonical_name,omitempty"`

	Add *AddWorkload `protobuf:"bytes,1,opt,name=add,proto3,oneof"`
}

type WorkloadRequest_Keep struct {
	Keep *KeepWorkload `protobuf:"bytes,5,opt,name=keep,proto3,oneof"`
}

type WorkloadRequest_Del struct {
	Del *DelWorkload `protobuf:"bytes,2,opt,name=del,proto3,oneof"`
}

type WorkloadRequest_SnapshotSent struct {
	SnapshotSent *SnapshotSent `protobuf:"bytes,3,opt,name=snapshot_sent,json=snapshotSent,proto3,oneof"`

// RUN: tf-opt %s -tf-shape-inference=input-arg-shapes=1 -verify-diagnostics -split-input-file | FileCheck %s
// RUN: not tf-opt %s -tf-shape-inference=input-arg-shapes=* 2>&1 | FileCheck --check-prefix=INPUT_ARG_SHAPES_ERROR %s
// INPUT_ARG_SHAPES_ERROR: Missing input argument shapes

module attributes {tf.versions = {bad_consumers = [], min_consumer = 0 : i32, producer = 268 : i32}} {
    // CHECK-LABEL: func.func @main

	{name: "early deadcode", fn: deadcode}, // remove generated dead code to avoid doing pointless work during opt
	{name: "short circuit", fn: shortcircuit},
	{name: "decompose user", fn: decomposeUser, required: true},
	{name: "pre-opt deadcode", fn: deadcode},
	{name: "opt", fn: opt, required: true},               // NB: some generic rules know the name of the opt pass. TODO: split required rules and optimizing rules

// embedded configs. Forcing consumers to use these defaults would be problematic
// as defaulting in the scheme is done as part of the conversion, and there would
// be no easy way to opt-out. Instead, if you want to use this defaulting method
// run it in your wrapper struct of this type in its `SetDefaults_` method.

#include "tensorflow/compiler/mlir/lite/quantization/lite/quantize_model.h"
#include "tensorflow/compiler/mlir/lite/schema/schema_generated.h"
#include "tensorflow/lite/c/c_api_types.h"

using llvm::cl::opt;

// NOLINTNEXTLINE
static opt<std::string> inputFileName(llvm::cl::Positional,
                                      llvm::cl::desc("<input file>"),
                                      llvm::cl::init("-"));

namespace mlir {

// RUN: tf-opt --tfl-legalize-tf-while %s -o - | FileCheck %s
// RUN: tf-opt --tfl-legalize-tf-while %s -o - --tfl-legalize-tf-while --inline='default-pipeline=''' | FileCheck %s --check-prefix=INLINE
// RUN: tf-opt --tfl-legalize-tf-while %s -o - --tfl-legalize-tf-while --inline | FileCheck %s --check-prefix=CANON

    Note over client,operation: Response is already sent, can't change it anymore
    opt Tasks
        operation -->> tasks: Send background tasks
    end
    opt Raise other exception
        tasks -->> dep: Raise other exception
    end
    Note over dep: After yield
    opt Handle other exception
        dep -->> dep: Handle exception, can't change response. E.g. close DB session.
    end
```