// See the License for the specific language governing permissions and
// limitations under the License.

// Package apimirror contains copies of Kubernetes APIs. This allows json serialization, without worrying about
// importing the massive 15mb+ Kubernetes API libraries.
// This is intended for import only by istio-agent. Any other binaries (Istiod) should likely import the
// upstream Kubernetes API instead.
package apimirror

import (

            throw throwVersionCatalogProblemException(getProblemsService(), getProblemsService().getInternalReporter().create(builder ->
                configureVersionCatalogError(builder, getProblemInVersionCatalog() + "importing multiple files are not supported.", TOO_MANY_IMPORT_FILES)
                    .details("The import consists of multiple files")
                    .solution("Only import a single file")));
        }

		}
	}

	return string(bytes.TrimSpace(out))
}

func TestDWARFSections(t *testing.T) {
	// test that DWARF sections are emitted for plugins and programs importing "plugin"
	globalSkip(t)
	goCmd(t, "run", "./checkdwarf/main.go", "plugin2.so", "plugin2.UnexportedNameReuse")
	goCmd(t, "run", "./checkdwarf/main.go", "./host.exe", "main.main")
}

func TestBuildID(t *testing.T) {

! stdout 'Fail'

# Test go generate for syntax errors before and after package clauses
go generate ./syntax
stdout 'Success a'
stdout 'Success b'
! stdout 'Fail'

# Test go generate for files importing non-existent packages
go generate ./importerr
stdout 'Success a'
stdout 'Success b'
stdout 'Success c'

-- echo.go --
package main

import (
	"fmt"
	"os"
	"strings"
)

func main() {

// re-using the pipeline for hoisting (VarHandle -> ReadVariable) cases, which
//  can be done by the following passes:
//  - Capturing resource values into global tensors (importing saved model).
//  - Promoting VarHandle ops to function input/outputs.
//  - Freezing global tensor pass.
//
// This path assumes that all the VariableV2 ops is read-only via verifying the

  // GraphConstructor::ConvertGraph to override shapes. It is unfortunately
  // not always set correctly (which is undesirable and should be addressed)
  // so make it opt-in to consider it unconditionally also when importing the
  // graph.
  bool unconditionally_use_set_output_shapes = false;
  // If set, use the value as the device type and mark the function graph for
  // XLA compilation.
  string xla_compile_device_type;

# ==============================================================================
"""
Top-level module of TensorFlow. By convention, we refer to this module as
`tf` instead of `tensorflow`, following the common practice of importing
TensorFlow via the command `import tensorflow as tf`.

The primary function of this module is to import all of the public TensorFlow
interfaces into a single place. The interfaces themselves are located in

// from uintptr to Pointer.
//
// Package reflect's Value methods named Pointer and UnsafeAddr return type uintptr
// instead of unsafe.Pointer to keep callers from changing the result to an arbitrary
// type without first importing "unsafe". However, this means that the result is
// fragile and must be converted to Pointer immediately after making the call,
// in the same expression:
//

    mlir::MLIRContext* context, MLIRImportOptions options);

// SavedModelMLIRImportInput is an adapter class for users to inject custom
// graph transformation logic on Tensorflow graphs before importing to MLIR. It
// serves as the source that provides the subgraphs requested by the savedmodel
// MLIR importer, and at the same time it allows the implementation of this

// to the equivalent functions in package internal/coverage/cfile; doing
// things this way allows us to have tests import internal/coverage/cfile
// only when -cover is in effect (as opposed to importing for all tests).
var (
	CoverSnapshotFunc           func() float64
	CoverProcessTestDirFunc     func(dir string, cfile string, cm string, cpkg string, w io.Writer) error
	CoverMarkProfileEmittedFunc func(val bool)
)