scope.getFunctions(name).mapTo(this) { AvailableSymbol(it, importKind) }
            }
        }
    }

    fun findPropertiesInScopes(scopes: List<FirScope>, name: Name): List<AvailableSymbol<FirVariableSymbol<*>>> {
        return scopes.flatMap { scope ->
            val importKind = ImportKind.fromScope(scope)
            scope.getProperties(name).map {
                AvailableSymbol(it, importKind)
            }

        val paramSignatureByName = signatureOfCallee.valueParameters.associateBy {
            // We intentionally use `symbol.name` instead of `name` here, since
            // `FirValueParameter.name` is not affected by the `@ParameterName`
            it.symbol.name
        }
        val ktArgumentMapping = LinkedHashMap<KtExpression, KtVariableLikeSignature<KtValueParameterSymbol>>()

// present only in memory, it helps to generate the zip stream.
type dummyFileInfo struct {
	name    string
	size    int64
	mode    os.FileMode
	modTime time.Time
	isDir   bool
	sys     interface{}
}

func (f dummyFileInfo) Name() string       { return f.name }
func (f dummyFileInfo) Size() int64        { return f.size }
func (f dummyFileInfo) Mode() os.FileMode  { return f.mode }

build:rbe_linux_cpu --copt=-Wno-gnu-offsetof-extensions
# Python config is the same across all containers because the binary is the same
build:rbe_linux_cpu --repo_env=TF_PYTHON_CONFIG_REPO="@sigbuild-r2.17-clang_config_python"
build:rbe_linux_cpu --python_path="/usr/bin/python3"
# These you may need to change for your own GCP project.
common:rbe_linux_cpu --remote_instance_name=projects/tensorflow-testing/instances/default_instance