# enable an increasing amount of checks:
# - golangci.yaml is the most permissive configuration. All existing code
#   passed.
# - golangci-strict.yaml adds checks that all new code in pull requests
#   must pass.
# - golangci-hints.yaml adds checks for code patterns where developer
#   and reviewer may decide whether findings should get addressed before

lint-licenses:
	@if test -d licenses; then license-lint --config common/config/license-lint.yml; fi

lint-all: lint-dockerfiles lint-scripts lint-yaml lint-helm lint-copyright-banner lint-go lint-python lint-markdown lint-sass lint-typescript lint-licenses

tidy-go:
	@find -name go.mod -execdir go mod tidy \;

mod-download-go:
	@-GOFLAGS="-mod=readonly" find -name go.mod -execdir go mod download \;

	v T
}

type S1 struct {
	E[int]
	v string
}

type Eint = E[int]
type Ebool = E[bool]
type Eint2 = Eint

type S2 struct {
	Eint
	Ebool
	v string
}

type S3 struct {
	*E[int]
}

func main() {
	s1 := S1{Eint{2}, "foo"}
	if got, want := s1.E.v, 2; got != want {
		panic(fmt.Sprintf("got %d, want %d", got, want))
	}
	s2 := S2{Eint{3}, Ebool{true}, "foo"}

) -> Any: ...  # Status

# LINT.ThenChange()

# LINT.IfChange(quantize_weight_only)
def quantize_weight_only(
    src_saved_model_path: str,
    dst_saved_model_path: str,
    quantization_options_serialized: bytes,
    *,
    signature_def_map_serialized: dict[str, bytes],
    py_function_library: py_function_lib.PyFunctionLibrary,
) -> Any: ...  # Status

# LINT.ThenChange()

from tensorflow.compiler.mlir.quantization.tensorflow.calibrator import calibration_statistics_pb2

# LINT.IfChange(clear_calibrator)
def clear_calibrator() -> None: ...

# LINT.ThenChange()

# LINT.IfChange(clear_data_from_calibrator)
def clear_data_from_calibrator(id: bytes) -> None: ...

# LINT.ThenChange()

# LINT.IfChange(get_statistics_from_calibrator)
def get_statistics_from_calibrator(
    id: bytes,

    py_function_library: py_function_lib.PyFunctionLibrary,
) -> Any: ...  # Status

# LINT.ThenChange()

# LINT.IfChange(populate_default_configs)
def populate_default_configs(
    user_provided_quantization_config_serialized: bytes,
) -> bytes: ...  # QuantizationConfig

# LINT.ThenChange()

# LINT.IfChange(expand_preset_configs)
def expand_preset_configs(
    quantization_config_serialized: bytes,

				filtered = append(filtered, hint)
			}
			if hint.NUMANodeAffinity != nil && hint.NUMANodeAffinity.Count() == 1 && hint.Preferred {
				filtered = append(filtered, hint)
			}
		}
		filteredResourcesHints = append(filteredResourcesHints, filtered)
	}
	return filteredResourcesHints
}

func (p *singleNumaNodePolicy) Merge(providersHints []map[string][]TopologyHint) (TopologyHint, bool) {

)

type fakeManager struct {
	hint   *TopologyHint
	policy Policy
}

// NewFakeManager returns an instance of FakeManager
func NewFakeManager() Manager {
	klog.InfoS("NewFakeManager")
	return &fakeManager{}
}

// NewFakeManagerWithHint returns an instance of fake topology manager with specified topology hints
func NewFakeManagerWithHint(hint *TopologyHint) Manager {
	klog.InfoS("NewFakeManagerWithHint")

	// Add action message
	if uiErr.action != "" {
		renderedTxt += "> " + color.BgYellow(color.Black(uiErr.action)) + "\n"
	}
	// Add hint
	if uiErr.hint != "" {
		renderedTxt += color.Bold("HINT:") + "\n"
		renderedTxt += "  " + uiErr.hint
	}
	return renderedTxt

    private static final String HINT = 'must be positive'
    private static final String GRADLE_PROPERTY = 'org.gradle.property'
    private static final String OPTION = 'option'

    def "can handle invalid value for Gradle property with empty #hint"() {
        when:
        Origin.forGradleProperty(GRADLE_PROPERTY).handleInvalidValue(VALUE, hint)

        then: