// applied to a Go struct, but now a Module struct:
//
//	type Module struct {
//	    Path       string        // module path
//	    Query      string        // version query corresponding to this version
//	    Version    string        // module version
//	    Versions   []string      // available module versions
//	    Replace    *Module       // replaced by this module

		if visited[p1] {
			continue
		}
		visited[p1] = true
		if p1.Module != nil {
			m := module.Version{Path: p1.Module.Path, Version: p1.Module.Version}
			if p1.Module.Path != main.Path && mdeps[m] == nil {
				mdeps[m] = debugModFromModinfo(p1.Module)
			}
		}
		q = append(q, p1.Internal.Imports...)
	}
	sortedMods := make([]module.Version, 0, len(mdeps))
	for mod := range mdeps {

	if cfg.BuildTrimpath {
		// When -trimpath is used with a package built from the module cache,
		// its debug information refers to the module path and version
		// instead of the directory.
		if p.Module != nil {
			fmt.Fprintf(h, "module %s@%s\n", p.Module.Path, p.Module.Version)
		}
	} else if p.Goroot {
		// The Go compiler always hides the exact value of $GOROOT

def XlaCallModuleSerializationPass
    : Pass<"tf-xla-call-module-serialization", "ModuleOp"> {
  let summary = "Serializes StableHLO functions from top-level module into `tf.XlaCallModule`'s `module` attribute";

  let description = [{
    This pass collects StableHLO functions referenced from `tf.XlaCallModule`'s
    `_entry_function` attribute into a module, serializes the module into MLIR

        given:
        mavenRepo.module("org", "leaf1").publish()
        mavenRepo.module("org", "leaf2").publish()
        mavenRepo.module("org", "leaf2", "1.5").publish()
        mavenRepo.module("org", "leaf2", "2.5").publish()
        mavenRepo.module("org", "leaf3").publish()
        mavenRepo.module("org", "leaf4").publish()

        mavenRepo.module("org", "middle1").dependsOnModules('leaf1', 'leaf2').publish()

  """Test cases regarding the use of QuantizationOptions proto.

  Run all tests cases in both the graph mode (default in TF1) and the eager mode
  (default in TF2) to ensure support for when TF2 is disabled.
  """

  class SimpleModel(module.Module):

    def __init__(self):
      self.filters = np.random.uniform(low=-1.0, high=1.0, size=(4, 3)).astype(
          'f4'
      )

            "spanNulls": false,
            "stacking": {
              "group": "A",
              "mode": "none"
            },
            "thresholdsStyle": {
              "mode": "off"
            }
          },
          "mappings": [],
          "thresholds": {
            "mode": "absolute",
            "steps": [
              {
                "color": "green",

ear"},"showPoints":"never","spanNulls":false,"stacking":{"group":"A","mode":"none"},"thresholdsStyle":{"mode":"off"}},"mappings":[],"thresholds":{"mode":"absolute","steps":[{"color":"green","value":null},{"color":"red","value":80}]},"unit":"short"},"overrides":[]},"gridPos":{"h":8,"w":12,"x":0,"y":8},"id":4,"links":[],"options":{"legend":{"calcs":[],"displayMode":"list","placement":"bottom","showLegend":true},"tooltip":{"mode":"multi","sort":"none"}},"pluginVersion":"10.1.5","targets":[{"datasou...

            "spanNulls": false,
            "stacking": {
              "group": "A",
              "mode": "none"
            },
            "thresholdsStyle": {
              "mode": "off"
            }
          },
          "mappings": [],
          "thresholds": {
            "mode": "absolute",
            "steps": [
              {
                "color": "green",

      const GraphImportConfig& specs, mlir::ModuleOp module,
      std::unordered_map<std::string, std::string>* tf_name_to_mlir_name,
      NameUniquifier* function_name_uniquifier,
      llvm::StringRef function_name_for_debug_info = "")
      : builder_(module.getContext()),
        module_(module),
        context_(module.getContext()),
        tf_name_to_mlir_name_(tf_name_to_mlir_name),