}

		// NOTE: if not using LDAP, then internal IDP or open ID is
		// being used - in the former, group info is enforced when
		// generated credentials are used to make requests, and in the
		// latter, a group notion is not supported.
	}

	newCred, updatedAt, err := globalIAMSys.NewServiceAccount(ctx, targetUser, targetGroups, opts)
	if err != nil {
		writeErrorResponseJSON(ctx, w, toAdminAPIErr(ctx, err), r.URL)
		return

		return true
	}
	return false
}

// flagConstant represents the result of a compile-time comparison.
// The sense of these flags does not necessarily represent the hardware's notion
// of a flags register - these are just a compile-time construct.
// We happen to match the semantics to those of arm/arm64.
// Note that these semantics differ from x86: the carry flag has the opposite

            "default": "",
            "description": "Represents a key's relationship to a set of values. Valid operators are In, NotIn, Exists, DoesNotExist. Gt, and Lt.",
            "type": "string"
          },
          "values": {

          "ihsamay?rawatiju?t&away?ik???e&ba&nat!oyk??ya??di?ni??i&ju?kazamayo?manim??natnan?o&gnatoyk?kum?mak?rihsamayimanim?y&gakan?ka&koagan?s??oj???u&ruziam?z&ayim?ik??????wtc1--nx?ykot!.&a&d&i&hcam?mus??oyihc??k&atim?ihsustak??m&a&t!uko??yarumihsa&gih?sum???i&hs&agoa?ika?o!t??uzuok??ren???r&a&honih?wasago??iadok?umah??ssuf?t&ik?o??w...

          "ihsamay?rawatiju?t&away?ik???e&ba&nat!oyk??ya??di?ni??i&ju?kazamayo?manim??natnan?o&gnatoyk?kum?mak?rihsamayimanim?y&gakan?ka&koagan?s??oj???u&ruziam?z&ayim?ik??????wtc1--nx?ykot!.&a&d&i&hcam?mus??oyihc??k&atim?ihsustak??m&a&t!uko??yarumihsa&gih?sum???i&hs&agoa?ika?o!t??uzuok??ren???r&a&honih?wasago??iadok?umah??ssuf?t&ik?o??w...

  let summary = "Fusion optimization for GPU targets";
  let description = [{
    This pass is performing fusion specific to GPU targets. This is an ad-hoc
    pass for now, but should be integrated with some notion of "target" in the
    MLIR pipeline in the future.
  }];
  let constructor = "TF::CreateGpuOpFusionPass()";
}

def BatchMatMulToEinsumPass : Pass<"tf-batch-matmul-to-tf-einsum", "mlir::func::FuncOp"> {

### `-tf-gpu-op-fusion`

_Fusion optimization for GPU targets_

This pass is performing fusion specific to GPU targets. This is an ad-hoc
pass for now, but should be integrated with some notion of "target" in the
MLIR pipeline in the future.
### `-tf-group-by-dialect`

_Groups ops into functions that only contain one dialect._

Factors operations into subroutines such that all functions only

	if parent, ok := jniTypes[dt.Name]; ok {
		// Try to make sure we're talking about a JNI type, not just some random user's
		// type that happens to use the same name.
		// C doesn't have the notion of a package, so it's hard to be certain.

		// Walk up to jobject, checking each typedef on the way.
		w := dt
		for parent != "" {
			t, ok := w.Type.(*dwarf.TypedefType)
			if !ok || t.Name != parent {

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            "description": "operator represents a key's relationship to a set of values. Valid operators are In, NotIn, Exists and DoesNotExist.",
            "type": "string"
          },
          "values": {