- Fix 1.28.0 regression where adding aggregated APIService objects could cause apiserver to panic and affect the health check ([#121040](https://github.com/kubernetes/kubernetes/pull/121040), [@Jefftree](https://github.com/Jefftree)) [SIG API Machinery and Testing]

	case ARLDICRCC:
		return OPMD(30, 1, 1) // rldicr.

	case ARLDIC:
		return OPMD(30, 2, 0) // rldic
	case ARLDICCC:
		return OPMD(30, 2, 1) // rldic.

	case ASYSCALL:
		return OPVCC(17, 1, 0, 0)

	case ASLW:
		return OPVCC(31, 24, 0, 0)
	case ASLWCC:
		return OPVCC(31, 24, 0, 1)
	case ASLD:
		return OPVCC(31, 27, 0, 0)
	case ASLDCC:
		return OPVCC(31, 27, 0, 1)

	SPOP_CIVAC:   {3, 7, 14, 1, true},
	SPOP_IGVAC:   {0, 7, 6, 3, true},
	SPOP_IGSW:    {0, 7, 6, 4, true},
	SPOP_IGDVAC:  {0, 7, 6, 5, true},
	SPOP_IGDSW:   {0, 7, 6, 6, true},
	SPOP_CGSW:    {0, 7, 10, 4, true},
	SPOP_CGDSW:   {0, 7, 10, 6, true},
	SPOP_CIGSW:   {0, 7, 14, 4, true},
	SPOP_CIGDSW:  {0, 7, 14, 6, true},
	SPOP_GVA:     {3, 7, 4, 3, true},
	SPOP_GZVA:    {3, 7, 4, 4, true},

- Fix overriding logs files on reboot. (#105614, @rphillips) [SIG Node]
- Fix winkernel kube-proxy to only use dual stack when host and networking supports it (#101047, @jsturtevant) [SIG Network and Windows]
- Fix: ignore not a VMSS error for VMAS nodes in EnsureBackendPoolDeleted. (#105402, @ialidzhikov) [SIG Cloud Provider]

	}
	i = nfkcIndex[uint32(i)<<6+uint32(s[2])]
	if c0 < 0xF8 { // 4-byte UTF-8
		return t.lookupValue(uint32(i), s[3])
	}
	return 0
}

// nfkcTrie. Total size: 17104 bytes (16.70 KiB). Checksum: d985061cf5307b35.
type nfkcTrie struct{}

func newNfkcTrie(i int) *nfkcTrie {
	return &nfkcTrie{}
}

	}
	i = nfkcIndex[uint32(i)<<6+uint32(s[2])]
	if c0 < 0xF8 { // 4-byte UTF-8
		return t.lookupValue(uint32(i), s[3])
	}
	return 0
}

// nfkcTrie. Total size: 17104 bytes (16.70 KiB). Checksum: d985061cf5307b35.
type nfkcTrie struct{}

func newNfkcTrie(i int) *nfkcTrie {
	return &nfkcTrie{}
}

  %236 = "tf.Pack"(%229) {axis = 0 : i64, device = ""} : (tensor<i64>) -> tensor<1xi64>
  %237 = "tf.Pack"(%10, %104) {axis = 0 : i64, device = ""} : (tensor<i64>, tensor<i64>) -> tensor<2xi64>
  %238 = "tf.ExpandDims"(%237, %7) {device = ""} : (tensor<2xi64>, tensor<i32>) -> tensor<2x1xi64>

11000..11046  ; valid                                  # 6.0  BRAHMI SIGN CANDRABINDU..BRAHMI VIRAMA
11047..1104D  ; valid                  ;      ; NV8    # 6.0  BRAHMI DANDA..BRAHMI PUNCTUATION LOTUS
1104E..11051  ; disallowed                             # NA   <reserved-1104E>..<reserved-11051>
11052..11065  ; valid                  ;      ; NV8    # 6.0  BRAHMI NUMBER ONE..BRAHMI NUMBER ONE THOUSAND