"min-height","max-height","inline-size","min-inline-size","max-inline-size","block-size","min-block-size","max-block-size","grid","grid-template","grid-template-rows","grid-template-columns","grid-auto-columns","grid-auto-rows"],feature:"intrinsic-width",browsers:["firefox 114"]},"fit-content":{props:["width","min-width","max-width","height","min-height","max-height","inline-size","min-inline-size","max-inline-size","block-size","min-block-size","max-block-size","grid","grid-template","grid-temp...

	// match: (MOVHZreg x:(MOVBZload _ _))
	// cond: (!x.Type.IsSigned() || x.Type.Size() > 1)
	// result: x
	for {
		x := v_0
		if x.Op != OpS390XMOVBZload || !(!x.Type.IsSigned() || x.Type.Size() > 1) {
			break
		}
		v.copyOf(x)
		return true
	}
	// match: (MOVHZreg x:(MOVHZload _ _))
	// cond: (!x.Type.IsSigned() || x.Type.Size() > 2)
	// result: x
	for {
		x := v_0

                              rule: self.filter(f, f.type == 'RequestHeaderModifier').size()
                                <= 1
                            - message: ResponseHeaderModifier filter cannot be repeated
                              rule: self.filter(f, f.type == 'ResponseHeaderModifier').size()
                                <= 1

	Blksize          uint32
	Attributes       uint64
	Nlink            uint32
	Uid              uint32
	Gid              uint32
	Mode             uint16
	_                [1]uint16
	Ino              uint64
	Size             uint64
	Blocks           uint64
	Attributes_mask  uint64
	Atime            StatxTimestamp
	Btime            StatxTimestamp
	Ctime            StatxTimestamp
	Mtime            StatxTimestamp

  %0 = "tf.Const"() {value = dense<"Unable to broadcast: dimension size mismatch in dimension"> : tensor<!tf_type.string>} : () -> tensor<!tf_type.string>
  %1 = "tf.Const"() {value = dense<0> : tensor<i32>} : () -> tensor<i32>

make(T, n)       channel      buffered channel of type T, buffer size n
</pre>

<p>
Each of the size arguments <code>n</code> and <code>m</code> must be of <a href="#Numeric_types">integer type</a>,
have a <a href="#Interface_types">type set</a> containing only integer types,
or be an untyped <a href="#Constants">constant</a>.
A constant size argument must be non-negative and <a href="#Representability">representable</a>

                  map.  This map must be large enough to hold an entry for each active
                  connection.  Warning: changing the size of the conntrack map can
                  cause disruption.'
                type: integer
              bpfMapSizeIPSets:
                description: BPFMapSizeIPSets sets the size for ipsets map.  The IP

* The following deprecated flags were removed from `kube-controller-manager`:

  * `replication-controller-lookup-cache-size`
  * `replicaset-lookup-cache-size`
  * `daemonset-lookup-cache-size`

  Don't use these flags. Using deprecated flags causes the server to print a warning. Using a removed flag causes the server to abort the startup.

	// cond: t.Size() == 4 && t.IsFloat()
	// result: (FMOVSstore ptr val mem)
	for {
		t := auxToType(v.Aux)
		ptr := v_0
		val := v_1
		mem := v_2
		if !(t.Size() == 4 && t.IsFloat()) {
			break
		}
		v.reset(OpPPC64FMOVSstore)
		v.AddArg3(ptr, val, mem)
		return true
	}
	// match: (Store {t} ptr val mem)
	// cond: t.Size() == 8 && !t.IsFloat()

// CHECK-DAG:       %[[START:.*]] = "tf.Const"() <{value = dense<[0, 0, 5, 0]> : tensor<4xi64>}> : () -> tensor<4xi64>
// CHECK-DAG:       %[[SIZE:.*]] = "tf.Const"() <{value = dense<[128, 5, 4, 64]> : tensor<4xi64>}> : () -> tensor<4xi64>
// CHECK:           %[[SLICED_ARG0:.*]] = "tf.Slice"(%[[ARG0]], %[[START]], %[[SIZE]])
// CHECK-SAME:      (tensor<128x7x9x64xf32>, tensor<4xi64>, tensor<4xi64>) -> tensor<128x5x4x64xf32>