assertFailsWith<EOFException> {
      source.buffer().readByteString(101)
    }
  }

  @Test fun blockedStreamDoesntStarveNewStream() {
    val framesThatFillWindow =
      roundUp(Settings.DEFAULT_INITIAL_WINDOW_SIZE, peer.maxOutboundDataLength())

    // Write the mocking script. This accepts more data frames than necessary!
    peer.sendFrame().settings(Settings())

	var callArgs []*ssa.Value
	var callArgTypes []*types.Type

	for _, arg := range args {
		t := arg.Type
		off = types.RoundUp(off, t.Alignment())
		size := t.Size()
		callArgs = append(callArgs, arg)
		callArgTypes = append(callArgTypes, t)
		off += size
	}
	off = types.RoundUp(off, int64(types.RegSize))

	// Issue call
	var call *ssa.Value

		// the constant pool across a cache line.
		c.pool.size = roundUp(c.pool.size, 8)
	}
	c.pool.size += uint32(sz)
	p.Pool = t
}

// roundUp rounds up x to "to".
func roundUp(x, to uint32) uint32 {
	if to == 0 || to&(to-1) != 0 {
		log.Fatalf("rounded up to a value that is not a power of 2: %d\n", to)
	}
	return (x + to - 1) &^ (to - 1)
}

	// FloatString rounds halves away from 0, and our result should always be positive,
	// so it should work as we expect. (There's no direct way to round a Rat.)
	rounded, err := strconv.ParseInt(precise.FloatString(0), 10, 64)
	if err != nil {
		panic(err)
	}

	// If we rounded up, `rounded` may be equal to 2ᵈ, so we perform a final reduction.
	return uint16(rounded % (1 << d))
}

  (TF_IdentityOp $input)>;

// Implements TF Round on floats using basic operations. TF Round is specified
// as RoundHalfToEven to be compatible with Numpy.
def LowerRoundOpOnFloatTensor : Pat<
  (TF_RoundOp:$res TF_FloatTensor:$input),
  (TF_SelectV2Op
    (TF_EqualOp
      (TF_ConstOp:$zero (GetScalarOfFloatType<"0.0"> $input)),
      (TF_SelectV2Op:$rounded
        (TF_LogicalOrOp
          (TF_GreaterOp

			rounds:   []testCase{{endpointsVersion: []mockEndpointVersion{}, expectedResult: false}},
		},
	}
	for _, tt := range tests {
		t.Run(tt.testName, func(t *testing.T) {
			var testFeatureSupportChecker = newDefaultFeatureSupportChecker()
			for _, round := range tt.rounds {
				// Mock Etcd client
				mockClient := &MockEtcdClient{EndpointVersion: round.endpointsVersion}

	// in the keccak reference code.
	var t, bc0, bc1, bc2, bc3, bc4, d0, d1, d2, d3, d4 uint64

	for i := 0; i < 24; i += 4 {
		// Combines the 5 steps in each round into 2 steps.
		// Unrolls 4 rounds per loop and spreads some steps across rounds.

		// Round 1
		bc0 = a[0] ^ a[5] ^ a[10] ^ a[15] ^ a[20]
		bc1 = a[1] ^ a[6] ^ a[11] ^ a[16] ^ a[21]
		bc2 = a[2] ^ a[7] ^ a[12] ^ a[17] ^ a[22]

int CalculateSpatialOutDim(int in, int k, int p, int s, bool ceil_mode) {
  const float effective_size = in - k + (2 * p);
  int out = RoundDim(effective_size / (float)s, ceil_mode) + 1;
  // Only possible if rounder is ceil.
  if ((out - 1) * s >= in + p) {
    out -= 1;
  }
  return out;
}

// Builds a `TorchAvgPoolData` from composite op.
TorchAvgPoolData GetTorchAvgPoolData(CompositeOp op) {

		{"0x0.9p-149", math.Float32frombits(0x000000001), Above}, // rounded up to smallest denormal
		{"0x0.ap-149", math.Float32frombits(0x000000001), Above}, // rounded up to smallest denormal
		{"0x0.bp-149", math.Float32frombits(0x000000001), Above}, // rounded up to smallest denormal
		{"0x0.cp-149", math.Float32frombits(0x000000001), Above}, // rounded up to smallest denormal

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