i++ { table[i].montgomeryMul(table[i-1], table[0], m) } out.resetFor(m) out.limbs[0] = 1 out.montgomeryRepresenta(m) tmp := NewNat().ExpandFor(m) for _, b := range e { for _, j := range []int{4, 0} { // Square four times. Optimization note: this can be implemented // more efficiently than with generic Montgomery multiplication. out.montgomeryMul(out, out, m) out.montgomeryMul(out, out, m) out.montgomeryMul(out, out, m) out.montgomeryMul(out, out, m) // Select x^k in constant time from the table. k :=...

ret=$?
if [ $ret -ne 0 ]; then
	echo "BUG: expected no missing entries after decommission: $out1"
	exit 1
fi

out1=$(diff -qpruN expanded_ns_versions_1.txt decommissioned_ns_versions_1.txt)
ret=$?
if [ $ret -ne 0 ]; then
	echo "BUG: expected no missing entries after decommission: $out1"
	exit 1
fi

        SmbPipeInputStream in2 = handle.getInput();
        SmbPipeOutputStream out1 = handle.getOutput();
        SmbPipeOutputStream out2 = handle.getOutput();

        // Assert: same instances are returned subsequently
        assertSame(in1, in2, "Input stream should be cached");
        assertSame(out1, out2, "Output stream should be cached");

        // Close and verify subsequent calls throw

    for (int i = 0; i < expected_results.size(); ++i) {
      TF_Tensor* out = csession.output_tensor(i);
      ASSERT_TRUE(out != nullptr);
      EXPECT_EQ(TF_INT32, TF_TensorType(out));
      EXPECT_EQ(0, TF_NumDims(out));  // scalar
      ASSERT_EQ(sizeof(int32_t), TF_TensorByteSize(out));
      int32_t* output_contents = static_cast<int32_t*>(TF_TensorData(out));
      EXPECT_EQ(expected_results[i], *output_contents);
    }
  }

    peer.play()

    // Play it back.
    val connection = connect(peer)
    val stream1 = connection.newStream(headerEntries("a", "apple"), true)
    val out1 = stream1.sink.buffer()
    out1.write(ByteArray(Settings.DEFAULT_INITIAL_WINDOW_SIZE))
    out1.flush()

    // Check that we've filled the window for both the stream and also the connection.
    assertThat(connection.writeBytesTotal)

func TestEqualFold(t *testing.T) {
	for _, tt := range EqualFoldTests {
		if out := EqualFold([]byte(tt.s), []byte(tt.t)); out != tt.out {
			t.Errorf("EqualFold(%#q, %#q) = %v, want %v", tt.s, tt.t, out, tt.out)
		}
		if out := EqualFold([]byte(tt.t), []byte(tt.s)); out != tt.out {
			t.Errorf("EqualFold(%#q, %#q) = %v, want %v", tt.t, tt.s, out, tt.out)
		}
	}
}

var cutTests = []struct {
	s, sep        string

  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

  TF_Tensor* out = csession.output_tensor(0);
  ASSERT_TRUE(out != nullptr);
  EXPECT_EQ(TF_FLOAT, TF_TensorType(out));
  EXPECT_EQ(2, TF_NumDims(out));
  EXPECT_EQ(4, TF_Dim(out, 0));
  EXPECT_EQ(1, TF_Dim(out, 1));
  float* values = static_cast<float*>(TF_TensorData(out));
  // These values are defined to be (input / 2) + 2.
  EXPECT_EQ(2, values[0]);

	Key      []byte
	KmsCtx   kms.Context
	Checksum *hash.Checksum
	MD5Hex   string
}

// fanOutPutObject takes an input source reader and fans out multiple PUT operations
// based on the incoming fan-out request, a context cancellation by the caller
// would ensure all fan-out operations are canceled.

        byte[] data8 = NtlmUtil.S8;
        byte[] out14 = new byte[16];
        byte[] out7 = new byte[8];

        // Act
        NtlmUtil.E(key14, data8, out14);
        NtlmUtil.E(key7, data8, out7);

        // Assert: first block identical to single-chunk encryption
        assertArrayEquals(Arrays.copyOfRange(out14, 0, 8), out7);
        // And second block is present and not all zeros

    }),
    out = "__init__.py",
)

genrule(
    name = "virtual_root_init_gen",
    srcs = select({
        "api_version_2": [":virtual_root_template_v2.__init__.py"],
        "//conditions:default": [":virtual_root_template_v1.__init__.py"],
    }),
    outs = ["virtual_root.__init__.py"],
    cmd = "cp $(SRCS) $(OUTS)",
)

generate_apis(