wantSize: 01234,
	}, {
		input: makeInput(FormatGNU, "1234",
			append(makeSparseStrings(sparseDatas{{0, 0}, {1, 1}}), []string{"", "blah"}...)...),
		wantMap:  sparseDatas{{0, 0}, {1, 1}},
		wantSize: 01234,
	}, {
		input: makeInput(FormatGNU, "3333",
			makeSparseStrings(sparseDatas{{0, 1}, {2, 1}, {4, 1}, {6, 1}})...),
		wantMap:  sparseDatas{{0, 1}, {2, 1}, {4, 1}, {6, 1}},
		wantSize: 03333,
	}, {

		var buf Buffer
		buf.WriteRune(r)
		check(t, fmt.Sprintf("TestWriteInvalidRune (%d)", r), &buf, "\uFFFD")
	}
}

func TestNext(t *testing.T) {
	b := []byte{0, 1, 2, 3, 4}
	tmp := make([]byte, 5)
	for i := 0; i <= 5; i++ {
		for j := i; j <= 5; j++ {
			for k := 0; k <= 6; k++ {
				// 0 <= i <= j <= 5; 0 <= k <= 6
				// Check that if we start with a buffer

	{abcd, "", 2, []string{"a", "bcd"}},
	{abcd, "a", -1, []string{"", "bcd"}},
	{abcd, "z", -1, []string{"abcd"}},
	{abcd, "", -1, []string{"a", "b", "c", "d"}},
	{commas, ",", -1, []string{"1", "2", "3", "4"}},
	{dots, "...", -1, []string{"1", ".2", ".3", ".4"}},
	{faces, "☹", -1, []string{"☺☻", ""}},
	{faces, "~", -1, []string{faces}},
	{faces, "", -1, []string{"☺", "☻", "☹"}},
	{"1 2 3 4", " ", 3, []string{"1", "2", "3 4"}},

<!--- reproduce this bug. Include code to reproduce, if relevant -->
<!--- and make sure you have followed https://github.com/minio/minio/tree/release/docs/debugging to capture relevant logs -->

1.
2.
3.
4.

## Context
<!--- How has this issue affected you? What are you trying to accomplish? -->
<!--- Providing context helps us come up with a solution that is most useful in the real world -->

## Regression

<code>R0.UXTB&lt;&lt;imm</code>: left shift the result of <code>R0.UXTB</code> by <code>imm</code> bits.
The <code>imm</code> value can be 0, 1, 2, 3, or 4.
The other extensions include <code>UXTH</code> (16-bit), <code>UXTW</code> (32-bit), and <code>UXTX</code> (64-bit).
</li>

<li>
<code>R0.SXTB</code>
<br>
<code>R0.SXTB&lt;&lt;imm</code>:

  const string input_name =
      signature_def.inputs().at(tensorflow::kRegressInputs).name();
  const string output_name =
      signature_def.outputs().at(tensorflow::kRegressOutputs).name();

  // Write {0, 1, 2, 3} as tensorflow::Example inputs.
  Tensor input(tensorflow::DT_STRING, TensorShape({4}));
  for (int64_t i = 0; i < input.NumElements(); ++i) {
    tensorflow::Example example;

	if prefix != 0 {
		p.errorf("prefix %c not allowed for shifted register: $%s", prefix, name)
	}
	// R1 op R2 or r1 op constant.
	// op is:
	//	"<<" == 0
	//	">>" == 1
	//	"->" == 2
	//	"@>" == 3
	r1, ok := p.registerReference(name)
	if !ok {
		return 0
	}
	var op int16
	switch p.next().ScanToken {
	case lex.LSH:
		op = 0
	case lex.RSH:
		op = 1

entirely of decimal digits (and possibly underscores) is considered a decimal
integer, even if it starts with a leading <code>0</code>.
</p>

<pre>
0i
0123i         // == 123i for backward-compatibility
0o123i        // == 0o123 * 1i == 83i
0xabci        // == 0xabc * 1i == 2748i
0.i
2.71828i
1.e+0i
6.67428e-11i
1E6i
.25i
.12345E+5i

:= NewNat().SetBytes(xBytes, m) if err != nil { return false } return got.Equal(natFromBytes(xBytes).ExpandFor(m)) == yes } err := quick.Check(f, &quick.Config{}) if err != nil { t.Error(err) } } func TestExpand(t *testing.T) { sliced := []uint{1, 2, 3, 4} examples := []struct { in []uint n int out []uint }{{ []uint{1, 2}, 4, []uint{1, 2, 0, 0}, }, { sliced[:2], 4, []uint{1, 2, 0, 0}, }, { []uint{1, 2}, 2, []uint{1, 2}, }} for i, tt := range examples { got := (&Nat{tt.in}).expand(tt.n) if len(got.limbs)...