// subset of CP-437, which itself is ASCII-like.
		//
		// Forbid 0x7e and 0x5c since EUC-KR and Shift-JIS replace those
		// characters with localized currency and overline characters.
		if r < 0x20 || r > 0x7d || r == 0x5c {
			if !utf8.ValidRune(r) || (r == utf8.RuneError && size == 1) {
				return false, false
			}
			require = true
		}
	}
	return true, require
}

	buf := NewBuffer(make([]byte, 10))
	n := buf.Cap()
	if n != 10 {
		t.Errorf("expected 10, got %d", n)
	}
}

func TestCapWithSliceAndWrittenData(t *testing.T) {
	buf := NewBuffer(make([]byte, 0, 10))
	buf.Write([]byte("test"))
	n := buf.Cap()
	if n != 10 {
		t.Errorf("expected 10, got %d", n)
	}
}

func TestNil(t *testing.T) {
	var b *Buffer
	if b.String() != "<nil>" {

.12345E+5
1_5.         // == 15.0
0.15e+0_2    // == 15.0

0x1p-2       // == 0.25
0x2.p10      // == 2048.0
0x1.Fp+0     // == 1.9375
0X.8p-0      // == 0.5
0X_1FFFP-16  // == 0.1249847412109375
0x15e-2      // == 0x15e - 2 (integer subtraction)

0x.p1        // invalid: mantissa has no digits
1p-2         // invalid: p exponent requires hexadecimal mantissa
0x1.5e-2     // invalid: hexadecimal mantissa requires p exponent

	r13 := new(rot13Reader)
	r13.r = r
	return r13
}

func (r13 *rot13Reader) Read(p []byte) (int, error) {
	n, err := r13.r.Read(p)
	for i := 0; i < n; i++ {
		c := p[i] | 0x20 // lowercase byte
		if 'a' <= c && c <= 'm' {
			p[i] += 13
		} else if 'n' <= c && c <= 'z' {
			p[i] -= 13
		}
	}
	return n, err
}

// Call ReadByte to accumulate the text of a file

    auto m = TF_OperationGetAttrMetadata(oper, attr_name, s_);       \
    EXPECT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);              \
    const unsigned char e = expected_list_size >= 0 ? 1 : 0;         \
    EXPECT_EQ(e, m.is_list);                                         \
    EXPECT_EQ(expected_list_size, m.list_size);                      \
    EXPECT_EQ(expected_type, m.type);                                \

Yuming Wang, Zafar Takhirov, @zhongyuk, Ziming Dong, @guotong1988

We are also grateful to all who filed issues or helped resolve them, asked and
answered questions, and were part of inspiring discussions.

# Release 0.11.0

## Major Features and Improvements

*   CUDA 8 support.
*   cuDNN 5 support.
*   HDFS Support.
*   Adds Fused LSTM support via cuDNN 5 in `tensorflow/contrib/cudnn_rnn`.