00000000  16 03 01 01 6e 01 00 01  6a 03 03 0f 31 f0 17 d6  |....n...j...1...|
00000010  3e ee f6 b9 14 05 57 cb  41 0b a4 6a 2f 70 9e 69  |>.....W.A..j/p.i|
00000020  09 2a eb ec 9a f4 47 61  09 43 09 20 d2 5d cf 57  |.*....Ga.C. .].W|
00000030  b8 81 3c a5 0a 77 50 0a  c3 88 79 7a dc d0 2f 8a  |..<..wP...yz../.|
00000040  08 ea 5f 53 54 a6 ff 43  d2 03 55 0e 00 04 13 01  |.._ST..C..U.....|

                    createDisposition = FILE_OPEN_IF;
                }
            } else {
                createDisposition = FILE_OPEN;
            }
        }

        if ((createOptions & 0x0001) == 0) {
            this.createOptions = createOptions | 0x0040;
        } else {
            this.createOptions = createOptions;
        }
        impersonationLevel = 0x02; // As seen on NT :~)

	return int32(r), int32(err)
}

// pollfd represents the poll structure for AIX operating system.
type pollfd struct {
	fd      int32
	events  int16
	revents int16
}

const _POLLIN = 0x0001
const _POLLOUT = 0x0002
const _POLLHUP = 0x2000
const _POLLERR = 0x4000

var (
	pfds           []pollfd
	pds            []*pollDesc
	mtxpoll        mutex
	mtxset         mutex
	rdwake         int32

# ADR-0001 - Use Architectural Decision Records

## Date

2023-12-01

## Context

In a distributed team with many subteams, the best solution to communicate decisions is to use a format accessible by everyone in charge of development.

We use *Specification* and *Discovery* documents stored in Google Drive, but they present some downsides:

}

func TestLico(t *testing.T) {
	for _, test := range []struct {
		x         lico
		string    string
		line, col uint
	}{
		{0, ":0", 0, 0},
		{makeLico(0, 0), ":0", 0, 0},
		{makeLico(0, 1), ":0:1", 0, 1},
		{makeLico(1, 0), ":1", 1, 0},
		{makeLico(1, 1), ":1:1", 1, 1},
		{makeLico(2, 3), ":2:3", 2, 3},
		{makeLico(lineMax, 1), fmt.Sprintf(":%d", lineMax), lineMax, 1},

                }
            }
            else {
                this.createDisposition = FILE_OPEN;
            }
        }

        if ( ( createOptions & 0x0001 ) == 0 ) {
            this.createOptions = createOptions | 0x0040;
        }
        else {
            this.createOptions = createOptions;
        }
        this.impersonationLevel = 0x02; // As seen on NT :~)

			requiredSum = int(requiredSumF)
		}
	}
	for rands.Float64() < 0.25 {
		// Add a class with a target of zero
		classes = append(classes, allocProblemItem{target: 0, upperBound: rands.Float64() + 0.00001})
		highSum += classes[probLen].upperBound
		if probLen > 1 {
			m := rands.Intn(probLen)
			classes[m], classes[probLen] = classes[probLen], classes[m]
		}
		probLen = len(classes)
	}

000000f0  bb 29 07 30 ff f6 84 af  c4 cf c2 ed 90 99 5f 58  |.).0.........._X|
00000100  cb 3b 74                                          |.;t|
>>> Flow 2 (server to client)
00000000  16 03 03 01 ca 02 00 01  c6 03 03 da b0 57 a0 ee  |.............W..|
00000010  bf 74 92 06 39 a6 9a 9b  80 71 7e 57 63 ab 31 74  |.t..9....q~Wc.1t|
00000020  d3 22 c1 e3 a6 c6 cf 6f  47 57 49 20 86 52 fb 0a  |.".....oGWI .R..|

  %1 = "quantfork.stats"(%arg0) {layerStats = dense<[-1.0, 1.0]> : tensor<2xf32>} : (tensor<1x3xf32>) -> tensor<1x3xf32>
  %2 = "tfl.pseudo_const"() {value = dense<[[0.1, 0.1, 0.1]]> : tensor<1x3xf32>} : () -> tensor<1x3xf32>
  %3 = "tfl.pseudo_const"() {value = dense<[0.1]> : tensor<1xf32>} : () -> tensor<1xf32>

)

// Table 30
const (
	DW_VIRTUALITY_none         = 0x00
	DW_VIRTUALITY_virtual      = 0x01
	DW_VIRTUALITY_pure_virtual = 0x02
)

// Table 31
const (
	DW_LANG_C89         = 0x0001
	DW_LANG_C           = 0x0002
	DW_LANG_Ada83       = 0x0003
	DW_LANG_C_plus_plus = 0x0004
	DW_LANG_Cobol74     = 0x0005
	DW_LANG_Cobol85     = 0x0006
	DW_LANG_Fortran77   = 0x0007
	DW_LANG_Fortran90   = 0x0008