// [io.ByteScanner], and [io.RuneScanner] interfaces by reading from
// a byte slice.
// Unlike a [Buffer], a Reader is read-only and supports seeking.
// The zero value for Reader operates like a Reader of an empty slice.
type Reader struct {
	s        []byte
	i        int64 // current reading index
	prevRune int   // index of previous rune; or < 0
}

COPY ./app /app/app
```

### Raspberry Pi et autres architectures

Si vous utilisez Docker sur un Raspberry Pi (qui a un processeur ARM) ou toute autre architecture, vous pouvez créer un `Dockerfile` à partir de zéro, basé sur une image de base Python (qui est multi-architecture) et utiliser Uvicorn seul.

Dans ce cas, votre `Dockerfile` pourrait ressembler à ceci :

```Dockerfile
FROM python:3.7

RUN pip install fastapi uvicorn

func (b BatchJobSnowball) Validate() error {
	if *b.Batch <= 0 {
		return BatchJobYamlErr{
			line: b.line,
			col:  b.col,
			msg:  "batch number should be non positive zero",
		}
	}
	_, err := humanize.ParseBytes(*b.SmallerThan)
	if err != nil {
		return BatchJobYamlErr{
			line: b.line,
			col:  b.col,
			msg:  err.Error(),
		}
	}
	return nil
}

	}

	if len(labels)/2 != len(validLabels) {
		panic("not all labels were given values")
	}

	v, ok := m.values[name]
	if !ok {
		v = make([]metricValue, 0, 1)
	}
	// If valid non zero value set the metrics
	if value > 0 {
		m.values[name] = append(v, metricValue{
			Labels: labelMap,
			Value:  value,
		})
	}
}

				ModTime:  time.Unix(1314603082, 0),
			}, nil},
			testWrite{"", 0, nil},

			testClose{nil},
		},
	}, {
		// The truncated test file was produced using these commands:
		//   dd if=/dev/zero bs=1048576 count=16384 > /tmp/16gig.txt
		//   tar -b 1 -c -f- /tmp/16gig.txt | dd bs=512 count=8 > writer-big.tar
		file: "testdata/writer-big.tar",
		tests: []testFnc{
			testHeader{Header{
				Typeflag: TypeReg,

		if result.Statement.Schema.PrioritizedPrimaryField == nil {
			tx.AddError(ErrPrimaryKeyRequired)
			break
		}

		primaryValue, zero := result.Statement.Schema.PrioritizedPrimaryField.ValueOf(tx.Statement.Context, resultsValue.Index(resultsValue.Len()-1))
		if zero {
			tx.AddError(ErrPrimaryKeyRequired)
			break
		}

	//	}
	NOP	F2

	//	LNOP imm
	//	{
	//		outcode(int($1), &$2, 0, &nullgen);
	//	}
	NOP	$4

	//
	// special
	//
	SYSCALL
	BREAK
	SYNC

	//
	// conditional move on zero/nonzero gp value
	//
	CMOVN	R1, R2, R3
	CMOVZ	R1, R2, R3

	//
	// conditional move on fp false/true
	//
	CMOVF	R1, R2
	CMOVT	R1, R2

	//
	// conditional traps
	//

				destValue := reflect.ValueOf(stmt.Dest)
				for destValue.Kind() == reflect.Ptr {
					destValue = destValue.Elem()
				}

				changedValue, zero := field.ValueOf(stmt.Context, destValue)
				if v {
					return !utils.AssertEqual(changedValue, fieldValue)
				}
				return !zero && !utils.AssertEqual(changedValue, fieldValue)
			}
		}
		return false
	}

	if len(fields) == 0 {

                  const char* name, TF_Operation** op) {
  TF_Operation* zero = ScalarConst(
      0, graph, s, ::tensorflow::strings::StrCat(name, "_const0").c_str());
  TF_OperationDescription* desc = TF_NewOperation(graph, "Split", name);
  TF_AddInput(desc, {zero, 0});
  TF_AddInput(desc, {input, 0});
  TF_SetAttrInt(desc, "num_split", 3);
  TF_SetAttrType(desc, "T", TF_INT32);

		// to explicitly say that the ContentLength is zero is
		// to set the Body to nil. But turns out too much code
		// depends on NewRequest returning a non-nil Body,
		// so we use a well-known ReadCloser variable instead
		// and have the http package also treat that sentinel
		// variable to mean explicitly zero.
		if req.GetBody != nil && req.ContentLength == 0 {
			req.Body = http.NoBody