// Unary
	{"-0", 0, true},
	{"~0", -1, true},
	{"~0*0", 0, true},
	{"+3", 3, true},
	{"-3", -3, true},
	{"-9223372036854775808", -9223372036854775808, true}, // min int64
	// Binary
	{"3+4", 3 + 4, true},
	{"3-4", 3 - 4, true},
	{"2|5", 2 | 5, true},
	{"3^4", 3 ^ 4, true},
	{"3*4", 3 * 4, true},
	{"14/4", 14 / 4, true},
	{"3<<4", 3 << 4, true},
	{"48>>3", 48 >> 3, true},

        final int bufferNdx = (int) (count % BLOCK_LENGTH);
        final int padLen = bufferNdx < 56 ? 56 - bufferNdx : 120 - bufferNdx;

        // padding is alwas binary 1 followed by binary 0s
        final byte[] tail = new byte[padLen + 8];
        tail[0] = (byte) 0x80;

        // append length before final transform:
        // save number of bits, casting the long to an array of 8 bytes

    [repackage] them. **If your code is a library, we strongly recommend using
    the [Guava Beta Checker] to ensure that you do not use any `@Beta` APIs!**

2.  APIs without `@Beta` will remain binary-compatible for the indefinite
    future. (Previously, we sometimes removed such APIs after a deprecation
    period. The last release to remove non-`@Beta` APIs was Guava 21.0.) Even

  - type: dropdown
    id: source
    attributes:
      label: Source
      description: TensorFlow installed from
      options:
        - source
        - binary
    validations:
      required: true

  - type: input
    id: tfversion
    attributes:
      label: TensorFlow version
      placeholder: e.g., tf 2.8
    validations:
      required: true

* `bytes`:
    * O `bytes` padrão do Python.
    * Em requisições e respostas será representado como uma `str`.
    * O esquema gerado vai especificar que é uma `str` com o "formato" `binary`.
* `Decimal`:
    * O `Decimal` padrão do Python.
    * Em requisições e respostas será representado como um `float`.

build:nvcc_clang --config=cuda_nvcc

# Debug config
build:dbg -c dbg
# Only include debug info for files under tensorflow/, excluding kernels, to
# reduce the size of the debug info in the binary. This is because if the debug
# sections in the ELF binary are too large, errors can occur. See
# https://github.com/tensorflow/tensorflow/issues/48919.
# Users can still include debug info for a specific kernel, e.g. with:

	v := (*b)[0]
	*b = (*b)[1:]
	return v
}

func (b *readBuf) uint16() uint16 {
	v := binary.LittleEndian.Uint16(*b)
	*b = (*b)[2:]
	return v
}

func (b *readBuf) uint32() uint32 {
	v := binary.LittleEndian.Uint32(*b)
	*b = (*b)[4:]
	return v
}

func (b *readBuf) uint64() uint64 {
	v := binary.LittleEndian.Uint64(*b)
	*b = (*b)[8:]
	return v
}

### GNU/Linux and macOS

```sh
docker-compose pull
docker-compose up
```

or

```sh
docker stack deploy --compose-file docker-compose.yaml minio
```

        Class.forName("org.conscrypt.Conscrypt\$Version", false, javaClass.classLoader)

        when {
          // Bump this version if we ever have a binary incompatibility
          Conscrypt.isAvailable() && atLeastVersion(2, 1, 0) -> true
          else -> false
        }
      } catch (e: NoClassDefFoundError) {
        false

        * 응답 시, `set`는 `list`로 변환됩니다.
        * 생성된 스키마는 (JSON 스키마의 `uniqueItems`를 이용해) `set`의 값이 고유함을 명시합니다.
* `bytes`:
    * 표준 파이썬의 `bytes`.
    * 요청과 응답에서 `str`로 취급됩니다.
    * 생성된 스키마는 이것이 `binary` "형식"의 `str`임을 명시합니다.
* `Decimal`:
    * 표준 파이썬의 `Decimal`.
    * 요청과 응답에서 `float`와 동일하게 다뤄집니다.