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

  - 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`.

	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
}

   * {@link #OCTET_STREAM} for binary data that is not being served to a browser.
   *
   * @since 14.0
   */
  public static final MediaType APPLICATION_BINARY = createConstant(APPLICATION_TYPE, "binary");

  /**
   * As described in <a href="https://www.rfc-editor.org/rfc/rfc8949.html">RFC 8949</a>, this
   * constant ({@code application/cbor}) is used for the Concise Binary Object Representation (CBOR)
   * data format.

### GNU/Linux and macOS

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

or

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

    [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

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:

        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

	// if any change is made to the data stored, bumping this
	// will allow to detect the exact version later.
	xlVersionMinor = 1
)

func init() {
	binary.LittleEndian.PutUint16(xlVersionCurrent[0:2], xlVersionMajor)
	binary.LittleEndian.PutUint16(xlVersionCurrent[2:4], xlVersionMinor)
}

// checkXL2V1 will check if the metadata has correct header and is a known major version.