let description = [{
    Constructs a tensor by tiling a given tensor.

   This operation creates a new tensor by replicating input
   multiples times. The output tensor's i'th dimension has
   input.dims(i) * multiples[i] elements, and the values of input
   are replicated multiples[i] times along the 'i'th dimension.
   For example, tiling [a b c d] by [2] produces [a b c d a b c d].
  }];

sschepens <******@****.***> 1717506007 -0300

        MaskedTensor(tf.experimental.ExtensionType): values: tf.Tensor mask:
        tf.Tensor` The `tf.ExtensionType` base class works similarly to
        [`typing.NamedTuple`](https://docs.python.org/3/library/typing.html#typing.NamedTuple)
        and
        [`@dataclasses.dataclass`](https://docs.python.org/3/library/dataclasses.html#dataclasses.dataclass)
        from the standard Python library.

 * appropriate.
 *
 * #### Timing Guarantees
 *
 * All modification events are guaranteed to be published in the write action in which the modification happens. Beyond that, the exact
 * timing is not strictly defined for most modification events.
 *

        // Special case for when normal broadcasting will just work.
        broadcast_dim = broadcasted_shape.size();
        broadcasted_shape.push_back(output_size);
      } else {
        // Tiling will happen for this dimension during the ReshapeOp below.
        broadcasted_shape.push_back(multiple);
        broadcast_dim = broadcasted_shape.size();
        broadcasted_shape.push_back(input_size);
      }

	})
}

func (f *sftpDriver) AccessKey() string {
	return f.permissions.CriticalOptions["AccessKey"]
}

func (f *sftpDriver) Fileread(r *sftp.Request) (ra io.ReaderAt, err error) {
	// This is not timing the actual read operation, but the time it takes to prepare the reader.
	stopFn := globalSftpMetrics.log(r, f.AccessKey())
	defer stopFn(0, err)

	flags := r.Pflags()
	if !flags.Read {
		// sanity check

  let summary = "Constructs a tensor by tiling a given tensor.";

  let description = [{
This operation creates a new tensor by replicating `input` `multiples` times.
The output tensor's i'th dimension has `input.dims(i) * multiples[i]` elements,
and the values of `input` are replicated `multiples[i]` times along the 'i'th
dimension. For example, tiling `[a b c d]` by `[2]` produces
`[a b c d a b c d]`.

            } catch (IOException ioex) {
                throw new UncheckedIOException(ioex);
            }
            throw e;
        }

        logger.debug("Timing: Writing script to cache at {} took: {}", classesDir.getAbsolutePath(), clock.getElapsed());
    }

    private void compileScript(

-----END CERTIFICATE-----`
)

var (
	certChainValid             = loadPEMFile("../testdata/cert-chain.pem")
	certChainValidTrailingLine = loadPEMFile("../testdata/cert-chain-trailing-line.pem")
)

func TestParsePemEncodedCertificate(t *testing.T) {
	testCases := map[string]struct {
		errMsg        string
		pem           string
		publicKeyAlgo x509.PublicKeyAlgorithm
	}{

// a client doing two subsequent requests could end up on different
// connections. It's somewhat harmless but enough tests assume it's
// not true in order to test other things that it's worth fixing.
// Plus it's nice to be consistent and not have timing-dependent
// behavior.
func TestTransportReuseConnEmptyResponseBody(t *testing.T) {
	run(t, testTransportReuseConnEmptyResponseBody)
}