<a href="fess-webapp-semantic-search/" title="fess-webapp-semantic-search/">fess-webapp-semantic-search/</a>                                     -         -      
<a href="fess-xpack/" title="fess-xpack/">fess-xpack/</a>                                                      -         -      
		</pre>
	</main>
	<hr/>
</body>

# error. In order to upload to PyPI, we unpack the wheel and change the tag
# inside a metadata file to the one we want (e.g cp38-cp38-win_amd) and then
# re-pack it to generate it as a platform specific wheel with this new wheel
#tag.
python3 -m wheel unpack "${pure_python_whl}"

# Remove the pure python wheel.
rm -rf "${pure_python_whl}"

under the License.
-->

<project>
  <modelVersion>4.0.0</modelVersion>
  <artifactId>foo</artifactId>
  <groupId>bar</groupId>
  <version>1.0</version>
  <packaging>pack</packaging>
  <build>
    <plugins>
      <plugin>
        <artifactId>maven-it-plugin</artifactId>
        <version></version>
      </plugin>
    </plugins>
  </build>

// A ParallelDevice on its own is not registered with a TFE_Context, and so has
// no device name (e.g. for `tf.device`). `NamedParallelDevice` associates a
// name with it, which lets us pack its `ParallelTensor`s into TFE_TensorHandles
// placed on the parallel device.
class NamedParallelDevice {
 public:
  NamedParallelDevice(const std::string& name,

	// Check if we can use USTAR prefix/suffix splitting.
	var namePrefix string
	if prefix, suffix, ok := splitUSTARPath(hdr.Name); ok {
		namePrefix, hdr.Name = prefix, suffix
	}

	// Pack the main header.
	var f formatter
	blk := tw.templateV7Plus(hdr, f.formatString, f.formatOctal)
	f.formatString(blk.toUSTAR().prefix(), namePrefix)
	blk.setFormat(FormatUSTAR)
	if f.err != nil {

      Multiply(context.get(), second_combined_value.get(),
               second_negative_one.get(), status.get()));
  ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get());

  // Un-pack the parallel tensor to verify that the operation was
  // successful. The resulting structure should be:
  //   second_device{first_device{1. * 3., 2. * 3.}, 3. * 3.}.
  std::array<TensorHandlePtr, 2> second_components;

        TFE_DeleteTensorHandle(outputs[i]);
      }
    }
    return status.status;
  }

  absl::Status Pack(absl::Span<ImmediateExecutionTensorHandle*> handles,
                    ImmediateExecutionTensorHandle** result) override {
    TF_Status status;
    *result = tensorflow::unwrap(device_.pack(context_,
                                              tensorflow::wrap(handles.data()),

      // One of the inputs we're trying to pack is on a custom device. We'll let
      // the first custom device we see handle all of the packing.
      auto* custom_device_handle =
          tensorflow::down_cast<tensorflow::CustomDeviceTensorHandle*>(
              unwrapped_handle);
      tensorflow::ImmediateExecutionTensorHandle* result;
      status->status = custom_device_handle->device()->Pack(

1 !important;\n  flex-shrink: 1 !important;\n}\n\n.justify-content-start {\n  -ms-flex-pack: start !important;\n  justify-content: flex-start !important;\n}\n\n.justify-content-end {\n  -ms-flex-pack: end !important;\n  justify-content: flex-end !important;\n}\n\n.justify-content-center {\n  -ms-flex-pack: center !important;\n  justify-content: center !important;\n}\n\n.justify-content-between {\n  -ms-flex-pack: justify !important;\n  justify-content: space-between !important;\n}\n\n.justify-content-around...

	github.com/peterbourgon/diskv v2.0.1+incompatible // indirect
	github.com/pkg/errors v0.9.1 // indirect
	github.com/planetscale/vtprotobuf v0.6.1-0.20240409071808-615f978279ca // indirect
	github.com/quic-go/qpack v0.5.1 // indirect
	github.com/rivo/uniseg v0.4.6 // indirect
	github.com/russross/blackfriday/v2 v2.1.0 // indirect
	github.com/sagikazarmark/locafero v0.4.0 // indirect
	github.com/sagikazarmark/slog-shim v0.1.0 // indirect