“parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference on deep neural networks. Several Google services use TensorFlow in production, we have released it as an open-source project, and it has become widely used for machine learning research. In this paper, we describe the TensorFlow dataflow model and...

	case "line":
		in.line()
	case "undef":
		in.undef()
	default:
		in.Error("unexpected token after '#':", in.Stack.Text())
	}
	return true
}

// macroName returns the name for the macro being referenced.
func (in *Input) macroName() string {
	// We use the Stack's input method; no macro processing at this stage.
	tok := in.Stack.Next()
	if tok != scanner.Ident {
		in.expectText("expected identifier after # directive")

        assertEquals(Float.MAX_VALUE, suggestItem.getUserBoost(), 0.001f);
    }

    @Test
    public void testGettersWithMutableLists() {
        // Test that getters return the same list references
        String word = "mutable test";
        float boost = 1.0f;
        List<String> readings = new ArrayList<>();
        readings.add("reading1");
        List<String> fields = new ArrayList<>();

    .setTags(new String[]{"category"})      // filter by tags
    .setRoles(new String[]{"user"})         // filter by roles  
    .setLanguages(new String[]{"en", "ja"}) // language preference
    .setFields(new String[]{"title"})       // search specific fields
    .execute()
    .getResponse();
```

## Project Structure

```
src/
├── main/java/org/codelibs/fess/suggest/

  }

  ~ShapeInferenceTest() override {
    TFE_DeleteContextOptions(tfe_context_options_);
    TFE_DeleteContext(tfe_context_);
    TF_DeleteStatus(status_);
  }

  // Checks the expected result of shape inference for the given `op`.
  void CheckOutputShapes(
      TFE_Op* op,
      const std::vector<absl::optional<std::vector<int64_t>>>& input_shapes_vec,
      const std::vector<TF_Tensor*>& input_tensors,

	ContentType string

	// Specifies what content encodings have been applied to the object and thus
	// what decoding mechanisms must be applied to obtain the object referenced
	// by the Content-Type header field.
	ContentEncoding string

	// Date and time at which the object is no longer able to be cached
	Expires time.Time

			take(&required)
			take(&features)
		}
	}

	return ok
}

// aliasReplacer applies type aliases to earlier API files,
// to avoid misleading negative results.
// This makes all the references to os.FileInfo in go1.txt
// be read as if they said fs.FileInfo, since os.FileInfo is now an alias.
// If there are many of these, we could do a more general solution,
// but for now the replacer is fine.

		case <-ctx.Done():
			return ctx.Err()
		case resp <- file:
		}
	}
}

// CleanAbandonedData will read metadata of the object on disk
// and delete any data directories and inline data that isn't referenced in metadata.
func (client *storageRESTClient) CleanAbandonedData(ctx context.Context, volume string, path string) error {
	values := make(url.Values)
	values.Set(storageRESTVolume, volume)

	}
	defer done(0, &err)

	return p.storage.ReadMultiple(ctx, req, resp)
}

// CleanAbandonedData will read metadata of the object on disk
// and delete any data directories and inline data that isn't referenced in metadata.
func (p *xlStorageDiskIDCheck) CleanAbandonedData(ctx context.Context, volume string, path string) (err error) {
	ctx, done, err := p.TrackDiskHealth(ctx, storageMetricDeleteAbandonedParts, volume, path)

	for i, dobj := range dobjects {
		// This object errored, we should attempt a heal just in case.
		if errs[i] != nil && !isErrVersionNotFound(errs[i]) && !isErrObjectNotFound(errs[i]) {
			// all other direct versionId references we should
			// ensure no dangling file is left over.
			er.addPartial(bucket, dobj.ObjectName, dobj.VersionID)
			continue
		}

		// Check if there is any offline disk and add it to the MRF list