## org.apache.lucene.analysis
Class MockTokenizer

    java.lang.Object
      org.apache.lucene.util.AttributeSource
          org.apache.lucene.analysis.TokenStream
              org.apache.lucene.analysis.Tokenizer
                  org.apache.lucene.analysis.MockTokenizer

All Implemented Interfaces:
  Closeable

    public class MockTokenizer

extends Tokenizer

Tokenizer for testing.

This tokenizer is a replacement for `WHITESPACE`, `SIMPLE`, and `KEYWORD` tokenizers. If you are writing a component such as a TokenFilter, its a great idea to test it wrapping this tokenizer instead for extra checks. This tokenizer has the following behavior:

- An internal state-machine is used for checking consumer consistency. These checks can be disabled with `setEnableChecks(boolean)`.
- For convenience, optionally lowercases terms that it outputs.

Nested Class Summary

Nested classes/interfaces inherited from class org.apache.lucene.util.AttributeSource
`AttributeSource.AttributeFactory`

Field Summary
`static int` `DEFAULT_MAX_TOKEN_LENGTH`
`static int` `KEYWORD` Acts Similar to KeywordTokenizer.
`static int` `SIMPLE` Acts like LetterTokenizer.
`static int` `WHITESPACE` Acts Similar to WhitespaceTokenizer

Fields inherited from class org.apache.lucene.analysis.Tokenizer
`input`

Constructor Summary
`MockTokenizer(AttributeSource.AttributeFactory factory, Reader input, int pattern, boolean lowerCase, int maxTokenLength)`
`MockTokenizer(Reader input)` Calls `MockTokenizer(Reader, WHITESPACE, true)`
`MockTokenizer(Reader input, int pattern, boolean lowerCase)`
`MockTokenizer(Reader input, int pattern, boolean lowerCase, int maxTokenLength)`

Method Summary
`void` `close()` By default, closes the input Reader.
`void` `end()` This method is called by the consumer after the last token has been consumed, after `TokenStream.incrementToken()` returned `false` (using the new `TokenStream` API).
`boolean` `incrementToken()` Consumers (i.e., `IndexWriter`) use this method to advance the stream to the next token.
`protected boolean` `isTokenChar(int c)`
`protected int` `normalize(int c)`
`protected int` `readCodePoint()`
`void` `reset()` Resets this stream to the beginning.
`void` `reset(Reader input)` Expert: Reset the tokenizer to a new reader.
`void` `setEnableChecks(boolean enableChecks)` Toggle consumer workflow checking: if your test consumes tokenstreams normally you should leave this enabled.

Methods inherited from class org.apache.lucene.analysis.Tokenizer
`correctOffset`

Methods inherited from class org.apache.lucene.util.AttributeSource
`addAttribute, addAttributeImpl, captureState, clearAttributes, cloneAttributes, copyTo, equals, getAttribute, getAttributeClassesIterator, getAttributeFactory, getAttributeImplsIterator, hasAttribute, hasAttributes, hashCode, reflectAsString, reflectWith, restoreState, toString`

Methods inherited from class java.lang.Object
`clone, finalize, getClass, notify, notifyAll, wait, wait, wait`

Field Detail

### WHITESPACE

    public static final int WHITESPACE

  Acts Similar to WhitespaceTokenizer

  See Also:
    Constant Field Values

### KEYWORD

    public static final int KEYWORD

  Acts Similar to KeywordTokenizer. TODO: Keyword returns an "empty" token for an empty reader...

  See Also:
    Constant Field Values

### SIMPLE

    public static final int SIMPLE

  Acts like LetterTokenizer.

  See Also:
    Constant Field Values

### DEFAULT_MAX_TOKEN_LENGTH

    public static final int DEFAULT_MAX_TOKEN_LENGTH

See Also:
  Constant Field Values

Constructor Detail

### MockTokenizer

    public MockTokenizer(AttributeSource.AttributeFactory factory,
                         Reader input,
                         int pattern,
                         boolean lowerCase,
                         int maxTokenLength)

### MockTokenizer

    public MockTokenizer(Reader input,
                         int pattern,
                         boolean lowerCase,
                         int maxTokenLength)

### MockTokenizer

    public MockTokenizer(Reader input,
                         int pattern,
                         boolean lowerCase)

### MockTokenizer

    public MockTokenizer(Reader input)

  Calls `MockTokenizer(Reader, WHITESPACE, true)`

Method Detail

### incrementToken

    public final boolean incrementToken()
                                 throws IOException

  Description copied from class: `TokenStream`
  Consumers (i.e., `IndexWriter`) use this method to advance the stream to the next token. Implementing classes must implement this method and update the appropriate `AttributeImpl`s with the attributes of the next token.

  The producer must make no assumptions about the attributes after the method has been returned: the caller may arbitrarily change it. If the producer needs to preserve the state for subsequent calls, it can use `AttributeSource.captureState()` to create a copy of the current attribute state.

  This method is called for every token of a document, so an efficient implementation is crucial for good performance. To avoid calls to `AttributeSource.addAttribute(Class)` and `AttributeSource.getAttribute(Class)`, references to all `AttributeImpl`s that this stream uses should be retrieved during instantiation.

  To ensure that filters and consumers know which attributes are available, the attributes must be added during instantiation. Filters and consumers are not required to check for availability of attributes in `TokenStream.incrementToken()`.

  Specified by:
    `incrementToken` in class `TokenStream`
  Returns:
    false for end of stream; true otherwise
  Throws:
    `IOException`

### readCodePoint

    protected int readCodePoint()
                         throws IOException

  Throws:
    `IOException`

### isTokenChar

    protected boolean isTokenChar(int c)

### normalize

    protected int normalize(int c)

### reset

    public void reset()
               throws IOException

  Description copied from class: `TokenStream`
  Resets this stream to the beginning. This is an optional operation, so subclasses may or may not implement this method. `TokenStream.reset()` is not needed for the standard indexing process. However, if the tokens of a `TokenStream` are intended to be consumed more than once, it is necessary to implement `TokenStream.reset()`. Note that if your TokenStream caches tokens and feeds them back again after a reset, it is imperative that you clone the tokens when you store them away (on the first pass) as well as when you return them (on future passes after `TokenStream.reset()`).

  Overrides:
    `reset` in class `TokenStream`
  Throws:
    `IOException`

### close

    public void close()
               throws IOException

  Description copied from class: `Tokenizer`
  By default, closes the input Reader.

  Specified by:
    `close` in interface `Closeable`
  Overrides:
    `close` in class `Tokenizer`
  Throws:
    `IOException`

### reset

    public void reset(Reader input)
               throws IOException

  Description copied from class: `Tokenizer`
  Expert: Reset the tokenizer to a new reader. Typically, an analyzer (in its reusableTokenStream method) will use this to re-use a previously created tokenizer.

  Overrides:
    `reset` in class `Tokenizer`
  Throws:
    `IOException`

### end

    public void end()
             throws IOException

  Description copied from class: `TokenStream`
  This method is called by the consumer after the last token has been consumed, after `TokenStream.incrementToken()` returned `false` (using the new `TokenStream` API). Streams implementing the old API should upgrade to use this feature.

  This method can be used to perform any end-of-stream operations, such as setting the final offset of a stream. The final offset of a stream might differ from the offset of the last token eg in case one or more whitespaces followed after the last token, but a `WhitespaceTokenizer` was used.

  Overrides:
    `end` in class `TokenStream`
  Throws:
    `IOException`

### setEnableChecks

    public void setEnableChecks(boolean enableChecks)

  Toggle consumer workflow checking: if your test consumes tokenstreams normally you should leave this enabled.