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The trim filter removes leading and trailing whitespace from a token (but not whitespace in the middle). If a token consists entirely of whitespace, the token is eliminated entirely. This filter is useful for tokenizers that don’t already split on whitespace, like the literal normalized tokenizer or certain language-specific tokenizers.
To demonstrate this token filter, let’s compare the output of the following two statements:
Expected Response