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dummy_tokenizer

DummyTokenizer

Bases: BaseTokenizer

Source code in griptape/tokenizers/dummy_tokenizer.py 
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@define
class DummyTokenizer(BaseTokenizer):
    model: Optional[str] = field(default=None, kw_only=True)
    _max_input_tokens: int = field(init=False, default=0, kw_only=True, alias="max_input_tokens")
    _max_output_tokens: int = field(init=False, default=0, kw_only=True, alias="max_output_tokens")

    def count_tokens(self, text: str) -> int:
        raise DummyError(__class__.__name__, "count_tokens")

_max_input_tokens = field(init=False, default=0, kw_only=True, alias='max_input_tokens') class-attribute instance-attribute

_max_output_tokens = field(init=False, default=0, kw_only=True, alias='max_output_tokens') class-attribute instance-attribute

model = field(default=None, kw_only=True) class-attribute instance-attribute

count_tokens(text)

Source code in griptape/tokenizers/dummy_tokenizer.py 
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def count_tokens(self, text: str) -> int:
    raise DummyError(__class__.__name__, "count_tokens")