def test_text2tokens(char_tokenizer: CharTokenizer):
assert char_tokenizer.text2tokens("He[foo]llo") == [
"H",
"e",
"[foo]",
"l",
"l",
"o",
]
def build_tokenizer(
token_type: str,
bpemodel: Union[Path, str, Iterable[str]] = None,
non_linguistic_symbols: Union[Path, str, Iterable[str]] = None,
remove_non_linguistic_symbols: bool = False,
space_symbol: str = "<space>",
delimiter: str = None,
g2p_type: str = None,
) -> AbsTokenizer:
"""A helper function to instantiate Tokenizer"""
assert check_argument_types()
if token_type == "bpe":
if bpemodel is None:
raise ValueError('bpemodel is required if token_type = "bpe"')
if remove_non_linguistic_symbols:
raise RuntimeError(
"remove_non_linguistic_symbols is not implemented for token_type=bpe"
)
return SentencepiecesTokenizer(bpemodel)
elif token_type == "word":
if remove_non_linguistic_symbols and non_linguistic_symbols is not None:
return WordTokenizer(
delimiter=delimiter,
non_linguistic_symbols=non_linguistic_symbols,
remove_non_linguistic_symbols=True,
)
else:
return WordTokenizer(delimiter=delimiter)
elif token_type == "char":
return CharTokenizer(
non_linguistic_symbols=non_linguistic_symbols,
space_symbol=space_symbol,
remove_non_linguistic_symbols=remove_non_linguistic_symbols,
)
elif token_type == "phn":
if g2p_type is None:
raise ValueError("g2p_type is required if token_type=phn")
return PhonemeTokenizer(
g2p_type=g2p_type,
non_linguistic_symbols=non_linguistic_symbols,
space_symbol=space_symbol,
remove_non_linguistic_symbols=remove_non_linguistic_symbols,
)
else:
raise ValueError(f"token_mode must be one of bpe, word, char or phn: "
f"{token_type}")
def char_tokenizer():
return CharTokenizer(non_linguistic_symbols=["[foo]"])
def test_token2text(char_tokenizer: CharTokenizer):
assert char_tokenizer.tokens2text(["a", "b", "c"]) == "abc"
def char_converter():
return CharTokenizer(["[foo]"])