def segment_string(text: str):
"""
Divides one larger word into segments
:param text:
:return:
"""
base = text.lstrip("-")
# Replace symbols with their unicode names
translated = re.sub("[^[:alpha:]\s\-_]",
lambda match: human_readable_translate(match.group()),
base)
dash_tokens = re.split("[-_ ]", translated)
segment_tokens = itertools.chain.from_iterable(
[wordsegment.segment(w) for w in dash_tokens])
return [sanitize_token(tok) for tok in segment_tokens]
def reserved(self) -> Set[Tuple[str, ...]]:
# Steal the keywords list from miniWDL
return {tuple(wordsegment.segment(key)) for key in keywords["1.0"]}
def text(self) -> typing.List[str]:
return list(
itertools.chain.from_iterable(
[wordsegment.segment(name) for name in self.choices]
)
)
def get_type(self):
t = (
infer_type(" ".join(wordsegment.segment(self.name)))
or cli_types.CliString()
)
return cli_types.CliList(t)
def text(self) -> typing.List[str]:
return list(wordsegment.segment(self.name))
def get_type(self):
return infer_type(" ".join(wordsegment.segment(self.name))) or None
def get_type(self):
return cli_types.CliTuple(
[infer_type(" ".join(wordsegment.segment(arg))) for arg in self.names]
)