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import isort
from hypothesis import strategies as st
from typing import get_type_hints
def _as_config(kw) -> isort.Config:
if "wrap_length" in kw and "line_length" in kw:
kw["wrap_length"], kw["line_length"] = sorted([kw["wrap_length"], kw["line_length"]])
try:
return isort.Config(**kw)
except ValueError:
kw["wrap_length"] = 0
return isort.Config(**kw)
def configs(**force_strategies: st.SearchStrategy) -> st.SearchStrategy[isort.Config]:
"""Generate arbitrary Config objects."""
skip = {
"line_ending",
"sections",
"known_standard_library",
"known_future_library",
"known_third_party",
"known_first_party",
"known_local_folder",
"extra_standard_library",
"forced_separate",
"lines_after_imports",
"add_imports",
"lines_between_sections",
"lines_between_types",
"sources",
"virtual_env",
"conda_env",
"directory",
"formatter",
"formatting_function",
"comment_prefix",
"atomic",
"skip",
"src_paths",
}
inferred_kwargs = {
k: st.from_type(v)
for k, v in get_type_hints(isort.settings._Config).items()
if k not in skip
}
specific = {
"line_length": st.integers(0, 200),
"wrap_length": st.integers(0, 200),
"indent": st.integers(0, 20).map(lambda n: n * " "),
"default_section": st.sampled_from(sorted(isort.settings.KNOWN_SECTION_MAPPING)),
"force_grid_wrap": st.integers(0, 20),
"profile": st.sampled_from(sorted(isort.settings.profiles)),
"py_version": st.sampled_from(("auto",) + isort.settings.VALID_PY_TARGETS),
}
kwargs = {**inferred_kwargs, **specific, **force_strategies}
return st.fixed_dictionaries({}, optional=kwargs).map(_as_config)
st.register_type_strategy(isort.Config, configs())
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