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|
- case: test_mypy_pipe_lambda_noarg_return_type
main: |
from xarray import DataArray
da = DataArray().pipe(lambda data: data)
reveal_type(da) # N: Revealed type is "xarray.core.dataarray.DataArray"
- case: test_mypy_pipe_lambda_posarg_return_type
main: |
from xarray import DataArray
da = DataArray().pipe(lambda data, arg: arg, "foo")
reveal_type(da) # N: Revealed type is "builtins.str"
- case: test_mypy_pipe_lambda_chaining_return_type
main: |
from xarray import DataArray
answer = DataArray().pipe(lambda data, arg: arg, "foo").count("o")
reveal_type(answer) # N: Revealed type is "builtins.int"
- case: test_mypy_pipe_lambda_missing_arg
main: |
from xarray import DataArray
# Call to pipe missing argument for lambda parameter `arg`
da = DataArray().pipe(lambda data, arg: data)
out: |
main:4: error: No overload variant of "pipe" of "DataWithCoords" matches argument type "Callable[[Any, Any], Any]" [call-overload]
main:4: note: Possible overload variants:
main:4: note: def [P`2, T] pipe(self, func: Callable[[DataArray, **P], T], *args: P.args, **kwargs: P.kwargs) -> T
main:4: note: def [T] pipe(self, func: tuple[Callable[..., T], str], *args: Any, **kwargs: Any) -> T
- case: test_mypy_pipe_lambda_extra_arg
main: |
from xarray import DataArray
# Call to pipe with extra argument for lambda
da = DataArray().pipe(lambda data: data, "oops!")
out: |
main:4: error: No overload variant of "pipe" of "DataWithCoords" matches argument types "Callable[[Any], Any]", "str" [call-overload]
main:4: note: Possible overload variants:
main:4: note: def [P`2, T] pipe(self, func: Callable[[DataArray, **P], T], *args: P.args, **kwargs: P.kwargs) -> T
main:4: note: def [T] pipe(self, func: tuple[Callable[..., T], str], *args: Any, **kwargs: Any) -> T
- case: test_mypy_pipe_function_missing_posarg
main: |
from xarray import DataArray
def f(da: DataArray, arg: int) -> DataArray:
return da
# Call to pipe missing argument for function parameter `arg`
da = DataArray().pipe(f)
out: |
main:7: error: No overload variant of "pipe" of "DataWithCoords" matches argument type "Callable[[DataArray, int], DataArray]" [call-overload]
main:7: note: Possible overload variants:
main:7: note: def [P`2, T] pipe(self, func: Callable[[DataArray, **P], T], *args: P.args, **kwargs: P.kwargs) -> T
main:7: note: def [T] pipe(self, func: tuple[Callable[..., T], str], *args: Any, **kwargs: Any) -> T
- case: test_mypy_pipe_function_extra_posarg
main: |
from xarray import DataArray
def f(da: DataArray, arg: int) -> DataArray:
return da
# Call to pipe missing keyword for kwonly parameter `kwonly`
da = DataArray().pipe(f, 42, "oops!")
out: |
main:7: error: No overload variant of "pipe" of "DataWithCoords" matches argument types "Callable[[DataArray, int], DataArray]", "int", "str" [call-overload]
main:7: note: Possible overload variants:
main:7: note: def [P`2, T] pipe(self, func: Callable[[DataArray, **P], T], *args: P.args, **kwargs: P.kwargs) -> T
main:7: note: def [T] pipe(self, func: tuple[Callable[..., T], str], *args: Any, **kwargs: Any) -> T
- case: test_mypy_pipe_function_missing_kwarg
main: |
from xarray import DataArray
def f(da: DataArray, arg: int, *, kwonly: int) -> DataArray:
return da
# Call to pipe missing argument for kwonly parameter `kwonly`
da = DataArray().pipe(f, 42)
out: |
main:7: error: No overload variant of "pipe" of "DataWithCoords" matches argument types "Callable[[DataArray, int, NamedArg(int, 'kwonly')], DataArray]", "int" [call-overload]
main:7: note: Possible overload variants:
main:7: note: def [P`2, T] pipe(self, func: Callable[[DataArray, **P], T], *args: P.args, **kwargs: P.kwargs) -> T
main:7: note: def [T] pipe(self, func: tuple[Callable[..., T], str], *args: Any, **kwargs: Any) -> T
- case: test_mypy_pipe_function_missing_keyword
main: |
from xarray import DataArray
def f(da: DataArray, arg: int, *, kwonly: int) -> DataArray:
return da
# Call to pipe missing keyword for kwonly parameter `kwonly`
da = DataArray().pipe(f, 42, 99)
out: |
main:7: error: No overload variant of "pipe" of "DataWithCoords" matches argument types "Callable[[DataArray, int, NamedArg(int, 'kwonly')], DataArray]", "int", "int" [call-overload]
main:7: note: Possible overload variants:
main:7: note: def [P`2, T] pipe(self, func: Callable[[DataArray, **P], T], *args: P.args, **kwargs: P.kwargs) -> T
main:7: note: def [T] pipe(self, func: tuple[Callable[..., T], str], *args: Any, **kwargs: Any) -> T
- case: test_mypy_pipe_function_unexpected_keyword
main: |
from xarray import DataArray
def f(da: DataArray, arg: int, *, kwonly: int) -> DataArray:
return da
# Call to pipe using wrong keyword: `kw` instead of `kwonly`
da = DataArray().pipe(f, 42, kw=99)
out: |
main:7: error: Unexpected keyword argument "kw" for "pipe" of "DataWithCoords" [call-arg]
- case: test_mypy_pipe_tuple_return_type_dataarray
main: |
from xarray import DataArray
def f(arg: int, da: DataArray) -> DataArray:
return da
da = DataArray().pipe((f, "da"), 42)
reveal_type(da) # N: Revealed type is "xarray.core.dataarray.DataArray"
- case: test_mypy_pipe_tuple_return_type_other
main: |
from xarray import DataArray
def f(arg: int, da: DataArray) -> int:
return arg
answer = DataArray().pipe((f, "da"), 42)
reveal_type(answer) # N: Revealed type is "builtins.int"
- case: test_mypy_pipe_tuple_missing_arg
main: |
from xarray import DataArray
def f(arg: int, da: DataArray) -> DataArray:
return da
# Since we cannot provide a precise type annotation when passing a tuple to
# pipe, there's not enough information for type analysis to indicate that
# we are missing an argument for parameter `arg`, so we get no error here.
da = DataArray().pipe((f, "da"))
reveal_type(da) # N: Revealed type is "xarray.core.dataarray.DataArray"
# Rather than passing a tuple, passing a lambda that calls `f` with args in
# the correct order allows for proper type analysis, indicating (perhaps
# somewhat cryptically) that we failed to pass an argument for `arg`.
da = DataArray().pipe(lambda data, arg: f(arg, data))
out: |
main:17: error: No overload variant of "pipe" of "DataWithCoords" matches argument type "Callable[[Any, Any], DataArray]" [call-overload]
main:17: note: Possible overload variants:
main:17: note: def [P`9, T] pipe(self, func: Callable[[DataArray, **P], T], *args: P.args, **kwargs: P.kwargs) -> T
main:17: note: def [T] pipe(self, func: tuple[Callable[..., T], str], *args: Any, **kwargs: Any) -> T
- case: test_mypy_pipe_tuple_extra_arg
main: |
from xarray import DataArray
def f(arg: int, da: DataArray) -> DataArray:
return da
# Since we cannot provide a precise type annotation when passing a tuple to
# pipe, there's not enough information for type analysis to indicate that
# we are providing too many args for `f`, so we get no error here.
da = DataArray().pipe((f, "da"), 42, "foo")
reveal_type(da) # N: Revealed type is "xarray.core.dataarray.DataArray"
# Rather than passing a tuple, passing a lambda that calls `f` with args in
# the correct order allows for proper type analysis, indicating (perhaps
# somewhat cryptically) that we passed too many arguments.
da = DataArray().pipe(lambda data, arg: f(arg, data), 42, "foo")
out: |
main:17: error: No overload variant of "pipe" of "DataWithCoords" matches argument types "Callable[[Any, Any], DataArray]", "int", "str" [call-overload]
main:17: note: Possible overload variants:
main:17: note: def [P`9, T] pipe(self, func: Callable[[DataArray, **P], T], *args: P.args, **kwargs: P.kwargs) -> T
main:17: note: def [T] pipe(self, func: tuple[Callable[..., T], str], *args: Any, **kwargs: Any) -> T
|
