Example #1
0
 def all(
     self,
     *,
     axis: int | None = None,
     out=None,
     keepdims: bool = False,
     skipna: bool = True,
 ):
     nv.validate_all((), {"out": out, "keepdims": keepdims})
     result = nanops.nanall(self._ndarray, axis=axis, skipna=skipna)
     return self._wrap_reduction_result(axis, result)
Example #2
0
 def all(self, axis=None, out=None, keepdims=False, skipna=True):
     nv.validate_all((), dict(out=out, keepdims=keepdims))
     return nanops.nanall(self._ndarray, axis=axis, skipna=skipna)
Example #3
0
 def all(self, axis=None, out=None, keepdims=False, skipna=True):
     nv.validate_all((), dict(out=out, keepdims=keepdims))
     return nanops.nanall(self._ndarray, axis=axis, skipna=skipna)
Example #4
0
 def all(self, *, axis=None, out=None, keepdims=False, skipna=True):
     nv.validate_all((), dict(out=out, keepdims=keepdims))
     result = nanops.nanall(self._ndarray, axis=axis, skipna=skipna)
     return self._wrap_reduction_result(axis, result)