module numpy.ufunc¶
Source: stdlib/numpy/ufunc.codon
numpy.ufunc¶Source: stdlib/numpy/ufunc.codon
decide_types(x, y, dtype: type)¶decide_types_copysign(x, y, dtype: type)¶decide_types_ldexp(x, y, dtype: type)¶UnaryUFunc[__name__,F] @tuple Class is named tuple (cannot write fields) ¶F: type¶nin @property Method is a class property ¶nout @property Method is a class property ¶__new__(op: F, name: Literal[str], F: type)¶__call__(self, x, out = None, where = True, dtype: type = NoneType)¶at(self, a, indices)¶UnaryUFunc2[__name__,F] @tuple Class is named tuple (cannot write fields) ¶F: type¶nin @property Method is a class property ¶nout @property Method is a class property ¶__new__(op: F, name: Literal[str], F: type)¶__call__(self, x, out1 = None, out2 = None, out = None, where = True)¶BinaryUFunc[__name__,F,I] @tuple Class is named tuple (cannot write fields) ¶identity: I¶F: type¶I: type¶nin @property Method is a class property ¶nout @property Method is a class property ¶__new__(op: F, name: Literal[str], identity: I = None, F: type, I: type)¶__call__(self, x, y, out = None, where = True, dtype: type = NoneType)¶reduce(self, array, axis = 0, dtype: type = NoneType, out = None, keepdims: Literal[bool] = False, initial = util._NoValue(), where = True)¶accumulate(self, array, axis: int = 0, dtype: type = NoneType, out = None)¶at(self, a, indices, b)¶outer(self, A, B, dtype: type = NoneType)¶