| 121 | |
| 122 | @derived_from(np.ufunc) |
| 123 | def outer(self, A, B, **kwargs): |
| 124 | if self.nin != 2: |
| 125 | raise ValueError("outer product only supported for binary functions") |
| 126 | if "out" in kwargs: |
| 127 | raise ValueError("`out` kwarg not supported") |
| 128 | |
| 129 | A_is_dask = is_dask_collection(A) |
| 130 | B_is_dask = is_dask_collection(B) |
| 131 | if not A_is_dask and not B_is_dask: |
| 132 | return self._ufunc.outer(A, B, **kwargs) |
| 133 | elif ( |
| 134 | A_is_dask |
| 135 | and not isinstance(A, Array) |
| 136 | or B_is_dask |
| 137 | and not isinstance(B, Array) |
| 138 | ): |
| 139 | raise NotImplementedError( |
| 140 | "Dask objects besides `dask.array.Array` " |
| 141 | "are not supported at this time." |
| 142 | ) |
| 143 | |
| 144 | A = asarray(A) |
| 145 | B = asarray(B) |
| 146 | ndim = A.ndim + B.ndim |
| 147 | out_inds = tuple(range(ndim)) |
| 148 | A_inds = out_inds[: A.ndim] |
| 149 | B_inds = out_inds[A.ndim :] |
| 150 | |
| 151 | dtype = apply_infer_dtype( |
| 152 | self._ufunc.outer, [A, B], kwargs, "ufunc.outer", suggest_dtype=False |
| 153 | ) |
| 154 | |
| 155 | if "dtype" in kwargs: |
| 156 | func = partial(self._ufunc.outer, dtype=kwargs.pop("dtype")) |
| 157 | else: |
| 158 | func = self._ufunc.outer |
| 159 | |
| 160 | return blockwise( |
| 161 | func, |
| 162 | out_inds, |
| 163 | A, |
| 164 | A_inds, |
| 165 | B, |
| 166 | B_inds, |
| 167 | dtype=dtype, |
| 168 | token=self.__name__ + ".outer", |
| 169 | **kwargs, |
| 170 | ) |
| 171 | |
| 172 | |
| 173 | # ufuncs, copied from this page: |