diff options
Diffstat (limited to 'numpy/array_api/_creation_functions.py')
-rw-r--r-- | numpy/array_api/_creation_functions.py | 34 |
1 files changed, 31 insertions, 3 deletions
diff --git a/numpy/array_api/_creation_functions.py b/numpy/array_api/_creation_functions.py index 2d6cf4414..d760bf2fc 100644 --- a/numpy/array_api/_creation_functions.py +++ b/numpy/array_api/_creation_functions.py @@ -22,7 +22,7 @@ def _check_valid_dtype(dtype): # Note: Only spelling dtypes as the dtype objects is supported. # We use this instead of "dtype in _all_dtypes" because the dtype objects - # define equality with the sorts of things we want to disallw. + # define equality with the sorts of things we want to disallow. for d in (None,) + _all_dtypes: if dtype is d: return @@ -134,7 +134,7 @@ def eye( n_cols: Optional[int] = None, /, *, - k: Optional[int] = 0, + k: int = 0, dtype: Optional[Dtype] = None, device: Optional[Device] = None, ) -> Array: @@ -232,7 +232,7 @@ def linspace( return Array._new(np.linspace(start, stop, num, dtype=dtype, endpoint=endpoint)) -def meshgrid(*arrays: Sequence[Array], indexing: str = "xy") -> List[Array, ...]: +def meshgrid(*arrays: Array, indexing: str = "xy") -> List[Array]: """ Array API compatible wrapper for :py:func:`np.meshgrid <numpy.meshgrid>`. @@ -281,6 +281,34 @@ def ones_like( return Array._new(np.ones_like(x._array, dtype=dtype)) +def tril(x: Array, /, *, k: int = 0) -> Array: + """ + Array API compatible wrapper for :py:func:`np.tril <numpy.tril>`. + + See its docstring for more information. + """ + from ._array_object import Array + + if x.ndim < 2: + # Note: Unlike np.tril, x must be at least 2-D + raise ValueError("x must be at least 2-dimensional for tril") + return Array._new(np.tril(x._array, k=k)) + + +def triu(x: Array, /, *, k: int = 0) -> Array: + """ + Array API compatible wrapper for :py:func:`np.triu <numpy.triu>`. + + See its docstring for more information. + """ + from ._array_object import Array + + if x.ndim < 2: + # Note: Unlike np.triu, x must be at least 2-D + raise ValueError("x must be at least 2-dimensional for triu") + return Array._new(np.triu(x._array, k=k)) + + def zeros( shape: Union[int, Tuple[int, ...]], *, |