TST: Add typing tests for np.lib.arraysetop

Author: Bas van Beek

numpy/typing/tests/data/reveal/arraysetops.py

@@ -0,0 +1,60 @@
+import numpy as np
+import numpy.typing as npt
+
+AR_b: npt.NDArray[np.bool_]
+AR_i8: npt.NDArray[np.int64]
+AR_f8: npt.NDArray[np.float64]
+AR_M: npt.NDArray[np.datetime64]
+AR_O: npt.NDArray[np.object_]
+
+AR_LIKE_f8: list[float]
+
+reveal_type(np.ediff1d(AR_b))  # E: numpy.ndarray[Any, numpy.dtype[{int8}]]
+reveal_type(np.ediff1d(AR_i8, to_end=[1, 2, 3]))  # E: numpy.ndarray[Any, numpy.dtype[{int64}]]
+reveal_type(np.ediff1d(AR_M))  # E: numpy.ndarray[Any, numpy.dtype[numpy.timedelta64]]
+reveal_type(np.ediff1d(AR_O))  # E: numpy.ndarray[Any, numpy.dtype[numpy.object_]]
+reveal_type(np.ediff1d(AR_LIKE_f8, to_begin=[1, 1.5]))  # E: numpy.ndarray[Any, numpy.dtype[Any]]
+
+reveal_type(np.intersect1d(AR_i8, AR_i8))  # E: numpy.ndarray[Any, numpy.dtype[{int64}]]
+reveal_type(np.intersect1d(AR_M, AR_M, assume_unique=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.datetime64]]
+reveal_type(np.intersect1d(AR_f8, AR_i8))  # E: numpy.ndarray[Any, numpy.dtype[Any]]
+reveal_type(np.intersect1d(AR_f8, AR_f8, return_indices=True))  # E: Tuple[numpy.ndarray[Any, numpy.dtype[{float64}]], numpy.ndarray[Any, numpy.dtype[{intp}]], numpy.ndarray[Any, numpy.dtype[{intp}]]]
+
+reveal_type(np.setxor1d(AR_i8, AR_i8))  # E: numpy.ndarray[Any, numpy.dtype[{int64}]]
+reveal_type(np.setxor1d(AR_M, AR_M, assume_unique=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.datetime64]]
+reveal_type(np.setxor1d(AR_f8, AR_i8))  # E: numpy.ndarray[Any, numpy.dtype[Any]]
+
+reveal_type(np.in1d(AR_i8, AR_i8))  # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]]
+reveal_type(np.in1d(AR_M, AR_M, assume_unique=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]]
+reveal_type(np.in1d(AR_f8, AR_i8))  # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]]
+reveal_type(np.in1d(AR_f8, AR_LIKE_f8, invert=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]]
+
+reveal_type(np.isin(AR_i8, AR_i8))  # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]]
+reveal_type(np.isin(AR_M, AR_M, assume_unique=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]]
+reveal_type(np.isin(AR_f8, AR_i8))  # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]]
+reveal_type(np.isin(AR_f8, AR_LIKE_f8, invert=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]]
+
+reveal_type(np.union1d(AR_i8, AR_i8))  # E: numpy.ndarray[Any, numpy.dtype[{int64}]]
+reveal_type(np.union1d(AR_M, AR_M))  # E: numpy.ndarray[Any, numpy.dtype[numpy.datetime64]]
+reveal_type(np.union1d(AR_f8, AR_i8))  # E: numpy.ndarray[Any, numpy.dtype[Any]]
+
+reveal_type(np.setdiff1d(AR_i8, AR_i8))  # E: numpy.ndarray[Any, numpy.dtype[{int64}]]
+reveal_type(np.setdiff1d(AR_M, AR_M, assume_unique=True))  # E: numpy.ndarray[Any, numpy.dtype[numpy.datetime64]]
+reveal_type(np.setdiff1d(AR_f8, AR_i8))  # E: numpy.ndarray[Any, numpy.dtype[Any]]
+
+reveal_type(np.unique(AR_f8))  # E: numpy.ndarray[Any, numpy.dtype[{float64}]]
+reveal_type(np.unique(AR_LIKE_f8, axis=0))  # E: numpy.ndarray[Any, numpy.dtype[Any]]
+reveal_type(np.unique(AR_f8, return_index=True))  # E: Tuple[numpy.ndarray[Any, numpy.dtype[{float64}]], numpy.ndarray[Any, numpy.dtype[{intp}]]]
+reveal_type(np.unique(AR_LIKE_f8, return_index=True))  # E: Tuple[numpy.ndarray[Any, numpy.dtype[Any]], numpy.ndarray[Any, numpy.dtype[{intp}]]]
+reveal_type(np.unique(AR_f8, return_inverse=True))  # E: Tuple[numpy.ndarray[Any, numpy.dtype[{float64}]], numpy.ndarray[Any, numpy.dtype[{intp}]]]
+reveal_type(np.unique(AR_LIKE_f8, return_inverse=True))  # E: Tuple[numpy.ndarray[Any, numpy.dtype[Any]], numpy.ndarray[Any, numpy.dtype[{intp}]]]
+reveal_type(np.unique(AR_f8, return_counts=True))  # E: Tuple[numpy.ndarray[Any, numpy.dtype[{float64}]], numpy.ndarray[Any, numpy.dtype[{intp}]]]
+reveal_type(np.unique(AR_LIKE_f8, return_counts=True))  # E: Tuple[numpy.ndarray[Any, numpy.dtype[Any]], numpy.ndarray[Any, numpy.dtype[{intp}]]]
+reveal_type(np.unique(AR_f8, return_index=True, return_inverse=True))  # E: Tuple[numpy.ndarray[Any, numpy.dtype[{float64}]], numpy.ndarray[Any, numpy.dtype[{intp}]], numpy.ndarray[Any, numpy.dtype[{intp}]]]
+reveal_type(np.unique(AR_LIKE_f8, return_index=True, return_inverse=True))  # E: Tuple[numpy.ndarray[Any, numpy.dtype[Any]], numpy.ndarray[Any, numpy.dtype[{intp}]], numpy.ndarray[Any, numpy.dtype[{intp}]]]
+reveal_type(np.unique(AR_f8, return_index=True, return_counts=True))  # E: Tuple[numpy.ndarray[Any, numpy.dtype[{float64}]], numpy.ndarray[Any, numpy.dtype[{intp}]], numpy.ndarray[Any, numpy.dtype[{intp}]]]
+reveal_type(np.unique(AR_LIKE_f8, return_index=True, return_counts=True))  # E: Tuple[numpy.ndarray[Any, numpy.dtype[Any]], numpy.ndarray[Any, numpy.dtype[{intp}]], numpy.ndarray[Any, numpy.dtype[{intp}]]]
+reveal_type(np.unique(AR_f8, return_inverse=True, return_counts=True))  # E: Tuple[numpy.ndarray[Any, numpy.dtype[{float64}]], numpy.ndarray[Any, numpy.dtype[{intp}]], numpy.ndarray[Any, numpy.dtype[{intp}]]]
+reveal_type(np.unique(AR_LIKE_f8, return_inverse=True, return_counts=True))  # E: Tuple[numpy.ndarray[Any, numpy.dtype[Any]], numpy.ndarray[Any, numpy.dtype[{intp}]], numpy.ndarray[Any, numpy.dtype[{intp}]]]
+reveal_type(np.unique(AR_f8, return_index=True, return_inverse=True, return_counts=True))  # E: Tuple[numpy.ndarray[Any, numpy.dtype[{float64}]], numpy.ndarray[Any, numpy.dtype[{intp}]], numpy.ndarray[Any, numpy.dtype[{intp}]], numpy.ndarray[Any, numpy.dtype[{intp}]]]
+reveal_type(np.unique(AR_LIKE_f8, return_index=True, return_inverse=True, return_counts=True))  # E: Tuple[numpy.ndarray[Any, numpy.dtype[Any]], numpy.ndarray[Any, numpy.dtype[{intp}]], numpy.ndarray[Any, numpy.dtype[{intp}]], numpy.ndarray[Any, numpy.dtype[{intp}]]]