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Vehicle-cpp
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Vehicle-cpp
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hkpc
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software
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numpy
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typing
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tests
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data
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reveal
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arraysetops.pyi

arraysetops.pyi 4.6 KB
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  1. import numpy as np
    2. 

  2. import numpy.typing as npt
    3. 

  3. 

  4. AR_b: npt.NDArray[np.bool_]
    5. 

  5. AR_i8: npt.NDArray[np.int64]
    6. 

  6. AR_f8: npt.NDArray[np.float64]
    7. 

  7. AR_M: npt.NDArray[np.datetime64]
    8. 

  8. AR_O: npt.NDArray[np.object_]
    9. 

  9. 

  10. AR_LIKE_f8: list[float]
    11. 

  11. 

  12. reveal_type(np.ediff1d(AR_b))  # E: ndarray[Any, dtype[{int8}]]
    13. 

  13. reveal_type(np.ediff1d(AR_i8, to_end=[1, 2, 3]))  # E: ndarray[Any, dtype[{int64}]]
    14. 

  14. reveal_type(np.ediff1d(AR_M))  # E: ndarray[Any, dtype[timedelta64]]
    15. 

  15. reveal_type(np.ediff1d(AR_O))  # E: ndarray[Any, dtype[object_]]
    16. 

  16. reveal_type(np.ediff1d(AR_LIKE_f8, to_begin=[1, 1.5]))  # E: ndarray[Any, dtype[Any]]
    17. 

  17. 

  18. reveal_type(np.intersect1d(AR_i8, AR_i8))  # E: ndarray[Any, dtype[{int64}]]
    19. 

  19. reveal_type(np.intersect1d(AR_M, AR_M, assume_unique=True))  # E: ndarray[Any, dtype[datetime64]]
    20. 

  20. reveal_type(np.intersect1d(AR_f8, AR_i8))  # E: ndarray[Any, dtype[Any]]
    21. 

  21. reveal_type(np.intersect1d(AR_f8, AR_f8, return_indices=True))  # E: Tuple[ndarray[Any, dtype[{float64}]], ndarray[Any, dtype[{intp}]], ndarray[Any, dtype[{intp}]]]
    22. 

  22. 

  23. reveal_type(np.setxor1d(AR_i8, AR_i8))  # E: ndarray[Any, dtype[{int64}]]
    24. 

  24. reveal_type(np.setxor1d(AR_M, AR_M, assume_unique=True))  # E: ndarray[Any, dtype[datetime64]]
    25. 

  25. reveal_type(np.setxor1d(AR_f8, AR_i8))  # E: ndarray[Any, dtype[Any]]
    26. 

  26. 

  27. reveal_type(np.in1d(AR_i8, AR_i8))  # E: ndarray[Any, dtype[bool_]]
    28. 

  28. reveal_type(np.in1d(AR_M, AR_M, assume_unique=True))  # E: ndarray[Any, dtype[bool_]]
    29. 

  29. reveal_type(np.in1d(AR_f8, AR_i8))  # E: ndarray[Any, dtype[bool_]]
    30. 

  30. reveal_type(np.in1d(AR_f8, AR_LIKE_f8, invert=True))  # E: ndarray[Any, dtype[bool_]]
    31. 

  31. 

  32. reveal_type(np.isin(AR_i8, AR_i8))  # E: ndarray[Any, dtype[bool_]]
    33. 

  33. reveal_type(np.isin(AR_M, AR_M, assume_unique=True))  # E: ndarray[Any, dtype[bool_]]
    34. 

  34. reveal_type(np.isin(AR_f8, AR_i8))  # E: ndarray[Any, dtype[bool_]]
    35. 

  35. reveal_type(np.isin(AR_f8, AR_LIKE_f8, invert=True))  # E: ndarray[Any, dtype[bool_]]
    36. 

  36. 

  37. reveal_type(np.union1d(AR_i8, AR_i8))  # E: ndarray[Any, dtype[{int64}]]
    38. 

  38. reveal_type(np.union1d(AR_M, AR_M))  # E: ndarray[Any, dtype[datetime64]]
    39. 

  39. reveal_type(np.union1d(AR_f8, AR_i8))  # E: ndarray[Any, dtype[Any]]
    40. 

  40. 

  41. reveal_type(np.setdiff1d(AR_i8, AR_i8))  # E: ndarray[Any, dtype[{int64}]]
    42. 

  42. reveal_type(np.setdiff1d(AR_M, AR_M, assume_unique=True))  # E: ndarray[Any, dtype[datetime64]]
    43. 

  43. reveal_type(np.setdiff1d(AR_f8, AR_i8))  # E: ndarray[Any, dtype[Any]]
    44. 

  44. 

  45. reveal_type(np.unique(AR_f8))  # E: ndarray[Any, dtype[{float64}]]
    46. 

  46. reveal_type(np.unique(AR_LIKE_f8, axis=0))  # E: ndarray[Any, dtype[Any]]
    47. 

  47. reveal_type(np.unique(AR_f8, return_index=True))  # E: Tuple[ndarray[Any, dtype[{float64}]], ndarray[Any, dtype[{intp}]]]
    48. 

  48. reveal_type(np.unique(AR_LIKE_f8, return_index=True))  # E: Tuple[ndarray[Any, dtype[Any]], ndarray[Any, dtype[{intp}]]]
    49. 

  49. reveal_type(np.unique(AR_f8, return_inverse=True))  # E: Tuple[ndarray[Any, dtype[{float64}]], ndarray[Any, dtype[{intp}]]]
    50. 

  50. reveal_type(np.unique(AR_LIKE_f8, return_inverse=True))  # E: Tuple[ndarray[Any, dtype[Any]], ndarray[Any, dtype[{intp}]]]
    51. 

  51. reveal_type(np.unique(AR_f8, return_counts=True))  # E: Tuple[ndarray[Any, dtype[{float64}]], ndarray[Any, dtype[{intp}]]]
    52. 

  52. reveal_type(np.unique(AR_LIKE_f8, return_counts=True))  # E: Tuple[ndarray[Any, dtype[Any]], ndarray[Any, dtype[{intp}]]]
    53. 

  53. reveal_type(np.unique(AR_f8, return_index=True, return_inverse=True))  # E: Tuple[ndarray[Any, dtype[{float64}]], ndarray[Any, dtype[{intp}]], ndarray[Any, dtype[{intp}]]]
    54. 

  54. reveal_type(np.unique(AR_LIKE_f8, return_index=True, return_inverse=True))  # E: Tuple[ndarray[Any, dtype[Any]], ndarray[Any, dtype[{intp}]], ndarray[Any, dtype[{intp}]]]
    55. 

  55. reveal_type(np.unique(AR_f8, return_index=True, return_counts=True))  # E: Tuple[ndarray[Any, dtype[{float64}]], ndarray[Any, dtype[{intp}]], ndarray[Any, dtype[{intp}]]]
    56. 

  56. reveal_type(np.unique(AR_LIKE_f8, return_index=True, return_counts=True))  # E: Tuple[ndarray[Any, dtype[Any]], ndarray[Any, dtype[{intp}]], ndarray[Any, dtype[{intp}]]]
    57. 

  57. reveal_type(np.unique(AR_f8, return_inverse=True, return_counts=True))  # E: Tuple[ndarray[Any, dtype[{float64}]], ndarray[Any, dtype[{intp}]], ndarray[Any, dtype[{intp}]]]
    58. 

  58. reveal_type(np.unique(AR_LIKE_f8, return_inverse=True, return_counts=True))  # E: Tuple[ndarray[Any, dtype[Any]], ndarray[Any, dtype[{intp}]], ndarray[Any, dtype[{intp}]]]
    59. 

  59. reveal_type(np.unique(AR_f8, return_index=True, return_inverse=True, return_counts=True))  # E: Tuple[ndarray[Any, dtype[{float64}]], ndarray[Any, dtype[{intp}]], ndarray[Any, dtype[{intp}]], ndarray[Any, dtype[{intp}]]]
    60. 

  60. reveal_type(np.unique(AR_LIKE_f8, return_index=True, return_inverse=True, return_counts=True))  # E: Tuple[ndarray[Any, dtype[Any]], ndarray[Any, dtype[{intp}]], ndarray[Any, dtype[{intp}]], ndarray[Any, dtype[{intp}]]]
    61.