94 lines
3.3 KiB
Python
94 lines
3.3 KiB
Python
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import numpy as np
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from pandas._typing import npt
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def inner_join(
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left: np.ndarray, # const intp_t[:]
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right: np.ndarray, # const intp_t[:]
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max_groups: int,
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) -> tuple[npt.NDArray[np.intp], npt.NDArray[np.intp]]: ...
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def left_outer_join(
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left: np.ndarray, # const intp_t[:]
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right: np.ndarray, # const intp_t[:]
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max_groups: int,
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sort: bool = ...,
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) -> tuple[npt.NDArray[np.intp], npt.NDArray[np.intp]]: ...
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def full_outer_join(
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left: np.ndarray, # const intp_t[:]
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right: np.ndarray, # const intp_t[:]
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max_groups: int,
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) -> tuple[npt.NDArray[np.intp], npt.NDArray[np.intp]]: ...
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def ffill_indexer(
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indexer: np.ndarray, # const intp_t[:]
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) -> npt.NDArray[np.intp]: ...
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def left_join_indexer_unique(
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left: np.ndarray, # ndarray[join_t]
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right: np.ndarray, # ndarray[join_t]
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) -> npt.NDArray[np.intp]: ...
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def left_join_indexer(
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left: np.ndarray, # ndarray[join_t]
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right: np.ndarray, # ndarray[join_t]
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) -> tuple[
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np.ndarray, # np.ndarray[join_t]
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npt.NDArray[np.intp],
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npt.NDArray[np.intp],
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]: ...
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def inner_join_indexer(
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left: np.ndarray, # ndarray[join_t]
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right: np.ndarray, # ndarray[join_t]
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) -> tuple[
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np.ndarray, # np.ndarray[join_t]
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npt.NDArray[np.intp],
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npt.NDArray[np.intp],
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]: ...
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def outer_join_indexer(
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left: np.ndarray, # ndarray[join_t]
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right: np.ndarray, # ndarray[join_t]
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) -> tuple[
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np.ndarray, # np.ndarray[join_t]
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npt.NDArray[np.intp],
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npt.NDArray[np.intp],
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]: ...
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def asof_join_backward_on_X_by_Y(
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left_values: np.ndarray, # asof_t[:]
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right_values: np.ndarray, # asof_t[:]
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left_by_values: np.ndarray, # by_t[:]
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right_by_values: np.ndarray, # by_t[:]
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allow_exact_matches: bool = ...,
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tolerance: np.number | int | float | None = ...,
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) -> tuple[npt.NDArray[np.intp], npt.NDArray[np.intp]]: ...
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def asof_join_forward_on_X_by_Y(
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left_values: np.ndarray, # asof_t[:]
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right_values: np.ndarray, # asof_t[:]
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left_by_values: np.ndarray, # by_t[:]
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right_by_values: np.ndarray, # by_t[:]
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allow_exact_matches: bool = ...,
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tolerance: np.number | int | float | None = ...,
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) -> tuple[npt.NDArray[np.intp], npt.NDArray[np.intp]]: ...
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def asof_join_nearest_on_X_by_Y(
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left_values: np.ndarray, # asof_t[:]
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right_values: np.ndarray, # asof_t[:]
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left_by_values: np.ndarray, # by_t[:]
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right_by_values: np.ndarray, # by_t[:]
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allow_exact_matches: bool = ...,
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tolerance: np.number | int | float | None = ...,
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) -> tuple[npt.NDArray[np.intp], npt.NDArray[np.intp]]: ...
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def asof_join_backward(
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left_values: np.ndarray, # asof_t[:]
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right_values: np.ndarray, # asof_t[:]
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allow_exact_matches: bool = ...,
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tolerance: np.number | int | float | None = ...,
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) -> tuple[npt.NDArray[np.intp], npt.NDArray[np.intp]]: ...
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def asof_join_forward(
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left_values: np.ndarray, # asof_t[:]
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right_values: np.ndarray, # asof_t[:]
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allow_exact_matches: bool = ...,
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tolerance: np.number | int | float | None = ...,
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) -> tuple[npt.NDArray[np.intp], npt.NDArray[np.intp]]: ...
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def asof_join_nearest(
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left_values: np.ndarray, # asof_t[:]
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right_values: np.ndarray, # asof_t[:]
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allow_exact_matches: bool = ...,
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tolerance: np.number | int | float | None = ...,
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) -> tuple[npt.NDArray[np.intp], npt.NDArray[np.intp]]: ...
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