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92 lines
3.4 KiB
Python
92 lines
3.4 KiB
Python
import numpy as np
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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[np.ndarray, np.ndarray,]: ... # np.ndarray[np.intp] # np.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 = True,
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) -> tuple[np.ndarray, np.ndarray,]: ... # np.ndarray[np.intp] # np.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[np.ndarray, np.ndarray,]: ... # np.ndarray[np.intp] # np.ndarray[np.intp]
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def ffill_indexer(
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indexer: np.ndarray, # const intp_t[:]
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) -> np.ndarray: ... # np.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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) -> np.ndarray: ... # np.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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np.ndarray, # np.ndarray[np.intp]
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np.ndarray, # np.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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np.ndarray, # np.ndarray[np.intp]
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np.ndarray, # np.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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np.ndarray, # np.ndarray[np.intp]
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np.ndarray, # np.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 = True,
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tolerance=None,
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) -> tuple[np.ndarray, np.ndarray,]: ... # np.ndarray[np.intp] # np.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 = True,
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tolerance=None,
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) -> tuple[np.ndarray, np.ndarray,]: ... # np.ndarray[np.intp] # np.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 = True,
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tolerance=None,
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) -> tuple[np.ndarray, np.ndarray,]: ... # np.ndarray[np.intp] # np.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 = True,
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tolerance=None,
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) -> tuple[np.ndarray, np.ndarray,]: ... # np.ndarray[np.intp] # np.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 = True,
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tolerance=None,
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) -> tuple[np.ndarray, np.ndarray,]: ... # np.ndarray[np.intp] # np.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 = True,
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tolerance=None,
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) -> tuple[np.ndarray, np.ndarray,]: ... # np.ndarray[np.intp] # np.ndarray[np.intp]
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