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Drop `_slice_from_time()`

epoch_indexing_and_dataviz_layer
Tyler Goodlet 2022-12-06 15:43:44 -05:00
parent f2c0987a04
commit 2669ced629
1 changed files with 0 additions and 63 deletions
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63
piker/data/_pathops.py
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@ -272,55 +272,6 @@ def ohlc_flatten(
return x, flat
@njit
def _slice_from_time(
arr: np.ndarray,
start_t: float,
stop_t: float,
) -> tuple[int, int]:
'''
Slice an input struct array to a time range and return the absolute
and "readable" slices for that array as well as the indexing mask
for the caller to use to slice the input array if needed.
'''
times = arr['time']
index = arr['index']
if (
start_t < 0
or start_t >= stop_t
):
return (
(
index[0],
index[-1],
),
(
0,
len(arr),
),
)
read_i_0: int = 0
read_i_last: int = 0
for i in range(times.shape[0]):
time = times[i]
if time >= start_t:
read_i_0 = i
break
for i in range(read_i_0, times.shape[0]):
time = times[i]
if time > stop_t:
read_i_last = time
break
return read_i_0, read_i_last
def slice_from_time(
arr: np.ndarray,
start_t: float,
@ -437,20 +388,6 @@ def slice_from_time(
# )
read_i_start = new_read_i_start
# old much slower non-bin-search ``numba`` approach..
# (
# read_i_start,
# read_i_stop,
# ) = _slice_from_time(
# arr,
# start_t,
# stop_t,
# )
# abs_i_start = int(index[0]) + read_i_0
# abs_i_stop = int(index[0]) + read_i_last
# if read_i_stop == 0:
# read_i_stop = times.shape[0]
# read-relative indexes: gives a slice where `shm.array[read_slc]`
# will be the data spanning the input time range `start_t` ->
# `stop_t`