Drop `_slice_from_time()`

pre_viz_calls
Tyler Goodlet 2022-12-06 15:43:44 -05:00
parent 90ac9a8368
commit c74fc888f2
1 changed files with 0 additions and 63 deletions

View File

@ -272,55 +272,6 @@ def ohlc_flatten(
return x, flat 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( def slice_from_time(
arr: np.ndarray, arr: np.ndarray,
start_t: float, start_t: float,
@ -437,20 +388,6 @@ def slice_from_time(
# ) # )
read_i_start = new_read_i_start 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]` # read-relative indexes: gives a slice where `shm.array[read_slc]`
# will be the data spanning the input time range `start_t` -> # will be the data spanning the input time range `start_t` ->
# `stop_t` # `stop_t`