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from ncls.src.ncls import NCLS64
from ncls.src.ncls32 import NCLS32
import numpy as np
def NCLS(starts, ends, ids):
if isinstance(starts, list) or "pandas" in str(type(starts)):
starts, ends, ids = [np.array(s) for s in [starts, ends, ids]]
if starts.dtype == np.int64:
return NCLS64(starts, ends, ids)
elif starts.dtype == np.int32:
return NCLS32(starts, ends, ids)
else:
raise Exception("Starts/Ends not int64 or int32: " + str(starts.dtype))
def FNCLS(starts, ends, ids):
from ncls.src.fncls import FNCLS
if isinstance(starts, list) or "pandas" in str(type(starts)):
starts, ends, ids = [np.array(s) for s in [starts, ends, ids]]
if starts.dtype == np.double:
return FNCLS(starts, ends, ids)
else:
raise Exception("Starts/Ends not double: " + str(starts.dtype))
from ncls.version import __version__
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