Looking for the most pythonic/graceful way of doing this:
def map_num_indexes(arr_len, tup):
ans = [0] * arr_len
for i in tup:
ans[i] = 1
return ans
print(map_num_indexes(4, (2, 3))) # [0, 0, 1, 1]
print(map_num_indexes(4, (1, 3))) # [0, 1, 0, 1]
A list comprehension will do:
def map_num_indexes(length, which):
unique_which = set(which)
return [1 if i in unique_which else 0 for i in range(length)]
Or, more implicitly:
def map_num_indexes(length, which):
unique_which = set(which)
return [int(i in unique_which) for i in range(length)]
You can also use numpy
:
import numpy as np
def map_num_indexes(length, which):
indices = np.arange(length)
return np.where(np.isin(indices, which), 1, 0)
Or, more imperatively:
def map_num_indexes(length, which):
a = np.zeros(length, dtype=np.int8)
a[np.asarray(which)] = 1
return a.tolist()
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