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DS-1000 / 408 / I'm looking for a fast solution to compute minimum of the elements of an array…

Problem

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Problem:
I'm looking for a fast solution to compute minimum of the elements of an array which belong to the same index. 
Note that there might be negative indices in index, and we treat them like list indices in Python.
An example:
a = np.arange(1,11)
# array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10])
index = np.array([0,1,0,0,0,-1,-1,2,2,1])
Result should be
array([1, 2, 6])
Is there any recommendations?
A:
<code>
import numpy as np
a = np.arange(1,11)
index = np.array([0,1,0,0,0,-1,-1,2,2,1])
</code>
result = ... # put solution in this variable
BEGIN SOLUTION
<code>

library

Numpy

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Source and history

upstream_id / Original problem ID
408
task_id
1bf54461-99a3-550f-a0bf-f27962768c34
task_key
default--test--408
task_revision_id
1
config / split
default / test

Official source

initial import