native_nearest_value clear solution for Nearest Value by Jon_Red - python coding challenges

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native_nearest_value solution in Clear category for Nearest Value by Jon_Red

def nearest_value(values:set,one:int)->int:
    return min(values,key=lambda x:abs(x-one+.1))


if __name__ =='__main__':
    # self-checks
    assert nearest_value({4,7,10,11,12,17},9)==10
    assert nearest_value({4,7,10,11,12,17},8)==7
    assert nearest_value({4,8,10,11,12,17},9)==8
    assert nearest_value({4,9,10,11,12,17},9)==9
    assert nearest_value({4,7,10,11,12,17},0)==4
    assert nearest_value({4,7,10,11,12,17},100)==17
    assert nearest_value({5,10,8,12,89,100},7)==8
    assert nearest_value({-1,2,3},0)==-1

July 10, 2020

Comments:

mohammad.moaddi on Aug. 25, 2020, 1:57 p.m.
Can you explain? I did not know min() could take a key

Jon_Red on Aug. 27, 2020, 6:42 p.m.
The key parameter of the min() and max() functions allows you to modify the values before comparison. A simple example would be: <pre class='brush: python'>values=['ab','abc','bc','c'] assert max(values,key=len)=='abc' assert min(values,key=len)=='c' </pre> You can also pass in your own lambda functions in this manner. <pre class='brush: python'>values=[1,4,7,10,13,16,19] one=12 myFunction=lambda x:abs(x-one+.1) assert min(values,key=myFunction)==13 </pre> The (x-one) gets me the closest value and (x-one+.1) makes sure the lowest value is selected when two values are the same distance from the target.

mohammad.moaddi on Aug. 30, 2020, 6:30 a.m.
Wow that is so helpful. Thanks a lot

ET_N_Lai on Sept. 8, 2020, 7:36 a.m.
GOOD

Different kind of sets

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