Write a function called closestMatch$($geneName$,$allScoresD$).$

Given a gene name and a dictionary of alignment scores, closestMatch returns the protein from the other species which is most similar $($has the highest alignment score$).$

To do this you will want to look for geneName in every key in allScoresD. The following syntax will be useful:

$>>>$allScoresD$.$keys$()$

This returns a list of keys $($here a list of tuples, since our keys are tuples$).$You can then search through this list for entries that have geneName in them. For this part, the following will likely be useful:

$>>>$T $=(\text{'}$spam$\text{'},$'pims'$)$

$>>>\text{'}$spam$\text{'}$ in T

True

$>>>\text{'}$donkey$\text{'}$ in T

False

Here are some examples of closestMatch with the sample data:

$>>>$allScoresD$=$allScores$($sampleHumanGeneList$,$sampleChickenGeneList$)$

$>>>$closestMatch$(\text{'}$c$19\text{'},$allScoresD$)$

$\text{'}$h$4\text{'}$

$>>>$closestMatch$(\text{'}$h$17\text{'},$allScoresD$)$

$\text{'}$c$8\text{'}$