Agfdhyk

I;m trying to sort rgb values based on a greedy algorithm that is meant to work by getting a random colour, check the distance between itself and another colour, and then when it finds the one with the shortest distance (euclidean) to itself, append that onto the new array/list.

I'm getting an error concerning the line col[l] not in colouringArray. The point of this line is to make sure colours that are appended to the new list aren't used again.

python

def greedy(cols):



    for i in range(len(cols)):

        col = [eval(j) for j in cols[i]]

        cols[i] = np.array(col)



    greedyResult =  #what will contain the result

    colourArray =



    resultIn = 



    randomColour = random.choice(cols) #make a random choice of colours

    colourArray.append(randomColour)



    greedyResult.append(colourArray)



    colouringArray = greedyResult



    resultIn.append(randomColour)



    print(colouringArray)



    for i in range(25 - 1):

        shortestDist = 25

        closestColour = ''





        for l in range(0,25):

            currPosition = colouringArray[-1]

            checkPosition = cols[l]





            distance = euc_distance(currPosition,checkPosition)

            print(colouringArray)

            print(colours[l])

            if cols[l] not in colouringArray:



                if distance < shortestDist:

                    shortestDist = distance

                    closestColour = cols[l]

        colouringArray.append(closestColour)



    print(colouringArray)

    return colouringArray





def euc_distance(x, y):

    maths = np.sum((x-y)**2)**0.5

    print('x', x)

    print('y', y)

    return maths

Error

    if cols[l] not in colouringArray:

ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

RGB values being loaded in from just a .txt file

0.9664535356921388 0.4407325991753527 0.007491470058587191

0.9109759624491242 0.939268997363764 0.5822275730589491

0.6715634814879851 0.08393822683708396 0.7664809327917963

0.23680977536311776 0.030814021726609964 0.7887727172362835

0.3460889655971231 0.6232814750391685 0.6158156951036152

0.14855463870828756 0.18309064740993164 0.11441296968868764

0.014618780486909122 0.48675154060475834 0.9649015609162157

0.06456228097718608 0.5410881855511303 0.46589855900830957

0.6014634495610515 0.08892882999066232 0.5790026861873665

0.26958550381944824 0.5564325605562156 0.6446342341782827

0.48103637136651844 0.35523914744298335 0.249152121361209

0.9335154980423467 0.45338801947649354 0.5301612069115903

0.019299566309716853 0.5081019257797922 0.005780237417743139

0.14376842759559538 0.47282692534740633 0.3773474407725964

0.05417519864614284 0.5875285081310694 0.1640032237419612

0.5573302374414681 0.1442457216019083 0.9373070846962247

0.7709799715197749 0.9569331223494054 0.14122776441649953

0.3053927082876986 0.03958962422796164 0.27678369479169207

0.8065125051156038 0.177343035278254 0.15457051471078964

0.9547186557023949 0.154551400089043 0.8338892941512318

0.04106280627180747 0.38618352833582825 0.3495923019636925

0.3417077927504538 0.8164630567142304 0.47593490813172823

0.7828902895224036 0.4708401253088451 0.8173440068581418

0.8815675986556064 0.43959639767963965 0.781063597792481

0.8147411602576974 0.29567891564250737 0.12387667430690597