rgb_scale = 255
cmyk_scale = 100
def rgb_to_cmyk(r,g,b):
if (r == 0) and (g == 0) and (b == 0):
return 0, 0, 0, cmyk_scale
# rgb [0,255] -> cmy [0,1]
c = 1 - r / float(rgb_scale)
m = 1 - g / float(rgb_scale)
y = 1 - b / float(rgb_scale)
min_cmy = min(c, m, y)
c = (c - min_cmy)
m = (m - min_cmy)
y = (y - min_cmy)
k = min_cmy
return c*cmyk_scale, m*cmyk_scale, y*cmyk_scale, k*cmyk_scale
def cmyk_to_rgb(c,m,y,k):
r = rgb_scale*(1.0-(c+k)/float(cmyk_scale))
g = rgb_scale*(1.0-(m+k)/float(cmyk_scale))
b = rgb_scale*(1.0-(y+k)/float(cmyk_scale))
return r,g,b
1. The General Market is Down This is for the most part the most evident reason that a stock is underestimated and happens when the large scale perspective of the economy is poor. It is helpful for financial specialists to have some fundamental apparatuses to esteem the general market so they can get ready as the market progresses toward becoming underestimated.
Answer:
def insSort(arr):
ct=0;
for i in range(1, len(arr)):
key = arr[i]
j = i-1
while j >=0 and key < arr[j] :
arr[j+1] = arr[j]
j -= 1
ct=ct+1;
arr[j+1] = key
return arr,ct;
print(insSort([2,1]))
Output of the program is also attached.
