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FOSSE.py
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FOSSE.py
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import pandas as pd
#By Romney Duncan For CSC 485B
# Function That takes a dict and returns a sorted list
def to_sorted_list(dict,metric):
ls = [[0],[0]]
i = 0
for x in dict:
#print(ls)
while(dict[x][metric] < ls[i][0]):
i = i + 1
if(i <len(ls) - 1):
ls.insert(i,[dict[x][0],dict[x][1],x])
elif(len(ls) == 1):
ls[0] = ([dict[x][0],dict[x][1],x])
else:
ls.append([dict[x][0],[dict][x][1],x])
i = 0
return ls
#Function that takes list data and returns with every possible tuple pair from the list
def to_tuples(ls):
blacklist = []
tuplelist = []
floor = 1
for j in range(0,len(ls) - 1):
for i in range(floor,len(ls) - 1):
if(ls[j] != ls[i]):
x = (ls[j],ls[i])
#print(x)
tuplelist.append(x)
floor = floor + 1
return ls
#Reading the data
df = pd.read_csv (r'all_eggs_data.csv')
df = df.to_dict()
ls1 = list(df["name"].values())
ls2 = list((df["owners"].values()))
ls3 = list(df["downloads"].values())
ls4 = list(df["release_year"].values())
ls = []
for i in range(0,len(ls1) -1):
ls.append((ls1[i],ls2[i],ls3[i],ls4[i]))
#print(ls[i])
lw = {}
n = {}
hmm = []
devcons = []
#Putting sections of data into their unique categories
for x in ls:
e = x[1].split(',')
if(len(e) == 1):
d = e[0]
try:
lw[d][0] = lw[d][0] + x[2]
lw[d][1].append(x[0])
except KeyError:
lw[d] = [x[2],[str(x[0])]]
if(len(e) > 1):
devcons.append(e)
for element in e:
hmm.append(element)
try:
n[element][0] = n[element][0] + x[2]
n[element][1].append(x[0])
except KeyError:
n[element] = [x[2],[str(x[0])]]
for x in hmm:
try:
del(lw[x])
except:
pass
#print(devcons)
#Gathering information from the unique categories
unique_connections = []
for x in devcons:
temp = to_tuples(x)
if temp not in unique_connections:
unique_connections.append(temp)
print(len(unique_connections))
temp = []
total_cons = 0
for x in devcons:
total_cons = total_cons + len(x)
print(total_cons)
print(len(unique_connections) / len(lw))
solos = 0
odf = {}
for x in lw:
if len(lw[x][1]) == 1:
solos = solos + 1
odf[x] = lw[x]
for key in odf:
del(lw[key])
for x in n:
if len(n[x][1]) == 1:
solos = solos + 1
print(len(odf))
oo = to_sorted_list(odf,0)
ll = to_sorted_list(lw,0)
nn = to_sorted_list(n,0)
top = 0
pop = 0
slop = 0
top5p = []
j,k,l = 0,0,0
for i in range(0,16090):
if(oo[j][0] > ll[k][0] and oo[j][0] > nn[l][0]):
top5p.append(oo[j])
j = j + 1
elif(ll[k][0] > oo[j][0] and ll[k][0] > nn[l][0]):
top5p.append(ll[k])
k = k + 1
else:
top5p.append(nn[l])
l = l + 1
for i in range(0,len(top5p)):
top = top + top5p[i][0]
for i in range(j + 1, len(oo) - 1):
pop = pop + oo[i][0]
for i in range(k + 1, len(ll) - 1):
pop = pop + oo[j][0]
for i in range(l + 1, len(nn) - 1):
pop = pop + oo[j][0]
print(top)
print(pop)
print(len(oo))
for i in range(0,5):
print(ll[i])
print
print(len(oo))