Python 3.6 / my function changes my global variables - python-3.x

I am trying really hard for my function not to mess my global 'b' value because I wish to re-use that list in another similar function using sets but it seems that even not using the same name (y), they (b and y) are still bound together...
most of the print lines are for debugging only as I was not understanding what was happening.
What am I doing wrong?
import random
a = random.sample(range(1,25),8)
b = random.sample(range(1,25),11)
a.sort()
b.sort()
def list_rdup(x,y):
print('Loop remove duplicates:')
print('x:',x)
print('y:',y)
for i in x:
y.append(i)
y.sort()
print('y modified:',y)
c = []
for i in y:
if i in c:
pass
else:
c.append(i)
return c
print('a:',a)
print('b:',b)
print(list_rdup(a,b))
print('a:',a)
print('b:',b)
Output: we see a and b in their original state.. then I run the function and
print a and b again to show that b was modified in the process...
a: [1, 6, 10, 11, 12, 13, 17, 22]
b: [1, 2, 3, 7, 13, 16, 17, 19, 20, 21, 24]
Loop remove duplicates:
x: [1, 6, 10, 11, 12, 13, 17, 22]
y: [1, 2, 3, 7, 13, 16, 17, 19, 20, 21, 24]
y modified: [1, 1, 2, 3, 6, 7, 10, 11, 12, 13, 13, 16, 17, 17, 19, 20, 21, 22, 24]
[1, 2, 3, 6, 7, 10, 11, 12, 13, 16, 17, 19, 20, 21, 22, 24]
a: [1, 6, 10, 11, 12, 13, 17, 22]
b: [1, 1, 2, 3, 6, 7, 10, 11, 12, 13, 13, 16, 17, 17, 19, 20, 21, 22, 24]

The call list_rdup(a,b) simply passes the reference of a and b which are stored in x and y. So, any change in x and y will change a and b. If you do not want a and b to change make a copy by using b_copy = b.copy().

To avoid altering the elements, copy the array.
import random
a=[1, 6, 10, 11, 12, 13, 17, 22]
b=[1, 2, 3, 7, 13, 16, 17, 19, 20, 21, 24]
#a.sort()
#b.sort()
def list_rdup(x,y):
print('Loop remove duplicates:')
print('x:',x)
print('y:',y)
for i in x:
y.append(i)
y.sort()
print('y modified:',y)
c = []
for i in y:
if i in c:
pass
else:
c.append(i)
return c
print('a:',a)
print('b:',b)
print(list_rdup(a[:], b[:]))
print('a:',a)
print('b:',b)
a: [1, 6, 10, 11, 12, 13, 17, 22]
b: [1, 2, 3, 7, 13, 16, 17, 19, 20, 21, 24]
Loop remove duplicates:
x: [1, 6, 10, 11, 12, 13, 17, 22]
y: [1, 2, 3, 7, 13, 16, 17, 19, 20, 21, 24]
y modified: [1, 1, 2, 3, 6, 7, 10, 11, 12, 13, 13, 16, 17, 17, 19, 20, 21, 22, 24]
[1, 2, 3, 6, 7, 10, 11, 12, 13, 16, 17, 19, 20, 21, 22, 24]
a: [1, 6, 10, 11, 12, 13, 17, 22]
b: [1, 2, 3, 7, 13, 16, 17, 19, 20, 21, 24]
Also consider deep copying if you have non-primitive values in the array.

Related

remove element from the list then display list without element that remove

I have this nested list:
a = [[1, 3, 6, 11, 16, 21, 25, 28, 31, 32, 33, 34, 35, 36],
[1, 2, 5, 9, 15, 20, 24, 26, 30, 36],
[1, 3, 6, 11, 16, 21, 25, 29, 31, 32, 33, 34, 35, 36],
[1, 2, 4, 8, 14, 18, 23, 36],
[1, 2, 5, 9, 15, 20, 24, 27, 30, 36],
[1, 3, 6, 11, 16, 22, 25, 28, 31, 32, 33, 34, 35, 36],
[1, 3, 7, 12, 17, 36],
[1, 2, 4, 8, 14, 19, 23, 36],
[1, 2, 5, 10, 15, 20, 24, 26, 30, 36],
[1, 3, 6, 11, 16, 22, 25, 29, 31, 32, 33, 34, 35, 36],
[1, 2, 5, 10, 15, 20, 24, 27, 30, 36],
[1, 3, 6, 11, 16, 21, 25, 28, 31, 32, 33, 35, 36],
[1, 3, 6, 11, 16, 21, 25, 28, 31, 33, 34, 35,36],
[1, 3, 6, 11, 16, 21, 25, 29, 31, 32, 33, 35, 36]]
I need to choose max length of sublist in nested list, than compare item of sublist with nested list. If item in sublist equal then same item in nested list remove and in final print nested list without this item.
I hope I understand your question correctly.
You want input to be:
a = [[1, 3, 6, 11, 16, 21, 25, 28, 31, 32, 33, 34, 35, 36],
[1, 2, 5, 9, 15, 20, 24, 26, 30, 36],
[1, 3, 6, 11, 16, 21, 25, 29, 31, 32, 33, 34, 35, 36],
[1, 2, 4, 8, 14, 18, 23, 36],
[1, 2, 5, 9, 15, 20, 24, 27, 30, 36],
[1, 3, 6, 11, 16, 22, 25, 28, 31, 32, 33, 34, 35, 36],
[1, 3, 7, 12, 17, 36],
[1, 2, 4, 8, 14, 19, 23, 36],
[1, 2, 5, 10, 15, 20, 24, 26, 30, 36],
[1, 3, 6, 11, 16, 22, 25, 29, 31, 32, 33, 34, 35, 36],
[1, 2, 5, 10, 15, 20, 24, 27, 30, 36],
[1, 3, 6, 11, 16, 21, 25, 28, 31, 32, 33, 35, 36],
[1, 3, 6, 11, 16, 21, 25, 28, 31, 33, 34, 35, 36],
[1, 3, 6, 11, 16, 21, 25, 29, 31, 32, 33, 35, 36]]
We are removing
[1, 3, 6, 11, 16, 22, 25, 29, 31, 32, 33, 34, 35, 36]
and
[1, 3, 6, 11, 16, 21, 25, 29, 31, 32, 33, 34, 35, 36]
since they are of the same length.
The output should be:
a = [[1, 2, 5, 9, 15, 20, 24, 26, 30, 36],
[1, 2, 4, 8, 14, 18, 23, 36],
[1, 2, 5, 9, 15, 20, 24, 27, 30, 36],
[1, 3, 7, 12, 17, 36],
[1, 2, 4, 8, 14, 19, 23, 36],
[1, 2, 5, 10, 15, 20, 24, 26, 30, 36],
[1, 2, 5, 10, 15, 20, 24, 27, 30, 36],
[1, 3, 6, 11, 16, 21, 25, 28, 31, 32, 33, 35, 36],
[1, 3, 6, 11, 16, 21, 25, 28, 31, 33, 34, 35, 36],
[1, 3, 6, 11, 16, 21, 25, 29, 31, 32, 33, 35, 36]]
with the previous lists removed.
Your question was not worded clearly, but I hope this is what you wanted. Here is the code:
# assume a is not empty
d = {} # list of the max length -> number of occurrences in 2d array
# find the length of the longest list
maxLen = len(a[0])
for l in a:
if len(l) > maxLen:
maxLen = len(l)
# add lists of the same max length and their count to the dictionary
for l in a:
if len(l) == maxLen:
#convert list to string because python does not support list being key of a dictionary
l_string = str(l)
if l_string in d:
d[l_string] += 1
else:
d[l_string] = 1
# remove
for l_string in d:
while d[l_string] > 0:
# convert string back to list and remove
a.remove(eval(l_string))
d[l_string] -= 1
# test result if you want
for row in a:
print(row)

Description text in speech recognition

I'm trying to build my own speech recognition network. I understood how to pre-process audio. But I can't figure out the pre-processing of the text.
I have a alphabet:
alphabet = {'a': 1, 'b': 2, 'c': 3, 'd': 4, 'e': 5, 'f': 6, 'g': 7, 'h': 8, 'i': 9, 'j': 10, 'k': 11, 'l': 12, 'm': 13, 'n': 14,'o': 15, 'p': 16, 'q': 17, 'r': 18, 's': 19, 't': 20, 'u': 21, 'v': 22, 'w': 23, 'x': 24, 'y': 25, 'z': 26}
And I encode each letter of the sentence into a number (27 is a space):
array([list([27, 23, 8, 5, 14, 27, 8, 5, 27, 19, 16, 5, 1, 11, 19, 27, 9, 14, 27, 15, 21, 18, 27, 12, 1, 14, 7, 21, 1, 7, 5, 27, 9, 27, 3, 1, 14, 27, 9, 14, 20, 5, 18, 16, 18, 5, 20, 27, 23, 8, 1, 20, 27, 8, 5, 27, 8, 1, 19, 27, 19, 1, 9, 4, 27]),
list([27, 19, 15, 27, 14, 15, 23, 27, 9, 27, 6, 5, 1, 18, 27, 14, 15, 20, 8, 9, 14, 7, 27, 2, 5, 3, 1, 21, 19, 5, 27, 9, 20, 27, 23, 1, 19, 27, 20, 8, 15, 19, 5, 27, 15, 13, 5, 14, 19, 27, 20, 8, 1, 20, 27, 2, 18, 15, 21, 7, 8, 20, 27, 25, 15, 21, 27, 20, 15, 27, 13, 5, 27]),
list([27, 14, 9, 7, 8, 20, 27, 6, 5, 12, 12, 27, 1, 14, 4, 27, 1, 14, 27, 1, 19, 19, 15, 18, 20, 13, 5, 14, 20, 27, 15, 6, 27, 6, 9, 7, 8, 20, 9, 14, 7, 27, 13, 5, 14, 27, 1, 14, 4, 27, 13, 5, 18, 3, 8, 1, 14, 20, 19, 27, 5, 14, 20, 5, 18, 5, 4, 27, 1, 14, 4, 27, 5, 24, 9, 20, 5, 4, 27, 20, 8, 5, 27, 20, 5, 14, 20, 27]),
list([27, 9, 27, 8, 5, 1, 18, 4, 27, 1, 27, 6, 1, 9, 14, 20, 27, 13, 15, 22, 5, 13, 5, 14, 20, 27, 21, 14, 4, 5, 18, 27, 13, 25, 27, 6, 5, 5, 20, 27]),
list([27, 25, 15, 21, 27, 3, 1, 13, 5, 27, 19, 15, 27, 20, 8, 1, 20, 27, 25, 15, 21, 27, 3, 15, 21, 12, 4, 27, 12, 5, 1, 18, 14, 27, 1, 2, 15, 21, 20, 27, 25, 15, 21, 18, 27, 4, 18, 5, 1, 13, 19, 27, 19, 1, 9, 4, 27, 20, 8, 5, 27, 15, 12, 4, 27, 23, 15, 13, 1, 14, 27])],
dtype=object)
Here are 5 sentences.
I just create one network layer and try to transfer this data there in order to get a number corresponding to the letter.
model = Sequential()
model.add(Dense(27, input_shape=(20,), activation='softmax'))
model.compile(loss='mean_squared_error',optimizer='Adam', metrics=['accuracy'])
for X, y in batch(X_train, y_train, 5):
model.train_on_batch(X, y)
batch() just breaks X_train, y_train into batch.
5 is size of batch.
But when I try to start the network I get an error
Error when checking target: expected dense_25 to have shape (27,) but got array with shape (1,)
UPD:
I'm using MFCC for X
audio, sr = librosa.load(pathTrain+"\\"+str(file), mono=True, sr=None)
fileMFCC = librosa.feature.mfcc(audio)
mean_scale = np.mean(fileMFCC, axis=0)
std_scale = np.std(fileMFCC, axis=0)
fileMFCC = (fileMFCC - mean_scale[np.newaxis, :]) / std_scale[np.newaxis, :]
X is
[array([[-4.35889894, -4.35889894, -4.35455134, ..., -3.95851777,
-3.99308173, -4.05261022],
[ 0.22941573, 0.22941573, 0.31913073, ..., 1.87189324,
1.7987301 , 1.66804349],
[ 0.22941573, 0.22941573, 0.31165866, ..., -0.27962786,
-0.19009062, -0.13788484],
...,
[ 0.22941573, 0.22941573, 0.18657944, ..., 0.14699792,
0.12751924, 0.16724807],
[ 0.22941573, 0.22941573, 0.18478513, ..., 0.00674492,
-0.04570105, 0.01231168],
[ 0.22941573, 0.22941573, 0.18232521, ..., 0.2571599 ,
0.22477036, 0.09153304]])
etc.

DES implementation

I'm trying to programm the Data Encyption Standard on my own and I'm struggling to Programm the SBoxes. I know there is already a module to encrypt and decrypt with the DES but my teacher asked to programm it myself, so here is what i have:
import random
from re import findall
class DES:
def __init__(self):
self. Eingabe=""
self.Schluessel=""
self.NachrichtBinaer=""
self.Bitslinks=""
self.Bitsrechts=""
self.Teil1=""
self.Teil2=""
self.Subkey=""
self.pcschluessel=""
self.subkeyliste=[]
self.initialpermutation=""
self.liste1=[]
self.Bits48=""
self.ausgabesbox=[]
self.liste2=[]
def EingabeNachricht(self):
self.Eingabe=input("Geben Sie ein Wort ein:")
print ("Eingegebenes Wort: ",self.Eingabe)
def Bitumwandlung(self):
for i in range(0,len(self.Eingabe)):
self.NachrichtBinaer=self.NachrichtBinaer+bin(ord(self.Eingabe[i]))
self.NachrichtBinaer=self.NachrichtBinaer.replace("b","")
if len(self.NachrichtBinaer)<64:
self.NachrichtBinaer=self.NachrichtBinaer.rjust(64,"0")
self.NachrichtBinaer="0000000100100011010001010110011110001001101010111100110111101111"
print ("Nachricht in Binaer: ",self.NachrichtBinaer)
def Teilen(self):
self.Bitslinks=self.initialpermutation[:int(len(self.initialpermutation)/2)]
self.Bitsrechts=self.initialpermutation[int(len(self.initialpermutation)/2):]
print ("Teil links: ",self.Bitslinks)
print ("Teil rechts: ",self.Bitsrechts)
def SchluesselGenerieren(self):
#self.Schluessel= getrandbits(64)
self.Schluessel="0001001100110100010101110111100110011011101111001101111111110001"
def ippermutation(self):
ip = [57, 49, 41, 33, 25, 17, 9,1,
59, 51, 43, 35, 27, 19, 11, 3,
61, 53, 45, 37, 29, 21, 13, 5,
63, 55, 47, 39, 31, 23, 15, 7,
56, 48, 40, 32, 24, 16, 8, 0,
58, 50, 42, 34, 26, 18, 10, 2,
60, 52, 44, 36, 28, 20, 12, 4,
62, 54, 46, 38, 30, 22, 14, 6
]
for i in ip:
self.initialpermutation=self.initialpermutation+self.NachrichtBinaer[i]
print ("Erste Permutation: ",self.initialpermutation)
def Expandieren(self):
ExpandierenTabelle = [
31,0,1,2,3,4,
3,4,5,6,7,8,
7,8,9,10,11,12,
11,12,13,14,15,16,
15,16,17,18,19,20,
9,20,21,22,23,24,
3,24,25,26,27,28,
27,28,29,30,31,0]
for Elemente in ExpandierenTabelle:
self.Bits48 = self.Bits48 + self.Bitsrechts[Elemente]
print ("expandiert: ",self.Bits48)
def XOR(self,wert1,wert2):
antwort=wert1^wert2
return antwort
def SBox(self):
self.sbox=[
[[14, 4, 13, 1, 2, 15, 11, 8, 3, 10, 6, 12, 5, 9, 0, 7],
[0, 15, 7, 4, 14, 2, 13, 1, 10, 6, 12, 11, 9, 5, 3, 8],
[4, 1, 14, 8, 13, 6, 2, 11, 15, 12, 9, 7, 3, 10, 5, 0],
[15, 12, 8, 2, 4, 9, 1, 7, 5, 11, 3, 14, 10, 0, 6, 13]],
# S2
[[15, 1, 8, 14, 6, 11, 3, 4, 9, 7, 2, 13, 12, 0, 5, 10],
[3, 13, 4, 7, 15, 2, 8, 14, 12, 0, 1, 10, 6, 9, 11, 5],
[0, 14, 7, 11, 10, 4, 13, 1, 5, 8, 12, 6, 9, 3, 2, 15],
[13, 8, 10, 1, 3, 15, 4, 2, 11, 6, 7, 12, 0, 5, 14, 9]],
# S3
[[10, 0, 9, 14, 6, 3, 15, 5, 1, 13, 12, 7, 11, 4, 2, 8],
[13, 7, 0, 9, 3, 4, 6, 10, 2, 8, 5, 14, 12, 11, 15, 1],
[13, 6, 4, 9, 8, 15, 3, 0, 11, 1, 2, 12, 5, 10, 14, 7],
[1, 10, 13, 0, 6, 9, 8, 7, 4, 15, 14, 3, 11, 5, 2, 12]],
# S4
[[7, 13, 14, 3, 0, 6, 9, 10, 1, 2, 8, 5, 11, 12, 4, 15],
[13, 8, 11, 5, 6, 15, 0, 3, 4, 7, 2, 12, 1, 10, 14, 9],
[10, 6, 9, 0, 12, 11, 7, 13, 15, 1, 3, 14, 5, 2, 8, 4],
[3, 15, 0, 6, 10, 1, 13, 8, 9, 4, 5, 11, 12, 7, 2, 14]],
# S5
[[2, 12, 4, 1, 7, 10, 11, 6, 8, 5, 3, 15, 13, 0, 14, 9],
[14, 11, 2, 12, 4, 7, 13, 1, 5, 0, 15, 10, 3, 9, 8, 6],
[4, 2, 1, 11, 10, 13, 7, 8, 15, 9, 12, 5, 6, 3, 0, 14],
[11, 8, 12, 7, 1, 14, 2, 13, 6, 15, 0, 9, 10, 4, 5, 3]],
# S6
[[12, 1, 10, 15, 9, 2, 6, 8, 0, 13, 3, 4, 14, 7, 5, 11],
[10, 15, 4, 2, 7, 12, 9, 5, 6, 1, 13, 14, 0, 11, 3, 8],
[9, 14, 15, 5, 2, 8, 12, 3, 7, 0, 4, 10, 1, 13, 11, 6],
[4, 3, 2, 12, 9, 5, 15, 10, 11, 14, 1, 7, 6, 0, 8, 13]],
# S7
[[4, 11, 2, 14, 15, 0, 8, 13, 3, 12, 9, 7, 5, 10, 6, 1],
[13, 0, 11, 7, 4, 9, 1, 10, 14, 3, 5, 12, 2, 15, 8, 6],
[1, 4, 11, 13, 12, 3, 7, 14, 10, 15, 6, 8, 0, 5, 9, 2],
[6, 11, 13, 8, 1, 4, 10, 7, 9, 5, 0, 15, 14, 2, 3, 12]],
# S8
[[13, 2, 8, 4, 6, 15, 11, 1, 10, 9, 3, 14, 5, 0, 12, 7],
[1, 15, 13, 8, 10, 3, 7, 4, 12, 5, 6, 11, 0, 14, 9, 2],
[7, 11, 4, 1, 9, 12, 14, 2, 0, 6, 10, 13, 15, 3, 5, 8],
[2, 1, 14, 7, 4, 10, 8, 13, 15, 12, 9, 0, 3, 5, 6, 11]]
]
for z in range(len(self.sbox)):
for y in range(len(self.sbox[z])):
for x in range(len(self.sbox[z][y])):
ausserebits=self.liste2[x][z][0]+self.liste2[x][z][-1]
innerebits=self.liste2[x][z][1:5]
print ("innere: ",innerebits)
print ("aussere: ",ausserebits)
def pc1undteilen(self):
pc1 = [56,48,40,32,24,16,8,
0,57,49,41,33,25,17,
9,1,58,50,42,34,26,
18,19,2,59,51,43,35,
62,54,46,38,30,22,14,
6,61,53,45,37,29,21,
13,5,60,52,44,36,28,
20,2,4,27,19,11,3]
#Subkey = ""
for j in pc1:
self.Subkey = self.Subkey+self.Schluessel[j]
self.Teil1=self.Subkey[:int(len(self.Subkey)/2)]
self.Teil2=self.Subkey[int(len(self.Subkey)/2):]
print("Schluessel64 :",self.Subkey)
print("SchluesselTeil1 :",self.Teil1)
print("SchluesselTeil2 :",self.Teil2)
def rotationundpc2(self):
pc2 = [
13, 16, 10, 23, 0, 4,
2, 27, 14, 5, 20, 9,
22, 18, 11, 3, 25, 7,
15, 6, 26, 19, 12, 1,
40, 51, 30, 36, 46, 54,
29, 39, 50, 44, 32, 47,
43, 48, 38, 55, 33, 52,
45, 41, 49, 35, 28, 31]
rotation = [
1, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 1]
k=0
#schluesselliste
self.Teil1=list(self.Teil1)
self.Teil2=list(self.Teil2)
while k<16:
#rotation
u=0
while u < rotation[k]:
self.Teil1.append(self.Teil1[0])
del self.Teil1[0]
self.Teil2.append(self.Teil2[0])
del self.Teil2[0]
self.Teil1="".join(self.Teil1)
self.Teil2="".join(self.Teil2)
self.subschluessel=self.Teil1+self.Teil2
print("Teil1: ",self.Teil1)
print("Teil2: ",self.Teil2)
print ("Subschluessel: ",self.subschluessel)
self.Teil1=list(self.Teil1)
self.Teil2=list(self.Teil2)
u+=1
#pc2 und erstellung der 16 subkeys
for index2 in pc2:
self.subkeyliste.append(self.subschluessel[index2])
k+=1
while len(self.subkeyliste)>0:
self.liste1.append("".join(self.subkeyliste[0:48]))
del self.subkeyliste[0:48]
print ("Subkeyliste: ",self.liste1)
def sechsbitunterteilung(self):
for l in range(0,16):
self.liste2.append(findall("......",listenachxor[l]))
print ("liste2: ",self.liste2)
#objekt der klasse DES wird erstellt
listenachxor=[]
Krypto=DES()
#Schluesselgenerieren
Krypto.SchluesselGenerieren()
Krypto.pc1undteilen()
Krypto.rotationundpc2()
Krypto.EingabeNachricht()
Krypto.Bitumwandlung()
Krypto.ippermutation()
Krypto.Teilen()
Krypto.Expandieren()
for p in range(0,16):
listenachxor.append(bin(Krypto.XOR(int(Krypto.liste1[p],2),int(Krypto.Bits48,2))))
listenachxor[p]=listenachxor[p].replace("b","")
print ("listenachxor: ",listenachxor)
Krypto.sechsbitunterteilung()
Krypto.SBox()
By the way the problem is on this part of the programm, the rest just works fine:
for z in range(len(self.sbox)):
for y in range(len(self.sbox[z])):
for x in range(len(self.sbox[z][y])):
ausserebits=self.liste2[x][z][0]+self.liste2[x][z][-1]
innerebits=self.liste2[x][z][1:5]
print ("innere: ",innerebits)
print ("aussere: ",ausserebits)

understanding behavior of mapping to an array

When does map modify an array in place? I know the preferred way to iterate over an array is with a list comprehension, but I'm preparing an algorithm for ipyparallel, which apparently uses the map function. Each row of my array is a set of model inputs, and I want to use map, ultimately in parallel, to run the model for each row. I'm using Python 3.4.5 and Numpy 1.11.1. I need these versions for compatibility with other packages.
This simple example creates a list and leaves the input array intact, as I expected.
grid = np.arange(25).reshape(5,5)
grid
array([[ 0, 1, 2, 3, 4],
[ 5, 6, 7, 8, 9],
[10, 11, 12, 13, 14],
[15, 16, 17, 18, 19],
[20, 21, 22, 23, 24]])
def f(g):
return g + 1
n = list(map(f, grid))
grid
array([[ 0, 1, 2, 3, 4],
[ 5, 6, 7, 8, 9],
[10, 11, 12, 13, 14],
[15, 16, 17, 18, 19],
[20, 21, 22, 23, 24]])
But when the function modifies a slice of the input row, the array is modified in place. Can anyone explain this behavior?
def f(g):
g[:2] = g[:2] + 1
return g
n = list(map(f, grid))
grid
array([[ 1, 2, 2, 3, 4],
[ 6, 7, 7, 8, 9],
[11, 12, 12, 13, 14],
[16, 17, 17, 18, 19],
[21, 22, 22, 23, 24]])

How to get non repeating random integers

I am trying to get numbers between 0 and 25 assigned to 26 things on a list but cannot be repeated I am assuming that you would use and if and else statement but this is what I have so far
def f():
a=[0]*26
for x in a:
b=randrange(0,26)
a[b]=randrange(0,26)
return(a)
print(f())
Make a list of numbers 0..25 and shuffle it:
>>> import random
>>> a = list(range(26))
>>> a
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 2
2, 23, 24, 25]
>>> random.shuffle(a)
>>> a
[11, 3, 17, 0, 20, 13, 24, 21, 4, 12, 14, 1, 22, 18, 5, 8, 6, 10, 9, 25, 23, 19,
16, 7, 2, 15]

Resources