removing duplicate groups of n lines - python-3.x

Is there a way to find unique n lines group, and sorting them as well? for example the following file content:
GPO: Microsoft Office Settings v2021.06
Folder Id: Software\Policies\Microsoft\Office\16.0\access\security\trusted locations\location20\description
Value: 74, 0, 38, 0, 74, 0, 32, 0, 71, 0, 101, 0, 110, 0, 101, 0, 114, 0, 97, 0, 108, 0, 32, 0, 84, 0, 114, 0, 117, 0, 115, 0, 116, 0, 101, 0, 100, 0, 32, 0, 76, 0, 111, 0, 99, 0, 97, 0, 116, 0, 105, 0, 111, 0, 110, 0, 0, 0
State: Enabled
GPO: Google Chrome Settings v2022.02
Folder Id: Software\Policies\Google\Chrome\CookiesAllowedForUrls\144
Value: 91, 0, 42, 0, 46, 0, 93, 0, 104, 0, 108, 0, 100, 0, 46, 0, 99, 0, 104, 0, 0, 0
State: Enabled
GPO: Internet Explorer Policy Settings
Folder Id: Software\Policies\Microsoft\Windows\CurrentVersion\Internet Settings\DisableCachingOfSSLPages
Value: 0, 0, 0, 0
State: Enabled
GPO: Google Chrome Settings v2022.02
Folder Id: Software\Policies\Google\Chrome\CookiesAllowedForUrls\38
Value: 91, 0, 42, 0, 46, 0, 93, 0, 100, 0, 111, 0, 99, 0, 117, 0, 115, 0, 105, 0, 103, 0, 110, 0, 46, 0, 110, 0, 101, 0, 116, 0, 0, 0
State: Enabled
GPO: AnyConnect Settings
Folder Id: Software\Policies\Microsoft\Windows\QoS\Cisco AnyConnect\
Value: 67, 0, 105, 0, 115, 0, 99, 0, 111, 0, 74, 0, 97, 0, 98, 0, 98, 0, 101, 0, 114, 0, 46, 0, 101, 0, 120, 0, 101, 0, 0, 0
State: Enabled
GPO: AnyConnect Settings
Folder Id: Software\Policies\Microsoft\Windows\QoS\Cisco AnyConnect\
Value: 67, 0, 105, 0, 115, 0, 99, 0, 111, 0, 74, 0, 97, 0, 98, 0, 98, 0, 101, 0, 114, 0, 46, 0, 101, 0, 120, 0, 101, 0, 0, 0
State: Enabled
n=4, The GPO policy AnyConnect Settings appears multiple times, and has duplicate attributes (Folder Id, Value, State), after processing the file, it should look like this:
GPO: AnyConnect Settings
Folder Id: Software\Policies\Microsoft\Windows\QoS\Cisco AnyConnect\
Value: 67, 0, 105, 0, 115, 0, 99, 0, 111, 0, 74, 0, 97, 0, 98, 0, 98, 0, 101, 0, 114, 0, 46, 0, 101, 0, 120, 0, 101, 0, 0, 0
State: Enabled
GPO: Google Chrome Settings v2022.02
Folder Id: Software\Policies\Google\Chrome\CookiesAllowedForUrls\38
Value: 91, 0, 42, 0, 46, 0, 93, 0, 100, 0, 111, 0, 99, 0, 117, 0, 115, 0, 105, 0, 103, 0, 110, 0, 46, 0, 110, 0, 101, 0, 116, 0, 0, 0
State: Enabled
GPO: Google Chrome Settings v2022.02
Folder Id: Software\Policies\Google\Chrome\CookiesAllowedForUrls\144
Value: 91, 0, 42, 0, 46, 0, 93, 0, 104, 0, 108, 0, 100, 0, 46, 0, 99, 0, 104, 0, 0, 0
State: Enabled
GPO: Internet Explorer Policy Settings
Folder Id: Software\Policies\Microsoft\Windows\CurrentVersion\Internet Settings\DisableCachingOfSSLPages
Value: 0, 0, 0, 0
State: Enabled
GPO: Microsoft Office Settings v2021.06
Folder Id: Software\Policies\Microsoft\Office\16.0\access\security\trusted locations\location20\description
Value: 74, 0, 38, 0, 74, 0, 32, 0, 71, 0, 101, 0, 110, 0, 101, 0, 114, 0, 97, 0, 108, 0, 32, 0, 84, 0, 114, 0, 117, 0, 115, 0, 116, 0, 101, 0, 100, 0, 32, 0, 76, 0, 111, 0, 99, 0, 97, 0, 116, 0, 105, 0, 111, 0, 110, 0, 0, 0
State: Enabled
How can I programatically perform this.
Edit: Below is what I have right now:
import json
import re
GPOs = []
regexs = ['GPO:', 'Folder Id:', 'Value:', 'State:']
with open("administrative-templates-after.txt", mode="r") as after_template:
lines = after_template.readlines()
entry = []
for index in range(0, len(lines) - 1):
for regex in regexs:
if re.search(regex,lines[index]):
entry.append("%s %s" % (regex, lines[index].replace(regex, "").strip()))
if len(entry) == 4 or ( len(entry) == 3 and re.search('State:',entry[len(entry)-1])):
GPOs.append(entry)
entry = []
GPOs = list(dict.fromkeys(list(map(tuple, GPOs))))
with open("after_templates_unique.txt", "w") as fp:
json.dump(GPOs, fp, indent=2)
It works for now, first it groups the lines into a list of arrays, and removes the duplicate lines, but I feel like it can be optimized as right now it works by brute force.
Once I am able to find a better approach I will try and sort these groups.

Related

Python list, last element overwrites entire list

I am working on a program that reads logfiles in, in a weird format.
I have the following code reading from a number of logfiles
(logFiles)
It works fine to itterate through them and so on. The problem is that for some reason the last element that i append to the list dataList overwrites the entire list so all fields are the same..
def fetchDataFromLogFiles(colIndex, colNames, colType, logFiles):
dataList = []
rowchange = []
row = []
for i in range(0, len(colIndex)):
row.append(0)
rowchange.append(0)
for x in range(0, len(logFiles)):
print("fetching data from: ")
print(logFiles[x])
logFile = open(logFiles[x] , "r")
for x in range(0,4):
line = logFile.readline()
if not line:
break
else:
line = line.split(",")
TimeStamp = line[1]
rest = line[2:]
#TimeDate formatting
whiteSpaces = len(TimeStamp)- len(TimeStamp.lstrip())
TimeStamp = TimeStamp[whiteSpaces:]
TimeStampFormat = "%a %b %d %H:%M:%S %Y"
DT = datetime.datetime.strptime(TimeStamp, TimeStampFormat)
#print(type(DT))
#print(DT)
row[0] = DT
rowchange[0] +=1
for i in range(0, len(rest)):
rest[i] = rest[i].replace(" ","")
if(i%2 == 0):
try:
index = colIndex.index(rest[i])
rowchange[index] += 1
if(colType[index] == "Bool"):
if(rest[i+1] == "0"):
row[index] = False
#print(type(row[index]))
else:
row[index] = True
#print(type(row[index]))
elif(colType[index] == "Short"):
row[index] = int(rest[i+1])
#print(type(row[index]))
else:
row[index] = rest[i+1]
except:
continue
print(x)
print(row[0])
dataList.append(row)
print(dataList[x][0])
logFile.close()
print("file closed")
for x in range (0,len(dataList)):
print(dataList[x][0])
return dataList
Debug print output as follows to show what i mean
0
2022-01-24 04:57:39
2022-01-24 04:57:39
1
2022-01-24 04:57:39
2022-01-24 04:57:39
2
2022-01-24 04:57:39
2022-01-24 04:57:39
3
2022-01-24 04:57:40
2022-01-24 04:57:40
file closed
2022-01-24 04:57:40
2022-01-24 04:57:40
2022-01-24 04:57:40
2022-01-24 04:57:40
A couple of lines of log file:
$1, Mon Jan 24 04:57:39 2022,$2,10,$3,42,$4, 0,$5, 1, #0, 42, #1, 130, #2, 144, #3, 49, #4, 45, #5, 66, #6, 2975, #7, -3981, #8, 4028, #9, 3900, #10, 2480, #13, 4029, #16, 2930, #17, 2190, #20, 102, #21, 2, #24, 2900, #25, 2200, #26, 6, #27, 51, #30, 2898, #31, 0, #32, 0, #33, 150, #34, 511, #35, -2, #36, 22, #37, 549, #38, -2, #39, 22, #40, 60, #41, 45, #42, 218, #43, -306, #45, 236, #46, -152, #48, 100, #49, 0, #50, 100, #51, 0, #52, 137, #53, -200, #55, 137, #56, -64, #58, 7850, #59, 1, #60, 8300, #61, 1, #62, 100, #63, -1, #64, 60, #65, 88, #66, 86, #67, 108, #68, 1, #73, 1800, #74, 2500, #76, 0, #77, 0, #78, 0, #79, 0, #80, 0, #81, 173, #82, 174, #83, 0, #84, 0, #85, -11, #86, -100, #88, 400, #89, 2729, #90, 0, #91, 2762, #93, 5, #94, 15, #95, 11, #96, 99, #97, 30, #98, 0, #100, 0, #101, 0, #102, 0,#105, 1252, #106, 0, #107, 0, #108, 0,#109, 4029, #110, 0,#111, 3900,#112, 2480,#113, 2520,#114, 2200,#115, 2900, #116, 1, #117, 0, #118, 0, #119, 156, #120, 165, #121, 0, #123, 0, #124, 0, #126, 40, #127, 60, #128, 350, #129, 450, #130, 57,#131, 1740,#132, 1682, #133, 1, #134, 0, #135, 0, #136, 0, #137, 2, #138, 0, #141, 135, #142, 0,#150, 4800, #151, 0, #152, 0,#153, 4864, #154, 1, #155, 1, #156, 0, #157, 0, #158, 1, #160, 15, #161, 40, #162, 15, #163, 40, #164, 1, #165, 1, #166, 0,#170, 1000,#172, 3000, #173, 0, #175, 0, #179, 0, #180, 599, #181, 0, #182, 9, #183, 42, #184, 0, #185, 7, #186, 49, #187, 0, #188, 4, #189, 1, #190, 1,#191, 2261,#192, 1796, #193, 1, #194, 0, #197, 0,#199, 2000,#200, 10000, #201, 10, #202, 10,#203, 3000, #204, 0, #205, 900, #206, 0,#209, 1774, #210, 300, #211, 900,#212, 1800, #213, 100,#217, 3000,#218, 4500,#219, 1500,#220, 3000, #222, 60, #223, 9,#224, 3150, #225, 0, #226, 0, #231, 30, #232, 1, #233, 0, #234, 0, #235, 100, #236, 0, #237, 0, #240, 34, #241, 29, #251, 0,
$1, Mon Jan 24 04:57:39 2022,$2,10,$3,42,$4, 0,$5, 1, #8, 4029, #30, 2897, #82, 173, #141, 132,#153, 5120, #185, 8,
$1, Mon Jan 24 04:57:39 2022,$2,10,$3,42,$4, 0,$5, 1, #30, 2898, #91, 2761, #130, 17,#131, 1701,#132, 1683, #141, 130,#153, 5376, #155, 0, #185, 9,
$1, Mon Jan 24 04:57:40 2022,$2,10,$3,42,$4, 0,$5, 1, #7, -3982, #8, 4028, #89, 2731, #141, 128,#153, 5632, #185, 8,
After Ethans comment i edited the code to not use globals, but still have the same problem

How to delete values from a list using a for loop in my code below?

b=[2, 3, 0, 5, 0, 7, 0, 0, 0, 11, 0, 13, 0, 0, 0, 17, 0, 19, 0, 0, 0, 23, 0, 0, 0, 0, 0, 29, 0, 31, 0, 0, 0, 0, 0, 37, 0, 0, 0, 41, 0, 43, 0, 0, 0, 47, 0, 0, 0, 0, 0, 53, 0, 0, 0, 0, 0, 59, 0, 61, 0, 0, 0, 0, 0, 67, 0, 0, 0, 71, 0, 73, 0, 0, 0, 0, 0, 79, 0, 0, 0, 83, 0, 0, 0, 0, 0, 89, 0, 0, 0, 0, 0, 0, 0, 97, 0, 0, 0]
#b is a list of primes with composite numbers turned into zero!
#code to remove zeroes
for k in b:
if k==0:
del k
print(b)
I'm welcome to any suggestions that are reasonably simple since I'm a beginner and self-taught. If there's anything I'm doing horribly wrong, please do point that out as well. Thank You

I would use list comprehension to remove all occurences of 0:
b=[2, 3, 0, 5, 0, 7, 0, 0, 0, 11, 0, 13, 0, 0, 0, 17, 0, 19, 0, 0, 0, 23, 0, 0, 0, 0, 0, 29, 0, 31, 0, 0, 0, 0, 0, 37, 0, 0, 0, 41, 0, 43, 0, 0, 0, 47, 0, 0, 0, 0, 0, 53, 0, 0, 0, 0, 0, 59, 0, 61, 0, 0, 0, 0, 0, 67, 0, 0, 0, 71, 0, 73, 0, 0, 0, 0, 0, 79, 0, 0, 0, 83, 0, 0, 0, 0, 0, 89, 0, 0, 0, 0, 0, 0, 0, 97, 0, 0, 0]
#b is a list of primes with composite numbers turned into zero!
# Iterates through all the values and returns them unless they are 0
b = [x for x in b if not x == 0]
print(b)

Merging pickled .npz files in a desired format

I have multiple npz files which i want to merge into one npz.file with the format similar to "mnist.npz"
the format of mnist.npz is:
((array([[[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
...,
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0]],
[0, 0, 0, ..., 0, 0, 0]]], dtype=uint8),
array([5, 0, 4, ..., 5, 6, 8], dtype=uint8))
Here two arrays are merged into one big npz file.
My two npz arrays are:
x_array:
[[[252, 251, 253],
[151, 150, 152],
[ 28, 25, 27],
...,
[ 30, 25, 27],
[ 30, 25, 27],
[ 32, 27, 29]],
[ 23, 18, 20]],
[[ 50, 92, 163],
[ 55, 90, 163],
[ 75, 105, 176],
...,
[148, 197, 242],
[109, 157, 208],
[109, 165, 222]],
[[ 87, 104, 155],
[ 82, 112, 168],
...,
[ 29, 52, 105],
[ 30, 55, 111],
[ 36, 55, 106]]]
y_array:
[1, 1, 1, 1, 1, 1]
When i tried to merge my files, the output i got is:
(array([[[252, 251, 253],
[151, 150, 152],
[ 28, 25, 27],
...,
[ 30, 25, 27],
[ 30, 25, 27],
[ 32, 27, 29]],
[ 23, 18, 20]]], dtype=uint8), array([[[ 50, 92, 163],
[ 55, 90, 163],
[ 75, 105, 176],
...,
[148, 197, 242],
[109, 157, 208],
[109, 165, 222]],
[ 87, 104, 155],
[ 82, 112, 168],
...,
[ 29, 52, 105],
[ 30, 55, 111],
[ 36, 55, 106]]], dtype=uint8),1, 1, 1, 1, 1, 1)
So in the last line, my array is formated as
1, 1, 1, 1, 1, 1
instead of something like:
array([1, 1, 1, 1, 1, 1], dtype=uint8)
My code for merging two npz files is:
data = load('x_array.npz',allow_pickle=True)
lst = data.files
for item in lst:
x_train = data[item]
#print((x_item,x_train))
data1 = load('y_array.npz',allow_pickle=True)
lst1 = data1.files
for item in lst1:
y_train = data1[item]
out1 = (*x_train,*y_train)
np.savez('out1.npz',out1)
print(out1)
Can anyone please suggest how i can convert my second array of (1, 1, 1, 1, 1, 1) to array([1, 1, 1, 1, 1, 1], dtype=uint8)? Any suggestions are helpful

After going through my code i found out that by changing the line
out1 = (*x_train,*y_train)
to
out1 = (*x_train,y_train)

How to slice elements between other elements with python

i have list with numbers and i want to slice all the elements between numbers 192 that exist on the list and pass them to a list
my list
[192, 0, 1, 0, 1, 192, 12, 0, 5, 0, 1, 0, 1, 66, 218, 0, 10, 5, 115, 116, 97, 116, 115, 1, 108, 192, 20, 192, 53, 0, 1, 0, 1, 0, 0, 0, 162, 0, 4, 74, 125, 133, 155, 192, 53, 0, 1, 0, 1, 0, 0, 0, 162, 0, 4, 74, 125, 133, 156, 192, 53, 0, 1, 0, 1, 0, 0, 0, 162, 0, 4, 74, 125, 133, 154, 192, 53, 0, 1, 0, 1, 0, 0, 0, 162, 0, 4, 74, 125, 133, 157]
i want someting like this
[192, 0, 1, 0, 1 ]
[192, 12, 0, 5, 0, 1, 0, 1, 66, 218, 0, 10, 5, 115, 116, 97, 116, 115, 1, 108]
[192, 20, 192, 53, 0, 1, 0, 1, 0, 0, 0, 162, 0, 4, 74, 125, 133, 155]
until the end of the list.

Here's one possible way to do it:
# input list
lst = [192, 0, 1, 0, 1, 192, 12, 0, 5, 0, 1, 0, 1, 66, 218, 0, 10, 5, 115, 116, 97, 116, 115, 1, 108, 192, 20, 192, 53, 0, 1, 0, 1, 0, 0, 0, 162, 0, 4, 74, 125, 133, 155, 192, 53, 0, 1, 0, 1, 0, 0, 0, 162, 0, 4, 74, 125, 133, 156, 192, 53, 0, 1, 0, 1, 0, 0, 0, 162, 0, 4, 74, 125, 133, 154, 192, 53, 0, 1, 0, 1, 0, 0, 0, 162, 0, 4, 74, 125, 133, 157]
# list of indexes where 192 is found,
# plus one extra index for the final slice
indexes = [i for i, n in enumerate(lst) if n == 192] + [len(lst)]
# create the slices between consecutive indexes
[lst[indexes[i]:indexes[i+1]] for i in range(len(indexes) - 1)]
The result will be:
[[192, 0, 1, 0, 1],
[192, 12, 0, 5, 0, 1, 0, 1, 66, 218, 0, 10, 5, 115, 116, 97, 116, 115, 1, 108],
[192, 20],
[192, 53, 0, 1, 0, 1, 0, 0, 0, 162, 0, 4, 74, 125, 133, 155],
[192, 53, 0, 1, 0, 1, 0, 0, 0, 162, 0, 4, 74, 125, 133, 156],
[192, 53, 0, 1, 0, 1, 0, 0, 0, 162, 0, 4, 74, 125, 133, 154],
[192, 53, 0, 1, 0, 1, 0, 0, 0, 162, 0, 4, 74, 125, 133, 157]]

You can build a generator with itertools.groupby that uses 192's equality method as a key function, pair the output of the generator with zip and then use itertools.chain.from_iterable to join the pairs (the example below assumes your list is stored in variable l):
from itertools import groupby, chain
i = (list(g) for _, g in groupby(l, key=(192).__eq__))
[list(chain.from_iterable(p)) for p in zip(i, i)]
This returns:
[[192, 0, 1, 0, 1],
[192, 12, 0, 5, 0, 1, 0, 1, 66, 218, 0, 10, 5, 115, 116, 97, 116, 115, 1, 108],
[192, 20],
[192, 53, 0, 1, 0, 1, 0, 0, 0, 162, 0, 4, 74, 125, 133, 155],
[192, 53, 0, 1, 0, 1, 0, 0, 0, 162, 0, 4, 74, 125, 133, 156],
[192, 53, 0, 1, 0, 1, 0, 0, 0, 162, 0, 4, 74, 125, 133, 154],
[192, 53, 0, 1, 0, 1, 0, 0, 0, 162, 0, 4, 74, 125, 133, 157]]

How to convert a Uint8ClampedArray array into a png image in node.js?

I am using this library to read png images, but in general
https://www.npmjs.com/package/pngjs2
if I have a Uint8ClampedArray, a width and height of the array, how can I convert that and save it as a png image in node.js?
Thanks

You can use the same library to create a png image if the dimensions are known and the data is in the form of a Uint8ClampedArray. Example:
var fs = require('fs'),
PNG = require('pngjs2').PNG;
var img_width = 16;
var img_height = 16;
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img_png.pack().pipe(fs.createWriteStream('tick.png'))

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