How to slice elements between other elements with python - python-3.x

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]]

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

removing duplicate groups of n lines

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.

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)

PyTesseract image_to_data function isn't recognizing my image

I'm using pytesseract to return the coordinates of the objects in an image.
By using this piece of code:
import pytesseract
from pytesseract import Output
import cv2
img = cv2.imread('wine.jpg')
d = pytesseract.image_to_data(img, output_type=Output.DICT)
print(d)
for i in range(n_boxes):
(x, y, w, h) = (d['left'][i], d['top'][i], d['width'][i], d['height'][i])
cv2.rectangle(img, (x, y), (x + w, y + h), (0, 255, 0), 2)
cv2.imshow('img', img)
cv2.waitKey(0)
I get that:
{'level': [1, 2, 3, 4, 5, 5, 2, 3, 4, 5, 4, 5, 2, 3, 4, 5], 'page_num': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], 'block_num': [0, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3], 'par_num': [0, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1], 'line_num': [0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 2, 2, 0, 0, 1, 1], 'word_num': [0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1], 'left': [0, 485, 485, 485, 485, 612, 537, 537, 555, 555, 537, 537, 454, 454, 454, 454], 'top': [0, 323, 323, 323, 323, 324, 400, 400, 400, 400, 426, 426, 0, 0, 0, 0], 'width': [1200, 229, 229, 229, 115, 102, 123, 123, 89, 89, 123, 123, 296, 296, 296, 296], 'height': [900, 29, 29, 29, 28, 28, 40, 40, 15, 15, 14, 14, 892, 892, 892, 892], 'conf': ['-1', '-1', '-1', '-1', 58, 96, '-1', '-1', '-1', 95, '-1', 95, '-1', '-1', '-1', 95], 'text': ['', '', '', '', "JACOB'S", 'CREEK', '', '', '', 'SHIRAZ', '', 'CABERNET', '', '', '', '']}
[image used][]1
However, when I use this image:
I get that:
{'level': [1, 2, 3, 4, 5], 'page_num': [1, 1, 1, 1, 1], 'block_num': [0, 1, 1, 1, 1], 'par_num': [0, 0, 1, 1, 1], 'line_num': [0, 0, 0, 1, 1], 'word_num': [0, 0, 0, 0, 1], 'left': [0, 0, 0, 0, 0], 'top': [0, 162, 162, 162, 162], 'width': [1200, 0, 0, 0, 0], 'height': [900, 276, 276, 276, 276], 'conf': ['-1', '-1', '-1', '-1', 95], 'text': ['', '', '', '', '']}
Any idea why some image are working and some aren't?

It is mainly caused by different quality and contrast. it is much easier for the OCR engine to detect texts in desired images.
you can add a few pre-processing routines, including thresholding, blurring, histogram equalization and lots of other techniques. it is mainly subjective so I can not provide you with working code, it is more like trial and error to find the best technique for your scope
UPDATE:
here is a code that might help you
def preprocessing_typing_detection(inputImage):
inputImage= cv2.cvtColor(inputImage, cv2.COLOR_BGR2GRAY)
inputImage= cv2.Laplacian(inputImage, cv2.CV_8U)
return inputImage

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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