Rats | adjudicational Trojan & a fullon userland RAT | Security library
kandi X-RAY | Rats Summary
kandi X-RAY | Rats Summary
Iris is an adjudicational Trojan & a fullon userland RAT, Targeting windows machine's, maid for Research purposes And as a resource Kit for ethical hackers. we begin with delivery methods, anti-virus evastion and continue on to local acceleration of privileges in order to get a privileged persistent on the target machine. in this Repo we will try to simulate a full on root-kit throw hiding our persistence mechanism of action and simulating a real targeted campaign against any company or retailer. i do not supply any binary's for any of the Rat components, nither forge certificate's or native executable's. on the other hand i will try to give as much information as possible on how to avoid getting hit by this kind of exploit, and ll' try to supply as many open resources as possible to implement your own tool, for ethical hacking purposes, and for anti-virus software writers.
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QUESTION
I would like to ask for some help with plotting prediction values from my model as well as the equations generated by the estimation of the lmer().
So, the data that I have is the mass volume of different rats across different days. Each rat has different time points where they took the measurement of that volume.
For rat 1 I have volume c(78,304,352,690,952,1250) at days c(89,110,117,124,131,138) that belong to country Chile
For rat 2 I have volume c(202,440,520,870,1380) at days c(75,89,96,103,110) that belong to country Chile.
For rat 3 I have volume c(186,370,620,850,1150) at days c(75,89,96,103,110) that belong to country Chile.
For rat 4 I have volume c(92,250,430,450,510,850,1000,1200) at days c(47,61,75,82,89,97,103,110) that belong to country England.
For rat 5 I have volume c(110,510,710,1200) at days c(47,61,75,82) that belong to country England.
For rat 6 I have volume c(115,380,480,540,560,850,1150,1350) at days c(47,61,75,82,89,97,103,110) that belong to country England.
So, then the model that I use is :
...ANSWER
Answered 2022-Feb-22 at 00:55It turned out to be easier to use predict
than broom.mixed::augment
.
(all combinations of Rat/Country/Days 0-150 (taking day up to 200 led to some extreme predictions that blew the vertical scale)
QUESTION
I got the following CSV sample
...ANSWER
Answered 2022-Feb-25 at 12:04Alasql lib can load the data file from server, parse it and put the result to array of JSON objects.
So, this is some example for you:
QUESTION
I would like to ask for some help with depicting the slopes generated by a lmer() model.
The data that I have is the mass volume of different rats across different days. Each rat has different time points where they took the measurement of that volume.
For rat 1 I have volume c(78,304,352,690,952,1250) at days c(89,110,117,124,131,138) that belong to country Chile
For rat 2 I have volume c(202,440,520,870,1380) at days c(75,89,96,103,110) that belong to country Chile.
For rat 3 I have volume c(186,370,620,850,1150) at days c(75,89,96,103,110) that belong to country Chile.
For rat 4 I have volume c(92,250,430,450,510,850,1000,1200) at days c(47,61,75,82,89,97,103,110) that belong to country England.
For rat 5 I have volume c(110,510,710,1200) at days c(47,61,75,82) that belong to country England.
For rat 6 I have volume c(115,380,480,540,560,850,1150,1350) at days c(47,61,75,82,89,97,103,110) that belong to country England.
The lmer model is:
...ANSWER
Answered 2022-Feb-22 at 22:12The first code chunk contains a cleaned up version that addresses all points of the question, using some input from the comments. I've left the original answer below which step by step builds to the final plot.
QUESTION
I am trying to align my text next to my image inside of the details tag in HTML, but when I try, it keeps putting it under the image instead of above.
The preferable end result is the image aligned on the right side of the image beside it.
N.B. i am trying to avoid the use of float to do the desired answer
relevant HTML/PHP code:
...ANSWER
Answered 2022-Feb-02 at 11:54Added a div for image and text and made it display flex. Hope this is what you're looking for.
QUESTION
Update: Was made aware it might be due to some error in the authentication process. Here's my auth:
...ANSWER
Answered 2021-Dec-15 at 23:18If youre using:
request.user
Your user isn't authenticated.
Therefore it will return all.
Ensure you are logged in and try again
QUESTION
Update 2, 13th Jan: After doing some bug searching and trying to post the object directly in the root API using json, I've come to the realisation that the image is what's giving me the posting error.
I used the HTML form to post an object and it gave me this error:
...ANSWER
Answered 2022-Jan-17 at 13:04The Anonymous User issue was solved by changing user = request.user
into user = request.user.id
And my second issue, "'Image' object is not callable" was due to me putting (required=False) in another set of parenthesis, as if I was calling an Image as a function. So I changed
QUESTION
I have a dataframe such as :
...ANSWER
Answered 2022-Jan-17 at 09:25Use Series.str.extract
with escape |
, because special regex character for get values between 2 |
:
QUESTION
I am just trying to up my understanding of plotting Pandas Series data using Booleans to mask out values I don't want. I am not sure that what I have is the correct or efficient way to do it.
Don't get me wrong, I do get the chart I am after but are my assumptions on the syntax correct?
All I want to do is plot the non zero values on my chart. I have not formatted the charts as I would normally as this was just a test of Booleans and masking data and not for creating report grade charts.
If I masked this as a Pandas DataFrame I would do the following if df1 were my DataFrame. I understand this and it makes sense that the df1[mask] returns my values as required
...ANSWER
Answered 2022-Jan-17 at 02:40Your understanding of booleans and masking is correct.
You can simplify your syntax a little though: if you take a look at the plotly.express.bar documentation, you'll see that the arguments 'x'
and 'y'
are optional. You don't need to pass 'x'
or 'y'
because by default plotly.express will create the bars using the index of the Series as x and the values of the Series as y. You can also pass the masked series in place of the entire series.
For example, this will produce the same bar chart:
QUESTION
I need to find the square root of a big.Rat. Is there a way to do it without losing (already existing) accuracy?
For example, I could convert the numerator and denominator into floats, get the square root, and then convert it back...
...ANSWER
Answered 2022-Jan-15 at 18:14The big.Float
type has a .Sqrt(x)
operation, and handles defining explicitly the precision you aim for. I'd try to use that and convert the result back to a Rat
with the same operations in your question, only manipulating big.Int
values.
QUESTION
UPDATE:
The original JSON output was this:
...ANSWER
Answered 2021-Dec-05 at 15:20In the serializer add a serializer field with a source
attribute for the user. for the many to many fields you have to set many=True which will return an list of all the related serialized objects
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