lterm | small script built to install a bash hook | Command Line Interface library
kandi X-RAY | lterm Summary
kandi X-RAY | lterm Summary
lterm is a small script built to install a bash hook for full terminal logging. I use this on Red Team engagments to track down and log issues. This is very helpful for backup of crictical data you may lose do to powerloss etc.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- parse command line arguments
- Install bash rc hook .
- Removes the RC logging script .
- Execute the command .
- Check if install is in RC script .
- Initialize the CLI .
- Run lterm command
lterm Key Features
lterm Examples and Code Snippets
Lines of Code : 15License : Strong Copyleft (GPL-3.0)
Copy$ lterm.py -h
usage: lterm.py [-i] [-l /root/test/] [-r] [-v] [-b]
lterm is utility to log all bash windows opened by any user on the system.
This offten is useful for data logging on critical systems.
optional arguments:
-i Install $ git clone https://github.com/killswitch-GUI/zlib_wrapper.git
$ python setup.py install
$ pip install lterm
Community Discussions
Trending Discussions on lterm
QUESTION
I´m using a Dahua Facial terminal and it has a API like (CGI style) and a SDK. i asked some questions about dll convertions, but now i´m trying to use de API too.
The API to monitoring the events handled by Facial is
Is a multipart/x-mixed-replace response how return a first bondary as text/plain with the event data and a bondary with a image/jpeg with the snapshot of the event.
Using the info online about Indy and some useful posts made by Lebeau i cad read the text data using idHttp.IoHanlder.ReadLn(IndyTextEncoding_UTF8)
I tryed to read the next bondary (image) with idHttp.IOHandler.ReadByte, ReadBytes, ReadStream but not sucess.
Here is the response using idHttp.IoHandler.ReadLn
...ANSWER
Answered 2021-Mar-21 at 06:33What you are asking for can be done with TIdHTTP, but it takes some extra work. Details are in the following blog article on Indy's website:
https://www.indyproject.org/2014/03/05/new-tidhttp-honoreadmultipartmime-flag/
In a nutshell, you need to enable the hoNoReadMultipartMIME flag in the TIdHTTP.HTTPOptions property, so that TIdHTTP.Get() won't try to read the MIME data from the TIdHTTP.IOHandler after receiving the HTTP headers. That will allow you to read the MIME data yourself. You can use Indy's TIdMessageDecoderMIME class to help with that reading. There is a code example provided in the blog article.
QUESTION
"aggregations" : {
"filter#count_stats" : {
"doc_count" : 30,
"lterms#Name1" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : 53986,
"doc_count" : 2,
"sterms#Name2" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : "Soft",
"doc_count" : 7,
},
{
"key" : "Health",
"doc_count" : 5
},
]
}
},
{
"key" : 40127,
"doc_count" : 1,
"sterms#Name3" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : "XYZ",
"doc_count" : 3
}
]
}
}
]
}
}
}
ANSWER
Answered 2021-Feb-07 at 17:00 IReadOnlyDictionary dictionary = new Dictionary();
var keyedAggregate1 = new KeyedBucket(dictionary) { Key = "Soft", DocCount = 7};
var keyedAggregate2 = new KeyedBucket(dictionary) { Key = "Health", DocCount = 8 };
var keyedAggregate3 = new KeyedBucket(dictionary) { Key = "XYZ", DocCount = 3 };
var backingListDeals1 = new List
{
keyedAggregate1,
keyedAggregate2
};
var backingListDeals2 = new List
{
keyedAggregate3
};
var bucketAggregate1 = new BucketAggregate()
{
Items = backingListDeals1,
DocCount = 2
};
var bucketAggregate2 = new BucketAggregate()
{
Items = backingListDeals2,
DocCount = 2
};
var backingDictionary = new Dictionary {{"count_stats", new BucketAggregate
{
Items = new List
{
new KeyedBucket(new Dictionary{{ "Name2", bucketAggregate1 } })
{
Key = "53986",
DocCount = 2
},
new KeyedBucket(new Dictionary{{ "Name2", bucketAggregate2 } })
{
Key = "40127",
DocCount = 1
}
}
}}};
var singleBucketAggregate = new SingleBucketAggregate(backingDictionary);
IReadOnlyDictionary backingDictionary = new Dictionary
{
{ "count_stats", singleBucketAggregate }
};
return new AggregateDictionary(backingDictionary);
QUESTION
I have this line of code in VB.net:
...ANSWER
Answered 2017-May-17 at 11:06Let's try and understand what the original code does by pulling the nested expression apart:
QUESTION
I am beginning to learn Julia after using Matlab for several years. I started by implementing a simple polynomial multiplication (without FFT) to try and understand the role of type stability. A big part of this project is the requirement for a fast polynomial multiplier. However, I have the following timings which I can't understand at all.
...ANSWER
Answered 2017-Nov-14 at 05:11Short answer: Your code is a bit odd, and so probably triggering garbage collection in unexpected ways, resulting in varied timings.
Long answer: I agree that the timings you are getting are a bit strange. I'm not completely sure I can nail down exactly what is causing the problem, but I'm 99% certain it is something to do with garbage collection.
So, your code is a bit odd, because you allow input arrays of any dimension, even though you then call the dot function (a BLAS routine for taking the dot product of two vectors). In case you didn't realise, if you want a vector, use Array{Float64,1}, and for a matrix Array{Float64,2} and so on. Or you could also uses the aliases Vector{Float64} and Matrix{Float64}.
The second odd thing I noticed is that in your test, you generate rand(1, N). This returns an Array{Float64,2}, i.e. a matrix. To get an Array{Float64, 1}, i.e. a vector, you would use rand(N). Then within your function you take views into your matrix, which are of size 1xN. Now, Julia uses column-major ordering, so using a 1xN object for a vector is going to be really inefficient, and is probably the source of your strange timings. Under the hood, I suspect the call to dot is going to involve converting these things into regular vectors of floats, since dot eventually feeds through to the underlying BLAS routine which will need this input type. All these conversions will mean plenty of temporary storage, which needs to be garbage collected at some point, and this will probably be the source of the varying timings (90% of the time, varied timings on the same code are the result of the garbage collector being triggered - and sometimes in quite unexpected ways).
So, there is probably several ways to improve the following, but my quick-and-dirty version of your function looks like this:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install lterm
Easy to setup and runs from any user global $PATH.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
