gathered | Keep track of contacts and connects | Authentication library

I'm stuck to get data from gathered fact, using calculated data as part of query.

I am using 2.9 ansible and here is my task

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What I am trying to accomplish is to pass the correct value from php to a jquery function. What is the proper way to get that value to my jquery function so that I can use it. Here is an example of how I tried to pass the php variable to the javascript function. Of course that does not give the desired effect.

index.php User starts typing in username and live search displays matching usernames in dropdown

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I'm looking for anything that can help me deviate string GetRTTIClassName(IntPtr ProcessHandle, IntPtr StructAddress). The function would use another (third-party) app's process handle to get names of structures located at specific addresses in its memory (should there be found any).

All of RTTI questions/documentation I can find relate to it being used in the same application, and have nothing to do with process interop. The only thing close to what I'm looking for is this module in Cheat Engine's source code (which is also how I found out that it's possible in the first place), but it has over a dozen of nested language-specific dependencies, let alone the fact that Lazarus won't let me build it outside of the project context anyway.

If you know of code examples, libraries, documentation on what I've described, or just info on accessing another app's low-level metadata (pardon my French), please share them. If it makes a difference, I'm targeting C#.

Edit: from what I've gathered, the way runtime information is stored depends on the compiler, so I'll mention that the third-party app I'm "exploring" is a MSVC project.

As I understand, I need to:

1. Get address of the structure based on address of its instance;
2. Starting from structure address, navigate through pointers to find its name (possibly "decorated").

I've also found a more readable C# implementation and a bunch of articles on reversing (works for step 2), but I can't seem to find step 1.

I'll update/comment as I find more info, but right now I'm getting a headache just digging into this low-level stuff.

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I have recently sourced and curated a lot of reddit data from Google Bigquery.

The dataset looks like this:

Before passing this data to word2vec to create a vocabulary and be trained, it is required that I properly tokenize the 'body_cleaned' column.

I have attempted the tokenization with both manually created functions and NLTK's word_tokenize, but for now I'll keep it focused on using word_tokenize.

Because my dataset is rather large, close to 12 million rows, it is impossible for me to open and perform functions on the dataset in one go. Pandas tries to load everything to RAM and as you can understand it crashes, even on a system with 24GB of ram.

I am facing the following issue:

• When I tokenize the dataset (using NTLK word_tokenize), if I perform the function on the dataset as a whole, it correctly tokenizes and word2vec accepts that input and learns/outputs words correctly in its vocabulary.
• When I tokenize the dataset by first batching the dataframe and iterating through it, the resulting token column is not what word2vec prefers; although word2vec trains its model on the data gathered for over 4 hours, the resulting vocabulary it has learnt consists of single characters in several encodings, as well as emojis - not words.

To troubleshoot this, I created a tiny subset of my data and tried to perform the tokenization on that data in two different ways:

• Knowing that my computer can handle performing the action on the dataset, I simply did:

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I am new to python . i am trying to run the below code but the results are not as expected:

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My eventual goal is to transform thousands of pdfs into a corpus / document term matrix to conduct some topic modeling. I am using the pdftools package to import my pdfs and work with the tm package for preparing my data for text mining. I managed to import and transform one individual pdf, like this:

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I have something like this as Dataframe:

Identificator Date Status ID1 2021-05-02 19:55:43 OK ID2 2021-05-02 19:48:01 FAILED ID3 2021-05-02 19:47:53 OK ID1 2021-05-03 19:55:43 OK ID2 2021-05-03 20:48:01 OK ID1 2021-05-04 19:55:43 FAILED ID1 2021-05-04 20:55:43 OK ID2 2021-05-04 19:48:01 OK ID3 2021-05-04 19:47:53 OK

As you can see there is no event on 2021-05-03 for ID3. In such cases I would like to add 1 line for ID3 on 021-05-03 00:00:00 with Status "MISSED". So the result to be:

Identificator Date Status ID1 2021-05-02 19:55:43 OK ID2 2021-05-02 19:48:01 FAILED ID3 2021-05-02 19:47:53 OK ID1 2021-05-03 19:55:43 OK ID2 2021-05-03 20:48:01 OK ID3 2021-05-03 00:00:00 MISSED ID1 2021-05-04 19:55:43 FAILED ID1 2021-05-04 20:55:43 OK ID2 2021-05-04 19:48:01 OK ID3 2021-05-04 19:47:53 OK

All IDs will have at least 1 real event in the dataframe, so they can be gathered from the first column.

Thank you so much for your support!

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I'm looking for help with R. I want to add three columns to existing data frames that contain time series data and have a lot of NA values. The data is about test scores. The first column I want to add is the first test score available. In the second column, I want the last test score available. In the third column, I want to calculate the derivative for each row by dividing the difference between the first and last scores by the number of tests that have passed. Important is that some of these past tests have NA values but I still want to include these when dividing. However, NA values that come after the last available test score I don't want to count.

Some explanation of my data: A have a couple of data frames that all have test scores of different people. The different people are the rows and each column represents a test score. There are multiple test scores per person for the same test in the data frame. Column T1 shows their first score, T2 the second score, which was gathered a week later, and so on. Some people have started sooner than others and therefore have more test scores available. Also, some scores at the beginning and the middle are missing for various reasons. See the two example tables below where the index column is the actual index of the data frame and not a separate column. Some numbers are missing from the index (like 3) because this person had only NA values in their row, which I removed. It is important for me that the index stays this way.

Example 1 (test A):

INDEX T1 T2 T3 T4 T5 T6 1 NA NA NA 3 4 5 2 57 57 57 57 NA NA 4 44 NA NA NA NA NA 5 9 11 11 17 12 NA

Example 2 (test B):

INDEX T1 T2 T3 T4 1 NA NA NA 17 2 11 16 20 20 4 1 20 NA NA 5 20 20 20 20

My goal now is to add to these data frames the three columns mentioned before. For example 1 this would look like:

INDEX T1 T2 T3 T4 T5 T6 FirstScore LastScore Derivative 1 NA NA NA 3 4 5 3 5 0.33 2 57 57 57 57 NA NA 57 57 0 4 44 NA NA NA NA NA 44 44 0 5 9 11 11 17 12 NA 9 12 0.6

And for example 2:

INDEX T1 T2 T3 T4 FirstScore LastScore Derivative 1 NA NA NA 17 17 17 0 2 11 16 20 20 11 20 2.25 4 1 20 NA NA 1 20 9.5 5 20 20 20 20 20 20 0

I hope I have made myself clear and that someone can help me, thanks in advance!

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I have been working on a project using the ESP32 with the ESP-IDF that will check it's NVS memory for wifi credentials before starting the network stack. If it has said credentials, it will connect to the wifi network in STA mode, if it lacks them, it will launch as it's own AP to allow the user to send it the credentials over HTTP.

After manually putting my test credentials into NVS, I started working on the AP code. Once all the AP code and logic was complete, I manually wiped the flash memory with esptool to force the board to launch in that mode. Doing so worked fine, and I was able to send it the updated credentials over HTTP.

At this point, the board attempted to connect as STA upon reset, however, the SYSTEM_EVENT_STA_WPS_ER_PIN event kept being caught by the wifi event loop. The board has since only experienced this event and has been completely unable to connect to wifi since. To make matters stranger, even after rolling back to a previous version with git, the problem still persists.

main.c

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