stemming | PHP Stemming Collection | Natural Language Processing library

I have a folder that contains a group of files, and each file contains a text string, periods, and commas. I want to replace the periods and commas with spaces and print all the files afterwards.

I used Replace, but this error appeared to me:

I have a macro function defined as below.

I would like to encrypt a string in Go using AES-256, without any GCM processing, to compare against MQL4. I encounter issues when I try to encrypt special characters or numbers. Should I be pre-processing my plaintext somehow? I am new to Go so any help would be appreciated; my code is below this explanation.

If I encrypt the plaintext "This is a secret" and then decrypt the ciphertext (encoded to hex), I get the same result (i.e. "This is a secret"). pt is the variable name of the plaintext in the code below.

If I try to encrypt "This is a secret; 1234", the ciphertext has a group of zeroes at the end, and when I decrypt I only get "This is a secret". Similar ciphertext in MQL4 does not have zeroes at the end and decrypts correctly.

If I try to encrypt only "1234", I get build errors, stemming from "crypto/aes.(*aesCipherAsm).Encrypt(0xc0000c43c0, 0xc0000ac058, 0x4, 0x4, 0xc0000ac070, 0x4, 0x8) C:/Program Files/Go/src/crypto/aes/cipher_asm.go:60 +0x125"

Here is my code:

The python interpreter segfaults when running in a miniconda environment on a fresh install of ubuntu 20.04.2. This seems to happen intermittently, both while running "pip" during the conda setup of an environment and during the execution of code like below.

The segfault always occurs when running the following code, which reads texts from files and tokenizes the result. The segfault location changes from run to run. Also the exact same code can run on another computer with the same conda environment on a ubuntu 18.04.

The core dumps always points to some function in the unicodeobject.c file in python but the exact function changes from crash to crash. At least one crash has a clear dereferenced pointer 0x0 where the "unicode object" should be.

My guess is that something causes the python interpreter to throw away the pointed to unicode object while it is still being worked on causing a segfault. But any bug in the interpreter or NLTK should have been noticed by more users, and I cannot find anyone with similar issues.

Things tried that didn't fix the issue:

1. Reformatting and reinstalling ubuntu
2. Switched to ubuntu 18.04 (on this computer, another computer with 18.04 can run the code just fine)
3. Replacing hardware, to ensure that RAM, or SSD disk isn't broken
4. Changing to python versions 3.8.6, 3.8.8, 3.9.2
5. Cloning the conda environment from a working computer to the broken one

Attached is one stacktrace of the fault handler along with it's corresponding core dump stack trace from gdb.

having a strange issue when trying to run a simple "hello world" program with MPI.

I eventually want to use 100 processes for this MPI script I'm writing in python and was even able to run the hello world test earlier with up to 100 processes. However, now I keep encountering the same error when I try to run the script with ~50 processes.

The specific error I see seems to be stating:

ORTE_ERROR_LOG: The system limit on number of network connections a process can open was reached in file util/listener.c at line 321

After trying to research this, I understand that it has something to do with a process running out of file descriptors and it seems like the most common solutions state that a file is not closing properly. However, my issue here is, I'm not opening any files? My script is just:

print('I am process:', rank)

So what could the issue be stemming from here?

Working from a previous question asked. The main objective is reading a .wav file and specifically skipping the RIFF and other containers and focusing strictly on the data portion of the .wav file contents. The running example is encountering an error for:

AttributeError: 'numpy.ndarray' object has no attribute 'append'

1. Stemming from a traceback of: new_data = data.append(np.zeros(2 * sr))

However, when changing the below file to try and fix this issue, such as new_data.astype(np.int16), still running into issues.

Whenever I click on my send button, the emit event doesn't trigger consistently (sometimes it triggers, sometimes it doesn't). It does trigger when I spam click on my send button.

Here is my server.py

I am applying NB and NLTK to classify phrases according to some feelings, like sadness, fear, happyness etc..

classificador = nltk.NaiveBayesClassifier.train(base_completa_treinamento)

and applying this function to a phrase:

I am trying to do the following in Solr.
I would like to treat, for example, ü and ue as equivalent while searching. Similarly for the other umlauts. The user of the search API, should be able to search with either and still get the same results. For example searching with übersicht and uebersicht should turn up the same results

I saw SnowballPorterFilterFactory with the German2 language attribute. The German2 attribute looks to be what I need, but I would like to use it without having to introduce Stemming. Is this possible