Commentary | Interactive commenting and community software

i use parrot security as my daily distro. its mate terminal is transparent so is vim .but i wanted to get auto complete and used some plugins.auto complete window appears to be in pink which looks really ugly in semi transparent black background.i changed the theme and it was fixed but so was gone vim transparency .

in short word (1)i have to keep the default (2)i have to keep transparent vim (3)i have to change the auto complete window from pink to semi transparent black

here is my init.vimrc

I'm developing my own code to display the comment list and comment form.

What I need is to replace 'reply' button (only when is shown), with a comment form, next to the commentary to make the reply.

All the code I have so far is the following. Can someone help me fix it? Thanks.

I am using BeautifulSoup to parse some html page. I want to get all text information within the

tags under this

When I use find_all to get all of the

tags, the list contains only the first one. I used to following code to count the no. of

tags present under

tags within that highlighted

Let's say I have a file I'm reading that goes something like this :

I have the following code for many to many or many to one relationship persistence using Spring JPA.

This is my repository test https://github.com/Truebu/testJpa.git

This class has three one-to-many relationships, but none work well

Good afternoon, comrades. I am sure that no one helped me, tk. I just asked the question not very correctly earlier. I am trying to create a FlexDashcoard application. To understand how the program works, you need the sample data files that I have prepared. I apologize in advance for the Russian characters in the files, they are presented to you "as is".

Here is my code:

I have a dataframe that has a weird format that I am having difficulty formatting it to a desired format. I just need the columns first_name, last_name, domain, Email, Verification and status but am not sure how to remove it when it is in this format.

I’m currently trying to train a Spanish to English model using yaml scripts. My data set is pretty big but just for starters, I’m trying to get a 10,000 training set and 1000-2000 validation set working well first. However, after trying for days, I think I need help considering that my validation accuracy goes down the more I train while my training accuracy goes up.

My data comes from the ES-EN coronavirus commentary data set from ModelFront found here https://console.modelfront.com/#/evaluations/5e86e34597c1790017d4050a. I found the parallel sentences to be pretty accurate. And I’m using the first 10,000 parallel lines from the dataset, skipping sentences that contain any digits. I then take the next 1000 or 2000 for my validation set and the next 1000 for my test set, only containing sentences without numbers. Upon looking at the data, it looks clean and the sentences are lined up with each other in the respective lines.

I then use sentencepiece to build a vocabulary model. Using the spm_train command, I feed in my English and Spanish training set, comma separated in the argument, and output a single esen.model. In addition, I chose to use unigrams and a vocab size of 16000

As for my yaml configuration file: here is what I specify

My source and target training data (the 10,000 I extracted for English and Spanish with “sentencepiece” in the transforms [])

My source and target validation data (2,000 for English and Spanish with “sentencepiece” in the transforms [])

My vocab model esen.model for both my Src and target vocab model

Encoder: rnn Decoder: rnn Type: LSTM Layers: 2 bidir: true

Optim: Adam Learning rate: 0.001

Training steps: 5000 Valid steps: 1000

Other logging data.

Upon starting the training with onmt_translate, my training accuracy starts off at 7.65 and goes into the low 70s by the time 5000 steps are over. But, in that time frame, my validation accuracy goes from 24 to 19.

I then use bleu to score my test set, which gets a BP of ~0.67.

I noticed that after trying sgd with a learning rate of 1, my validation accuracy kept increasing, but the perplexity started going back up at the end.

I’m wondering if I’m doing anything wrong that would make my validation accuracy go down while my training accuracy goes up? Do I just need to train more? Can anyone recommend anything else to improve this model? I’ve been staring at it for a few days. Anything is appreciated. Thanks.

!spm_train --input=data/spanish_train,data/english_train --model_prefix=data/esen --character_coverage=1 --vocab_size=16000 --model_type=unigram

I've been trying to make a custom block in the Blockly workspace that changes the options in drop-down fields based on the selection of a previous drop-down field in the same block. About the block:-

1. There are three dropdown fields
2. All are populated dynamically using Blockly.Extensions
3. All codes are present below

I've implemented an 'onchange' function to the blockly initialization that gets the change data through the 'event' variable and responds accordingly. I'm having problems trying to update the changing drop-down fields. Please assist.

Code