pegasus | converts PureScript functional core into Python source code
kandi X-RAY | pegasus Summary
kandi X-RAY | pegasus Summary
Tool that converts PureScript functional core into Python source code.
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Top functions reviewed by kandi - BETA
- Generate an ordArray for a given function .
- Creates a function that compares lt to lt .
- Creates a function that evaluates an element of the given function .
- Return a function that flattens a sequence of values .
- Create a foldlArray from a list .
- Apply a function to a list of functions .
- Bind a function to an array .
- Function to create a boolean expression .
- Creates an array mapping function to a function .
- Divide an integer .
pegasus Key Features
pegasus Examples and Code Snippets
Community Discussions
Trending Discussions on pegasus
QUESTION
There is class called Player and has std::vectorstd::shared_ptr library vector. In the int main part, I created objects called Soldier, Pegasus, Guard. I wanna pass this object into a vector in one line. How can I do that? Basically, I wanna create a player1 deck of card vector and pass the objects into that vector.
...ANSWER
Answered 2021-May-30 at 13:30#include
class Card{
};
class Creature : public Card
{
private:
std::string name;
int a, b, c;
bool d, e;
char f;
public:
Creature(std::string name, int a, int b, int c, bool d, bool e, char f) : Card(), name(name), a(a), b(b), c(c), d(d), e(e), f(f) {};
};
class Player{
private:
using Cards = std::vector>;
Cards library;
public:
Player(Cards cards): library(cards){}
};
int main(){
std::shared_ptr Soldier = std::make_shared("Soldier", 0, 1, 1, false, false, 'W');
std::shared_ptr Guard = std::make_shared("Guard", 2, 2, 5, false, false,'W');
std::shared_ptr ArmoredPegasus = std::make_shared("Armored Pegasus", 1, 1, 2, false, false,'W');
Player player1({Soldier, ArmoredPegasus, Guard});
}
QUESTION
I am trying to scrape product details such as product name,price,category,color from https://nike.co.in Despite giving the correct Xpath to the script, It does not seem to be scraping the details and it gives an empty list. Here's my complete script:
...ANSWER
Answered 2021-May-06 at 09:48You can get all of the information you require by using the CLASS_NAME selector as each product card is helpfully given a descriptive class.
QUESTION
So I have this code where I will put 12 boxes inside a div in a row but 1 box can't fit inside.
...ANSWER
Answered 2021-Apr-17 at 08:14one of your box is out of the row because there no space left for it, You can simply reduce each purple box size to produce some space for the outered box. Moreover another problem is that your out of row box is also out of the parent div border. To include all boxes inside the parent div border, remove height from div selector, so that the parent div can take as much height as needed to cover all of its child divs. You can watch the final result on my codepen
QUESTION
In the Transformers library, what is the maximum input length of words and/or sentences of the Pegasus model? I read in the Pegasus research paper that the max was 512 tokens, but how many words and/or sentences is that? Also, can you increase the maximum number of 512 tokens?
...ANSWER
Answered 2021-Mar-19 at 17:50In the Transformers library, what is the maximum input length of words and/or sentences of the Pegasus model? It actually depends on your pretraining. You can create a pegagsus model that supports a length of 100 tokens or 10000 tokens. For example the model
google/pegasus-cnn_dailymailsupports 1024 tokens, whilegoogle/pegasus-xsumsupports 512:
QUESTION
I am trying to convert the Pegasus newsroom in HuggingFace's transformers model to the ONNX format. I followed this guide published by Huggingface. After installing the prereqs, I ran this code:
...ANSWER
Answered 2021-Mar-18 at 10:14Pegasus is a seq2seq model, you can't directly convert a seq2seq model (encoder-decoder model) using this method. The guide is for BERT which is an encoder model. Any only encoder or only decoder transformer model can be converted using this method.
To convert a seq2seq model (encoder-decoder) you have to split them and convert them separately, an encoder to onnx and a decoder to onnx. you can follow this guide (it was done for T5 which is also a seq2seq model)
Why are you getting this error?
while converting PyTorch to onnx
QUESTION
I'm taking a pre-trained pegasus model through Huggingface transformers, (specifically, google/pegasus-cnn_dailymail, and I'm using Huggingface transformers through Pytorch) and I want to finetune it on my own data. This is however quite a large dataset and I've run into the problem of running out of VRAM halfway through training, which because of the size of the dataset can be a few days after training even started, which makes a trial-and-error approach very inefficient.
I'm wondering how I can make sure ahead of time that it doesn't run out of memory. I would think that the memory usage of the model is in some way proportional to the size of the input, so I've passed truncation=True, padding=True, max_length=1024 to my tokenizer, which if my understanding is correct should make all the outputs of the tokenizer of the same size per line. Considering that the batch size is also a constant, I would think that the amount of VRAM in use should be stable. So I should just be able to cut up the dataset into managable parts, just looking at the ram/vram use of the first run, and infer that it will run smoothly from start to finish.
However, the opposite seems to be true. I've been observing the amount of VRAM used at any time and it can vary wildly, from ~12GB at one time to suddenly requiring more than 24GB and crashing (because I don't have more than 24GB).
So, how do I make sure that the amount of vram in use will stay within reasonable bounds for the full duration of the training process, and avoid it crashing due to a lack of vram when I'm already days into the training process?
...ANSWER
Answered 2021-Mar-11 at 12:55padding=True actually doesn't pad to max_length, but to the longest sample in the list you pass to the tokenizer. To pad to max_length you need to set padding='max_length'.
QUESTION
Been racking my brains for a few days, and not getting any further forward.
I have a project using a MERN stack, and I'm trying to access a nested array from my database.
This is what my data structure looks like:
...ANSWER
Answered 2021-Feb-10 at 14:32To map an array in react you can do it like this
QUESTION
I've been trying to generate summaries using Pegasus library and following the steps as mentioned -
- Created Input Data
.tfrecordinpegasus\data\testdata - Created a function to return
transformer_paramsnamedtest_transformers(suppose) - Running
python3 pegasus/bin/train.py --params=test_transformer --param_overrides=vocab_filename=ckpt/pegasus_ckpt/c4.unigram.newline.10pct.96000.model,batch_size=1,beam_size=5,beam_alpha=0.6 --model_dir=ckpt/pegasus_ckpt/xsum/model.ckpt-30000 python3 pegasus/bin/evaluate.py --params=test_transformer --param_overrides=vocab_filename=ckpt/pegasus_ckpt/c4.unigram.newline.10pct.96000.model,batch_size=1,beam_size=5,beam_alpha=0.6 --model_dir=ckpt/pegasus_ckpt/xsum/model.ckpt-30000
However, I am facing this issue in outputs when I am generating text -
Is there some issue in the way its implemented or the way I'm running the python code in step 3 and 4?
Thanks in Advance !
...ANSWER
Answered 2020-Dec-15 at 06:10Here's a link to the closed issue.
The reasons highlighted for this issue is :-
QUESTION
I'm trying to update a PUT request which has a JSONArray inside it and I'm constantly getting a 500 error response. Here how the api structure is:
...ANSWER
Answered 2020-Dec-04 at 10:38Finally figured it out, sending the PUT request in the form of api. FYI: If you have multiple json objects inside the array, just use a for loop, here is the working answer:
QUESTION
I am rendering data from two JSON files in react. First file is my main file and from the second file I want conditional rendering on the basis of the first file.
Explanation: From First file name "maindata.json" I am rendering all the data into a table. There is a Unique id field in the Json in first file. From Second file I just want to populate only a date fieldand there is also a unique id in the second JSON. What I want is if the main JSon file id matches with the id in the second json file, so print the date from the second file in the same row next to the id from the main file.
What I have done.
- I have applied the condition but the problem is its not doing the match and prints all the dates in one column.
- React App is getting slower ( performance Issue )
Here is my Code sample.
...ANSWER
Answered 2020-Nov-13 at 02:13You should use filter instead of map! Here's the code that works.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install pegasus
You can use pegasus like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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