research | Machine Learning library
kandi X-RAY | research Summary
kandi X-RAY | research Summary
This repository is used mainly for code related to specific research questions, mostly written by @vbuterin. It is not meant as a general research repository for academic papers. An exception to this is the papers folder, which contains the LaTeX files for various academic papers.
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Top functions reviewed by kandi - BETA
- Verify a proof
- Convert a sequence of bytes to a binary path
- Gets the roots of a group
- Evaluate the barycentric expression at a given point
- Compute the updated verkle root
- Print time to stderr
- Commit pede_g
- Add missing commits to verkle tree
- Generates a verkle proof
- Compute the proof of the formula
- Test the validity of a transfer
- Shuffle a list of values
- Test if a validator exits
- Test a block of data
- Interpolate a polynomial without zeros
- Compute the proof for a given formula
- Delete key
- Check that the tree is valid
- Parse a logout message
- Add missing commits to the verkle tree
- Test the presence of the front of the chain
- Updates a verkle node
- Computes the transition for the given block state
- Check the verkle trie
- Runs some sanity checks
- Update a verkle tree
- Test whether the given state is a participant
- Prepare a RLP message
research Key Features
research Examples and Code Snippets
/* MINIMIZE QUERIES: add any one of the following tags before the beginning of your query (in the same block):
#min-title = hides the page reference link / page title
#min-con = hides the contextual reference information (breadcrumbs)
#m
#References of collected signatures
signature_collection_citation[!duplicated(signature_collection_citation$Journal),]
#> # A tibble: 19 x 6
#> Signatures `Published year` Journal Title PMID DOI
#>
from tensorflow.keras.models import Sequential
model = Sequential()
from tensorflow.keras.layers import Dense
model.add(Dense(units=64, activation='relu'))
model.add(Dense(units=10, activation='softmax'))
model.compile(loss='categorical_crossen
Community Discussions
Trending Discussions on research
QUESTION
I am writing a program in python to have a user input multiple websites then request and scrape those websites for their titles and output it. However, when the program surpasses 8 websites the program crashes every time. I am not sure if it is a memory problem, but I have been looking all over and can't find any one who has had the same problem. The code is below (I added 9 lists so all you have to do is copy and paste the code to see the issue).
...ANSWER
Answered 2021-Jun-15 at 19:45To avoid the page from crashing, add the user-agent
header to the headers=
parameter in requests.get()
, otherwise, the page thinks that your a bot and will block you.
QUESTION
I installed oracle db version 19c in my docker environment with the following command:
...ANSWER
Answered 2021-Jun-15 at 16:53SQL*Loader is in the image - but the docker container is separate from your host OS, so ubuntu doesn't know any of the files or commands inside it exist. Any commands inside the container should be run as docker commands. If you try this, it should connect to your running container and print the help page:
QUESTION
I have a dataset with the name of Danish ministers and their position from 1990 to 2020 (data comes from dataset called WhoGovern; https://politicscentre.nuffield.ox.ac.uk/whogov-dataset/). The dataset consists of the ministers name
, the ministers position
, the prestige
of that position, and the year
in which the minister had that given position.
My problem is that some ministers are counted twice in the same year (i.e., the rows aren't unique in terms of name
and year
). See the example in the picture below, where "Bertel Haarder" was both Minister of Health and Minister of Interior Affairs in 2010 and 2021.
I want to create a dataset, where all the rows are unique combinations of name
and year
. However, I do not want to remove any information from the dataset. Instead, I want to use the information in the prestige
column to combine the duplicated rows into one. The observations with the highest prestige should be the main observations, where the other information should be added in a new column, e.g., position2
and prestige2
. In the example with Bertel Haarder the data should look like this:
(PS: Sorry for bad presenting of the tables, but didn't know how to create a nice looking table...)
Here's the dataset for creating a reproducible example with observations from 2010-2020:
...ANSWER
Answered 2021-Jun-08 at 14:04Reshape the data to wide format twice, once for position
and the other for prestige_1
, and join the two results.
QUESTION
I've spent hours researching this small problem now, but clearly I wasn't able to figure out how to get my packages to work the way I want them to.
Here's an extract from my project structure:
...ANSWER
Answered 2021-Jun-15 at 15:10Shouldn't I be able to import the functions from code.py within testing.ipynb?
It depends from where you start the script. If you start it from the top level directory of both folders then it should work.
toplevel/ package/ init.py code.py notebooks/ testing.ipynb
For instance, with the above directory structure, launch testing.ipynb
with toplevel
being your working directory.
- Also you can use
QUESTION
Hello my favorite people!
I am trying to send an email after submitting a form, with the AUTO INCREMENT number attached to the email because the AUTO INCREMENT number is the clients Job Card Reference Number. So far i have successfully created the insert script which inserts the data into the database perfectly, and also sends the email too. But does not attach the AUTO INCREMENT number into the email. The INT(11) AUTO INCREMENT primary key is "job_number" in my MySQL database.
Here is my insert page:
...ANSWER
Answered 2021-Jun-15 at 09:58 $insertId = false;
if($insert_stmt->execute())
{
$insertId = $insert_stmt->insert_id;
$insertMsg="Created Successfully........sending email now";
}
if($insertId){
// do stuff with the insert id
}
QUESTION
So I am relatively new to programming, and I have been working on this task app, where I want to save the data such as task name and more, given by the user. I am trying to accomplish this using Room. Now, initially, when I tried to do it, the app would crash since I was doing everything on the main thread probably. So, after a little research, I came to AsyncTask, but that is outdated. Now finally I have come across the Executer. I created a class for it, but I am a little unsure as to how I can implement it in my app. This is what I did :
Entity Class :
...ANSWER
Answered 2021-Jun-14 at 12:03First make a Repository class and make an instance of your DAO
QUESTION
EDIT: Thank you everyone! I have never upgraded to a newer version of .NET and language version before. Thus didn't know about .csproj configuration. Even though I did a research before posting a question I was not able to find a solution myself. So, I just leave these two links for further reference, perhaps this might help someone as well.
https://docs.microsoft.com/en-us/dotnet/standard/frameworks
https://docs.microsoft.com/en-us/dotnet/csharp/language-reference/configure-language-version
I have upgraded to .NET 5.0.301
And finally got around to try record type in C# 9.0
I wrote a simple code but got an error during compilation.
I use Visual Studio Code as an editor.
VS Code version 1.57.0
C# extension version 1.23.12
Here is my settings.json:
...ANSWER
Answered 2021-Jun-15 at 02:23Check your target framework and language version in your .csproj file. You should find something like:
QUESTION
I have issues fine-tuning the pretrained model deeplabv3_mnv2_pascal_train_aug in Google Colab.
When I do the visualization with vis.py, the results appear to be displaced to the left/upper side of the image if it has a bigger height/width, namely, the image is not square.
The dataset used for the fine-tune is Look Into Person. The steps done to do so are:
- Create dataset in deeplab/datasets/data_generator.py
ANSWER
Answered 2021-Jun-15 at 09:13After some time, I did find a solution for this problem. An important thing to know is that, by default, train_crop_size and vis_crop_size are 513x513.
The issue was due to vis_crop_size being smaller than the input images, so vis_crop_size is needed to be greater than the max dimension of the biggest image.
In case you want to use export_model.py, you must use the same logic than vis.py, so your masks are not cropped to 513 by default.
QUESTION
Our platform allows user to submit forms (Umbraco Forms), but upon opening the submitted forms, the order of the data fields has changed arbitrarily every time. I need to reorder a form to the original order, but cannot know the order of the form without iterating it. I have tried this:
...ANSWER
Answered 2021-Jun-11 at 11:04This doesn't work because when you insert at index 10, then you iterate again, changing the index of that element.
Try use a Dictionary maybe:
QUESTION
I know there are some other questions (with answers) to this topic. But no of these was helpful for me.
I have a postfix server (postfix 3.4.14 on debian 10) with following configuration (only the interesting section):
...ANSWER
Answered 2021-Jun-15 at 08:30Here I'm wondering about the line [in s_client]
New, TLSv1/SSLv3, Cipher is ECDHE-RSA-AES256-GCM-SHA384
You're apparently using OpenSSL 1.0.2, where that's a basically useless relic. Back in the days when OpenSSL supported SSLv2 (mostly until 2010, although almost no one used it much after 2000), the ciphersuite values used for SSLv3 and up (including all TLS, but before 2014 OpenSSL didn't implement higher than TLS1.0) were structured differently than those used for SSLv2, so it was important to qualify the ciphersuite by the 'universe' it existed in. It has almost nothing to do with the protocol version actually used, which appears later in the session-param decode:
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You can use research 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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