ursa | URSA - RSA public/private key OpenSSL bindings for Node.js | Encryption library
kandi X-RAY | ursa Summary
kandi X-RAY | ursa Summary
URSA - RSA public/private key OpenSSL bindings for Node.js.
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Top functions reviewed by kandi - BETA
- Encodes a public key .
- Encapsulates a private key .
- Opens a public key from an SSH key .
- Create a private key from PEM encoded string
- Creates a new signature object
- Convert a raw value to a S - bit integer .
- Creates a new signer .
- Parses the public key .
- Sign an algorithm .
- Verify the signature using the given algorithm .
ursa Key Features
ursa Examples and Code Snippets
Community Discussions
Trending Discussions on ursa
QUESTION
I'm a java-script newbee, that's why I struggle with the mapping of a simple json array, if it is a response from a server. I've tested it with static json, and it works as expected:
...ANSWER
Answered 2022-Mar-01 at 03:08Looks like data that you are getting is not an array. Hence data.map() is giving type error. Can you please console log the data and see what's coming?
QUESTION
"Find Word Count"- Instructions: Given an input string (assume it's essentially a paragraph of text) and a word to find, return the number of times in the input string that the word is found. Should be case agnostic and remove space, commas, full stops, quotes, tabs etc while finding the matching word.
=======================
My code doesn't work properly.
...ANSWER
Answered 2021-May-25 at 17:41In your code you are not checking complete word. So, its matching both 'be' and 'because'. You're checking if there are any sub-strings contains the word 'be'. Could you please try below solution using regex? It will solve your purpose:
QUESTION
After watching the mind-blowing webinar at Rstudio conference here I was pumped enough to dump an entire SQL server table to parquet files. The result was 2886 files, (78 entities over 37 months) with around 700 millons rows in total.
Doing a basic select returned all rows in less than 15 seconds! (Just out of this world result!!) At the webinar Neal Richardson from Ursa Labs was showcasing the Ny-Taxi dataset with 2 billions rows under 4 seconds.
I felt it was time to do something more daring like basic mean, sd, mode over a year worth of data, but that took a minute per month, so I was sitting 12.4 minutes waiting for a reply from R.
What is the issue? My badly written R-query? or simply too many files or granularity (decimal values in Kontobelop)??
Any ideas??
PS: I did not want to put a Jira-case in apache-arrow board as I see google search does not retrieve answers from there.
...ANSWER
Answered 2021-Feb-08 at 16:33My guess (without actually looking at the data or profiling the query) is two things:
- You're right, the decimal type is going to require some work in converting to an R type because R doesn't have a decimal type, so that will be slower than just reading in an int32 or float64 type.
- You're still reading in ~350 million rows of data to your R session, and that's going to take some time. In the example query on the arrow package vignette, more data is filtered out (and the filtering is very fast).
QUESTION
I have been using the latest R
arrow
package (arrow_2.0.0.20201106
) that supports reading and writing from AWS S3 directly (which is awesome).
I don't seem to have issues when I write and read my own file (see below):
...ANSWER
Answered 2020-Nov-21 at 00:05I'm assuming you're on Linux since the macOS and Windows binary packages have snappy support--that right? Usually if you've installed the Linux package with S3 support you've also built all of the compression libraries, but it is possible to build S3 without the compression libs. How exactly did you install the package?
https://arrow.apache.org/docs/r/articles/install.html may be a useful reference.
Side note: you can just write_parquet(iris, "s3://myawsbucket/iris.parquet")
, no need to write to a local file and shell out to copy it to S3.
QUESTION
The is.na() function can be used to check if there are any missing values in a data frame. But this just returns a table of boolean (TRUE/FALSE) values, and in a large table, it can be difficult to manually check for any TRUE values. For instance, using the iris
dataset, I get the following:
ANSWER
Answered 2020-Nov-03 at 10:27you can use which and any. There is no NA as you see:
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