beefy | local development server that aims to make using browserify | Runtime Evironment library
kandi X-RAY | beefy Summary
kandi X-RAY | beefy Summary
a local development server designed to work with browserify.
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Top functions reviewed by kandi - BETA
- setup watchify module
- Parse command - line arguments
- start watchify module
- Handle live reload events
- start a new parser handler
- Initialize a watcher .
- Create a new log handler .
- Prints help information .
- Create and bundle paths
- Command wrapper .
beefy Key Features
beefy Examples and Code Snippets
Community Discussions
Trending Discussions on beefy
QUESTION
With standard C code (= no platform specific code), I have written a program to do the following:
- Get starting
clock()
- Open a file
- write a ~250MB long string to it using one of the below listed modes
- close the file.
- Repeat 2...4 10000 times as fast as possible, rip storage unit
- Get ending
clock()
- Do some time calculations and output
A)
bulk mode: Write everything at once (= one call tofwrite
)B)
chunk mode: Write string in chunks. One chunk is slightly more than 1MB. (= multiple calls tofwrite
, about ~250).
Then, I let the program run on two different computers.
ExpectionI expect A)
being faster than B)
.
Below was on my beefy PC with a Samsung 970 EVO M.2 SSD (CPU = AMD Ryzen 2700x: 8 cores / 16 threads). The output on this one is slightly wrong, it should've been Ns/file, not Ns/write)
Below was on my laptop. I don't really know what type of SSD is installed (and I don't bother too much to check it out). If it matters, or anyone wants to and knows how to research, the laptop is a Surface Book 3.
Conclusion- Beefy PC:
B)
is faster thanA)
, against expectations. - Laptop:
A)
is faster thanB)
, within expectations.
My best guess is that some sort of hidden parellization is at work. Either the CPU does smart things, the SSD does very smart things, or they work together to do incredibly smart things. But pinning and writing down anything further sounds too absurd for me to keep it staying here.
What explains the difference in my expectation and the results?
The benchmarkCheck out https://github.com/rphii/Rlib, under examples/writecomp.c
More TextI noticed this effect while working on my beefy PC with a string of length ~25MB. Since B)
was a marginal, but consistent, ~4ms faster than A)
, I increased the string length and did a more thorough test.
ANSWER
Answered 2022-Feb-11 at 13:38Since no one's gonna do it, I'll answer my question based on the comment I got.
- clock does not measure the wall clock time but the CPU time. Please read this post.
- Reads/writes are generally buffered.
- Operating systems generally uses an in-memory cache (especially for HDD).
- SSD reads can be faster in parallel (and often are for recent ones) while HDD are almost never faster in parallel. (this quite recent post provides some information about caching and buffering).
QUESTION
I'm pretty sure it's because I am using t2.nano
and not something a little more beefy.
But I have used laravel forge to provision an ec2 server, I can't deploy my application however because I need to install GRPC
.
I have followed these instructions: https://cloud.google.com/php/grpc#using-pecl
And when I run: sudo pecl install grpc
it runs for around 10 mins and then just gets stuck.
Seems to be running the same thing over and over again, can't quite workout the full stack trace or more importantly where it begins, but I'll post below.
...ANSWER
Answered 2021-Dec-01 at 19:04Upgrade to a bigger tier than the t2.nano and it should work. I think it's because of the RAM limit. I had the same issue with some instances in Digital Ocean.
QUESTION
I have a file (the first chapter of Harry Potter) with large amounts of white space. For example:
...ANSWER
Answered 2021-Nov-01 at 01:01Given:
QUESTION
We have a beefy server in our CI and we want to take advantage of it and parallelize our cypress test suite on the same machine. We know that cypress doesn't encourage it but it should be possible!
We have a bash script that splits all of the test files in n
groups and runs cypress on each group on a new port in the background with:
ANSWER
Answered 2021-Oct-13 at 10:13I'm not an expert, but "Unexpected end of input" sounds like a file access clash has happened. Perhaps two processes have attempted to write to the same test artefact.
I heard that generally the number of threads should not exceed the number of cores - 1. On my 4 core machine, specifying 3 threads gets me about 15% increase in throughput over 20 specs.
I've used a NodeJS script to call the Cypress Module API, which allows adjustment of config on a per-thread basis to avoid file write clashes (see reporterOptions)
QUESTION
I have been given access to a beefy machine on which to run a large simulation. I have developed the code in an RStudio project with renv. Renv makes a local copy of all the packages and stores versions thereof in a lock file.
The target machine (which runs Windows) does not have access to the internet. I have copied the project file, the code files, the renv folder (which includes all the local copies of the packages, the lock file, and the .RProfile
file, to a folder on the target machine.
When I open the project on the target machine, the .RProfile
executes source("renv/activate.R")
. However, this fails to load the projects, instead giving me the following message
ANSWER
Answered 2021-Jun-28 at 18:18In the end I just wrote an small script to copy the files over.
QUESTION
I have a hyper table for exchange candle data set up using TimescaleDB.
TimescaleDB official image
timescale/timescaledb:latest-pg12
set up and running with Docker with the exact version stringstarting PostgreSQL 12.6 on x86_64-pc-linux-musl, compiled by gcc (Alpine 10.2.1_pre1) 10.2.1 20201203, 64-bit
Python 3 client
The table has 5 continuous aggregate views set up like here and around 15 colums
Running the following query is slow (count query generated with SQLAlchemy):
...ANSWER
Answered 2021-Jun-13 at 05:10you can try the approximate_row_count() function (https://docs.timescale.com/api/latest/analytics/approximate_row_count/) which gives an immediate result.
QUESTION
I am using Powershell with Selenium and need to select an item from a drop down. The page is https://app.beefy.finance/ . I need to change "Vault Type" from "ALL" to "Single assets"
...ANSWER
Answered 2021-May-23 at 19:02You need to click on the drop down for the object to appear. Then you can find it and click on it. i used it's XPath:
QUESTION
I'm using Access VBA code like the following to create a Word doc and insert some formatted text.
One thing I need to do is separate some metadata with a bullet symbol. We do this currently in an Access Report (where we use the symbol explicitly in the Access SQL statement that builds the data for the report), but now need to build a different type of document using VBA.
My research suggests that the bullet is Character Code 183 or 149, but when we use both of those in our VBA code, it inserts small bullets instead of the beefy bullet that we can get from inserting a bullet symbol directly through the Insert>Symbol menu.
Below is some example code, and a screen shot from the output of that code (with the last line manually added to show the size of the bullet we can add manually). Any suggestions on how we can get a big bullet through VBA code?
...ANSWER
Answered 2021-May-13 at 15:09You need to split your string, insert the symbol in between and then the time.
Try this:
QUESTION
I have a large table with a comments column (contains large strings of text) and a date column on which the comment was posted. I created a separate vector of keywords (we'll call this key) and I want to count how many matches there are for each day. This gets me close, however it counts matches across the entire dataset, where I need it broken down by each day. The code:
...ANSWER
Answered 2021-Apr-21 at 18:50As pointed out in the comments, you can use group_by
from dplyr
to accomplish this.
First, you can extract keywords for each comment/sentence. Then unnest
so each keyword is in a separate row with a date.
Then, use group_by
with both date and comment included (to get frequency for combination of date and keyword together). The use of summarise
with n()
will give number of mentions.
Here's a complete example:
QUESTION
Imagine a table of contacts, where the same contact has multiple entries, but with differing data. How would one go about selecting this data for review? Unfortunately, a merge of sorts would be disagreeable as there may exist visually identifiable erroneous data that is not currently envisaged to be automatically processed.
...ANSWER
Answered 2021-Jan-01 at 00:04You can use aggregation to identify the duplicates:
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