EFM | EFM designed to make file management easy
kandi X-RAY | EFM Summary
kandi X-RAY | EFM Summary
EFM designed to make file management easy on embedded systems. EFM works on any systems with or without OS. It can manage only one (default) file system and only one volume. EFM works with VT100 or VT100J terminal programm (HyperTerminal in Windows or GTKTerm on Linux) in 80 and 132 column mode. Runing on Windows station EFM is trying to open COM port (COM-6). To run EFM on Windows station we use com0com Null-modem emulator. (com0com is an advanced utility, which purpose is to emulate RS232 serial ports connected via virtual null-modem cable. In other words, with com0com you can create pure virtual serial ports in your system, that will be connected to each other via virtual null-modem cable without having real serial ports occupied. PORTING: EFM was successfully tested on i386 WindowsXP station under MinGW, Ubuntu Linux and Atmel's ARM9 evaluation board. You can easily port EFM source code on Windows under MinGW or Cygwin, Linux or ARM using WinArm compiler. To configure EFM for building you must edit the efm_c.h file. default - build on a Linux box. COPYRIGHT: This program is copyrighted under the GNU General Public License. CONTACT: Yury Bobrov Email: ubobrov@yandex.ru.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of EFM
EFM Key Features
EFM Examples and Code Snippets
Community Discussions
Trending Discussions on EFM
QUESTION
I have a Piece of code that's supposed to change the text displayed according to the current day of the week and the time of day.
For some reason the if/else statements I'm using to check variables are altering the day variable. The end value changes from day do day and removing sections of if else statements also change the result.
I plan on embedding this on a WordPress site using the HTML block
...ANSWER
Answered 2022-Jan-19 at 09:33This is happening because you are assigning the value in the if check. instead of assigning it using =
, use ==
or ===
to check for equality
QUESTION
I am trying to send out an email with node mailer, and it is sending the email, but I am trying to use an image in there, a base64 image. I've converted the image to base64, and done this:
...ANSWER
Answered 2021-Jun-02 at 16:51var base64 = `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`
html: "
Thank you "
QUESTION
So, I have a strange behavior when trying to scrape a webpage with python requests library. For some reason that I don't understand when I scrape the content of a webpage I get the data of another apparently random webpage. Here's an example:
...ANSWER
Answered 2020-Jun-02 at 17:45You should mimik a real browser, at least that can be done passing a User-Agent:
QUESTION
I'm trying web scraping using this code settings.py
...ANSWER
Answered 2020-Apr-21 at 16:19How are you getting the scraped data? From what you showed I suspected that you copied from the terminal. Is that it? If it's, there's a way to save it direct into a file, using this command:
scrapy crawl special_offers -o /special_offers.json
Hopefully this solves your problem. Please, let me know.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install EFM
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page