84 karma · joined September 30, 2018
[2013] https://www.powerengineeringint.com/2013/10/14/university-of...
I’m guessing the problem is in the capital cost of having a generator system installed. Getting procurement, university real estate/capital projects, a general contractor, and any deans/admin involved to build the system.
I have just assumed that all science buildings had backup generators by default. Movies may have tricked me. I think all hospitals are required to though, which makes sense why the researcher moved his metabolic stuff to UCSF
I had trouble finding the test cases they used. Where'd they list them?
* transition version control to Git
* Removed commented out blocks
* Add clang-format to the codebase
* remove support for old operating systems
* fix clang warnings and memory bugs
* reorganize sections of code changing behavior minimally
* add unit tests
* update compiler to clang++
* refactor and add new functionality
$15k+ barrier refers to a mandatory security assessment fee -- see "How will the security assessment work?" on the FAQ
Current Spotify premium user because I like the curated playlists
https://en.wikipedia.org/wiki/Yabasic
Because I had to look it up
[0] https://www.reddit.com/r/gifs/comments/5dervt/what_a_driverl...
"""When it comes to users, all of this bad behaviour and mismanagement... Breads Conspiracy Theories
"Google's search engine was suppressing the bad news about Hillary Clinton" - Donald Trump, 2016"""
Street addressing is nice because the addresses with the same street name are on the same street organized by number. (generally at least--there are example of streets that stop/restart) And the numbering is collinear with the direction of travel. i.e. I walk along the street. And I know I'll pass 11XY to get to 12XY.
what3words was interesting but the words for the squares don't seem to be related to each other. From one square, I'd like to be able to generate the addresses of all the adjacent squares. (///jumped.spring.improving directly next to ///book.groups.hiking) and I can't generalize a larger square of w3w squares with an overarching set of words or something
playing around with the plus codes, they seem to increment in a consistent way but I haven't figured out how e.g. (a random example) W->E: _+HJV _+HJW _+HJX _+HMR N->S: _+HMJ _+HMC _+HM6 _+HM2
I also like that I can change the address reference box size based on how many letters I have after the plus sign. In case I want to reference my front door versus my entire city.
It'd be much easier filling out addresses in forms because I could type less info. But it'd be hard for me to associate a string on number letters to an area just in everyday life. Market St or Powell st carries more with it. And is streets aren't directly aligned with the boxes then that poses a difficulty.
Edit: found their doc evaluating other methods [link](https://github.com/google/open-location-code/wiki/Evaluation...)