Besides web sources, logic dictates this as well: Since dual-cpu was its selling point, it wouldn't make sense to ship a disabled L2 implementaton on the mobo at extra cost. There was no single-cpu model.
2,457 karma · joined February 13, 2011
Besides web sources, logic dictates this as well: Since dual-cpu was its selling point, it wouldn't make sense to ship a disabled L2 implementaton on the mobo at extra cost. There was no single-cpu model.
> Something that you neglected to mention is, with every abstraction layer up to Python, everything is predictable and repeatable.
As long as you consider C and dragons flying out of your nose predictable.
(Insert similar quip about hardware)
(It still potentially increases wind buildout so it can have indirect positive impact especially if wind is not competitive at the same prices with fossils)
Also the accounting is "we bought as many MWh of wind power as we used" over some time window, so in reality they are using fossil power in peaks, competing with everyone else and placing pressure to expand fossil based capacity.
These are also the reasons it's probably better to talk about the electricity used instead of trying to translate it to emissions by proxy, which is prone to being gamed due to abovementioned reasons.
(Also the number is high rather than low if you consider that all the individual slices of the emisison pie at this subdivision granularity are pretty small)
edit: skipping the theoretical foundations, there seems to be at least this tool that claims to validate yaml against json schema: https://github.com/json-schema-everywhere/pajv
The other way to eliminate protection boundary crossings is to push everything to userspace, a la Snabb, DPDK etc.
If a product upon unboxing promptly flops on its back with "come here internet" access controls, even if by good fortune it's saved by your network ACLs, it's time to put it back in the box and return it.
For example this IFC-in-browser thing looks amazingly useful: https://twitter.com/ifc_js/status/1462880392915083269
The previous time, from 2017[1], was already quite good - there was only a single complaint, and that was about someone missing a WebGL extension this needs for floating point textures.
They publish numbers that are very surprising to most people, like Python and JS are used on 1.5% of sites vs PHP on 79%, then offer some very handwavy text about the data ("In order to obtain any information from websites, we rely on the websites themselves"), and then offer a full report for $$$ where they probably more fully own up to how they come up with this clearly flawed data.
In the end the paying customer sees the shortcomings of the data, feels relieved that their assumptions weren't invalidated and has invested some money to doing due diligence.
There's not many people living in these areas though like the sibling comment points out.
(Water heating dominates the energy used in those, the mechanical sloshing around takes trivial power compared to it).
https://docs.cider.mx/cider/debugging/debugger.html#using-th...