17 Matching Annotations
  1. Aug 2023
    1. async vs. sync depends exactly on what you are doing in what context. If this is in a network service, you need async. For a command line utility, sync is the appropriate paradigm in most simple cases, but just knee-jerk saying "async is better" is not correct. My snippet is based on the OP snippet for context.
  2. Nov 2022
  3. Sep 2021
  4. Jul 2021
  5. Jun 2021
    1. Thanks, this was just what I was looking for! This is a perfect appropriate use of instance_eval. I do not understand the nay-sayers. If you already have your array in a variable, then sure, a.reduce(:+) / a.size.to_f is pretty reasonable. But if you want to "in line" find the mean of an array literal or an array that is returned from a function/expression — without duplicating the entire expression ([0,4,8].reduce(:+) / [0,4,8].length.to_f, for example, is abhorrent) or being required to assign to a local, then instance_eval option is a beautiful, elegant, idiomatic solution!!
  6. Apr 2021
    1. With Stack Overflow for Teams being a flexible platform, we’ve seen customers use it for a wide variety of use cases: A platform to help onboard new employees A self-serve help center to reduce support tickets Collaboration and documentation to drive innersource initiatives Breaking down silos and driving org wide transformation like cloud migration efforts A direct customer support platform Enable people who are working towards a common goal, whether a startup or a side project, to develop a collective knowledge base
  7. Mar 2021
    1. Application: 3-D Shape RegistrationAn important problem in model-based recognition is to find the transformation of a set of datapoints that yields the best match of these points against a shape model. The process is oftenreferred to asdata registration. The data points are typically measured on a real object by rangesensors, touch sensors, etc., and given in Cartesian coordinates. The quality of a match is oftendescribed as the total squared distance from the data pointsto the model. When multiple shapemodels are possible, the one that results in the least total distance is then recognized as the shapeof the object.Quaternions are very effective in solving the above least-squares-based registration problem.
  8. Feb 2021
  9. Oct 2020
    1. Looks like the problem is that debounce defaults to waiting for 0 ms ... which is completely useless!

      It would be (and is) way to easy to omit the 2nd parameter to https://lodash.com/docs/4.17.15#debounce.

      Why is that an optional param with a default value?? It should be required!

      There must be some application where a delay of 0 is useless. https://www.geeksforgeeks.org/lodash-_-debounce-method/ alludes to / implies there may be a use:

      When the wait time is 0 and the leading option is false, then the func call is deferred until to the next tick.

      But I don't know what that use case is. For the use case / application of debouncing user input (where each character of input is delayed by at least 10 ms -- probably > 100 ms -- a delay of 0 seems utterly useless.

    1. trusktr herman willems • 2 years ago Haha. Maybe React should focus on a template-string syntax and follow standards (and provide options for pre-compiling in Webpack, etc).

      Well anywho, there's other projects now like hyperHTML, lit-html, etc, plus some really fast ones: https://www.stefankrause.ne...

      React seems a little old now (and the new Hooks API is also resource heavy).

      • Share ›  Michael Calkins trusktr • 4 years ago • edited That's a micro optimization. There isn't a big enough difference to matter unless you are building a game or something extraordinarily odd.

      • Share › −  trusktr Michael Calkins • 2 years ago True, it matters if you're re-rendering the template at 60fps (f.e. for animations, or for games). If you're just changing views one time (f.e. a URL route change), then 100ms won't hurt at all.