beauty | VUE VUEX FIREBASE BULMA … 实现的 SPA SSR 同构项目 | State Container library

I'm trying to get some insight in this room for optimization for a SQL query (BigQuery). I have this segment of a WHERE clause that needs to include all instances where h.isEntrance is TRUE or where h.hitNumber = 1. I've tested it back and forth with CASE statements, and with OR statements for them, and the results aren't wholly conclusive.

It seems like the CASE is faster for shorter data pulls, and the OR is faster for longer data pulls, but that doesn't make sense to me. Is there a difference between these or is it likely something else driving this difference? Is one faster/is there another better option for incorporating this logical requirement into my query? Below the statement is my full query for context in case that's helpful.

Also open to any other optimizations I may have overlooked within this query as lowering the runtime for this query is paramount to its usefulness.

Thanks!

How i can to inject code in class method.i have to use this many method (app_one app_two...). i think code is not beauty and look like to duplicate in multiline. i want to know how i can to refactor this code ?

A bit of background:

I am an amateur programmer, having picked up Haskell a few months ago, on my spare time, after a period of Mathematica programmning (my first language). I am currently going through my second Haskell book, by Will Kurt, but I still have miles to go to call myself comfortable around Haskell code. Codeabbey has been my platform for experimentation and learning so far.

I have written a piece of code to generate permutations of a given number, that deals with possible duplicate numbers, so for 588 it will internally generate 588, 858 and 885.

However, because I want to scale to pretty big input numbers (think perhaps even a hundred digits long), I don't want to output the whole list and then perform calculations on it, instead every number that is generated is checked on the spot for a certain property and if it has it, well, we have a winner, the number is returned as output and there's no need to go through the rest of the humongous list. If sadly no desired number is found and we unsuccessfully go through all possible permutations, it outputs a "0".

I have also opted to make it a command line program to feed values to it via gnu parallel for faster work.

So here is the code

I'm working with HTML, CSS and Bootstrap4. I need a navbar that should be fixed when I scroll. I did everything but after a little scroll, the navbar again won't fixed. I wonder if there is any way to solve this problem with bootstrap but if you can't, just tell me what to do with Css. Thanks

The existing code shows a list of buttons of varying interests. Users can tap to select which interests they prefer.

However, if the user has already selected their interests beforehand and comes back to this page, it's illogical to get the users to choose from a fresh state again.

I want to repopulate what the users have previously chosen and reflect back on the screen as chosen (which = widget.viewInterest.isChosen). The color of container will be Color(0xff0B84FE), & color of text is Colors.yellow, as seen in the code below.

Let's say user has chosen this list List UserInterests = [ "☕ Coffee", "🎭 Theaters", ];

QUESTION: How to make containers that contain these strings bool true (which is widget.viewInterest.isChosen), similar to when users have tapped on the respective buttons?

Attached is truncated code:

so i found this snippet of code that lets you filter markers when you select them from dropdown, the code actually works if i take out the radio buttons from the dropdown and click them, but if i put them back in an actuall dropdown menu, it doesnt filter the markers, it just stays how it is. I want them to work like this - if i Select Rīga from the dropdown, only show markers that have it as marker[4].

I'm fairly new to Pandas and I understand to handle data it is often a good practice to in them, create dummy variables or even create new columns in the DataFrame. However I came across these lines of code and cannot understand what it does. It was intended to group data of1 categorical column into 3 columns by age.

I am trying to making a python autogenerated Email app but there is a problem when running the code the traceback error shows up but I did write the code as my mentor write it down. This is the code that I used:

I need to remove the right icons that are the up and down arrows from a Material UI TextField that I modified from the Material UI documentations (https://material-ui.com/components/autocomplete/#autocomplete) Highlights section.

I tried some solutions from stack overflow like (Remove the arrow and cross that appears for TextField type=“time” material-ui React) and (Remove the arrow and cross that appears for TextField type=“time” material-ui React) but they didn't work and, I ended up with the following code:

App.js: