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sharepoint online – How to handle a list threshold error?

I write the script below for SharePoint Online and I have encountered an error regarding list thresholds.
I'm trying to find the amount of files in a certain document library and I would eventually like to write code that allows me to remove specific permissions from different sites.
Is it something that I can correct in this code?

$fullSite = "https://website.sharepoint.com/sites/sitename"
$list = "name"

Connect-PnPOnline -Url $fullSite -UseWebLogin 

$listItems = Get-PnPListItem -List $list 

    $count = 0
    foreach($listItem in $listItems){
        $count = $count + 1
        }
    Write-Output $count

How can I set a threshold for the points I want to select in an image?

I would like to ask you how I can correct a number of points to show in an image.
In the previous article (Is it possible to get the coordinates only for points highlighted from an image?), JimB suggested a good solution for determining the outline of the image. Image and get the coordinates of these points. It would be interesting to know if there is a way to select a certain number of points that can "draw" the image (for example, 10).
I've tried using MaxFeatures -> 10 in ImageCorners, but he selects the points randomly.

enter the description of the image here

Thank you for all the help you will bring.

php – Excludes products whose stock is below the low stock threshold of the store loop

On our Shop page, we have various badges (things like "Series 1") that, when clicked, are linked to their respective product tag pages. However, we also want a "weak stock" badge. The problem is that we have to dynamically determine if a stock is weak. We can not just mark it.

I make the weak stock insignia link to his own page with Woocommerce (products) shortcode, but now I only have to show those with stocks in this range. So far, all the solutions I've found mention the deletion of products by performing a taxonomy query, but I can not do it because I can not manually assign them to a label / category to low stock.

For reference, here is the taxonomy query that I used as a basis:

function custom_pre_get_posts_query( $q ) {
    if( is_shop() ) {
        $tag_query = (array) $q->get( 'tax_query' );

        $tag_query() = array(
               'taxonomy' => 'product_tag',
               'field' => 'slug',
               'terms' => array( 'retired' ), // Don't display products with the tag "retired"
               'operator' => 'NOT IN'
        );

        $q->set( 'tax_query', $tag_query );
    }
}
add_action( 'woocommerce_product_query', 'custom_pre_get_posts_query' );

dnd 5th – Does Arcane Abandonment permanently ban creatures below the threshold?

Arcana domain clerics get a Channel Divinity option called Arcane abjuration. Here is the relevant part of the description:

Once you have reached the 5th level, when a creature fails its save roll against your Arcane Abuse trait, the creature is banned for 1 minute (as in the banish spell, no concentration required) if it is not on his original plan nor in his challenge. the score is equal to or less than a certain threshold, as shown in the Arcane Banishing Chart.

The description of the spell for banishment says:

If the target is native to an existence plan different from the one you are on, the target is banned with a slight popping sound and returns to its original aircraft. If the spell ends after one minute, the target reappears in the space it left or in the nearest unoccupied space, if that space is occupied. Otherwise, the target does not return.

It looks like a creature below the CR threshold for Arcane Banishment is permanently returned to its original plane. However, the word "banished for a minute" could be interpreted as saying that after a minute they come back.

Are creatures banished by Arcane Abjuration returned to their original aircraft permanently, or only for one minute?

Selling a US $ 350 Threshold Account and a $ 500 Canadian Account

Hello friends.
I am new to the forum but I have been for years.
I am selling a $ 350 US account or a $ 500 Canadian account. I will see your ad first, then I will get paid. First job, then load. If you like my method and I can work continuously, I can run your ad continuously. Interested can send messages.
My Skype:

sharepoint online – Empty SPO bin ignores threshold

I am trying to delete a SharePoint Online Recycle that contains more than 1,000,000 list items.

Clear-PNPrecycleBinItem -URL $siteURL

It generates an error on the threshold limit of 5,000 list items.

same Get-... does not work.

Ideas / suggestions?

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What is the confidence threshold for research?

Assuming you have to find what you are looking for X % of the time needed to trust a search service and become a regular user of that service:

What number is X?

Links to research papers would be sincerely appreciated.

For example. Is there an official source for how often people find what they're looking for on google.com and related services? Are there regions (eg geographic) where the search facility is lower, and how does this decrease affect customer loyalty?

In addition, is there a documented region between there % and z % where trust accelerates and where each additional improvement generates a substantial return on investment (defined as an increase in the recurring use of the service)?

Finally, are there business search providers who have indicated how often their customers' employees should expect to find what they are looking for? For example, did anyone hear from Microsoft vendors suggesting such figures for SharePoint?

Background: I have been working on enterprise search solutions for 12 years. Especially for "ready-to-use" SharePoint deployments, I remember that many employees do not use internal search for lack of trust, because the search opportunity is less than 25%, sometimes even reaching the numbers at one number (which contrasts strongly with the experience they used google.com). To encourage homeowners to invest more, I guess it would be effective to show them where they are currently on the chart below and when they can expect their employees to start doing trust in the service.

enter the description of the image here

In this graph, "SharePoint" is considered the default use case of the product. "a document management and storage system" [W], where there is little or no editorial maintenance. "Intranet" means like the institutional website publishing editorial relevant articles and tools internally.

A customer states as a success criterion that "60% of the time, people should find what they are looking for". However, they do not have any data indicating that this is enough for users to start trusting the search. In my previous experience, if you can provide a 75% search opportunity, users come back to the service, and conversely, if it is less than 30%, they hesitate. But my sample of users and services is low and I would not talk about real research. In addition, data points are too few to have much value – you do not really need data to infer that 75% is good enough and 30% is really bad.

algorithms – For a set of numbers, get the maximum of 10 numbers below a certain threshold

First of all, if you replace 10 by 2, you can solve this problem in linear time using a two-pointer algorithm: a pointer starts at the bottom of the array and the other moves as far as possible while keeping the average. below the threshold. Then you advance the first pointer by 1 and move the second one until the average is below the threshold. Etc. We notice that the same algorithm also works for a weighted average.

Given $ N $ numbers, you can divide them into two halves of $ N / 2 $ numbers ("meet in the middle"). Each series of 10 numbers is divided into one $ a $-set of the first half and a $ b $-set of the second half, for some $ a, b $ by summing to 10. We can run the algorithm above for all these $ a, b $ (using the appropriate weights). This will improve travel time to be proportional to $ binom {N} {10} $ to be proportional to $ binom {N / 2} {10} $ (for $ N geq $ 20).

You can try to improve this by dividing the halves randomly and hoping for a balanced split, which will occur with reasonable probability. Then just try $ a, b $ who are balanced. (The extreme would be to aim $ a = b = $ 5but this is not necessarily the best choice.) Although it is a randomized algorithm, it can probably be degraded by taking just a little bit of execution time.