pricing | Pricing classes and tools with CLDR-backed locale | Internationalization library

I have a website that I am making and I am adding a email portion that emails me their email and their message. I want to add another section that is a dropdown. It will have the three different pricing options, basic, pro, and premium. Then, whichever option they selected is put into the email so I can see it at the bottom of it. here is the code I have so far:

API retuned json object like below 2 forms.

Form 1

Here is my code

https://codepen.io/hobbesa/pen/jOGREKy?editors=1111

I am trying to get price of only weekdays.How do I do that?

I am unclear abut Vertex AI pricing for model predictions. In the documentation, under the heading More about automatic scaling of prediction nodes one of the points mentioned is:

"If you choose automatic scaling, the number of nodes scales automatically, and can scale down to zero for no-traffic durations"

The example provided in the documentation later also seems to suggest that during a period with no traffic, zero nodes are in use. However, when I create an Endpoint in Vertex AI, under the Autoscaling heading it says:

"Autoscaling: If you set a minimum and maximum, compute nodes will scale to meet traffic demand within those boundaries"

The value of 0 under "Minimum number of compute nodes" is not allowed so you have to enter 1 or greater, and it is mentioned that:

Default is 1. If set to 1 or more, then compute resources will continuously run even without traffic demand. This can increase cost but avoid dropped requests due to node initialization.

My question is, what happens when I select autoscaling by setting Minimum to 1 and Maximum to, say, 10. Does 1 node always run continuously? Or does it scale down to 0 nodes in no traffic condition as the documentation suggests.

To test I deployed an Endpoint with Autoscaling (min and max set to 1) and then when I sent a prediction request the response was almost immediate, suggesting the node was already up. I did that again after about an hour and again the response was immediate suggesting that the node never shut down probably. Also, for high latency requirements, is having autoscale to 0 nodes, if that is indeed possible, even practical, i.e., what latency can we expect for starting up from 0 nodes?

I tried following the information here, editing it to match my needs, but so far it's not working. I'm trying to hide a parent div with two child elements. The parent div is part of a list, all with the same classes, and each div has two child elements: an input, and an image. Each input has a unique "data-wapf-label" that I'm trying to select so that I can hide the parent div. The HTML is as follows:

New react user here, I'm encountering the following error in my terminal when I install eslint-plugin-react and eslint-plugin-react-hooks.

I am using Microsoft Computer Vision API for OCR processing and I noticed that they are getting charged as S3 transactions instead of S2 in my bill.

I'm using the .NET SDK and the API I am using is this one. https://docs.microsoft.com/en-us/dotnet/api/microsoft.azure.cognitiveservices.vision.computervision.computervisionclientextensions.readasync?view=azure-dotnet

I have also confirmed that the actual REST API the SDK calls is the following POST /vision/v3.2/read/analyze https://centraluseuap.dev.cognitive.microsoft.com/docs/services/computer-vision-v3-2/operations/5d986960601faab4bf452005

According to documentation, that should be the OCR Read API, am I correct? https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/vision-api-how-to-topics/call-read-api

I am puzzled as to why my calls are getting charged as S3 instead of S2. This is important for me because S3 is 50% more expensive than S2. Using the Pricing Calculator, 1000 S2 transactions is $1, whereas 1000 S3 transactions is $1.5. https://azure.microsoft.com/en-us/pricing/calculator/?service=cognitive-services

What's the difference between OCR and "Describe and Recognize Text" anyways? OCR (Optical Character Recognition) by definition must recognize text. I am calling the Read API without any of the optional parameters so I did not ask for "Describe" hence the call should be S2 feature rather than S3 feature I think.

I already posted this question at Microsoft Q&A but I thought SO might get more traffic hence help me get an answer faster. https://docs.microsoft.com/en-us/answers/questions/689767/computer-vision-api-charged-as-s3-transaction-inst.html