Sizes | View your app on different device and font sizes | iOS library

I have a sap.m.Dialog form:

When I click on «Forgot password?», I show a hidden sap.m.Input field:

The problem is that the extended form is now much bigger then the original one.

I've tried to figure out why but can't find a source of the issue.

A click on the «Forgot password?» calls onResetPasswordForm:

We are using stream ingestion from Event Hubs to Azure Data Explorer. The Documentation states the following:

The streaming ingestion operation completes in under 10 seconds, and your data is immediately available for query after completion.

I am also aware of the limitations such as

Streaming ingestion performance and capacity scales with increased VM and cluster sizes. The number of concurrent ingestion requests is limited to six per core. For example, for 16 core SKUs, such as D14 and L16, the maximal supported load is 96 concurrent ingestion requests. For two core SKUs, such as D11, the maximal supported load is 12 concurrent ingestion requests.

But we are currently experiencing ingestion latency of 5 minutes (as shown on the Azure Metrics) and see that data is actually available for quering 10 minutes after ingestion.

Our Dev Environment is the cheapest SKU Dev(No SLA)_Standard_D11_v2 but given that we only ingest ~5000 Events per day (per metric "Events Received") in this environment this latency is very high and not usable in the streaming scenario where we need to have the data available < 1 minute for queries.

Is this the latency we have to expect from the Dev Environment or are the any tweaks we can apply in order to achieve lower latency also in those environments? How will latency behave with a production environment loke Standard_D12_v2? Do we have to expect those high numbers there as well or is there a fundamental difference in behavior between Dev/test and Production Environments in this concern?

I would like to find minimum distance of each voxel to a boundary element in a binary image in which the z voxel size is different from the xy voxel size. This is to say that a single voxel represents a 225x110x110 (zyx) nm volume.

Normally, I would do something with scipy.ndimage.morphology.distance_transform_edt (https://docs.scipy.org/doc/scipy-0.14.0/reference/generated/scipy.ndimage.morphology.distance_transform_edt.html) but this gives the assume that isotropic sizes of the voxel:

I have these code below, all seems working but when I try to run unit test it returns an error below.

Here is my seeder (this seeder is called many times in different test cases):

I need to find the sizes/metadata of externally hosted images in a document (e.g., markdown documents that have image tags in it), but need to do it without actually downloading the image.

Is there any way to do this easily on NodeJS/ExpressJs using javascript? Some of the solutions are many years old and not sure if there are better methods now.

I'm using the Xfinium PDF library to create PDF documents, programmatically. I'm importing pictures in with varying sizes that need to be added to the PDFs as pages. The DrawImage documentation states

If both width and height are negative then the image is scaled automatically to fit the given area and the original aspect ratio is kept.

However, when I try that, I don't see anything on the page. Must I add the image to a parent container that specifies a height and width? If so, how do I do that? I was assuming that it would take the height and width of the parent page. Here's my code snippet:

I am coding a program in OpenCV where I want to adjust camera position. I would like to know if there is any metric in OpenCV to measure the amount of perspectiveness in two images. How can homography be used to quantify the degree of perspectiveness in two images as follows. The method that comes to my mind is to run edge detection and compare the parallel edge sizes but that method is prone to errors.

Edit: It looks like this is a known issue with the "cascade" method. Results that return NA values after the first attempt don't like being converted to doubles when subsequent methods return lat/lons.

Data: I have a list of addresses that I need to geocode. I'm using lapply() to split-apply-combine, which works, but very slowly. My thought to split (further)-apply-combine is returning errors about dim names and sizes that are confusing to me.

I have a select box that I need to fill with 6 options. For example,