pump | Transmit large files over lossy networks using Raptor | Runtime Evironment library

It depends. You could try:

StreamSaver is targeted for those who generate large amount of data on the client side, like a long camera recording for instance. If the file is coming from the cloud and you already have a Content-Disposition attachment header then the only thing you have to do is to open this URL in the browser.

There is a few ways to download the file:

• location.href = url
• download
• </code></li> <li>and for those who need to post data or use a other HTTP method, they can post a (hidden) <code><form></code> instead.</li> </ul> <p>As long as the browser does not know how to handle the file then it will trigger a download instead, and that is what you are already doing with <code>Content-Type: application/octet-stream</code></p> <hr /> <p>Since you are downloading the file using Ajax and the browser knows how to handle the data (giving it to main JS thread), then <code>Content-Type</code> and <code>Content-Disposition</code> don't serve any purpose.</p> <p>StreamSaver tries to mimic how the server saves files with ServiceWorkers and custom responses.<br /> You are already doing it on the server! The only thing you have to do is stop using AJAX to download files. So I don't think you will need StreamSaver at all.</p> <hr /> <h3>Your problem</h3> <p>... is that you first download the whole data into memory as a Blob first and then you save the file. This defeats the whole purpose of using StreamSaver, then you could just as well use the simpler FileSaver.js library or manually create an object url + link from a Blob like FileSaver.js does.</p> <pre><code>Object.assign( document.createElement('a'), { href: URL.createObjectURL(blob), download: 'name.txt' } ).click() </code></pre> <p>Besides, you can't use Angular's HTTP service, since they use the old <code>XMLHttpRequest</code> instead, and it can't give you a ReadableStream like <code>fetch</code> does from <code>response.body</code> so my advice is to just simply use the Fetch API instead.</p> <p><a href="https://github.com/angular/angular/issues/36246" rel="nofollow noreferrer">https://github.com/angular/angular/issues/36246</a></p>

From the docs: "The framework may combine semantics labels in certain scenarios, such as when multiple Text widgets are in a MaterialButton widget. In such a case, it may be preferable to match by regular expression."

In this case, the selected circle has a superscript.

Replace the string in the finder with a regular expression and the test passes.

The cells of your dataframe contain tuples of float. This is an unusual datatype.

So you need to give arrow a little bit of help to figure out the type of your data. To do so you need to provide the schema of your table explicitely.

Without getting too crazy with types, I'd say that you want your output to be of this shape:

Let us try findall

If you are looking for Epic-specific support, I'd recommend reaching out to open@epic.com, (Epic's free, public support option), joining App Orchard (Epic's paid support option), or working with the healthcare organization's IT team directly.

That said, if you are looking at extracting data from Epic, and loading it into the Azure data warehouse (I'm reading between the lines and guessing your use case), we've heard of several folks looking to do that. Right now, there is not a good FHIR-based method of doing data warehouse synchronization that is supported by Epic. There are good non-FHIR options though (SQL extracts or HL7v2 event driven messaging). If you are using the Azure FHIR storage option, you'll need to do a data transform, but that is a far better option than trying to use an inferior exchange paradigm.

I solved it:

change:

The kernel died not because of your computer, but due to the exit() command. As confirmed by a Jupyter Notebook developer on Github:

At present, using exit() will make the notebook think that the kernel has died, and it will automatically start a new kernel.

If you simply want to stop the execution, wrap your code in a function and use return instead.