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I'm trying to get my PrimeFilm PF 1800AFL film scanner working on Windows 10, but I'm stuck. Here's what happens: When I connect the scanner via USB, Windows detects the device. I installed the driver package from the Scanace website. If I manually install that driver, the device appears as "AFL Film Scanner" under Other devices, but neither VueScan nor CyberView can use it. If I let Windows automatically search for a driver, it installs "Multiple Frame Film Scanner" under Imaging Devices. With that driver installed, both VueScan and CyberView detect the scanner, and VueScan identifies it as PIE PrimeFilm 1800 AFL. However, when I press Preview or Scan, the scanner pulls the film in but then ha

I am trying to create an extension in which user can press an shortcut which perform some task in chrome. The command(shortcut) would work globally whether the chrome is minimized or inside a chrome. To solve this i added a global key attribute in manifest json file and i have removed extension first then again loaded it into chrome.As i tried to press my shortcut it doesn,t work either in chrome or outside of chrome(while it minimized). For cross check i checked keyboard shortcut configuration from extension hamburger menu i seen there the shortcut added as Global.I again changed it to the in chrome mode and i pressed again shortcut now the things are working fine.I also checked that my shortcut is not conflicting with other shortcut or built in. here according to docs i used combination of Ctrl+Shift+(value from 0 to 9) here i used 1. As Based on official docs recommendation So my overall problem is how i should fix global activation problem of commands

I'm sending a POST request from a Next.js 14 client to a FastAPI endpoint. The request body matches my Pydantic model exactly, but I keep getting a 422 Unprocessable Entity instead of a 200. Expected: the endpoint accepts the JSON and returns the created object. Actual: {"detail":[{"loc":["body","email"],"msg":"field required"}]} FastAPI endpoint: @app.post("/contacts") async def create_contact(contact: Contact): return contact Next.js fetch: await fetch("/api/contacts", { method: "POST", body: JSON.stringify({ email: "[email protected]" }), }); What I've tried: confirmed the payload in the network tab, checked the model field names match. Removing the body entirely gives the same error.

Can communication with the RS-232 serial port (COM1) be initiated in the emu8086 application using the `out` instruction, and which registers are used? If so, how? Thank you. This is for the purpose of reusing the x86 kernel from the examples.

As we all know , we can use struct and class to define our type based on our usage and requirements of our project and we also use it in OOP . But my question is that , are there any significance difference between the class and struct ? The only difference i can find is their default access specifier , where for struct is public and for class is private.

I'm creating a simple Python library for Ubuntu-based Linux distributions that retrieves information about memory, the CPU, and the motherboard. For each module, I've created a helper function, for example, _get_memo_info(keyword: str), which returns a list of memory information in dictionary form. We need to specify the keyword parameter to get the information we need. My question is, which is better for the user? Option 1 The helper function will become the main function and i'll create a custom argument to display all the information, for example, get_mem_info("-all"), and then, once I find the information I want to retrieve, I simply change the argument, for example, get_memo_info("MemFree"). In my opinion, the advantage is that it gives us the freedom to access all available information, while the disadvantage is that it might require a few extra steps, as I mentioned earlier. Option 2

I want validate student data i want upload file and that file having data check data validation and downloads correte validate data file and or error file also in dot net mvc core how i developed it tell me and gave me code for refresh for how i Development that and also UI

I am running a VBA macro that processes a large dataset (around 500,000 rows and 30 columns). The data is read into a Variant array, processed in memory, and then written back to a new worksheet. The processing phase in the array works perfectly and fast. However, when I try to dump the entire array back to the worksheet using the following line, Excel crashes with Run-time error '7': Out of memory: Sheets("Output").Range("A1").Resize(UBound(MyArray, 1), UBound(MyArray, 2)).Value = MyArray This happens intermittently, usually when the system has other Office applications open. I have already verified that: I am using 64-bit Excel, so memory limits should not be an issue. ScreenUpdating, Calculation, and EnableEvents are all set to False before execu

UPD: the question is answered by the comment of @cards I need to get a source code of Python function which was declared via using exec inspect.getsource can't help me with that. Simplified Example: from inspect import getsource def declare_func(): func_code=\ '''def new_func(): print("Hello, world!")''' exec(func_code) return locals()['new_func'] func = declare_func() print('=run=') func() print('=func=') print(func) print('=code=') print(getsource(func)) Output: =run= Hello, world! =func= <function new_func at 0x000001DF77173E20> =code= ... OSError: could not get source code How can I get source code of the 'func' ? Note1: I can't avoid using exec for declaration of

I am trying to scrape this Web page, but the page keeps downloading an empty page that reads: Connection error. Sorry, your request to load the app is timing out. Please check your internet connection and refresh the page. If the issue continues, try in a different browser and then contact support Refresh page → I wonder what I might be able to do to circumvent the issue. I wonder whether the issue really has to do with a time-out issue, as suggested by the message, which is why I'm curious what 'tricks' I should try at that stage. I am using PhantomJS, which I am 'driving' through R, with the following code: library(readr) library(webdriver) dr <- run_phantomjs() ses <- Session$new(port = dr$port) ses$go("https://virtual.oxfordabstr