Java Spring: The import com.azure cannot be resolved but still runs, then half the time throws

In my build.gradle: implementation ‘com.azure:azure-communication-sms:1.1.18’ In my code: import com.azure.communication.sms.*; No matter what I refresh, clean, build, restart, in STS com.azure is always highlighted with: “The import com.azure cannot be resolved” When I actually run it and Proceed with launch even though errors exist, it actually works half the time. The other half though it … Read more

Wi-Fi, VPNs, Firefox, Chromium stop working with network [closed]

Closed. This question is not about programming or software development. It is not currently accepting answers. This question does not appear to be about a specific programming problem, a software algorithm, or software tools primarily used by programmers. If you believe the question would be on-topic on another Stack Exchange site, you can leave a … Read more

How do I iterate over indexed data in script filter query using elasticsearch?

I have following indexed data { “took”: 8, “timed_out”: false, “_shards”: { “total”: 1, “successful”: 1, “skipped”: 0, “failed”: 0 }, “hits”: { “total”: { “value”: 7992, “relation”: “eq” }, “max_score”: 1, “hits”: [ { “_index”: “test_index”, “_id”: “33952”, “default_fee”: 12, “custom_dates”: [ { “date”: “2023-11-01”, “price”: 100 }, { “date”: “2023-11-02”, “price”: 50 } … Read more

B-spline interpolation configuration with python

I am trying to interpolate a concave curve a bit like a gaussian shape , and the number of points is changing and can be very few. I tried a b-spline interplation spl = UnivariateSpline(x, y,k=2) y_fit = [max(spl(c),0) for c in x_new] I tried also a cubic spline. But i have two problems: it … Read more

Filtering rows of dataframe based on quintiles

I created a dataframe using the following code. I am triong to create a new dataframe that contains only rows from the original dataframe that are less than or greater than Q1 or Q4 for each PP. I tried filtered_df = df[df[‘Hours per action’].lt(first_quartile) | df[‘Hours per action’].gt(fourth_quartile)], but that isn’t right. I need all … Read more