Village | esoteric programming language about being a forgetful | Interpreter library

¨ im new to python and i have this program where i have to upload my json file data into my database table named tweet but i keep receiving the same error no matter what i do any help would be appreciated, thank you

please help me out

The code below shows how I'm reading / deserializing a geoJSON file into an ExpandoObject using Newtonsoft.Json.

As I'm looping through the items how do I test if the item contains the attribute place?

Or can I do this in a LINQ query?

As can be seen I've tried several methods from this page none are working

I have a Spring Boot app which uses Hibernate to generate the below query to a postgresql database. On a fast, local system (6 fast cores with HT, lots of ram, fast ssd) the query to the database runs at a reasonable 12-65 ms.

To my surprise, once I deployed to one of Digital Ocean's virtual servers, the response of the same query dropped to an unacceptable 150-250 ms or higher. Since this is still a test environment, with almost no data on or traffic to the server, I wasn't really expecting even the cheapest servers, with only 1 shared CPU and 2gb of ram, to have any problems with this query. Am I simply in the wrong here? Upgrading the CPU to something heavier increased the performance back to what I was expecting.

In any case, is there anything wrong with the below query? Can it be optimized further? Since it's an important part of the app, I want it to be as performant as possible. Since the joins are likely taking the majority of the execution time, I'm considering smashing all the tables together into one table, at which point I'd only need a large where clause to achieve the same but without the joins. Would that be faster?

NOTE: This isn't specific to Minecraft Fabric. I'm just new to rigid pre-runtime optimization.

I'm writing an API hook for Minecraft mods that allows the mapping of various tasks to a Villager's "profession" attribute, allowing other mods to add custom tasks for custom professions. I have all of the backend code done, so now I'm worried about optimization.

I have an ImmutableMap.Builder that I'm using to store the other mods' added tasks. Problem is, while I know that the "put" method will never be called at runtime, I don't know if the compiler does. Obviously, since this is a game and startup times in modpacks are already long, I'd like to optimize this as much as possible, since it will be used by every mod that wishes to add a new villager task.

Here's my current source code for the "task registry":

Each year, a number of people move into a village. This is represented by the following vector:

x <- c(304, 213, 688, 400, 122, 449, 143, 90)

Each year, 10% of people leave the village. The proportion of people from each cohort remaining after a certain number of years is (for 10 years):

decay <- (1-0.1)^(0:10)

Using R, how do I combine x and decay to construct a matrix showing the number of people living in the village each year from each cohort?

Here is an example of the result I am aiming for:

I hope you are all doing well !

I have ran into a problem concerning my Flutter app : I've been following a tutorial on Youtube on how to use sqflite in Flutter, and I couldn't get my toMap function to work in my database class... It always returns me the error "Instance member "toMap" can't be accessed using static access". Does anyone know what this is about? I really don't understand it... Thanks in advance !!

Down below, the problematic code :

poi.dart

My difficulty is that when using markerClusterOptions() the point closest to the exploded circle cannot be clicked on. No issue with the points further away from the cluster marker. In the below example the popup works well for the 3 slightly further away markers but not the closest one to the north of the circle. Is there a way of setting the minimum distance from the cluster marker or an alternative way to fix this?

A reprex for the dataset

Beginner here, I am trying to isolate the names of neighborhoods from a dataframe of Toronto based on a cluster value I've assigned them. Instead of a list of 3 unique items, I end up with a list 2363 items long.

I'm building a UI on flutter using some dummy data. I have modelled a class named movies