temper | Temper compiles your templates for client and server side | Runtime Evironment library

why my code does not read my specified keys from my enum.

The code itself compiles fine and the program runs without any runtime errors.

Header file with the enum:

I am revisiting Apple Curriculum books and trying to complete exercises in different ways. The problem is simple: I am given an array, which I have to loop through to count votes.

I've been trying to learn how to add items to my cart on BestBuy.ca. Unfortunately, whenever I attempt to add an item to my cart I get the following error:

However, on the American version of the site, the exact same code (only modified classname) succeeds at adding items to the cart. Anyone know why this is happening?

Canadian site code:

First of all, I already dug the internet but I couldn't find a solution.

So, Here's what I did to my website and my step-by-step questions:

1. I have a project running in my XAMPP

(Edited localhost to 127.0.0.1:80)

(Edited htdocs to my workspace folder)

1. I tried setting up an htaccess file for my website just to remove php and html extensions:

Here you can see it's content:

Okay so the reason this error is weird is that it wasn't there till i added bluetooth functionality to my project. If i can't resolve this i might have to make my app from scratch an as a flutter beginner, it took me weeks to get this far. let me just describe my app: It is a health app paired with a wearable band. After login, the user is prompted to connect to a device and once they connect, HomeScreen() is returned which shows the temp and pulse data sent from arduino through bluetooth. For now,pulse is hardcoded but temp is sent from sensor to app, and updated to firestore then retrieved and displayed. So the app has both a user and a caretaker interface.

here is main.dart

So I have a point cloud or a 3D grid, each grid contains the following data (features/attributes): Grid type (building, tree, grass, soil, or blank). But then space type "Buildings" has sub-attributes such as conductivity and reflective values. Besides, the attributes of the cells there are a couple of individual other attributes that apply to the whole data set, examples of these attributes are wind speed, temperature,....etc. I would like to know what Deep learning algorithm would be helpful to predict the values of air temperature in each grid cell (in the x, y direction only) based on the 3d attributes I explained above. Also, what would be the best way to prepare a pipeline for this?. The goal is to predict air temperate values when I feed the trained model a data set that has geometric model info, the wind direction, and the wind speed)

Here is an example image of 300 images I have ( have the images, and I have a data set of all the attributes of each grid cell, and the air temperature value). The image is modeled inside a cube of 60x60x60 cells, when a cell contains a building the space type is set to a "building", when a cell has air the space type is set to "blank" and so on...., as I mentioned, each "building" cell contains additional sub-attributes. The values I'm trying to predict are values of air temperature at each BLANK cell (around buildings) at an x,y plane (let's say at height z=2), in this image, the x,y plane is the colored plane. I have the values in numbers, not just colored planes.

Also here is a small portion of the data I have and the results (y values = air temp).

I want my app to place an automated call to a specific number when a certain condition arises. The two popular plugins are flutter_phone_direct_caller and url_launcher. Url launcher's problem is that the method will push the number to the dialer of your phone but wont start the call but flutter_phone_direct_caller claims it will initiate. This is the example in their documentation.

I have two lists named 'query' and 'data', both of which contain strings. I need to count how many anagrams of each string in 'query' there are in 'data'.

For example for the following two lists:

query = ['no', 'result', 'oh', 'abc', 'temper']

data = ['no', 'on', 'bca', 'oh', 'cba', 'repmet', 'serult', 'pemter', 'tluser', 'tlures', 'pterem', 'temrep']

the output would be a dict with the anagram counts for each word:

{'no': 2, 'result': 3, 'oh': 1, 'abc': 2, 'temper': 4}

I have an initial brute force solution using nested loops but was wondering how I should go about optimizing this since it is pretty slow when the lists get larger.

I have a list of integers T, and each number represents the temperate for that day. I would like to return a list as the output with each index representing how many days I have to wait until there is a warmer day.

So for example: