fortify | Backend controllers and scaffolding for Laravel | Authentication library

I have a database with a column named mail for the users table, but in Laravel it's email. My problem is now the forgot-password function.

I will always get the following error:

I have installed manually fortify in my laravel Starter Kit and as I need to add some additive checks on login

I app/Providers/FortifyServiceProvider.php I do :

I am currently working with the Laravel 8 multi Auth web application.it has 5 types (admin , ecentre , ccentre ,farmer ,buyer) of account with different role.2 type user account created by admin (ecentre ,ccentre) and farmer and buyer account by using registration system in the authentication system. I used the Laravel livewire fortify authentication system.

my problem is one login to any type of account successfully login. Then log out system particular account and log in to the same account with no problem. But logout this account and log in different account with the correct credential do nothing(login request send but do not login) and stay on the login page. Then try it again login with the same user email and password successfully login. That is the real problem I have facing. Anyone facing this issue or any idea to solving this problem .(This issue is independent accentually user type. Every user type have the same issue )

I Check to inspect network tab both successes fail stage screen shoot

Failed Attempt Ststus

Success Attempt ScreenShot

I spent nearly whole day to figure out what's going on. I have login vue component the email and password values need to be sent to server. But the Login controller is built in Fortify controller, so I don't know why I'm getting error 500 and error 422 (I get them different times, not the same time, but they are the only results that I get with my various experiments). I created js file for vuex storage methods and modules and used axios.post in module and this.$store.dispatch in login vue component.

Here's the important parts of code

Login.vue

I have a dataset about accidents in the UK. Among other variables it contains the month of the accident and the severity (ranging from 1 to 3). Thus, you can imagine the dataset like this:

I would like to produce a bar chart with the months on the x-axis and the relative share of accidents out of the given severity class that happend in this month on the y-axis. This means each month should have three bars, let's say red, blue and green. Summing the relative share indicated by all bars of one color should equal to 100% for each color. I.e. if blue means Accident_Severity = 2 and the blue bar indicates 10% for January, this would mean 10% of all accidents with severity of 2 happend in january.

I managed to get these numbers as a table doing the following:

What is the simplest way to print log output to console when running java program without getting the fortify error Poor Logging Practice: Use of a System Output Stream?

I want to print out few lines so it is displayed after the program is finished. System.out.println isn't accepted as best practice. What other method can I use?

I have multiple data.frame objects of unequal lengths. I would like to find the most recent date in all of them and store the data somewhere.

Here is an example of hopefully reproducible code to illustrate what I would like (with comments and sources). This gives 7 data.frame objects of variable lengths:

I regularly get several xts objects with dates as row names. I have to transform those xts objects into data.frame objects, but when I do that, the row names as date become a new 1st column named Ìndex containing the dates. But I need those Index columns to be called Date.

Therefore, I want to iteratively change the 1st column names of all the newly converted data.frame objects from Index to Date.

However, when I try the (reproducible) code below, at point 4, I systematically get an Error in `colnames<-`(`*tmp*`, value = `*vtmp*`) : attempt to set 'colnames' on an object with less than two dimensions

I need to represent an important number of graphs. To do that I used a the facet_wrap_paginate function, but I only have the second page printed/plotted.

Here is a sample of my data: