facebook | Facebook strategy for Opauth

ListView is a widget that represents a list of widgets arranged linearly.

You have multiple constructors for this widget. The one you used, ListView.builder() is the one suggested when there is a large number of children to be displayed. (In your example, if the Map contains many players.)

The default constructor only requires a List and is considerably more simple. If you don't have a large map, I strongly suggest you to use this one instead. But since you tried using the builder one, you should do as follow:

• First, have your data arranged in a List. This way you can access the elements through an integer index easily: List[0]. Ideally you should have the data already in a list form, but if you need you can convert it like this:

In your situation, how about the following modification? I thought that when setValues is used instead of appendRow, the process cost will be able to be reduced a little. Ref

From your image, it shows that the password (firsttt) is in the database in plaintext. However, when you are querying it, you are using md5 to hash it before you check the database. The MD5 hash of firsttt is 568745cb18115e238907fbf360beb37a and since that doesn't match the field in the database it does not return a result. If you want to see the result return positive, you can remove the md5() function for now just to see it but you should secure the database in some other way.

MD5 alone would not be secure as common passwords are easily detected. The passwords need to be hashed and salted, which makes them more unique and unindentifiable.

For example, php provides a password_hash function that will hash and salt the password: https://www.php.net/manual/en/function.password-hash.php

which you should use when adding a user to the database.

They also provide a password_verify function that will be able to tell you if the submitted password is correct: https://www.php.net/manual/en/function.password-verify.php

Read here for more information: https://www.php.net/manual/en/faq.passwords.php

for Admins and moderators name you can do this :

You have a for loop but are returning an element on the first iteration (line 130 in your sandbox). You probably want to map them instead.

While I do not know how to deal with this problem directly, I had a somewhat similar issue(and solved). The difference is:

• I use fairseq
• I can run my code on google colab with 1 GPU
• Got RuntimeError: unable to mmap 280 bytes from file : Cannot allocate memory (12) immediately when I tried to run it on multiple GPUs.

From the other people's code, I found that he uses python -m torch.distributed.launch -- ... to run fairseq-train, and I added it to my bash script and the RuntimeError is gone and training is going.

So I guess if you can run with 21000 samples, you may use torch.distributed to make whole data into small batches and distribute them to several workers.

1. what is the URL should do or show.

See if this works:-