avs | python implementation of alexa voice service app , 支持DuerOS | AWS library

Check out the code. For most parts it's the same as in snippet above, but there is some changes:

• for step in replay buffer (which is called in code memory_store) namedtuple is used, and in update it's much easier to read t.reward, than looking what every index doing in step t

• class DQN has method update, it's better to keep optimizer as attribute of class, than create it every time when calling function backprbgt

• usage of torch.autograd.Variable here is unnecessary, so it's also was taken away

• update in backprbgt taken per batch

• decrease size of hidden layer from 360 to 32, while increase batch size from 40 to 128

• updating network once in 10 episodes, but on 10 batches in replay buffer

• average score prints out every 50 episodes based on 10 last episodes

• add seeds

Also for RL it's take a long time to learn anything, so hoping that after 100 episodes it'll be close to even 100 points is somewhat optimistic. For the code in link averaging on 5 runs results in following dynamics

X axis -- number of episodes (yeah, 70 K, but it's like 20 minutes of real time)

Y axis -- number of steps in episode

As can be seen after 70K episodes algorithm achieves reward comparable to highest possible in this environment (highest -- 500). By tweaking hyperparameters faster rate can be achieved, but also remember it's DQN without any modification.

I will just answer the title’s question “How to extract variable from a class with multiple variables, within a list?” (I don’t like reading non-English code).

Let’s say you have a list:

You need to seek to the previous key frame and decode until you have the frame that you want. You can't seek to ANY frame as the decoder will not decode properly the requested frame.

You can find a detailed discussion and code here

You have to handle the form submit via some kind of javascript and AJAX request if you want to keep the modal open. If you don't, the page will be reloaded no matter if the validation pass or not.

You could also use https://laravel-livewire.com/ if you are not confortable with javascript.

Telnet verifies the port is externally available via listeners.

It does not verify your advertised.listeners are correct for clients to connect to.

https://www.confluent.io/blog/kafka-listeners-explained/

If logstash is running in the same VPC, you should expect the internal EC2 address from the error message to work, otherwise, you'll need to configure a different address

By the way, Kafka Connect framework is built into Kafka and can also be used to write to files

You can do something along the lines of

The green video is a result of encoding frames filled by zeros in YUV color space (pixel with Y,U,V value equals 0,0,0 is displayed as green colored pixel).

You are configuring sws_getContext, but you are not using it.

After decoding the grabbed video frame, the result is a frame with BGRA pixel format.
We should convert the frame from BGRA to YUV420p pixel format, and write the result to the output encoder.

When executing your code sample, I have encountered some strange behavior.
I tried to fix the code, using code snippets from the following post.

Note:

• I am still learning how to use the C interface of FFmpeg.
  There are implementation details that I am not sure about.
  Some polishing is still required...

Updated code:

Firstly, your current logic is flawed, you get a random number between 0 and 9999, however you don't make that value fixed width. As a result, if your random numbers were 7, 9, and 2, you'd end up with 792 not 00700090002. You need to add the leading zeros. I do this with CONCAT and RIGHT.

Next I move the expression into the FROM so that it's materialised and easily usable. Then we can use SUBSTRING and CONVERT to get the 2 parts of your number and SUM them, and then finally apply the final logic. I then inject the periods into the string.

Your code seems fine except for the scope parameter in the Metric Alert resource block. You should use scopes =[azurerm_servicebus_namespace.example.id] instead of scopes = [azurerm_servicebus_queue.example.id ] as deadletteredmessages is available for Namespaces which will monitor average count of dead-lettered messages for queue/topic present inside a namespace and also as the Metric_Namespace is Microsoft.ServiceBus/namespaces the scope should be the ID of Namespace.

I tested it using your code by making the above change :