Expansive | powerful string expansion library for .NET | Android library

Background

I am totally new to Python and to machine learning. I just tried to set up a UNet from code I found on the internet and wanted to adapt it to the case I'm working on bit for bit. When trying to .fit the UNet to the training data, I received the following error:

I'm new of Flutter and Dart in general, I'm trying to do a expansive computation during the loading of the page but the loader is stuck when I try to do something like this:

I am trying to train a model (U-Net) on RGB images with shape of ( 256, 256, 3) but when I fit the model I get the following error:

since firebase (firestore) does not offer any easy and non expansive solution to count the documents in a collection I plan to create several counters to keep track of the number of documents. I have the following setup:

I have a very basic scenario, outlined in the complete test case below. I am using .NET core 5.0.2, EF Core 5.0.3, running via vscode on win10. I am working with nullable reference types enabled, as well (as the code below illustrates).

If you jump all the way to the bottom and look at the unit test, it is failing based on the entities that should be added in the InjectRecords() method. The Child entries are never added.

I have tried all combinations of "add child via the parent's navigation collection, add child via directly adding to DbSet and setting parent FK as object OR integer key" and it only works when I reconfigure the model to destroy all of the relationships between Parent and Child and keep things reduced to weak references. There is obviously some very basic issue I am missing, because this isn't an interesting or expansive scenario at all. Very basic. I have also scoured google and SO for explanations, but have hit upon nothing to illustrate why this is not working.

Everything is in the test case below. On my system, when I run this, it fails starting at the second assertion. I would expect that all three assertions would pass (Pulling at Parents, pulling at Childs from the Childs DbSet, accessing the Childs via the Parent they were added to in InjectRecords()).

I have a mono threaded function that I would like to parallelize. The code is a bit too complex to show you, but here is a modelization of its behaviours

In the following scenario, I'm looking at the following workflow:

1. Top-level runner function, in the example below running_function, calls a number of smaller functions.
2. Some of those functions are computationally expansive, and will be called on the same set of argument repeatedly as runner functions is called reputedly by top-level script

Without attempt to cache objects the situation may be summarised as follow:

I’m developing a network proxy application using Java 8. For ingress, the main logic is the data-processing-loop: getting a packet in the inbound queue, processing the content data (e.g. protocol-adoption), and put it in the send-queue. Multi virtual TCP channels are allowed in the design, so a data processing thread, among a list of data-processing threads, handles a bunch of channels at a specific time duration, as a part of the whole job (e.g., for the channels with channel.channelId%NUM_DATA_PROCESSING_THREADS = 0, which is determined by a load-balancing scheduler). Channels are stored in an array and accessed by using the channeled as the index of the cell, which is wrapped by a class that provides methods like register, deregister, getById, size, etc., and the instance is called CHANNEL_STORE in the program. I need to use these methods in the main logic (data-processing-loop) by different threads (at least dispatcher thread, data processing thread, and the control operation thread for destroying a channel from the GUI). Then I need to consider concurrency among these threads. I have several candidate-approaches:

1. Use synchronized or reentrant locks surrounding the register, deregister, getById, etc. This is the simplest and its thread-safe. But I have performance concerns about the lock (CAS) mechanisms since I need to perform the operations on the CHANNEL_STORE (especially getById) at a very high frequency.

2. Designate the operations of CHANNEL_STORE to a SingleThreadExecutor by executor.execute(runnable) and/or executor.submit(callable). The concern is the performance of creating runnable/callables at each such destination in the data-processing-loop: creating the runnable instance and call execute – I have no idea will this be even more expansive than the synchronized or reentrant locks. In the reality (so far) there is post-operation so only putting runnable and no need to wait for the callable return in the data-processing-loop, although post-operation is needed in the control loop.

3. Designate the operations of CHANNEL_STORE to a dedicated task by a pair of ArrayBlockingQueue instead of Executor For each access to CHANNEL_STORE, put a task-indicator together with an attachment of parameters to the first queue, and then the dedicated thread loops on this queue by the blocking method take and operates on the CHANNEL_STORE. Then, it put the result to the 2nd queue for the Designator to continue the post-operation (currently no need, however). I regard this as the fastest, assuming the blocking queue in JVM is lock-free. The concern on this is that code is very messy and error-prone.

I think the 2nd and 3rd may be called "serialization".

The reason that I cannot simply assign tasks to a thread-pool for data processing and forget them is that the TCP stream data packets of each channel cannot be disordered, it has to be in serial per channel base.

Questions:

1. what’s the performance of the second way comparing to the first way?

2. what’s the suggestion for my situation?

I'm currently using stream-IO for LAN read/write. If using NIO, the coordination between the NIO thread and data processing threads may bring additional complexity (e.g post operations). So I think this question is meaningful for time-critical (stream-based, multi-channel network) applications like mine.

In the app I make, I need to know if a specific store is open, so i thought it would be a good idea to scrape the data from the Google Maps website, but i don't know if it is possible or legal, because you can do this with the Google places API, but it is too expansive.

I think I know the answer but I would like to her from you if anyone knows more about this, I tried to ask the Google support, but they didn't gave me a valid answer, so I am stuck with this question.

The part I want to use in my app is the sign: open, closed or opening soon.