Phase | Phase is a C # to Haxe compiler | Translation library
kandi X-RAY | Phase Summary
kandi X-RAY | Phase Summary
Phase ~~is~~ was an open source C#-to-Haxe Compiler. This allows you to write any C# code and compile it to. Disclaimer: Phase is far from feature complete in terms of language features and class availability for Haxe. Phase is strongly focusing on being the compiler for alphaTab. If you would like to use Phase in your project feel free to open an issue in this repository asking for assistence.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Phase
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QUESTION
I have a Spring Boot app with a Kafka Listener implementing the BatchAcknowledgingMessageListener interface. When I receive what should be a single message from the topic, it's actually one message for each line in the original message, and I can't cast the message to a ConsumerRecord.
The code producing the record looks like this:
...ANSWER
Answered 2021-Jun-15 at 17:48You are missing the listener type configuration so the default conversion service sees you want a list and splits the string by commas.
QUESTION
I'm trying to understand how the "fetch" phase of the CPU pipeline interacts with memory.
Let's say I have these instructions:
...ANSWER
Answered 2021-Jun-15 at 16:34It varies between implementations, but generally, this is managed by the cache coherency protocol of the multiprocessor. In simplest terms, what happens is that when CPU1 writes to a memory location, that location will be invalidated in every other cache in the system. So that write will invalidate the line in CPU2's instruction cache as well as any (partially) decoded instructions in CPU2's uop cache (if it has such a thing). So when CPU2 goes to fetch/execute the next instruction, all those caches will miss and it will stall while things are refetched. Depending on the cache coherency protocol, that may involve waiting for the write to get to memory, or may fetch the modified data directly from CPU1's dcache, or things might go via some shared cache.
QUESTION
I have bunch of GRPC microservices and they are using self signed certs. I add authentication info to the GRPC channel which is then used to identify endpoints and provide right services.
Now I want migrate to Istio mTLS.
In phase one, I got Istio to BYPASS all GRPC connections and my services works as it is now.
In Phase two, I want to hand off TLS to Istio, but I am stuck on how to pass the authentication information to GRPC?
How do you handle auth in Istio mTLS setup?
GRPC can support other authentication mechanisms Has anyone used this to inject Istio auth info to GRPC? any other suggestions on how you implemented this in your setup
I am using go-lang just in case if this can be useful to provide any additional information.
Thanks
...ANSWER
Answered 2021-Jun-11 at 09:21One way of doing this is using grpc.WithInsecure()
, this way you don't have to add certificates to your services, since istio-proxy
containers in your pods will TLS terminate any incoming connections.
Client side:
QUESTION
I'm using create-react-app and have configured my project for eslint. Below is my .eslintrc file.
...ANSWER
Answered 2021-Jun-15 at 12:54You can do it by adding DISABLE_ESLINT_PLUGIN=true
to the "build" in the "scripts" part in your package.json
:
QUESTION
I am programming in Python 3.8 with Tensorflow installed along with my natural language processing project. When I want to begin the training phase, I get this message right before I begin...
...ANSWER
Answered 2021-Mar-10 at 14:44I would suggest you to use conda
(Ananconda/Miniconda) to create a separate environment and install tensorflow-gpu
, cudnn
and cudatoolkit
. Miniconda has a much smaller footprint than Anaconda. I would suggest you to install Miniconda if you do not have conda
already.
QUESTION
I'm getting some very weird behavior from mixing tidyverse
and data.table
syntax.
For context, I often find myself using tidyverse
syntax, and then adding a pipe back to data.table
when I need speed vs. when I need code readability. I know Hadley's working on a new package that uses tidyverse
syntax with data.table
speed, but from what I see, it's still in it's nascent phases, so I haven't been using it.
Anyone care to explain what's going on here? This is very scary for me, as I've probably done these thousands of times without thinking.
...ANSWER
Answered 2021-Jun-15 at 06:35I came across the same problem on a few occasions, which led me to avoid mixing dplyr
with data.table
syntax, as I didn't take the time to find out the reason. So thanks for providing a MRE.
Looks like dplyr::arrange
is interfering with data.table
auto-indexing :
- index will be used when subsetting dataset with
==
or%in%
on a single variable- by default if index for a variable is not present on filtering, it is automatically created and used
- indexes are lost if you change the order of data
- you can check if you are using index with
options(datatable.verbose=TRUE)
If we explicitely set auto-indexing :
QUESTION
I have sample tests used from scalatest.org site and maven configuration again as mentioned in reference documents on scalatest.org, but whenever I run mvn clean install
it throws the compile time error for scala test(s).
Sharing the pom.xml
below
ANSWER
Answered 2021-Jun-14 at 07:54You are using scalatest
version 2.2.6
:
QUESTION
I am new to Spark and am trying to run on a hadoop cluster a simple spark jar file built through maven in intellij. But I am getting classnotfoundexception in all the ways I tried to submit the application through spark-submit.
My pom.xml:
...ANSWER
Answered 2021-Jun-14 at 09:36You need to add scala-compiler configuration to your pom.xml
. The problem is without that there is nothing to compile your SparkTrans.scala file into java classes.
Add:
QUESTION
I have a program doing 2 phase aggregation to solve the data skew in my job. And I used a simple ThreadLocalRandom
to generate a suffix to my original like :
ANSWER
Answered 2021-Jun-14 at 08:27Flink relies on the result of keyBy
being deterministic across the cluster. This is necessary so that every node in the cluster has a consistent view regarding which node is responsible for processing each key. By having the key depend on ThreadLocalRandom
you have violated this assumption.
What you can do instead is to add a field to each record that you populate with a random value during ingestion, and then use that field as the key.
QUESTION
I have a pyTorch-code to train a model that should be able to detect placeholder-images among product-images. I didn't write the code by myself as I am very unexperienced with CNNs and Machine Learning.
My boss told me to calculate the f1-score for that model and i found out that the formula for that is ((precision * recall)/(precision + recall))
but I don't know how I get precision and recall. Is someone able to tell me how I can get those two parameters from that following code?
(Sorry for the long piece of code, but I didn't really know what is necessary and what isn't)
ANSWER
Answered 2021-Jun-13 at 15:17You can use sklearn to calculate f1_score
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