unpack | Create Web apps without a bundler | Build Tool library
kandi X-RAY | unpack Summary
kandi X-RAY | unpack Summary
:rocket: Create web apps without a bundler :package:. unpack is a web app scaffolding tool which generates a project boilerplate with no npm dependencies, to develop and build apps within the browser without any build tooling. WARNING: Not recommended for production workflows.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of unpack
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Trending Discussions on unpack
QUESTION
I'm debugging an unpacked extension loaded from a folder. The page URL is chrome-extension://op...
and the page uses Vue. The Vue chrome debugger extension shows "Vue JS not detected". I have enabled "Allow access to file URLs" for the extension but it still cannot detect Vue JS. Are chrome-extension
URLS really inaccessible to Vue JS debugger? If so, how do I enable Vue debugger for extensions?
ANSWER
Answered 2021-Jun-15 at 15:56You should have a manifest.json
looking like this
QUESTION
I am trying to start a bunch (one or more) aioserial instances using an for
and asyncio.gather
without success.
ANSWER
Answered 2021-Jun-14 at 15:59Your problem isn't with how you call gather
. It's with how you define main
. The clue is with the error message
QUESTION
There is a Java 11 (SpringBoot 2.5.1) application with simple workflow:
- Upload archives (as multipart files with size 50-100 Mb each)
- Unpack them in memory
- Send each unpacked file as a message to a queue via JMS
When I run the app locally java -jar app.jar
its memory usage (in VisualVM) looks like a saw: high peaks (~ 400 Mb) over a stable baseline (~ 100 Mb).
When I run the same app in a Docker container memory consumption grows up to 700 Mb and higher until an OutOfMemoryError. It appears that GC does not work at all. Even when memory options are present (java -Xms400m -Xmx400m -jar app.jar
) the container seems to completely ignore them still consuming much more memory.
So the behavior in the container and in OS are dramatically different.
I tried this Docker image in DockerDesktop Windows 10
and in OpenShift 4.6
and got two similar pictures for the memory usage.
Dockerfile
...ANSWER
Answered 2021-Jun-13 at 03:31In Java 11, you can find out the flags that have been passed to the JVM and the "ergonomic" ones that have been set by the JVM by adding -XX:+PrintCommandLineFlags
to the JVM options.
That should tell you if the container you are using is overriding the flags you have given.
Having said that, its is (IMO) unlikely that the container is what is overriding the parameters.
It is not unusual for a JVM to use more memory that the -Xmx
option says. The explanation is that that option only controls the size of the Java heap. A JVM consumes a lot of memory that is not part of the Java heap; e.g. the executable and native libraries, the native heap, metaspace, off-heap memory allocations, stack frames, mapped files, and so on. Depending on your application, this could easily exceed 300MB.
Secondly, OOMEs are not necessarily caused by running out of heap space. Check what the "reason" string says.
Finally, this could be a difference in your app's memory utilization in a containerized environment versus when you run it locally.
QUESTION
I have the following three for loop (two of them are nested) in python. The API requests should be sent concurrently. How to parallelized the execution?
...ANSWER
Answered 2021-Jun-13 at 18:03Looking at the three instances of apiString
and rewriting them to use the more succinct F-strings, they all appear to be of the form:
QUESTION
I am trying to apply for loops inside a Pandas dataframe to access two columns at a time. My piece of code works perfectly for a single column. But when applying to multiple columns, it is throwing : "ValueError : too many values to unpack (expected 2)"
My code snippet is as follows -
...ANSWER
Answered 2021-Jun-13 at 17:42If you want to loop over df.columns
two values at a time, you can do so like this:
QUESTION
This Has To One OF The Most Annoying Errors In Python That Have So Many Solutions Depending On The Question
My Files...Main.py
ANSWER
Answered 2021-Jun-13 at 13:56The cryptic error message is of little help, but the stack trace shows that the error occurs in the line:
QUESTION
Currently the query that I am using is as follows:
...ANSWER
Answered 2021-Jun-13 at 09:45- you should apply
sum
to each column separately:
search_columns = [db.func.sum(getattr(Model, i)) for i in col_headers]
- you can use
Query.add_columns
to add columns to the query results:
query = query.add_columns(*search_columns)
or you can pass them directly:
Model.query.with_entities(Model.m_t, *search_columns)
Putting it all together:
QUESTION
I have a code sample, and I'd you to review this and tell me if my understanding is correct. I am learning C++, and so I apologize if these questions are rudimentary. I have read about how C++ handles memory management, but I haven't found practical examples. I am trying to write some myself.
Code Sample:
...ANSWER
Answered 2021-Jun-12 at 21:54The move semantics creates new objects. It is not a copy or assignment, it is a move-constructor that is invoked. Thus, if you call move(innerVector)
you actually create a new vector object as entry in containerOfVectors. This automatically contains the content/data of the original innerVector
at the moment you make the call. Afterwards, the innerVector is empty, and whatever you do with it will not affect the new object inside containerOfVectors. There is no link between those two distinct objects. The memory address of an object created with move-construction is certainly always different from its original object.
This fully explains the output of your example. With any other data type inside the vector, also structs, this will be just the same.
QUESTION
I am using struct.unpack()
to gather specific pieces of data from a binary file.
ANSWER
Answered 2021-Jun-11 at 23:00The problem is data[3:6]
is only 3 bytes long, but by default the format "BH"
is requires four bytes because a default alignment with padding is assumed. You can prove this with a:
QUESTION
I installed a Kubernetes cluster of three nodes, the control node looked ok, when I tried to join the other two nodes the status for both of is: Not Ready
On control node:
...ANSWER
Answered 2021-Jun-11 at 20:41After seeing whole log line entry
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