alloc | mpush allocator demo
kandi X-RAY | alloc Summary
kandi X-RAY | alloc Summary
mpush allocator demo
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Top functions reviewed by kandi - BETA
- Initialize the http server
- Generates a self - signed certificate
- Creates the SSL context
- Creates an HttpsServer
- Stop the server
- Stops the push stream
- Stops the cluster
- Starts the server
- Start the cache
- Starts the push stream
- Send HTTP request
- Read the body of the request body
- Send push message
- Convert a node to a server node
- Get the online user number for a public IP
- Start the allocation server
- Add shutdown hook
- Handle the exception
- Handle the handlers
- Refresh discovery
alloc Key Features
alloc Examples and Code Snippets
Community Discussions
Trending Discussions on alloc
QUESTION
Hey guys given the example below in C when operating on a 64bit system as i understand, a pointer is 8 byte. Wouldn't the calloc here allocate too little memory as it takes the sizeof(int) which is 4 bytes? Thing is, this still works. Does it overwrite the memory? Would love some clarity on this.
Bonus question: if i remove the type casting (int*) i sometimes get a warning "invalid conversion from 'void*' to 'int*', does this mean it still works considering the warning?
...ANSWER
Answered 2021-Jun-15 at 21:19calloc
is allocating the amount of memory you asked for on the heap. The pointer is allocated by your compiler either in registers or on the stack. In this case, calloc
is actually allocating enough memory for 4 int
s on the heap (which on most systems is going to be 16 bytes, but for the arduino uno it would be 8 because the sizeof(int)
is 2), then storing the pointer to that allocated memory in your register/stack location.
For the bonus question: Arduino uses C++ instead of C, and that means that it uses C++'s stronger type system. void *
and int *
are different types, so it's complaining. You should cast the return value of malloc
when using C++.
QUESTION
I'm trying to parallelize a merge-sort algorithm. What I'm doing is dividing the input array for each thread, then merging the threads results. The way I'm trying to merge the results is something like this:
...ANSWER
Answered 2021-Jun-15 at 01:58I'm trying to parallelize a merge-sort algorithm. What I'm doing is dividing the input array for each thread, then merging the threads results.
Ok, but yours is an unnecessarily difficult approach. At each step of the merge process, you want half of your threads to wait for the other half to finish, and the most natural way for one thread to wait for another to finish is to use pthread_join()
. If you wanted all of your threads to continue with more work after synchronizing then that would be different, but in this case, those that are not responsible for any more merges have nothing at all left to do.
This is what I've tried:
QUESTION
While trying to create show my students on Laravel 8, I met with some errors, first it wasn't creating the students, then I get errors on /students/ page
Attempt to read property "country_name" on null
index.blade.php
...ANSWER
Answered 2021-Jun-15 at 15:33Since foreignKey
not laravel convention so you have to mention foreignKey
in belongsTo
.I believe foreignKey is country
in Student Table
QUESTION
I want to initialize a structure with an array of string without doing dynamic allocation. Is it possible? I had thought of something like this but it doesn't work:
...ANSWER
Answered 2021-Jun-15 at 13:52There are several variants possible, here two of them:
QUESTION
I am trying to run a simple parallel program on a SLURM cluster (4x raspberry Pi 3) but I have no success. I have been reading about it, but I just cannot get it to work. The problem is as follows:
I have a Python program named remove_duplicates_in_scraped_data.py. This program is executed on a single node (node=1xraspberry pi) and inside the program there is a multiprocessing loop section that looks something like:
...ANSWER
Answered 2021-Jun-15 at 06:17Pythons multiprocessing package is limited to shared memory parallelization. It spawns new processes that all have access to the main memory of a single machine.
You cannot simply scale out such a software onto multiple nodes. As the different machines do not have a shared memory that they can access.
To run your program on multiple nodes at once, you should have a look into MPI (Message Passing Interface). There is also a python package for that.
Depending on your task, it may also be suitable to run the program 4 times (so one job per node) and have it work on a subset of the data. It is often the simpler approach, but not always possible.
QUESTION
I'd like to run a simple neural network model which uses Keras on a Rasperry microcontroller. I get a problem when I use a layer. The code is defined like this:
...ANSWER
Answered 2021-May-25 at 01:08I had the same problem, man. I want to transplant tflite to the development board of CEVA. There is no problem in compiling. In the process of running, there is also an error in AddBuiltin(full_connect). At present, the only possible situation I guess is that some devices can not support tflite.
QUESTION
I'm trying to create a function which I can use to dynamically allocate and input values of a matrix, and another matrix to output the results. I get an error, saying my matrix is not an array, pointer or vector.
...ANSWER
Answered 2021-Jun-15 at 12:52You have to return and hold the pointer double**
, not single double
.
QUESTION
Take the following build.xml
snippet:
ANSWER
Answered 2021-Jun-14 at 22:41maxmemory
specifies the maximum heap size available to the Java VM.
QUESTION
I have a for loop doing something I would have thought relatively straight forward on Python 3
...ANSWER
Answered 2021-Jun-15 at 08:36If I understand correctly, you can't use pd.DataFrame.resample('5 min').mean()
out-of-the-box because time_5m
isn't at 'normal' positions past the hour (i.e. time_5m
is at 2:30, 7:30, ..., 57:30
past the hour.) That is, time_5m
is 2.5 minutes offset from the 'normal' positions past the hour (where the 'normal' positions are at 0, 5, 10, ..., 55
minutes past the hour).
Pandas version 1.1 introduced two new keyword arguments for resample()
: origin
and offset
(here are the docs for DataFrame.resample)
So something like this should work:
QUESTION
So here is the function:
...ANSWER
Answered 2021-Jun-15 at 05:26The value type of your unordered_map
is std::variant
, but in your brace init list, you're passing float
instead of a double
. This conversion from float
to a variant
is not allowed.
Either change your value type to std::variant
, or pass literals of float
type, e.g. 1.5f
instead of 1.5
.
The minimized issue in code is
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Vulnerabilities
No vulnerabilities reported
Install alloc
You can use alloc like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the alloc component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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