chopsticks | orchestration library : it lets you execute Python code | BPM library
kandi X-RAY | chopsticks Summary
kandi X-RAY | chopsticks Summary
Chopsticks is an orchestration library: it lets you execute Python code on remote hosts over SSH.
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Top functions reviewed by kandi - BETA
- Connect to the Broker
- Write bytes to the queue
- Send a message
- Stop the break window
- Called when a transfer is received
- Force str to str
- Decode back the object
- Read n bytes from the buffer
- Handle a put data request
- Do an OP_Fetch request
- Read messages from the queue
- Begin a new put
- Return a list of IP addresses
- Read data from fd
- Enqueue a single group
- Read data from the stream
- Runs the given stmt
- Get IP address
- Calls the given callable asynchronously
- Process received messages
- Write to the queue
- Run the Dorepl procedure
- Put file to remote
- Load a module
- Fetch data from remote
- Return the default settings
chopsticks Key Features
chopsticks Examples and Code Snippets
Lines of Code : 21License : Strong Copyleft (CC BY-SA 4.0)
Copydef set_x_left(self, num):
self.x_left = num
chopsticks = game()
# ^^^ that's the instance
chopsticks.set_x_left(0)
# is the same as
chopsticks.x_left = 0
def dict_func(self, hand): (?s) # Dot-all modifier
( # (1 start), Required Author
[A-Z-]{2,}
,* # Optional comma's
\s
(?: # Author Community Discussions
Trending Discussions on chopsticks
QUESTION
I would like to display a running total of Invoice_Amount. Here is my current query:
...ANSWER
Answered 2022-Mar-28 at 23:26There is no need for a GROUP BY or a HAVING because you're not actually grouping by anything in the final result.
QUESTION
I'm trying to implement a simple solution for Dining philosophers problem (with five philosophers) and my solution is based on this logic :
...ANSWER
Answered 2021-Dec-23 at 07:50Your implementation is correct, the problem you have is in the method of debugging. If you use gdb, you will be stopped on only one thread, while the rest of the thread will continue the execution, so between the time you have inspected the semaphore and the time you stepped to the next line, other thread will progress the execution and can change the value you had inspected.
To be effective in debugging the threads, you need to assure that only the thread which is currently observed is scheduled and the rest of the threads are blocked. To do so, you need to change the scheduler-locking after you stop on the thread. You can set it to on or step, depending if you want the threads to by fully stopped, or only stopped during the singe-step operations (see help set scheduler-locking for more details).
Once the threads are locked you can use info threads to check what the rest of the threads are doing at the time. You can use thread <> to change to the n-th thread and use where to check the thread stack.
Here is example with the scheduler set to step. You can see that only one thread had progressed on the next command.
QUESTION
I'm taking a Go course, that has an assignment as follows:
Implement the dining philosopher's problem with the following constraints/modifications.
There should be 5 philosophers sharing chopsticks, with one chopstick between each adjacent pair of philosophers.
Each philosopher should eat only 3 times (not in an infinite loop as we did in lecture).
The philosophers pick up the chopsticks in any order, not lowest-numbered first (which we did in lecture).
In order to eat, a philosopher must get permission from a host which executes in its own goroutine.
The host allows no more than 2 philosophers to eat concurrently.
Each philosopher is numbered, 1 through 5.
When a philosopher starts eating (after it has obtained necessary locks) it prints "starting to eat " on a line by itself, where is the number of the philosopher.
When a philosopher finishes eating (before it has released its locks) it prints "finishing eating " on a line by itself, where is the number of the philosopher.
My implementation:
...ANSWER
Answered 2021-Dec-14 at 20:34Answering my own question, it turned out that byes.Buffer is not thread-safe. I ended up using go-fakeio library for the test as shown below.
QUESTION
I'm having trouble with implementing the "dining philosopher" problem. Basically my program is stuck in an infinite loop while threads are waiting. I'am trying to implement it in a way so that it enforces the order of eating. so Philosopher 0 would eat first and then philosopher 1 and so on. The problem arises only when I try to enforce order of eating but not when I let the eating order be random.
Here is my implementation with order of eating emphasis (the one stuck in the infinite loop):
...ANSWER
Answered 2021-Aug-10 at 00:06Three problems:
Each thread has its own
nextIndex. There should only be one.The thread is still holding a lock on the mutex when it exits.
The "distance" between mutex_lock and cond_wait is concerning. What's what in the middle??? You're waiting for your turn to eat, so there shouldn't be anything else performed.
QUESTION
I want to make a graph for each value of a variable in my dataframe, and then pass that value through to the graph as the title. I think the best way to do this is by using the apply() family of functions, but i'm a bit of a novice and can't figure out how to do that.
For example, say I have this dataframe:
...ANSWER
Answered 2021-May-16 at 10:03You can split the data for each value of type and generate a list of plots.
QUESTION
I am creating my Operating system project in which this is my code, I am using a Linux operating system and I when I am compiling my code, the pthread_create() function is showing an error. The error is related to void return type.
...ANSWER
Answered 2020-Apr-16 at 13:52In pthread_create it casts int to void*. The reverse conversion you need is void* to int:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install chopsticks
You can use chopsticks like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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