I am trying to send the requests as per the records in the CSV file and updating a record with a response from the request. temp_file = NamedTemporaryFile(‘w+t’, newline=”, delete=False) with open(file_path, ‘r’) as csv_file, temp_file: csv_reader = csv.reader(csv_file) csv_writer = csv.writer(temp_file) columns = next(csv_reader) csv_writer.writerow(columns) for row in csv_reader: request_body = row response = ..
I am implementing the ACER architecture, which performs asynchronous parameter update as A3C. Looking at existing PyTorch implementations, I often see the parameter update performed as # Transfers gradients from thread-specific model to shared model def _transfer_grads_to_shared_model(model, shared_model): for param, shared_param in zip(model.parameters(), shared_model.parameters()): if shared_param.grad is not None: return shared_param._grad = param.grad I understand ..
Hello i want to run multiples commands in my liunx os so i make a script to run multiples commands but some command take too much time to execute but i want terminate the command who take more then 1 min to execute. help me import subprocess import threading import time from time import sleep ..
Following the answer from this post, I would like to make a wrapper around Threading.Lock() which behaves like a normal lock when used with a context manager like this: from threading import Lock mylock = Lock() with mylock: #blocked until mylock is released # do something Along with an added functionality of being timed out ..
so title doesn’t explain much. I have a function where it should run on a separate .py file. So I have a python file where it takes some variables and waits for event to happen than continue until it finishes. You can think this as event listener (web socket). This file runs and doesn’t give ..
I am using the python multiprocessing library in order to run a number of tests on a large array of numbers. I have the follow syntax: import multiprocessing as mp pool = mp.Pool(processes = 6) res = pool.async_map(testFunction, arrayOfNumbers) However I want to return the first number that passes the test, and then exit. I ..
The following code generates numpy 2D lists of r and E values for the specified intervals. r = np.linspace(3, 14, 10) E = np.linspace(0.05, 0.75, 10) r, E = np.meshgrid(r, E) I am then using the following nested loop to generate output from the function ionisationGamma for each r and E interval value. for ridx ..
So I am new to connection pooling. I am trying to determine how to use a pool in order to speed up my query. I have a query that works, but I dont think I am using the pool correct. Here is the syntax, if you see anywhere I could be more efficient please let ..
I wrote a program that works on the basis of a socket library in a python between client and server. The program itself (regardless of client-server connection) ran well. It is important for me to note that the program ran by running only one function. My problem is that I am not able to implement ..
Link to files: https://mega.nz/folder/DB4HVaBD#ferA-hU-FlvOuAbeb7FyJg I want to make a autoclicker coded in python 3x. I got some problems: I dont know how to use cps, I don´t want to use keybinds(i want if i left click that the clicker automaticly clicks and if i release left mouse button it should stop i already tried smth ..