python-3.x

问题 I have use all types of multiprocessing Pool but still the program only using single core (available=8).Any help will be appreciated and thanks in advance. import multiprocessing from multiprocessing import Pool class pdf_gen(): def __init__(self): pdf = self.pdf = FPDF() pdf.set_auto_page_break(True,0.1) def get_data_from_mysql(self) : pdf = self.pdf # connection is established and result is stored in 'res'. dup = [] dup.insert(0,res) z = tuple(dup) pool = multiprocessing.Pool

问题 I am making a game using OpenGL with Pygame. So far I was able to make cubes appear and make a cross hair. When I tried to implement looking around, things got... weird. I would run it and without even moving my mouse it would start spinning the screen everywhere when I used the gluLookAt() function. When I took that out, it worked but I couldn't look around. I was doing some testing and I even put in set data values to the function just to make sure that they were not changing and it still

问题 Please let me know of what I'm doing wrong Using the code from: How to interact with the reCAPTCHA audio element using Selenium and Python I want next to get the src file for the audio to download it, so I wrote exactly after the end of the provided code the following: # get the mp3 audio file src = driver.find_element_by_id("audio-source").get_attribute("src") But Python returns run time error saying: selenium.common.exceptions.NoSuchElementException: Message: no such element: Unable to

问题 Context: A Windows 10 attempt to install and test python hid per instructions: pip install hid The test to import the module failed: Python 3.8.3 (tags/v3.8.3:6f8c832, May 13 2020, 22:37:02) [MSC v.1924 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license" for more information. >>> import hid Traceback (most recent call last): File "<stdin>", line 1, in <module> File "C:\Users\student\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.8_qbz5n2kfra8p0\LocalCache\local

问题 Context: A Windows 10 attempt to install and test python hid per instructions: pip install hid The test to import the module failed: Python 3.8.3 (tags/v3.8.3:6f8c832, May 13 2020, 22:37:02) [MSC v.1924 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license" for more information. >>> import hid Traceback (most recent call last): File "<stdin>", line 1, in <module> File "C:\Users\student\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.8_qbz5n2kfra8p0\LocalCache\local

问题 Here’s a general question that maybe someone could point me in the right direction. I’m getting into Reinforcement Learning with Python 3.6/Tensorflow and I have found/tweaked my own model to train on historical data from a particular stock. My question is, is it possible to train this model on more than just one stock’s dataset? Every single machine learning article I’ve read on time series prediction and RL uses one dataset for training and testing, but my goal is to train a model on a

问题 I want to increase the efficiency of my code. One intensive part of my code is to append elements to a list of lists. Basically, I want to do something as follows, import multiprocessing import time def update_val(L, i): L.append(i**2) return L if __name__ == "__main__": N = 1000000 x_reg = [list(range(10)) for i in range(N)] y_reg = [list(range(10)) for i in range(N)] z_reg = [list(range(10)) for i in range(N)] "Regular Call" start = time.time() [x_reg[i].append(i**2) for i in range(N)] stat

问题 I have the following code where the user can press p to pause the video, draw a bounding box around the object to be tracked, and then press Enter (carriage return) to track that object in the video feed: import cv2 import sys major_ver, minor_ver, subminor_ver = cv2.__version__.split('.') if __name__ == '__main__' : # Set up tracker. tracker_types = ['BOOSTING', 'MIL','KCF', 'TLD', 'MEDIANFLOW', 'GOTURN', 'MOSSE', 'CSRT'] tracker_type = tracker_types[1] if int(minor_ver) < 3: tracker = cv2

问题 When I run the following Python3 code, def f(): x = 'foo' def g(): return x def h(y): nonlocal x x = y return g, h g, h = f() print(g()) h('bar') print(g()) I get foo bar I had believed that in Python, all local variables are essentially pointers. So in my mind, x was a pointer allocated on the stack when f() is called, so when f() exits, the variable x should die. Since the string 'foo' was allocated on the heap, when g() is called, I thought "ok, I guess g() kept a copy of the pointer to

问题 When I run the following Python3 code, def f(): x = 'foo' def g(): return x def h(y): nonlocal x x = y return g, h g, h = f() print(g()) h('bar') print(g()) I get foo bar I had believed that in Python, all local variables are essentially pointers. So in my mind, x was a pointer allocated on the stack when f() is called, so when f() exits, the variable x should die. Since the string 'foo' was allocated on the heap, when g() is called, I thought "ok, I guess g() kept a copy of the pointer to