My jobs are all a series of requests that need to be made per object. Ie, its a User with several data points (potentially hundreds) that need to be added to that user with requests. I had originally written those requests to run synchronously but it was blocking and slow. I was sending each User job to Python RQ and
How to change the same keys related to different articles in bibtex?
With the help of some plugin, I get a .bib file with information about scientific articles. Sometimes it turns out that the same keys appear in different records. For example: I am using pybtex library to parse a file. This library ignores duplicate entries with the same keys. Before using this library, I need to somehow process the file so
Receive foreign UDP Broadcast with Python
I have a device in the network at 192.168.123.204 which broadcasts UDP datagrams(Artnet) as 2.168.123.204 to 2.255.255.255:6454. (The network address is 192.168.123.204 but the datagram is sent with 2.168.123.204 as source.) The address 2.255.255.255 can’t be changed (no setting for that). My Python script runs on the device 192.168.123.148. I can receive the datagrams there with wireshark: but a Python
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From what I understand, thread and process differs in that thread shares resources. I am not sure if this differs from one language to another, but how do you differentiate between thread and process in general or in Python? Are every independent functions different process? Would a class methods be threads as they share memory? would recursive functions be thread?
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I am creating a JSON file from a SQL query. But I could not create truly. The problem is there is a “items” object and it has products. But mine create products directly not in “items” objects. The Code. yields the following JSON object as a result while the desired one should be as follows Answer define objects_list as a
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I am trying to get a binary image from the instance segmentation output performed using Detectron2. According to the official documentation the mask’s output format is the following: “pred_masks”: a Tensor of shape (N, H, W), masks for each detected instance. So i tried converting it to numpy: mask = outputs[“instances”].get(“pred_masks”).numpy() The output was the following: However the data type
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