Pyrogram This function uses the Pyrogram library to create a random user and returns the user's information. 2024-12-16 12:10:20 Pyrogram API 3 views
Django ORM, annotate, Sum, cache This function calculates the total number of orders per day from the database. It uses Django ORM to query the database and uses the annotate method to calculate the sum. 2024-12-16 12:10:20 Database Query 4 views
Autobahn This code defines a WAMP application function based on the Autobahn library that randomly accepts a certain number of arguments and returns the processed result. The function is registered to the WAMP session and is called when the session joins. 2024-12-16 12:10:20 The type of code 4 views
Behave, random This code defines a custom Behave function to generate a random number between two given values. The function uses Behave library step definitions including given, when, and then. 2024-12-16 12:10:19 Behave Step Definitions 5 views
Loguru This function randomly selects a log level from the available levels in the Loguru library and logs a random message with two arguments using the selected log level. 2024-12-16 12:10:19 Custom Function 3 views
GeoPandas, Shapely This function calculates the area of each polygon in a GeoDataFrame and returns a dictionary with polygon index as keys and their area as values. 2024-12-16 12:10:19 Custom function 5 views
Python, OAuthlib, BackendApplicationClient, OAuth2Session, requests This function uses the OAuthlib library to create an OAuth2 session, fetches an access token using a backend application client, and uses this token to retrieve data from a resource URL. 2024-12-16 12:10:19 Python Function 3 views
Loguru, logging This function configures a logger named `name` with a specified level. It uses the Loguru library to save logs to a specified file with rotation and retention policies. 2024-12-16 12:10:18 Configure the logger 3 views
PyTorch, torchvision.transforms, torchvision.models This function generates a random image transformation for data augmentation. It randomly selects one from several transformations such as horizontal flip, rotation, color jitter, random cropping, etc. 2024-12-16 12:10:18 Image processing 3 views
CatBoost, NumPy This function uses the CatBoost library to predict outcomes based on input data. It first loads a CatBoost classifier model, then converts the input data to a NumPy array, and creates a Pool object. Finally, it uses the model to predict the data and returns the predictions. 2024-12-16 12:10:18 Function 6 views