Dask Python

This code defines a function using the Dask library to generate a random walk path. The function takes two parameters: the number of steps (n_steps) and the starting point (start_point). It uses Dask's delayed execution to parallelly generate random walk values for each step and stores the results in a list.

The type of code 2024-12-16 11:58:21 3 views

Dask NumPy

This function simulates a random walk process using the Dask library, where 'n' is the number of steps and 'step_size' is the random choice size for each step. The function uses Dask's delayed execution and distributed computing to handle large amounts of random steps efficiently.

Function 2024-12-16 11:55:52 9 views

Dask

This function uses Dask's delayed and compute functions to sum a series of numbers. It first defines a delayed function that generates a sequence of numbers, and then uses Dask's compute function to calculate these sequences and return their sum.

Function 2024-12-16 11:54:37 6 views

Dask delayed

This function utilizes the Dask library's `delayed` and `Client` classes to perform parallel mapping on an iterable. It first creates a Dask client, then applies the function to each element in the iterable and puts the results into a list of delayed computations. Finally, it computes all the delayed operations using the Dask client and closes the client.

Function 2024-12-16 11:50:56 3 views

APScheduler

The code defines a function named random_task that simulates a task that reschedules itself with a random delay every time it runs, creating an infinite loop of scheduled tasks.

Timed task 2024-12-16 11:49:02 4 views

Autobahn Twisted

This function uses the Autobahn library and Twisted library to create a Deferred object. It will call the callback function after a random delay, and call the error handling function in case of an error.

The type of code 2024-12-16 11:47:22 3 views

Dask NumPy

This function generates a random walk using Dask's Delayed API. A random walk is a concept commonly used in finance and physics, describing the process of a particle randomly jumping from one position to another under the influence of random forces.

Function 2024-12-16 11:45:58 3 views

Freezegun datetime

This function takes a date and a number of days to delay as arguments, uses the Freezegun library to freeze time, and then calculates the date and time after the delay.

Function 2024-12-16 11:37:44 3 views

Freezegun datetime

This function uses the freeze_time feature from the Freezegun library to freeze time to a specific date, then calculates the new time based on the time increment time_delta provided.

Function 2024-12-16 11:34:24 4 views

The code

This code uses the Dask library to simulate a random walk. It first defines a function to generate random walk data, then creates a Dask array to represent this random walk using Dask's delayed computation API, and finally calls the compute() method to calculate this Dask array.

The type of code 2024-12-16 11:32:08 5 views