tfrq 2.0.91

A library to parallelize the execution of a function in python

tfrq - an easy way to parallelize processing a function

tfrq on github!

Stop waiting for your code to finish, start using tfrq - the effortless solution for parallelizing your functions and supercharging your performance!

This library provides an easy way to parallelize the execution of a function in python using the concurrent.futures library. It allows you to run multiple instances of a function simultaneously, making your code run faster and more efficiently. It also provides a simple API for managing the process, allowing you to cancel or wait for the completion of a task. With this library, you can easily take advantage of the power of parallel processing in python.

Here’s an example of how you can use the library to parallelize the execution of the print function:

Example 1:

from tfrq import tfrq
params = ["Hello", "World", "!"]
func = print
tfrq(func=func, params=params, num_cores=3)

Example 2:

input_list = [[1, 2], [3, 4], [5, 5], [6, 7]]
list_of_results_for_all_pairs = tfrq(sum, input_list)
print(list_of_results_for_all_pairs)  # [[3], [7], [10], [13]] -- result for each pair ordered.

This code will call the sum function in parallel with the given parameters and use all cores, so it will print the given parameters in parallel.

Example 3 - using the config parameter:

input_list = [[1, 2], [3, 4], [5, 5], [6, str(7) + '1']]  # error in final input
list_of_results_for_all_pairs = tfrq(sum, input_list)
print(list_of_results_for_all_pairs)  # [[3], [7], [10], []] -- result for each pair ordered.

input_list = [[1, 2], [3, 4], [5, 5], [6, str(7) + '1']]  # error in final input
list_of_results_for_all_pairs = tfrq(sum, input_list, config={"print_errors": True})
# unsupported operand type(s) for +: 'int' and 'str'
print(list_of_results_for_all_pairs)  # [[3], [7], [10], []] -- result for each pair ordered.

input_list = [[1, 2], [3, 4], [5, 5], [6, str(7) + '1']]  # error in final input
list_of_results_for_all_pairs, errors = tfrq(sum, input_list,
                                             config={"print_errors": True, "return_errors": True})
# unsupported operand type(s) for +: 'int' and 'str'
print(list_of_results_for_all_pairs)  # [[3], [7], [10], []] -- result for each pair ordered.
print(errors)  # [[], [], [], [TypeError("unsupported operand type(s) for +: 'int' and 'str'")]]

Example 4 - “pass_as_single_argument”: False:

params = ["Hello", "World", "!"]
func = print
tfrq(func=func, params=params, num_cores=3, config={"pass_as_single_argument": False})
# H e l l o
# !
# W o r l d ---- notice now it is func(*args) - that is causing the spaces.

params = ["Hello", "World", "!"]
func = print
tfrq(func=func, params=params, num_cores=3, config={"pass_as_single_argument": True})
# Hello
# World
# !

default config:

config = {"pass_as_single_argument": True, "return_errors": False, "print_errors": True}

tfrq is an arabic word meaning “To Split”, which is the purpose of this simple method, to split the work of a single function into multiple processes as easy as possible.