Introduction to ctrl-flow for Python
The ctrl-flow library is a robust package designed to enhance Python’s control flow mechanisms, allowing for more readable, maintainable, and efficient code. Whether you’re handling complex branching, concurrency, or exception handling, ctrl-flow provides intuitive and flexible APIs to optimize your workflows.
API Explanations and Code Snippets
1. Conditional Execution
The IfElse
class simplifies conditional statements.
from ctrl_flow import IfElse def positive_or_negative(number): return IfElse(number > 0, "Positive", "Negative").run() print(positive_or_negative(10)) # Output: Positive print(positive_or_negative(-5)) # Output: Negative
2. Loop Execution
The Loop
class helps manage loops more effectively.
from ctrl_flow import Loop def print_numbers(n): Loop(lambda i: i < n, lambda i: print(i) or i + 1, 0).run() print_numbers(5) # Output: # 0 # 1 # 2 # 3 # 4
3. Exception Handling
The TryExcept
class simplifies try-except blocks.
from ctrl_flow import TryExcept def safe_divide(a, b): return TryExcept(lambda: a / b, ZeroDivisionError, lambda e: 'Cannot divide by zero').run() print(safe_divide(10, 2)) # Output: 5.0 print(safe_divide(10, 0)) # Output: Cannot divide by zero
4. Concurrent Execution
The Concurrent
class allows for easy concurrent execution of tasks.
from ctrl_flow import Concurrent import time def task(name, duration): time.sleep(duration) return f'Task {name} completed in {duration} seconds' results = Concurrent([ lambda: task('A', 2), lambda: task('B', 3), lambda: task('C', 1) ]).run() for result in results: print(result) # Output: # Task A completed in 2 seconds # Task B completed in 3 seconds # Task C completed in 1 second
App Example Using ctrl-flow
Here is an example app that demonstrates using the ctrl-flow library to handle various tasks.
import time from ctrl_flow import IfElse, Loop, TryExcept, Concurrent # Conditional task def welcome_user(age): return IfElse(age > 18, "Welcome, adult user!", "Welcome, young user!").run() # Loop task def countdown(n): print("Starting countdown:") Loop(lambda i: i>0, lambda i: print(i) or time.sleep(1) or i-1, n).run() print("Countdown ended!") # Safe calculation def safe_calculation(a, b): return TryExcept(lambda: a / b, ZeroDivisionError, lambda e: 'Division by zero error').run() # Concurrent tasks def simulate_io_tasks(): tasks = [ lambda: (time.sleep(2), "Task 1 completed"), lambda: (time.sleep(3), "Task 2 completed"), lambda: (time.sleep(1), "Task 3 completed"), ] results = Concurrent(tasks).run() for result in results: print(result) if __name__ == "__main__": print(welcome_user(20)) countdown(5) print(safe_calculation(10, 2)) print(safe_calculation(10, 0)) simulate_io_tasks()
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