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How to Run Blocking Code in an Executor with asyncio in Python
This code runs blocking functions concurrently without stalling the event loop by offloading them to thread pool executors via asyncio.
import asyncio
import time
def blocking_task(name: str, duration: float) -> str:
"""Simulate a blocking operation."""
time.sleep(duration)
return f"Finished {name} after {duration}s"
async def main() -> None:
loop = asyncio.get_running_loop()
results = await asyncio.gather(
loop.run_in_…How to Speed Up Downloads with ThreadPoolExecutor in Python
Compare sequential and thread-pool download loops to measure real speedup when I/O s bound.
import time
import threading
from concurrent.futures import ThreadPoolExecutor
def download_file(file_id):
"""Simulate fetching a file by sleeping briefly."""
time.sleep(0.2) # pretend network latency
return f"file_{file_id}"
def sequential_downloads(num_files):
"""Process files one at a time."""
…asyncio Condition wait notify pattern in Python
Coordinate coroutines with asyncio.Condition: workers wait for notifications and the main task notifies one or all of them.
import asyncio
async def worker(condition, name):
async with condition:
print(f"{name} waiting...")
await condition.wait()
print(f"{name} notified!")
async def main():
condition = asyncio.Condition()
tasks = [asyncio.create_task(worker(condition, f"worker-{i}")) for i in range(3…How to Build an Immutable Money Value Object in Python
Implement an immutable Money class with rounded decimal amounts, currency, safe equality, and hashing for use as a value object.
class Money:
def __init__(self, amount: float, currency: str):
object.__setattr__(self, "_amount", round(amount, 2))
object.__setattr__(self, "_currency", currency)
def __setattr__(self, name, value):
raise AttributeError(f"Money is immutable: cannot set '{name}'")
def __delattr__…How to Implement the Abstract Factory Pattern in Python
Implements the Abstract Factory pattern to create families of related GUI objects (buttons, checkboxes) without specifying their concrete classes.
from abc import ABC, abstractmethod
class Button(ABC):
@abstractmethod
def render(self):
pass
class Checkbox(ABC):
@abstractmethod
def render(self):
pass
class WindowsButton(Button):
def render(self):
return "Rendering Windows-style button"
class WindowsCheckbox(Chec…How to Implement the Strategy Pattern in Python
This Python code demonstrates the Strategy design pattern using interchangeable sorting algorithms (bubble sort and quick sort) that can be swapped at runtime.
class SortingStrategy:
def sort(self, data):
raise NotImplementedError
class BubbleSort(SortingStrategy):
def sort(self, data):
result = data.copy()
n = len(result)
for i in range(n):
for j in range(0, n - i - 1):
if result[j] > result[j + 1]:
…Kafka Consumer Poll Loop Mock in Python
Simulate a Kafka consumer poll loop with a mock class, process messages in batches, and commit offsets to understand streaming consumption patterns.
import time
class MockKafkaConsumer:
def __init__(self, topic, messages):
self.topic = topic
self.messages = list(messages)
self.position = 0
def poll(self, timeout_ms=100):
if self.position >= len(self.messages):
time.sleep(timeout_ms / 1000)
return []…How to Mock a Liveness Check and Restart a Process in Python
Simulate a failing process and restart it after a liveness check fails, using a mock class and a liveness loop.
import subprocess
import sys
import time
import os
class ProcessMock:
def __init__(self, name, fail_after_seconds=3):
self.name = name
self.fail_after = fail_after_seconds
self.start_time = None
self.is_running = False
def start(self):
self.start_time = time.time()
…How to retry idempotent operations with a mock in Python
Wrap a flaky idempotent operation in a retry loop with exponential backoff, and use unittest.mock to deterministically test the str's behavior.
import random
import time
from unittest.mock import Mock
def idempotent_operation(value):
"""Simulate an idempotent operation that sometimes fails."""
if random.random() < 0.6: # 60% failure rate
raise ConnectionError("Temporary failure")
return value * 2
def retry_with_backoff(operation, max_…How to Simulate a MapReduce Mock with Combine Phase in Python
Simulates a MapReduce pipeline with a combiner that aggregates local counts per reducer to reduce network and compute overhead.
from collections import defaultdict
def map_phase(lines):
intermediate = defaultdict(list)
for line in lines:
for word in line.strip().lower().split():
intermediate[word].append(1)
return dict(intermediate)
def combine_phase(intermediate, num_reducers=3):
combined = defaultdict(li…Bayesian Optimization in Python: A Simplified Mock Implementation
A toy Bayesian optimization loop with a Gaussian process prior, expected improvement acquisition, and noisy sampling to find a function's minimum.
import random
import math
class BayesianOptimizer:
def __init__(self, noise=0.1):
self.noise = noise
self.observations = []
def objective(self, x):
return (math.sin(3*x) + 0.5*x) / (1 + x**2)
def gaussian_process_prior(self, x1, x2, length_scale=0.5):
return math.…Mock a Flyte ML workflow in Python
Build a lightweight mock of a Flyte ML pipeline with dataclasses and a simple execution loop that passes outputs between tasks.
from dataclasses import dataclass, field
from typing import List, Dict, Optional
import time
@dataclass
class FlyteTask:
name: str
inputs: Dict = field(default_factory=dict)
outputs: Dict = field(default_factory=dict)
def run(self) -> Dict:
time.sleep(0.1) # simulate work
return sel…How to Tune scrypt Parameters in Python
Adjust scrypt work factor (N) to hit a target hashing time with a mock benchmark loop, then return tunable parameters and a derived key.
import hashlib
def tune_scrypt_params(target_time=0.1, base_n=2**14, base_r=8, base_p=1):
"""Mock tuning of scrypt params based on target time."""
n, r, p = base_n, base_r, base_p
iterations = 0
for _ in range(5): # simple mock adjustment loop
iterations += 1
mock_time = 0.05 + (…Browse by section
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