okanyenigun

import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt

class Pub:
    def __init__(self, mu: float, sigma: float):
        self.mu = mu
        self.sigma = sigma
        self.n = 0
        self.total_score = 0

okanyenigun

[loggers]
keys=root, alogger

[handlers]
keys=stream_handler

[formatters]
keys=formatter

[logger_root]

okanyenigun

import uuid
import requests

ENDPOINT = "https://todo.pixegami.io"

class TaskUtility:

    @staticmethod
    def new_task_payload():
        user_id = f"test_user_{uuid.uuid4().hex}"

okanyenigun

import pytest
from unittest.mock import Mock
from unittest_examples import Flight, CustomerDb

@pytest.fixture
def app():
    plane = Flight(5, 10)
    plane.add_passenger("Cristiano Ronaldo")
    plane.add_passenger("Ten Hag")
    plane.add_passenger("Harry Maguire")

okanyenigun

from typing import List

class CustomerDb:

    def __init__(self):
        print("Connected to db")

    def get_customer_membership(self, name: str) -> int:
        if name == "Cristiano Ronaldo":
            return 2

okanyenigun

import asyncio

async def get_data_from_db():
    print("connecting to database...")
    await asyncio.sleep(3)
    print('data is retrieved.')
    return {'data': 'myData'}

async def counter():

okanyenigun

class Memento():
    
    def __init__(self, state):
        self.state = state
        print(f"I am a Memento and my state is {self.state}")

class Originator():
    
    def __init__(self):
        self._state = ""

okanyenigun

import org.apache.spark.sql.SparkSession
import org.apache.log4j._
Logger.getLogger("org").setLevel(Level.ERROR)

//start a spark session
val spark = SparkSession.builder().getOrCreate()

//read data
val logregdata = spark.read.option("header","true").option("inferSchema","true").format("csv").load("titanic.csv")
val data = logregdata.na.drop()

okanyenigun

import laspy as lp
import numpy as np
import open3d as o3d

path = "NZ19_Wellington.las"

#read point cloud data
point_cloud=lp.read(path)

#convert to o3d

okanyenigun

import numpy as np
import open3d as o3d

#get point cloud data
armadillo = o3d.data.ArmadilloMesh()
mesh  = o3d.io.read_triangle_mesh(armadillo.path)
N = 2000 #point
pcd = mesh.sample_points_poisson_disk(N)
# fit to unit cube
pcd.scale(1 / np.max(pcd.get_max_bound() - pcd.get_min_bound()),