def when(predicate, when_true):
  return lambda x: when_true(x) if predicate(x) else x

double_even_numbers = when(lambda x: x % 2 == 0, lambda x : x * 2)
print(double_even_numbers(2)) # 4
print(double_even_numbers(1)) # 1

from time import sleep

def delay(fn, ms, *args):
  sleep(ms / 1000)
  return fn(*args)

delay(lambda x: print(x), 1000, 'later') # prints 'later' after one second

import os, json, boto3, requests
from flask import Flask, request, jsonify
from flask_cors import CORS, cross_origin
from random import shuffle

app = Flask(__name__)
cors = CORS(app)

dynamodb = boto3.resource("dynamodb", region_name="us-east-1")

app.url_map.strict_slashes = False
SECRET_KEY = os.environ.get("SECRET_KEY")


@app.route("/teks")
def teks_request():
    teks_file = open("teks.json", "r")
    data = json.load(teks_file)
    return jsonify(data)


@app.route("/teks/find/113.41.<int:teks_id>.<string:section_id>")
def teks_find_request(teks_id, section_id):
    teks_file = open("teks.json", "r")
    data = json.load(teks_file)
    for item in data:
        if item["id"] == teks_id:
            for child in item["children"]:
                if child["id"] == section_id:
                    return {"tek": item, "content": child["content"]}
    return jsonify(
        [
            f"Something went wrong. TEKS section id of {section_id} cannot be found within TEKS section {teks_id}."
        ]
    )

@app.route("/lessonplan/read/<id>")
def read_lesson_plan(id):
    lesson_table = dynamodb.Table("Lesson_Plans")
    items = lesson_table.scan()['Items']
    for lesson in items:
        if (lesson["uuid"] == id):
            return jsonify(lesson)
    return {"error": "id does not exist", "section": id}

@app.route("/teks/<int:teks_id>")
def teks_id_request(teks_id):
    teks_file = open("teks.json", "r")
    data = json.load(teks_file)
    for item in data:
        if item["id"] == teks_id:
            return jsonify(item)
    return jsonify([f"Something went wrong. TEKS id of {teks_id} cannot be found."])


@app.route("/assessment/write", methods=["GET", "POST"])
def assessment_write():
    assessment_json = request.json
    assessment_data = dict(assessment_json)
    assessment_table = dynamodb.Table("Assessments")
    assessment_table.put_item(Item=assessment_data)

    if assessment_data == get_assessment(assessment_data["id"]):
        return "Success"
    else:
        return "Failure"

@app.route("/students/read/<id>")
def students_read(id):
    return jsonify(get_students(id))

@app.route("/students/read")
def all_students_read():
    student_table = dynamodb.Table("Students") 
    items = student_table.scan()['Items']
    return jsonify(items)

@app.route("/assessment/read/<id>")
def assessment_read(id):
    return jsonify(get_assessment(id))


@app.route("/assessment/submit/<id>", methods=["POST"])
def submit_assessment(id):
    assessments_table = dynamodb.Table("Assessments")
    assessment = assessments_table.get_item(Key={"id": id})

    if not assessment.get("Item"):
        return {"error": "id does not exist", "section": id}

    responses = {
        question["id"]: question["response"]
        for question in request.json.get("questions")
    }

    correct_answers = 0

    for response in responses:
        # print(
        #     (
        #         responses[response],
        #         find_question(assessment.get("Item").get("questions"), response).get(
        #             "correctAnswer"
        #         ),
        #     )
        # )
        if responses[response] == find_question(
            assessment.get("Item").get("questions"), response
        ).get("correctAnswer"):

            correct_answers += 1

    score = correct_answers / len(request.json.get("questions"))

    users_table = dynamodb.Table("Students")

    users_table.update_item(
        Key={"uuid": request.json.get("student_id")},
        UpdateExpression="SET completedAssessments = list_append(completedAssessments, :i)",
        ExpressionAttributeValues={
            ":i": [
                {
                    "id": id,
                    "score": round(score * 100),
                }
            ]
        },
    )

    message = None
    if round(score * 100) > 70:
        message = f"Congratulations! You passed your assessment with a {round(score * 100)}%."
    else:
        message = f"You failed your assessment with a {round(score * 100)}%."

    sns = boto3.client("sns", region_name="us-east-1")
    number = "+15125967383"
    sns.publish(PhoneNumber=number, Message=message)

    return {"score": score, "message": message}


def find_question(all, id):
    #print("id to find: ", id)
    for question in all:
        if question["id"] == id:
            #print(question)
            return question


def get_assessment(id):
    assessment_table = dynamodb.Table("Assessments")
    results = assessment_table.get_item(Key={"id": id})

    if results.get("Item") is None:
        return {"error": "id does not exist", "section": id}
    else:
        quiz = results.get("Item")
        return {
            "title": quiz.get("title"),
            "id": quiz.get("id"),
            "questions": [
                {
                    "id": question.get("id"),
                    "title": question.get("title"),
                    "options": random_answers(
                        question.get("incorrectAnswers")
                        + [question.get("correctAnswer")]
                    ),
                }
                for question in quiz.get("questions")
            ],
        }

def get_students(id):
    students_table = dynamodb.Table('Students')
    results = students_table.get_item(Key = {
        "uuid": id
    })

    if(results.get("Item") is None):
        return {'error': 'id does not exist', 'section': id}
    else:
        student = results.get("Item")
        return student

def lesson_plans_read():
    student_table = dynamodb.Table("Lesson_Plans")
    items = student_table.scan()['Items']
    return jsonify(items)

def random_answers(answers):
    shuffle(answers)
    return answers

@app.route("/recommendations/<uuid>")
def get_recommendation(uuid):
    student_info_table = dynamodb.Table('Students')
    lesson_plans_table = dynamodb.Table('Lesson_Plans')
    student = get_students(uuid)
    tek = student.get("struggleTeks")[0]

    lesson_plans = lesson_plans_table.scan( Select='ALL_ATTRIBUTES', FilterExpression='tek = :s', ExpressionAttributeValues={ ":s": tek })

    #print(lesson_plans) 

    return jsonify({"student": student, "lesson_plans": lesson_plans.get("Items")})

if __name__ == "__main__":
    app.run(host="0.0.0.0", debug=True)

# Python program for Plotting Fibonacci 
# spiral fractal using Turtle 
import turtle 
import math 
  
def fiboPlot(n): 
    a = 0
    b = 1
    square_a = a 
    square_b = b 
  
    # Setting the colour of the plotting pen to blue 
    x.pencolor("blue") 
  
    # Drawing the first square 
    x.forward(b * factor) 
    x.left(90) 
    x.forward(b * factor) 
    x.left(90) 
    x.forward(b * factor) 
    x.left(90) 
    x.forward(b * factor) 
  
    # Proceeding in the Fibonacci Series 
    temp = square_b 
    square_b = square_b + square_a 
    square_a = temp 
      
    # Drawing the rest of the squares 
    for i in range(1, n): 
        x.backward(square_a * factor) 
        x.right(90) 
        x.forward(square_b * factor) 
        x.left(90) 
        x.forward(square_b * factor) 
        x.left(90) 
        x.forward(square_b * factor) 
  
        # Proceeding in the Fibonacci Series 
        temp = square_b 
        square_b = square_b + square_a 
        square_a = temp 
  
    # Bringing the pen to starting point of the spiral plot 
    x.penup() 
    x.setposition(factor, 0) 
    x.seth(0) 
    x.pendown() 
  
    # Setting the colour of the plotting pen to red 
    x.pencolor("red") 
  
    # Fibonacci Spiral Plot 
    x.left(90) 
    for i in range(n): 
        print(b) 
        fdwd = math.pi * b * factor / 2
        fdwd /= 90
        for j in range(90): 
            x.forward(fdwd) 
            x.left(1) 
        temp = a 
        a = b 
        b = temp + b 
  
  
# Here 'factor' signifies the multiplicative  
# factor which expands or shrinks the scale 
# of the plot by a certain factor. 
factor = 1
  
# Taking Input for the number of  
# Iterations our Algorithm will run 
n = int(input('Enter the number of iterations (must be > 1): ')) 
  
# Plotting the Fibonacci Spiral Fractal  
# and printing the corresponding Fibonacci Number 
if n > 0: 
    print("Fibonacci series for", n, "elements :") 
    x = turtle.Turtle() 
    x.speed(100) 
    fiboPlot(n) 
    turtle.done() 
else: 
    print("Number of iterations must be > 0")

# Given a number n, print all primes smaller than or equal to n. It is also given that n is a small number.
# For example, if n is 10, the output should be “2, 3, 5, 7”. If n is 20, the output should be “2, 3, 5, 7, 11, 13, 17, 19”.


# Python program to print all primes smaller than or equal to
# n using Sieve of Eratosthenes

def SieveOfEratosthenes(n):
	
	# Create a boolean array "prime[0..n]" and initialize
	# all entries it as true. A value in prime[i] will
	# finally be false if i is Not a prime, else true.
	prime = [True for i in range(n + 1)]
	p = 2
	while (p * p <= n):
		
		# If prime[p] is not changed, then it is a prime
		if (prime[p] == True):
			
			# Update all multiples of p
			for i in range(p * 2, n + 1, p):
				prime[i] = False
		p += 1
	prime[0]= False
	prime[1]= False
	# Print all prime numbers
	for p in range(n + 1):
		if prime[p]:
			print (p)

# driver program
if __name__=='__main__':
    n = 30
    print("Following are the prime numbers smaller")
    print("than or equal to ", n)
    print("than or equal to ", n)
    SieveOfEratosthenes(n)

from math import pi

def rads_to_degrees(rad):
  return (rad * 180.0) / pi

rads_to_degrees(pi / 2) # 90.0