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Return Letter Combinations

Nov 18, 2022AustinLeath
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Goobla Academy Flask API

Nov 18, 2022AustinLeath

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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)

UNT CSCE 2100 Assignment 6

Nov 18, 2022AustinLeath

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"""
Assignment 6
The goal is to make a graph of
who bit who and who was bitten.
There should be 10 nodes and 15 edges.
3 arrows of biting each other and
3 arrows of someone biting themselves.
Networkx can not do self biting
arrows, but it is in the code.
"""
from graphviz import Digraph as DDotGraph
from graphviz import Graph as UDotGraph
import networkx as nx
from networkx.algorithms.dag import transitive_closure
import graphviz as gv
import matplotlib.pyplot as plt
import numpy as np
from numpy.linalg import matrix_power
"""
class DGraph:
def __init__(self):
self.d = dict()
def clear(self):
self.d = dict()
def add_node(self,n):
if not self.d.get(n):
self.d[n] = set()
def add_edge(self,e):
f,t=e
self.add_node(f)
self.add_node(t)
vs=self.d.get(f)
if not vs:
self.d[f] = {t}
else:
vs.add(t)
def add_edges_from(self,es):
for e in es:
self.add_edge(e)
def edges(self):
for f in self.d:
for t in self.d[f]:
yield (f,t)
def number_of_nodes(self):
return len(self.d)
def __repr__(self):
return self.d.__repr__()
def show(self):
dot = gv.Digraph()
for e in self.edges():
#print(e)
f, t = e
dot.edge(str(f), str(t), label='')
#print(dot.source)
show(dot)
# displays graph with graphviz
def show(dot, show=True, file_name='graph.gv'):
dot.render(file_name, view=show)
def showGraph(g,label="",directed=True):
if directed:
dot = gv.Digraph()
else:
dot = gv.Graph()
for e in g.edges():
print(e)
f, t = e
dot.edge(str(f), str(t), label=label)
print(dot.source)
show(dot)
def bit():
G = DGraph()
G.add_edge(("Blade","Samara"))
G.add_edge(("Shadow","Wolfe"))
G.add_edge(("Raven", "Austin"))
G.add_edge(("Blade", "Alice"))
G.add_edge(("Alice","Brandon"))
G.add_edge(("Blade", "Wolfe"))
G.add_edge(("Samara", "Robin"))
G.add_edge(("Samara", "Raven"))
G.add_edge(("Samara", "Hamed"))
G.add_edge(("Wolfe", "Blade"))
G.add_edge(("Hamed", "Samara"))
G.add_edge(("Wolfe", "Shadow"))
G.add_edge(("Brandon", "Brandon"))
G.add_edge(("Hamed", "Hamed"))
G.add_edge(("Austin", "Austin"))
showGraph(G, label="bit")
bit()
def bitten():
G=DGraph()
G.add_edge(("Samara","Blade"))
G.add_edge(("Wolfe","Shadow"))
G.add_edge(("Austin", "Raven"))
G.add_edge(("Alice","Blade"))
G.add_edge(("Brandon", "Alice"))
G.add_edge(("Wolfe", "Blade" ))
G.add_edge(("Robin", "Samara"))
G.add_edge(("Raven", "Samara"))
G.add_edge(("Hamed", "Samara"))
G.add_edge(("Blade", "Wolfe"))
G.add_edge(("Samara", "Hamed"))
G.add_edge(("Shadow", "Wolfe"))
G.add_edge(("Brandon", "Brandon"))
G.add_edge(("Hamed", "Hamed"))
G.add_edge(("Austin", "Austin"))
showGraph(G, label="bitten by")
#bitten()
family = ["Blade", "Samara", "Shadow", "Wolfe", "Raven", "Alice"]
"""
#Do transitive closure call out and the
#matrix power operation should be the same
D = nx.DiGraph()
#D.add_nodes_from("SamaraBladeWolfeShadowAliceRavenBrandonRobinHamedAustin")
D.add_edge("Blade","Samara")
D.add_edge("Shadow","Wolfe")
D.add_edge("Raven", "Austin")
D.add_edge("Blade", "Alice")
D.add_edge("Alice","Brandon")
D.add_edge("Blade", "Wolfe")
D.add_edge("Samara", "Robin")
D.add_edge("Samara", "Raven")
D.add_edge("Samara", "Hamed")
D.add_edge("Wolfe", "Blade")
D.add_edge("Hamed", "Samara")
D.add_edge("Wolfe", "Shadow")
D.add_edge("Brandon", "Brandon")
D.add_edge("Hamed", "Hamed")
D.add_edge("Austin", "Austin")
T = transitive_closure(D)
for e in D.edges(): print(e)
for n in D.nodes(): print(n)
def show(H):
nx.draw(H, with_labels=True, font_weight='bold')
plt.show()
#Use nx.to_numpy_matrix instead of nx.adjacency_matrix
# M = nx.adjacency_matrix(D)
# MT = nx.adjacency_matrix(T)
M = nx.to_numpy_matrix(D)
MT = nx.to_numpy_matrix(T)
M2 = M@M
def mPower(M, k): #M is numpy matrix
assert k >= 1
P = M
for _ in range(k):
P = P @ M
return P
def tc(M):
#compute transitive closure
pass
D1 = nx.DiGraph(M)
D2 = nx.DiGraph(M2)
print('Matrix for Original\n', M)
N = nx.to_numpy_array(D,dtype=int)
print('np_array for Original\n', N)
print('\nMatrix for Transitive Closure\n', MT)
N2 = nx.to_numpy_array(T,dtype=int)
print('np_array for Transitive Closure\n', N2)
show(D) #can use D, T, and numpy matrix power operation
show(T)
show(T)

Calculate the Area of a Triangle

May 31, 2023CodeCatch

0 likes • 0 views

# Prompt user for base and height
base = float(input("Enter the base of the triangle: "))
height = float(input("Enter the height of the triangle: "))
# Calculate the area
area = (base * height) / 2
# Display the result
print("The area of the triangle is:", area)

Using logic with sets

Nov 18, 2022AustinLeath

0 likes • 1 view

#Sets
U = {0,1,2,3,4,5,6,7,8,9}
P = {1,2,3,4}
Q = {4,5,6}
R = {3,4,6,8,9}
def set2bits(xs,us) :
bs=[]
for x in us :
if x in xs :
bs.append(1)
else:
bs.append(0)
assert len(us) == len(bs)
return bs
def union(set1,set2) :
finalSet = set()
bitList1 = set2bits(set1, U)
bitList2 = set2bits(set2, U)
for i in range(len(U)) :
if(bitList1[i] or bitList2[i]) :
finalSet.add(i)
return finalSet
def intersection(set1,set2) :
finalSet = set()
bitList1 = set2bits(set1, U)
bitList2 = set2bits(set2, U)
for i in range(len(U)) :
if(bitList1[i] and bitList2[i]) :
finalSet.add(i)
return finalSet
def compliment(set1) :
finalSet = set()
bitList = set2bits(set1, U)
for i in range(len(U)) :
if(not bitList[i]) :
finalSet.add(i)
return finalSet
def implication(a,b):
return union(compliment(a), b)
###########################################################################################
###################### Problems 1-6 #######################################
###########################################################################################
#p \/ (q /\ r) = (p \/ q) /\ (p \/ r)
def prob1():
return union(P, intersection(Q,R)) == intersection(union(P,Q), union(P,R))
#p /\ (q \/ r) = (p /\ q) \/ (p /\ r)
def prob2():
return intersection(P, union(Q,R)) == union(intersection(P,Q), intersection(P,R))
#~(p /\ q) = ~p \/ ~q
def prob3():
return compliment(intersection(P,R)) == union(compliment(P), compliment(R))
#~(p \/ q) = ~p /\ ~q
def prob4():
return compliment(union(P,Q)) == intersection(compliment(P), compliment(Q))
#(p=>q) = (~q => ~p)
def prob5():
return implication(P,Q) == implication(compliment(Q), compliment(P))
#(p => q) /\ (q => r) => (p => r)
def prob6():
return implication(intersection(implication(P,Q), implication(Q,R)), implication(P,R))
print("Problem 1: ", prob1())
print("Problem 2: ", prob2())
print("Problem 3: ", prob3())
print("Problem 4: ", prob4())
print("Problem 5: ", prob5())
print("Problem 6: ", prob6())
'''
Problem 1: True
Problem 2: True
Problem 3: True
Problem 4: True
Problem 5: True
Problem 6: {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}
'''

Compute all the Permutation of a String

May 31, 2023CodeCatch

0 likes • 2 views

import itertools
def compute_permutations(string):
# Generate all permutations of the string
permutations = itertools.permutations(string)
# Convert each permutation tuple to a string
permutations = [''.join(permutation) for permutation in permutations]
return permutations
# Prompt the user for a string
string = input("Enter a string: ")
# Compute permutations
permutations = compute_permutations(string)
# Display the permutations
print("Permutations:")
for permutation in permutations:
print(permutation)

AnyTree Randomizer

Apr 15, 2021NoahEaton

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import anytree as at
import random as rm
# Generate a tree with node_count many nodes. Each has a number key that shows when it was made and a randomly selected color, red or white.
def random_tree(node_count):
# Generates the list of nodes
nodes = []
for i in range(node_count):
test = rm.randint(1,2)
if test == 1:
nodes.append(at.Node(str(i),color="white"))
else:
nodes.append(at.Node(str(i),color="red"))
#Creates the various main branches
for i in range(node_count):
for j in range(i, len(nodes)):
test = rm.randint(1,len(nodes))
if test == 1 and nodes[j].parent == None and (not nodes[i] == nodes[j]):
nodes[j].parent = nodes[i]
#Collects all the main branches into a single tree with the first node being the root
for i in range(1, node_count):
if nodes[i].parent == None and (not nodes[i] == nodes[0]):
nodes[i].parent = nodes[0]
return nodes[0]