leticiawanderley

{
    "name": "ps_python_printing_file_contents",
    "description": "",
    "instructions": "Construct a program that opens up a file and prints out each line of the file",
    "initial": "try:\n\tmyfile=open(filename, \"r\")\n\tlinenum=1\n\tfor line in myfile:\n\t\twords = line.split()\n\t\tword=words[2]\n\t\tprint(\"The third work in line\",linenum,\"is\",word)\n\t\tlinenum+=1\nexcept OSError:\n\tprint(\"Error reading the file.\")\n",
    "vartests": "[{ initcode : \"class OSError():\n\tdef __init__(self,text):\n\t\tpass\nfile_opened = 'False'\nfilename = 'text.txt'\nclass MockFile:\n\tdef __init__(self):\n\t\tglobal file_opened\n\t\tfile_opened = 'True'\n\t\tself.content = ['Some','sample','text']\n\t\tself.counter = 0\n\tdef readline(self):\n\t\tif file_opened == 'False':\n\t\t\traise ValueError('I/O operation on closed file')\n\t\tif self.counter < len(self.content):\n\t\t\tline = self.content[self.counter] + '\\\n' \n\t\t\tself.counter = self.counter + 1\n\t\telse:\n\t\t\tline = ''\n\t\treturn line\n\t

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{"settings":{"code":"left","heapHeight":"80","stackHeight":"150","width":"800"},"init":[["setLine",1],["createFunction","range","range(a, b)",2,"-1"],["createOperator","%","lr"],["createOperator","==","lr"],["createOperator","and","l"],["createFunction","print","print(a, ...)",-1,"-1"],["createFrame"]],"steps":[["addFunction","range","0",2],["addValue","1","0/0/0","int"],["addValue","101","0/1/0","int"],["evaluateFunction","0"],["clearEvaluationArea_"],["_createIterator","i1","-1"],["_label","l1"],["_iterate","i1","@l2","@l3"],["_label","l2"],["takeNext","i1","0"],["assign","i"],["setLine",2],["addValueFromVariable","i","0"],["addOperator","%","1"],["addValue","5","2","int"],["evaluateOperator","1"],["addOperator","==","1"],["addValue","0","2","int"],["evaluateOperator","1"],["addOperator","and","1"],["evaluateOperator","1"],["_conditionalJump","@l8","@l9"],["_label","l8"],["removeElement_","0"],["addValueFromVariable","i","0"],["addOperator","%","1"],["addValue","7","2","int"],["evaluateOperator","1"],["addO

leticiawanderley

## NUMBER OF TREES
if __name__ == '__main__':
    fptr = open(os.environ['OUTPUT_PATH'], 'w')
    
    edges = input().strip()
    edges = edges.replace('{', '').replace('[', '').\
            replace('}]', '}, ').replace(']', '').split('}, ')
    
    graph = {}
    for edge in edges[:-1]:

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grid = [
  ["1","1","1","1","0"],
  ["1","1","0","1","0"],
  ["1","1","0","0","0"],
  ["0","0","0","0","0"]
]
island = 0
seen = set([])
i = 0
while i < len(grid):

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import pandas as pd
import pingouin as pg
import researchpy as rp
import scipy.stats as stats


df = pd.read_csv('EduCHI_data_2019.csv', index_col=[0])
violation_columns = ['Heuristic evaluation lab (violations)',
                     '401 evaluation lab (violations)',
                     'P1 Individual (violations)',

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import pandas as pd
import pingouin as pg

from scipy import stats


df = pd.read_csv('EduCHI_data_2019.csv', index_col=[0])

violation_columns = ['Heuristic evaluation lab (violations)',
                     '401 evaluation lab (violations)',

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import argparse
import re


def compute_accuracy(filename):
    language_re = r'udhr-([a-zA-Z0-9_]*)\.'
    correct = 0
    total = 0
    f = open(filename, 'r')
    for line in f.readlines()[1:]:

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leticiawanderley

import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import re

ordered_responses = {
    'Strongly Disagree': 0,
    'Disagree': 1,
    'Neutral': 2,
    'Agree': 3,

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import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import random

def create_x_values():
    values = [[0, 1, 2, 3, 4, 5],
              [-0.0375, 1, 2, 3, 4, 5],
              [-0.025, 0.9625, 2, 3, 4, 4.9625], 
              [0.025, 0.975, 1.9625, 3, 4, 5],