neulab/odex huggingface dataset:
# convert items in `T1` to integers
def f_642154(T1):
	return [list(map(int, x)) for x in T1]

def check(candidate):
    T1 = (('13', '17', '18', '21', '32'), ('07', '11', '13', '14', '28'), ('01', '05', '06', '08', '15', '16'))
    assert candidate(T1) == [[13, 17, 18, 21, 32], [7, 11, 13, 14, 28], [1, 5, 6, 8, 15, 16]]
# call a shell script `./test.sh` using subprocess
def f_3777301():
	subprocess.call(['./test.sh'])
	return 

import subprocess
from unittest.mock import Mock

def check(candidate):
    subprocess.call = Mock()
    try:
        candidate()
    except:
        assert False
# call a shell script `notepad` using subprocess
def f_3777301():
	subprocess.call(['notepad'])
	return 

import subprocess
from unittest.mock import Mock

def check(candidate):
    subprocess.call = Mock()
    try:
        candidate()
    except:
        assert False
# combine lists `l1` and `l2`  by alternating their elements
def f_7946798(l1, l2):
	return [val for pair in zip(l1, l2) for val in pair]

def check(candidate):
    assert candidate([1,2,3], [10,20,30]) == [1,10,2,20,3,30]

    assert candidate([1,2,3], ['c','b','a']) == [1,'c',2,'b',3,'a']

    assert candidate([1,2,3], ['c','b']) == [1,'c',2,'b']
# encode string 'data to be encoded'
def f_8908287():
	return base64.b64encode(b'data to be encoded')

import base64

def check(candidate):
    assert candidate() == b'ZGF0YSB0byBiZSBlbmNvZGVk'
# encode a string `data to be encoded` to `ascii` encoding
def f_8908287():
	return 'data to be encoded'.encode('ascii')

def check(candidate):
    assert candidate() == b'data to be encoded'
# parse tab-delimited CSV file 'text.txt' into a list
def f_7856296():
	return list(csv.reader(open('text.txt', 'r'), delimiter='\t'))

import csv 

def check(candidate):
    with open('text.txt', 'w', newline='') as csvfile:
        spamwriter = csv.writer(csvfile, delimiter='	')
        spamwriter.writerow(['Spam', 'Lovely Spam', 'Wonderful Spam'])
        spamwriter.writerow(['hello', 'world', '!'])

    assert candidate() == [['Spam', 'Lovely Spam', 'Wonderful Spam'], ['hello', 'world', '!']]
# Get attribute `my_str` of object `my_object`
def f_9035479(my_object, my_str):
	return getattr(my_object, my_str)

def check(candidate):
    class Student:
        id = 9
        name = "abc"
        grade = 97.08

    s = Student()
    
    assert candidate(s, "name") == "abc"

    class Student:
        id = 9
        name = "abc"
        grade = 97.08

    s = Student()
    
    assert (candidate(s, "grade") - 97.08) < 1e-6

    class Student:
        id = 9
        name = "abc"
        grade = 97.08

    s = Student()
    
    assert (candidate(s, "grade") - 97.07) > 1e-6

    class Student:
        id = 9
        name = "abc"
        grade = 97.08

    s = Student()
    
    assert candidate(s, "id") == 9
# group a list of dicts `LD` into one dict by key
def f_5558418(LD):
	return dict(zip(LD[0], zip(*[list(d.values()) for d in LD])))

import collections

def check(candidate):
    employees = [{'name' : 'apple', 'id': 60}, {'name' : 'orange', 'id': 65}]
    exp_result = {'name': ('apple', 'orange'), 'id': (60, 65)}
    actual_result = candidate(employees)
    for key in actual_result:
        assert collections.Counter(list(exp_result[key])) == collections.Counter(list(actual_result[key]))
# sum the first value in each tuple in a list of tuples `list_of_pairs` in python
def f_638048(list_of_pairs):
	return sum([pair[0] for pair in list_of_pairs])

def check(candidate):
    assert candidate([(5, 9), (-1, -2), (4, 2)]) == 8
# convert unicode string u"{'code1':1,'code2':1}" into dictionary
def f_14950260():
	return ast.literal_eval("{'code1':1,'code2':1}")

import ast

def check(candidate):
    d = candidate()
    exp_result = {'code1' : 1, 'code2': 1}
    for key in d:
        if key not in exp_result:
            assert False
        else:
            assert d[key] == exp_result[key]
# find all words in a string `mystring` that start with the `$` sign
def f_11416772(mystring):
	return [word for word in mystring.split() if word.startswith('$')]

def check(candidate):
    str = "$abc def $efg $hij klm $"
    exp_result = ['$abc', '$efg', '$hij', '$']
    assert sorted(candidate(str)) == sorted(exp_result)
# remove any url within string `text`
def f_11331982(text):
	text = re.sub('^https?:\\/\\/.*[\\r\\n]*', '', text, flags=re.MULTILINE)
	return text

import re

def check(candidate):
    assert candidate("https://www.wikipedia.org/ click at") == ""
# replace all elements in array `A` that are not present in array `[1, 3, 4]` with zeros
def f_34945274(A):
	return np.where(np.in1d(A, [1, 3, 4]).reshape(A.shape), A, 0)

import numpy as np

def check(candidate):
    A = np.array([[6, 8, 1, 3, 4], [-1, 0, 3, 5, 1]])
    B = np.array([[0, 0, 1, 3, 4], [0, 0, 3, 0, 1]])
    assert np.array_equal(candidate(A), B)
# calculate mean across dimension in a 2d array `a`
def f_15819980(a):
	return np.mean(a, axis=1)

import numpy as np

def check(candidate):
    A = np.array([[6, 8, 1, 3, 4], [-1, 0, 3, 5, 1]])
    B = np.array([4.4, 1.6])
    assert np.array_equal(candidate(A), B)
# running r script '/pathto/MyrScript.r' from python
def f_19894365():
	return subprocess.call(['/usr/bin/Rscript', '--vanilla', '/pathto/MyrScript.r'])

from unittest.mock import Mock
import subprocess

def check(candidate):
    subprocess.call = Mock(return_value = 0)
    assert candidate() == 0
# run r script '/usr/bin/Rscript --vanilla /pathto/MyrScript.r'
def f_19894365():
	return subprocess.call('/usr/bin/Rscript --vanilla /pathto/MyrScript.r', shell=True)

from unittest.mock import Mock
import subprocess

def check(candidate):
    subprocess.call = Mock(return_value = 0)
    assert candidate() == 0
# replacing nan in the dataframe `df` with row average
def f_33058590(df):
	return df.fillna(df.mean(axis=0))

import pandas as pd
import numpy as np

def check(candidate):
    df = pd.DataFrame([[1,2,3],[4,5,6],[7.0,np.nan,9.0]], columns=["c1","c2","c3"]) 
    res = pd.DataFrame([[1,2,3],[4,5,6],[7.0,3.5,9.0]], columns=["c1","c2","c3"])
    assert candidate(df).equals(res)
# Convert unix timestamp '1347517370' to formatted string '%Y-%m-%d %H:%M:%S'
def f_12400256():
	return time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(1347517370))

import time

def check(candidate):
    assert candidate() == "2012-09-13 06:22:50"
# selecting rows in Numpy ndarray 'a', where the value in the first column is 0 and value in the second column is 1
def f_23359886(a):
	return a[np.where((a[:, (0)] == 0) * (a[:, (1)] == 1))]

import numpy as np

def check(candidate):
    a = np.array([[ 0,  1,  2], [ 3,  4,  5], [ 6,  7,  8], [ 9, 10, 11], [12, 13, 14]])
    res = np.array([[0, 1, 2]])
    assert np.array_equal(candidate(a), res)
# separate words delimited by one or more spaces into a list
def f_4383082(words):
	return re.split(' +', words)

import regex as re

def check(candidate):
    s = "hello world sample text"
    res = ["hello", "world", "sample", "text"]
    assert candidate(s) == res
# length of longest element in list `words`
def f_14637696(words):
	return len(max(words, key=len))

def check(candidate):
    assert candidate(["hello", "world", "sample", "text", "superballer"]) == 11
# get the value associated with unicode key 'from_user' of first dictionary in list `result`
def f_3933478(result):
	return result[0]['from_user']

def check(candidate):
    Contents = [{"hi": 7, "bye": 4, "from_user": 0}, {1: 2, 3: 4, 5: 6}]
    assert candidate(Contents) == 0
# Retrieve each line from a file 'File.txt' as a list
def f_39112645():
	return [line.split() for line in open('File.txt')]

def check(candidate):
    with open('File.txt','w') as fw:
        fw.write("hi hello cat dog")
    assert candidate() == [['hi', 'hello', 'cat', 'dog']]
# swap keys with values in a dictionary `a`
def f_1031851(a):
	return dict((v, k) for k, v in a.items())

def check(candidate):
    a = {"one": 1, "two": 2}
    assert candidate(a) == {1: "one", 2: "two"}
# Open a file `path/to/FILE_NAME.ext` in write mode
def f_8577137():
	return open('path/to/FILE_NAME.ext', 'w')

import os

def check(candidate):
    path1 = os.path.join("", "path")
    os.mkdir(path1)
    path2 = os.path.join("path", "to")
    os.mkdir(path2)
    candidate()
    assert os.path.exists('path/to/FILE_NAME.ext')
# count distinct values in a column 'col3' of a pandas dataframe `df` group by objects in 'col1' and 'col2'
def f_17926273(df):
	return df.groupby(['col1', 'col2'])['col3'].nunique().reset_index()

import pandas as pd

def check(candidate):
    data = [[1, 1, 1], [1, 1, 1], [1, 1, 2], [1, 2, 3], [1, 2, 3], [1, 2, 3], 
            [2, 1, 1], [2, 1, 2], [2, 1, 3], [2, 2, 3], [2, 2, 3], [2, 2, 3]]
    expected = [[1, 1, 2], [1, 2, 1], [2, 1, 3], [2, 2, 1]]
    df = pd.DataFrame(data, columns = ['col1', 'col2', 'col3'])
    expected_df = pd.DataFrame(expected, columns = ['col1', 'col2', 'col3'])
    df1 = candidate(df)
    assert pd.DataFrame.equals(expected_df, df1)
# Check if any key in the dictionary `dict1` starts with the string `EMP$$`
def f_3735814(dict1):
	return any(key.startswith('EMP$$') for key in dict1)

def check(candidate):
    assert candidate({'EMP$$': 1, 'EMP$$112': 4}) == True

    assert candidate({'EMP$$': 1, 'EM$$112': 4}) == True

    assert candidate({'EMP$33': 0}) == False
# create list of values from dictionary `dict1` that have a key that starts with 'EMP$$'
def f_3735814(dict1):
	return [value for key, value in list(dict1.items()) if key.startswith('EMP$$')]

def check(candidate):
    assert sorted(candidate({'EMP$$': 1, 'EMP$$112': 4})) == [1, 4]

    assert sorted(candidate({'EMP$$': 1, 'EM$$112': 4})) == [1]

    assert sorted(candidate({'EMP$33': 0})) == []
# convert a pandas series `sf` into a pandas dataframe `df` with columns `email` and `list`
def f_26097916(sf):
	df = pd.DataFrame({'email': sf.index, 'list': sf.values})
	return df

import pandas as pd

def check(candidate):
    dict = {'email1': [1.0, 5.0, 7.0], 'email2': [4.2, 3.6, -0.9]}
    sf = pd.Series(dict)
    k = [['email1', [1.0, 5.0, 7.0]], ['email2', [4.2, 3.6, -0.9]]]
    df1 = pd.DataFrame(k, columns=['email', 'list'])
    df2 = candidate(sf)
    assert pd.DataFrame.equals(df1, df2)
# concatenate elements of list `list` by tabs `	`
def f_4048964(list):
	return '\t'.join(map(str, list))

def check(candidate):
    assert candidate(['hello', 'world', '!']) == 'hello\tworld\t!'

    assert candidate([]) == ""

    assert candidate(["mconala"]) == "mconala"

    assert candidate(["MCoNaLa"]) == "MCoNaLa"
# print unicode string '\xd0\xbf\xd1\x80\xd0\xb8' with utf-8
def f_3182716():
	return '\xd0\xbf\xd1\x80\xd0\xb8'.encode('raw_unicode_escape')

def check(candidate):
    assert candidate() == b'\xd0\xbf\xd1\x80\xd0\xb8'
# Encode a latin character in string `Sopet\xc3\xb3n` properly
def f_3182716():
	return 'Sopet\xc3\xb3n'.encode('latin-1').decode('utf-8')

def check(candidate):
    assert candidate() == "Sopetón"
# regex, find "n"s only in the middle of string `s`
def f_35622945(s):
	return re.findall('n(?<=[^n]n)n+(?=[^n])(?i)', s)

import re 

def check(candidate):
    assert candidate("ncnnnne") == ['nnnn']

    assert candidate("nn") == []

    assert candidate("ask") == []
# display the float `1/3*100` as a percentage
def f_5306756():
	return '{0:.0f}%'.format(1.0 / 3 * 100)

def check(candidate):
    assert(candidate() == "33%")
# sort a list of dictionary `mylist` by the key `title`
def f_2878084(mylist):
	mylist.sort(key=lambda x: x['title'])
	return mylist

def check(candidate):
    input = [
        {'title':'New York Times', 'title_url':'New_York_Times','id':4}, 
        {'title':'USA Today','title_url':'USA_Today','id':6}, 
        {'title':'Apple News','title_url':'Apple_News','id':2}
    ]
    res = [
        {'title': 'Apple News', 'title_url': 'Apple_News', 'id': 2}, 
        {'title': 'New York Times', 'title_url': 'New_York_Times', 'id': 4},
        {'title': 'USA Today', 'title_url': 'USA_Today', 'id': 6}
    ]
    assert candidate(input) == res
# sort a list `l` of dicts by dict value 'title'
def f_2878084(l):
	l.sort(key=lambda x: x['title'])
	return l

def check(candidate):
    input = [
        {'title':'New York Times', 'title_url':'New_York_Times','id':4}, 
        {'title':'USA Today','title_url':'USA_Today','id':6}, 
        {'title':'Apple News','title_url':'Apple_News','id':2}
    ]
    res = [
        {'title': 'Apple News', 'title_url': 'Apple_News', 'id': 2}, 
        {'title': 'New York Times', 'title_url': 'New_York_Times', 'id': 4},
        {'title': 'USA Today', 'title_url': 'USA_Today', 'id': 6}
    ]
    assert candidate(input) == res
# sort a list of dictionaries by the value of keys 'title', 'title_url', 'id' in ascending order.
def f_2878084(l):
	l.sort(key=lambda x: (x['title'], x['title_url'], x['id']))
	return l

def check(candidate):
    input = [
        {'title':'New York Times', 'title_url':'New_York_Times','id':4}, 
        {'title':'USA Today','title_url':'USA_Today','id':6}, 
        {'title':'Apple News','title_url':'Apple_News','id':2}
    ]
    res = [
        {'title': 'Apple News', 'title_url': 'Apple_News', 'id': 2}, 
        {'title': 'New York Times', 'title_url': 'New_York_Times', 'id': 4},
        {'title': 'USA Today', 'title_url': 'USA_Today', 'id': 6}
    ]
    assert candidate(input) == res
# find 10 largest differences between each respective elements of list `l1` and list `l2`
def f_9323159(l1, l2):
	return heapq.nlargest(10, range(len(l1)), key=lambda i: abs(l1[i] - l2[i]))

import heapq

def check(candidate):
    l1 = [99, 86, 90, 70, 86, 95, 56, 98, 80, 81]
    l2 = [21, 11, 21, 1, 26, 40, 4, 50, 34, 37]
    res = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
    assert candidate(l1, l2) == res
# BeautifulSoup find all 'span' elements in HTML string `soup` with class of 'starGryB sp'
def f_29877663(soup):
	return soup.find_all('span', {'class': 'starGryB sp'})

import bs4

def check(candidate):
    html = '''<span class="starBig sp">4.1</span>
             <span class="starGryB sp">2.9</span>
             <span class="sp starGryB">2.9</span>
             <span class="sp starBig">22</span>'''
    soup = bs4.BeautifulSoup(html, features="html5lib")
    res = '''[<span class="starGryB sp">2.9</span>]'''
    assert(str(candidate(soup)) == res)
# write records in dataframe `df` to table 'test' in schema 'a_schema' with `engine`
def f_24189150(df, engine):
	df.to_sql('test', engine)
	return 

import pandas as pd
from sqlalchemy import create_engine

def check(candidate):
    engine = create_engine('sqlite://', echo=False)
    df = pd.DataFrame({'name' : ['User 1', 'User 2', 'User 3']})
    candidate(df, engine)
    result = pd.read_sql('SELECT name FROM test', engine)
    assert result.equals(df)
# Extract brackets from string `s`
def f_30766151(s):
	return re.sub('[^(){}[\]]', '', s)

import re

def check(candidate):
    assert candidate("(a(vdwvndw){}]") == "((){}]"

    assert candidate("12345") == ""
# remove duplicate elements from list 'L'
def f_1143379(L):
	return list(dict((x[0], x) for x in L).values())

def check(candidate):
    L = [['14', '65', 76], ['2', '5', 6], ['7', '12', 33], ['14', '22', 46]]
    res = [['14', '22', 46], ['2', '5', 6], ['7', '12', 33]]
    assert(candidate(L) == res)

    assert candidate(["a", "aa", "abc", "bac"]) == ["abc", "bac"]
# read a file `file` without newlines
def f_12330522(file):
	return [line.rstrip('\n') for line in file]

def check(candidate):
    res = ['1', '2', '3']
    f = open("myfile.txt", "a")
    f.write("1\n2\n3")
    f.close()
    f = open("myfile.txt", "r")
    assert candidate(f) == res
# get the position of item 1 in `testlist`
def f_364621(testlist):
	return [i for (i, x) in enumerate(testlist) if (x == 1)]

def check(candidate):
    testlist = [1,2,3,5,3,1,2,1,6]
    assert candidate(testlist) == [0, 5, 7]

    testlist = [0, -1]
    assert candidate(testlist) == []
# get the position of item `element` in list `testlist`
def f_364621(testlist, element):
	return testlist.index(element)

def check(candidate):
    testlist = [1,2,3,5,3,1,2,1,6]
    assert candidate(testlist, 1) == 0

    testlist = [1,2,3,5,3,1,2,1,6]
    try:
        candidate(testlist, 14)
    except:
        assert True
# find the first element of the tuple with the maximum second element in a list of tuples `lis`
def f_13145368(lis):
	return max(lis, key=lambda item: item[1])[0]

def check(candidate):
    lis = [(101, 153), (255, 827), (361, 961)]
    assert candidate(lis) == 361
# get the item at index 0 from the tuple that has maximum value at index 1 in list `lis`
def f_13145368(lis):
	return max(lis, key=itemgetter(1))[0]

from operator import itemgetter 

def check(candidate):
    lis = [(101, 153), (255, 827), (361, 961)]
    assert candidate(lis) == 361
# Make a delay of 1 second
def f_2689189():
	time.sleep(1)
	return 

import time

def check(candidate):
    t1 = time.time()
    candidate()
    t2 = time.time()
    assert t2 - t1 > 1
# convert list of tuples `L` to a string
def f_12485244(L):
	return """, """.join('(' + ', '.join(i) + ')' for i in L)

def check(candidate):
    L = [("abc", "def"), ("hij", "klm")]
    assert candidate(L) == '(abc, def), (hij, klm)'
# Django set default value of field `b` equal to '0000000'
def f_755857():
	b = models.CharField(max_length=7, default='0000000', editable=False)
	return b

from django.db import models

def check(candidate):
    assert candidate().get_default() == '0000000'
# Sort lis `list5` in ascending order based on the degrees value of its elements
def f_16193578(list5):
	return sorted(list5, key = lambda x: (degrees(x), x))

from math import degrees

def check(candidate):
    list5 = [4, 1, 2, 3, 9, 5]
    assert candidate(list5) == [1, 2, 3, 4, 5, 9]
# convert a list `l` into a generator object
def f_16041405(l):
	return (n for n in l)

def check(candidate):
    generator = candidate([1,2,3,5])
    assert str(type(generator)) == "<class 'generator'>"
    assert [x for x in generator] == [1, 2, 3, 5]
# remove elements from list `oldlist` that have an index number mentioned in list `removelist`
def f_18837607(oldlist, removelist):
	return [v for i, v in enumerate(oldlist) if i not in removelist]

def check(candidate):
    assert candidate(["asdf","ghjk","qwer","tyui"], [1,3]) == ['asdf', 'qwer']

    assert candidate([1,2,3,4,5], [0,4]) == [2,3,4]
# Open a file `yourfile.txt` in write mode
def f_4710067():
	return open('yourfile.txt', 'w')

def check(candidate):
    fw = candidate()
    assert fw.name == "yourfile.txt"
    assert fw.mode == 'w'
# get attribute 'attr' from object `obj`
def f_7373219(obj, attr):
	return getattr(obj, attr)

def check(candidate):
    class Student:
        student_id = ""
        student_name = ""

        def __init__(self, student_id=101, student_name="Adam"):
            self.student_id = student_id
            self.student_name = student_name

    student = Student()

    assert(candidate(student, 'student_name') == "Adam")
    assert(candidate(student, 'student_id') == 101)

    class Student:
        student_id = ""
        student_name = ""

        def __init__(self, student_id=101, student_name="Adam"):
            self.student_id = student_id
            self.student_name = student_name

    student = Student()

    try:
        value = candidate(student, 'student_none')
    except: 
        assert True
# convert tuple of tuples `(('aa',), ('bb',), ('cc',))` to tuple
def f_8171751():
	return reduce(lambda a, b: a + b, (('aa',), ('bb',), ('cc',)))

from functools import reduce

def check(candidate):
    assert candidate() == ('aa', 'bb', 'cc')
# convert tuple of tuples `(('aa',), ('bb',), ('cc',))` to list in one line
def f_8171751():
	return list(map(lambda a: a[0], (('aa',), ('bb',), ('cc',))))

def check(candidate):
    assert candidate() == ['aa', 'bb', 'cc']
# replace a characters in a column of a dataframe `df`
def f_28986489(df):
	df['range'].replace(',', '-', inplace=True)
	return df

import pandas as pd

def check(candidate):
    df = pd.DataFrame({'range' : [",", "(50,290)", ",,,"]})
    res = pd.DataFrame({'range' : ["-", "(50,290)", ",,,"]})
    assert candidate(df).equals(res)
# unzip the list `[('a', 1), ('b', 2), ('c', 3), ('d', 4)]`
def f_19339():
	return zip(*[('a', 1), ('b', 2), ('c', 3), ('d', 4)])

def check(candidate):
    assert [a for a in candidate()] == [('a', 'b', 'c', 'd'), (1, 2, 3, 4)]
# unzip list `original`
def f_19339(original):
	return ([a for (a, b) in original], [b for (a, b) in original])

def check(candidate):
    original = [('a', 1), ('b', 2), ('c', 3), ('d', 4)]
    assert candidate(original) == (['a', 'b', 'c', 'd'], [1, 2, 3, 4])

    original2 = [([], 1), ([], 2), (5, 3), (6, 4)]
    assert candidate(original2) == ([[], [], 5, 6], [1, 2, 3, 4])
# unzip list `original` and return a generator
def f_19339(original):
	return ((a for (a, b) in original), (b for (a, b) in original))

def check(candidate):
    original = [('a', 1), ('b', 2), ('c', 3), ('d', 4)]
    result = candidate(original)
    assert [a for gen in result for a in gen] == ['a','b','c','d',1,2,3,4]

    original2 = [([], 1), ([], 2), (5, 3), (6, 4)]
    result2 = candidate(original2)
    assert [a for gen in result2 for a in gen] == [[], [], 5, 6, 1, 2, 3, 4]
# unzip list `[('a', 1), ('b', 2), ('c', 3), ('d', 4), ('e', )]`
def f_19339():
	return zip(*[('a', 1), ('b', 2), ('c', 3), ('d', 4), ('e',)])

def check(candidate):
    assert list(candidate()) == [('a', 'b', 'c', 'd', 'e')]
# unzip list `[('a', 1), ('b', 2), ('c', 3), ('d', 4), ('e', )]` and fill empty results with None
def f_19339():
	return list(zip_longest(('a', 1), ('b', 2), ('c', 3), ('d', 4), ('e',)))

from itertools import zip_longest

def check(candidate):
    assert(candidate() == [('a', 'b', 'c', 'd', 'e'), (1, 2, 3, 4, None)])
# encode `Decimal('3.9')` to a JSON string
def f_1960516():
	return json.dumps('3.9')

import json

def check(candidate):
    data = candidate()
    assert json.loads(data) == '3.9'
# Add key "mynewkey" to dictionary `d` with value "mynewvalue"
def f_1024847(d):
	d['mynewkey'] = 'mynewvalue'
	return d

def check(candidate):
    assert candidate({'key': 'value'}) == {'key': 'value', 'mynewkey': 'mynewvalue'}
# Add key 'a' to dictionary `data` with value 1
def f_1024847(data):
	data.update({'a': 1, })
	return data

def check(candidate):
    assert candidate({'key': 'value'}) == {'key': 'value', 'a': 1}

    assert candidate({'key': 'value', 'a' : 2}) == {'key': 'value', 'a': 1}
# Add key 'a' to dictionary `data` with value 1
def f_1024847(data):
	data.update(dict(a=1))
	return data

def check(candidate):
    assert candidate({'key': 'value'}) == {'key': 'value', 'a': 1}

    assert candidate({'key': 'value', 'a' : 2}) == {'key': 'value', 'a': 1}
# Add key 'a' to dictionary `data` with value 1
def f_1024847(data):
	data.update(a=1)
	return data

def check(candidate):
    assert candidate({'key': 'value'}) == {'key': 'value', 'a': 1}

    assert candidate({'key': 'value', 'a' : 2}) == {'key': 'value', 'a': 1}
# find maximal value in matrix `matrix`
def f_35837346(matrix):
	return max([max(i) for i in matrix])

def check(candidate):
    assert candidate([[1,2,3],[4,5,6],[7,8,9]]) == 9

    assert candidate([[1.3,2.8],[4.2,10],[7.9,8.1,5]]) == 10
# Round number `answer` to 2 precision after the decimal point
def f_20457038(answer):
	answer = str(round(answer, 2))
	return answer

def check(candidate):
    assert candidate(2.34351) == "2.34"

    assert candidate(99.375) == "99.38"

    assert candidate(4.1) == "4.1"

    assert candidate(3) == "3"
# extract ip address `ip` from an html string `s`
def f_2890896(s):
	ip = re.findall('[0-9]+(?:\\.[0-9]+){3}', s)
	return ip

import re

def check(candidate):
    assert candidate("<html><head><title>Current IP Check</title></head><body>Current IP Address: 165.91.15.131</body></html>") == ["165.91.15.131"]

    assert candidate("<html><head><title>Current IP Check</title></head><body>Current IP Address: 165.91.15.131 and this is not a IP Address: 165.91.15</body></html>") == ["165.91.15.131"]

    assert candidate("<html><head><title>Current IP Check</title></head><body>Current IP Address: 192.168.1.1 & this is another IP address: 192.168.1.2</body></html>") == ["192.168.1.1", "192.168.1.2"]