KrossKinetic/odex-en huggingface dataset:
# Get the characters count in a file `filepath`
def f_2011048(filepath):
	return os.stat(filepath).st_size

import os

def check(candidate):
    with open("tmp.txt", 'w') as fw: fw.write("hello world!")
    assert candidate("tmp.txt") == 12


    with open("tmp.txt", 'w') as fw: fw.write("")
    assert candidate("tmp.txt") == 0


    with open("tmp.txt", 'w') as fw: fw.write('\n')
    assert candidate("tmp.txt") == 1


    filename = 'o.txt'
    with open (filename, 'w') as f:
        f.write('a')
    assert candidate(filename) == 1
# count the occurrences of item "a" in list `l`
def f_2600191(l):
	return l.count('a')

def check(candidate):
    assert candidate("123456asf") == 1


    assert candidate("123456gyjnccfgsf") == 0


    assert candidate("aA"*10) == 10
# count the occurrences of items in list `l`
def f_2600191(l):
	return Counter(l)

from collections import Counter 

def check(candidate):
    assert dict(candidate("123456asf")) == {'1': 1, '2': 1, '3': 1, '4': 1, '5': 1, '6': 1, 'a': 1, 's': 1, 'f': 1}


    assert candidate("123456gyjnccfgsf") == {'1': 1,'2': 1,'3': 1,'4': 1,'5': 1,'6': 1,'g': 2,'y': 1,'j': 1,'n': 1,'c': 2,'f': 2,'s': 1}


    assert candidate("aA"*10) == {'a': 10, 'A': 10}


    y = candidate([1, 6])
    assert y[1] == 1
    assert y[6] == 1
# count the occurrences of items in list `l`
def f_2600191(l):
	return [[x, l.count(x)] for x in set(l)]

from collections import Counter 

def check(candidate):
    assert sorted(candidate("123456asf")) == [['1', 1],['2', 1],['3', 1],['4', 1],['5', 1],['6', 1],['a', 1],['f', 1],['s', 1]]


    assert sorted(candidate("aA"*10)) == [['A', 10], ['a', 10]]
# count the occurrences of items in list `l`
def f_2600191(l):
	return dict(((x, l.count(x)) for x in set(l)))

from collections import Counter 

def check(candidate):
    assert candidate("123456asf") == {'4': 1, 'a': 1, '1': 1, 's': 1, '6': 1, 'f': 1, '3': 1, '5': 1, '2': 1}


    assert candidate("aA"*10) == {'A': 10, 'a': 10}


    assert candidate([1, 6]) == {1: 1, 6: 1}
# count the occurrences of item "b" in list `l`
def f_2600191(l):
	return l.count('b')

def check(candidate):
    assert candidate("123456abbbsf") == 3


    assert candidate("123456gyjnccfgsf") == 0


    assert candidate("Ab"*10) == 10
# find the key associated with the largest value in dictionary `x` whilst key is non-zero value
def f_1555968(x):
	return max(k for k, v in x.items() if v != 0)

def check(candidate):
    assert candidate({'a': 1, 'b': 2, 'c': 2000}) == 'c'


    assert candidate({'a': 0., 'b': 0, 'c': 200.02}) == 'c'


    assert candidate({'key1': -100, 'key2': 0.}) == 'key1'


    x = {1:"g", 2:"a", 5:"er", -4:"dr"}
    assert candidate(x) == 5
# combine values from column 'b' and column 'a' of dataframe `df`  into column 'c' of datafram `df`
def f_38152389(df):
	df['c'] = np.where(df['a'].isnull, df['b'], df['a'])
	return df

import numpy as np 
import pandas as pd 

def check(candidate):
    df = pd.DataFrame({'a': [1,2,3], 'b': [0,0,0]})
    assert np.allclose(candidate(df), pd.DataFrame({'a': [1,2,3], 'b': [0,0,0], 'c': [0,0,0]}))


    df = pd.DataFrame({'a': [0,2,3], 'b': [4,5,6]})
    assert np.allclose(candidate(df), pd.DataFrame({'a': [0,2,3], 'b': [4,5,6], 'c': [4,5,6]}))
# increment a value with leading zeroes in a number `x`
def f_587647(x):
	return str(int(x) + 1).zfill(len(x))

def check(candidate):
    assert candidate("001") == "002"


    assert candidate("100") == "101"
# check if a pandas dataframe `df`'s index is sorted
def f_17315881(df):
	return all(df.index[:-1] <= df.index[1:])

import pandas as pd 

def check(candidate):
    df1 = pd.DataFrame({'a': [1,2], 'bb': [0,2]})
    assert candidate(df1) == True


    df2 = pd.DataFrame({'a': [1,2,3,4,5], 'bb': [0,3,5,7,9]})
    shuffled = df2.sample(frac=3, replace=True)
    assert candidate(shuffled) == False


    df = pd.DataFrame([[1, 2], [5, 4]], columns=['a', 'b'])
    assert candidate(df)
# Convert tuple `t` to list
def f_16296643(t):
	return list(t)

def check(candidate):
    assert candidate((0, 1, 2)) == [0,1,2]


    assert candidate(('a', [], 100)) == ['a', [], 100]
# Convert list `t` to tuple
def f_16296643(t):
	return tuple(t)

def check(candidate):
    assert candidate([0,1,2]) == (0, 1, 2)


    assert candidate(['a', [], 100]) == ('a', [], 100)
# convert a raw string `raw_string` into a normal string
def f_24242433(raw_string):
	return raw_string.decode('unicode_escape')

def check(candidate):
    assert candidate(b"Hello") == "Hello"


    assert candidate(b"hello world!") == "hello world!"


    assert candidate(b". ?? !!x") == ". ?? !!x"
# convert a raw string `raw_byte_string` into a normal string
def f_24242433(raw_byte_string):
	return raw_byte_string.decode('unicode_escape')

def check(candidate):
    assert candidate(b"Hello") == "Hello"


    assert candidate(b"hello world!") == "hello world!"


    assert candidate(b". ?? !!x") == ". ?? !!x"
# convert list `list_of_ints` into a comma separated string
def f_438684(list_of_ints):
	return """,""".join([str(i) for i in list_of_ints])

def check(candidate):
    list_of_ints = [8, 7, 6]
    assert candidate(list_of_ints) == '8,7,6'


    list_of_ints = [0, 1, 6]
    assert candidate(list_of_ints) == '0,1,6'
# create a list containing each two adjacent letters in string `word` as its elements
def f_41923858(word):
	return [(x + y) for x, y in zip(word, word[1:])]

def check(candidate):
    assert candidate('abcdef') == ['ab', 'bc', 'cd', 'de', 'ef']


    assert candidate(["hello", "world", "!"]) == ["helloworld", "world!"]
# extract a url from a string `myString`
def f_9760588(myString):
	return re.findall('(https?://[^\\s]+)', myString)

import re

def check(candidate):
    assert candidate("This is a link http://www.google.com") == ["http://www.google.com"]


    assert candidate("Please refer to the website: http://www.google.com") == ["http://www.google.com"]
# extract a url from a string `myString`
def f_9760588(myString):
	return re.search('(?P<url>https?://[^\\s]+)', myString).group('url')

import re

def check(candidate):
    assert candidate("This is a link http://www.google.com") == "http://www.google.com"


    assert candidate("Please refer to the website: http://www.google.com") == "http://www.google.com"
# replace spaces with underscore in string `mystring`
def f_1007481(mystring):
	return mystring.replace(' ', '_')

def check(candidate):
    assert candidate(' ') == '_'


    assert candidate(' _ ') == '___'


    assert candidate('') == ''


    assert candidate('123123') == '123123'


    assert candidate('\_ ') == '\__'
# split string `my_string` on white spaces
def f_1249786(my_string):
	return """ """.join(my_string.split())

def check(candidate):
    assert candidate('hello   world ') == 'hello world'


    assert candidate('') == ''


    assert candidate('    ') == ''


    assert candidate('  hello') == 'hello'


    assert candidate(' h  e  l  l  o   ') == 'h e l l o'
# get filename without extension from file `filename`
def f_4444923(filename):
	return os.path.splitext(filename)[0]

import os

def check(candidate):
    assert candidate('/Users/test/hello.txt') == '/Users/test/hello'


    assert candidate('hello.txt') == 'hello'


    assert candidate('hello') == 'hello'


    assert candidate('.gitignore') == '.gitignore'
# get a list containing the sum of each element `i` in list `l` plus the previous elements
def f_13728486(l):
	return [sum(l[:i]) for i, _ in enumerate(l)]

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


    assert candidate([]) == []


    assert candidate([1]) == [0]
# split a string `Docs/src/Scripts/temp` by `/` keeping `/` in the result
def f_9743134():
	return """Docs/src/Scripts/temp""".replace('/', '/\x00/').split('\x00')

def check(candidate):
    assert candidate() == ['Docs/', '/src/', '/Scripts/', '/temp']


    assert candidate() != ['Docs', 'src', 'Scripts', 'temp']
# shuffle columns of an numpy array 'r'
def f_20546419(r):
	return np.random.shuffle(np.transpose(r))

import numpy as np

def check(candidate):
    a1 = np.array([[ 1, 20], [ 2, 30]])
    candidate(a1)
    assert np.array_equal(a1, np.array([[ 1, 20],[ 2, 30]])) or np.array_equal(a1, np.array([[ 20, 1], [ 30, 2]]))


    a2 = np.array([[ 1], [ 2]])
    candidate(a2)                       
    assert np.array_equal(a2,np.array([[ 1], [ 2]]) )


    a3 = np.array([[ 1,2,3]])
    candidate(a3)
    assert np.array_equal(a3,np.array([[ 1,2,3]])) or np.array_equal(a3,np.array([[ 2,1,3]]))           or np.array_equal(a3,np.array([[ 1,3,2]]))            or np.array_equal(a3,np.array([[3,2,1]])) or np.array_equal(a3,np.array([[3,1,2]]))            or np.array_equal(a3,np.array([[2,3,1]])) 


    a4 = np.zeros(shape=(5,2))
    candidate(a4)
    assert np.array_equal(a4, np.zeros(shape=(5,2)))
# copy all values in a column 'B' to a new column 'D' in a pandas data frame 'df'
def f_32675861(df):
	df['D'] = df['B']
	return df

import pandas as pd

def check(candidate):
    df_1 = pd.DataFrame({'A': [1,2,3], 'B': ['a', 'b', 'c']})
    candidate(df_1)
    assert (df_1['D'] == df_1['B']).all()


    df_2 = pd.DataFrame({'A': [1,2,3], 'B': [1, 'A', 'B']})
    candidate(df_2)
    assert (df_2['D'] == df_2['B']).all()


    df_3 = pd.DataFrame({'B': [1]})
    candidate(df_3)
    assert df_3['D'][0] == 1


    df_4 = pd.DataFrame({'B': []})
    candidate(df_4)
    assert len(df_4['D']) == 0
# find a value within nested json 'data' where the key inside another key 'B' is unknown.
def f_14227561(data):
	return list(data['A']['B'].values())[0]['maindata'][0]['Info']

import json

def check(candidate):
    s1 = '{"A":{"B":{"unknown":{"1":"F","maindata":[{"Info":"TEXT"}]}}}}'
    data = json.loads(s1)
    assert candidate(data) == 'TEXT'


    s2 = '{"A":{"B":{"sample1":{"1":"F","maindata":[{"Info":"TEXT!"}]}}}}'
    data = json.loads(s2)
    assert candidate(data) == 'TEXT!'


    s3 = '{"A":{"B":{"sample_weird_un":{"1":"F","maindata":[{"Info":"!"}]}}}}'
    data = json.loads(s3)
    assert candidate(data) == '!'


    s4 = '{"A":{"B":{"sample_weird_un":{"1":"F","maindata":[{"Info":""}]}}}}'
    data = json.loads(s4)
    assert candidate(data) == ''
# check characters of string `string` are true predication of function `predicate`
def f_14858916(string, predicate):
	return all(predicate(x) for x in string)

def check(candidate):
    def predicate(x):
        if x == 'a':
            return True
        else:
            return False
    assert candidate('aab', predicate) == False


    def predicate(x):
        if x == 'a':
            return True
        else:
            return False
    assert candidate('aa', predicate) == True


    def predicate(x):
        if x == 'a':
            return True
        else:
            return False
    assert candidate('', predicate) == True


    def predicate(x):
        if x.islower():
            return True
        else:
            return False
    assert candidate('abc', predicate) == True


    def predicate(x):
        if x.islower():
            return True
        else:
            return False
    assert candidate('Ab', predicate) == False


    def predicate(x):
        if x.islower():
            return True
        else:
            return False
    assert candidate('ABCD', predicate) == False
# convert string `user_input` into a list of integers `user_list`
def f_6378889(user_input):
	user_list = [int(number) for number in user_input.split(',')]
	return user_list

def check(candidate):
    assert candidate('0') == [0]


    assert candidate('12') == [12]


    assert candidate('12,33,223') == [12, 33, 223]
# Get a list of integers by splitting  a string `user` with comma
def f_6378889(user):
	return [int(s) for s in user.split(',')]

def check(candidate):
    assert candidate('0') == [0]


    assert candidate('12') == [12]


    assert candidate('12,33,223') == [12, 33, 223]
# sort a list of objects `ut`, based on a function `cmpfun` in descending order
def f_403421(ut, cmpfun):
	ut.sort(key=cmpfun, reverse=True)
	return ut

def check(candidate):
    assert candidate([], lambda x: x) == []


    assert candidate(['a', 'b', 'c'], lambda x: x) == ['c', 'b', 'a']


    assert candidate([2, 1, 3], lambda x: -x) == [1, 2, 3]
# cast an int `i` to a string and concat to string 'ME'
def f_3944876(i):
	return 'ME' + str(i)

def check(candidate):
    assert candidate(100) == "ME100"


    assert candidate(0.22) == "ME0.22"


    assert candidate("text") == "MEtext"
# Sorting data in Pandas DataFrame `df` with columns 'System_num' and 'Dis'
def f_40903174(df):
	return df.sort_values(['System_num', 'Dis'])

import pandas as pd 

def check(candidate):
    df1 = pd.DataFrame([[6, 1, 1], [5, 1, 1], [4, 1, 1], [3, 2, 1], [2, 2, 1], [1, 2, 1]], columns = ['Dis', 'System_num', 'Energy'])
    df_ans1 = pd.DataFrame([[4, 1, 1], [5, 1, 1], [6, 1, 1], [1, 2, 1], [2, 2, 1], [3, 2, 1]], columns = ['Dis', 'System_num', 'Energy'])
    assert (df_ans1.equals(candidate(df1).reset_index(drop = True))) == True


    df2 = pd.DataFrame([[6, 3, 1], [5, 2, 1], [4, 1, 1]], columns = ['Dis', 'System_num', 'Energy'])
    df_ans2 = pd.DataFrame([[4, 1, 1], [5, 2, 1], [6, 3, 1]], columns = ['Dis', 'System_num', 'Energy'])
    assert (df_ans2.equals(candidate(df2).reset_index(drop = True))) == True


    df3 = pd.DataFrame([[1, 3, 1], [3, 3, 1], [2, 3, 1], [6, 1, 1], [4, 1, 1], [5, 2, 1], [3, 2, 1]], columns = ['Dis', 'System_num', 'Energy'])
    df_ans3 = pd.DataFrame([[4, 1,1], [6, 1, 1], [3, 2, 1], [5, 2, 1], [1, 3, 1], [2, 3, 1], [3, 3, 1]], columns = ['Dis', 'System_num', 'Energy'])
    assert (df_ans3.equals(candidate(df3).reset_index(drop = True))) == True 


    df4 = pd.DataFrame([[1, 2, 3], [1, 2, 3], [4, 1, 3]], columns = ['Dis', 'System_num', 'Energy'])
    df_ans4 = pd.DataFrame([[1, 2, 3], [1, 2, 3], [4, 1, 3]])
    assert (df_ans4.equals(candidate(df4).reset_index(drop = True))) == False
# prepend the line '#test firstline\n' to the contents of file 'infile' and save as the file 'outfile'
def f_4454298(infile, outfile):
	open(outfile, 'w').write('#test firstline\n' + open(infile).read())
	return 

import filecmp

def check(candidate): 
    open('test1.txt', 'w').write('test1')
    candidate('test1.txt', 'test1_out.txt')
    open('test1_ans.txt', 'w').write('#test firstline\ntest1')
    assert filecmp.cmp('test1_out.txt', 'test1_ans.txt') == True


    open('test2.txt', 'w').write('\ntest2\n')
    candidate('test2.txt', 'test2_out.txt')
    open('test2_ans.txt', 'w').write('#test firstline\n\ntest2\n')
    assert filecmp.cmp('test2_out.txt', 'test2_ans.txt') == True


    open('test3.txt', 'w').write(' \n \n')
    candidate('test3.txt', 'test3_out.txt')
    open('test3_ans.txt', 'w').write('#test firstline\n \n \n')
    assert filecmp.cmp('test3_out.txt', 'test3_ans.txt') == True


    open('test4.txt', 'w').write('hello')
    candidate('test4.txt', 'test4_out.txt')
    open('test4_ans.txt', 'w').write('hello')
    assert filecmp.cmp('test4_out.txt', 'test4_ans.txt') == False
# sort a list `l` by length of value in tuple
def f_19729928(l):
	l.sort(key=lambda t: len(t[1]), reverse=True)
	return l

def check(candidate): 
    assert candidate([("a", [1]), ("b", [1,2]), ("c", [1,2,3])]) ==         [("c", [1,2,3]), ("b", [1,2]), ("a", [1])]


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


    assert candidate([("a", [1]), ("b", [2]), ("c", [3])]) ==         [("a", [1]), ("b", [2]), ("c", [3])]
# split string `s` by words that ends with 'd'
def f_31371879(s):
	return re.findall('\\b(\\w+)d\\b', s)

import re

def check(candidate): 
    assert candidate("this is good") == ["goo"]


    assert candidate("this is interesting") == []


    assert candidate("good bad dd") == ["goo", "ba", "d"]
# Removing duplicates in list `t`
def f_7961363(t):
	return list(set(t))

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


    assert candidate([1,1,1,1,1,1,1,1,1,1]) == [1] 


    assert candidate([1,2,2,2,2,2,3,3,3,3,3]) == [1,2,3]


    assert (candidate([1, '1']) == [1, '1']) or (candidate([1, '1']) == ['1', 1])


    assert candidate([1.0, 1]) == [1.0] 


    assert candidate([]) == [] 


    assert candidate([None]) == [None]
# Removing duplicates in list `source_list`
def f_7961363(source_list):
	return list(set(source_list))

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


    assert candidate([1,1,1,1,1,1,1,1,1,1]) == [1] 


    assert candidate([1,2,2,2,2,2,3,3,3,3,3]) == [1,2,3]


    assert (candidate([1, '1']) == [1, '1']) or (candidate([1, '1']) == ['1', 1])


    assert candidate([1.0, 1]) == [1.0] 


    assert candidate([]) == [] 


    assert candidate([None]) == [None]
# Convert array `a` into a list
def f_5183533(a):
	return numpy.array(a).reshape(-1).tolist()

import numpy

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


    assert candidate(['a', 'aa', 'abc']) == ['a', 'aa', 'abc']
# Convert the first row of numpy matrix `a` to a list
def f_5183533(a):
	return numpy.array(a)[0].tolist()

import numpy

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


    assert candidate(['a', 'aa', 'abc']) == 'a'
# In `soup`, get the content of the sibling of the `td`  tag with text content `Address:`
def f_5999747(soup):
	return soup.find(text='Address:').findNext('td').contents[0]

from bs4 import BeautifulSoup

def check(candidate):
    assert candidate(BeautifulSoup("<td><b>Address:</b></td><td>My home address</td>")) == "My home address"


    assert candidate(BeautifulSoup("<td><b>Address:</b></td><td>This is my home address</td><td>Not my home address</td>")) == "This is my home address"


    assert candidate(BeautifulSoup("<td><b>Address:</b></td><td>My home address<li>My home address in a list</li></td>")) == "My home address"
# convert elements of each tuple in list `l` into a string  separated by character `@`
def f_4284648(l):
	return """ """.join([('%d@%d' % t) for t in l])

def check(candidate):
    assert candidate([(1, 2), (3, 4)]) == "1@2 3@4"


    assert candidate([(10, 11), (12, 13)]) == "10@11 12@13"


    assert candidate([(10.2, 11.4), (12.14, 13.13)]) == "10@11 12@13"
# convert each tuple in list `l` to a string with '@' separating the tuples' elements
def f_4284648(l):
	return """ """.join([('%d@%d' % (t[0], t[1])) for t in l])

def check(candidate):
    assert candidate([(1, 2), (3, 4)]) == "1@2 3@4"


    assert candidate([(10, 11), (12, 13)]) == "10@11 12@13"


    assert candidate([(10.2, 11.4), (12.14, 13.13)]) == "10@11 12@13"
# Get all matches with regex pattern `\\d+[xX]` in list of string `teststr`
def f_29696641(teststr):
	return [i for i in teststr if re.search('\\d+[xX]', i)]

import re

def check(candidate):
    assert candidate(['1 FirstString', '2x Sec String', '3rd String', 'x forString', '5X fifth']) == ['2x Sec String', '5X fifth']


    assert candidate(['1x', '2', '3X', '4x random', '5X random']) == ['1x', '3X', '4x random', '5X random']


    assert candidate(['1x', '2', '3X', '4xrandom', '5Xrandom']) == ['1x', '3X', '4xrandom', '5Xrandom']
# select values from column 'A' for which corresponding values in column 'B' will be greater than 50, and in column 'C' - equal 900 in dataframe `df`
def f_15315452(df):
	return df['A'][(df['B'] > 50) & (df['C'] == 900)]

import pandas as pd

def check(candidate):
    df = pd.DataFrame({'A': [7, 7, 4, 4, 7, 7, 3, 9, 6, 3], 'B': [20, 80, 90, 30, 80, 60, 80, 40, 40 ,10], 'C': [300, 700, 100, 900, 200, 800, 900, 100, 100, 600]})
    assert candidate(df).to_dict() == {6: 3}


    df1 = pd.DataFrame({'A': [9, 9, 5, 8, 7, 9, 2, 2, 5, 7], 'B': [40, 70, 70, 80, 50, 30, 80, 80, 80, 70], 'C': [300, 700, 900, 900, 200, 900, 700, 400, 300, 800]})
    assert candidate(df1).to_dict() == {2: 5, 3: 8}


    df2 = pd.DataFrame({'A': [3, 4, 5, 6], 'B': [-10, 50, 20, 10], 'C': [900, 800, 900, 900]})
    assert candidate(df2).to_dict() == {}
# Sort dictionary `o` in ascending order based on its keys and items
def f_4642501(o):
	return sorted(o.items())

import pandas as pd

def check(candidate):
    assert candidate({1:"abc", 5:"klm", 2:"pqr"}) == [(1, "abc"), (2, "pqr"), (5, "klm")]


    assert candidate({4.221:"uwv", -1.009:"pow"}) == [(-1.009, 'pow'), (4.221, 'uwv')]


    assert candidate({"as2q":"piqr", "#wwq":"say", "Rwc":"koala", "35":"kangaroo"}) == [('#wwq', 'say'), ('35', 'kangaroo'), ('Rwc', 'koala'), ('as2q', 'piqr')]
# get sorted list of keys of dict `d`
def f_4642501(d):
	return sorted(d)

def check(candidate):
    assert candidate({1:"abc", 5:"klm", 2:"pqr"}) == [1, 2, 5]


    assert candidate({4.221:"uwv", -1.009:"pow"}) == [-1.009, 4.221]


    assert candidate({"as2q":"piqr", "#wwq":"say", "Rwc":"koala", "35":"kangaroo"}) == ['#wwq', '35', 'Rwc', 'as2q']
# convert string "1" into integer
def f_642154():
	return int('1')

def check(candidate):
    assert candidate() == 1


    assert candidate() + 1 == 2
# 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']
# 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
# 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})) == []
# 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"
# 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") == []
# 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"]
# 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) == []