KrossKinetic/odex-en huggingface dataset:
# 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
# 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]
# 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
# 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]
# 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"]
# filter dataframe `df` by values in column `A` that appear more than once
def f_29836836(df):
	return df.groupby('A').filter(lambda x: len(x) > 1)

import pandas as pd

def check(candidate):
    assert candidate(pd.DataFrame([[1, 2], [1, 4], [5, 6]], columns=['A', 'B'])).equals(pd.DataFrame([[1, 2], [1, 4]], columns=['A', 'B'])) is True


    assert candidate(pd.DataFrame([[1, 2], [1, 4], [1, 6]], columns=['A', 'B'])).equals(pd.DataFrame([[1, 2], [1, 4], [1, 6]], columns=['A', 'B'])) is True
# Get a new list `list2`by removing empty list from a list of lists `list1`
def f_4842956(list1):
	list2 = [x for x in list1 if x != []]
	return list2

def check(candidate):
    assert candidate([["a"], [], ["b"]]) == [["a"], ["b"]]


    assert candidate([[], [1,2,3], [], ["b"]]) == [[1,2,3], ["b"]]
# Create `list2` to contain the lists from list `list1` excluding the empty lists from `list1`
def f_4842956(list1):
	list2 = [x for x in list1 if x]
	return list2

def check(candidate):
    assert candidate([["a"], [], ["b"]]) == [["a"], ["b"]]


    assert candidate([[], [1,2,3], [], ["b"]]) == [[1,2,3], ["b"]]
# Django response with JSON `data`
def f_9262278(data):
	return HttpResponse(data, content_type='application/json')

import os
import json
from django.http import HttpResponse
from django.conf import settings
if not settings.configured:
    settings.configure(DEBUG=True)

def check(candidate):
    if settings.DEBUG:
        assert candidate(json.dumps({"Sample-Key": "Sample-Value"})).content == b'{"Sample-Key": "Sample-Value"}'


    if settings.DEBUG:
        assert candidate(json.dumps({"Sample-Key": "Sample-Value"}))['content-type'] == 'application/json'
# formate each string cin list `elements` into pattern '%{0}%'
def f_7126916(elements):
	elements = ['%{0}%'.format(element) for element in elements]
	return elements

def check(candidate): 
    elements = ['abc', 'def', 'ijk', 'mno']
    assert candidate(elements) == ['%abc%', '%def%', '%ijk%', '%mno%']


    elements = [1, 2, 3, 4, 500]
    assert candidate(elements) == ['%1%', '%2%', '%3%', '%4%', '%500%']
# get list of values from dictionary 'mydict' w.r.t. list of keys 'mykeys'
def f_18453566(mydict, mykeys):
	return [mydict[x] for x in mykeys]

def check(candidate):
    mydict = {'one': 1, 'two': 2, 'three': 3}
    mykeys = ['three', 'one']
    assert candidate(mydict, mykeys) == [3, 1]


    mydict = {'one': 1.0, 'two': 2.0, 'three': 3.0}
    mykeys = ['one']
    assert candidate(mydict, mykeys) == [1.0]
# check if object `obj` is a string
def f_1303243(obj):
	return isinstance(obj, str)

def check(candidate):
    assert candidate('python3') == True


    assert candidate(1.23) == False
# check if object `o` is a string
def f_1303243(o):
	return isinstance(o, str)

def check(candidate):
    assert candidate("hello") == True


    assert candidate(123) == False


    assert candidate([]) == False


    assert candidate({"aa", "v"}) == False


    assert candidate("123") == True
# check if object `o` is a string
def f_1303243(o):
	return (type(o) is str)

def check(candidate):
    assert candidate("hello") == True


    assert candidate(123) == False


    assert candidate([]) == False


    assert candidate({"aa", "v"}) == False


    assert candidate("123") == True
# check if `obj_to_test` is a string
def f_1303243(obj_to_test):
	return isinstance(obj_to_test, str)

def check(candidate):
    assert candidate("hello") == True


    assert candidate(123) == False


    assert candidate([]) == False


    assert candidate({"aa", "v"}) == False


    assert candidate("123") == True
# append list `list1` to `list2`
def f_8177079(list1, list2):
	list2.extend(list1)
	return 

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


    a, c = [1, 2, 3], [7, 8, 9]
    candidate(a, c)
    assert c == [7, 8, 9, 1, 2, 3] 


    b = [4, 5, 6, 1, 2, 3]
    c = [7, 8, 9, 1, 2, 3] 
    candidate(b, c)
    assert c == [7, 8, 9, 1, 2, 3, 4, 5, 6, 1, 2, 3]
# append list `mylog` to `list1`
def f_8177079(mylog, list1):
	list1.extend(mylog)
	return 

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


    a, c = [1, 2, 3], [7, 8, 9]
    candidate(a, c)
    assert c == [7, 8, 9, 1, 2, 3] 


    b = [4, 5, 6, 1, 2, 3]
    c = [7, 8, 9, 1, 2, 3] 
    candidate(b, c)
    assert c == [7, 8, 9, 1, 2, 3, 4, 5, 6, 1, 2, 3]
# append list `a` to `c`
def f_8177079(a, c):
	c.extend(a)
	return 

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


    a, c = [1, 2, 3], [7, 8, 9]
    candidate(a, c)
    assert c == [7, 8, 9, 1, 2, 3] 


    b = [4, 5, 6, 1, 2, 3]
    c = [7, 8, 9, 1, 2, 3] 
    candidate(b, c)
    assert c == [7, 8, 9, 1, 2, 3, 4, 5, 6, 1, 2, 3]
# append items in list `mylog` to `list1`
def f_8177079(mylog, list1):
	for line in mylog:
	    list1.append(line)
	return 

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


    a, c = [1, 2, 3], [7, 8, 9]
    candidate(a, c)
    assert c == [7, 8, 9, 1, 2, 3] 


    b = [4, 5, 6, 1, 2, 3]
    c = [7, 8, 9, 1, 2, 3] 
    candidate(b, c)
    assert c == [7, 8, 9, 1, 2, 3, 4, 5, 6, 1, 2, 3]
# find the index of an element 'MSFT' in a list `stocks_list`
def f_1762484(stocks_list):
	return [x for x in range(len(stocks_list)) if stocks_list[x] == 'MSFT']

def check(candidate):
    stocks_list = ['AAPL', 'MSFT', 'GOOG', 'MSFT', 'MSFT']
    assert(candidate(stocks_list) == [1,3,4])


    stocks_list = ['AAPL', 'MSXT', 'GOOG', 'MSAT', 'SFT']
    assert(candidate(stocks_list) == [])
# split string `input` based on occurrences of regex pattern '[ ](?=[A-Z]+\\b)'
def f_13209288(input):
	return re.split(r'[ ](?=[A-Z]+\b)', input)

import re

def check(candidate):
    assert candidate('HELLO there HOW are YOU') == ['HELLO there', 'HOW are', 'YOU']


    assert candidate('hELLO there HoW are YOU') == ['hELLO there HoW are', 'YOU']


    assert candidate('7 is a NUMBER') == ['7 is a', 'NUMBER']


    assert candidate('NUMBER 7') == ['NUMBER 7']
# Split string `input` at every space followed by an upper-case letter
def f_13209288(input):
	return re.split('[ ](?=[A-Z])', input)

import re

def check(candidate):
    assert candidate('HELLO there HOW are YOU') == ['HELLO there', 'HOW are', 'YOU']


    assert candidate('hELLO there HoW are YOU') == ['hELLO there', 'HoW are', 'YOU']


    assert candidate('7 is a NUMBER') == ['7 is a', 'NUMBER']


    assert candidate('NUMBER 7') == ['NUMBER 7']
# get a list from a list `lst` with values mapped into a dictionary `dct`
def f_33078554(lst, dct):
	return [dct[k] for k in lst]

def check(candidate):
    assert candidate(['c', 'd', 'a', 'b', 'd'], {'a': '3', 'b': '3', 'c': '5', 'd': '3'}) == ['5', '3', '3', '3', '3'] 


    assert candidate(['c', 'd', 'a', 'b', 'd'], {'a': 3, 'b': 3, 'c': 5, 'd': 3}) == [5, 3, 3, 3, 3] 


    assert candidate(['c', 'd', 'a', 'b'], {'a': 3, 'b': 3, 'c': 5, 'd': 3}) == [5, 3, 3, 3]
# find duplicate names in column 'name' of the dataframe `x`
def f_15247628(x):
	return x['name'][x.duplicated('name')]

import pandas as pd 

def check(candidate): 
    assert candidate(pd.DataFrame([{'name': 'willy', 'age': 10}, {'name': 'wilson', 'age': 11}, {'name': 'zoe', 'age': 10}])).tolist() == [] 


    assert candidate(pd.DataFrame([{'name': 'willy', 'age': 10}, {'name': 'willy', 'age': 11}, {'name': 'zoe', 'age': 10}])).tolist() == ['willy'] 


    assert candidate(pd.DataFrame([{'name': 'willy', 'age': 11}, {'name': 'willy', 'age': 11}, {'name': 'zoe', 'age': 10}])).tolist() == ['willy'] 


    assert candidate(pd.DataFrame([{'name': 'Willy', 'age': 11}, {'name': 'willy', 'age': 11}, {'name': 'zoe', 'age': 10}])).tolist() == []
# sort list `li` in descending order based on the date value in second element of each list in list `li`
def f_22859493(li):
	return sorted(li, key=lambda x: datetime.strptime(x[1], '%d/%m/%Y'), reverse=True)

from datetime import datetime

def check(candidate): 
    assert candidate([['name', '01/03/2012', 'job'], ['name', '02/05/2013', 'job'], ['name', '03/08/2014', 'job']]) == [['name', '03/08/2014', 'job'], ['name', '02/05/2013', 'job'], ['name', '01/03/2012', 'job']] 


    assert candidate([['name', '01/03/2012', 'job'], ['name', '02/05/2012', 'job'], ['name', '03/08/2012', 'job']]) == [['name', '03/08/2012', 'job'], ['name', '02/05/2012', 'job'], ['name', '01/03/2012', 'job']] 


    assert candidate([['name', '01/03/2012', 'job'], ['name', '02/03/2012', 'job'], ['name', '03/03/2012', 'job']]) == [['name', '03/03/2012', 'job'], ['name', '02/03/2012', 'job'], ['name', '01/03/2012', 'job']] 


    assert candidate([['name', '03/03/2012', 'job'], ['name', '03/03/2012', 'job'], ['name', '03/03/2012', 'job']]) == [['name', '03/03/2012', 'job'], ['name', '03/03/2012', 'job'], ['name', '03/03/2012', 'job']]
# check if path `my_path` is an absolute path
def f_3320406(my_path):
	return os.path.isabs(my_path)

import os

def check(candidate): 
    assert candidate('.') == False 


    assert candidate('/') == True 


    assert candidate('/usr') == True
# get number of keys in dictionary `yourdict`
def f_2212433(yourdict):
	return len(list(yourdict.keys()))

def check(candidate): 
    assert candidate({'a': 1, 'b': 2, 'c': 3}) == 3 


    assert candidate({'a': 2, 'c': 3}) == 2
# split a list in first column into multiple columns keeping other columns as well in pandas data frame `df`
def f_40924332(df):
	return pd.concat([df[0].apply(pd.Series), df[1]], axis=1)

import numpy as np
import pandas as pd 

def check(callerFunction):
    assert callerFunction(pd.DataFrame([[[8, 10, 12], 'A'], [[7, 9, 11], 'B']])).equals(pd.DataFrame([[8,10,12,'A'], [7,9,11,'B']], columns=[0,1,2,1]))


    assert callerFunction(pd.DataFrame([[[8, 10, 12], 'A'], [[7, 11], 'B']])).equals(pd.DataFrame([[8.0,10.0,12.0,'A'], [7.0,11.0,np.nan,'B']], columns=[0,1,2,1]))


    assert callerFunction(pd.DataFrame([[[8, 10, 12]], [[7, 9, 11], 'B']])).equals(pd.DataFrame([[8,10,12,None], [7,9,11,'B']], columns=[0,1,2,1]))
# Get the length of list `my_list`
def f_518021(my_list):
	return len(my_list)

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


    assert candidate([1]) == 1


    assert candidate([1, 2]) == 2
# Getting the length of array `l`
def f_518021(l):
	return len(l)

import numpy as np 

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


    assert candidate(np.array([1])) == 1


    assert candidate(np.array([1, 2])) == 2
# Getting the length of array `s`
def f_518021(s):
	return len(s)

import numpy as np 

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


    assert candidate(np.array([1])) == 1


    assert candidate(np.array([1, 2])) == 2
# Getting the length of `my_tuple`
def f_518021(my_tuple):
	return len(my_tuple)

def check(candidate):
    assert candidate(()) == 0


    assert candidate(('aa', 'wfseg', '')) == 3


    assert candidate(('apple',)) == 1
# Getting the length of `my_string`
def f_518021(my_string):
	return len(my_string)

def check(candidate):
    assert candidate("sedfgbdjofgljnh") == 15


    assert candidate("             ") == 13


    assert candidate("vsdh4'cdf'") == 10
# reverse sort Counter `x` by values
def f_20950650(x):
	return sorted(x, key=x.get, reverse=True)

from collections import Counter

def check(candidate):
    x = Counter({'blue': 1, 'red': 2, 'green': 3})
    assert candidate(x) == ['green', 'red', 'blue']


    x = Counter({'blue': 1.234, 'red': 1.35, 'green': 1.789})
    assert candidate(x) == ['green', 'red', 'blue']


    x = Counter({'blue': "b", 'red': "r", 'green': "g"})
    assert candidate(x) == ['red', 'green', 'blue']
# reverse sort counter `x` by value
def f_20950650(x):
	return sorted(list(x.items()), key=lambda pair: pair[1], reverse=True)

from collections import Counter

def check(candidate):
    x = Counter({'blue': 1, 'red': 2, 'green': 3})
    assert candidate(x) == [('green', 3), ('red', 2), ('blue', 1)]


    x = Counter({'blue': 1.234, 'red': 1.35, 'green': 1.789})
    assert candidate(x) == [('green', 1.789), ('red', 1.35), ('blue', 1.234)]


    x = Counter({'blue': "b", 'red': "r", 'green': "g"})
    assert candidate(x) == [('red', "r"), ('green', "g"), ('blue', "b")]
# append a numpy array 'b' to a numpy array 'a'
def f_9775297(a, b):
	return np.vstack((a, b))

import numpy as np

def check(candidate):
    a = np.array([[1, 2, 3], [4, 5, 6]])
    b = np.array([[9, 8, 7], [6, 5, 4]])
    assert np.array_equal(candidate(a, b), np.array([[1, 2, 3], [4, 5, 6], [9, 8, 7], [6, 5, 4]]))


    a = np.array([[1, 2.45, 3], [4, 0.55, 612]])
    b = np.array([[988, 8, 7], [6, 512, 4]])
    assert np.array_equal(candidate(a, b), np.array([[1, 2.45, 3], [4, 0.55, 612], [988, 8, 7], [6, 512, 4]]))
# numpy concatenate two arrays `a` and `b` along the first axis
def f_21887754(a, b):
	return np.concatenate((a, b), axis=0)

import numpy as np

def check(candidate):
    a = np.array([[1, 5, 9], [2, 6, 10]])
    b = np.array([[3, 7, 11], [4, 8, 12]])
    assert np.array_equal(candidate(a, b), np.array([[1, 5, 9], [2, 6, 10], [3, 7, 11], [4, 8, 12]]))


    a = np.array([[1, 2.45, 3], [4, 0.55, 612]])
    b = np.array([[988, 8, 7], [6, 512, 4]])
    assert np.array_equal(candidate(a, b), np.array([[1, 2.45, 3], [4, 0.55, 612], [988, 8, 7], [6, 512, 4]]))
# numpy concatenate two arrays `a` and `b` along the second axis
def f_21887754(a, b):
	return np.concatenate((a, b), axis=1)

import numpy as np

def check(candidate):
    a = np.array([[1, 5, 9], [2, 6, 10]])
    b = np.array([[3, 7, 11], [4, 8, 12]])
    assert np.array_equal(candidate(a, b), np.array([[1, 5, 9, 3, 7, 11], [2, 6, 10, 4, 8, 12]]))


    a = np.array([[1, 2.45, 3], [4, 0.55, 612]])
    b = np.array([[988, 8, 7], [6, 512, 4]])
    assert np.array_equal(candidate(a, b), np.array([[1, 2.45, 3, 988, 8, 7], [4, 0.55, 612, 6, 512, 4]]))
# numpy concatenate two arrays `a` and `b` along the first axis
def f_21887754(a, b):
	return np.r_[(a[None, :], b[None, :])]

import numpy as np

def check(candidate):
    a = np.array([[1, 5, 9], [2, 6, 10]])
    b = np.array([[3, 7, 11], [4, 8, 12]])
    assert np.array_equal(candidate(a, b), np.array([[[1, 5, 9], [2, 6, 10]], [[3, 7, 11], [4, 8, 12]]]))


    a = np.array([[1, 2.45, 3], [4, 0.55, 612]])
    b = np.array([[988, 8, 7], [6, 512, 4]])
    assert np.array_equal(candidate(a, b), np.array([[[1, 2.45, 3], [4, 0.55, 612]], [[988, 8 , 7], [6, 512, 4]]]))
# numpy concatenate two arrays `a` and `b` along the first axis
def f_21887754(a, b):
	return np.array((a, b))

import numpy as np

def check(candidate):
    a = np.array([[1, 5, 9], [2, 6, 10]])
    b = np.array([[3, 7, 11], [4, 8, 12]])
    assert np.array_equal(candidate(a, b), np.array([[[1, 5, 9], [2, 6, 10]], [[3, 7, 11], [4, 8, 12]]]))


    a = np.array([[1, 2.45, 3], [4, 0.55, 612]])
    b = np.array([[988, 8, 7], [6, 512, 4]])
    assert np.array_equal(candidate(a, b), np.array([[[1, 2.45, 3], [4, 0.55, 612]], [[988, 8 , 7], [6, 512, 4]]]))
# sort a list of lists 'c2' such that third row comes first
def f_3398589(c2):
	c2.sort(key=lambda row: row[2])
	return c2

def check(candidate):
    c2 = [[14, 25, 46], [1, 22, 53], [7, 8, 9]]
    candidate(c2)
    assert c2[0] == [7,8,9]


    c2 = [[14.343, 25.24, 46], [1, 22, 53.45], [7, 8.65, 9]]
    candidate(c2)
    assert c2[0] == [7,8.65,9]
# sort a list of lists 'c2' in reversed row order
def f_3398589(c2):
	c2.sort(key=lambda row: (row[2], row[1], row[0]))
	return c2

def check(candidate):
    c2 = [[14, 25, 46], [1, 22, 53], [7, 8, 9]]
    candidate(c2)
    assert c2[0] == [7,8,9]


    c2 = [[14.343, 25.24, 46], [1, 22, 53.45], [7, 8.65, 9]]
    candidate(c2)
    assert c2[0] == [7,8.65,9]
# Sorting a list of lists `c2`, each by the third and second row
def f_3398589(c2):
	c2.sort(key=lambda row: (row[2], row[1]))
	return c2

def check(candidate):
    c2 = [[14, 25, 46], [1, 22, 53], [7, 8, 9]]
    candidate(c2)
    assert c2[0] == [7,8,9]


    c2 = [[14.343, 25.24, 46], [1, 22, 53.45], [7, 8.65, 9]]
    candidate(c2)
    assert c2[0] == [7,8.65,9]
# Convert  DateTime column 'date' of pandas dataframe 'df' to ordinal
def f_20576618(df):
	return df['date'].apply(lambda x: x.toordinal())

import pandas as pd

def check(candidate):
    df = pd.DataFrame(
        {
            "group": ["A", "A", "A", "A", "A"],
            "date": pd.to_datetime(["2020-01-02", "2020-01-13", "2020-02-01", "2020-02-23", "2020-03-05"]),
            "value": [10, 20, 16, 31, 56],
        })    
    data_series = candidate(df).tolist()
    assert data_series[1] == 737437


    df = pd.DataFrame(
        {
            "group": ["A", "A", "A", "A", "A"],
            "date": pd.to_datetime(["2020-01-02", "2020-01-13", "2020-02-01", "2020-02-23", "2020-03-05"]),
            "value": [10, 20, 16, 31, 56],
        })    
    data_series = candidate(df).tolist()
    assert data_series[1] == 737437
# add an item with key 'third_key' and value 1 to an dictionary `my_dict`
def f_10487278(my_dict):
	my_dict.update({'third_key': 1})
	return my_dict

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


    my_dict = {'c':1, 'd':2}
    assert candidate(my_dict) == {'c':1, 'd':2, 'third_key': 1}
# Insert item `12` to a list `my_list`
def f_10487278(my_list):
	my_list.append(12)
	return my_list

def check(candidate):
    assert candidate([1,2]) == [1, 2, 12] 


    assert candidate([5,6]) == [5, 6, 12]
# add an entry 'wuggah' at the beginning of list `myList`
def f_10155684(myList):
	myList.insert(0, 'wuggah')
	return myList

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


    assert candidate([]) == ['wuggah']
# select the last column of dataframe `df`
def f_40144769(df):
	return df[df.columns[-1]]

import pandas as pd 

def check(candidate):
    df = pd.DataFrame([[1, 2, 3],[4,5,6]], columns=["a", "b", "c"])
    assert candidate(df).tolist() == [3,6]


    df = pd.DataFrame([["Hello", "world!"],["Hi", "world!"]], columns=["a", "b"])
    assert candidate(df).tolist() == ["world!", "world!"]
# get the first value from dataframe `df` where column 'Letters' is equal to 'C'
def f_30787901(df):
	return df.loc[df['Letters'] == 'C', 'Letters'].values[0]

import pandas as pd 

def check(candidate):
    df = pd.DataFrame([["a", 1],["C", 6]], columns=["Letters", "Numbers"])
    assert candidate(df) == 'C'


    df = pd.DataFrame([[None, 1],["C", 789]], columns=["Letters", "Names"])
    assert candidate(df) == 'C'
# get the type of `i`
def f_402504(i):
	return type(i)

def check(candidate):
    assert candidate("hello") is str


    assert candidate(123) is int


    assert candidate("123") is str


    assert candidate(123.4) is float
# determine the type of variable `v`
def f_402504(v):
	return type(v)

def check(candidate):
    assert candidate("hello") is str


    assert candidate(123) is int


    assert candidate("123") is str


    assert candidate(123.4) is float
# get the type of variable `variable_name`
def f_402504(variable_name):
	return type(variable_name)

def check(candidate):
    assert candidate("hello") is str


    assert candidate(123) is int


    assert candidate("123") is str


    assert candidate(123.4) is float
# converting list of strings `intstringlist` to list of integer `nums`
def f_10351772(intstringlist):
	nums = [int(x) for x in intstringlist]
	return nums

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


    assert candidate(['001', '200', '3', '4', '5']) == [1, 200, 3, 4, 5]
# Sum the corresponding decimal values for binary values of each boolean element in list `x`
def f_4065737(x):
	return sum(1 << i for i, b in enumerate(x) if b)

def check(candidate):
    assert candidate([1,2,3]) == 7


    assert candidate([1,2,None,3,None]) == 11