neulab/odex huggingface dataset:
# 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
# remove escape character from string "\\a"
def f_40452956():
	return b'\\a'.decode('unicode-escape')

def check(candidate):
    assert candidate() == '\x07'
# replace each 'a' with 'b' and each 'b' with 'a' in the string 'obama' in a single pass.
def f_8687018():
	return """obama""".replace('a', '%temp%').replace('b', 'a').replace('%temp%', 'b')

def check(candidate):
    assert candidate() == 'oabmb'
# remove directory tree '/folder_name'
def f_303200():
	shutil.rmtree('/folder_name')
	return 

import os
import shutil
from unittest.mock import Mock

def check(candidate):
    shutil.rmtree = Mock()
    os.walk = Mock(return_value = [])
    candidate()
    assert os.walk('/') == []
# create a new column `weekday` in pandas data frame `data` based on the values in column `my_dt`
def f_13740672(data):
	
    def weekday(i):
        if i >=1 and i <= 5: return True
        else: return False
    data['weekday'] = data['my_dt'].apply(lambda x: weekday(x))

	return data

import pandas as pd

def check(candidate):
    data = pd.DataFrame([1, 2, 3, 4, 5, 6, 7], columns = ['my_dt'])
    data = candidate(data)
    assert data['weekday'][5] == False
    assert data['weekday'][6] == False
    for i in range (0, 5):
        assert data['weekday'][i]
# 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]]]))
# fetch address information for host 'google.com' ion port 80
def f_2805231():
	return socket.getaddrinfo('google.com', 80)

import socket

def check(candidate):
    res = candidate()
    assert all([(add[4][1] == 80) for add in res])
# add a column 'day' with value 'sat' to dataframe `df`
def f_17552997(df):
	return df.xs('sat', level='day', drop_level=False)

import pandas as pd 

def check(candidate):
    df = pd.DataFrame({'year':[2008,2008,2008,2008,2009,2009,2009,2009], 
                      'flavour':['strawberry','strawberry','banana','banana',
                      'strawberry','strawberry','banana','banana'],
                      'day':['sat','sun','sat','sun','sat','sun','sat','sun'],
                      'sales':[10,12,22,23,11,13,23,24]})
    df = df.set_index(['year','flavour','day'])
    assert candidate(df).to_dict() == {'sales': {(2008, 'strawberry', 'sat'): 10, (2008, 'banana', 'sat'): 22, (2009, 'strawberry', 'sat'): 11, (2009, 'banana', 'sat'): 23}}
# return a 401 unauthorized in django
def f_4356842():
	return HttpResponse('Unauthorized', status=401)

from django.http import HttpResponse
from django.conf import settings

if not settings.configured:
    settings.configure(DEBUG=True)

def check(candidate):
    assert candidate().status_code == 401
# Flask set folder 'wherever' as the default template folder
def f_13598363():
	return Flask('test', template_folder='wherever')

from flask import Flask

def check(candidate):
    __name__ == "test"
    assert candidate().template_folder == "wherever"
# 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]
# set font `Arial` to display non-ascii characters in matplotlib
def f_10960463():
	return matplotlib.rc('font', **{'sans-serif': 'Arial', 'family': 'sans-serif'})

import matplotlib

def check(candidate):
    try:
        candidate()
    except:
        assert False
# 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
# Get the integer location of a key `bob` in a pandas data frame `df`
def f_31793195(df):
	return df.index.get_loc('bob')

import pandas as pd
import numpy as np

def check(candidate):
    df = pd.DataFrame(data=np.asarray([[1,2,3],[4,5,6],[7,8,9]]), index=['alice', 'bob', 'charlie'])
    index = candidate(df)
    assert index == 1
# 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}
# declare an array `my_list`
def f_10487278():
	my_list = []
	return my_list

def check(candidate):
    assert candidate() == []
# 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']
# convert a hex-string representation `hex_str` to actual bytes
def f_3519125(hex_str):
	return bytes.fromhex(hex_str.replace('\\x', ''))

def check(candidate):
    assert candidate("\\xF3\\xBE\\x80\\x80") == b'\xf3\xbe\x80\x80'
# 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'
# converting two lists `[1, 2, 3]` and `[4, 5, 6]` into a matrix
def f_18730044():
	return np.column_stack(([1, 2, 3], [4, 5, 6]))

import numpy as np 

def check(candidate):
    assert np.all(candidate() == np.array([[1, 4], [2, 5], [3, 6]]))
# 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
# get the 5th item of a generator `g`
def f_2300756(g):
	return next(itertools.islice(g, 5, 5 + 1))

import itertools

def check(candidate):
    test = [1, 2, 3, 4, 5, 6, 7]
    assert(candidate(test) == 6)
# return a string `word` with string format
def f_20056548(word):
	return '"{}"'.format(word)

def check(candidate):
    assert candidate('Some Random Word') == '"Some Random Word"'
# join a list of strings `list` using a space ' '
def f_8546245(list):
	return """ """.join(list)

def check(candidate):
    test = ['hello', 'good', 'morning']
    assert candidate(test) == "hello good morning"
# create list `y` containing two empty lists
def f_2276416():
	y = [[] for n in range(2)]
	return y

def check(candidate):
    assert(candidate() == [[], []])
# read a file `filename` into a list `data`
def f_3925614(filename):
	data = [line.strip() for line in open(filename, 'r')]
	return data

def check(candidate):
    file1 = open("myfile.txt", "w")
    L = ["This is Delhi \n", "This is Paris \n", "This is London \n"]
    file1.writelines(L)
    file1.close()
    assert candidate('myfile.txt') == ['This is Delhi', 'This is Paris', 'This is London']
# delete all occurrences of character 'i' in string 'it is icy'
def f_22187233():
	return """""".join([char for char in 'it is icy' if char != 'i'])

def check(candidate):
    assert candidate() == 't s cy'
# delete all instances of a character 'i' in a string 'it is icy'
def f_22187233():
	return re.sub('i', '', 'it is icy')

import re 

def check(candidate):
    assert candidate() == 't s cy'
# delete all characters "i" in string "it is icy"
def f_22187233():
	return """it is icy""".replace('i', '')

def check(candidate):
    assert candidate() == 't s cy'
# Drop rows of pandas dataframe `df` having NaN in column at index "1"
def f_13413590(df):
	return df.dropna(subset=[1])

import numpy as np
import pandas as pd

def check(candidate):
    data = {0:[3.0, 4.0, 2.0], 1:[2.0, 3.0, np.nan], 2:[np.nan, 3.0, np.nan]}
    df = pd.DataFrame(data)
    d = {0:[3.0, 4.0], 1:[2.0, 3.0], 2:[np.nan, 3.0]}
    res = pd.DataFrame(d)
    assert candidate(df).equals(res)
# get elements from list `myList`, that have a field `n` value 30
def f_598398(myList):
	return [x for x in myList if x.n == 30]

import numpy as np
import pandas as pd

def check(candidate):
    class Data: 
        def __init__(self, a, n): 
            self.a = a
            self.n = n
    
    myList = [Data(i, 10*(i%4)) for i in range(20)]
    assert candidate(myList) == [myList[i] for i in [3, 7, 11, 15, 19]]
# 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]
# print "." without newline
def f_493386():
	return sys.stdout.write('.')

import sys

def check(candidate):
    assert candidate() == 1
# round off the float that is the product of `2.52 * 100` and convert it to an int
def f_6569528():
	return int(round(2.52 * 100))

def check(candidate):
    assert candidate() == 252
# Find all files `files` in directory '/mydir' with extension '.txt'
def f_3964681():
	
	os.chdir('/mydir')
	files = [] 
	for file in glob.glob('*.txt'):
		files.append(file)

	return files

import os
import glob
from unittest.mock import Mock

def check(candidate):
    samples = ['abc.txt']
    os.chdir = Mock()
    glob.glob = Mock(return_value = samples)
    assert candidate() == samples
# Find all files in directory "/mydir" with extension ".txt"
def f_3964681():
	return [file for file in os.listdir('/mydir') if file.endswith('.txt')]

import os
from unittest.mock import Mock

def check(candidate):
    samples = ['abc.txt', 'f.csv']
    os.listdir = Mock(return_value = samples)
    assert candidate() == ['abc.txt']
# Find all files in directory "/mydir" with extension ".txt"
def f_3964681():
	return [file for (root, dirs, files) in os.walk('/mydir') for file in files if file.endswith('.txt')]

import os
from unittest.mock import Mock

def check(candidate):
    name = '/mydir'
    samples = [(name, [], ['abc.txt', 'f.csv'])]
    os.walk = Mock(return_value = samples)
    assert candidate() == ['abc.txt']
# plot dataframe `df` without a legend
def f_20865487(df):
	return df.plot(legend=False)

import os 
import pandas as pd

def check(candidate):
    df = pd.DataFrame([1, 2, 3, 4, 5], columns = ['Vals'])
    res = candidate(df)
    assert 'AxesSubplot' in str(type(res))
    assert res.legend_ is None
# loop through the IP address range "192.168.x.x"
def f_13368659():
	return ['192.168.%d.%d'%(i, j) for i in range(256) for j in range(256)]

def check(candidate):
    addrs = candidate()
    assert len(addrs) == 256*256
    assert addrs == [f'192.168.{i}.{j}' for i in range(256) for j in range(256)]
# 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
# write multiple strings `line1`, `line2` and `line3` in one line in a file `target`
def f_8691311(line1, line2, line3, target):
	target.write('%r\n%r\n%r\n' % (line1, line2, line3))
	return 

def check(candidate):
    file_name = 'abc.txt'
    lines = ['fgh', 'ijk', 'mnop']
    f = open(file_name, 'a')
    candidate(lines[0], lines[1], lines[2], f)
    f.close()
    with open(file_name, 'r') as f:
        f_lines = f.readlines()
        for i in range (0, len(lines)):
            assert lines[i] in f_lines[i]
# Convert list of lists `data` into a flat list
def f_10632111(data):
	return [y for x in data for y in (x if isinstance(x, list) else [x])]

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

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

    data = [1,2,3]
    assert candidate(data) == [1, 2, 3]
# Print new line character as `\n` in a string `foo\nbar`
def f_15392730():
	return 'foo\nbar'.encode('unicode_escape')

def check(candidate):
    assert candidate() == b'foo\\nbar'
# remove last comma character ',' in string `s`
def f_1010961(s):
	return """""".join(s.rsplit(',', 1))

def check(candidate):
    assert candidate('abc, def, klm') == 'abc, def klm'
# calculate the mean of each element in array `x` with the element previous to it
def f_23855976(x):
	return (x[1:] + x[:-1]) / 2

import numpy as np

def check(candidate):
    x = np.array([ 1230.,  1230.,  1227.,  1235.,  1217.,  1153.,  1170.])
    xm = np.array([1230. , 1228.5, 1231. , 1226. , 1185. , 1161.5])
    assert np.array_equal(candidate(x), xm)
# get an array of the mean of each two consecutive values in numpy array `x`
def f_23855976(x):
	return x[:-1] + (x[1:] - x[:-1]) / 2

import numpy as np

def check(candidate):
    x = np.array([ 1230.,  1230.,  1227.,  1235.,  1217.,  1153.,  1170.])
    xm = np.array([1230. , 1228.5, 1231. , 1226. , 1185. , 1161.5])
    assert np.array_equal(candidate(x), xm)
# load data containing `utf-8` from file `new.txt` into numpy array `arr`
def f_6375343():
	arr = numpy.fromiter(codecs.open('new.txt', encoding='utf-8'), dtype='<U2')
	return arr

import numpy
import codecs
import numpy as np

def check(candidate):
    with open ('new.txt', 'a', encoding='utf-8') as f:
        f.write('ट')
        f.write('ज')
    arr = candidate()
    assert arr[0] == 'टज'
# reverse sort list of dicts `l` by value for key `time`
def f_1547733(l):
	l = sorted(l, key=itemgetter('time'), reverse=True)
	return l

from operator import itemgetter

def check(candidate):
    l = [ {'time':33}, {'time':11}, {'time':66} ]
    assert candidate(l) == [{'time':66}, {'time':33}, {'time':11}]
# Sort a list of dictionary `l` based on key `time` in descending order
def f_1547733(l):
	l = sorted(l, key=lambda a: a['time'], reverse=True)
	return l

def check(candidate):
    l = [ {'time':33}, {'time':11}, {'time':66} ]
    assert candidate(l) == [{'time':66}, {'time':33}, {'time':11}]
# get rows of dataframe `df` that match regex '(Hel|Just)'
def f_37080612(df):
	return df.loc[df[0].str.contains('(Hel|Just)')]

import pandas as pd 

def check(candidate):
    df = pd.DataFrame([['Hello', 'World'], ['Just', 'Wanted'], ['To', 'Say'], ['I\'m', 'Tired']])
    df1 = candidate(df)
    assert df1[0][0] == 'Hello'
    assert df1[0][1] == 'Just'
# find the string in `your_string` between two special characters "[" and "]"
def f_14716342(your_string):
	return re.search('\\[(.*)\\]', your_string).group(1)

import re

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

    assert candidate('hello[world] !') == 'world'
# create a list of date string in 'yyyymmdd' format with Python Pandas from '20130226' to '20130302'
def f_18684076():
	return [d.strftime('%Y%m%d') for d in pandas.date_range('20130226', '20130302')]

import pandas 

def check(candidate):
    assert candidate() == ['20130226', '20130227', '20130228', '20130301', '20130302']
# count number of times string 'brown' occurred in string 'The big brown fox is brown'
def f_1666700():
	return """The big brown fox is brown""".count('brown')

def check(candidate):
    assert candidate() == 2
# decode json string `request_body` to python dict
def f_18979111(request_body):
	return json.loads(request_body)

import json 

def check(candidate):
    x = """{
    "Name": "Jennifer Smith",
    "Contact Number": 7867567898,
    "Email": "jen123@gmail.com",
    "Hobbies":["Reading", "Sketching", "Horse Riding"]
    }"""
    assert candidate(x) == {'Hobbies': ['Reading', 'Sketching', 'Horse Riding'], 'Name': 'Jennifer Smith', 'Email': 'jen123@gmail.com', 'Contact Number': 7867567898}
# download the file from url `url` and save it under file `file_name`
def f_7243750(url, file_name):
	return urllib.request.urlretrieve(url, file_name)

import urllib 

def check(candidate):
    file_name = 'g.html'
    candidate('https://asia.nikkei.com/Business/Tech/Semiconductors/U.S.-chip-tool-maker-Synopsys-expands-in-Vietnam-amid-China-tech-war', file_name)
    with open (file_name, 'r') as f:
        lines = f.readlines()
        if len(lines) == 0: assert False
        else: assert True
# split string `text` by space
def f_743806(text):
	return text.split()

def check(candidate):
    assert candidate('The quick brown fox') == ['The', 'quick', 'brown', 'fox']

    assert candidate('hello!') == ['hello!']

    assert candidate('hello world !') == ['hello', 'world', '!']
# split string `text` by ","
def f_743806(text):
	return text.split(',')

def check(candidate):
    assert candidate('The quick brown fox') == ['The quick brown fox']

    assert candidate('The,quick,brown,fox') == ['The', 'quick', 'brown', 'fox']
# Split string `line` into a list by whitespace
def f_743806(line):
	return line.split()

def check(candidate):
    assert candidate('The  quick brown  fox') == ['The', 'quick', 'brown', 'fox']
# replace dot characters  '.' associated with ascii letters in list `s` with space ' '
def f_35044115(s):
	return [re.sub('(?<!\\d)\\.(?!\\d)', ' ', i) for i in s]

import re 

def check(candidate):
    assert candidate('h.j.k') == ['h', ' ', 'j', ' ', 'k']
# sort list `list_of_strings` based on second index of each string `s`
def f_38388799(list_of_strings):
	return sorted(list_of_strings, key=lambda s: s.split(',')[1])

def check(candidate):
    assert candidate(['parrot, medicine', 'abott, kangaroo', 'sriracha, coriander', 'phone, bottle']) == ['phone, bottle', 'sriracha, coriander', 'abott, kangaroo', 'parrot, medicine']

    assert candidate(['abott, kangaroo', 'parrot, medicine', 'sriracha, coriander', 'phone, bottle']) == ['phone, bottle', 'sriracha, coriander', 'abott, kangaroo', 'parrot, medicine']
# eliminate non-integer items from list `lst`
def f_37004138(lst):
	return [element for element in lst if isinstance(element, int)]

def check(candidate):
    lst = [1, "hello", "string", 2, 4.46]
    assert candidate(lst) == [1, 2]

    lst = ["hello", "string"]
    assert candidate(lst) == []