Na0s/sft-ready-neulab-conala · Datasets at Hugging Face

prompt stringlengths 4 181	completion stringlengths 2 232
bprocess run command 'start command flags arguments' through the shell	subprocess.call('start command -flags arguments', shell=True)
mmand 'command flags arguments &' on command line tools as separate processe	subprocess.call('command -flags arguments &', shell=True)
eplace percentencoded code in request `f` to their singlecharacter equivale	f = urllib.request.urlopen(url, urllib.parse.unquote(urllib.parse.urlencode(params)))
emove white spaces from the end of string xyz	""" xyz """.rstrip()
Replace special characters in utf8 encoded string `s` using the %xx escape	urllib.parse.quote(s.encode('utf-8'))
URL encoding in pytho	urllib.parse.quote_plus('a b')
Create an array containing the conversion of string '100110' into separate eleme	np.array(map(int, '100110'))
vert a string 'mystr' to numpy array of integer value	print(np.array(list(mystr), dtype=int))
vert an rgb image 'messi5.jpg' into grayscale `img`	img = cv2.imread('messi5.jpg', 0)
list `lst` in descending order based on the second item of each tuple in	lst.sort(key=lambda x: x[2], reverse=True)
w to find all occurrences of an element in a list?	indices = [i for i, x in enumerate(my_list) if x == 'whatever']
execute shell command 'grep r PASSED *.log \| sort u \| wc l' with a \| pipe in	subprocess.call('grep -r PASSED *.log \| sort -u \| wc -l', shell=True)
he number of trailing question marks in string `my_text`	len(my_text) - len(my_text.rstrip('?'))
emove dollar sign '$' from second to last column data in dataframe 'df' and convert the data into flo	df[df.columns[1:]].replace('[\\$,]', '', regex=True).astype(float)
Merge column 'word' in dataframe `df2` with column 'word' on dataframe `df1`	df1.merge(df2, how='left', on='word')
witch positions of each two adjacent characters in string `a`	print(''.join(''.join(i) for i in zip(a2, a1)) + a[-1] if len(a) % 2 else '')
ke a window `root` jump to the fro	root.attributes('-topmost', True)
ke a window `root` jump to the fro	root.lift()
Convert list of booleans `walls` into a hex string	hex(int(''.join([str(int(b)) for b in walls]), 2))
vert the sum of list `walls` into a hex presentatio	hex(sum(b << i for i, b in enumerate(reversed(walls))))
print the string `Total score for`, the value of the variable `name`, the string `is` and the value of the variable `score` in one print call.	print(('Total score for', name, 'is', score))
print multiple arguments 'name' and 'score'.	print('Total score for {} is {}'.format(name, score))
print a string using multiple strings `name` and `score`	print('Total score for %s is %s ' % (name, score))
print string including multiple variables `name` and `score`	print(('Total score for', name, 'is', score))
erve a static html page 'your_template.html' at the root of a django projec	url('^$', TemplateView.as_view(template_name='your_template.html'))
e a list of values `[3,6]` to select rows from a pandas dataframe `df`'s column 'A'	df[df['A'].isin([3, 6])]
w to get the concrete class name as a string?	instance.__class__.__name__
execute python code `myscript.py` in a virtualenv `/path/to/my/venv` from matlab	system('/path/to/my/venv/bin/python myscript.py')
django return a QuerySet list containing the values of field 'eng_name' in model `Employees`	Employees.objects.values_list('eng_name', flat=True)
find all digits in string '6,7)' and put them to a l	re.findall('\\d\|\\d,\\d\\)', '6,7)')
prompt string 'Press Enter to continue...' to the console	input('Press Enter to continue...')
print string ABC as hex literal	"""ABC""".encode('hex')
ert a new field 'geolocCountry' on an existing document 'b' using pymongo	db.Doc.update({'_id': b['_id']}, {'$set': {'geolocCountry': myGeolocCountry}})
Write a regex statement to match 'lol' to 'lolllll'.	re.sub('l+', 'l', 'lollll')
BeautifulSoup find all 'tr' elements in HTML string `soup` at the five stride starting from the fourth eleme	rows = soup.findAll('tr')[4::5]
everse all xaxis points in pyplo	plt.gca().invert_xaxis()
everse yaxis in pyplo	plt.gca().invert_yaxis()
ack two dataframes next to each other in pand	pd.concat([GOOG, AAPL], keys=['GOOG', 'AAPL'], axis=1)
eate a json response `response_data`	return HttpResponse(json.dumps(response_data), content_type='application/json')
decode escape sequences in string `myString`	myString.decode('string_escape')
alculate the md5 checksum of a file named 'filename.exe'	hashlib.md5(open('filename.exe', 'rb').read()).hexdigest()
Find all keys from a dictionary `d` whose values are `desired_value`	[k for k, v in d.items() if v == desired_value]
eate a set containing all keys' names from dictionary `LoD`	{k for d in LoD for k in list(d.keys())}
eate a set containing all keys names from list of dictionaries `LoD`	set([i for s in [list(d.keys()) for d in LoD] for i in s])
extract all keys from a list of dictionaries `LoD`	[i for s in [list(d.keys()) for d in LoD] for i in s]
pack keys and values of a dictionary `d` into two l	keys, values = zip(*list(d.items()))
vert a string `s` containing a decimal to an integer	int(Decimal(s))
Convert a string to integer with decimal in Pytho	int(s.split('.')[0])
heck if array `b` contains all elements of array `a`	numpy.in1d(b, a).all()
py: check if array 'a' contains all the numbers in array 'b'.	numpy.array([(x in a) for x in b])
Draw node labels `labels` on networkx graph `G ` at position `pos`	networkx.draw_networkx_labels(G, pos, labels)
ke a rowbyrow copy `y` of array `x`	y = [row[:] for row in x]
Create 2D numpy array from the data provided in 'somefile.csv' with each row in the file having same number of value	X = numpy.loadtxt('somefile.csv', delimiter=',')
get a list of items from the list `some_list` that contain string 'abc'	matching = [s for s in some_list if 'abc' in s]
export a pandas data frame `df` to a file `mydf.tsv` and retain the indice	df.to_csv('mydf.tsv', sep='\t')
w do I create a LIST of unique random numbers?	random.sample(list(range(100)), 10)
plit a string `s` on last delimiter	s.rsplit(',', 1)
Check if all elements in list `lst` are tupples of long and	all(isinstance(x, int) for x in lst)
heck if all elements in a list 'lst' are the same type 'int'	all(isinstance(x, int) for x in lst)
p a string `line` of all carriage returns and newline	line.strip()
ll to the bottom of a web page using selenium webdriver	driver.execute_script('window.scrollTo(0, Y)')
ll a to the bottom of a web page using selenium webdriver	driver.execute_script('window.scrollTo(0, document.body.scrollHeight);')
vert Date object `dateobject` into a DateTime objec	datetime.datetime.combine(dateobject, datetime.time())
heck if any item from list `b` is in list `a`	print(any(x in a for x in b))
ave a numpy array `image_array` as an image 'outfile.jpg'	scipy.misc.imsave('outfile.jpg', image_array)
Remove anything in parenthesis from string `item` with a regex	item = re.sub(' ?\\([^)]+\\)', '', item)
Remove word characters in parenthesis from string `item` with a regex	item = re.sub(' ?\\(\\w+\\)', '', item)
Remove all data inside parenthesis in string `item`	item = re.sub(' \\(\\w+\\)', '', item)
heck if any elements in one list `list1` are in another list `list2`	len(set(list1).intersection(list2)) > 0
vert hex string `s` to decimal	i = int(s, 16)
vert hex string 0xff to decimal	int('0xff', 16)
vert hex string FFFF to decimal	int('FFFF', 16)
vert hex string '0xdeadbeef' to decimal	ast.literal_eval('0xdeadbeef')
vert hex string 'deadbeef' to decimal	int('deadbeef', 16)
ake screenshot 'screen.png' on mac os x	os.system('screencapture screen.png')
Set a window size to `1400, 1000` using selenium webdriver	driver.set_window_size(1400, 1000)
eplace nonascii chars from a unicode string u'm\xfasica'	unicodedata.normalize('NFKD', 'm\xfasica').encode('ascii', 'ignore')
atenate dataframe `df1` with `df2` whilst removing duplicate	pandas.concat([df1, df2]).drop_duplicates().reset_index(drop=True)
Construct an array with data type float32 `a` from data in binary file 'filename'	a = numpy.fromfile('filename', dtype=numpy.float32)
execute a mv command `mv /home/somedir/subdir/* somedir/` in subproce	subprocess.call('mv /home/somedir/subdir/* somedir/', shell=True)
w to use the mv command in Python with subproce	subprocess.call('mv /home/somedir/subdir/* somedir/', shell=True)
print a character that has unicode value `\u25b2`	print('\u25b2'.encode('utf-8'))
mpare contents at filehandles `file1` and `file2` using difflib	difflib.SequenceMatcher(None, file1.read(), file2.read())
Create a dictionary from string `e` separated by `` and `,`	dict((k, int(v)) for k, v in (e.split(' - ') for e in s.split(',')))
heck if all elements in a tuple `(1, 6)` are in another `(1, 2, 3, 4, 5)`	all(i in (1, 2, 3, 4, 5) for i in (1, 6))
extract unique dates from time series 'Date' in dataframe `df`	df['Date'].map(lambda t: t.date()).unique()
ght align string `mystring` with a width of 7	"""{:>7s}""".format(mystring)
ead an excel file 'ComponentReportDJI.xls'	open('ComponentReport-DJI.xls', 'rb').read(200)
dataframe `df` based on column 'b' in ascending and column 'c' in descending	df.sort_values(['b', 'c'], ascending=[True, False], inplace=True)
dataframe `df` based on column 'a' in ascending and column 'b' in descending	df.sort_values(['a', 'b'], ascending=[True, False])
a pandas data frame with column `a` in ascending and `b` in descending order	df1.sort(['a', 'b'], ascending=[True, False], inplace=True)
a pandas data frame by column `a` in ascending, and by column `b` in descending order	df.sort(['a', 'b'], ascending=[True, False])
django redirect to view 'Home.views.index'	redirect('Home.views.index')
emove all values within one list `[2, 3, 7]` from another list `a`	[x for x in a if x not in [2, 3, 7]]
emove the punctuation '!', '.', ':' from a string `asking`	out = ''.join(c for c in asking if c not in ('!', '.', ':'))
BeautifulSoup get value associated with attribute 'content' where attribute 'name' is equal to 'City' in tag 'meta' in HTML parsed string `soup`	soup.find('meta', {'name': 'City'})['content']
quote a urlencoded unicode string '%0a'	urllib.parse.unquote('%0a')
decode url `url` from UTF16 code to UTF8 code	urllib.parse.unquote(url).decode('utf8')
empty a list `lst`	del lst[:]
empty a list `lst`	del lst1[:]

bprocess run command 'start command flags arguments' through the shell

subprocess.call('start command -flags arguments', shell=True)

mmand 'command flags arguments &' on command line tools as separate processe

subprocess.call('command -flags arguments &', shell=True)

eplace percentencoded code in request `f` to their singlecharacter equivale

f = urllib.request.urlopen(url, urllib.parse.unquote(urllib.parse.urlencode(params)))

emove white spaces from the end of string xyz

""" xyz """.rstrip()

Replace special characters in utf8 encoded string `s` using the %xx escape

urllib.parse.quote(s.encode('utf-8'))

URL encoding in pytho

urllib.parse.quote_plus('a b')

Create an array containing the conversion of string '100110' into separate eleme

np.array(map(int, '100110'))

vert a string 'mystr' to numpy array of integer value

print(np.array(list(mystr), dtype=int))

vert an rgb image 'messi5.jpg' into grayscale `img`

img = cv2.imread('messi5.jpg', 0)

list `lst` in descending order based on the second item of each tuple in

lst.sort(key=lambda x: x[2], reverse=True)

w to find all occurrences of an element in a list?

indices = [i for i, x in enumerate(my_list) if x == 'whatever']

execute shell command 'grep r PASSED *.log | sort u | wc l' with a | pipe in

subprocess.call('grep -r PASSED *.log | sort -u | wc -l', shell=True)

he number of trailing question marks in string `my_text`

len(my_text) - len(my_text.rstrip('?'))

emove dollar sign '$' from second to last column data in dataframe 'df' and convert the data into flo

df[df.columns[1:]].replace('[\\$,]', '', regex=True).astype(float)

Merge column 'word' in dataframe `df2` with column 'word' on dataframe `df1`

df1.merge(df2, how='left', on='word')

witch positions of each two adjacent characters in string `a`

print(''.join(''.join(i) for i in zip(a2, a1)) + a[-1] if len(a) % 2 else '')

ke a window `root` jump to the fro

root.attributes('-topmost', True)

ke a window `root` jump to the fro

root.lift()

Convert list of booleans `walls` into a hex string

hex(int(''.join([str(int(b)) for b in walls]), 2))

vert the sum of list `walls` into a hex presentatio

hex(sum(b << i for i, b in enumerate(reversed(walls))))

print the string `Total score for`, the value of the variable `name`, the string `is` and the value of the variable `score` in one print call.

print(('Total score for', name, 'is', score))

print multiple arguments 'name' and 'score'.

print('Total score for {} is {}'.format(name, score))

print a string using multiple strings `name` and `score`

print('Total score for %s is %s ' % (name, score))

print string including multiple variables `name` and `score`

print(('Total score for', name, 'is', score))

erve a static html page 'your_template.html' at the root of a django projec

url('^$', TemplateView.as_view(template_name='your_template.html'))

e a list of values `[3,6]` to select rows from a pandas dataframe `df`'s column 'A'

df[df['A'].isin([3, 6])]

w to get the concrete class name as a string?

instance.__class__.__name__

execute python code `myscript.py` in a virtualenv `/path/to/my/venv` from matlab

system('/path/to/my/venv/bin/python myscript.py')

django return a QuerySet list containing the values of field 'eng_name' in model `Employees`

Employees.objects.values_list('eng_name', flat=True)

find all digits in string '6,7)' and put them to a l

re.findall('\\d|\\d,\\d\\)', '6,7)')

prompt string 'Press Enter to continue...' to the console

input('Press Enter to continue...')

print string ABC as hex literal

"""ABC""".encode('hex')

ert a new field 'geolocCountry' on an existing document 'b' using pymongo

db.Doc.update({'_id': b['_id']}, {'$set': {'geolocCountry': myGeolocCountry}})

Write a regex statement to match 'lol' to 'lolllll'.

re.sub('l+', 'l', 'lollll')

BeautifulSoup find all 'tr' elements in HTML string `soup` at the five stride starting from the fourth eleme

rows = soup.findAll('tr')[4::5]

everse all xaxis points in pyplo

plt.gca().invert_xaxis()

everse yaxis in pyplo

plt.gca().invert_yaxis()

ack two dataframes next to each other in pand

pd.concat([GOOG, AAPL], keys=['GOOG', 'AAPL'], axis=1)

eate a json response `response_data`

return HttpResponse(json.dumps(response_data), content_type='application/json')

decode escape sequences in string `myString`

myString.decode('string_escape')

alculate the md5 checksum of a file named 'filename.exe'

hashlib.md5(open('filename.exe', 'rb').read()).hexdigest()

Find all keys from a dictionary `d` whose values are `desired_value`

[k for k, v in d.items() if v == desired_value]

eate a set containing all keys' names from dictionary `LoD`

{k for d in LoD for k in list(d.keys())}

eate a set containing all keys names from list of dictionaries `LoD`

set([i for s in [list(d.keys()) for d in LoD] for i in s])

extract all keys from a list of dictionaries `LoD`

[i for s in [list(d.keys()) for d in LoD] for i in s]

pack keys and values of a dictionary `d` into two l

keys, values = zip(*list(d.items()))

vert a string `s` containing a decimal to an integer

int(Decimal(s))

Convert a string to integer with decimal in Pytho

int(s.split('.')[0])

heck if array `b` contains all elements of array `a`

numpy.in1d(b, a).all()

py: check if array 'a' contains all the numbers in array 'b'.

numpy.array([(x in a) for x in b])

Draw node labels `labels` on networkx graph `G ` at position `pos`

networkx.draw_networkx_labels(G, pos, labels)

ke a rowbyrow copy `y` of array `x`

y = [row[:] for row in x]

Create 2D numpy array from the data provided in 'somefile.csv' with each row in the file having same number of value

X = numpy.loadtxt('somefile.csv', delimiter=',')

get a list of items from the list `some_list` that contain string 'abc'

matching = [s for s in some_list if 'abc' in s]

export a pandas data frame `df` to a file `mydf.tsv` and retain the indice

df.to_csv('mydf.tsv', sep='\t')

w do I create a LIST of unique random numbers?

random.sample(list(range(100)), 10)

plit a string `s` on last delimiter

s.rsplit(',', 1)

Check if all elements in list `lst` are tupples of long and

all(isinstance(x, int) for x in lst)

heck if all elements in a list 'lst' are the same type 'int'

all(isinstance(x, int) for x in lst)

p a string `line` of all carriage returns and newline

line.strip()

ll to the bottom of a web page using selenium webdriver

driver.execute_script('window.scrollTo(0, Y)')

ll a to the bottom of a web page using selenium webdriver

driver.execute_script('window.scrollTo(0, document.body.scrollHeight);')

vert Date object `dateobject` into a DateTime objec

datetime.datetime.combine(dateobject, datetime.time())

heck if any item from list `b` is in list `a`

print(any(x in a for x in b))

ave a numpy array `image_array` as an image 'outfile.jpg'

scipy.misc.imsave('outfile.jpg', image_array)

Remove anything in parenthesis from string `item` with a regex

item = re.sub(' ?\$[^)]+\$', '', item)

Remove word characters in parenthesis from string `item` with a regex

item = re.sub(' ?\$\\w+\$', '', item)

Remove all data inside parenthesis in string `item`

item = re.sub(' \$\\w+\$', '', item)

heck if any elements in one list `list1` are in another list `list2`

len(set(list1).intersection(list2)) > 0

vert hex string `s` to decimal

i = int(s, 16)

vert hex string 0xff to decimal

int('0xff', 16)

vert hex string FFFF to decimal

int('FFFF', 16)

vert hex string '0xdeadbeef' to decimal

ast.literal_eval('0xdeadbeef')

vert hex string 'deadbeef' to decimal

int('deadbeef', 16)

ake screenshot 'screen.png' on mac os x

os.system('screencapture screen.png')

Set a window size to `1400, 1000` using selenium webdriver

driver.set_window_size(1400, 1000)

eplace nonascii chars from a unicode string u'm\xfasica'

unicodedata.normalize('NFKD', 'm\xfasica').encode('ascii', 'ignore')

atenate dataframe `df1` with `df2` whilst removing duplicate

pandas.concat([df1, df2]).drop_duplicates().reset_index(drop=True)

Construct an array with data type float32 `a` from data in binary file 'filename'

a = numpy.fromfile('filename', dtype=numpy.float32)

execute a mv command `mv /home/somedir/subdir/* somedir/` in subproce

subprocess.call('mv /home/somedir/subdir/* somedir/', shell=True)

w to use the mv command in Python with subproce

subprocess.call('mv /home/somedir/subdir/* somedir/', shell=True)

print a character that has unicode value `\u25b2`

print('\u25b2'.encode('utf-8'))

mpare contents at filehandles `file1` and `file2` using difflib

difflib.SequenceMatcher(None, file1.read(), file2.read())

Create a dictionary from string `e` separated by `` and `,`

dict((k, int(v)) for k, v in (e.split(' - ') for e in s.split(',')))

heck if all elements in a tuple `(1, 6)` are in another `(1, 2, 3, 4, 5)`

all(i in (1, 2, 3, 4, 5) for i in (1, 6))

extract unique dates from time series 'Date' in dataframe `df`

df['Date'].map(lambda t: t.date()).unique()

ght align string `mystring` with a width of 7

"""{:>7s}""".format(mystring)

ead an excel file 'ComponentReportDJI.xls'

open('ComponentReport-DJI.xls', 'rb').read(200)

dataframe `df` based on column 'b' in ascending and column 'c' in descending

df.sort_values(['b', 'c'], ascending=[True, False], inplace=True)

dataframe `df` based on column 'a' in ascending and column 'b' in descending

df.sort_values(['a', 'b'], ascending=[True, False])

a pandas data frame with column `a` in ascending and `b` in descending order

df1.sort(['a', 'b'], ascending=[True, False], inplace=True)

a pandas data frame by column `a` in ascending, and by column `b` in descending order

df.sort(['a', 'b'], ascending=[True, False])

django redirect to view 'Home.views.index'

redirect('Home.views.index')

emove all values within one list `[2, 3, 7]` from another list `a`

[x for x in a if x not in [2, 3, 7]]

emove the punctuation '!', '.', ':' from a string `asking`

out = ''.join(c for c in asking if c not in ('!', '.', ':'))

BeautifulSoup get value associated with attribute 'content' where attribute 'name' is equal to 'City' in tag 'meta' in HTML parsed string `soup`

soup.find('meta', {'name': 'City'})['content']

quote a urlencoded unicode string '%0a'

urllib.parse.unquote('%0a')

decode url `url` from UTF16 code to UTF8 code

urllib.parse.unquote(url).decode('utf8')

empty a list `lst`

del lst[:]

empty a list `lst`

del lst1[:]