| question_id
				 stringlengths 7 12 | nl
				 stringlengths 4 200 | cmd
				 stringlengths 2 232 | oracle_man
				 list | canonical_cmd
				 stringlengths 2 228 | cmd_name
				 stringclasses 1
				value | 
|---|---|---|---|---|---|
| 
	348196-52 | 
	Create list `instancelist` containing 29 objects of type MyClass | 
	instancelist = [MyClass() for i in range(29)] | 
	[
  "python.library.functions#range"
] | 
	VAR_STR = [MyClass() for i in range(29)] | 
	conala | 
| 
	5744980-30 | 
	Taking the results of a bash command "awk '{print $10, $11}' test.txt > test2.txt" | 
	os.system("awk '{print $10, $11}' test.txt > test2.txt") | 
	[
  "python.library.os#os.system"
] | 
	os.system('VAR_STR') | 
	conala | 
| 
	16739319-24 | 
	selenium wait for driver `driver` 60 seconds before throwing a NoSuchElementExceptions exception | 
	driver.implicitly_wait(60) | 
	[] | 
	VAR_STR.implicitly_wait(60) | 
	conala | 
| 
	16739319-56 | 
	selenium webdriver switch to frame 'frameName' | 
	driver.switch_to_frame('frameName') | 
	[] | 
	driver.switch_to_frame('VAR_STR') | 
	conala | 
| 
	39870642-93 | 
	Save plot `plt` as png file 'filename.png' | 
	plt.savefig('filename.png') | 
	[
  "matplotlib.figure_api#matplotlib.figure.Figure.savefig"
] | 
	VAR_STR.savefig('VAR_STR') | 
	conala | 
| 
	39870642-22 | 
	Save matplotlib graph to image file `filename.png` at a resolution of `300 dpi` | 
	plt.savefig('filename.png', dpi=300) | 
	[
  "matplotlib.figure_api#matplotlib.figure.Figure.savefig"
] | 
	plt.savefig('VAR_STR', dpi=300) | 
	conala | 
| 
	20062565-45 | 
	search for regex pattern 'Test(.*)print' in string `testStr` including new line character '\n' | 
	re.search('Test(.*)print', testStr, re.DOTALL) | 
	[
  "python.library.re#re.search"
] | 
	re.search('VAR_STR', VAR_STR, re.DOTALL) | 
	conala | 
| 
	42364992-94 | 
	Enclose numbers in quotes in a string `This is number 1 and this is number 22` | 
	re.sub('(\\d+)', '"\\1"', 'This is number 1 and this is number 22') | 
	[
  "python.library.re#re.sub"
] | 
	re.sub('(\\d+)', '"\\1"', 'VAR_STR') | 
	conala | 
| 
	4383571-75 | 
	Importing file `file` from folder '/path/to/application/app/folder' | 
	sys.path.insert(0, '/path/to/application/app/folder')
import file | 
	[
  "numpy.reference.generated.numpy.insert"
] | 
	sys.path.insert(0, 'VAR_STR')
import VAR_STR | 
	conala | 
| 
	11703064-52 | 
	append the sum of each tuple pair in the grouped list `list1` and list `list2` elements to list `list3` | 
	list3 = [(a + b) for a, b in zip(list1, list2)] | 
	[
  "python.library.functions#zip"
] | 
	VAR_STR = [(a + b) for a, b in zip(VAR_STR, VAR_STR)] | 
	conala | 
| 
	25540259-67 | 
	remove frame of legend in plot `plt` | 
	plt.legend(frameon=False) | 
	[
  "matplotlib.legend_api#matplotlib.legend.Legend"
] | 
	VAR_STR.legend(frameon=False) | 
	conala | 
| 
	16050952-62 | 
	remove the punctuation '!', '.', ':' from a string `asking` | 
	out = ''.join(c for c in asking if c not in ('!', '.', ':')) | 
	[
  "python.library.stdtypes#str.join"
] | 
	out = ''.join(c for c in VAR_STR if c not in ('VAR_STR', 'VAR_STR', 'VAR_STR')) | 
	conala | 
| 
	12096252-61 | 
	use a list of values `[3,6]` to select rows from a pandas dataframe `df`'s column 'A' | 
	df[df['A'].isin([3, 6])] | 
	[
  "numpy.reference.generated.numpy.isin"
] | 
	VAR_STR[VAR_STR['A'].isin([3, 6])] | 
	conala | 
| 
	1179305-61 | 
	Parse a file `sample.xml` using expat parsing in python 3 | 
	parser.ParseFile(open('sample.xml', 'rb')) | 
	[
  "python.library.urllib.request#open"
] | 
	parser.ParseFile(open('VAR_STR', 'rb')) | 
	conala | 
| 
	22229255-65 | 
	match zero-or-more instances of lower case alphabet characters in a string `f233op ` | 
	re.findall('([a-z]*)', 'f233op') | 
	[
  "python.library.re#re.findall"
] | 
	re.findall('([a-z]*)', 'VAR_STR') | 
	conala | 
| 
	22229255-56 | 
	match zero-or-more instances of lower case alphabet characters in a string `f233op ` | 
	re.findall('([a-z])*', 'f233op') | 
	[
  "python.library.re#re.findall"
] | 
	re.findall('([a-z])*', 'VAR_STR') | 
	conala | 
| 
	209513-92 | 
	Convert hex string "deadbeef" to integer | 
	int('deadbeef', 16) | 
	[
  "python.library.functions#int"
] | 
	int('VAR_STR', 16) | 
	conala | 
| 
	209513-93 | 
	Convert hex string "a" to integer | 
	int('a', 16) | 
	[
  "python.library.functions#int"
] | 
	int('VAR_STR', 16) | 
	conala | 
| 
	209513-94 | 
	Convert hex string "0xa" to integer | 
	int('0xa', 16) | 
	[
  "python.library.functions#int"
] | 
	int('VAR_STR', 16) | 
	conala | 
| 
	209513-47 | 
	Convert hex string `s` to integer | 
	int(s, 16) | 
	[
  "python.library.functions#int"
] | 
	int(VAR_STR, 16) | 
	conala | 
| 
	209513-79 | 
	Convert hex string `hexString` to int | 
	int(hexString, 16) | 
	[
  "python.library.functions#int"
] | 
	int(VAR_STR, 16) | 
	conala | 
| 
	1400608-13 | 
	empty a list `lst` | 
	del lst[:] | 
	[] | 
	del VAR_STR[:] | 
	conala | 
| 
	1400608-91 | 
	empty a list `lst` | 
	del lst1[:] | 
	[] | 
	del lst1[:] | 
	conala | 
| 
	1400608-86 | 
	empty a list `lst` | 
	lst[:] = [] | 
	[] | 
	VAR_STR[:] = [] | 
	conala | 
| 
	1400608-67 | 
	empty a list `alist` | 
	alist[:] = [] | 
	[] | 
	VAR_STR[:] = [] | 
	conala | 
| 
	15740236-74 | 
	encode unicode string '\xc5\xc4\xd6' to utf-8 code | 
	print('\xc5\xc4\xd6'.encode('UTF8')) | 
	[
  "python.library.stdtypes#str.encode"
] | 
	print('VAR_STR'.encode('UTF8')) | 
	conala | 
| 
	41648246-16 | 
	solve for the least squares' solution of matrices `a` and `b` | 
	np.linalg.solve(np.dot(a.T, a), np.dot(a.T, b)) | 
	[
  "numpy.reference.generated.numpy.dot",
  "numpy.reference.generated.numpy.linalg.solve"
] | 
	np.linalg.solve(np.dot(VAR_STR.T, VAR_STR), np.dot(VAR_STR.T, VAR_STR)) | 
	conala | 
| 
	3820312-13 | 
	create a file 'filename' with each tuple in the list `mylist` written to a line | 
	open('filename', 'w').write('\n'.join('%s %s' % x for x in mylist)) | 
	[
  "python.library.urllib.request#open",
  "python.library.stdtypes#str.join",
  "python.library.os#os.write"
] | 
	open('VAR_STR', 'w').write('\n'.join('%s %s' % x for x in VAR_STR)) | 
	conala | 
| 
	7351270-100 | 
	print numbers in list `list` with precision of 3 decimal places | 
	print('[%s]' % ', '.join('%.3f' % val for val in list)) | 
	[
  "python.library.stdtypes#str.join"
] | 
	print('[%s]' % ', '.join('%.3f' % val for val in VAR_STR)) | 
	conala | 
| 
	7351270-60 | 
	format print output of list of floats `l` to print only up to 3 decimal points | 
	print('[' + ', '.join('%5.3f' % v for v in l) + ']') | 
	[
  "python.library.stdtypes#str.join"
] | 
	print('[' + ', '.join('%5.3f' % v for v in VAR_STR) + ']') | 
	conala | 
| 
	7351270-62 | 
	print a list of floating numbers `l` using string formatting | 
	print([('%5.3f' % val) for val in l]) | 
	[] | 
	print([('%5.3f' % val) for val in VAR_STR]) | 
	conala | 
| 
	14750675-12 | 
	delete letters from string '12454v' | 
	"""""".join(filter(str.isdigit, '12454v')) | 
	[
  "python.library.functions#filter",
  "python.library.stdtypes#str.join"
] | 
	"""""".join(filter(str.isdigit, 'VAR_STR')) | 
	conala | 
| 
	4508155-69 | 
	Get a md5 hash from string `thecakeisalie` | 
	k = hashlib.md5('thecakeisalie').hexdigest() | 
	[
  "python.library.hashlib#hashlib.hash.hexdigest"
] | 
	k = hashlib.md5('VAR_STR').hexdigest() | 
	conala | 
| 
	36296993-71 | 
	replace string 'in.' with ' in. ' in dataframe `df` column 'a' | 
	df['a'] = df['a'].str.replace('in.', ' in. ') | 
	[
  "python.library.stdtypes#str.replace"
] | 
	VAR_STR['VAR_STR'] = VAR_STR['VAR_STR'].str.replace('VAR_STR', ' in. ') | 
	conala | 
| 
	1246444-16 | 
	convert string `x'  to dictionary splitted by `=` using list comprehension | 
	dict([x.split('=') for x in s.split()]) | 
	[
  "python.library.stdtypes#dict",
  "python.library.stdtypes#str.split"
] | 
	dict([x.split('=') for x in s.split()]) | 
	conala | 
| 
	12168648-98 | 
	add a column 'new_col' to dataframe `df` for index in range | 
	df['new_col'] = list(range(1, len(df) + 1)) | 
	[
  "python.library.functions#len",
  "python.library.functions#range",
  "python.library.functions#list"
] | 
	VAR_STR['VAR_STR'] = list(range(1, len(VAR_STR) + 1)) | 
	conala | 
| 
	1790520-32 | 
	apply logical operator 'AND' to all elements in list `a_list` | 
	all(a_list) | 
	[
  "python.library.functions#all"
] | 
	all(VAR_STR) | 
	conala | 
| 
	32996293-30 | 
	get a list of booleans `z` that shows wether the corresponding items in list `x` and `y` are equal | 
	z = [(i == j) for i, j in zip(x, y)] | 
	[
  "python.library.functions#zip"
] | 
	VAR_STR = [(i == j) for i, j in zip(VAR_STR, VAR_STR)] | 
	conala | 
| 
	32996293-89 | 
	create a list which indicates whether each element in `x` and `y` is identical | 
	[(x[i] == y[i]) for i in range(len(x))] | 
	[
  "python.library.functions#len",
  "python.library.functions#range"
] | 
	[(VAR_STR[i] == VAR_STR[i]) for i in range(len(VAR_STR))] | 
	conala | 
| 
	3887469-9 | 
	convert currency string `dollars` to decimal `cents_int` | 
	cents_int = int(round(float(dollars.strip('$')) * 100)) | 
	[
  "python.library.functions#float",
  "python.library.functions#int",
  "python.library.functions#round",
  "python.library.stdtypes#str.strip"
] | 
	VAR_STR = int(round(float(VAR_STR.strip('$')) * 100)) | 
	conala | 
| 
	17734779-42 | 
	sort list `users` using values associated with key 'id' according to elements in list `order` | 
	users.sort(key=lambda x: order.index(x['id'])) | 
	[
  "pandas.reference.api.pandas.index.sort"
] | 
	VAR_STR.sort(key=lambda x: VAR_STR.index(x['VAR_STR'])) | 
	conala | 
| 
	17734779-50 | 
	sort a python list of dictionaries `users` by a given list `order` of ids 'id' with the desired order | 
	users.sort(key=lambda x: order.index(x['id'])) | 
	[
  "pandas.reference.api.pandas.index.sort"
] | 
	VAR_STR.sort(key=lambda x: VAR_STR.index(x['VAR_STR'])) | 
	conala | 
| 
	7658932-91 | 
	Get all indexes of a letter `e` from a string `word` | 
	[index for index, letter in enumerate(word) if letter == 'e'] | 
	[
  "python.library.functions#enumerate"
] | 
	[index for index, letter in enumerate(VAR_STR) if letter == 'VAR_STR'] | 
	conala | 
| 
	18609153-66 | 
	format parameters 'b' and 'a' into plcaeholders in string "{0}\\w{{2}}b{1}\\w{{2}}quarter" | 
	"""{0}\\w{{2}}b{1}\\w{{2}}quarter""".format('b', 'a') | 
	[
  "python.library.functions#format"
] | 
	"""VAR_STR""".format('VAR_STR', 'VAR_STR') | 
	conala | 
| 
	845058-51 | 
	get line count of file 'myfile.txt' | 
	sum((1 for line in open('myfile.txt'))) | 
	[
  "python.library.functions#sum",
  "python.library.urllib.request#open"
] | 
	sum(1 for line in open('VAR_STR')) | 
	conala | 
| 
	845058-70 | 
	get line count of file `filename` | 
	def bufcount(filename):
    f = open(filename)
    lines = 0
    buf_size = (1024 * 1024)
    read_f = f.read
    buf = read_f(buf_size)
    while buf:
        lines += buf.count('\n')
        buf = read_f(buf_size)
    return lines | 
	[
  "python.library.urllib.request#open"
] | 
	def bufcount(VAR_STR):
    f = open(VAR_STR)
    lines = 0
    buf_size = 1024 * 1024
    read_f = f.read
    buf = read_f(buf_size)
    while buf:
        lines += buf.count('\n')
        buf = read_f(buf_size)
    return lines | 
	conala | 
| 
	6714826-24 | 
	Determine the byte length of a utf-8 encoded string `s` | 
	return len(s.encode('utf-8')) | 
	[
  "python.library.functions#len",
  "python.library.stdtypes#str.encode"
] | 
	return len(VAR_STR.encode('utf-8')) | 
	conala | 
| 
	5373474-77 | 
	specify multiple positional arguments with argparse | 
	parser.add_argument('input', nargs='+') | 
	[
  "python.library.argparse#argparse.ArgumentParser.add_argument"
] | 
	parser.add_argument('input', nargs='+') | 
	conala | 
| 
	28925267-60 | 
	delete every 8th column in a numpy array 'a'. | 
	np.delete(a, list(range(0, a.shape[1], 8)), axis=1) | 
	[
  "numpy.reference.generated.numpy.delete",
  "python.library.functions#range",
  "python.library.functions#list"
] | 
	np.delete(VAR_STR, list(range(0, VAR_STR.shape[1], 8)), axis=1) | 
	conala | 
| 
	3878555-86 | 
	Replace repeated instances of a character '*' with a single instance in a string 'text' | 
	re.sub('\\*\\*+', '*', text) | 
	[
  "python.library.re#re.sub"
] | 
	re.sub('\\*\\*+', 'VAR_STR', VAR_STR) | 
	conala | 
| 
	3878555-86 | 
	replace repeated instances of "*" with a single instance of "*" | 
	re.sub('\\*+', '*', text) | 
	[
  "python.library.re#re.sub"
] | 
	re.sub('\\*+', 'VAR_STR', text) | 
	conala | 
| 
	23145240-59 | 
	split elements of a list `l` by '\t' | 
	[i.partition('\t')[-1] for i in l if '\t' in i] | 
	[
  "python.library.stdtypes#str.partition"
] | 
	[i.partition('VAR_STR')[-1] for i in VAR_STR if 'VAR_STR' in i] | 
	conala | 
| 
	1731346-40 | 
	get two random records from model 'MyModel' in Django | 
	MyModel.objects.order_by('?')[:2] | 
	[] | 
	VAR_STR.objects.order_by('?')[:2] | 
	conala | 
| 
	317413-56 | 
	get value of first child of xml node `name` | 
	name[0].firstChild.nodeValue | 
	[] | 
	VAR_STR[0].firstChild.nodeValue | 
	conala | 
| 
	10618586-67 | 
	Convert a hex string `437c2123 ` according to ascii value. | 
	"""437c2123""".decode('hex') | 
	[
  "python.library.stdtypes#bytearray.decode"
] | 
	"""VAR_STR""".decode('hex') | 
	conala | 
| 
	2755950-13 | 
	Get all `a` tags where the text starts with value `some text` using regex | 
	doc.xpath("//a[starts-with(text(),'some text')]") | 
	[] | 
	doc.xpath("//a[starts-with(text(),'some text')]") | 
	conala | 
| 
	10974932-69 | 
	split string `str1` on one or more spaces with a regular expression | 
	re.split(' +', str1) | 
	[
  "python.library.re#re.split"
] | 
	re.split(' +', VAR_STR) | 
	conala | 
| 
	10974932-59 | 
	python split string based on regular expression | 
	re.findall('\\S+', str1) | 
	[
  "python.library.re#re.findall"
] | 
	re.findall('\\S+', str1) | 
	conala | 
| 
	3774571-10 | 
	BeautifulSoup find all tags with attribute 'name' equal to 'description' | 
	soup.findAll(attrs={'name': 'description'}) | 
	[
  "python.library.re#re.findall"
] | 
	soup.findAll(attrs={'VAR_STR': 'VAR_STR'}) | 
	conala | 
| 
	23566515-25 | 
	get the dot product of two one dimensional numpy arrays | 
	np.dot(a[:, (None)], b[(None), :]) | 
	[
  "numpy.reference.generated.numpy.dot"
] | 
	np.dot(a[:, (None)], b[(None), :]) | 
	conala | 
| 
	23566515-22 | 
	multiplication of two 1-dimensional arrays  in numpy | 
	np.outer(a, b) | 
	[
  "numpy.reference.generated.numpy.outer"
] | 
	np.outer(a, b) | 
	conala | 
| 
	8785554-77 | 
	insert a list `k` at the front of list `a` | 
	a.insert(0, k) | 
	[
  "numpy.reference.generated.numpy.insert"
] | 
	VAR_STR.insert(0, VAR_STR) | 
	conala | 
| 
	8785554-42 | 
	insert elements of list `k` into list `a` at position `n` | 
	a = a[:n] + k + a[n:] | 
	[] | 
	VAR_STR = VAR_STR[:VAR_STR] + VAR_STR + VAR_STR[VAR_STR:] | 
	conala | 
| 
	17106819-22 | 
	get values from a dictionary `my_dict` whose key contains the string `Date` | 
	[v for k, v in list(my_dict.items()) if 'Date' in k] | 
	[
  "python.library.functions#list",
  "python.library.stdtypes#dict.items"
] | 
	[v for k, v in list(VAR_STR.items()) if 'VAR_STR' in k] | 
	conala | 
| 
	9969684-48 | 
	Print variable `count` and variable `conv` with space string '    ' in between | 
	print(str(count) + '    ' + str(conv)) | 
	[
  "python.library.stdtypes#str"
] | 
	print(str(VAR_STR) + '    ' + str(VAR_STR)) | 
	conala | 
| 
	10805589-34 | 
	convert JSON string '2012-05-29T19:30:03.283Z' into a DateTime object using format '%Y-%m-%dT%H:%M:%S.%fZ' | 
	datetime.datetime.strptime('2012-05-29T19:30:03.283Z', '%Y-%m-%dT%H:%M:%S.%fZ') | 
	[
  "python.library.datetime#datetime.datetime.strptime"
] | 
	datetime.datetime.strptime('VAR_STR', 'VAR_STR') | 
	conala | 
| 
	17577727-88 | 
	decode string `content` to UTF-8 code | 
	print(content.decode('utf8')) | 
	[
  "python.library.stdtypes#bytearray.decode"
] | 
	print(VAR_STR.decode('utf8')) | 
	conala | 
| 
	17757450-20 | 
	convert list `data` into a string of its elements | 
	print(''.join(map(str, data))) | 
	[
  "python.library.functions#map",
  "python.library.stdtypes#str.join"
] | 
	print(''.join(map(str, VAR_STR))) | 
	conala | 
| 
	11584773-84 | 
	sort list `lst` in descending order based on the second item of each tuple in it | 
	lst.sort(key=lambda x: x[2], reverse=True) | 
	[
  "python.library.stdtypes#list.sort"
] | 
	VAR_STR.sort(key=lambda x: x[2], reverse=True) | 
	conala | 
| 
	20078816-77 | 
	Replace non-ASCII characters in string `text` with a single space | 
	re.sub('[^\\x00-\\x7F]+', ' ', text) | 
	[
  "python.library.re#re.sub"
] | 
	re.sub('[^\\x00-\\x7F]+', ' ', VAR_STR) | 
	conala | 
| 
	34338341-12 | 
	get all digits in a string `s` after a '[' character | 
	re.findall('\\d+(?=[^[]+$)', s) | 
	[
  "python.library.re#re.findall"
] | 
	re.findall('\\d+(?=[^[]+$)', VAR_STR) | 
	conala | 
| 
	38251245-5 | 
	create a list of tuples which contains number 9 and the number before it, for each occurrence of 9 in the list 'myList' | 
	[(x, y) for x, y in zip(myList, myList[1:]) if y == 9] | 
	[
  "python.library.functions#zip"
] | 
	[(x, y) for x, y in zip(VAR_STR, VAR_STR[1:]) if y == 9] | 
	conala | 
| 
	2186656-7 | 
	remove all instances of [1, 1] from list `a` | 
	a[:] = [x for x in a if x != [1, 1]] | 
	[] | 
	VAR_STR[:] = [x for x in VAR_STR if x != [1, 1]] | 
	conala | 
| 
	2186656-86 | 
	remove all instances of `[1, 1]` from a list `a` | 
	[x for x in a if x != [1, 1]] | 
	[] | 
	[x for x in VAR_STR if x != [VAR_STR]] | 
	conala | 
| 
	716477-33 | 
	Convert nested list `x` into a flat list | 
	[j for i in x for j in i] | 
	[] | 
	[j for i in VAR_STR for j in i] | 
	conala | 
| 
	716477-54 | 
	get each value from a list of lists `a` using itertools | 
	print(list(itertools.chain.from_iterable(a))) | 
	[
  "python.library.itertools#itertools.chain.from_iterable",
  "python.library.functions#list"
] | 
	print(list(itertools.chain.from_iterable(VAR_STR))) | 
	conala | 
| 
	2917372-41 | 
	get the indices of tuples in list of tuples `L` where the first value is 53 | 
	[i for i, v in enumerate(L) if v[0] == 53] | 
	[
  "python.library.functions#enumerate"
] | 
	[i for i, v in enumerate(VAR_STR) if v[0] == 53] | 
	conala | 
| 
	5882405-43 | 
	convert string '2011221' into a DateTime object using format '%Y%W%w' | 
	datetime.strptime('2011221', '%Y%W%w') | 
	[
  "python.library.datetime#datetime.datetime.strptime"
] | 
	datetime.strptime('VAR_STR', 'VAR_STR') | 
	conala | 
| 
	4627981-39 | 
	Create a dictionary from string `e` separated by `-` and `,` | 
	dict((k, int(v)) for k, v in (e.split(' - ') for e in s.split(','))) | 
	[
  "python.library.functions#int",
  "python.library.stdtypes#dict",
  "python.library.stdtypes#str.split"
] | 
	dict((k, int(v)) for k, v in (VAR_STR.split(' - ') for VAR_STR in s.split('VAR_STR'))
    ) | 
	conala | 
| 
	24492327-75 | 
	insert directory './path/to/your/modules/' to current directory | 
	sys.path.insert(0, './path/to/your/modules/') | 
	[
  "numpy.reference.generated.numpy.insert"
] | 
	sys.path.insert(0, 'VAR_STR') | 
	conala | 
| 
	17608210-91 | 
	Sort a list of strings 'words' such that items starting with 's' come first. | 
	sorted(words, key=lambda x: 'a' + x if x.startswith('s') else 'b' + x) | 
	[
  "python.library.functions#sorted",
  "python.library.stdtypes#str.startswith"
] | 
	sorted(VAR_STR, key=lambda x: 'a' + x if x.startswith('VAR_STR') else 'b' + x) | 
	conala | 
| 
	21804935-73 | 
	execute a mv command `mv /home/somedir/subdir/* somedir/` in subprocess | 
	subprocess.call('mv /home/somedir/subdir/* somedir/', shell=True) | 
	[
  "python.library.subprocess#subprocess.call"
] | 
	subprocess.call('VAR_STR', shell=True) | 
	conala | 
| 
	21804935-87 | 
	How to use the mv command in Python with subprocess | 
	subprocess.call('mv /home/somedir/subdir/* somedir/', shell=True) | 
	[
  "python.library.subprocess#subprocess.call"
] | 
	subprocess.call('mv /home/somedir/subdir/* somedir/', shell=True) | 
	conala | 
| 
	40273313-48 | 
	use regex pattern '^12(?=.{4}$)' to remove digit 12 if followed by 4 other digits in column `c_contofficeID` of dataframe `df` | 
	df.c_contofficeID.str.replace('^12(?=.{4}$)', '') | 
	[
  "pandas.reference.api.pandas.dataframe.replace"
] | 
	VAR_STR.VAR_STR.str.replace('VAR_STR', '') | 
	conala | 
| 
	30015665-50 | 
	get the platform OS name | 
	platform.system() | 
	[
  "python.library.platform#platform.system"
] | 
	platform.system() | 
	conala | 
| 
	31650399-37 | 
	find all digits between two characters `\xab` and `\xbb`in a string `text` | 
	print(re.findall('\\d+', '\n'.join(re.findall('\xab([\\s\\S]*?)\xbb', text)))) | 
	[
  "python.library.re#re.findall",
  "python.library.stdtypes#str.join"
] | 
	print(re.findall('\\d+', '\n'.join(re.findall('«([\\s\\S]*?)»', VAR_STR)))) | 
	conala | 
| 
	8898294-36 | 
	convert utf-8 with bom string `s` to utf-8 with no bom `u` | 
	u = s.decode('utf-8-sig') | 
	[
  "python.library.stdtypes#bytearray.decode"
] | 
	VAR_STR = VAR_STR.decode('utf-8-sig') | 
	conala | 
| 
	11174790-90 | 
	convert unicode string '\xd0\xbc\xd0\xb0\xd1\x80\xd0\xba\xd0\xb0' to byte string | 
	'\xd0\xbc\xd0\xb0\xd1\x80\xd0\xba\xd0\xb0'.encode('latin-1') | 
	[
  "python.library.stdtypes#str.encode"
] | 
	"""VAR_STR""".encode('latin-1') | 
	conala | 
| 
	4843158-40 | 
	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] | 
	[] | 
	matching = [s for s in VAR_STR if 'VAR_STR' in s] | 
	conala | 
| 
	4605439-78 | 
	swap each pair of characters in string `s` | 
	"""""".join([s[x:x + 2][::-1] for x in range(0, len(s), 2)]) | 
	[
  "python.library.functions#len",
  "python.library.functions#range",
  "python.library.stdtypes#str.join"
] | 
	"""""".join([VAR_STR[x:x + 2][::-1] for x in range(0, len(VAR_STR), 2)]) | 
	conala | 
| 
	7503241-31 | 
	django return a QuerySet list containing the values of field 'eng_name' in model `Employees` | 
	Employees.objects.values_list('eng_name', flat=True) | 
	[] | 
	VAR_STR.objects.values_list('VAR_STR', flat=True) | 
	conala | 
| 
	11280536-19 | 
	sum elements at the same index of each list in list `lists` | 
	map(sum, zip(*lists)) | 
	[
  "python.library.functions#zip",
  "python.library.functions#map"
] | 
	map(sum, zip(*VAR_STR)) | 
	conala | 
| 
	899103-24 | 
	writing items in list `thelist` to file `thefile` | 
	for item in thelist:
    thefile.write(('%s\n' % item)) | 
	[
  "python.library.os#os.write"
] | 
	for item in VAR_STR:
    VAR_STR.write('%s\n' % item) | 
	conala | 
| 
	899103-78 | 
	writing items in list `thelist` to file `thefile` | 
	for item in thelist:
    pass | 
	[] | 
	for item in VAR_STR:
    pass | 
	conala | 
| 
	899103-57 | 
	serialize `itemlist` to file `outfile` | 
	pickle.dump(itemlist, outfile) | 
	[
  "python.library.pickle#pickle.dump"
] | 
	pickle.dump(VAR_STR, VAR_STR) | 
	conala | 
| 
	899103-77 | 
	writing items in list `itemlist` to file `outfile` | 
	outfile.write('\n'.join(itemlist)) | 
	[
  "python.library.stdtypes#str.join",
  "python.library.os#os.write"
] | 
	VAR_STR.write('\n'.join(VAR_STR)) | 
	conala | 
| 
	13295735-56 | 
	replace all the nan values with 0 in a pandas dataframe `df` | 
	df.fillna(0) | 
	[
  "pandas.reference.api.pandas.dataframe.fillna"
] | 
	VAR_STR.fillna(0) | 
	conala | 
| 
	12575421-53 | 
	convert a 1d `A` array to a 2d array `B` | 
	B = np.reshape(A, (-1, 2)) | 
	[
  "numpy.reference.generated.numpy.reshape"
] | 
	VAR_STR = np.reshape(VAR_STR, (-1, 2)) | 
	conala | 
| 
	23612271-34 | 
	a sequence of empty lists of length `n` | 
	[[] for _ in range(n)] | 
	[
  "python.library.functions#range"
] | 
	[[] for _ in range(VAR_STR)] | 
	conala | 
| 
	10592674-55 | 
	update a list `l1` dictionaries with a key `count` and value from list `l2` | 
	[dict(d, count=n) for d, n in zip(l1, l2)] | 
	[
  "python.library.functions#zip",
  "python.library.stdtypes#dict"
] | 
	[dict(d, VAR_STR=n) for d, n in zip(VAR_STR, VAR_STR)] | 
	conala | 
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