question_id
stringlengths 7
12
| nl
stringlengths 4
200
| cmd
stringlengths 2
232
| oracle_man
sequence | canonical_cmd
stringlengths 2
228
| cmd_name
stringclasses 1
value |
|---|---|---|---|---|---|
406121-90 | flatten list `list_of_menuitems` | [image for menuitem in list_of_menuitems for image in menuitem] | [] | [image for menuitem in VAR_STR for image in menuitem] | conala |
4741537-60 | append elements of a set `b` to a list `a` | a.extend(b) | [
"python.library.collections#collections.deque.extend"
] | VAR_STR.extend(VAR_STR) | conala |
4741537-84 | Append elements of a set to a list in Python | a.extend(list(b)) | [
"python.library.functions#list",
"python.library.collections#collections.deque.extend"
] | a.extend(list(b)) | conala |
17438096-75 | upload file using FTP | ftp.storlines('STOR ' + filename, open(filename, 'r')) | [
"python.library.urllib.request#open",
"python.library.ftplib#ftplib.FTP.storlines"
] | ftp.storlines('STOR ' + filename, open(filename, 'r')) | conala |
15049182-63 | add one to the hidden web element with id 'XYZ' with selenium python script | browser.execute_script("document.getElementById('XYZ').value+='1'") | [] | browser.execute_script("document.getElementById('XYZ').value+='1'") | conala |
28742436-20 | create array containing the maximum value of respective elements of array `[2, 3, 4]` and array `[1, 5, 2]` | np.maximum([2, 3, 4], [1, 5, 2]) | [
"numpy.reference.generated.numpy.maximum"
] | np.maximum([VAR_STR], [VAR_STR]) | conala |
34280147-9 | print a list `l` and move first 3 elements to the end of the list | print(l[3:] + l[:3]) | [] | print(VAR_STR[3:] + VAR_STR[:3]) | conala |
11801309-71 | loop over files in directory '.' | for fn in os.listdir('.'):
if os.path.isfile(fn):
pass | [
"python.library.os.path#os.path.isfile",
"python.library.os#os.listdir"
] | for fn in os.listdir('VAR_STR'):
if os.path.isfile(fn):
pass | conala |
11801309-27 | loop over files in directory `source` | for (root, dirs, filenames) in os.walk(source):
for f in filenames:
pass | [
"python.library.os#os.walk"
] | for root, dirs, filenames in os.walk(VAR_STR):
for f in filenames:
pass | conala |
852055-44 | Google App Engine execute GQL query 'SELECT * FROM Schedule WHERE station = $1' with parameter `foo.key()` | db.GqlQuery('SELECT * FROM Schedule WHERE station = $1', foo.key()) | [
"python.library.zoneinfo#zoneinfo.ZoneInfo.key"
] | db.GqlQuery('VAR_STR', foo.key()) | conala |
15325182-98 | filter rows in pandas starting with alphabet 'f' using regular expression. | df.b.str.contains('^f') | [
"pandas.reference.api.pandas.series.str.contains"
] | df.b.str.contains('^f') | conala |
38535931-67 | pandas: delete rows in dataframe `df` based on multiple columns values | df.set_index(list('BC')).drop(tuples, errors='ignore').reset_index() | [
"pandas.reference.api.pandas.dataframe.set_index",
"python.library.functions#list",
"pandas.reference.api.pandas.dataframe.reset_index",
"pandas.reference.api.pandas.dataframe.drop"
] | VAR_STR.set_index(list('BC')).drop(tuples, errors='ignore').reset_index() | conala |
13945749-18 | format the variables `self.goals` and `self.penalties` using string formatting | """({:d} goals, ${:d})""".format(self.goals, self.penalties) | [
"python.library.functions#format"
] | """({:d} goals, ${:d})""".format(self.goals, self.penalties) | conala |
13945749-85 | format string "({} goals, ${})" with variables `goals` and `penalties` | """({} goals, ${})""".format(self.goals, self.penalties) | [
"python.library.functions#format"
] | """VAR_STR""".format(self.VAR_STR, self.VAR_STR) | conala |
13945749-39 | format string "({0.goals} goals, ${0.penalties})" | """({0.goals} goals, ${0.penalties})""".format(self) | [
"python.library.functions#format"
] | """VAR_STR""".format(self) | conala |
18524642-58 | convert list of lists `L` to list of integers | [int(''.join(str(d) for d in x)) for x in L] | [
"python.library.functions#int",
"python.library.stdtypes#str",
"python.library.stdtypes#str.join"
] | [int(''.join(str(d) for d in x)) for x in VAR_STR] | conala |
18524642-5 | combine elements of each list in list `L` into digits of a single integer | [''.join(str(d) for d in x) for x in L] | [
"python.library.stdtypes#str",
"python.library.stdtypes#str.join"
] | [''.join(str(d) for d in x) for x in VAR_STR] | conala |
18524642-53 | convert a list of lists `L` to list of integers | L = [int(''.join([str(y) for y in x])) for x in L] | [
"python.library.functions#int",
"python.library.stdtypes#str",
"python.library.stdtypes#str.join"
] | VAR_STR = [int(''.join([str(y) for y in x])) for x in VAR_STR] | conala |
7138686-35 | write the elements of list `lines` concatenated by special character '\n' to file `myfile` | myfile.write('\n'.join(lines)) | [
"python.library.stdtypes#str.join",
"python.library.os#os.write"
] | VAR_STR.write('VAR_STR'.join(VAR_STR)) | conala |
1866343-84 | removing an element from a list based on a predicate 'X' or 'N' | [x for x in ['AAT', 'XAC', 'ANT', 'TTA'] if 'X' not in x and 'N' not in x] | [] | [x for x in ['AAT', 'XAC', 'ANT', 'TTA'] if 'VAR_STR' not in x and 'VAR_STR' not in
x] | conala |
17238587-5 | Remove duplicate words from a string `text` using regex | text = re.sub('\\b(\\w+)( \\1\\b)+', '\\1', text) | [
"python.library.re#re.sub"
] | VAR_STR = re.sub('\\b(\\w+)( \\1\\b)+', '\\1', VAR_STR) | conala |
15534223-34 | search for string that matches regular expression pattern '(?<!Distillr)\\\\AcroTray\\.exe' in string 'C:\\SomeDir\\AcroTray.exe' | re.search('(?<!Distillr)\\\\AcroTray\\.exe', 'C:\\SomeDir\\AcroTray.exe') | [
"python.library.re#re.search"
] | re.search('VAR_STR', 'VAR_STR') | conala |
5453026-19 | split string 'QH QD JC KD JS' into a list on white spaces | """QH QD JC KD JS""".split() | [
"python.library.stdtypes#str.split"
] | """VAR_STR""".split() | conala |
18168684-38 | search for occurrences of regex pattern '>.*<' in xml string `line` | print(re.search('>.*<', line).group(0)) | [
"python.library.re#re.search",
"python.library.re#re.Match.group"
] | print(re.search('VAR_STR', VAR_STR).group(0)) | conala |
4914277-19 | erase all the contents of a file `filename` | open(filename, 'w').close() | [
"python.library.urllib.request#open"
] | open(VAR_STR, 'w').close() | conala |
19068269-99 | convert a string into datetime using the format '%Y-%m-%d %H:%M:%S.%f' | datetime.datetime.strptime(string_date, '%Y-%m-%d %H:%M:%S.%f') | [
"python.library.datetime#datetime.datetime.strptime"
] | datetime.datetime.strptime(string_date, 'VAR_STR') | conala |
20683167-59 | find the index of a list with the first element equal to '332' within the list of lists `thelist` | [index for index, item in enumerate(thelist) if item[0] == '332'] | [
"python.library.functions#enumerate"
] | [index for index, item in enumerate(VAR_STR) if item[0] == 'VAR_STR'] | conala |
17138464-49 | subscript text 'H20' with '2' as subscripted in matplotlib labels for arrays 'x' and 'y'. | plt.plot(x, y, label='H\u2082O') | [
"pandas.reference.api.pandas.dataframe.plot"
] | plt.plot(VAR_STR, VAR_STR, label='H₂O') | conala |
17138464-97 | subscript text 'H20' with '2' as subscripted in matplotlib labels for arrays 'x' and 'y'. | plt.plot(x, y, label='$H_2O$') | [
"pandas.reference.api.pandas.dataframe.plot"
] | plt.plot(VAR_STR, VAR_STR, label='$H_2O$') | conala |
9138112-44 | loop over a list `mylist` if sublists length equals 3 | [x for x in mylist if len(x) == 3] | [
"python.library.functions#len"
] | [x for x in VAR_STR if len(x) == 3] | conala |
1807026-63 | initialize a list `lst` of 100 objects Object() | lst = [Object() for _ in range(100)] | [
"python.library.functions#range",
"python.library.functions#object"
] | VAR_STR = [Object() for _ in range(100)] | conala |
1807026-43 | create list `lst` containing 100 instances of object `Object` | lst = [Object() for i in range(100)] | [
"python.library.functions#range",
"python.library.functions#object"
] | VAR_STR = [VAR_STR() for i in range(100)] | conala |
19664253-74 | get the content of child tag with`href` attribute whose parent has css `someclass` | self.driver.find_element_by_css_selector('.someclass a').get_attribute('href') | [
"python.library.test#test.support.get_attribute"
] | self.driver.find_element_by_css_selector('.someclass a').get_attribute('VAR_STR') | conala |
13793321-59 | joining data from dataframe `df1` with data from dataframe `df2` based on matching values of column 'Date_Time' in both dataframes | df1.merge(df2, on='Date_Time') | [
"pandas.reference.api.pandas.merge"
] | VAR_STR.merge(VAR_STR, on='VAR_STR') | conala |
3367288-60 | use `%s` operator to print variable values `str1` inside a string | 'first string is: %s, second one is: %s' % (str1, 'geo.tif') | [] | 'first string is: %s, second one is: %s' % (VAR_STR, 'geo.tif') | conala |
3475251-5 | Split a string by a delimiter in python | [x.strip() for x in '2.MATCHES $$TEXT$$ STRING'.split('$$TEXT$$')] | [
"python.library.stdtypes#str.strip",
"python.library.stdtypes#str.split"
] | [x.strip() for x in '2.MATCHES $$TEXT$$ STRING'.split('$$TEXT$$')] | conala |
273192-100 | check if directory `directory ` exists and create it if necessary | if (not os.path.exists(directory)):
os.makedirs(directory) | [
"python.library.os.path#os.path.exists",
"python.library.os#os.makedirs"
] | if not os.path.exists(VAR_STR):
os.makedirs(VAR_STR) | conala |
273192-60 | check if a directory `path` exists and create it if necessary | try:
os.makedirs(path)
except OSError:
if (not os.path.isdir(path)):
raise | [
"python.library.os.path#os.path.isdir",
"python.library.os#os.makedirs"
] | try:
os.makedirs(VAR_STR)
except OSError:
if not os.VAR_STR.isdir(VAR_STR):
raise | conala |
273192-76 | check if a directory `path` exists and create it if necessary | distutils.dir_util.mkpath(path) | [] | distutils.dir_util.mkpath(VAR_STR) | conala |
273192-21 | check if a directory `path` exists and create it if necessary | try:
os.makedirs(path)
except OSError as exception:
if (exception.errno != errno.EEXIST):
raise | [
"python.library.os#os.makedirs"
] | try:
os.makedirs(VAR_STR)
except OSError as exception:
if exception.errno != errno.EEXIST:
raise | conala |
18785032-56 | Replace a separate word 'H3' by 'H1' in a string 'text' | re.sub('\\bH3\\b', 'H1', text) | [
"python.library.re#re.sub"
] | re.sub('\\bH3\\b', 'VAR_STR', VAR_STR) | conala |
1450897-93 | substitute ASCII letters in string 'aas30dsa20' with empty string '' | re.sub('\\D', '', 'aas30dsa20') | [
"python.library.re#re.sub"
] | re.sub('\\D', 'VAR_STR', 'VAR_STR') | conala |
1450897-99 | get digits only from a string `aas30dsa20` using lambda function | """""".join([x for x in 'aas30dsa20' if x.isdigit()]) | [
"python.library.stdtypes#str.isdigit",
"python.library.stdtypes#str.join"
] | """""".join([x for x in 'VAR_STR' if x.isdigit()]) | conala |
4928274-56 | get a dictionary `records` of key-value pairs in PyMongo cursor `cursor` | records = dict((record['_id'], record) for record in cursor) | [
"python.library.stdtypes#dict"
] | VAR_STR = dict((record['_id'], record) for record in VAR_STR) | conala |
20180210-37 | Create new matrix object by concatenating data from matrix A and matrix B | np.concatenate((A, B)) | [
"numpy.reference.generated.numpy.concatenate"
] | np.concatenate((A, B)) | conala |
20180210-35 | concat two matrices `A` and `B` in numpy | np.vstack((A, B)) | [
"numpy.reference.generated.numpy.vstack"
] | np.vstack((VAR_STR, VAR_STR)) | conala |
1555968-67 | find the key associated with the largest value in dictionary `x` whilst key is non-zero value | max(k for k, v in x.items() if v != 0) | [
"python.library.functions#max",
"python.library.stdtypes#dict.items"
] | max(k for k, v in VAR_STR.items() if v != 0) | conala |
1555968-13 | get the largest key whose not associated with value of 0 in dictionary `x` | (k for k, v in x.items() if v != 0) | [
"python.library.stdtypes#dict.items"
] | (k for k, v in VAR_STR.items() if v != 0) | conala |
1555968-62 | get the largest key in a dictionary `x` with non-zero value | max(k for k, v in x.items() if v != 0) | [
"python.library.functions#max",
"python.library.stdtypes#dict.items"
] | max(k for k, v in VAR_STR.items() if v != 0) | conala |
17021863-48 | Put the curser at beginning of the file | file.seek(0) | [
"python.library.io#io.IOBase.seek"
] | file.seek(0) | conala |
4175686-32 | remove key 'ele' from dictionary `d` | del d['ele'] | [] | del VAR_STR['VAR_STR'] | conala |
5871168-82 | Update datetime field in `MyModel` to be the existing `timestamp` plus 100 years | MyModel.objects.update(timestamp=F('timestamp') + timedelta(days=36524.25)) | [
"pandas.reference.api.pandas.timedelta",
"python.library.turtle#turtle.update"
] | VAR_STR.objects.update(VAR_STR=F('VAR_STR') + timedelta(days=36524.25)) | conala |
11574195-24 | merge list `['it']` and list `['was']` and list `['annoying']` into one list | ['it'] + ['was'] + ['annoying'] | [] | [VAR_STR] + [VAR_STR] + [VAR_STR] | conala |
587647-44 | increment a value with leading zeroes in a number `x` | str(int(x) + 1).zfill(len(x)) | [
"python.library.functions#len",
"python.library.functions#int",
"python.library.stdtypes#str",
"python.library.stdtypes#str.zfill"
] | str(int(VAR_STR) + 1).zfill(len(VAR_STR)) | conala |
17315881-13 | check if a pandas dataframe `df`'s index is sorted | all(df.index[:-1] <= df.index[1:]) | [
"python.library.functions#all"
] | all(VAR_STR.index[:-1] <= VAR_STR.index[1:]) | conala |
14695134-57 | insert data from a string `testfield` to sqlite db `c` | c.execute("INSERT INTO test VALUES (?, 'bar')", (testfield,)) | [
"python.library.msilib#msilib.View.Execute"
] | VAR_STR.execute("INSERT INTO test VALUES (?, 'bar')", (VAR_STR,)) | conala |
24242433-92 | decode string "\\x89\\n" into a normal string | """\\x89\\n""".decode('string_escape') | [
"python.library.stdtypes#bytearray.decode"
] | """VAR_STR""".decode('string_escape') | conala |
24242433-9 | convert a raw string `raw_string` into a normal string | raw_string.decode('string_escape') | [
"python.library.stdtypes#bytearray.decode"
] | VAR_STR.decode('string_escape') | conala |
24242433-10 | convert a raw string `raw_byte_string` into a normal string | raw_byte_string.decode('unicode_escape') | [
"python.library.stdtypes#bytearray.decode"
] | VAR_STR.decode('unicode_escape') | conala |
22882922-50 | split a string `s` with into all strings of repeated characters | [m.group(0) for m in re.finditer('(\\d)\\1*', s)] | [
"python.library.re#re.finditer",
"python.library.re#re.Match.group"
] | [m.group(0) for m in re.finditer('(\\d)\\1*', VAR_STR)] | conala |
4143502-27 | scatter a plot with x, y position of `np.random.randn(100)` and face color equal to none | plt.scatter(np.random.randn(100), np.random.randn(100), facecolors='none') | [
"numpy.reference.random.generated.numpy.random.randn"
] | plt.scatter(np.random.randn(100), np.random.randn(100), facecolors='none') | conala |
4143502-6 | do a scatter plot with empty circles | plt.plot(np.random.randn(100), np.random.randn(100), 'o', mfc='none') | [
"numpy.reference.random.generated.numpy.random.randn"
] | plt.plot(np.random.randn(100), np.random.randn(100), 'o', mfc='none') | conala |
27975069-4 | filter rows containing key word `ball` in column `ids` | df[df['ids'].str.contains('ball')] | [
"pandas.reference.api.pandas.series.str.contains"
] | df[df['VAR_STR'].str.contains('VAR_STR')] | conala |
20461165-28 | convert index at level 0 into a column in dataframe `df` | df.reset_index(level=0, inplace=True) | [
"pandas.reference.api.pandas.dataframe.reset_index"
] | VAR_STR.reset_index(level=0, inplace=True) | conala |
20461165-64 | Add indexes in a data frame `df` to a column `index1` | df['index1'] = df.index | [] | VAR_STR['VAR_STR'] = VAR_STR.index | conala |
20461165-11 | convert pandas index in a dataframe to columns | df.reset_index(level=['tick', 'obs']) | [
"pandas.reference.api.pandas.dataframe.reset_index"
] | df.reset_index(level=['tick', 'obs']) | conala |
4685571-89 | Get reverse of list items from list 'b' using extended slicing | [x[::-1] for x in b] | [] | [x[::-1] for x in VAR_STR] | conala |
438684-58 | convert list `list_of_ints` into a comma separated string | """,""".join([str(i) for i in list_of_ints]) | [
"python.library.stdtypes#str",
"python.library.stdtypes#str.join"
] | """,""".join([str(i) for i in VAR_STR]) | conala |
8519922-8 | Send a post request with raw data `DATA` and basic authentication with `username` and `password` | requests.post(url, data=DATA, headers=HEADERS_DICT, auth=(username, password)) | [
"pygame.ref.fastevent#pygame.fastevent.post"
] | requests.post(url, data=VAR_STR, headers=HEADERS_DICT, auth=(VAR_STR, VAR_STR)) | conala |
22365172-32 | Iterate ove list `[1, 2, 3]` using list comprehension | print([item for item in [1, 2, 3]]) | [] | print([item for item in [VAR_STR]]) | conala |
12300912-9 | extract all the values with keys 'x' and 'y' from a list of dictionaries `d` to list of tuples | [(x['x'], x['y']) for x in d] | [] | [(VAR_STR['VAR_STR'], VAR_STR['VAR_STR']) for VAR_STR in VAR_STR] | conala |
678236-88 | get the filename without the extension from file 'hemanth.txt' | print(os.path.splitext(os.path.basename('hemanth.txt'))[0]) | [
"python.library.os.path#os.path.basename",
"python.library.os.path#os.path.splitext"
] | print(os.path.splitext(os.path.basename('VAR_STR'))[0]) | conala |
2597166-54 | create a dictionary by adding each two adjacent elements in tuple `x` as key/value pair to it | dict(x[i:i + 2] for i in range(0, len(x), 2)) | [
"python.library.functions#len",
"python.library.functions#range",
"python.library.stdtypes#dict"
] | dict(VAR_STR[i:i + 2] for i in range(0, len(VAR_STR), 2)) | conala |
7895449-25 | create a list containing flattened list `[['A', 'B', 'C'], ['D', 'E', 'F'], ['G', 'H', 'I']]` | values = sum([['A', 'B', 'C'], ['D', 'E', 'F'], ['G', 'H', 'I']], []) | [
"python.library.functions#sum"
] | values = sum([VAR_STR], []) | conala |
31617845-12 | select rows in a dataframe `df` column 'closing_price' between two values 99 and 101 | df = df[(df['closing_price'] >= 99) & (df['closing_price'] <= 101)] | [] | VAR_STR = VAR_STR[(VAR_STR['VAR_STR'] >= 99) & (VAR_STR['VAR_STR'] <= 101)] | conala |
25698710-50 | replace all occurences of newlines `\n` with `<br>` in dataframe `df` | df.replace({'\n': '<br>'}, regex=True) | [
"pandas.reference.api.pandas.dataframe.replace"
] | VAR_STR.replace({'VAR_STR': 'VAR_STR'}, regex=True) | conala |
25698710-24 | replace all occurrences of a string `\n` by string `<br>` in a pandas data frame `df` | df.replace({'\n': '<br>'}, regex=True) | [
"pandas.reference.api.pandas.dataframe.replace"
] | VAR_STR.replace({'VAR_STR': 'VAR_STR'}, regex=True) | conala |
41923858-90 | create a list containing each two adjacent letters in string `word` as its elements | [(x + y) for x, y in zip(word, word[1:])] | [
"python.library.functions#zip"
] | [(x + y) for x, y in zip(VAR_STR, VAR_STR[1:])] | conala |
41923858-58 | Get a list of pairs from a string `word` using lambda function | list(map(lambda x, y: x + y, word[:-1], word[1:])) | [
"python.library.functions#map",
"python.library.functions#list"
] | list(map(lambda x, y: x + y, VAR_STR[:-1], VAR_STR[1:])) | conala |
9760588-64 | extract a url from a string `myString` | print(re.findall('(https?://[^\\s]+)', myString)) | [
"python.library.re#re.findall"
] | print(re.findall('(https?://[^\\s]+)', VAR_STR)) | conala |
9760588-30 | extract a url from a string `myString` | print(re.search('(?P<url>https?://[^\\s]+)', myString).group('url')) | [
"python.library.re#re.search",
"python.library.re#re.Match.group"
] | print(re.search('(?P<url>https?://[^\\s]+)', VAR_STR).group('url')) | conala |
5843518-46 | remove all special characters, punctuation and spaces from a string `mystring` using regex | re.sub('[^A-Za-z0-9]+', '', mystring) | [
"python.library.re#re.sub"
] | re.sub('[^A-Za-z0-9]+', '', VAR_STR) | conala |
36674519-26 | create a DatetimeIndex containing 13 periods of the second friday of each month starting from date '2016-01-01' | pd.date_range('2016-01-01', freq='WOM-2FRI', periods=13) | [
"pandas.reference.api.pandas.date_range"
] | pd.date_range('VAR_STR', freq='WOM-2FRI', periods=13) | conala |
508657-65 | Create multidimensional array `matrix` with 3 rows and 2 columns in python | matrix = [[a, b], [c, d], [e, f]] | [] | VAR_STR = [[a, b], [c, d], [e, f]] | conala |
1007481-89 | replace spaces with underscore | mystring.replace(' ', '_') | [
"python.library.stdtypes#str.replace"
] | mystring.replace(' ', '_') | conala |
51520-53 | get an absolute file path of file 'mydir/myfile.txt' | os.path.abspath('mydir/myfile.txt') | [
"python.library.os.path#os.path.abspath"
] | os.path.abspath('VAR_STR') | conala |
1249786-22 | split string `my_string` on white spaces | """ """.join(my_string.split()) | [
"python.library.stdtypes#str.join",
"python.library.stdtypes#str.split"
] | """ """.join(VAR_STR.split()) | conala |
4444923-74 | get filename without extension from file `filename` | os.path.splitext(filename)[0] | [
"python.library.os.path#os.path.splitext"
] | os.path.splitext(VAR_STR)[0] | conala |
13728486-26 | get a list containing the sum of each element `i` in list `l` plus the previous elements | [sum(l[:i]) for i, _ in enumerate(l)] | [
"python.library.functions#enumerate",
"python.library.functions#sum"
] | [sum(VAR_STR[:VAR_STR]) for VAR_STR, _ in enumerate(VAR_STR)] | conala |
9743134-38 | split a string `Docs/src/Scripts/temp` by `/` keeping `/` in the result | """Docs/src/Scripts/temp""".replace('/', '/\x00/').split('\x00') | [
"python.library.stdtypes#str.replace",
"python.library.stdtypes#str.split"
] | """VAR_STR""".replace('VAR_STR', '/\x00/').split('\x00') | conala |
32675861-45 | copy all values in a column 'B' to a new column 'D' in a pandas data frame 'df' | df['D'] = df['B'] | [] | VAR_STR['VAR_STR'] = VAR_STR['VAR_STR'] | conala |
14227561-68 | find a value within nested json 'data' where the key inside another key 'B' is unknown. | list(data['A']['B'].values())[0]['maindata'][0]['Info'] | [
"python.library.functions#list",
"python.library.stdtypes#dict.values"
] | list(VAR_STR['A']['VAR_STR'].values())[0]['maindata'][0]['Info'] | conala |
14858916-19 | check characters of string `string` are true predication of function `predicate` | all(predicate(x) for x in string) | [
"python.library.functions#all"
] | all(VAR_STR(x) for x in VAR_STR) | conala |
6378889-70 | convert string `user_input` into a list of integers `user_list` | user_list = [int(number) for number in user_input.split(',')] | [
"python.library.functions#int",
"python.library.stdtypes#str.split"
] | VAR_STR = [int(number) for number in VAR_STR.split(',')] | conala |
6378889-60 | Get a list of integers by splitting a string `user` with comma | [int(s) for s in user.split(',')] | [
"python.library.functions#int",
"python.library.stdtypes#str.split"
] | [int(s) for s in VAR_STR.split(',')] | conala |
5212870-42 | Sorting a Python list by two criteria | sorted(list, key=lambda x: (x[0], -x[1])) | [
"python.library.functions#sorted"
] | sorted(list, key=lambda x: (x[0], -x[1])) | conala |
403421-17 | sort a list of objects `ut`, based on a function `cmpfun` in descending order | ut.sort(key=cmpfun, reverse=True) | [
"python.library.stdtypes#list.sort"
] | VAR_STR.sort(key=VAR_STR, reverse=True) | conala |
403421-16 | reverse list `ut` based on the `count` attribute of each object | ut.sort(key=lambda x: x.count, reverse=True) | [
"python.library.stdtypes#list.sort"
] | VAR_STR.sort(key=lambda x: x.VAR_STR, reverse=True) | conala |
403421-6 | sort a list of objects `ut` in reverse order by their `count` property | ut.sort(key=lambda x: x.count, reverse=True) | [
"python.library.stdtypes#list.sort"
] | VAR_STR.sort(key=lambda x: x.VAR_STR, reverse=True) | conala |
19601086-79 | click a href button 'Send' with selenium | driver.find_element_by_partial_link_text('Send').click() | [] | driver.find_element_by_partial_link_text('VAR_STR').click() | conala |
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