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 |
|---|---|---|---|---|---|
14411633-100 | do a boolean check if a string `lestring` contains any of the items in list `lelist` | any(e in lestring for e in lelist) | [
"python.library.functions#any"
] | any(e in VAR_STR for e in VAR_STR) | conala |
10972410-96 | combine two columns `foo` and `bar` in a pandas data frame | pandas.concat([df['foo'].dropna(), df['bar'].dropna()]).reindex_like(df) | [
"pandas.reference.api.pandas.concat",
"pandas.reference.api.pandas.index.dropna",
"pandas.reference.api.pandas.series.reindex_like"
] | pandas.concat([df['VAR_STR'].dropna(), df['VAR_STR'].dropna()]).reindex_like(df) | conala |
10915391-10 | sort a list of dictionaries `a` by dictionary values in descending order | sorted(a, key=lambda i: list(i.values())[0], reverse=True) | [
"python.library.functions#sorted",
"python.library.functions#list",
"python.library.stdtypes#dict.values"
] | sorted(VAR_STR, key=lambda i: list(i.values())[0], reverse=True) | conala |
10915391-39 | sorting a list of dictionary `a` by values in descending order | sorted(a, key=dict.values, reverse=True) | [
"python.library.functions#sorted"
] | sorted(VAR_STR, key=dict.values, reverse=True) | conala |
15210485-43 | split string `s` by '@' and get the first element | s.split('@')[0] | [
"python.library.stdtypes#str.split"
] | VAR_STR.split('VAR_STR')[0] | conala |
3523048-94 | Add a tuple with value `another_choice` to a tuple `my_choices` | final_choices = ((another_choice,) + my_choices) | [] | final_choices = (VAR_STR,) + VAR_STR | conala |
3523048-81 | Add a tuple with value `another_choice` to a tuple `my_choices` | final_choices = ((another_choice,) + my_choices) | [] | final_choices = (VAR_STR,) + VAR_STR | conala |
23286254-50 | pair each element in list `it` 3 times into a tuple | zip(it, it, it) | [
"python.library.functions#zip"
] | zip(VAR_STR, VAR_STR, VAR_STR) | conala |
19672101-46 | store integer 3, 4, 1 and 2 in a list | [3, 4, 1, 2] | [] | [3, 4, 1, 2] | conala |
3728017-8 | Sorting while preserving order in python | sorted(enumerate(a), key=lambda x: x[1]) | [
"python.library.functions#sorted",
"python.library.functions#enumerate"
] | sorted(enumerate(a), key=lambda x: x[1]) | conala |
40498088-80 | get list of sums of neighboring integers in string `example` | [sum(map(int, s)) for s in example.split()] | [
"python.library.functions#map",
"python.library.functions#sum",
"python.library.stdtypes#str.split"
] | [sum(map(int, s)) for s in VAR_STR.split()] | conala |
14745022-45 | split column 'AB' in dataframe `df` into two columns by first whitespace ' ' | df['AB'].str.split(' ', 1, expand=True) | [
"python.library.stdtypes#str.split"
] | VAR_STR['VAR_STR'].str.split(' ', 1, expand=True) | conala |
14745022-49 | pandas dataframe, how do i split a column 'AB' into two 'A' and 'B' on delimiter ' ' | df['A'], df['B'] = df['AB'].str.split(' ', 1).str | [
"python.library.stdtypes#str.split"
] | df['VAR_STR'], df['VAR_STR'] = df['VAR_STR'].str.split(' ', 1).str | conala |
14734750-16 | get multiple parameters with same name from a url in pylons | request.params.getall('c') | [] | request.params.getall('c') | conala |
2637760-10 | match contents of an element to 'Example' in xpath (lxml) | tree.xpath(".//a[text()='Example']")[0].tag | [] | tree.xpath(".//a[text()='Example']")[0].tag | conala |
36381230-4 | find rows of 2d array in 3d numpy array 'arr' if the row has value '[[0, 3], [3, 0]]' | np.argwhere(np.all(arr == [[0, 3], [3, 0]], axis=(1, 2))) | [
"numpy.reference.generated.numpy.argwhere",
"numpy.reference.generated.numpy.all"
] | np.argwhere(np.all(VAR_STR == [VAR_STR], axis=(1, 2))) | conala |
14524322-31 | How to convert a date string '2013-1-25' in format '%Y-%m-%d' to different format '%m/%d/%y' | datetime.datetime.strptime('2013-1-25', '%Y-%m-%d').strftime('%m/%d/%y') | [
"python.library.datetime#datetime.datetime.strptime",
"python.library.datetime#datetime.datetime.strftime"
] | datetime.datetime.strptime('VAR_STR', 'VAR_STR').strftime('VAR_STR') | conala |
14524322-31 | convert a date string '2013-1-25' in format '%Y-%m-%d' to different format '%-m/%d/%y' | datetime.datetime.strptime('2013-1-25', '%Y-%m-%d').strftime('%-m/%d/%y') | [
"python.library.datetime#datetime.datetime.strptime",
"python.library.datetime#datetime.datetime.strftime"
] | datetime.datetime.strptime('VAR_STR', 'VAR_STR').strftime('VAR_STR') | conala |
11300383-68 | find the count of a word 'Hello' in a string `input_string` | input_string.count('Hello') | [
"python.library.stdtypes#str.count"
] | VAR_STR.count('VAR_STR') | conala |
42178481-4 | count the number of trailing question marks in string `my_text` | len(my_text) - len(my_text.rstrip('?')) | [
"python.library.functions#len",
"python.library.stdtypes#str.rstrip"
] | len(VAR_STR) - len(VAR_STR.rstrip('?')) | conala |
7900882-78 | extract dictionary `d` from list `a` where the value associated with the key 'name' of dictionary `d` is equal to 'pluto' | [d for d in a if d['name'] == 'pluto'] | [] | [VAR_STR for VAR_STR in VAR_STR if VAR_STR['VAR_STR'] == 'VAR_STR'] | conala |
7900882-19 | extract dictionary from list of dictionaries based on a key's value. | [d for d in a if d['name'] == 'pluto'] | [] | [d for d in a if d['name'] == 'pluto'] | conala |
7670226-12 | get second array column length of array `a` | a.shape[1] | [] | VAR_STR.shape[1] | conala |
17134716-54 | convert the dataframe column 'col' from string types to datetime types | df['col'] = pd.to_datetime(df['col']) | [
"pandas.reference.api.pandas.to_datetime"
] | df['VAR_STR'] = pd.to_datetime(df['VAR_STR']) | conala |
11403474-99 | remove all non -word, -whitespace, or -apostrophe characters from string `doesn't this mean it -technically- works?` | re.sub("[^\\w' ]", '', "doesn't this mean it -technically- works?") | [
"python.library.re#re.sub"
] | re.sub("[^\\w' ]", '', 'VAR_STR') | conala |
11530799-66 | find the index of the element with the maximum value from a list 'a'. | max(enumerate(a), key=lambda x: x[1])[0] | [
"python.library.functions#enumerate",
"python.library.functions#max"
] | max(enumerate(VAR_STR), key=lambda x: x[1])[0] | conala |
29454773-91 | Check if string 'a b' only contains letters and spaces | """a b""".replace(' ', '').isalpha() | [
"python.library.stdtypes#str.isalpha",
"python.library.stdtypes#str.replace"
] | """VAR_STR""".replace(' ', '').isalpha() | conala |
4008546-45 | pad 'dog' up to a length of 5 characters with 'x' | """{s:{c}^{n}}""".format(s='dog', n=5, c='x') | [
"python.library.functions#format"
] | """{s:{c}^{n}}""".format(s='VAR_STR', n=5, c='VAR_STR') | conala |
32926587-42 | find all substrings in string `mystring` composed only of letters `a` and `b` where each `a` is directly preceded and succeeded by `b` | re.findall('\\b(?:b+a)+b+\\b', mystring) | [
"python.library.re#re.findall"
] | re.findall('\\b(?:b+a)+b+\\b', VAR_STR) | conala |
14442636-72 | check if a checkbox is checked in selenium python webdriver | driver.find_element_by_name('<check_box_name>').is_selected() | [] | driver.find_element_by_name('<check_box_name>').is_selected() | conala |
14442636-50 | determine if checkbox with id '<check_box_id>' is checked in selenium python webdriver | driver.find_element_by_id('<check_box_id>').is_selected() | [] | driver.find_element_by_id('VAR_STR').is_selected() | conala |
7657457-75 | Find all keys from a dictionary `d` whose values are `desired_value` | [k for k, v in d.items() if v == desired_value] | [
"python.library.stdtypes#dict.items"
] | [k for k, v in VAR_STR.items() if v == VAR_STR] | conala |
20183069-6 | sort a multidimensional array `a` by column with index 1 | sorted(a, key=lambda x: x[1]) | [
"python.library.functions#sorted"
] | sorted(VAR_STR, key=lambda x: x[1]) | conala |
3780403-38 | sum the length of all strings in a list `strings` | length = sum(len(s) for s in strings) | [
"python.library.functions#len",
"python.library.functions#sum"
] | length = sum(len(s) for s in VAR_STR) | conala |
14986218-40 | Convert a list of lists `lol` to a dictionary with key as second value of a list and value as list itself | {x[1]: x for x in lol} | [] | {x[1]: x for x in VAR_STR} | conala |
14734533-87 | get data of column 'A' and column 'B' in dataframe `df` where column 'A' is equal to 'foo' | df.loc[gb.groups['foo'], ('A', 'B')] | [
"pandas.reference.api.pandas.dataframe.loc"
] | VAR_STR.loc[gb.groups['VAR_STR'], ('VAR_STR', 'VAR_STR')] | conala |
21684346-78 | display a pdf file that has been downloaded as `my_pdf.pdf` | webbrowser.open('file:///my_pdf.pdf') | [
"python.library.webbrowser#webbrowser.open"
] | webbrowser.open('file:///my_pdf.pdf') | conala |
2173797-93 | sort 2d array `matrix` by row with index 1 | sorted(matrix, key=itemgetter(1)) | [
"python.library.functions#sorted",
"python.library.operator#operator.itemgetter"
] | sorted(VAR_STR, key=itemgetter(1)) | conala |
39373620-92 | get the max string length in list `i` | max(len(word) for word in i) | [
"python.library.functions#len",
"python.library.functions#max"
] | max(len(word) for word in VAR_STR) | conala |
39373620-74 | get the maximum string length in nested list `i` | len(max(i, key=len)) | [
"python.library.functions#len",
"python.library.functions#max"
] | len(max(VAR_STR, key=len)) | conala |
17352321-10 | find all occurrences of the pattern '\\[[^\\]]*\\]|\\([^\\)]*\\)|"[^"]*"|\\S+' within `strs` | re.findall('\\[[^\\]]*\\]|\\([^\\)]*\\)|"[^"]*"|\\S+', strs) | [
"python.library.re#re.findall"
] | re.findall('VAR_STR', VAR_STR) | conala |
12572362-45 | print a string after a specific substring ', ' in string `my_string ` | print(my_string.split(', ', 1)[1]) | [
"python.library.stdtypes#str.split"
] | print(VAR_STR.split(', ', 1)[1]) | conala |
677656-11 | extract attribute `my_attr` from each object in list `my_list` | [o.my_attr for o in my_list] | [] | [o.VAR_STR for o in VAR_STR] | conala |
13842088-36 | set the value of cell `['x']['C']` equal to 10 in dataframe `df` | df['x']['C'] = 10 | [] | VAR_STR[VAR_STR] = 10 | conala |
9621388-67 | how to get month name of datetime `today` | today.strftime('%B') | [
"python.library.time#time.strftime"
] | VAR_STR.strftime('%B') | conala |
9621388-54 | get month name from a datetime object `today` | today.strftime('%B') | [
"python.library.time#time.strftime"
] | VAR_STR.strftime('%B') | conala |
18050937-57 | execute shell command 'grep -r PASSED *.log | sort -u | wc -l' with a | pipe in it | subprocess.call('grep -r PASSED *.log | sort -u | wc -l', shell=True) | [
"python.library.subprocess#subprocess.call"
] | subprocess.call('VAR_STR', shell=True) | conala |
4004550-67 | Converting string lists `s` to float list | floats = [float(x) for x in s.split()] | [
"python.library.functions#float",
"python.library.stdtypes#str.split"
] | floats = [float(x) for x in VAR_STR.split()] | conala |
4004550-27 | Converting string lists `s` to float list | floats = map(float, s.split()) | [
"python.library.functions#map",
"python.library.stdtypes#str.split"
] | floats = map(float, VAR_STR.split()) | conala |
3476732-50 | iterate backwards from 10 to 0 | range(10, 0, -1) | [
"python.library.functions#range"
] | range(10, 0, -1) | conala |
18742657-57 | Execute Shell Script from python with variable | subprocess.call(['test.sh', str(domid)]) | [
"python.library.subprocess#subprocess.call",
"python.library.stdtypes#str"
] | subprocess.call(['test.sh', str(domid)]) | conala |
25355705-76 | count the number of integers in list `a` | sum(isinstance(x, int) for x in a) | [
"python.library.functions#isinstance",
"python.library.functions#sum"
] | sum(isinstance(x, int) for x in VAR_STR) | conala |
307305-84 | play the wav file 'sound.wav' | winsound.PlaySound('sound.wav', winsound.SND_FILENAME) | [
"python.library.winsound#winsound.PlaySound"
] | winsound.PlaySound('VAR_STR', winsound.SND_FILENAME) | conala |
3040904-33 | save json output from a url ‘http://search.twitter.com/search.json?q=hi’ to file ‘hi.json’ in Python 2 | urllib.request.urlretrieve('http://search.twitter.com/search.json?q=hi', 'hi.json') | [
"python.library.urllib.request#urllib.request.urlretrieve"
] | urllib.request.urlretrieve('http://search.twitter.com/search.json?q=hi',
'hi.json') | conala |
15886340-14 | remove uppercased characters in string `s` | re.sub('[^A-Z]', '', s) | [
"python.library.re#re.sub"
] | re.sub('[^A-Z]', '', VAR_STR) | conala |
37619348-38 | Get a list of lists with summing the values of the second element from each list of lists `data` | [[sum([x[1] for x in i])] for i in data] | [
"python.library.functions#sum"
] | [[sum([x[1] for x in i])] for i in VAR_STR] | conala |
37619348-52 | summing the second item in a list of lists of lists | [sum([x[1] for x in i]) for i in data] | [
"python.library.functions#sum"
] | [sum([x[1] for x in i]) for i in data] | conala |
22128218-47 | apply functions `mean` and `std` to each column in dataframe `df` | df.groupby(lambda idx: 0).agg(['mean', 'std']) | [
"pandas.reference.api.pandas.dataframe.groupby",
"pandas.reference.api.pandas.dataframe.agg"
] | VAR_STR.groupby(lambda idx: 0).agg(['VAR_STR', 'VAR_STR']) | conala |
2269827-12 | convert an int 65 to hex string | hex(65) | [
"python.library.functions#hex"
] | hex(65) | conala |
21778118-32 | count the number of non-nan elements in a numpy ndarray matrix `data` | np.count_nonzero(~np.isnan(data)) | [
"numpy.reference.generated.numpy.count_nonzero",
"numpy.reference.generated.numpy.isnan"
] | np.count_nonzero(~np.isnan(VAR_STR)) | conala |
2261011-58 | How can I resize the root window in Tkinter? | root.geometry('500x500') | [] | root.geometry('500x500') | conala |
19410585-47 | add header 'WWWAuthenticate' in a flask app with value 'Basic realm="test"' | response.headers['WWW-Authenticate'] = 'Basic realm="test"' | [] | response.headers['WWW-Authenticate'] = 'VAR_STR' | conala |
38331568-38 | return the column for value 38.15 in dataframe `df` | df.ix[:, (df.loc[0] == 38.15)].columns | [
"pandas.reference.api.pandas.dataframe.loc"
] | VAR_STR.ix[:, (VAR_STR.loc[0] == 38.15)].columns | conala |
13668393-94 | sort two lists `list1` and `list2` together using lambda function | [list(x) for x in zip(*sorted(zip(list1, list2), key=lambda pair: pair[0]))] | [
"python.library.functions#zip",
"python.library.functions#sorted",
"python.library.functions#list"
] | [list(x) for x in zip(*sorted(zip(VAR_STR, VAR_STR), key=lambda pair: pair[0]))] | conala |
22918212-12 | drop duplicate indexes in a pandas data frame `df` | df[~df.index.duplicated()] | [
"pandas.reference.api.pandas.index.duplicated"
] | VAR_STR[~VAR_STR.index.duplicated()] | conala |
9354127-56 | grab one random item from a database `model` in django/postgresql | model.objects.all().order_by('?')[0] | [
"python.library.functions#all"
] | VAR_STR.objects.all().order_by('?')[0] | conala |
2582580-92 | select a first form with no name in mechanize | br.select_form(nr=0) | [] | br.select_form(nr=0) | conala |
753052-14 | strip html from strings | re.sub('<[^<]+?>', '', text) | [
"python.library.re#re.sub"
] | re.sub('<[^<]+?>', '', text) | conala |
26033239-78 | convert a list of objects `list_name` to json string `json_string` | json_string = json.dumps([ob.__dict__ for ob in list_name]) | [
"python.library.json#json.dumps"
] | VAR_STR = json.dumps([ob.__dict__ for ob in VAR_STR]) | conala |
13168252-36 | Get a list comparing two lists of tuples `l1` and `l2` if any first value in `l1` matches with first value in `l2` | [x[0] for x in l1 if any(x[0] == y[0] for y in l2)] | [
"python.library.functions#any"
] | [x[0] for x in VAR_STR if any(x[0] == y[0] for y in VAR_STR)] | conala |
27758657-77 | find the largest integer less than `x` | int(math.ceil(x)) - 1 | [
"python.library.math#math.ceil",
"python.library.functions#int"
] | int(math.ceil(VAR_STR)) - 1 | conala |
18082130-81 | remove all words which contains number from a string `words` using regex | re.sub('\\w*\\d\\w*', '', words).strip() | [
"python.library.re#re.sub",
"python.library.stdtypes#str.strip"
] | re.sub('\\w*\\d\\w*', '', VAR_STR).strip() | conala |
18663644-86 | match a sharp, followed by letters (including accent characters) in string `str1` using a regex | hashtags = re.findall('#(\\w+)', str1, re.UNICODE) | [
"python.library.re#re.findall"
] | hashtags = re.findall('#(\\w+)', VAR_STR, re.UNICODE) | conala |
2133571-79 | Concat a list of strings `lst` using string formatting | """""".join(lst) | [
"python.library.stdtypes#str.join"
] | """""".join(VAR_STR) | conala |
7164679-63 | send cookies `cookie` in a post request to url 'http://wikipedia.org' with the python requests library | r = requests.post('http://wikipedia.org', cookies=cookie) | [
"pygame.ref.fastevent#pygame.fastevent.post"
] | r = requests.post('VAR_STR', cookies=VAR_STR) | conala |
15248272-21 | list comprehension that produces integers between 11 and 19 | [i for i in range(100) if i > 10 if i < 20] | [
"python.library.functions#range"
] | [i for i in range(100) if i > 10 if i < 20] | conala |
300445-24 | unquote a urlencoded unicode string '%0a' | urllib.parse.unquote('%0a') | [
"python.library.urllib.parse#urllib.parse.unquote"
] | urllib.parse.unquote('VAR_STR') | conala |
300445-76 | decode url `url` from UTF-16 code to UTF-8 code | urllib.parse.unquote(url).decode('utf8') | [
"python.library.urllib.parse#urllib.parse.unquote",
"python.library.stdtypes#bytearray.decode"
] | urllib.parse.unquote(VAR_STR).decode('utf8') | conala |
3961581-71 | display current time in readable format | time.strftime('%l:%M%p %z on %b %d, %Y') | [
"python.library.time#time.strftime"
] | time.strftime('%l:%M%p %z on %b %d, %Y') | conala |
27905295-6 | replace nans by preceding values in pandas dataframe `df` | df.fillna(method='ffill', inplace=True) | [
"pandas.reference.api.pandas.dataframe.fillna"
] | VAR_STR.fillna(method='ffill', inplace=True) | conala |
19643099-48 | sort list `list_` based on first element of each tuple and by the length of the second element of each tuple | list_.sort(key=lambda x: [x[0], len(x[1]), x[1]]) | [
"python.library.functions#len",
"python.library.stdtypes#list.sort"
] | VAR_STR.sort(key=lambda x: [x[0], len(x[1]), x[1]]) | conala |
1683775-89 | sort a multidimensional list `a` by second and third column | a.sort(key=operator.itemgetter(2, 3)) | [
"python.library.operator#operator.itemgetter",
"python.library.stdtypes#list.sort"
] | VAR_STR.sort(key=operator.itemgetter(2, 3)) | conala |
7270321-45 | Get all indexes of a list `a` where each value is greater than `2` | [i for i in range(len(a)) if a[i] > 2] | [
"python.library.functions#len",
"python.library.functions#range"
] | [i for i in range(len(VAR_STR)) if VAR_STR[i] > 2] | conala |
5399112-45 | replace special characters in url 'http://spam.com/go/' using the '%xx' escape | urllib.parse.quote('http://spam.com/go/') | [
"python.library.urllib.parse#urllib.parse.quote"
] | urllib.parse.quote('VAR_STR') | conala |
5486725-74 | execute a command in the command prompt to list directory contents of the c drive `c:\\' | os.system('dir c:\\') | [
"python.library.os#os.system"
] | os.system('dir c:\\') | conala |
17846545-92 | Compose keys from dictionary `d1` with respective values in dictionary `d2` | result = {k: d2.get(v) for k, v in list(d1.items())} | [
"python.library.functions#list",
"django.ref.class-based-views.generic-display#django.views.generic.list.BaseListView.get",
"python.library.stdtypes#dict.items"
] | result = {k: VAR_STR.get(v) for k, v in list(VAR_STR.items())} | conala |
2191699-35 | find all the elements that consists value '1' in a list of tuples 'a' | [item for item in a if 1 in item] | [] | [item for item in VAR_STR if 1 in item] | conala |
2191699-81 | find all elements in a list of tuples `a` where the first element of each tuple equals 1 | [item for item in a if item[0] == 1] | [] | [item for item in VAR_STR if item[0] == 1] | conala |
5625524-90 | execute os command ''TASKKILL /F /IM firefox.exe'' | os.system('TASKKILL /F /IM firefox.exe') | [
"python.library.os#os.system"
] | os.system('VAR_STR') | conala |
123198-58 | copy a file from `src` to `dst` | copyfile(src, dst) | [
"python.library.shutil#shutil.copyfile"
] | copyfile(VAR_STR, VAR_STR) | conala |
123198-2 | copy file "/dir/file.ext" to "/new/dir/newname.ext" | shutil.copy2('/dir/file.ext', '/new/dir/newname.ext') | [
"python.library.shutil#shutil.copy2"
] | shutil.copy2('VAR_STR', 'VAR_STR') | conala |
123198-90 | copy file '/dir/file.ext' to '/new/dir' | shutil.copy2('/dir/file.ext', '/new/dir') | [
"python.library.shutil#shutil.copy2"
] | shutil.copy2('VAR_STR', 'VAR_STR') | conala |
17462994-4 | Get a string with string formatting from dictionary `d` | """, """.join(['{}_{}'.format(k, v) for k, v in d.items()]) | [
"python.library.functions#format",
"python.library.stdtypes#dict.items",
"python.library.stdtypes#str.join"
] | """, """.join(['{}_{}'.format(k, v) for k, v in VAR_STR.items()]) | conala |
227459-13 | get the ASCII value of a character 'a' as an int | ord('a') | [
"python.library.functions#ord"
] | ord('VAR_STR') | conala |
227459-75 | get the ASCII value of a character u'あ' as an int | ord('\u3042') | [
"python.library.functions#ord"
] | ord('あ') | conala |
227459-40 | get the ASCII value of a character as an int | ord() | [
"python.library.functions#ord"
] | ord() | conala |
1580270-33 | What's the best way to search for a Python dictionary value in a list of dictionaries? | any(d['site'] == 'Superuser' for d in data) | [
"python.library.functions#any"
] | any(d['site'] == 'Superuser' for d in data) | conala |
11414596-44 | return dataframe `df` with last row dropped | df.ix[:-1] | [] | VAR_STR.ix[:-1] | conala |
15103484-71 | separate numbers from characters in string "30m1000n20m" | re.findall('(([0-9]+)([A-Z]))', '20M10000N80M') | [
"python.library.re#re.findall"
] | re.findall('(([0-9]+)([A-Z]))', '20M10000N80M') | conala |
15103484-54 | separate numbers and characters in string '20M10000N80M' | re.findall('([0-9]+|[A-Z])', '20M10000N80M') | [
"python.library.re#re.findall"
] | re.findall('([0-9]+|[A-Z])', 'VAR_STR') | conala |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.